EXPERIMENTAL CHARACTERIZATION AND MODELING OF HIGH STRENGTH MARTENSITIC STEELS BASED ON A NEW DISTORTIONAL HARDENING MODEL

BY

ELIZABETH K BARTLETT

A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY

UNIVERSITY OF FLORIDA

2018

© 2018 Elizabeth K Bartlett

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To my daughter, Gwyneth Webb, who helps me to have fun, laugh, and love through the most difficult times in my life.

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ACKNOWLEDGEMENTS

First, I would like to thank all the members of my supervisory committee for their support. I would especially like to thank my committee chair, Prof. Oana

Cazacu, for her support and constructive criticisms. It was an honor and a privilege to study her research. I would also like to thank Dr. Benoit Revil-

Baudard for his expertise in numerical methods.

I am so grateful for the support of the 96th Test Wing, my sponsoring facility in the Science, Mathematics, and Research for Transformation (SMART) scholarship program. Specifically, I would like to thank my commanders and supervisor, Mr. Ron Lutz, as well as, Mrs. Linda Busch and Dr. Betta Jerome.

I also greatly appreciate the support of the Air Force Research Laboratory

(AFRL) in the experimental characterization of Eglin steel: Dr. Geremy Kleiser and Dr. Philip Flater for their training in quasi-static testing, Dr. Brad Martin and

Dr. Xu Nie for their expertise in dynamic split Hopkinson pressure bar (SHPB) testing, Dr. Rachel Abrahams and Dr. Sean Gibbons for their instruction in microscopy and material science, and Mr. Richard Harris for his expertise in material characterization at the Advanced Weapons Effects Facility (AWEF).

I extend my gratitude to my friends and family for listening to me ramble on and on about subsequent yield surfaces and various hardening models.

Finally, I would like to thank Gwyneth Webb, my 12-year old daughter, for her encouragement and patience over long nights and weekends in room 171 of the

University of Florida (UF) Research and Engineering Education Facility (REEF).

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TABLE OF CONTENTS

PAGE

ACKNOWLEDGEMENTS ...... 4

LIST OF TABLES ...... 7

LIST OF FIGURES ...... 8

LIST OF ABBREVIATIONS ...... 13

ABSTRACT ...... 16

CHAPTER

1 INTRODUCTION ...... 18

1.1 Background of Ultra High Strength Martensitic Steel...... 18 1.2 Survey of the Experimental Studies on Martensitic Steels ...... 23 1.3 Eglin Steel, ES-1 ...... 32 1.4 Elastic-Plastic Modeling ...... 38 1.5 Goals of Current Research ...... 48

2 MICROSCOPY ...... 50

2.1 Optical Microscopy of ES-1 ...... 51 2.2 Material Characterization using SEM ...... 55

3 MECHANICAL CHARACTERIZATION OF ES-1 ...... 63

3.1 Hardness of Eglin Steel ...... 63 3.2 Quasi-Static Mechanical Characterization ...... 65 3.3 Dynamic Experimental Characterization of Eglin Steel ...... 82 3.4 Cyclic Experimental Characterization of ES-1 ...... 99 3.5 Summary of the Experimental Characterization of ES-1 ...... 104

4 ELASTIC-PLASTIC MODEL FOR EGLIN STEEL ...... 105

4.1 Development of the Yield Criterion ...... 105 4.2 Asymmetric Hardening ...... 112 4.3 Implementing the Proposed Yield Function ...... 137 4.4 Implications of the Proposed Yield Function ...... 143

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5 FINITE ELEMENT ANALYSIS ...... 145

5.1 Review of Finite Element Analysis ...... 145 5.2 Implementation of the Elastic-Plastic Model in FEA ...... 149 5.3 Finite Element Analysis of Ultra High Strength Martensitic Steel 151 5.4 Elastic-Plastic Model Predictions ...... 170

6 CONCLUSIONS AND RECOMMENDATIONS ...... 178

REFERENCES ...... 184

BIOGRAPHICAL SKETCH ...... 194

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LIST OF TABLES

Table Page

1-1 Monotonic and cyclic material properties...... 30

1-2 Chemical composition by percent weight of AF-1410, SAE 4340, and ES- 1...... 33

1-3 Mechanical properties under uniaxial, quasi-static tensile loading of AF- 1410, SAE 4340, and ES-1...... 34

2-1 Heat treatment schedule for ES-1...... 50

2-2 ES-1 grinding and polishing schedule...... 51

2-3 Chemical composition of ES-1 for EDS...... 56

3-1 Eglin steel material characterization test matrix...... 63

3-2 Yield and quasi-static compression test data...... 70

3-3 Coefficients involved in Swift and Voce Hardening Laws for ES-1...... 70

3-4 Summary of quasi-static tension test data...... 72

3-5 Hardening law parameters tensile round specimens...... 73

3-6 Tension-compression asymmetry ratio of ES-1 by plastic strain...... 76

3-7 Hardening law parameters flat tension specimens...... 77

3-8 Johnson and Cook material constants for forged, cast, and cast and HIP’d ES-1...... 94

4-1 Cazacu and Barlat yield criterion parameters...... 140

4-2 Points for linear interpolation of the Cazacu and Barlat asymmetry parameter, c...... 141

5-1 Finite element analysis simulation matrix...... 152

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LIST OF FIGURES

Figure Page

1-1 Tensile yield stress vs. strain-to-failure of current steels and expected strengths of third-generation UHSS...... 19

1-2 The unit cell of single-crystal microstructures of solid steel...... 20

1-3 Illustration of plastic deformation mechanisms...... 22

1-4 The fractional strength differential parameter vs. the carbon content by percent weight for different SAE 4300 series...... 24

1-5 The effect of tempering temperature on the strength differential of quenched and tempered 4340 UHSS...... 25

1-6 The effect of tempering on the flow stress of various steels...... 28

1-7 Absolute flow stress vs. plastic strain of SAE 4340 from hysteresis loops of cyclic testing...... 31

1-8 STF vs. tensile yield stress for different steels including conventional steels and UHSS...... 35

1-9 ES-1 symmetric plate impact experimental setup of Martin et al...... 37

1-10 Tresca in Haigh-Westergaard space with the hydrostatic axis and deviatoric plane...... 40

1-11 Von Mises yield surface in Haigh-Westergaard space with the longitudinal axis as the hydrostatic axis...... 41

1-12 Projection in the biaxial plane of the yield surfaces of Drucker, Mises, and Tresca yield criteria...... 42

1-13 Cazacu and Barlat yield surface in Haigh-Westergaard space...... 44

1-14 Projection in the biaxial plane of the Cazacu and Barlat yield surface corresponding to flow stress ratios of 3/4, 1, and 5/4...... 45

2-1 Z-stack of several pores on the polished surface of cast eglin steel specimen using CDIC...... 52

2-2 Photomontage stitched from nine individual images of the polished surface of cast ES-1 specimen containing several pores...... 53

2-3 Polished surface of ES-1 materials at 200 times magnification in an optical microscope with brightfield illumination...... 54

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2-4 Nitol etched cast material surface at 100 times magnification in Keyence optical microscope under brightfield illumination...... 55

2-5 Orientation map of forged Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure.Figure 2-6. Orientation map of forged Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure...... 57

2-6 Orientation map of cast and HIPd Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure...... 58

2-7 Orientation map of cast Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure...... 59

2-8 Pole figures of (001), (101), and (111) for forged, cast and HIP’d, and cast Eglin steel...... 60

3-1 Buehler Digital Hardness Tester MMT-3.Figure 3-1. Buehler Digital Hardness Tester MMT-3...... 64

3-2 AWEF quasi-static experimental characterization setup ...... 65

3-3 Quasi -static cylindrical compression test specimens...... 67

3-4 Quasi-static round bar compression test stress-strain results ...... 68

3-5 Comparison of the quasi-static compressive stress-strain response for the ES-1 materials...... 69

3-6 Hardening of ES-1 under compression according to Swift and Voce ...... 71

3-7 Schematic of the quasi-static round tensile test specimen...... 72

3-8 Stress strain curves for ES-1 quasi-static tension test results of forged, cast and HIP’d, and cast no HIP specimens...... 74

3-9 Fracture surface of the round specimens following tensile tests ...... 75

3-10 Fracture surface of the round specimens following tensile tests ...... 76

3-11 Schematic of the quasi-static (flat) pin-loaded tensile test specimen...... 78

3-12 Quasi-static tension characterization stress-strain response...... 79

3-13 Camera layout to capture 2-D measurements of the strain evolution on the face and the side of the flat specimens during quasi-static tensile testing...... 81

3-14 Width and thickness strain of flat specimens under uniaxial tension ...... 82

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3-15 Schematic SHPB with an illustration of the propagating strain waves...... 83

3-16 A free body diagram of a portion of the SHPB of length dx and cross sectional area A...... 87

3-17 Raw data from the dynamic SHPB characterization ...... 88

3-18 The SHPB test specimen subjected to forces at the incident and transmitted bar interfaces...... 89

3-19 UF REEF test equipment for dynamic SHPB characterizations ...... 90

3-20 Strain waves at the incident and transmitted strain gages ...... 91

3-21 Stress strain response of forged, cast and HIP’d, and cast no HIP ES-1 during SHPB tests...... 92

3-22 Forged Eglin steel cylindrical SHPB test specimens ...... 93

3-23 Comparison of quasi-static and dynamic stress-strain response ...... 95

3-24 Initial yield stress-strain-rate dependence of AF-1410, AISI 4340, and ES- 1 observed by Last in comparison to the cast material...... 96

3-25 Strain rate in forged, cast and HIP’d, and cast no HIP ES-1 during SHPB tests...... 97

3-26 Dynamic pulse shapers made of copper, steel, and Teflon ...... 98

3-27 Strain rate of forged test specimens without a pulse shaper, with the first pulse shaper, and with the second pulse shaper...... 99

3-28 Stress strain curves of forged specimens without a pulse shaper, with the first pulse shaper design and the second pulse shaper design...... 100

3-29 UF REEF materials lab for cyclic characterization of ES-1 ...... 101

3-30 Hysteresis loops of ES-1 under completely reversed displacement ...... 102

3-31 Uniaxial absolute flow stress of ES-1 at the limits of the elastic region under cyclic loading by plastic strain...... 103

3-32 Monotonic and kinematic stress-strain curves of Eglin steel ...... 105

4-1 Illustration of properties of yield surfaces with an associated flow rule .. 109

4-2 Cazacu and Barlat initial and two subsequent yield surfaces using classical isotropic hardening of forged ES-1 in the deviatoric plane...... 113

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4-3 The first stress-strain cycle of forged ES-1 during cyclic testing at completely reversed displacement of 0.57, 0.62 and 0.67 mm and the uniaxial tensile and compressive flow stress...... 118

4-4 Flow stress at the limits of the elastic region by plastic strain in forged ES- 1 under cyclic loading...... 119

4-5 The uniaxial back stress as a function of plastic strain for forged ES-1 under cyclic loading...... 120

4-6 Subsequent yield surfaces using classical isotropic, redefined isotropic, and kinematic hardening under uniaxial tensile loading...... 121

4-7 Evolution of the material asymmetry parameter, c, for forged ES-1 using the limits of the elastic region under cyclic loading...... 122

4-8 Uniaxial flow stress at the limits of the elastic region and yield surfaces in the deviatoric plane for several values of plastic strain in forged ES-1 under cyclic loading...... 123

4-9 Cazacu and Barlat subsequent yield surface in the deviatoric plane following uniaxial tension, compression, or pure shear strain...... 125

4-10 Decomposition of the yield surface with distortional hardening ...... 126

4-11 Cazacu and Barlat yield surface under both uniaxial tension and compression and the common component...... 128

4-12 Initial and subsequent Cazacu and Barlat yield surface under pure shear strain...... 129

4-13 Cazacu and Barlat initial and third invariant component of the subsequent yield surfaces using asymmetric isotropic hardening under uniaxial tensile loading in the deviatoric plane...... 136

4-14 Cazacu and Barlat yield surface in the deviatoric plane under uniaxial tension, uniaxial compression, and pure shear using distortional hardening...... 138

4-15 Cazacu and Barlat material parameter, c, by plastic strain for forged specimens, cast and HIP’d specimens and cast specimens...... 139

4-16 Cazacu and Barlat yield surfaces in the deviatoric plane ...... 142

5-1 Stress distribution according to the model within forged ES-1 under quasi- static uniaxial tension...... 153

5-2 Stress and plastic strain for forged ES-1...... 154

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5-3 The longitudinal strain distribution from DIC and FEA forged specimens...... 155

5-4 The longitudinal strain distribution from DIC and FEA cast and HIP’d specimens...... 155

5-5 The longitudinal strain distribution from DIC and FEA of cast specimens...... 156

5-6 Stress-strain curves of flat DIC and FEA specimens in tensile loading .. 157

5-7 The uniform, longitudinal stress distribution within the forged round finite element specimens under quasi-static compressive loading ...... 158

5-8 Stress-strain curves of round DIC and FEA compression specimens .... 159

5-9 The experimental and model load-displacement curves ...... 162

5-10 Stress-strain curves for round DIC and FEA tension specimens ...... 163

5-11 The von Mises stress distribution in the forged FEA specimen ...... 164

5-12 Evolution of the axial stress vs. equivalent plastic strain for tension- compression cyclic loading...... 166

5-13 Geometry of the thin-walled specimen used for free-end torsion loading with dimensions expressed in millimeters...... 168

5-14 Isocontour of the predicted axial displacement that develops during free- end torsion loading of a forged ES-1 material: ...... 169

5-15 Longitudinal elongation by shear strain for forged quasi-static specimens under quasi-static torsion...... 170

5-16 The finite element SHPB and an inset containing a close-up of an ES-1 specimen...... 171

5-17 SHPB incident, transmitted, and reflected waves from forged specimen and FEA...... 172

5-18 Equivalent plastic strain isocontour in the cylindrical Taylor impact specimen of forged ES-1...... 175

5-19 Linear relationship of deformed section length by deformed total length following experimental and simulated Taylor impact tests of specimens of ES-1...... 176

5-20 Stress strain response of ES-1 subject to dynamic strain rates in Taylor impact tests conducted by Torres et al...... 177

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LIST OF ABBREVIATIONS

AHSS Advanced high strength steel

AFRL Air Force Research Laboratory

AISI American Iron and Steel Institute

AUST SS Austenitic stainless steel

AWEF Advanced Weapons Effects Facility

BCC Body-centered cubic

BCT Body-centered tetragonal

C Celsius

CPB Cazacu, Plunkett, and Barlat

CDIC Circular polarized light differential interference

CP Complex-phase

DAS Dendritic arm spacing

DIC Digital image correlation

DP Dual-phase

EBSD Electron backscatter diffraction

EDS Energy dispersion spectrography

F Fahrenheit

FCC Face-centered cubic

FEA Finite element analysis ft Foot

GPa Gigapascal

HIP Hot isostatic pressure ksi Kilopounds per square inch

LVDT Linear variable differential transformer

13 m Meter

MHz Megahertz mm Millimeter

MPa Megapascal

MRD Maximum multiple random distribution ms Millisecond

MS Martensitic steel

OFHC Oxygen-free high thermal conductivity

Pa Pascal psi Pounds per square inch

REEF Research and Engineering Education Facility

RGB Red, green, and blue

RVE Representative volume element s Second

SEM Scanning electron microscope

SHPB Split Hopkinson pressure bar

STF Strain-to-failure

STN Strain-to-necking

STP Standard test procedure

TRIP Transformation-induced

TWIP Twinning-induced plasticity

UF University of Florida

UHSLA Ultra high strength low alloy

UHSS Ultra high strength steel

UMAT User material subroutine

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USAF United States Air Force

V Voltage

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Abstract of Dissertation Presented to the Graduate School Of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

EXPERIMENTAL CHARACTERIZATION AND MODELING OF HIGH STRENGTH MARTENSITIC STEELS BASED ON A NEW DISTORTIONAL HARDENING MODEL

By

Elizabeth K Bartlett

May 2018

Chair: Oana Cazacu Major: Mechanical Engineering

In this dissertation is presented an extensive experimental and theoretical investigation into the mechanical behavior of ultra high strength martensitic steels, with the overall goal of determining the effect of processing on the mechanical properties.

For this purpose, experimental characterization of forged, cast, and cast and hot-isostatically pressed (HIP) specimens was conducted for both quasi- static and high-rate loadings. For quasi-static loadings, the influence of loading history was quantified by performing monotonic compression, monotonic tension, and cyclic tension tests. Moreover, for monotonic tensile tests the influence of the specimen geometry on localization of the deformation and strain-to-failure was investigated. While the forged material demonstrated the greatest initial yield and flow stress for all loading conditions, the test results indicate that the ductility of the cast material was significantly increased by the subsequent HIP. Irrespective of processing, the martensitic steel studied displays a higher plastic flow stress in

16 uniaxial compression than in uniaxial tension, this strength differential effect evolving with accumulated plastic deformation.

Comparison between the quasi-static and dynamic flow stresses indicated that the dynamic increase factor is approximately 1.1 for all three materials.

On the basis of the experimental results, an elastic/plastic modeling approach was adopted. To account for tension-compression asymmetry in yielding the isotropic form of Cazacu and Barlat (2004) yield criterion was used.

As concerns hardening of martensitic steels, a new distortional hardening model was developed. In contrast to the existing hardening models, the new model proposed can account for the Bauschinger effects.

Finally, the theoretical model was implemented in a fully three- dimensional, implicit finite element solver, and the model predictions were validated through comparison with data that were not used for identification of the model parameters.

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CHAPTER 1 INTRODUCTION

This dissertation is devoted to the experimental characterization and modeling of the effect of the manufacturing processes on the mechanical behavior of a high strength martensitic steel, Eglin steel or ES-1. In this chapter, an overview of the state-of-the-art on the metallurgical studies, experimental mechanical characterization, and modeling of high strength steels is presented.

The key open research issues are identified along with the gaps in knowledge that are attempted to be filled by the research conducted as part of this dissertation.

1.1 Background of High Strength Martensitic Steels

Steels, alloys of iron and carbon, are some of the most widely used engineering materials due, in part, to its strength and ease of manufacture.

Generally, the production costs of steel remain low because of an abundance of suppliers and well-established supply lines. Although steel is viewed as nearly an obsolete material by some who are more interested in the attractive technology of, say, composite materials, the modern steel industry is using progressive research and providing new alloys with improved mechanical properties. This continuing progress in steel alloys development is due in a large part to ever-changing safety and environmental requirements affecting the contemporary automotive industry. A large class of new steels with yield strength greater than 1379 MPa—known as advanced high-strength steels

(AHSS) or ultra high-strength steels (UHSS) have been developed over the last decades. It encompasses dual-phase (DP) steels, complex-phase (CP) steels,

18 transformation-induced plasticity (TRIP) steels, twinning-induced plasticity

(TWIP) steels, and martensitic steels (MS).

The evolution of UHSS can be generally considered as comprising three distinct generations. The first-generation UHSS steels are well accepted and are currently widely in use in myriad applications. Examples include DP, CP and

TRIP. Other steels that are currently in transition from development into production include TWIP and austenitic stainless steel (AUST SS). These second-generation UHSS have high strength, comparable to MS, and display ductility similar to mild steel. Third-generation steels are currently in research and development, the aim being to fill the gap in terms of properties which is shown in the strain-to-failure (STF) vs. yield stress graph of Figure 1-1.

Figure 1-1. Tensile yield stress vs. strain-to-failure of current steels and expected strengths of third-generation UHSS.

Eglin steel is a third-generation martensitic steel that has been developed for use under dynamic conditions where exceptional strength and toughness are required (e.g. as a casing material that needs to survive the high-impact speeds

19 during deep penetration events). Iron is the base metal material and can take on the crystalline forms (allotropes in Figure 1-2): body-centered cubic (BCC) and face-centered cubic (FCC), depending on its temperature. The BCC form of iron

o is called ferrite (or -iron). Below 910 C, the BCC allotrope of pure iron is stable.

Above this temperature the face-centered cubic allotrope of iron, called austenite

(or -iron) is stable. Rapid cooling (quenching) of the austenite form of iron in oil or water at such a high rate that carbon atoms do not have time to diffuse results in the FCC austenite transforming into a body-centered tetragonal (BCT) form, called martensite that is supersaturated with carbon. The shear deformations taking place produce a large number of dislocations, which is a primary strengthening mechanism of the resulting martensitic steels.

Figure 1-2. The unit cell of single-crystal microstructures of solid steel. A) FCC, B) BCC, and C) BCT.

Moreover, the type of crystal structure present dictates the stress-strain response of the material and its ability to deform plastically (i.e. sustain permanent deformation). Irreversible or plastic deformation occurs by crystallographic slip or twinning, mechanisms illustrated schematically in

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Figure 1-3. During crystallographic slip, a lattice plane glides by an adjacent plane along a specific direction. Slip occurs on densely packed planes, and therefore the slip systems are different depending on the single-crystal structure.

An imperfection in the three-dimensional lattice is known as a dislocation. The energy required for the activation of crystallographic slip is significantly reduced in the vicinity of a dislocation. For example, in pure iron, the crystal structure has relatively little resistance to the iron atoms slipping past one another, and so pure iron is quite ductile, or soft and easily formed. In steel, small amounts of carbon, other elements, and inclusions within the iron act as hardening agents that prevent the movement of dislocations that are common in the crystal lattices of iron atoms. Another mechanism for plastic deformation in which the lattice structure rotates about a plane of symmetry is known as twinning (see

Figure 1-3). Cubic single-crystal structures generally require more energy to produce twinning and so twinning is less prevalent until temperatures dip well below ambient (<196oC) or very high strain rates (>106 /s) are produced (Blewitt et al., 1957, Huang et al., 1996).

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Figure 1-3. Illustration of plastic deformation mechanisms. A) slip and B) twinning.

Additionally, manufacturing processes can affect the microstructure and subsequent mechanical response of martensitic steels, and specifically ES-1.

Forging is a forming process that involves applying large compressive forces with a power hammer, press, or die to work a piece to deform it into a predetermined shape. Deformation of the metal is accomplished using hot, cold, or even warm forging processes. Ultimately, the manufacturer will look at a number of criteria before choosing which type of forging is best for a particular application. Forging

22 reduces the retained porosity of the material, reduces segregation, and realigns grains to increase the specimen strength.

Casting is a process in which a liquid metal is poured into a mold that contains a hollow cavity of the intended shape. The metal and mold are then cooled, and the metal part (the casting) is extracted. Casting including a solidification process, the solidification phenomenon controls most of the properties of the casting. Moreover, most of the casting defects occur during solidification, such as gas porosity and solidification shrinkage. To reduce this retained porosity, some castings are subjected to hot isostatic pressing (HIP). In the HIP process, the casting is subjected to both elevated temperature and isostatic gas pressure in a high-pressure containment vessel.

1.2 Survey of the Experimental Studies on Martensitic Steels

At present, most of the studies on martensitic steels report only the mechanical response under tensile loadings (e.g. Little et al., 1978). However, early researchers have investigated the mechanical response under both tensile and compressive loadings, and concluded that martensitic steels have higher flow stress in compression than in tension. A brief summary of the main findings is presented in the following.

Leslie and Sober (1967) conducted experiments on a dozen different materials including SAE 4300 steels under uniaxial tension and compression, at temperatures between -195oC and 23oC, and strain rates between 10-5 and 10-1 s-1. It was found that untempered martensites are more resistant to plastic flow in compression than in tension during initial yielding and the early stages of plastic

23 flow. To quantify this tension-compression asymmetry in the plastic regime, these authors introduced a parameter, called the fractional strength differential parameter (FSD), which is defined as:

 FSD  CT  CT, (1-1) where σC denotes the flow stress in uniaxial compression and σT is the flow stress in uniaxial tension. It was observed that for SAE 4300 series 4310, 4320,

4330, and 4340 steels there is a linear relationship between the fractional strength differential parameter and the carbon content by percent weight (see also Figure 1-4).

Figure 1-4. The fractional strength differential parameter vs. the carbon content by percent weight for different SAE 4300 series.

Several explanations for the observed strength differential in martensitic steels have been proposed. One of the explanations is that SD effects are due

24 to solute-dislocation interaction, namely that the resulting martensitic BCT structure, specifically the ratio c/a of the cell (see Figure 1-2) leads to non-linear local elastic strains. Using a conservative estimate of the carbon–dislocation interaction energy, Hirth and Cohen (1970) demonstrated that the resulting SD values are between 3 and 6%, a range similar to that observed experimentally.

Chait (1971) conducted uniaxial tension and compression tests of 4340 and H11 high-strength steels and 410 martensitic stainless steels at room temperature. A constant value of the SD parameter (see Eq. (1-1)) was observed over a large range of plastic strains for all steels except the stainless steel. Furthermore, Chait (1971) reported that for SAE 4340 the SD parameter

SD CT decreases with increasing tempering temperatures as shown in

Figure 1-5.

Figure 1-5. The effect of tempering temperature on the strength differential of quenched and tempered 4340 UHSS.

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Resistance to plastic strain increases with increasing strain rates. For example, Nadai (1963) reported that for 0.35 carbon steel there is a two-fold increase in flow stress as the strain rate was increased 10,000 times. More comprehensive surveys on the strain-rate sensitivity of various materials, including high-strength steels were conducted by Maiden and Green (1966), Last et al. (1996), and Johnson and Cook (1983).

Specifically, Maiden and Green (1966) conducted an investigation of the rate-sensitivity of several metallic and non-metallic materials using a medium strain-rate machine and a split Hopkinson pressure bar (SHPB) (for a description of this dynamic testing technique and apparatus, see Chapter 3) over a range of strain rates 10-3 to 104 s-1. They found that aluminum alloys 7075-T6 and 6061-

T6 were rate insensitive within this range. The rate-dependent behavior of 6A1-

4V titanium was described using a power law type relation between the uniaxial compressive flow stress normalized by the quasi-static compressive yield stress and the strain rate,  , i.e.

 n 1 k  C . (1-2)

In the above equation, k and n are constants. For 6A1-4V titanium, k=1 and n = 0.2.

Johnson and Cook (1983) presented a new equation for description of the effects of temperature and strain rate on the flow stress of materials based on data collected in quasi-static uniaxial tension tests and SHPB tensile tests at various temperatures. The materials tested included oxygen-free high thermal conductivity (OFHC) copper, Cartridge brass, Nickel 200, Armco tool, Tungsten 26 alloy, and DU-.71Ti depleted uranium. This empirical relationship was validated using Taylor impact tests in which strain rates are typically between 104 and 105 s-1. The isothermal form of Johnson-Cook equation is:

n *  AJ  BC J PJ1 P ln  (1-3)

* In the above equation, AJ, BJ, CJ, and n are material parameters, and  p is the relative plastic strain rate defined as:

  *  p p  p0 , (1-4)

Where  p is the dynamic plastic strain rate while  p0 is the quasi-static plastic strain rate.

Last et al. (1996) characterized the high strain-rate response of Hy100,

Hy130, and AF-1410, all martensitic steels. Hy100 was rate sensitive regardless of temperature. However, Last et al. (1996) found that the rate-sensitivity of

HY130 and AF-1410 increased with temperature as shown in Figure 1-6.

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Figure 1-6. The effect of tempering on the flow stress of various steels. Understanding and modeling the behavior of engineering materials, and in particular steels is a key for estimating the service life and safety of structural components.

The stress-strain response of most engineering metals under cyclic loading is often significantly different from the monotonic response. In fact, the stress-strain response observed during the first cycle of loading is often significantly different from the second, and the second is different from the third, until the material stabilizes. In the subsequent hysteresis loops of Ti-8A1-1Mo-

1V (Collins, 1981), the difference between the stress-strain response in the 100th and the 1000th cycle is less pronounced than that of the first and third.

Eventually, the same flow stress is observed in subsequent cycles (i.e. the material has stabilized) and a stable hysteresis loop is observed. Thus, the

28 stress evolves under subsequent reversals until it reaches stability as demonstrated by the stable hysteresis loop.

For martensitic steel SAE 4340, Collins (1981) reported stable hysteresis loops under completely reversed strain. Initially the material was subject to a tensile strain beyond yielding until the desired strain amplitude was attained.

Then, the displacement was reversed, unloading and reloading in compression within the elastic regime to the flow stress in compression, and then to the same strain amplitude, but this time in compression. Next, the displacement is reversed again, this time back to tension. The ability of a material to resist repeated straining is characterized through a cyclic stress-strain curve, loci of the maximum values of stress and strain from stable hysteresis loops at different levels of strain amplitude.

For SAE 4340 the monotonic flow stress is greater than the cyclic stress, meaning that SAE 4340 softens under cyclic loading by up to 30%.

Landgraf (1970) conducted a comprehensive experimental study in which he compared the hardening behavior of various metals, including martensitic steels, under monotonic and cyclic loadings. Moreover, for any given material he identified a power law type hardening model and reported the values of the respective coefficients. In Figure 1-1 are presented these results. Note that the high-strength materials (including martensitic steels) typically soften under cyclic loading. In addition, Landgraf (1970) also reported the monotonic and cyclic stress-strain behavior.

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Table 1-1. Monotonic and cyclic material properties. Material Condition Monotonic Cyclic Monotonic Cyclic Cyclic Yield Yield Strain Strain Behavior Strength Strength Hardening Hardening (MPa) (MPa) Exponent Exponent OFHC annealed 21 138 0.400 0.150 Hardens partial annealed 255 200 0.130 0.160 Stable cold worked 345 234 0.100 0.120 Softens 2024 Al T4 303 448 0.200 0.110 Hardens 7075 AL T6 469 517 0.110 0.110 Hardens Man-Ten steel as-received 379 345 0.150 0.160 Both SAE 4340 350 BHN* 1172 758 0.066 0.140 Softens Ti-8Al-1Mo-1V duplex annealed 1000 793 0.078 0.140 Both Waspaloy Ref 11 545 703 0.110 0.170 Hardens SAE 1045 595 BHN 1862 1724 0.071 0.140 Stable 500 BHN 1689 1276 0.047 0.012 Softens 450 BHN 1517 965 0.041 0.150 Softens 390 BHN 1276 758 0.044 0.170 Softens SAE 4142 670 BHN** 1620 N/A 0.140 N/A Hardens 560 BHN 1689 1724 0.092 0.130 Stable 475 BHN 1724 1344 0.048 0.120 Softens 450 BHN 1586 1069 0.040 0.170 Softens 380 BHN 1379 827 0.051 0.180 Softens *Quenched and tempered **As-quenched

The Bauschinger effect, illustrated in hysteresis loops, is so named after

Bauschinger (1886) who observed that “after the stress is reversed from tension to compression both the elastic range and a yield point for the reversed direction of straining have completely disappeared.” In other words, a material subject to uniaxial tension will harden in tension, but upon load reversal, the flow stress in compression is decreased. If the material is loaded in uniaxial compression, it hardens in compression and the tensile flow stress is decreased. The

Bauschinger effect is also seen in specimens that have been pre-strained. As an example, Paul (1968) presented the stress-strain response of copper in uniaxial tension tests and subsequent compression tests at room temperature from tests by Nadai (1963).

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To study the Bauschinger effect, the limits of the elastic region under uniaxial tension and compression were calculated based on the stable hysteresis loops of SAE 4340 presented by Collins (1981) using 0.1% offset following load reversal or the maximum absolute flow stress prior to load reversal. Figure 1-7 plots the absolute flow stress in uniaxial tension and uniaxial compression under completely reversed strain for SAE 4340. Notice the Bauschinger effect in Figure

1-7 for SAE 4340.

Figure 1-7. Absolute flow stress vs. plastic strain of SAE 4340 from hysteresis loops of cyclic testing.

Bridgman (1952) collected extensive experimental data at high hydrostatic pressure and concluded that the yield stress of metals is unaffected by hydrostatic pressures up to 2.8 GPa. However, Bridgman demonstrated immense increases in ductility under high hydrostatic pressure. For example, he

31 estimated true strain of 4.4  106 in the neck of steel tension specimens under hydrostatic pressure of 9.8 GPa.

With an understanding of the microstructure and mechanical behavior of martensitic steels, a brief history and survey of Eglin steel, specifically, follows in

Section 1.3.

1.3 Eglin Steel, ES-1

AF-1410 is a high-strength, high-toughness, super alloy steel for use in aerospace applications. In an effort to find a lower-cost substitute for AF-140,

Ellwood National Forge Company developed a new class of high-strength, low- alloy martensitic steel called Eglin steel (ES-1). ES-1 received the patent

US7537727 Eglin Steel—A Low Alloy High Strength Composition by Morris

Dilmore and James Ruhlman (2009).

Table 1-2 presents the chemical composition of a high-alloy steel AF-

1410, UHSLA standard SAE 4340, and that of ES-1 for comparison.

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Table 1-2. Chemical composition by percent weight of AF-1410, SAE 4340, and ES-1. Element AF-1410* SAE 4340** ES-1 (%) (%) (%) Cobalt 13.5-14.5000 0.000 0.000 Nickel 9.5-10.5000 1.65-2.000 5.000 Chromium 1.8-2.2000 0.7-0.900 2.380 Molybdenum 0.9-1.1000 0.2-0.300 0.550 Carbon 0.13-0.1700 0.37-0.430 0.250 Manganese <0.1000 0.6-0.800 0.850 Silicon <0.1000 0.15-0.300 1.250 Aluminum 0.0000 0.000 0.000 Vanadium 0.0000 0.000 0.180 Tin <0.0020 0.000 0.000 Lead <0.0020 0.000 0.000 Zirconium <0.0020 0.000 0.000 Boron <0.0005 0.000 0.000 Sulphur <0.0050 <0.040 0.012 Phosphorus <0.0080 <0.035 0.015 Tungsten 0.0000 0.000 1.980 Copper <0.1000 0.000 0.500 Calcium 0.0000 0.000 0.020 Nitrogen <0.0015 1.65-2.000 0.140 Iron Bal. Bal. Bal. *AF-1410 chemical composition from Little (1979). **SAE 4340 chemical composition from Lynch (2011).

Notice the total alloy content of AF-1410, SAE 4340, and ES-1 are as high as 29, 6, and 13%, respectively. Also, note that ES-1 uses roughly half as much nickel and cobalt as other superalloys (e.g. AF-1410), which makes it a low-cost alternative. Although the percentage of nickel was decreased in ES-1 compared to AF-1410, substituting silicon to help with toughness and particles of vanadium carbide and tungsten carbide for additional hardness and high- temperature strength ensured that ES-1 has the required properties. Moreover,

ES-1 contains less carbon than SAE 4340, and thus the tetragonality of ES-1

(ratio of c/a of its BCT structure, see also Figure 1-2) is just 1.01.

In addition to smaller amounts of expensive alloys, Eglin steel’s low cost is in part a result of its manufacturability and machinability. Ingots of ES-1 are manufactured by several processes depending on the application requirements;

33 these processes include electric arc, ladle refined, vacuum treated, vacuum induction melting, vacuum arc re-melting, and/or electro-slag re-melting.

However, the ingot manufacturing process does affect the mechanical properties.

Final Eglin steel products can be produced by forging, casting, extrusion, rolling or other conventional methods in accordance with the patent.

Before publishing the patent, Eglin steel was tested in quasi-static and dynamic tension at ambient and high temperatures. The Rockwell hardness and

Charpy V-notch energy were also measured. Table 1-3 presents the ultimate tensile strength, initial yield stress, and strain-to-failure in uniaxial tension of ES-1 along with the same properties of other martensitic steels: AF-1410 and SAE

4340.

Table 1-3. Mechanical properties under uniaxial, quasi-static tensile loading of AF-1410, SAE 4340, and ES-1. Ultimate Tensile Yield Strength Strain to Failure Strength (%) (%) (%) AF-1410 1620 1482 12.0 SAE 4340 1793 1496 10.0 ES-1 1701 1337 18.4 * AF-1410 mechanical properties from Little (1979) ** SAE 4340 mechanical properties from Lynch (2011).

Note that the largest percentage difference in both ultimate tensile and yield strength between the three UHSS is approximately 10%. The reported strain-to-failure of ES-1 is significantly higher than AF-1410 and SAE 4340. SAE

4340 has the highest initial yield strength and ultimate tensile strength.

The graph in Figure 1-8 shows the tensile yield stress vs. STF of several UHSS including ES-1. Notice that Eglin steel is a high strength steel with twice the ductility of other martensitic steels.

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Figure 1-8. STF vs. tensile yield stress for different steels including conventional steels and UHSS. Boyce and Dilmore (2009) used a servohydraulic motor outfitted with a custom-built load cell to characterize the stress-strain response of flat specimens of AerMet100, 4340M, HP9-4-20 and ES-1c in both the quasi-static and dynamic regimes. They used strain gages in a custom built load cell on the upper and lower threaded sections of the test specimens to measure the load in addition to the standard quartz load cell that introduces oscillations in the force data.

Secondly, a rubber pulse shaper was used in the high strain-rate experiments (1 to 200 s-1) to reduce the elastic oscillations in the test. Using both of these methods the oscillations were dampened enough to directly determine the 0.2% offset from the stress-strain curve. All of the alloys exhibited slight strain-rate sensitivity (magnification factors between 1.06 – 1.10 at 2% strain). The data was used to obtain the coefficients of a power law hardening for strain-rate sensitivity (see Eq. (1-2)), and a semi-logarithmic relationship, which is more typical for ferrous materials. It is worth noting that among all the alloys on which

35 the authors reported data, Eglin steel was the only alloy that shows increase in ductility with increasing the strain rate.

In addition to the experimental characterization completed by Dilmore and

Ruhlman (2009) and included in the patent, several other researchers conducted dynamic characterization experiments on ES-1. Importantly, Torres et al (2009) completed twenty Taylor impact tests with 164-caliber (41.66 mm) and 215- caliber (54.61) cylindrical specimens to determine the stress-strain response of

Eglin steel at strain rates between 103 and 104 s-1 which are higher than those that can be achieved with the SHPB apparatus, but lower strain rates that occur in plate impact tests. To interpret the data, use was made of the one- dimensional theory proposed by Jones et al. (1998). However, it was found that a 1-D analysis is no longer accurate for strains larger than 10%. Nevertheless, it was possible to estimate the dynamic flow stress at 10% deformation, which appears to be approximately 2.5 GPa.

Martin et al. (2012) conducted five symmetric plate impact tests, with the impact velocities being between 400 and 1000 m/s using ES-1 impactors and targets. Prior to conducting the tests, Martin et al. (2012) used ultrasonic techniques to determine the average longitudinal and shear wave speeds of the material. It was found that ES-1 has average longitudinal and shear wave speeds of 5.88 and 3.20 km/s and bulk wave speed of 4.58 km/s (Poisson ratio 0.29).

The impactors were launched from a smooth bore powder gun and a velocity interferometer (VISAR) was used to measure the velocity of particles on the back side of the targets as shown in Figure 1-9.

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Figure 1-9. ES-1 symmetric plate impact experimental setup of Martin et al.

The Hugoniot elastic limit σHEL is defined as:

0CuLE  HEL  2 (1-5) where ρ0 is the initial density, CL is the longitudinal wave speed, and uE is the particle velocity where the elastic to plastic transition occurs. For ES-1, σ HEL is approximately 2.35 GPa.

The spall strength (dynamic tensile strength) is defined as:

 Cu S  0 L pb 2 (1-6) where Δupb denotes the pullback signal.

Estimating the pullback signal as being Δupb~0.279 km/s, the spall strength of ES-1 calculated with the above formula is: S~6.34 GPa.

Finally, in experiments conducted by Weiderhold, Lambert, and Hopson

(2010), the detonation of hollow explosive-laden cylinders of Eglin steel was used to analyze fragmentation and develop a statistical failure model.

In summary, prior to the research done as part of this dissertation the stress-strain response has been experimentally characterized only under uniaxial loading. In reality, materials are subjected to complex three-dimensional loads.

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As materials cannot be tested in every possible loading configuration, a model is required to predict behavior under complex, three-dimensional loads. Ultra high- strength martensitic steels exhibit a well-defined yield stress and plastic deformation. Therefore, the most appropriate framework for modeling their behavior is that of the elastic-plastic theory. The general form of the governing equations is briefly presented in the following, along with the state-of-the art in description of yield criteria and hardening laws for metallic materials.

1.4 Elastic-Plastic Modeling

1.4.1 Yield Criteria

Elastic-plastic models best describe polycrystalline materials that have a well-defined yield stress that defines the onset of plastic deformation. Yield criteria define the boundary between the elastic and plastic regimes, and can be visualized in six-dimensional stress space by surfaces. In the interior of the yield surface the material behavior is elastic, usually characterized by Hooke’s linear relationship. On the yield surface, the material behavior is plastic, nonlinear, and depends on internal variables such as loading history. The yield surface grows, translates, and changes shape based on the hardening behavior of the material.

Therefore, the yield function (F) is commonly expressed as the difference between the effective stress ( ), a function of the Cauchy stress and a measure of the equivalent plastic strain, and the hardening (Y), which is a function of only the equivalent plastic strain:

FYσσ,p   ,  p   p   0 (1-7)

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The earliest yield criterion for isotropic pressure-insensitive metals was proposed by Henri Tresca in 1865. It states that yielding occurs when the

maximum shear stress reaches a critical value,  f . This criterion can be

expressed in terms of the principal stresses 123,,    as:

max(,,) 2       1 2 2 3 1 3 f . (1-8)

The Tresca yield criterion is independent of the hydrostatic pressure (or mean stress) and therefore can also be written in terms of the deviatoric stress and the surface can be presented in the three-dimensional principal stress space

(or Haigh-Westergaard space) as an infinite, hexagonal prism with the longitudinal axis (Figure 1-10) coinciding with the hydrostatic axis, or as a regular hexagon in the deviatoric or  plane, (plane having the normal the hydrostatic axis).

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Figure 1-10. Tresca yield surface in Haigh-Westergaard space with the hydrostatic axis and deviatoric plane. Richard Edler von Mises proposed in 1913 another yield criterion for isotropic materials which states that yielding occurs when J2, the second invaraint of the stress deviators reaches a critical value. It follows that the criterion writes:

1 2 2 2 2 J2 s 1  s 2  s 3    T /3 (1-9) 2

where s1, s2, s3, are the principal values of the stress deviator s and T is the yield stress in uniaxial tension. In the Haigh-Westergaard space, the von mises yield surface is a right circular cylinder of generator the hydrostatic axis (Figure

1-11).

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Figure 1-11. Von Mises yield surface in Haigh-Westergaard space with the longitudinal axis as the hydrostatic axis. In 1949, Daniel C. Drucker proposed a yield criterion for isotropic

materials that involves both J2 and the third-invariant  J3 s 1 s 2 s 3  of the deviatoric stress. It is expressed as:

3 2 6 J23 cJ  f (1-10) where c is a material parameter.

The projections in the biaxial plane (3  0 ) of the yield surfaces of the

Drucker (1949) corresponding to c=2.25, Mises, and Tresca yield criteria in the plane of the third principal stress are presented in Figure 1-12.

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Figure 1-12. Projection in the biaxial plane of the yield surfaces of Drucker, Mises, and Tresca yield criteria. Note that according to either criterion the yield stress in tension is equal to the yield stress in compression.

In 1954, Hershey proposed an yield function later used by Hosford (1972) expressed in terms of principal stresses.

The criterion involves a unique parameter n. It reduces to Tresca's criterion for n=infinity and to von Mises for n=2.

1 1n 1 n 1 n n  1   2   2   3   1   3 (1-11) 2 2 2

In 2004, Cazacu and Barlat formulated an isotropic yield criterion represented by an odd function that depends on both invariants J2 and J3. In this manner, it was possible for the first time, to account for tension-compression asymmetry in yielding of pressure-insensitive metals. Its expression is:

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1 3 3 2 JJ23  T  3 . (1-12) 3 3 2c 

The coefficient, c, can be determined based on the flow stress in tension

(T ) and compression (C ) as (see Cazacu and Barlat, 2004):

33 33TC  c  33. (1-13) 2TC 

The Cazacu and Barlat (2004) isotropic yield function reduces to von

Mises for c  0 . For c  0 , the Cazacu and Barlat (2004) yield criterion is a triangular prism with a longitudinal axis coinciding with the hydrostatic axis

(Figure 1-13).

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Figure 1-13. Cazacu and Barlat yield surface in Haigh-Westergaard space.

The projections in the biaxial plane (3  0 ) of the Cazacu and Barlat

(2004) yield surface is presented in Figure 1-14 for various ratios of flow stress

(TC/ =3/4, 1, and 5/4) which correspond to c=1.056, 0.000, and 0.082, respectively.

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Figure 1-14. Projection in the biaxial plane of the Cazacu and Barlat yield surface corresponding to flow stress ratios of 3/4, 1, and 5/4. Porosity can produce pressure dependence on yielding. Gurson deduced the yield criterion for a von Mises material containing randomly distributed pores.

The pores were either of spherical or cylindrical geometry. In 2009, Cazacu and

Stewart (2009) developed a yield criterion for isotropic materials that display tension-compression asymmetry based on Cazacu, Plunkett, and Barlat (2006), also known as CBP-06, rather than von Mises effective stress:

 2 em  3  2  2ff cosh    1  m  0 TT  2    (1-14)  2 em3 2 2ff cosh  1  m  0 TC2

where

m is the mean macroscopic stress,

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e is the effective macroscopic stress,

C is the absolute value of the matrix material yield stress under uniaxial compression,

T is the matrix material yield stress in uniaxial tension, and

f is the void volume fraction.

This is not an exhaustive list of yield criteria, and many other criteria exist to model materials with different characteristics. For example, several models for nonmetallic materials include the first invariant of the stress to account for pressure sensitivity. Furthermore, many materials display orthotropic behavior and are better described by orthotropic criteria such as that of Hill (1948) and

Cazacu, Barlat and Plunkett (2006).

In this research, a new elastic-plastic model based on hardening as a function of the second and third invariants of plastic strain using Cazacu and

Barlat (2004) asymmetric yield criteria is developed with a completely new approach to the definition of asymmetry. Therefore, a background of existing hardening models is presented in the subsequent section.

1.4.2 Background of Hardening Models

The term hardening often evokes the uniaxial stress-strain response of materials under monotonic, uniaxial tension. Under this loading, a simple power law approach can be used to describe the hardening or the increase in flow stress following initial yielding of the material. In three dimensions, hardening is characterized by subsequent yield surfaces that satisfy the yield function (Eq

(1-15)). Paul (1968) describes the three-dimensional hardening as isotropic if the

46 subsequent yield surfaces are larger than the previous yield surface without a change in shape or translation in stress space and kinematic if the subsequent yield surfaces translate in Haigh-Westergaard space. In 1957, Hodge proposed combined hardening with an isotropic component (Y) and a kinematic portion resulting from a fictitious back stress ( ):

FYσσ, ,, ppp         (1-15)

1.4.2.1 Isotropic hardening

The isotropic hardening, defined as the expansion of the yield surface of metallic materials under monotonic loading is generally considered to be a function of equivalent plastic strain and can be described utilizing the hardening curve of the material observed in uniaxial tension. The equivalent plastic strain

 p associated to a given yield criterion is defined by the work equivalence principle (Hill, 1987). For example, if a material is governed by the von Mises yield criterion, we have

2 . (1-16)  p  εpp : ε 3

Typical rate-independent isotropic hardening laws are Swift (1952) law and Voce (1948) law.

p ns Yk  sp (1-17)

p CVp Y   AVV B e (1-18)

In the above equations, ks and ns and AV, BV, and CV are the material parameters.

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1.4.2.2 Kinematic hardening

To account for the Bauschinger effect, kinematic hardening under cyclic loading is usually modeled by a translation of the yield surface resulting from the application of a fictitious back stress tensor (). It should be noted that a nonzero back stress destroys the symmetry based on the principal deviatoric stresses. Several kinematic hardening models have been proposed including

Melan (1938) based on the plastic strain tensor, Prager (1955) based on the plastic strain-rate tensor, and Lubliner (1990) with a term dependent on the equivalent plastic strain rate presented below with material constants c and a:

  cεp   cεp (1-19) caερp p

Dafalias and Popov (1975) and Krieg (1975) defined two-surface models in which the yield surface is limited by an outer bounding surface in stress space.

1.5 Goals of Current Research

The overall goal of the dissertation research is to determine, for the first time, the effect of three different manufacturing processes on the mechanical response of Eglin steel: Chapter 2 presents the microstructure and porosity of the material under study in its initial condition. Chapter 3 presents an in-depth experimental characterization of the material response under various loading paths and strain rates. Chapter 4 includes a review of finite element analysis, a development of the theoretical model, identification of material parameters, and integration of the theoretical model into a fully three dimensional finite element analysis. Chapter 5 explains the model validation using independent

48 experimental data and finite-element analyses as well as predictions of the material response under more complex loadings and higher strain rates. Finally,

Chapter 6 concludes this dissertation and research with a brief summary and recommendations for continuing this exciting research.

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CHAPTER 2 MICROSCOPY

Each manufacturing processing procedure implies different consequences for the material: forging is a costly process but reduces porosity, shrinkages and cavities, while casting is a cheaper process, but voids and cavities are created during the solidification of the material. Most of the defects induced by solidification could be removed with an HIP operation. Therefore, the initial condition of each material including chemical composition, porosity, prior austenite grain size, and dendrite arm spacing (DAS) was characterized using microscopy.

The cast Eglin steel was received at AFRL in 2-in thick plates. The HIP process involved heating the cast specimens to 2125oF at 15 ksi. All the of cast specimens were then subject to homogenization to decrease segregation, austenization to break down iron carbides, quenched to form martensite, and tempered to relieve residual stresses. The forged specimens were subject to a milder heat treatment process due to the superior homogeneity of forged materials as compared to cast materials. The heat treatment schedules for all three manufacturing processes are summarized in Table 2-1.

Table 2-1. Heat treatment schedule for ES-1. Forged Cast and HIP’d Cast Hydrogen Bake 315oC/12 hr HIP @ 103 MPa - 1163oC/4hr - Homogenization 1163oC/4 hr - 1163oC/4 hr Sub-critical Anneal 677oC/4 hr (Air) Austenization 1010oC/1.5 hr (Vacuum) Quench Fast-Quench (Oil) Temper 204oC/4 hr (Recirculating air)

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Next, four different ASTM standard test specimens were machined from the ES-1 plates: 25.4-mm flat tension, 25.4-mm round tension, and round compression with diameters of 5.08 mm and 7.62 mm. An ES-1 specimen of each manufacturing process was sectioned, mounted in polyfast resin using a

Struers ProntoPress-22, ground to plane, and polished on a Struers autopolisher in accordance with ASM Metallurgy and Metallography Handbook as summarized in Table 2-2. Finally, the specimens were polished in a Struers vibratory polisher with OP-U Silica Carbide suspension at 40% for 2 hours.

Table 2-2. ES-1 grinding and polishing schedule. Process Grit Speed Force Time Lubricant Surface (rpm) (N) (min) Grind 220 300 20 5 Water N/A Grind 320 300 20 5 Water N/A Grind 500 300 20 5 Water N/A Grind 1200 300 20 5 Water N/A Polish 9 μm 150 20 4 Blue MD-Largo, Polish 3 μm 150 20 4 Blue MD-Dur

2.1 Optical Microscopy ES-1

The best way to characterize porosity in ES-1 according to Foley (2016) is optical microscopy of polished specimens using brightfield illumination.

Therefore, each specimen of ES-1 was examined under a Zeiss Axio Observer

Z1 optical microscope to evaluate the porosity. The cast specimens contained several large pores resulting from partially fused dendrites that may have resulted from inadequate feeding as volume shrinkage occurred during solidification. The relatively large pores in the cast material were examined using

Circular polarized light differential interference contrast (CDIC) to emphasize the depth of the pores. Several examples are displayed in Figure 2-1 and the entire surface is shown in Figure 2-2.

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Figure 2-1. Z-stack of several pores on the polished surface of cast eglin steel specimen using CDIC.

52

Figure 2-2. Photomontage stitched from nine individual images of the polished surface of cast ES-1 specimen containing several pores.

An image processing program, Image J, was used to count (Np) and

2 2 measure the average area (Ap) of pores above 1.175 μm in a 2.5 mm area of the materials at 200 times magnification as shown in Figure 2-3. Assuming a spherical representative volume element (RVE), the two dimensional measured area volume fraction of the polished surface was used to calculate the RVE inner

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a3 (a) and outer (b) radii and the void volume fraction ( f  ). As expected the v b3 void volume fraction of the forged material is insignificant while that of the cast and cast and HIPd materials is 0.007 and 0.001, respectively.

Figure 2-3. Polished surface of ES-1 materials at 200 times magnification in an optical microscope with brightfield illumination. A) forged, B) cast and HIPd, and C) cast.

To measure the dendritic arm spacing (DAS), a sample of the cast material was etched with Nitol and placed in a Keyence optical microscope using brightfield illumination. Due to the tempering, the dendrites are more difficult to identify, however, the DAS was approximated as 173 μm using the two dendrites highlighted in Figure 2-4. The dendrites of the cast and HIPd and forged specimens were severely deformed in the high pressure operations and thus the

DAS was not measured.

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Figure 2-4. Nitol etched cast material surface at 100 times magnification in Keyence optical microscope under brightfield illumination. 2.2 Material Characterization using SEM

The microscopy specimens were then mounted in an FEI Quanta 200F scanning electron microscope (SEM) and subject to a vacuum for energy dispersion spectrography (EDS) to determine the approximate chemical composition of ES-1 developed by each manufacturing process shown in Table

2-3.

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Table 2-3. Chemical composition of ES-1 for EDS. Elements Eglin Steel* Forged Cast Cast and (%) HIP’d Nickel <5.000 1.00 0.98 1.07 Chromium 1.5-3.250 2.57 2.56 2.70 Molybdenum <0.550 0.60 0.67 0.69 Carbon 0.16-0.350 2.87 1.83 1.52 Manganese <0.850 1.06 0.50 0.58 Silicon <1.250 1.20 1.11 1.22 Vanadium 0.05-0.300 0.14 0.08 0.08 Sulphur <0.012 0.00 0.00 0.00 Phosphorus <0.015 0.00 0.00 0.00 Tungsten 1.17-3.250 1.00 0.87 0.75 Copper <0.500 0.00 0.00 0.00 Calcium <0.020 0.00 0.00 0.00 Nitrogen <0.140 0.00 0.00 0.00 Aluminum <0.050 0.00 0.00 0.00 Iron Bal. 89.55 91.41 91.39 *Nominal ES-1 composition from Boyce and Dilmore (2009).

The EDS indicates the molybdenum is slightly high and the tungsten low.

Errors in the light elements like Carbon are expected using EDS with various elements. Then, the electron backscatter diffraction (EBSD) was conducted within the SEM equipped with EDAX Hikari cameras to establish average grain size, grain orientation, and texture.

The orientation maps in Figures 2-6 through 2-8 show the orientation of

BCC single-crystal grains with respect to the surface normal (z) using a red, green, and blue (RGB) color scheme coupled to Miller indices as indicated in

Figure 2-5.

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Figure 2-5. RGB color scheme coupled with Miller indices (001), (101), and (111) in cylindrical coordinates of the specimen cross section.

57

Figure 2-6. Orientation map of forged Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure.

58

Figure 2-7. Orientation map of cast and HIPd Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure.

59

Figure 2-8. Orientation map of cast Eglin steel demonstrating prior austenite grain boundaries and martensitic lath structure. The prior austenite grain sizes (G) 5.0 was determined using the linear intercept method and the circular intercept method outlined in ASTM E112-13

Standard Test Methods for Determining Average Grain Size for all three materials.

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Additionally, EBSD was used to create pole figures and analyze the texture of each material. Texture is the preferential alignment of grains within a material. Texture commonly develops from material processing, but can be mitigated by tempering. The pole figures, one figure from a plane from each family in the cubic crystalline structure (001), (101), and (111), are presented in

Figure 2-9. The BCC orientation of all three crystal planes for all three material processes appears to be random, confirming the samples are isotropic. The maximum multiple random distribution (MRD) of 4.917 in the forged specimen indicates that the (111) plane is approximately 5 times more likely to be oriented at approximately 75o polar angle and 200o azimuth.

After the initial condition of the materials was determined, an extensive suite of experiments was conducted to characterize the mechanical behavior of the materials. The experimental characterization is presented in Chapter 3.

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Forged

Cast and HIP’d

Cast

Figure 2-9. Pole figures of (001), (101), and (111) for forged, cast and HIP’d, and cast Eglin steel.

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CHAPTER 3 MECHANICAL CHARACTERIZATION OF ES-1

In this chapter are presented the investigation conducted into the mechanical behavior of ES-1 for each condition (i.e. forged, cast, cast and

HIP’d). A suite of experiments was conducted on all three ES-1 materials to characterize the room-temperature mechanical response for both quasi-static and dynamic strain rates, under a variety of test conditions (e.g. quasi-static and monotonic loadings and specimen geometries). The test matrix is given in

Table 3-1.

Table 3-1. Eglin steel material characterization test matrix. Strain Rate Manufacturing Loading Specimen Shape/ Number of Process Configuration Pulse Shaper Specimens Quasi- Forged Tension Round 4 Static Pin Loaded 2 Compression Round 4 Cast and HIPd Tension Round 4 Pin Loaded 2 Compression Round 4 Cast Tension Round 4 Pin Loaded 3 Compression Round 4 High-Strain Forged Compression None 3 Rate Pulse Shaper 2 Kinematic Forged Cyclic Round 1 Cast Cyclic Round 1 Cast and HIPd Cyclic Round 1

3.1 Hardness of Eglin Steel

Following the microstructure characterization of the initial condition of the

ES-1 materials (see Chapter 2), a Buehler Digital Hardness Tester MMT-3 with a pyramidal indenter in Figure 3-1 was used to measure the Vickers hardness of each sample at the AFRL Dynamic Properties Laboratory, Advanced Weapons

Effects Facility (AWEF).

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Figure 3-1. Buehler Digital Hardness Tester MMT-3. The material resistance to plastic deformation, HV, was determined with the following equation (Smith and Sandland, 1922)::

F HV  , (3-1) d 2 where F is the applied force and d is the average length of the diagonal of the material indent.

Each sample was tested three times across the cross section of the specimen at distances greater than 2.5 times the diagonal of the indentation from the outer surface and previous indentations. The forged, cast, and cast and

HIP’d specimens had an average Vickers hardness of 529.2, 499.5, 501.7 kgf/mm2 (or 5189.68, 4920.00, and 4898.42 MPa), respectively. The Vickers

64 hardness measurements converted to Rockwell Hardness are approximately

51.1, 49.1, and 49.1.

3.2 Quasi-Static Mechanical Characterization

An Instron Model 1332 mechanical test frame and an Instron Model 3156-

115 load cell at the AWEF presented in Figure 3-2 were used for both quasi- static tension and compression testing.

B A

C

Figure 3-2. AWEF quasi-static experimental characterization setup A) Instron test frame with load cell, B) pin-connected tension specimen prepared for loading and C) compression specimen prepared for loading.

Prior to each quasi-static test, the test specimen was cleaned with acetone to remove oils and debris and painted in a high contrast, stochastic pattern using Rustoleum black and white flat enamel spray paints to create unique facets on the surface of the entire gage length of the test specimens.

65

Two Point Gray high-speed cameras with 5 megapixel sensors and 75mm fixed focal length Fuginon lenses, stationary fiber optic illuminators, and a digital delay generator were used to record synchronized images every four seconds.

Analysis of the recorded images using digital image correlation (DIC) commercial software, ARAMIS v6.2, reveals the location of each facet in three dimensional space and the local, full-field strain on the surface of the gage length of the test specimen throughout the test. The tests were conducted under crosshead displacement control at a rate of 푢̇ = 0.0127 푚푚/푠 and the load (F) was recorded every 4 seconds using a 14bit Win600 Digital Oscilloscope.

Assuming plastic incompressibility, the true strain and true stress are

l   ln  l 0 (3-2) Fl   Al00 where l is the current length, l0 is the initial length, and A0 is the initial cross- sectional area.,

3.2.1 Characterization of ES-1 under Uniaxial Compression

At the AWEF, compression tests were conducted in accordance with

ASTM E9 using standard cylindrical specimens of dimensions shown in

Figure 3-3 with lubricant on each face to minimize radial forces at an average strain rate of   0.000333 s-1. Each test was repeated four times.

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7.62 mm

7.62 mm

Figure 3-3. Quasi -static cylindrical compression test specimens. Note the consistency in the stress-strain response displayed in Figure 3-4 for all three ES-1 materials.

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A

B

C

Figure 3-4. Quasi-static round bar compression test stress-strain results A) forged specimens, B) cast and HIP’d specimens, and C) cast specimens.

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As expected based on the microstructural analysis, the stress-strain behavior of the cast and cast and HIP’d materials in uniaxial compression are similar, and the forged material is the strongest (where the stress-stain curves for the three ES-1 materials are superposed in Figure 3-5). For example, at 13% strain, the average compressive stress for the forged material is 2063 MPa, compared to 1937 MPa and 1961 MPa for the cast and cast and HIPd materials, respectively.

Figure 3-5. Comparison of the quasi-static compressive stress-strain response for the ES-1 materials.

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For each ES-1 material, in accordance with ASTM E9, the yield point, the beginning of nonlinear stress-strain behavior was determined consistently using

0.2% strain offset. The yield stress σy of each material are given in Table 3-2.

Table 3-2. Yield stress and quasi-static compression test data. Manufacturing Process Specimen σy (MPa) Forged X29978 1616 X29979 1366 X29980 1503 X29981 1496 Cast and HIP’d X29876 1448 X29877 1340 X29878 1189 X29879 1336 Cast X29928 1395 X29929 1403 X29930 1345 X29931 1340

From the stress-strain curves, both Swift (see Eq. (1-17)) and Voce hardening laws (see Eq. (1-18)) were identified (see also Figure 3-6). The numerical values of the parameters involved in each law are given in Table 3-3.

Table 3-3. Coefficients involved in Swift and Voce Hardening Laws for ES-1. Manufacturing Process k n Av Bv Cv (MPa) (MPa) (MPa) Forged 2436 0.0708 2044 504.5 63.33 Cast and HIPd 2465 0.0921 1934 556.4 66.20 Cast 2349 0.0777 1934 548.5 67.48

Note that hardening under compression of each ES-1 material is best characterized using Swift law.

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Figure 3-6. Hardening of ES-1 under compression according to Swift and Voce A) forged ES-1, B) cast and HIP’d, and C) cast ES-1.

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3.2.2 Quasi-static Characterization of ES-1 in Uniaxial Tension

At the AWEF, quasi-static, uniaxial tension tests were conducted in accordance with ASTM E8 standard using standard dog bone specimens illustrated in Figure 3-7 at an average strain rate of   0.000365 s-1. For each

ES-1 material, the yield stress σy,, the stress at which necking is observed σu, and the strain-to-necking (STN) are reported in Table 3-4.

31.75 mm

6.35 mm

25.4 mm 6.35 mm

Figure 3-7. Schematic of the quasi-static round tensile test specimen. Table 3-4. Summary of quasi-static tension test data. Manufacturing Process Specimen σy σu STN (MPa) (MPa) Forged X29938 1601 1835 0.050 X29939 1640 1829 0.052 X29940 1456 1841 0.050 X29941 1465 1838 0.054 Y08613 1535 1782 0.041 Y08614 1506 1758 0.043 Cast and HIP’d X29836 1483 1733 0.047 X29837 1455 1710 0.044 X29838 1411 1736 0.049 X29839 1431 1726 0.049 ES1_C_H1 1425 1646 0.036 ES1_C_H2 1481 1681 0.052 Cast X29888 1428 1711 0.062 X29889 1456 1716 0.074 X29890 1447 1741 0.093 X29891 1450 1722 0.035 ES1_C_1 1400 1644 0.030 ES1_C_2 1390 1652 0.021 ES1_C_3 1407 1649 0.027

As for uniaxial compression loadings, the forged ES-1 exhibits higher yield stress than the other ES-1 materials, the increase factor being of 1.1, the uniaxial tensile response of the cast and cast and HIP ES-1 materials being similar (see also Figure 3-8). The Swift and Voce hardening laws were also

72 identified based on the uniaxial tensile results. The numerical values of the respective coefficients are reported in Table 3-5 and capture fairly well the stress-strain curve until the onset of necking for all three manufacturing procedures (Figure 3-8). Furthermore, the initial tensile yield stress of the forged, cast, and cast and HIP’d ES-1 under uniaxial tensile loading corresponds to the stress documented by Boyce and Dilmore (2009), Dilmore and Ruhlman (2009),

Van Aken et al. (2014), and Lynch (2011) at similar quasi-static strain rates. The

STF of the materials produced by the three manufacturing processes: forged, cast and HIP’d, and cast were 5.15 %, 4.75 %, and 7.77%, respectively, similar to that reported by other authors including van Aken et al. and Lynch. However, the STF reported by Boyce and Dilmore was much higher than that of any of the manufacturing processes examined in this study possibly due to additional heat treatment processing.

Table 3-5. Hardening law parameters tensile round specimens. Manufacturing Process k n Av Bv Cv (MPa) (MPa) (MPa) Forged 2272 0.0621 1836 307.1 110.5 Cast and HIPd 2171 0.0655 1722 303.5 139.1 Cast 2106 0.0578 1717 268.0 137.3

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Figure 3-8. Stress strain curves for ES-1 quasi-static tension test results of forged, cast and HIP’d, and cast no HIP specimens. The fracture surfaces of the round tensile test specimens are generally the typical cup and cone displayed in Figure 3-9 similar to the ES-1 fracture surfaces observed by Boyce and Dilmore (2009). The cross section of the fractured specimens remained circular, further evidence of the isotropy of ES-1 irrespective of manufacturing process.

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Figure 3-9. Fracture surface of the round specimens following tensile tests A) forged, B) cast and HIPd, and C) cast.

Several recent studies have demonstrated that ductility measurements are inversely proportional to maximum cluster pore volume and pore fraction at fracture (Susan et al., 2015, Foley et al., 2016). Consistent with these findings, note the large porous regions in the cast ES-1 fracture surface and the lack thereof in the cast and HIP’d ES-1 material.

The purpose of completing quasi-static tension and compression tests was to establish the symmetry properties of ES-1. Like other BCT martensitic steels discussed in Section 1.2, Eglin steel demonstrates higher flow stress in uniaxial compression as compared to tension. Furthermore, the tension- compression asymmetry evolves with the equivalent plastic strain. At initial yielding, the tension-compression asymmetry is not pronounced but, the asymmetry becomes significant at the ultimate stress. It is important to note that the tension-compression asymmetry is reported only in the range of equivalent plastic strain where the deformation in the flat tensile specimen is homogeneous

(i.e. before necking). The tension-compression asymmetry ratio, t/c for several values of equivalent plastic strain is reported in Table 3-6. The cast specimens

75 did not reach a plastic strain of 4% therefore the tension-compression asymmetry ratio was not calculated or reported.

Table 3-6. Tension-compression asymmetry ratio of ES-1 by plastic strain. Manufacturing Process/Plastic Strain 0.2% 2% 4% Forged 1.0169 0.9249 0.8924 Cast and HIPd 1.0936 0.9375 0.8859 Cast 1.0205 0.9015 N/A

The asymmetry ratio of ES-1 at 4% strain is similar to the strength ratio of

 SAE 4340 T  0.90 and other martensitic steels reported by Leslie and Sober  C

(1967).

3.2.3 Influence of Specimen Geometry on the Mechanical Response in Uniaxial Tension

In order to study the influence of the geometry of the specimen on the mechanical response in uniaxial tension, tension tests were also carried out using quarter scale standard flat pin-loaded specimens shown in Figure 3-10.

50.8 mm 0.156 mm 14.29 mm

3.175 mm 3.175 mm

12.7 mm 12.7 mm 12.7 mm

Figure 3-10. Schematic of the quasi-static (flat) pin-loaded tensile test specimen. Figure 3-11 allows a comparison between the stress-strain response of cylindrical specimens and flat pin-loaded specimens for each type of processing.

It is worth noting that, as predicted, the stress-strain response prior to strain localization was similar for both specimen geometries: round and flat. Though, the STF of the flat specimens was about half that of the round specimens. It is hypothesized that the decrease in STF is at least partially a result of the subscale

76 specimens containing relatively larger flaws. The hardening law parameters are presented in Table 3-7.

Table 3-7. Hardening law parameters flat tension specimens. Manufacturing Process k n Av Bv Cv (MPa) (MPa) (MPa) Forged 2157 0.06 1774 260.2 113.6 Cast and HIPd 1983 0.0491 1664 205.8 125.9 Cast 2210 0.0707 1653 423.8 290.1

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Figure 3-11. Quasi-static tension characterization stress-strain response A) forged, B) cast and HIP’d, and C) cast no HIP specimens.

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Although the linear variable differential transformer (LVDT) can provide strain measurements, DIC measurement was used to monitor the evolution of the local strain. To gain understanding of the plastic deformation of the ES-1, two cameras were disposed to monitor, independently, the evolution of the strain in the gage length. The first camera shown in Figure 3-12 associated with 2- dimensional DIC measurements captured the evolution of strain occurring in the face of the specimen, i.e. the width strain (width) and axial strain (axial), while the second camera monitored the evolution of strain occurring in the side of the specimen, i.e. the thickness strain (thickness) and axial strain (axial). Both cameras were synchronized using a delay generator to capture images at the same time and hence the same axial displacement.

Figure 3-12. Camera layout to capture 2-D measurements of the strain evolution on the face and the side of the flat specimens during quasi-static tensile testing. Lankford coefficients, also known as r-values, are a measure of the thinning resistance of a sheet or plate during forming and are given as the ratio of

 width to thickness strain rate r  width .  thickness

Taking advantage of the experimental setup that allows the independent monitoring of the evolution of the width strain and the thickness strain presented

79 in Figure 3-13, there is no need to adopt the usual hypothesis of plastic incompressibility. Using a linear regression, the Lankford coefficient of one was obtained using direct measurements of the width and thickness strain rates meaning that the material is indeed isotropic.

With an understanding of the quasi-static behavior of ES-1, dynamic

SHPB compression tests were conducted to determine the rate-sensitivity as discussed in the ensuing section.

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Figure 3-13. Width and thickness strain of flat specimens under uniaxial tension A) forged, B) cast and HIP’d, and C) cast no HIP specimens.

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3.3 Dynamic Experimental Characterization of Eglin Steel

The Split Hopkinson Pressure Bar (SHPB) or Kolsky bar is a test apparatus for material characterization at high strain rates on the order of 103 s-1 since it was developed by Kolsky (1949). A diagram of a Kolsky bar included in

Figure 3-14 shows the striker bar, incident bar, and transmitted bar aligned in series.

Figure 3-14. Schematic SHPB with an illustration of the propagating strain waves. In the operation of a SHPB, the striker bar is put into motion to impact the incident bar creating a compressive strain wave composed of a spectrum of frequencies which backward propagates the length of the striker bar and forward propagates the incident bar. Within the striker bar, the compressive wave is reflected at the free end creating a tensile wave forward propagating back though the length of the striker bar (Ls). Upon the arrival of the tensile wave at the impact face of the striker bar, the striker bar is pulled away from the incident bar concluding the compressive wave in the incident bar with a final wavelength of

2Ls/C0 where C0 is the longitudinal wave speed in the striker bar. When the compressive wave impinges upon the specimen, the strain wave is both reflected and transmitted at both interfaces creating a tensile reflected pulse that backward propagates the incident bar and a diminished compressive wave that continues 82 forward propagation through the transmitted bar. Strain gages are adhered to the surface of both the incident and transmitted bars to collect engineering strain at a distance xi and xt, respectively, from the specimen throughout the dynamic compression test. The placement of the strain gages is critical to eliminate edged effects and avoid undesirable interaction of the reflected waves at the strain gage locations. One dimensional wave theory is generally used in the analysis of a SHPB to determine the average, uniaxial stress and strain within the cylindrical test specimen throughout the test. Using the free body diagram of a section of length dx of the incident or transmitted bar under stress shown in

Figure 3-15, the equation of motion becomes:

 2u A    A   Adx2 (3-3) xt

Where

ρ is the density of the incident and transmitted bars,

u is the longitudinal displacement of particles within the bars, and

A is the cross sectional area of the incident and transmitted bars.

Figure 3-15. A free body diagram of a portion of the SHPB of length dx and cross sectional area A. Simplifying and assuming (1) both the incident and transmitted bars are not plastically deformed (i.e. Hooke’s law is applicable) and (2) the bars are long enough to assume uniaxial strain, the one-dimensional wave equation introduced by Jean le Rond d’Alembert is: 83

22uEu  (3-4) tx22 where E is the Young’s modulus of the bars.

E By introducing the longitudinal wave speed, defined as C  the 0  general solution to the differential equation is:

u f x  C00 t  g x C t (3-5) for displacement forward (f) and backward (g) propagating waves. For the forward propagating incident and transmitted waves and the backward propagating reflected wave, the displacement at the interfaces of the specimen

(u1 and u2) can be calculated:

t u  Cdt  10  ir 0 (3-6) t u C dt 20 t 0

Where

εi is the strain measured as the incident wave initially passes the strain gage on the incident bar,

εt is the strain measured in the transmitted bar, and

εr is the strain measured on the incident bar after the wave has reflected at the specimen interface.

Notice the data are time-shifted, such that the strain can be integrated from time, t=0. Remember that the strain gages are positioned xi and xt away from the specimen interface creating a voltage time graph like the one shown in

Figure 3-16. The physical interpretation is that the incident strain is measured

84 first when the incident wave reaches the first strain gage before it ever reaches the first specimen interface. It is assumed that the incident strain wave does not change before it reaches the first specimen interface. Therefore, it is forward propagated to the first interface with the specimen simply by adding the time it takes for the wave to propagate the distance from the incident strain gage to the

xi first specimen interface, incident time ti  . After the incident stain is C0 measured and the wave propagates to the first specimen interface, the amplitude of the incident wave is then transmitted and reflected at both interfaces of the specimen. The portion that is transmitted through the specimen, propagates down the transmitted bar until it reaches the transmitted strain gage. Therefore,

xt the transmitted time tt  is subtracted from the time associated with the C0 transmitted wave. Finally, the portion of the wave that was reflected at the interfaces with the specimen is then measured when it returns to the incident strain gage. Therefore, incident time, is subtracted from the time associated with the reflected wave measurement. Finally, the new time, which should coincide with the time that each wave was interacting with the specimen interfaces is reset at 푡 = 0. This model ignores any changes in the wave as it propagates between the incident strain gage and the first specimen interface and between the second interface and the transmitted strain gage and neglects the time the wave travels within the relatively short test specimen and is only an accurate assumption if the

SHPB has been designed to minimize dispersion, distortion of the wave as it propagates the SHPB system due to phase speeds of the frequency components

85 of the composite strain wave, to a negligible amount. Distortion is minimized when the wave length is much larger than the SHPB diameter as explained by

Davies (1948).

86

Figure 3-16. Raw data from the dynamic SHPB characterization A) forged, B) cast and HIP’d, and C) cast specimens.

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The average strain (εs) in the specimen of length (L) is calculated based on the displacement of the two interfaces.

uu C t   21   0 dt (3-7) si r t   LL0

Assuming a planar impact at both specimen interfaces, the stress at each interface can be calculated using Hooke’s Law and the total strain at each

interface12 i   rt;    . The specimen free body diagram is shown in Figure

3-17.

EA    ir 1 A s (3-8) EAt  2  As

Where As is the cross sectional area of the specimen.

The average stress within the specimen can be estimated based on the stress at each of the specimen interfaces.

12 EAirt     s  (3-9) 22As

Figure 3-17. The SHPB test specimen subjected to forces at the incident and transmitted bar interfaces. The materials lab at the University of Florida (UF) Research and

Engineering Education Facility (REEF) contains a SHPB made of three 0.75-in diameter Vascomax-300 steel bars aligned in series: striker bar, incident bar, and

88 transmitted bar, on a rigid optical table shown in Figure 3-19. Vascomax-300 has a Young’s modulus of 190 GPa and a density of 8,000 kg/m3.

Figure 3-18. UF REEF test equipment for dynamic SHPB characterizations A) HDO 8058 500 MHz high-definition oscilloscope, B) amplifier, and C) SHPB.

3.3.1 Dynamic Stress Strain Response of ES-1 under Uniaxial Compression

The incident, transmitted, and reflected strain measurements collected at

500 MHz during the SHPB tests of forged, cast and HIP’d, and cast specimens with a length and diameter of 5.08 mm are included in Figure 3-19 A, B, and C, respectively, to provide insight into the duration and dispersion of the strain waves.

89

Figure 3-19. Strain waves at the incident and transmitted strain gages A) forged, B) cast and HIP’d, and (C) cast specimen.

90

The stress-strain response of ES-1 under dynamic, compressive loading is shown in Figure 3-20. The forged material demonstrates slightly higher flow stress than the cast and HIP’d and cast no HIP materials and thus lower plastic strain as the same kinetic energy (i.e. mass and impact velocity of the striker bar) was introduced into the system for each test.

Figure 3-20. Stress strain response of forged, cast and HIP’d, and cast no HIP ES-1 during SHPB tests. The deformed length of the post-test specimens was used to validate the one-dimensional analysis. A photograph of the forged ES-1 cylindrical test specimen initially and with 16% plastic strain following a SHPB dynamic compression test included in Figure 3-21 proves the one-dimensional analysis was accurate in the SHPB at the UF REEF. Additionally, to correct the wave form for dispersion (Gong et al., 1990), a Fourier transform was used to

91 transform the data into the frequency domain, a variation of phase velocity using the Pochhammer-Chree (Pochhammer, 1876 and Chree, 1889) solution was introduced, and finally a reverse Fourier transform back to the time domain was completed to confirm the UF REEF SHPB system permits very little dispersion.

Figure 3-21. Forged Eglin steel cylindrical SHPB test specimens A) before and B) after dynamic compression test.

Figure 3-22, the stress-strain response of the forged, cast and HIP’d, and cast no HIP materials, permits comparison of the quasi-static and dynamic behavior of Eglin steel.

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Figure 3-22. Comparison of quasi-static and dynamic stress-strain response A) forged, B) cast and HIP’d, and C) cast no HIP ES-1.

93

Because of the difficulty in determining flow stress for small percentages of plastic strain (Sharpe and Hoge, 1972, and Yadav et al., 1995) and to eliminate the inertial effects in the dynamic stress-strain curves, the quasi-static and dynamic flow stresses were compared for strains greater than 4% to determine the forged dynamic flow stress is on average 1.10 times the quasi- static stress for the same values of strain; the cast and HIP’d is 1.14; and the cast no HIP is 1.12. These dynamic increase factors are nearly equal to the dynamic increase factor of 1.18 reported by Johnson and Cook (1983) following testing of SAE 4340. So, the dynamic increase factor can be used to solve the dynamic portion of the isotropic Johnson Cook presented previously in Section

1.2.

Where the material constants, presented in Table 3-8, are similar to those presented by Dilmore (2009) after characterizing the behavior of ES-1 at various strain rates using a servohydraulic system with custom built load cells.

Table 3-8. Johnson and Cook material constants for forged, cast, and cast and HIP’d ES-1. Manufacturing Process A (MPa) B (MPa) n C

Forged 1430 1142 0.2525 0.0124 Cast and HIP’d 1414 1184 0.2344 0.0065 Cast 1445 1149 0.2406 0.0069

Referring back to the literature, the initial yield stress of AF-1410, AISI

4340 and ES-1 observed by Last (1996) is presented in Figure 3-23 along with the cast ES-1 experimental results. The initial yield stress of ES-1 reported by

Last corresponds well with the cast ES-1.

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Figure 3-23. Initial yield stress-strain-rate dependence of AF-1410, AISI 4340, and ES-1 observed by Last in comparison to the cast material. As shown in Figure 3-24, during the SHPB test, the strain rate increased rapidly to a maximum of over 1,500 s-1 and declined to about 500 s-1 with an average strain rate of approximately 700 s-1. To minimize the inertial effects, forged ES-1 specimens were tested in a SHPB with a pulse shaper adhered to the leading end of the incident bar as discussed in the following Section, 3.3.2.

95

Figure 3-24. Strain rate in forged, cast and HIP’d, and cast no HIP ES-1 during SHPB tests. 3.3.2 Dynamic Characterization of ES-1 at Constant Strain Rates

Without a pulse shaper, the strain rate in the test specimens increased rapidly when the incident wave impinged the specimen and decayed exponentially throughout the duration of the incident wave. Therefore, pulse shapers, pieces of material placed on the leading end of the incident bar using lubricant, were used to absorb the initial impact energy and induce an approximately constant strain rate in the test specimen. The design of the pulse shaper is critical to obtaining nearly constant strain rates and dynamic equilibrium. Frew et al. (2005) present analytical models and experimental data that demonstrate a broad range of incident pulses and can be obtained by varying the design of the pulse shaper. For the Eglin steel specimens, two different pulse shapers were designed to test at strain rates of approximately 500 s-1 and 2,000 s-1. The 500 s-1 pulse shaper was made from an 1/8-in thick,

96 annular piece of 4130 steel with four 0.012-in thick circular pieces of annealed copper equally spaced around the center as shown in Figure 3-25A. The 2,000 s-1 pulse shaper was made from a 1/8-in thick, annular ring of 4130 steel, a

0.012-in thick annular ring of annealed copper and a circle of 0.01-in thick Teflon as shown in Figure 3-25B.

Figure 3-25. Dynamic pulse shapers made of copper, steel, and Teflon A) 500 /s and (B) 2000 /s.

In order to obtain similar plastic deformation despite the energy absorbed in the pulse shaper, the SHPB test was designed with an increased pressure of

55 psi and a 2-ft striker bar. Three SHPB tests were conducted on the forged specimens using the pulse shapers: two at 500 s-1 and one at 2000 s-1. Notice

97 the more constant strain-rate behavior of the 500 s-1 pulse shaper presented in

Figure 3-26.

Figure 3-26. Strain rate of forged test specimens without a pulse shaper, with the first pulse shaper, and with the second pulse shaper. The stress-strain response of forged ES-1 under constant strain rates of

500 s-1 and 2000 s-1 obtained using the pulse shapers are presented alongside the forged ES-1 tested in the SHPB without a pulse shaper in Figure 3-27. The flow stress of the forged material tested at the highest strain rate 2000 s-1 is proportionately greater than at 500 s-1 and 700 s-1.

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Figure 3-27. Stress strain curves of forged specimens without a pulse shaper, with the first pulse shaper design and the second pulse shaper design. 3.4 Cyclic Experimental Characterization of ES-1

Additional 25.4-mm long, round specimens were tested under cyclic loading with an MTS 25-ton capacity test frame and load cell in the materials lab at the UF REEF. The load frame, high-speed camera, and associated equipment are shown in Figure 3-28.

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Figure 3-28. UF REEF materials lab for cyclic characterization of ES-1 A) test frame and load cell, B) high-speed camera, and C) installed specimen.

Prior to testing, the specimens were cleaned with acetone and marked with a vertical line for alignment of the high-speed camera and targets evenly spaced at 1 mm to track local displacement with the high-speed cameras. The specimens were subjected to uniaxial tension followed by uniaxial compression under completely reversed crosshead displacement control at a frequency of 0.1

Hz. The multi-test approach described in STP-465 was initialized with 0.2% strain amplitude for 50 cycles to reach stability. Next, the strain amplitude was 100 then increased by 0.2% for each subsequent iteration. Images of the gage length of the test specimen illuminated by a stationary LED array were recorded using an Allied high-speed camera and 25 mm lens. The nested hysteresis loops at various values of maximum plastic strain of the forged, cast, and cast and HIP’d ES-1 materials are included in Figure 3-29.

Figure 3-29. Hysteresis loops of ES-1 under completely reversed displacement A) forged, B) cast and HIP’d, and C) cast.

The absolute uniaxial flow stresses in tension and compression at the extremes of the elastic range under tensile plastic strain and compressive plastic strain of forged ES-1 calculated using the maximum values or 0.1% offset as required are presented in Figure 3-30. A large variability in flow stress was observed depending on the method used to determine the flow stress (i.e. proportionality limit or percent offsets between 0.01 and 0.2%). Nevertheless, note the Bauschinger effect, softening in compression under tensile strain and vice versa.

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Figure 3-30. Uniaxial absolute flow stress of ES-1 at the limits of the elastic region under cyclic loading by plastic strain. The loci of the maximum values of stress and strain from all the stable hysteresis loops together form the kinematic stress-strain response of forged ES-

1. The kinematic stress-strain response is shown in Figure 3-31 alongside the quasi-static response for comparison. Referring back to the literature, many materials including martensitic steels undergo kinematic softening under cyclic loading as demonstrated by a comparison of the quasi-static and kinematic stress-strain curves presented by Landgraf (1970) included in Chapter 1 of this dissertation. However, the kinematic softening of forged, cast and cast and

HIP’d ES-1 is small for the range of true strain, contrasting the extreme softening of SAE 4340 at initial yielding.

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Figure 3-31. Monotonic and kinematic stress-strain curves of Eglin steel A) forged, B) cast and HIP’d, and C) cast no HIP.

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3.5 Summary of the Experimental Characterization of ES-1

The experimental characterization of Eglin steel revealed the forged material flow stress was higher than the cast and cast and HIPd materials by a factor of 1.1 irrespective of the sign of the loading and strain rate. The flow stress of each material under quasi-static conditions was accurately described using Swift hardening law. Additionally, the material regardless of manufacturing route exhibited isotropy with comparable width and thickness strain rates within the flat tension test specimens (r=1). The SHPB tests divulged a slight strain- rate dependence well characterized by the Johnson Cook (1983) constitutive model. Two characteristics were discovered during the cyclic testing: (1) Eglin steel softens under repeated load reversals, and (2) the material exhibits a pronounced Bauschinger effect. These material characteristics and associated material parameters were used to develop the theoretical elastic-plastic model presented in Chapter 4 of this dissertation.

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CHAPTER 4 ELASTIC-PLASTIC MODEL FOR EGLIN STEEL

The main features revealed by the experimental data are used to develop an appropriate theoretical model valid for general 3D loadings. As UHSS and

ES-1 steels have a well-defined yield point as seen in the stress-strain response under uniaxial loading (see Chapter 3). To describe both ineslastic behavior and the rate effects revealed by the SHPB tests and data, viscoplasticity theory was used to model ES-1. In such theory, an appropriate yield criterion and hardening law need to be defined.

FYσσ,,0ppp          (4-1)

As already mentioned, in the six dimensional stress space, the yield criterion defines a surface such that for any state interior to it, the material behavior is elastic. After initial yielding, the self-similar expansion of the subsequent yield surfaces is usually considered to be governed by the equivalent plastic strain. In this dissertation, isotropic hardening includes not just expansion of the yield surface, but also distortion of the yield surface that preserves the isotropic nature of the deformation. Rate effects can be introduced by either considering an overstress approach or by considering that hardening is rate- dependent. This latter approach is used.

4.1 Development of the Yield Criterion for ES-1

Several yield criteria and associated effective stresses have been proposed in the literature (see Section 1.4), of which, most used are von Mises

(1913) and Drucker (1949), respectively.

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  3J2 1  JcJ326  23 (4-2) where 퐽2 and 퐽3 are the second and third invariants of the deviatoric stress, s.

The deviatoric stress is the stress tensor less the hydrostatic stress tensor. The second and third invariants of the deviatoric stress are the coefficients of the first and zeroth order terms of the characteristic equation of the deviatoric stress

eigenvalue problem expressible in terms of the principal stress (123,,  ),

principal deviatoric stress ( sss123,,), the Cauchy stress components

11,,,,,  22  33  12  23  13  , or the deviatoric stress tensor components

s11,,,,, s 22 s 33 s 12 s 23 s 13  . The invariants are so named because their expression is the same irrespective of the coordinate system. Let us recall that, in terms of

principal stresses 1,,  2  3  :

1 2 2 2 J 2 1   2   2   3   3   1  6 . (4-3)

While for general loadings, the expression is:

112 2 22 2 2 J2 11  22  33   11 22  22 33  11 33   12  23  13  (4-4) 33

Likewise, the third invariant of the deviatoric stress is:

23 3 3 1 2 2 2 4 J3 123     123213312        123 (4-5) 27 9 9

23 3 3 1 2 2 2 4 J3 11  22  33   11 22  33  22 11  33  33 11  22   11 22 33 27 9 9  2 22 12  2 23 2  13    2 2 311 22 33 3 11 22 33 3 11 22 33 12 23 13 (4-6)

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Because von Mises (1913) and Drucker (1949) are functions of the deviatoric stress invariants, martensitic steel material properties of pressure insensitivity and isotropy are easily captured with these yield criteria. However, these yield criteria are even functions of stress and therefore cannot capture the experimentally observed tension-compression asymmetry. In the experimental characterization, ES-1 exhibits higher yield stress in compression than tension for a wide range of plastic strain. Therefore, a yield criterion that accounts for the tension-compression asymmetry such as Cazacu and Barlat (2004) yield criterion was used to describe the elastic-plastic behavior of the ES-1 steel alloys.

Similarly to Drucker (1949), this yield criterion is expressed as a function of the invariants of the stress deviator, but contrary to the Drucker (1949) (see Eq.

(4-2)) which is an even function, the Cazacu and Barlat (2004) model is an odd function of stresses. The effective stress associated with this yield function is:

1 3 3 2 J23  cJ  Y (4-7) 

where c is an asymmetry parameter and  Y is the shear yield stress. In Cazacu and Barlat (2004) it was shown that c can be expressed using the flow stresses in tension (T) and compression (C) as:

33 33TC  c  (4-8) 33 2TC 

The main feature of the Cazacu and Barlat (2004) criterion is that it is an odd function, which allows describing the tension-compression asymmetry using the third invariant of the deviatoric stress. In the principal stress space, the

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Cazacu and Barlat (2004) yield surface is an infinite cylinder with generator, the hydrostatic axis. In the deviatoric plane, normal to the hydrostatic axis, the cross section of the yield surface is a rounded “triangle” for a nonzero asymmetry parameter c  0 or a circle for c  0 .

In this research a different method for determining this parameter and the evolution of yield surfaces is proposed. Before discussing these aspects, the flow rule and application of the criterion to description of the torsional response is presented.

4.1.1 Associated Flow Rule

Drucker (1951) used the non-negative increment of plastic work to prove normality (see Figure 4-1A).

P dσ : dε  0 (4-9)

At the limiting case when the increment of stress is tangent to the yield surface, the increment of plastic strain must be normal to the yield surface (i.e. the increment of plastic work is zero).

The material being isotropic, it is sufficient to describe the plastic flow in the coordinate system associated with the principal values of stress. The flow rule for Cazacu and Barlat (2004) is:

P FFJ2 J3 i  (4-10) JJ23 ii  

1 3 2 J2 J3 Jc2  FFJ J 2  2 3 ii (4-11) JJ    2 23ii3 3 2 3J23 cJ 

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Let us recall that in 1951 Drucker proved that the work from a cycle of loading and unloading between an arbitrary elastic stress and stress resulting in an increment of plastic strain is positive only if the entire yield surface is on one side of the hypertangent plane at the point of plastic stress.

σ σ* dεP 0 . (4-12)

Figure 4-1. Illustration of properties of yield surfaces with an associated flow rule A) normality and B) convexity.

The condition of positive work is satisfied at every point for a convex instantaneous yield surface (see Figure 4-1B). For the entire yield surface to remain convex the Hessian must be positive semi-definite for any fixed value of hardening. The Hessian is positive semi-definite if the three eigenvalues at all points of the yield surface are all non-negative.

222 2 FF J2  J3 H 220 (4-13) JJ23 i   j    i   j

The local maximums of the convex yield surface in the deviatoric plane occur along both the tensile and compressive meridians (projections of the positive and negative principal stress half-axes, respectively, in the deviatoric

109 plane) where the determinant of the Hessian, and therefore an eigenvalue, are both zero. Consequently, the Hessian is positive semi-definite if both the sum and the product of the remaining, conjugate eigenvalues are positive (i.e. the first and second invariants of the Hessian are both positive).

For the Cazacu and Barlat (2004) yield criterion, it is important that convexity of the yield function be reinforced to find the acceptable range of the asymmetry parameter.

11  33 JJJ    J J222 2 J 2 c 3 22 42i   j   i   j   i   j H  2 3 3 2 3J23 cJ  . (4-14) 3311JJJJ 2 J2222 c33 J c 22 22i   i   j   j  5 3 3 2 9J23 cJ 

It can be easily seen that:

J2  sij (4-15)  ij

2  J2 1 ik  kl  ij  kl , (4-16) ij kl 3 and that:

J3 2 sik s kj J2 ij (4-17) ij 3

2  J3 2 iks jl   jl s ik   ij s kl   kl s ij  . (4-18) ij kl 3

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In Cazacu and Barlat (2004), it was shown that the convexity requirement

3 3 3 3 results in an acceptable range of the asymmetry parameter c  , . 44

4.1.2 Unusual Behavior in Torsion Revealed by Cazacu and Barlat (2004) Criterion

The Swift effect, put into evidence by Swift (1947), is the axial deformation of a thin-walled cylinder during monotonic free-end torsion. This phenomenon was previously attributed to anisotropy and/or its evolution. In 2013, Cazacu et al. (2013) gave a different explanation. It was put into evidence that there is a correlation between a material asymmetry and Swift effects. A theoretical analysis was done using the CBP-06 yield criterion which accounts for tension- compression asymmetry using the parameters, k and a.

a a a  s1 ks 1  s 2  ks 2  s 3  ks 3   F (4-19)

Revil et al. (2014) conducted a finite element analysis using an elastic- plastic model based on the anisotropic form of CBP-06 and described the behavior of thin-walled cylinders of OFHC copper, high-purity α-titanium, and

AZ31-Mg alloy under torsion. It was confirmed that axial elongation occurs in materials with a tension to compression flow stress ratio greater than one, and contraction of materials with a ratio less than one.

In this work, analysis of the same problem is done using the Cazacu and

Barlat (2004) yield criterion. Let the applied loading be given by:

00  σ   00. (4-20)  000

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Hence its deviator is:

 00  s 00 . (4-21)  000

Under this state of stress, the second invariant of the deviatoric stress is equal to the shear stress and the third invariant is zero.

1 2 2 22 Js21 s 2  s 3    2 (4-22)

J3 s 1 s 2 s 3 0

Substituting these values in the associated flow rule, we obtain:

3 c  00 1  3 ∂J ∂J 23 Jc2 2  3  ∂F 2 dc 3 dεP dd 2 ∂σ ∂σ 00   (4-23) ∂σ 2123 1 3 33 3 2 3 3 2c   3 3 2c  J23 cJ 2c 00  3

Note that according to Eq. (4-23), if the asymmetry parameter, c, is zero, then pure shear deformation occurs (i.e. no axial deformation). If the asymmetry parameter is negative the cylinder will elongate, where if c is greater than zero, it will contract. A numerical solution using finite element analysis will also be presented in the next chapter.

4.2 Asymmetric Hardening

As already mentioned, based on the classical definition, isotropic hardening is modeled, typically, by a function of equivalent plastic strain parameterized using the quasi-static uniaxial tensile characterization. The subsequent yield surface, symmetric about the origin, therefore enlarges to pass through the subsequent, uniaxial tensile flow stress. Therefore, a similar

112 increment of hardening is added to each point on the yield surface. The initial yield surface and two subsequent yield surfaces using classical isotropic hardening for forged ES-1 are presented in Figure 4-2.

Figure 4-2. Cazacu and Barlat initial and two subsequent yield surfaces using classical isotropic hardening of forged ES-1 in the deviatoric plane. In this research a new description of isotropic hardening is proposed.

Here, it is hypothesized that isotropic hardening is a result of both a change in size and shape of subsequent yield surfaces that does not destroy the isotropy.

In this research, the deformation of the subsequent yield surface is described using the asymmetry parameter as a function of the second and third invariants of plastic strain; and the enlargement is described using the hardening under pure shear strain. With the evolution of asymmetry of the yield surface dependent on the second and third invariants of plastic strain, the subsequent

113 yield surfaces vary based on the strain path. For example, the subsequent yield surface following uniaxial tension may be different from the subsequent yield surface following uniaxial compression.

For quasi-static monotonic loading, hardening is generally considered to be a function of plastic strain though some models do include other variables like fading strain history and other internal variables. However, for a plastically incompressible, isotropic material, the hardening can be described using both the second and third invariants of the total plastic strain, just as the yield surface in

Haigh-Westergaard space is defined by the second and third invariants of the deviatoric stress (i.e. the hardening is a function of the second order plastic strain tensor that can be completely described using both non-zero invariants). The strain invariants, similar to the deviatoric stress invariants, are the coefficients of the first and zeroth order terms of the eigenvalue problem in strain expressible as

a function of the components of the strain tensor 11,,,,,  22  33  12  23  13  or the

principal strains 1,,  2  3  . As a result of plastic incompressibility, the plastic strain is deviatoric, that is the first invariant of plastic strain is identically zero (i.e.

 J1 1   2   3  0 ).

 112 2 2 2 2 2 2 2 2 J2 1   2   3   11   22   33   12   23   13  (4-24) 22

 J3  1  2  3 (4-25) 1 3 3 3 2 2 2 11  22  33   12 11  22   23 22  33   13 11  3  2  12 23 13 3

In the above equations, both expressions in terms of strain and principal values are given. Upon further examination, the second invariant of plastic strain

114 is non-negative while the third invariant of plastic strain has the negative sign function of the intermediate plastic strain, appropriate for the sign-sensitive

Bauschinger effect. Additionally, the second and third invariants of plastic strain are suitable for describing asymmetric isotropic hardening because they are constant in the elastic regime and continuous in the elastic-plastic.

4.2.1 New Description of Hardening

With a broader definition of isotropic hardening to include distortion of the yield surface that does not annihilate the material isotropy, it is necessary to examine the evolution of the yield surface under different load and strain paths.

Note that the evolution of tension-compression asymmetry can be directly observed under reversed loading or inferred from the increment of plastic strain in torsion testing of thin-walled cylinders using the associated flow rule. In particular, the evolution of the asymmetry of ES-1 was evaluated using the cyclic test data presented in Section 3.4.

For such cyclic loading, first ES-1 material was subject to tensile strain and presumably uniaxial tensile stress, i.e.:

T 00  σ  0 0 0 (4-26)  0 0 0

2 00 3  1 s 00 . (4-27) 3 T  1 00 3

Under this state of stress, the second and third invariants are:

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2 1 222T Js21 s 2  s 3   23 . (4-28) 2 3 J s s s T 3 1 2 3 27

Whereas the strain is:

 1 00  1 ε 00 (4-29) 2 T 1 00 2

2  1 2223T J2 1  2  3   24. (4-30)  3 J     T 3 1 2 3 4

Initial yielding was observed as the specimen started to deform plastically.

At maximum displacement (0.57 mm), the flow stress was recorded and the motion was reversed relieving the uniaxial tensile stress and then creating a state of uniaxial compressive stress in the elongated specimen (assuming no bending or buckling within the specimen gage length). In this stage of the test,

 C 00  σ  0 0 0 (4-31)  0 0 0 and its deviator is:

2  00 3  1 s  00 (4-32) 3 C  1 00 3

116 while the second and third invariants are:

2 1 222 C Js21 s 2  s 3   23 . (4-33) 2 3 J s  s s C 3 1 2 3 27

Still under compressive stress, the specimen was returned to its initial

 configuration JJ230 and subject to compressive strain. Again, yielding was observed as the specimen began to plastically deform, this time in compression. The process was repeated 50 times in accordance with standard test procedures.

 1 0 0  1 ε  00 (4-34) 2 C 1 00 2

2  1 2223C J2 1  2  3   24 (4-35)  3 J       C 3 1 2 3 4

To minimize the kinematic softening of the cyclic response, the first cycle at each value of plastic strain of the cyclic test data of forged ES-1 in Figure 4-3 was used to find the limits of the elastic region after two load reversals between uniaxial tension and compression.

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P

σT(εT )

P

σT(εC )

P

σC(εT )

P

σC(εC )

Figure 4-3. The first stress-strain cycle of forged ES-1 during cyclic testing at completely reversed displacement of 0.57, 0.62 and 0.67 mm and the uniaxial tensile and compressive flow stress. The offset, between zero (i.e. the proportionality limit) and 0.2% (the

ASTM standard), used to determine yielding following the load reversal greatly affected the calculation of the flow stress and thus the evolution of asymmetry.

Still, the maximum absolute stress and 0.1% offset were used to determine the limits of the elastic region in Figure 4-4.

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Figure 4-4. Flow stress at the limits of the elastic region by plastic strain in forged ES-1 under cyclic loading. As shown in Figure 4-4, the limits of the elastic region are increasingly asymmetric with accumulation of plastic strain, a phenomenon known as the

Bauschinger effect. In kinematic hardening models, the asymmetry is commonly modeled as a translation of the yield surface due to a fictitious back stress. The back stress according to the most common kinematic hardening models presented in Chapter 1 are functions of the increment of plastic strain tensor.

Therefore, under uniaxial tension, the back stress is also uniaxial. The uniaxial back stress at various levels of plastic strain is shown in Figure 4-5.

11 33 3 3 2cc TC  3 3  2    11 (4-36) 3 3 2cc33  3 3  2 

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Figure 4-5. The uniaxial back stress as a function of plastic strain for forged ES- 1 under cyclic loading. An example of the translation of the yield surface using a kinematic hardening law is presented alongside the classical isotropic hardening surface and the asymmetric hardening surface for comparison in Figure 4-6. This shows that there are two major disadvantages to these kinematic hardening laws. First, the back stress is non-zero even after unloading (i.e. after all stresses have been removed from the material). Secondly, a large disparity between the monotonic and kinematic yield surfaces especially pronounced along the third compressive meridian is evident upon initial loading (Figure 4-6). Additionally, there are also limitations to the kinematic hardening models. The translation destroys the isotropy, which is inappropriate for materials that remain isotropic even after such loadings.

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Figure 4-6. Subsequent yield surfaces using classical isotropic, redefined isotropic, and kinematic hardening under uniaxial tensile loading. Another possible explanation for increasingly asymmetric flow stresses at the limits of the elastic region under cyclic loading is that the evolution of asymmetry depends on the strain tensor or some component thereof not just the equivalent plastic strain. This possibility is attractive because a separate kinematic hardening may no longer be required to model load reversals, the yield surface remains symmetric about zero stress for isotropic materials, and the new hardening law allows description of tension-compression asymmetry. To further explore this idea, the asymmetry parameter was calculated assuming that the yield surface did not translate. The evolution of the asymmetry parameter, c, 121 which was calculated at each level of plastic strain using Eq. (4-8), is included in

Figure 4-7.

Figure 4-7. Evolution of the material asymmetry parameter, c, for forged ES-1 using the limits of the elastic region under cyclic loading. An innovative evolution law was proposed to describe the data. Namely, the evolution of c was modeled assuming that it depends on the third invariant of plastic strain. It was approximated:

 J3 cc 0 tanh . (4-37) c1

where the parameters of ES-1 are c0 1.7 and c1  0.002 . Note the asymmetry parameter approaches c0 as the third invariant approaches infinity, and negative c0 as it approaches negative infinity. The uniaxial flow stresses and superposed corresponding yield surface evolution in the deviatoric plane for several values of plastic strain are included in Figure 4-8. Note that under tensile (compressive) plastic strain the yield surface hardens near the tensile (compressive) meridians and softens near the compressive (tensile) meridians. Also notice that only

122 dependence of c on the third invariant of plastic strain was considered, but the effects of the second invariant of plastic strain could also be of interest.

Additionally, it is worth mentioning that the elastic-plastic model with asymmetric isotropic hardening results in stabilizing hysteresis loops under cyclic loadings.

This is in contrast with the classical isotropic hardening which cannot reproduce such effects.

Figure 4-8. Uniaxial flow stress at the limits of the elastic region and yield surfaces in the deviatoric plane for several values of plastic strain in forged ES-1 under cyclic loading. It is worth noting the difficulties associated with correct estimate of the evolution of yield surfaces based on cyclic tests. For example, Paul (1968) discusses three acceptable methods of determining the yield stress: Lode extrapolation method, plastic strain offset, and the proportionality limit technique.

The method used for identifying the yield stress may create large differences in the values of the asymmetry parameter, c, and, therefore, on the evolution of the yield surface. Hence, it is proposed to obtain the evolution of c using pure shear

123 deformation data as described in the next section. However, the approach used so far may be more realistic in modeling cyclic data through kinematic hardening.

4.2.2 Distortional Hardening with Asymmetry

The idea for the different method for determining the asymmetry parameter sprang from the necessity to model the Bauschinger effect frequently associated with kinematic hardening. However, the concept can be used to better model monotonic loading as well. Since the asymmetry parameter is dependent on the second and third invariants of plastic strain, the subsequent yield surfaces will differ under monotonic uniaxial tension, monotonic uniaxial compression, and pure shear strain as shown in Figure 4-9. These three different experimental characterizations can be used to parameterize the yield function with asymmetric hardening.

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Figure 4-9. Cazacu and Barlat subsequent yield surface in the deviatoric plane following uniaxial tension, compression, or pure shear strain. Let us recall that under monotonic pure shear strain, when the third invariant of plastic strain is equal to zero, ultra high-strength steels strain harden according to a power-type law as a function of shear strain (which, in this case, is equal to the second invariant of plastic strain). Thus in general, the evolution of the uniaxial yield stress and that of the uniaxial compressive yield stress can be described:

    TTTTJJJJ2, 3   0   2 2   3 3  , (4-38)     CCCCJJJJ2, 3   0   2 2   3 3 

125

  Where T JJ23,  and  C JJ23,  are the tensile and compressive flow stresses

following uniaxial tensile and compressive stress, T 0 and C0 are the initial

  tensile and compressive yield stresses, T 22J  and C22J  are the components of tensile and compressive hardening resulting from the second the

  invariant of plastic strain, and T 33J  and C33J  are the components of tensile and compressive hardening resulting from the third invariant of plastic strain, respectively.

Similarly, for the remainder of the yield surface, the total hardening is a combination of hardening as a function of the second and third invariants of plastic strain. The decomposed elastic regions resulting from monotonic uniaxial tensile loading are shown in Figure 4-10 alongside the subsequent yield surface.

The initial and subsequent yield surfaces are depicted together to illustrate the material softening for regions of the yield surface near the compressive meridians. The components are discussed in the following sections. s (MPa) s z s T 3 T s T 2 s T 0

 JJ'32   JJ'22 

s C 2  T 3  s y (MPa) ε ε J Component of the J Component of the Initial Yield Surface 2 3 Subsequent Yield Surface Yield Surface Yield Surface

Figure 4-10. Decomposition of the yield surface with distortional hardening A) initial yield surface, B) second invariant component of the subsequent yield surface, C) third invariant component of the subsequent yield surface, and D) the total subsequent yield surface.

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 4.2.2.1 J 2 -component of the hardening law

As seen in Figure 4-10, the second invariant of total plastic strain is associated primarily with a growth of the subsequent yield surface in Haigh-

Westergaard space and can be fully understood by a single fixed-end torsion test or another test under pure shear strain for example using a butterfly specimen.

 Based on the symmetry of the second invariant of total plastic strain, the J 2 - component of the subsequent yield surface is the same under uniaxial tensile and compressive loading as shown in Figure 4-11. The uniaxial tensile and compressive hardening, however, need not be equal (i.e. the model allows for evolution of asymmetry under pure shear strain). For example, UHSS with material tendency toward greater strength in compression than tension based on the BCT microstructure, also results in a slight change in shape of the subsequent yield surface (i.e. the increment of hardening associated with the second invariant of plastic strain is somewhat greater along the compressive meridians than the tensile meridians). This evolution of asymmetry with accumulated plastic strain is a material property, c2, that can also be determined from a single pure shear strain test using the associated flow rule. The parameterization of the material asymmetry parameter, c2, and then the hardening, Y, are discussed in the next subsection.

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Figure 4-11. Cazacu and Barlat yield surface under both uniaxial tension and compression and the common component.

4.2.2.1.1 Material asymmetry parameter

 It is assumed that pure shear deformation J3  0 can be produced by a combination of shear and axial loading. There are six points on the yield surface such that the strain increment is parallel to a shear axes and perpendicular to a meridian as shown in Figure 4-12.

128

τ31 f3 ε s J2 Component of theT 2

Yield Surface

)

a P τ P  M 12 J ' e JJ'32

( 2 ( t )  

z s f f 1 2 τ23 s C 2 s (MPa) y

Figure 4-12. Initial and subsequent Cazacu and Barlat yield surface under pure shear strain.

 Using the point on the yield surface in the 3-plane where  0 , the  3 strain, invariants of strain, state of stress, deviatoric stress, and the deviatoric stress invariants are presented below.

0 0   0 0      ε 0  0   0 0  (4-39)     0 0 0   0 0 0 

1 J         22 1 2 3 (4-40)  J3 1  2  3 0

0  σ   00 (4-41)  0 0 0

129

2  2 00 64 2  s 00   2 (4-42) 64  00 3 

2 1 2 2 22  Js'21 s 2  s 3    23 (4-43) 232  J'  s s s  3 1 2 3 27 3

The (‘) indicates the second and third invariants of deviatoric stress under pure shear deformation.

Under pure shear deformation in the 3-plane under the described loading, the evolution of asymmetry as a function of shear strain is calculated based on the associated flow rule for the instantaneous yield surface where the through plane strain is zero.

130

1   22 2 2 3 2  22    Jc'2         2 6  418 3 4 3     2 1 3 3 2 3J '23 cJ '  1   22 2 2 3 2  22    Jc'2         2 6  418 3 4 3    (4-44)  2 2 3 3 2 3J '23 cJ '  1 22 2  2  Jc'2   2 9 3   0  2 3 3 3 2 3J '23 cJ ' 

Solving the third partial derivative for the material asymmetry parameter, c2:

 2 9 2 c  3 2 2622   . (4-45)

Using the Cazacu and Barlat (2004) yield criterion, uniaxial tensile and compressive flow stresses following pure shear deformation as a function of the second invariant of plastic strain are on the same subsequent yield surface with the shear flow stress. Thus, the hardening of the uniaxial tensile and compressive flow stresses following pure shear strain are:

131

1 3 3 1 232 3    2  3 3 2 c  3J '2  c J '  2   2 2 3 327  3       TTT2 J 200   11 33 3 3 23cc22 3 2   (4-46) 1 3 3 1 232 3    2  3 3 2 c  3J '2  c J '  2   2 2 3 327  3       CCC2 J 200   11 33 3 3 23cc22 3 2  

4.2.2.1.2 Hardening under pure shear strain

The hardening law that relates the yield surface in the six dimensional stress and strain spaces describes the six points of pure shear deformation (i.e.

 J3  0 ) common to all subsequent yield surfaces of the material.

11 33 33   22 J2 cJ 3    J' 2  cJ ' 3   0 (4-47)    

Note that the asymmetry parameter is not the material asymmetry parameter, c2, but the asymmetry parameter as a function of the second and third invariants of plastic strain defined in the following section. Equation (4-47) means that all possible subsequent yield surfaces for any given value of

 equivalent plastic strain, intersect at the six points where J3  0 (Figure 4-9).

Distortional hardening under general three-dimensional loads will result in the same hardening behavior of the six points of pure shear deformation, but the effective stress and plastic strain increments will vary. It is more conventional to express the hardening as the shear stress in pure shear strain as a function of the equivalent plastic strain.

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P n Y  k   (4-48)

In order to express the hardening as a function of equivalent plastic strain, the axial stress is expressed as a function of the material asymmetry parameter and the shear stress using Eq. (4-45). The fourth order polynomial is:

2 4 2 2 2 2 4 4ccc222 27   48  81 144 0 (4-49)

By solving the quadratic equation, the following equation is obtained:

22 3 27 16cc22  9 3 32 27 22  (4-50) 2 4c2  27  2 

It is convenient to use the axial-shear stress ratio, r, defined:

1 222  3 27 16cc22  9 3 32  27 r  (4-51)  2 4c2  27  2 

The effective stress under pure shear strain can then be expressed as a function of the axial-shear stress ratio.

1 1 3 3 3  3 12 2 1 2 23    J'23 cJ '  r  1   c  r  r   (4-52) 3   27 3  

Finally, substituting the effective stress in pure shear strain into Eq. (4-47) and expressing the hardening as a shear strain power law, the yield function is:

1 3 3 2 J23 cJ  P n 1 k   0 (4-53) 3 3 2 123   2 1  r1   c  r  r  3   27 3  

133

The equivalent plastic strain is usually defined by using the work equivalency principle based on the assumption that an equal amount of work is required to harden the material to the same subsequent yield surface regardless of the stress and plastic strain tensors. Since this proposed distortional model results in a different subsequent yield surface for each state of plastic strain, consistency lies in the six points of shear hardening. Therefore, the equivalent plastic strain for monotonic loading is based only on the second invariant of strain similar to the von Mises equivalent plastic strain. Recall, however, that even this von Mises expression of equivalent plastic strain is only valid under monotonic loading. Difficulty arises during strain reversals when the magnitude of total plastic strain and, necessarily, the second invariant of plastic strain are reduced because the flow stress at the point of loading should never decrease. The hardening being based on the idea that compressive strain results in compressive strain hardening and tensile strain produces tensile strain hardening.

Nonetheless, based on monotonic loading, the equivalent plastic strain is dependent on the second invariant. For this research, the scalar plastic strain is described for monotonic loading as the square root of the second invariant of plastic strain, similar to von Mises equivalent plastic strain.

P    J2 P 1   1  J ε (4-54) J  2 2 PP2 2  2 J2

134

It is necessary that the increment of equivalent plastic strain be non- negative. Therefore, the product of the absolute values of the derivative of equivalent plastic strain and the increment of plastic strain are used in Eq. (4-56).

d P  0 (4-55)

εP dd PP ε (4-56)  2 J 2

Now, with the six points of shear strain and the material asymmetry, the

 J3 -component of hardening and the Bauschinger effect will be discussed in the subsequent section.

 4.2.2.2 J3 -component of the hardening law

The third invariant of plastic strain then is responsible for both the

Bauschinger effect under reversed loading and the increasing asymmetry in the yield surface under combined tension torsion loading determined using the associated flow rule as shown in Figure 4-13. Since there is not a state of strain with a nonzero 3rd invariant of plastic strain and a zero second invariant of plastic

 strain, the other J3 -dependent component can be identified by subtracting the first component from the total elastic region with a known contribution of the second and third invariant of plastic strain. For simplicity, uniaxial tension and uniaxial compression tests can be used to parameterize the asymmetry parameter for positive and negative 3rd invariants of plastic strain, respectively.

135

s T 3

)

a

P

M

(

z s

s (MPa) y

Figure 4-13. Cazacu and Barlat initial and third invariant component of the subsequent yield surfaces using asymmetric isotropic hardening under uniaxial tensile loading in the deviatoric plane.

 Notice the J3 -component of the subsequent yield surface under uniaxial tensile loading in Figure 4-13 shows hardening near the tensile meridians and softening near the compressive meridians, the Bauschinger effect. Furthermore, the surface remains isotropic, centered at the origin and maintaining three-fold symmetry about the projections of the principal axes.

Next, to parameterize the evolution of asymmetry under axial strains, the component of the uniaxial tensile flow stress associated with the third total plastic strain invariant is determined by linear decomposition.

P TTTT3JJ 3      2 2   0 (4-57) P CCCC3JJ 3      2 2   0

136

Note that the tensile flow stress is characterized for both positive and negative values of the third invariant of plastic strain using the uniaxial compression test data. Now, the asymmetry parameter is determined as a function of the uniaxial tensile flow stress which is a function of the second and third invariants of total plastic strain.

3 3 2 23 2 3 3 9  2 3 3 27J '2  3 3T   T c 32 2 3 (4-58) 27J '3  22TT  9  2 

4.3 Implementation of the Distortional Hardening Model

For illustrative purposes, ES-1 was first modeled using the Cazacu and

Barlat (2004) yield criterion with conventional isotropic hardening and then, for comparison, using the von Mises yield criterion with the proposed distortional hardening model.

It was assumed that ES-1 was a Cazacu and Barlat (2004) material at the outset of this research. Therefore, using the flow stress of Eglin steel in tension and compression, the material constant (c) was determined at several values of plastic strain to characterize the progression of the tension-compression asymmetry. The evolution of the material parameter, c, with the accumulated plastic strain is shown in Figure 4-14.

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Figure 4-14. Cazacu and Barlat material parameter, c, by plastic strain for forged specimens, cast and HIP’d specimens and cast specimens. The yield surface was plotted in the deviatoric (y-z) plane using the constant, c, and the normalized stress in uniaxial tension as shown in Figure

4-15.

138

Figure 4-15. Cazacu and Barlat yield surfaces in the deviatoric plane (A) forged, (B) cast and HIP’d, and (C) cast no HIP specimens.

139

If only dependence of  P is considered, variation of c can be approximated as:

c ABCln PP (4-59) where the constants A, B, and C were determined using the experimental data and are presented in Table 4-1.

Table 4-1. Cazacu and Barlat yield criterion parameters. Coefficients Mises Cazacu Constant Linear Cazacu Log Cazacu A 0.0 0.000 0.000 -0.166 B 0.0 0.000 -13.170 0.000 C 0.0 -0.226 0.047 -0.966 A 0.0 0.000 0.000 -0.269 B 0.0 0.000 -21.220 0.000 C 0.0 -0.124 0.315 -1.318 A 0.0 0.000 0.000 -0.208 B 0.0 0.000 -13.60 0.000 C 0.0 -0.161 0.183 -1.216

In order to more accurately determine the value of c at much higher values of local plastic strain, the linear interpolation procedure was used (see Table

4-2).

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Table 4-2. Points for linear interpolation of the Cazacu and Barlat asymmetry parameter, c. Equivalent Plastic Strain Forged Cast and HIP’d Cast no HIP 0.00 -0.2120 0.0000 -0.0682 0.02 -0.3119 -0.2079 -0.1335 0.04 -0.3387 -0.3152 -0.1511 0.06 -0.3548 -0.3792 -0.1617 0.08 -0.3663 -0.4250 -0.1693 0.10 -0.3753 -0.4605 -0.1752 0.12 -0.3827 -0.4895 -0.1800 0.14 -0.3889 -0.5140 -0.1842 0.16 -0.3944 -0.5352 -0.1877 0.18 -0.3992 -0.5538 -0.1909 0.20 -0.4034 -0.5705 -0.1934 0.22 -0.4073 -0.5855 -0.1963 0.24 -0.4109 -0.5992 -0.1986 0.26 -0.4141 -0.6118 -0.2008 0.28 -0.4171 -0.6234 -0.2028 0.30 -0.4199 -0.6342 -0.2046 0.32 -0.4226 -0.6443 -0.2064 0.34 -0.4240 -0.6538 -0.2080 0.36 -0.4274 -0.6627 -0.2095 0.38 -0.4296 -0.6711 -0.2110 0.40 -0.4317 -0.6791 -0.2124

This distortional hardening model in conjunction with a von Mises yield criterion reveals very interesting trends. Recall that the initial yield surface for a

Mises material is circular in the deviatoric plane. Under pure shear deformation as in a fixed-end torsion test, the proposed hardening model predicts that the circle will grow in size, but retain the same circular shape as shown in Figure

 4-16. However, under axial loading J3  0 , the yield surface would begin to take the form of a rounded triangle. Under tension, the surface would have maximum curvature at the intersection of the three tensile meridians and reach a minimum curvature at the intersection with the compressive meridians.

Conversely, under compression, the surface would reach maximum curvature at the intersection with the three compressive meridians and reach a minimum curvature at the intersection with the tensile meridians.

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Figure 4-16. Cazacu and Barlat yield surface in the deviatoric plane under uniaxial tension, uniaxial compression, and pure shear using distortional hardening. Furthermore, for a von Mises material with such distortional hardening, the evolution of asymmetry is independent of the second invariant of plastic strain

c2  0 . Therefore the yield function reduces to the familiar form.

1 3 3 2 J23  cJ  Y (4-60)  where c is an odd function of the third invariant of plastic strain. For this model, the asymmetry parameter was approximated again using the hyperbolic tangent

142 function from the cyclic characterization and power law hardening in pure shear strain.

J  c 1.7 tanh 3 (4-61) 0.002

4.4 Implications of the Proposed Distortional Hardening Model

While the idea for this new model for hardening came from the need to better account for the Bauschinger effect, induced tension-compression asymmetry, and how it affects the intrinsic asymmetry due to the structure of the material, the new model has broader applicability. Let us point to its advantages.

First, as three different monotonic stress-strain curves are used to parameterize the subsequent yield surfaces, the model is accurate under monotonic uniaxial tension, uniaxial compression, and shear strain. Second, the model captures the trend of induced tension-compression asymmetry under reversed loading often seen in dynamic or cyclic applications or the effect of pre-strained components.

Third, the model predicts the direction of the plastic flow under general three- dimensional loads.

Expressly under dynamic conditions, reversals of three-dimensional loadings are possible as waves propagate through the material. With accuracy in uniaxial tension, uniaxial compression, and pure shear plastic strain under monotonic loading as well as capturing the trend of softening under reversed loading, it may be possible to provide the most accurate predictions under three- dimensional, dynamic conditions using this relatively simple yield function.

This model provides new insights and paths to be taken for further understanding of asymmetric hardening. Much more research is required to

143 understand the effects of strain rate, temperature, and orthotropy on the evolving yield surface. Additionally, more research is required to glean more predictive capability from the model. For example, is the extent of asymmetry predictive of aging, spring-back, strain localization, or failure?

Creep and high strain-rate tension tests could reveal the rate-sensitivity of each component of the asymmetric hardening laws.

Finally, while this research concerns isotropic behavior, the applicability of this new hardening model to anisotropic materials is a promising research path.

The theoretical yield function parameterized using experimental data was then implemented in a numerical solution in a user material subroutine within

ABAQUS implicit. The finite element analysis is discussed in Chapter 5.

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CHAPTER 5 FINITE ELEMENT ANALYSIS OF EGLIN STEEL

The capabilities of the model developed for Eglin steel to capture the mechanical behavior for general loadings will be assessed. To solve boundary- value problems for plastically deformable materials, generally the finite element framework is used. Therefore, first a brief overview of this framework including the strong and weak form of the balance of linear momentum and finite element discretization is presented along with the user material subroutine (UMAT) containing a time-integration algorithm used for implementing the model in commercial FEA software (ABAQUS, 2009). Next, finite element simulations of the mechanical response of the material for a variety of loading conditions for both quasi-static and dynamic loadings are presented. Comparison between simulation results and data attest to the adequacy of the formulation proposed.

Moreover, the model is used to gain insights into the behavior of ES-1 for loadings that are not accessible to direct experimentations. Such numerical tests are useful to engineers in the field who need to assess the behavior of the material for combined loadings involving shear.

5.1 Finite Element Formulation

The implicit solver of the commercial software ABAQUS (see ABAQUS,

2009) was used in the finite element analysis. Let Φ X ,t define the motion of a deformable material from the reference to the current configuration. This software uses an updated Lagrangian formulation, that is Φ ,t+ t at the increment n+1 corresponding to the instant t+ t is calculated based on Φ ,t at

145 the increment n at the instant t by imposing the velocity field. Thus, the

F  Φ deformation gradient, X , is:

tt X i Fij  t , (5-1) X j and all the dependent variables i.e. the Cauchy stress σ , the velocity, v, and the strain-rate tensor D are expressed as functions of the material coordinates X.

Let  be the domain occupied by the plastically-deformable material with the boundary  at time t. For isothermal processes, the governing equations include the balance of linear momentum and the constitutive equations relating the stress to the rate of deformation or strain-rate, D. Boundary conditions, such

as tractions T on t and velocity v on v , with   tv   , are associated with the governing equations. The strong form consists of the balance of the linear momentum presented here with zero body forces and traction boundary conditions:

divσa   on 

σTT n  on  (5-2)

Where  is the current density, and a is the acceleration (the second derivative with respect to time of the displacement vector, au= ). The above equations depend only on the velocity field v, because the stresses can be expressed in terms of velocities by the constitutive model. The exact solution to this set of differential equations is difficult, if not impossible, to calculate. Hence, to approximate the solution by discretization of the domain into finite elements with n nodes, the strong form is multiplied by a vector-valued weighting function (v )

146 that is zero on the boundary v and then integrated over the volume. Note that since stress is symmetric:

σσD::v  

1 where D= vv   T  , the weak form can be written as: 2

a  vdvd  : T vdA    . (5-3) 

An admissible trial solution for the element velocity  v e  is differentiable

and satisfies the boundary conditions (i.e. ve  v on ). The acceleration ae is given by the time derivative of the trial function.

n vek XX,t v k  N   t , (5-4) k 1

n aek XX,t a k  N   t , (5-5) k1

where N()k X denote the shape functions having the desired level of continuity

such that ve is admissible. Using the Galerkin method, the weighting function has the same form as the trial solution with the additional restrictionv = 0 on

.

n vXX   Nkk  v t (5-6) k1

The rate of deformation is the symmetric part of the spatial velocity gradient (i.e. derivatives are taken with respect to the spatial coordinate x and not X):

147

n 1 D =v N v N . ijIie I, j Ij I,i k1 2

Substituting the weighting and trial functions back into the weak form, the equation of motion is assembled into a global system of equations,

 Na dN  dN  dAσT:0      (5-7)  I e eI eI e eee

Or in matrix form:

extint M [a]= ff    (5-8)

In the above equation the matrix M is defined as

MN N  IJI J e , (5-9) while fext  N T dA and fdint   N Ω . For more information on finite I I e k  k e et et element analysis the reader is referred to the textbook by Belytschko et al.

(2013).

Moreover, it is important to note that in ABAQUS, all stresses and strains are rotated by R, the proper-orthogonal rotation corresponding to the polar decomposition of the gradient of deformation (i.e. F = RU = VR) with the right stretch tensor (U) and left stretch tensor (V) being symmetric and positive-definite tensors before the UMAT is called.

ABAQUS uses of the Green-Naghdi rate (Green and Naghdi, 1965) which is objective (frame invariant) and has the remarkable property that it reduces to a time derivative in the rotated coordinate system. Thus, in ABAQUS, the finite- deformation formulation of any elastic-plastic model has the same form as the

148 small deformation formulation because D reduces to ε in the rotated frame. For proofs on the unified treatment of finite-deformation and small-deformation theories, the reader is referred to Hughes (1984).

Without a UMAT, an elastic-plastic model using the von Mises (1913) yield criterion is used to solve the global system of equations in ABAQUS implicit. The

UMAT described in the following section was developed to implement the viscoplastic model with the Cazacu and Barlat (2004) yield criterion and the proposed distortional hardening model in the finite element analyses.

5.2 Implementation of the Elastic-Plastic Model in FEA

Recall in this research, the yield function is expressed as the difference between the effective stress (a function of the Cauchy stress and the plastic strain) and the hardening (a function of the plastic strain).

FYσ,, εPPP   σ ε  ε  (5-10)

The total plastic strain increment is commonly expressed as a summation of the plastic strain increment and the elastic strain increment using Hooke’s law.

P e P e 1           C :   (5-11)

Equations (5-10) and (5-11) are combined and solved using the iterative

Newton-Raphson numerical root-finding algorithm in the UMAT.

FYσ, εPPP σ   σ , ε  ε  0   n1 n  1  n n  1 n  1  n  1   1 (5-12) ε  CeP:0  σ   ε   n1 n  1 n  1

At each increment of time 0 through n, the above system of equations is solved using an iterative root finding algorithm called the Newton-Raphson method using a Taylor series expansion within the UMAT. 149

 FFσm,, εσ Pmm ε Pm m P mmPm  n1 nn  11 n  1 11  F σn1,:: εσε nnn  111  0 P   (5-13)  e11 m Pm e m11 Pm ε  C ::0   σ   ε  C  σ ε  nn11  nn  11  n  1

For the first iteration of the Newton-Raphson, the initial trial solution (m=0) is assumed to be completely elastic. Hence, the trial solution for the stress tensor is described by Hooke’s law and the plastic strain increment is zero.

triale σσnnn11 C  ε : (5-14)

If the yield function was not within the specified tolerance (usually 1 Pa),

m1 Pm1 the trial solution was updated (m+1) by a variation, σn1 and ε n1 .

Pm11    Pm   Pm n1 n  1 n  1 (5-15) m11 m m σn1 σ n  1 σ n  1

Recall that the increment of plastic strain is normal to the yield surface.

m 2 pm1 m  11FF m m εσn1  n  1    n  12 :  n  1 σσn1

Solving the system of equations for the variation in the stress:

mm FF1 σmm11 P m:: Ce  σ m     ε  F (5-16) nn11 n  1p  n  1 n  1 εσnn11

FF 1 PC e (5-17) σεp 

1 Pm11e m Pm (5-18) εn1  ε n  1  C:  σ n  1   ε n  1

This technique is better known as return mapping. Once the yield function is equal to zero within a specified criterion, 1 Pa, the process is repeated for the next time increment. The stress and plastic strain are updated until the

150 numerical analysis converges upon a solution at each increment of time. The

UMAT was used in the finite element analyses discussed in Section 5.3.

5.3 Finite Element Analysis of Ultra High Strength Martensitic Steel

First, verification of the implementation of the model using a right rectangular prism was completed. Next, all of the experimental loading scenarios were simulated and compared with the experimental data. Let us recall that the flat specimens were used to characterize the uniaxial tensile response for model identification. Validation of the model was performed by comparing the simulation results with data from tests on round specimens. In addition, the capabilities of the model to predict the shear response of ES-1 were investigated.

Finally, the model with a rate-dependent hardening rule was used to predict the behavior for dynamic conditions. A summary of all the finite element simulations is included in Table 5-1.

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Table 5-1. Finite element analysis simulation matrix. Strain Rate Manufacturing Loading Specimen Shape Process Configuration Quasi-Static Forged Tension Round Pin Loaded Prism Compression Round Torsion Thin Walled Cast and HIPd Tension Round Pin Loaded Compression Round Torsion Thin Walled Cast Tension Round Pin Loaded Compression Round Torsion Thin Walled Dynamic Forged SHPB Round Taylor Impact Round Cast and HIPd SHPB Round Taylor Impact Round Cast SHPB Round Taylor Impact Round

5.3.1 Verification of the FE Implementation

The finite element analysis of a right rectangular prism (1 mm x 1 mm x 2

mm, see Figure 5-1) composed of two linear hexahedral elements with reduced

integration (C3D8R) subject to uniaxial tension was used to verify the UMAT

development. Symmetry and displacement boundary conditions were

prescribed.

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Figure 5-1. Stress distribution according to the model within forged ES-1 under quasi-static uniaxial tension. Next, the axial force require to obtain the prescribed displacement was used to calculate the stress. It was then verified that this stress-strain response matches the input hardening law (Swift law) as well as the stress-strain curve obtained directly at the integration point of one element (see Figure 5-2) for comparison of the three curves. Note the implementation is correct with slight differences associated with elastic contributions.

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Figure 5-2. Stress and plastic strain for forged ES-1. 5.3.2 Comparison between Model Predictions and Experimental Results in Uniaxial Tension and Compression

The proposed model was further applied to simulate the plastic response of the flat tensile specimen (for the geometry of the specimens, see Chapter 3) and compared with the experimental observations acquired using DIC. The finite element mesh for the flat tensile specimens consisted of 2829 linear hexahedral element with reduced integration (C3D8R).

For each processing condition (i.e. forged, cast, and cast and HIP’d), the finite element predictions of the strain isocontours were compared to the DIC local strain maps obtained experimentally for the same axial displacement, the onset of necking.

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Figure 5-3. The longitudinal strain distribution from DIC and FEA forged specimens.

Figure 5-4. The longitudinal strain distribution from DIC and FEA cast and HIP’d specimens.

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Figure 5-5. The longitudinal strain distribution from DIC and FEA of cast specimens. Note that there is an overall agreement between model and data for all materials. Next, the predictions of the global behavior in uniaxial tension were compared to the experimental data for all materials. Note the excellent agreement in Figure 5-6.

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Figure 5-6. Stress-strain curves of flat DIC and FEA specimens in tensile loading A) forged, B) cast and HIP’d, and C) cast.

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Next, the finite element predictions were compared to data for each material under uniaxial compression. The finite element mesh of 3375 hexahedral elements is presented in Figure 5-7 and the specimen dimensions are included in Chapter 3. Note the excellent agreement obtained for all materials for this loading in Figure 5-8.

Figure 5-7. The uniform, longitudinal stress distribution within the forged round finite element specimens under quasi-static compressive loading A) cross section and B) side.

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Figure 5-8. Stress-strain curves of round DIC and FEA compression specimens A) forged, B) cast and HIP’d, and C) cast.

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5.3.3 Model Validation: Comparison with Uniaxial Tension in Axisymmetric Specimens

In order to further assess the predictive capabilities of the plasticity model, the model predictions have been compared to the uniaxial tension experiments performed on axisymmetric specimens. The geometry of the specimen is given in Chapter 3. Due to symmetry of the problem only an eighth of the specimen was modeled using 6400 hexahedral elements with reduced integration. The mesh was refined in the mid cross-section region as shown in Figure 1-11 in order to capture the localization of the deformation. Boundary conditions were applied such as to maintain the symmetry of the problem, and an axial displacement of 3mm was imposed at the extremity of the specimen.

For the (A) forged, (B) cast and HIP’d, and (C) cast specimen, the predicted load-displacement curves are compared with the experimental ones

(see Figure 5-9). It is worth mentioning the agreement between the model prediction and the experiments. Also, in Figure 5-9, it could be seen that numerical predictions considering a Swift law as an isotropic hardening law are more accurate than the one using a Voce hardening law. Furthermore, the discrepancies observed between the predicted load-displacement curve for the elastic domain are due to the fact that the experimental displacement has been acquired using the crosshead, i.e. the measured displacement encompass the compliance of the load frame.

To overcome this issue, the experimental displacement has also been accurately measured using the DIC technique. A virtual extensometer has been placed in the gauge length of the specimen to precisely record the axial strain. In

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Figure 5-10 is shown the comparison between the predicted stress-strain curve and the experimental one with the strain calculated using DIC measurements. It is worth noticing the very good agreement between the model prediction and the experiments for the three materials.

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Figure 5-9. The experimental and model load-displacement curves A) forged, B) cast and HIP’d, and C) cast materials.

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Figure 5-10. Stress-strain curves for round DIC and FEA tension specimens A) forged, B) cast and HIP’d, and C) cast.

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As an example, Figure 5-11 shows the predicted isocontour of the von

Mises stress for the forged ES-1 material at different axial displacements corresponding to the occurrence of plastic strain (axial plastic strain of 0.2%,

Figure 5-11 A), to the ultimate stress (axial plastic strain of 4%, Figure 5-11 B) and on the onset of failure (axial plastic strain of 9%, Figure 5-11 C). It is worth noting that the stress field is still homogenous for an axial plastic strain of 5%, while at the onset of fracture (10% axial plastic strain), it is predicted that stress localization and necking has occurred.

Figure 5-11. The von Mises stress distribution in the forged FEA specimen A) initial yielding, B) ultimate stress, and C) fracture.

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The predictive capabilities of the model have been assessed through comparison with experimental results under uniaxial compression and uniaxial tension with flat and axisymmetric specimens. In the following section, numerical simulations of more complex loadings will be performed.

5.3.4 Predictive Capabilities of the New Distortional Hardening Model: Finite Element Analysis using Cyclic Loadings

In order to illustrate the capability of the new hardening model for cyclic loading, cyclic tension-compression simulations have been performed. The specimen geometry is axisymmetric of diameter of 12.7 mm and height of 6.35 mm. Only one quarter of the specimen has been meshed with 3375 hexahedral elements. A cyclic compression-tension loading controlled in displacement has been applied to the specimen. The prescribed loading consists of an initial compression u0.1 mm of the specimen follow by four cycles of tension- compression loading u0.1 mm .

The predicted mechanical behavior under cyclic loading of the forged ES-

1 material is plotted in Figure 5-12. The absolute axial stress is plotted as a function of equivalent plastic strain. It is important to notice the capability of the new hardening model to capture the reduction in axial stress upon each load reversal. This is due to the fact that the new hardening model depends on the

 third invariant of plastic strain, J3 (see Chapter 4). For uniaxial tension loading,

  J3  0 , while for uniaxial compression loading, J3  0 .

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Figure 5-12. Evolution of the axial stress vs. equivalent plastic strain for tension- compression cyclic loading. 5.3.5 Predictive Capabilities: Finite Element Analysis of Free End Torsion

As discussed previously in Section 1.4, during monotonic free end torsion loading of thin-walled cylindrical specimens, the occurrence of axial plastic strain has been observed. It was demonstrated that the occurrence of these axial plastic strains are due to the tension-compression asymmetry displayed by the mechanical behavior of the material. In Chapter 4, it was deduced from the yield criterion that the increment of plastic deformation (in the principal axis) under free end torsion is:

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3 c  00 1  3 J J 23 Jc2 2  3  F2 d 3 c dεP  d  d 2  00   (5-19)  2 3 2 3 3 3 2  3J23 cJ 2c 00 3

According to Equation (5-19), the increment of thickness strain that

2c develops during free end torsion is proportional to . By symmetry and plastic 3 incompressibility, the axial strain is, therefore, directly related to the asymmetry parameter, c. If c is zero (no tension-compression asymmetry), then pure shear deformation occurs (i.e. no axial deformation). If the material has higher yielding strength in uniaxial tension than in uniaxial compression (c>0), the specimen walls thicken (positive thickness strain) and the length shortens (negative axial plastic strain). The reverse holds true for greater yield stress in uniaxial compression (c<0). For the ES-1 materials, irrespective of the processing, the mechanical material has greater flow stress in uniaxial compression than in uniaxial tension. Thus, it is expected that the specimen should elongate under free end torsion.

Numerical predictions for free end torsion loadings have been performed.

The geometry of the specimen is shown in Figure 5-13 and was meshed with

4522 hexahedral elements (see Figure 5-14). The nodes at the lower extremity of the specimen (y=0) were pinned, i.e., no displacement was allowed, while the upper nodes (y=58.4) were tied to a rigid tool to impose torsion while ensuring that all the upper nodes experienced the same boundary conditions. An angular

167 rotation of 0.3 radian was applied to the rigid tool, but the axial displacement was not constrained.

Figure 5-13. Geometry of the thin-walled specimen used for free-end torsion loading with dimensions expressed in millimeters.

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Figure 5-14. Isocontour of the predicted axial displacement that develops during free-end torsion loading of a forged ES-1 material: A) undeformed and B) with 0.05 radians of axial rotation and axial displacement.

Figure 5-14 shows the axial displacement field for a rotation of the rigid tool of 0.05 radian. For this angular displacement, an axial displacement of

0.047 mm is predicted. Therefore the specimen lengthened when subject to pure rotation, a phenomenon known as the Swift effect. In Figure 5-15 is shown the evolution of the axial strain with respect to the shear strain. The axial strain and shear strain are calculated using

u r  axial ln 1 and γ  L0 L0 where r is the current radius, L0 is the initial length of the specimen, u is the axial displacement, and  is the twist angle. Due to the fact that the yield stress in uniaxial compression is larger than the one in uniaxial tension, it is predict that the ES-1 materials will elongate.

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Figure 5-15. Longitudinal elongation by shear strain for forged quasi-static specimens under quasi-static torsion. 5.4 Comparison between the Model and Dynamic Characterization Data

In this section, the model developed previously will be applied to high strain-rate loading and impact testing. Using the dynamic implicit solver of

ABAQUS, the model predictions were compared with experimental data obtained with a SHPB apparatus and Taylor impact tests.

5.4.1 Comparison between Model and Dynamic Characterization Data

To characterize the dynamic behavior of the ES-1 materials, SHPB compressive experiments were performed and discussed in Section 3.3. In this section, the numerical prediction will be compare with the experimental results.

But, in this section, we will not compare the strain-stress curve obtained at high- strain rate, but the signals that were recorded by strain-gages located on the incident and transmitted bars. Therefore, the SHPB system was modeled in its entirety (i.e. the striker bar, the incident and transmitted bars as well as the specimen) and wave propagations through the bars were studied. The geometry of each component of the UF REEF SHPB system is presented in Chapter 3.

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Due to symmetry conditions, only one quarter of the bars were meshed. The total size of the mesh is 6942 elements. Close to the location of the strain-gages on the incident bar and the transmitted bars, the mesh is refined to obtain a fine wave propagation signal. Contacts are defined between each of the system components, and the specimen is initially in contact with the incident and transmitted bars (see Figure 5-16). The initial velocity of the striker bar is 14 m/s.

As the striker bar impacts the incident bar, an elastic wave is created and further propagates through the SHPB system and the cylindrical specimen of ES-1. It is worth noting that the bars are considered to only deform elastically, while the specimen is described by the developed elastic plastic model.

Figure 5-16. The finite element SHPB and an inset containing a close-up of an ES-1 specimen. The predicted strain waves, i.e. the incident, reflected and transmitted waves, are compared with the experimental ones (see Figure 5-17). Note the very good agreement between the experimental data and the predictions. The

171 evolution of the strain wave with time is correctly predicted by the model. The measured strain waves from the finite element simulation and the experiment were compared in Figure 5-17 to validate the rate dependent modeling of Eglin steel.

Figure 5-17. SHPB incident, transmitted, and reflected waves from forged specimen and FEA. 5.4.2 Model validation: Simulation of Taylor Impact Tests

To further validate the prediction of the developed model for high strain- rate, finite element simulations of Taylor impacts have been performed. The

Taylor impact test developed by Taylor (1948) consists of launching a solid cylindrical specimen at an elevated velocity of the order of 100 to 300 m/s against a stationary rigid anvil. When the specimen impacts the rigid stationary anvil an elastic compressive wave is generated at the impact interface and travels back and forth through the specimen. For a sufficiently high impact velocity, for which the magnitude of the compressive wave reaches the yield

172 stress of the material, the impact end undergoes plastic deformation. Therefore, the plastic front starts propagating from the impact interface. However, only a portion of the specimen deforms plastically.

Torres et al. (2009) completed ten Taylor impact tests of cylindrical ES-1 specimens. Torres et al. used the analyses of the deformed specimens developed by Jones et al. (1998). The initial diameter of the specimens was d0

=4.17 mm while its initial length was L0 = 31.317 mm. The impact velocities varied between 148 and 200 m/s. As already mentioned, when recovered, the length of the deformed Taylor impact specimens, Lf, is less than than its initial length, L0. Furthermore, the recovered specimen consists of a rear portion of length (lf) with a constant cross sectional area (A0), i.e. that has only deformed elastically, and a portion that has deformed plastically in which the cross-section

(A) gradually increases as shown in Figure 5-19. The analysis depends entirely upon three measurements of the deformed specimens: the cross sectional area at several locations along the length of the specimen, the length from the rear of the projectile to the corresponding cross sectional area (lf), and the total deformed length of the projectile (Lf). Using plastic incompressibility, the engineering plastic strain was calculated based on the variation of the cross- sectional area.

A e 0 1 (5-20) A

As shown in Figure 5-19, Torres et al. (2009) reported the location of the plane (lf/L0) of the cross section of the recovered specimen that was subjected to engineering plastic strain e={2, 3, 4, 5, ..12%}. For more details about the

173 analysis of the Taylor impact experiments, the reader is referred to Jones et al.

(1998).

FEA simulations using the developed model in conjunction with the implicit solver of ABAQUS have been performed for the ES-1 material at an impact velocity of 148 m/s. Due to the symmetry of the problem, only a quarter of the specimen was meshed with 38880 hexahedral elements. The mesh is refined in the impact zone to accurately capture the deformation of the impacted surface of the specimen. Boundary conditions were applied such as to maintain the symmetry of the problem. The simulations were performed in two steps, associated with the specimen launch and impact, respectively. In the first step, the impact velocity was applied to all of the nodes such as to represent the free flight or launch of the specimen. In the second step, the impact of the specimen with the rigid anvil was reproduced by imposing a null forward velocity only to the nodes belonging to the impact surface while the other nodes were not constrained anymore. In this manner, the test conditions were reproduced with fidelity. Furthermore, it is assumed that the impact ends when the axial velocity at the end of the specimen becomes null. Figure 5-18 presents the equivalent plastic strain isocontour in the Taylor impact specimen of forged ES-1.

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Figure 5-18. Equivalent plastic strain isocontour in the cylindrical Taylor impact specimen of forged ES-1.

The FEA predictions are in good agreement with the experimental data.

For an impact velocity of 148 m/s, the predicted normalized final length of the

Lf specimen is  0.954 , while the reported experimental data by Torres et al. L0

Lf (2009) is  0.957 . To directly compare experimental data and FEA L0 predictions, the axial location of the cross-section subjected to a plastic strain of

e  2.54,3.28,10.35% have been reported in the plane (lf/L0, Lf/L0) in Figure 5-19.

It is worth noting the good agreement between the model prediction and experiments.

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Figure 5-19. Linear relationship of deformed section length by deformed total length following experimental and simulated Taylor impact tests of specimens of ES-1. Using the one dimensional wave analysis of Jones et al. (1998) of the deformed specimen dimensions, Torres et al. presented the stress-strain response shown in Figure 5-20 for strain rates between 103 and 104 s-1. It is also worth comparing the experimental results with the numerical predictions.

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Figure 5-20. Stress strain response of ES-1 subject to dynamic strain rates in Taylor impact tests conducted by Torres et al. The excellent agreement between the simulated and experimental data for the Taylor impact tests assesses the predictive capabilities of the developed model of ultra high strength martensitic steels under dynamic loadings.

In this chapter, FEA predictions of the developed model have been performed for monotonic tests (e.g. uniaxial tension and free-end torsion), cyclic tension-compression loadings, and dynamic events (SHPB and Taylor impact tests). A good overall agreement between the prediction and available experimental data was observed.

Chapter 6 includes a summary of this dissertation and research as well as recommendations for future research.

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CHAPTER 6 CONCLUSIONS AND RECOMMENDATIONS

In this dissertation an integrated approach using experimental, theoretical, and numerical techniques was employed to further the understanding of ultra high strength martensitic steels. The overall goal was to determine, for the first time, the effect on the mechanical response of ES-1 steel of three different manufacturing processes, namely forging, casting, and HIPing. Prior to the experimental characterization, the ES-1 materials were subject to microscopic analysis. From the SEM observations of the ES-1 material texture, it was concluded that processing did not introduce anisotropic features. Irrespective of the processing, the observed texture was random indicating that the materials are isotropic.

To characterize the mechanical behavior, a suite of mechanical tests were conducted. The quasi-static tests  103  performed were monotonic compression, monotonic tension, and cyclic tension tests.

As concerns the monotonic tests, first axisymmetric specimens (circular cross section) with a 25.4 mm gage length were tested in uniaxial tension. The average yield strength for the forged, cast and HIP’d, and cast axisymmetric specimens using 0.2% offset method were 1541 MPa, 1414 MPa, and 1445

MPa, respectively. The strain-to-failure was of 10%, 8%, and 13% for the forged, cast, and cast and HIP’d materials, respectively. Irrespective of processing, the posttest cross section was circular. It was thus confirmed by mechanical testing that the ES-1 materials studied are isotropic.

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Moreover, for monotonic tensile loading the influence of the specimen geometry on localization of the deformation and strain to failure was investigated.

Both global and local strain measurements using DIC were done. For DIC, two orthogonal cameras were used such as to allow measurements of both the width and thickness strains. Irrespective of the processing history of the material, these strains were equal thus confirming the isotropy of ES-1. The true stress- true strain behavior prior to strain localization was found to be very close to that of the round axisymmetric specimens, but the strain-to-failure of the flat specimens was about half that of the axisymmetric specimens.

Quasi-static uniaxial compression tests were also conducted on cylindrical specimens with a length and diameter of 7.62 mm. It was found that ES-1 exhibits similar yield values in tension and compression. As the plastic strain accumulates, however, the plastic flow stress in compression exceeds that in tension. At 4% axial strain, the ratio of flow stress in tension to compression approaches 0.89.

To elucidate the evolution of the asymmetry of the yield surface, cyclic tests on ES-1 axisymmetric specimens with a 25.4 mm gage length were conducted using an MTS load frame at the UF REEF. Under tensile strain, the tensile flow stress increased while the compressive flow stress was diminished.

Under compressive strain the opposite trend was observed. It was concluded that the evolution of asymmetry of the yield surface is a function of the plastic strain tensor.

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As concerns the dynamic tests, cylindrical specimens with a length and diameter of 5.08 mm were tested in a SHPB system with a 19 mm diameter at the UF REEF. A gas gun was used to accelerate a striker bar to impact the incident bar at approximately 13 m/s creating a strain wave that deformed the specimen at an average strain rate of 700 s-1. Irrespective of the processing history, the hardening behavior of ES-1 subjected to high-rate strain was similar to that under quasi-static loadings, but the strength was higher by a dynamic increase factor of 1.1.

To describe the experimentally observed mechanical behavior a new model was developed in the framework of the theory of viscoplasticity. To account for tension-compression asymmetry in yielding the isotropic form of

Cazacu and Barlat (2004) yield criterion was used in conjunction with a new hardening model. The key novel aspect of this new hardening model is that it accounts for the distortion of the yield locus for both monotonic and cyclic loadings. The noteworthy aspect is that the model is dependent on both invariants of the plastic strain, and it is isotropic in nature. This is a departure from the current practice where in order to account for Bauschinger effects an additional tensorial internal variable, namely the overstress, is introduced. The prime advantage of the proposed hardening model is that it is accurate under monotonic loading, but also describes the Bauschinger effect.

Because of the slightly increased accuracy under monotonic loading and significantly improved characterization of hardening under changes in strain path, it is believed that the new model will provide more accurate results under

180 complex loadings. For this purpose, the capabilities of the new hardening model were illustrated for combined loadings such as tension-shear; compression- shear. The tests necessary for the determination of the parameters involved in the new hardening model and the identification procedure were outlined.

Specifically, the dependence of hardening on the second invariant of strain can be isolated and thus fully identified from pure shear tests. Such a law induces a growth of the yield surface in the deviatoric plane. The strain-hardening dependence on the third invariant of plastic strain cannot be isolated.

Nevertheless, from uniaxial tensile and compressive test data when strain- hardening depends on both invariants, assuming linear decomposition, it becomes possible to identify the dependence on the second invariant of the plastic strain. Since the third invariant of plastic strain is not associated with growth of the entire yield surface, to accommodate the prescribed deformation in two-stage tests involving uniaxial load reversal, in the octahedral plane, the yield surface normal at the six states associated to pure shear strain ought to rotate.

Therefore, it is predicted that in order to accommodate Bauschinger effects the yield surface is distorted. For example, under uniaxial tensile strain the initially

“triangular” yield surface will extend along the tensile meridians and will contract along the compressive ones (i.e. the rounded corners of the rounded “triangle” intersect the tensile meridians). Under uniaxial compressive strain, the opposite distortion occurs. Thus, the yield surface evolves differently depending on the strain history (tension followed by compression, or compression followed by tension).

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This new model was implemented in a fully three dimensional, implicit finite element code and then validated using independent experimental data.

Specifically, for quasi-static loading validation was done for pure shear loadings while for dynamic loadings the Taylor impact loadings were simulated.

For comparison purposes, the von Mises yield criterion in conjunction with a distortional model involving only dependence on the third invariant of the plastic strain, and the Cazacu and Barlat (2004) yield criterion with evolving hardening depending only on the accumulated plastic strain was also applied to ES-1 materials. The same experimental data was used for identification of these formulations. Both formulations were also implemented in the same FE solver

(ABAQUS) using a UMAT. FE simulations of flat ES-1 specimens under uniaxial tensile loading were conducted and a side-by-side comparison of the strain maps using DIC in the experimental characterization and both FE analyses was presented. It was shown that the Cazacu and Barlat (2004) criterion coupled with the full distortional hardening model provides the most accurate representation of the test results.

In addition, verification of the FE implementation and of the capabilities of the model was done by simulating free-end torsion of a thin-walled cylinder. Due to the tension-compression asymmetry of the material, elongation under torsion was predicted.

Most importantly, this dissertation research provides new insights and understanding of plastic deformation under combined loadings. While the new model developed was applied to ES-1 materials, it has a much broader range of

182 validity. Future research involving the use of this hardening model in conjunction with anisotropic yield criteria and its applications to strongly textured materials should be of great interest.

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BIOGRAPHICAL SKETCH

In May of 2000, Elizabeth Kay Bartlett graduated with a Bachelor of

Science in mechanical engineering from Mississippi State University. As a graduate research assistant to Dr. Susan Hudson, she continued her education and completed a Master of Science in mechanical engineering in May of 2002.

While working as a weapons test engineer for the United States Air Force

(USAF), Elizabeth became interested in the fragmentation of warheads in arena tests. In May 2005, her only daughter, Gwyneth Webb, was born at Fort Walton

Beach Medical Center. While working full-time, she began taking classes at the

UF Research and Engineering Education Facility in Shalimar, FL. In August of

2016, she was awarded the Science, Mathematics, and Research for

Transformation (SMART) scholarship to complete her Doctor of Philosophy in mechanical engineering under the advisement of Prof. Oana Cazacu.

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