Development of Low-cost Casting Alloys: An Integrated Computational

Materials Engineering (ICME) Guided Study

Dissertation

Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy

in the Graduate School of The Ohio State University

By

Zhi Liang

Graduate Program in Materials Science and Engineering

The Ohio State University

2018

Dissertation Committee

Professor Alan A. Luo, Advisor

Professor Glenn Daehn

Professor Ji-cheng Zhao

Copyrighted by

Zhi Liang

2018

Abstract

Titanium alloys have proved to be important lightweight structural materials since

1960’s, due to their excellent intermediate temperature mechanical properties, corrosion resistance and weldability. Their good property-to-weight ratios make them ideal for many high-end and weight-sensitive applications. However, the application of titanium alloys is still limited due to the high costs in raw materials and manufacturing, indicating the importance of developing new cost-effective titanium alloys. Compared with other lightweight structural alloys (e.g. aluminum, ), the raw material cost for titanium alloys is generally considered as expensive due to its expensive alloying elements such as vanadium, molybdenum, and tin. The cost issue is further amplified by the difficulties in using conventional machining methods for component-shaping due to the low thermal conductivity. Therefore, cost-effective titanium alloys should address either aspect. This work focuses on the goal of developing new cost-effective Ti-Al-Fe-

Mn titanium alloys for the casting process via Integrated Computational Materials

Engineering (ICME) approach by using cheaper alloying elements and net-shape manufacture process.

Calculation of Phase Diagram (CALPHAD) work on the Ti-Al-Mn ternary system was conducted to establish the reliable thermodynamic database to guide the design.

ii

This investigation includes both experimental work and database programming.

Isothermal phase equilibria and differential scanning calorimetry (DSC) experiments were conducted to acquire the equilibrium information for the determination of phase boundaries. Based on the experimental results, an updated Ti-Al-Mn ternary thermodynamic database was built, which is beneficial for further multi-component titanium alloy development.

The other involved ternary titanium alloy system, Ti-Al-Fe ternary system, was investigated with CALPHAD method first to determine target compositions and desired phases, and then characterized experimentally with scanning electron microscopy (SEM) in order to establish the relationship between process parameters and microstructure.

Based on the combining results from CALPHAD and selected experiments, a new Ti-Al-

Fe casting titanium alloy was designed and produced with induction melting.

Microstructure characterization and mechanical property testing were conducted to examine the potent of this new alloy and establish the preliminary structure-property relationship in the as-cast condition. Besides regular scanning electron microscopy

(SEM), transmission electron microscopy (TEM) was also applied to investigate the effect of certain nano-size microstructural features linked to mechanical properties.

Finally, a laboratory-scale manufacture framework was constructed in OSU facility, including vacuum induction skull melting (ISM), gravity tilt-pour casting, and permanent metallic mold casting. This new framework was used to manufacture a prototype casting connecting rod with the new Ti-Al-Fe casting alloy served as iii

conceptual validation for further industrialization. A preliminary cost analysis was also

presented in this work to illustrate its commercialization potent compared with the current industry applications (e.g. alloy and process).

iv

Dedication

Dedicated to my parents, Fei Huang and Liming Liang, for their continuous and patient

support.

v

Acknowledgments

I shall firstly acknowledge my advisor, Prof. Alan Luo for his full support and

guidance on my PhD research period. With his significant industry experience and

courage, we successfully stepped into a brand new field, titanium alloy, for both of us.

Being pushed into this new and challenging area of research, he offered me a precious experience of handling and planning an entire research project. My achievements in OSU and my new career in NIST are mostly thanked to his backing and recommendations.

I also want to acknowledge the constant consultation from the other co-PI/advisor during my PhD research/project, Prof. James C. Williams. It is my honor to receive his suggestions and counseling in the titanium field, which is new for both me and Prof. Luo.

With his comprehensive experience of titanium in both academia and industry, he gave us many important hints in planning and conducting experiments, and giving us revisions and feedbacks for our publications.

I would like to thank Prof. Glenn Daehn and Prof. Ji-Cheng Zhao of OSU for their help and guidance for the completion of my degree, especially making time for my defense in a quite rushing timeframe during summer semester.

I specially acknowledge the support of all my colleagues in our research group.

Although most of us are all working towards different research directions, we established vi

a very strong collaboration and stimulating discussion across different fields. Among

them I thank especially Xuejun Huang, Scott Sutton and Emre Cinkilic for their constant

assistance in most of my critical experimentations, the titanium casting and testing. I

want to mention three of our group’s post-docs, Dr. Weihua Sun, Dr. Renhai Shi, and Dr.

Jiashi Miao, for providing me immense help in CALPHAD database-ing and microstructural characterizations. Also, as mentioned by our previous graduating colleague, Scott Sutton, I must thank to Janet Meier, Emre Cinkilic, and Scott Sutton for our routine “coffee caravan” with lots of “academia-bouts-exchanging” discussions that really gave me plenty of brand new (and sometimes weirdo) ideas to explore.

I acknowledge the MSE Department’s support staff for assisting us in accelerating

our research works. Especially, I would like to appraise Pete Gosser for helping me to

achieve a lot of casting mold machining and resolving the mechanical testing issues that

really saved me in a pressing need.

Finally, I think my family deserves the greatest thanks from me. My parents have

always stood with me through my entire college career in both China and the United

States, especially for their support and understandings for the path I chose during my

PhD period.

vii

Vita

Sep 2008……….B.S. China University of Mining and Technology, Xuzhou, China

Sep 2010……….B.S. University of Kentucky, Lexington, Kentucky, USA

Sep 2013……….Graduate Research Associate, Department of Materials Science and

Engineering, The Ohio State University

Publications

[1] Z. Liang, J. Miao, J.C. Williams, A.A. Luo, Phase transformation and

strengthening mechanisms investigation of a low-cost and high-strength Ti-Al-Fe-

based cast titanium alloy, in preparation.

[2] Z. Liang, J. Miao, R. Shi, J.C. Williams, A.A. Luo, CALPHAD modelling and

experimental assessment of Ti-Al-Mn ternary system, Calphad, Under Review.

[3] Z. Liang, J. Miao, T. Brown, A.K. Sachdev, J.C. Williams, A.A. Luo, A low-cost

and high-strength Ti-Al-Fe-based cast titanium alloy for structural applications,

Scr. Mater., 157 (2018) 124-128.

viii

[4] Z. Liang, W. Sun, A.A. Luo, J.C. Williams, A.K. Sachdev, CALPHAD modelling

and experimental validation of multi-component systems for cast titanium alloy

development, Proceedings of the 13th World Conference on Titanium, TMS, 2016

1937-1941.

Fields of Study

Major Field: Materials Science and Engineering

ix

Table of Contents

Abstract ...... ii

Dedication ...... v

Acknowledgments...... vi

Vita ...... viii

List of Tables ...... xv

List of Figures ...... xvi

Chapter 1 . Introduction ...... 1

1.1 Motivations ...... 1

1.1.1 Titanium alloys ...... 1

1.1.2 Overall concept of the dissertation and project ...... 3

1.2 Organization of the thesis ...... 7

1.3 References ...... 9

x

Chapter 2 . Titanium Alloying and Casting Technologies: State-of-art ...... 11

2.1.1 α stabilizers ...... 12

2.1.2 β stabilizers ...... 14

2.1.3 Neutral and tracing elements ...... 16

2.2 Casting of titanium alloys ...... 19

2.2.1 Melting technologies ...... 20

2.2.2 Casting and molding technologies ...... 24

2.3 References ...... 26

Chapter 3 . Thermodynamic Reassessment of Ti-Al-Mn Ternary System ...... 28

3.1 Introduction ...... 28

3.2 CALPHAD approach and design of experiments ...... 31

3.3 Sample preparation and microstructure characterization ...... 34

3.4 Differential scanning calorimetry ...... 35

3.5 Thermodynamic modelling and parameters optimization ...... 36

3.5.1 Unary phases ...... 36

3.5.2 Solution phases ...... 36

3.5.3 Intermetallic phases ...... 37

3.6 Experimental results...... 39

xi

3.6.1 Microstructure characterization and phase identification ...... 39

3.6.2 Differential scanning calorimetry ...... 46

3.7 Discussions ...... 46

3.7.1 Binary systems ...... 46

3.7.2 Ti-Al-Mn ternary system ...... 47

3.8 Conclusion ...... 59

3.9 References ...... 61

Chapter 4 . Development of Lightweight Casting Titanium Alloy, Ti-6Al-5Fe-0.05B-

0.05C ...... 66

4.1 Introduction ...... 66

4.2 CALPHAD approach and alloy determination ...... 68

4.3 Sample preparation and microstructure characterization ...... 78

4.4 Differential scanning calorimetry ...... 80

4.5 Mechanical property test ...... 80

4.6 Results and discussion ...... 81

4.6.1 Microstructure characterization ...... 81

4.6.2 As-cast tensile property ...... 85

4.6.3 (α + β) and β transus ...... 87

xii

4.7 Conclusion ...... 89

4.8 References ...... 89

Chapter 5 . Manufacture of Lab-scale Prototype Casting Automotive Connecting Rod .. 93

5.1 Introduction ...... 93

5.2 Lab-scale manufacture casting framework setup ...... 94

5.2.1 Basic concept of the framework ...... 94

5.2.2 Equipment and mold design...... 95

5.2.3 OSU facility setup ...... 97

5.3 Casting simulation ...... 100

5.4 Prototype casting in OSU facility ...... 101

5.4.1 Raw materials ...... 101

5.4.2 Melting operation ...... 103

5.4.3 Casting operation ...... 106

5.5 Casting results and post-assessments ...... 106

5.6 Manufacture cost analysis ...... 109

5.6.1 Raw Materials ...... 109

5.6.2 Energy and Labor ...... 111

5.6.3 Equipment ...... 111

xiii

5.6.4 Final Cost Analysis Comparison ...... 111

5.7 References ...... 116

Chapter 6 . Conclusions and Future Perspectives ...... 117

6.1 Conclusions ...... 117

6.2 Ongoing investigations and future perspectives ...... 119

6.2.1 Further investigation of thermodynamic and kinetics of Ti-Al-Fe system .... 119

6.2.2 Further development of the new alloy, T65-0.05BC ...... 122

6.2.3 Involvement of Mn in alloy design ...... 125

6.2.4 Mold coating investigation ...... 125

6.3 References ...... 128

Chapter 7 Supplementary Results ...... 129

Bibliography ...... 130

xiv

List of Tables

Table 3.1 The assessed thermodynamic parameters of Ti-Al-Mn ternary system in this

work. Only assessed parameters are included, the rest of parameters are inherited from

Ref. [3.25]...... 38

Table 3.2 Multiple phase transition temperatures from DSC and ThermoCalc based on assessed database. Temperature is in the unit of °C...... 58

Table 3.3 Design of experiments and measured EDX phase compositions (at.%) ...... 58

Table 4.1 Tensile properties of as-cast Ti-6Al-5Fe-0.05B-0.05C in comparison with as-

cast Ti-6Al-4V [4.16], Ti-6Al-4V-ELI [4.16] and Ti-5Al-2.5Fe [4.17, 4.18]...... 86

Table 5.1 Cost analysis of raw materials ...... 110

Table 5.2 Equipment, energy and labor cost analysis for cast T65-0.05BC ...... 113

Table 5.3 Equipment, energy and labor cost analysis for P/M ...... 114

Table 5.4 Cost analysis summary ...... 115

xv

List of Figures

Figure 1.1 Project/Thesis flowchart ...... 6

Figure 2.1 Calculated Ti-Al binary phase diagram. Database: PanTi_2017 ...... 13

Figure 2.2 Calculated (brown) Ti-V, (red) Ti-Fe, and (blue) Ti-Mn phase diagrams.

Database: PanTi_2017 ...... 15

Figure 2.3 Calculated (top to bottom) Ti-O, Ti-N, Ti-B, and Ti-C binary phase diagrams.

Database: PanTi_2017 ...... 17

Figure 2.4 (top) Schematic of a 50 kg VAR-casting setup with (1-5) VAR system, (6-10)

and casting system, and (bottom) schematic of a 1000 kg semi-continuous VAR-

casting system with (1-5) VAR system, (6-11) crucible, casting, and mold controlling

system [2.9] ...... 21

Figure 3.1 Calculated 1000°C isothermal section of Ti-Al-Mn system based on starting

thermodynamic description [3.25] with design of experiments, including phase equilibria

and DSC experiments...... 33

Figure 3.2 Backscatter secondary electron (BSE) SEM image showing the microstructure of Sample 4...... 40

xvi

Figure 3.3 Backscatter secondary electron (BSE) SEM image showing the microstructure of Sample 6...... 41

Figure 3.4 TEM characterization of Sample 9: a) low magnification backscatter

secondary electron (BSE) SEM image, b) high magnification BSE-SEM with three

phases labeled, c) BF-STEM image with inserted selected area diffraction pattern from

Laves C14 phase (along [0001] zone axis) and L12 phase (along [001] zone axis), and d)

BF-STEM image with inserted diffraction patterns from L12 phase (along [001] zone axis

) and L10 phase (along [100] zone axis)...... 42

Figure 3.5 TEM characterization of Sample 11: a) BSE image, b) BF-STEM image of a

lift-out TEM specimen, c) selected area diffraction patterns of β-Ti (along [001] zone

axis), and d) selected area diffraction pattern of Laves C14 phase (along [[21 ̅1 ̅0] zone

axis)...... 43

Figure 3.6 DSC signal and derivative curves of Sample 12 through heating. The dashed lines are applied to determine the onset temperatures...... 45

Figure 3.7 Comparison between the calculated Ti-Al-Mn 1000°C isothermal sections

from (top) base thermodynamic description [3.25] and (bottom) this work with phase

equilibria data from this work, [3.20] and [3.21]...... 49

Figure 3.8 Calculated Ti-Al-Mn 1200°C isothermal section with phase equilibria data

from [3.20]...... 51

xvii

Figure 3.9 Calculated Ti-Al-Mn 1300°C isothermal section with phase equilibria data

from [3.20]...... 52

Figure 3.10 Calculated Ti-Al-Mn 1000°C isothermal section with XRD data from [3.22].

...... 54

Figure 3.11 Calculated Ti-Al-Mn 1000°C isothermal section with XRD data from [3.23].

...... 55

Figure 3.12 Calculated Ti-Al-Mn 1150°C isothermal section with XRD data from [3.24].

...... 56

Figure 3.13 Calculated Ti = 25 at.% isopleth with experimental data from [3.24]...... 57

Figure 4.1 Calculated Ti-(5, 6, 7)Al-xFe isopleths. Database: PanTi_2017 ...... 71

Figure 4.2 Calculated Ti-xAl-(4, 5, 6)Fe isopleths. Database: PanTi_2017 ...... 72

Figure 4.3 Calculated isopleth of Ti-6Al-5Fe-xB-xC. Database: PanTi_2017...... 75

Figure 4.4 Calculated Ti-6Al-5Fe-0.05B-0.05C-xO isopleth. Database: PanTi_2017. .... 76

Figure 4.5 Calculated Ti-6Al-5Fe-0.05B-0.05C equilibrium pathway. Database:

PanTi_2017...... 77

Figure 4.6 Machined ASTM E8 tensile specimen ...... 79

xviii

Figure 4.7 SEM images of as-cast Ti-6Al-5Fe-0.05B-0.05C under different

magnifications ...... 83

Figure 4.8 STEM characterization of the microstructure of Ti-6Al-5Fe-0.05B-0.05C: (a)

Bright field STEM image with a inserted selected area diffraction pattern showing the

Burgers orientation relationship between α and β phase, (b) HAADF-STEM image, (c)

STEM EDS maps, and (d) STEM EDS line...... 84

Figure 4.9 ASTM E8 tensile result of as-cast Ti-6Al-5Fe-0.05B-0.05C ...... 86

Figure 4.10 DSC signal curve of T65-0.05BC through heating. The dashed lines are applied to determine the onset and offset temperatures...... 88

Figure 5.1 (left column) Pre-casting mold with ZrO2 coating of (top to bottom) top half

and bottom half, and (right column) post-casting mold pictures of (top to bottom) top

half, bottom half, and core ...... 98

Figure 5.2 (top) OSU facility ISM-Casting furnace and (bottom) layout in the vacuum

chamber ...... 99

Figure 5.3 EKK simulation of (top row) final temperature/solidification and (bottom

row) filling time ...... 102

Figure 5.4 Schematics of charge material stacking in DI-water-cooled crucible

...... 105

xix

Figure 5.5 Prototype casting T65-0.05BC connecting rod ...... 108

Figure 5.6 The effect of P/M stainless steel powder price on final cost estimation ...... 115

Figure 6.1 Experimental 1000°C isothermal section of Ti-Al-Fe system [6.1]...... 121

Figure 6.2 SEM images of heat treated Ti-6Al-xFe: 1100°C/1hr + 800°C/1hr ...... 123

Figure 6.3 TTT experiments of Ti-6Al-5Fe-0.05B-0.05C: β-homogenization at

1100°C/1hr + (row 1) 750°C, (row 2) 800°C, (row 3) 850°C. The aging time is tagged.

...... 124

Figure 6.4 SEM images of Ti-6Al-xFe-yMn: β-homogenization at 1100°C/1hr +

800°C/1hr ...... 126

Figure 6.5 (a) The molten titanium – ceramic couple experiment setup in plasma arc melter, and SEM images of the ZrO2-titanium interfaces of (b) Ti-6Al-2Fe-2Mn and (c)

Ti-6Al-1Fe-3Mn ...... 127

Figure 7.1 SEM images of as-cast Ti-6Al-5Fe-xB-xC: (top) low magnification, and

(bottom) high magnification ...... 129

xx

Chapter 1 . Introduction

1.1 Motivations

1.1.1 Titanium alloys

The element titanium was firstly analyzed and named by a German chemist,

Martin Heinrich Klaproth, in 1795. However, the interest in titanium rose up much later around 1940’s to 1950’s. The investigation on titanium started from producing titanium sponge and then extended to titanium alloy design. The most important advance was the development of Ti-6Al-4V in the United States in 1954, one of the most successful and wide-applied α-β titanium alloys [1.1]. Since Ti-6Al-4V reaches a good combination between properties and manufacture capability, it still dominates the world titanium application field till today.

Due to its weight-savings, fatigue strength, and intermediate temperature performances [1.1-1.4], titanium and titanium alloys have attracted more attention as potential structural materials which require more ideal property-weight ratios. However, the application of titanium alloys is still limited compared with aluminum, magnesium alloys and steel because of its high cost in manufacture, especially for cost-sensitive civil applications. The cost of titanium alloys is generally composed of two aspects: the raw material and processing. The raw material aspect includes the sponge titanium production

1

and the alloying elements. The sponge titanium production is not related to the scope of

this work and therefore not illustrated. As for the alloying elements, the cost can be

further divided based on α, β stabilizers and neutral elements. For α stabilizers, Al is the

most common and economically reasonable, which does not induce the material cost issue. However, several other interstitial α stabilizer, such as , needs to be controlled to obtain the desired balance between strength and ductility levels, and thus introduces cost in purity control during manufacturing processes. For β stabilizer, the β

isomorphous category is the most widely used but also expensive, such as V, Mo and Ta.

On the other hand, the β eutectoid category is cheaper but introduces problem of segregation and intermetallic phases, which are detrimental to physical properties. For

neutral elements, they are generally expensive and mostly for morphological control,

which are not considered in this specific project but will be investigated in the future if

necessary.

The other important cost factor for titanium alloy is the manufacture process. For

intricate-shape component, machining is the conventional choice for final shaping.

However, titanium and titanium alloys are generally cost-inefficient in machining due to

their low thermal conductivity. The heat generated from machining process is hard to be

evacuated out of the tools, therefore greatly reduces the tool life and increases the

machining cost. Hence, instead of -removal shaping, the net-shape and near-net-

shape processes are more preferable for titanium alloys since they maximally avoid the

machining issues and minimize the metal waste during component realization.

2

This work is focused on addressing the cost issue in titanium alloy manufacture by applying appropriate alloy design and manufacture optimization strategies with a combination approach of simulation and experiments, which is explained in the following sub-section.

1.1.2 Overall concept of the dissertation and project

This work was initiated by the corresponding Department of Energy project targeting at reducing the cost of titanium alloy manufacture for automotive applications.

This dissertation covers multiple topics investigated within the scope of the DOE project, including Calculation of Phase Diagram (CALPHAD) for titanium alloy systems,

CALPHAD-assisted titanium alloy design and development for certain application, and design of correlated manufacture process with Integrated Computational Materials

Engineering (ICME) tools. In this 4-year project, we started from exploring new low-cost titanium alloy systems with the guidance of ICME-CALPHAD framework, and determined a promising alloy system, Ti-Al-Fe-Mn-B-C, that can allow further development (lab-scale and industry-scale) in the future. During the new alloy system exploration, considerable amount of scientific work was completed, including

CALPHAD modeling, microstructure morphology, mechanical properties, and processing of the new alloy systems. The relevant ternary titanium alloy systems, Ti-Al-Mn and Ti-

Al-Fe, were examined and reassessed both computationally and experimentally, leading to more comprehensive understanding of these alloy systems. 3

Based on this above study, a new low-cost casting titanium alloy was developed,

Ti-6Al-5Fe-0.05B-0.05C (designated as T65-0.05BC), which has competitive as-cast

strength level with current commercial titanium alloys but relatively low ductility.

However, in this project, since the target application, automotive engine connecting rod,

is a fatigue-limited component and does not require high ductility, this alloy shall suffice as the deliverable alloy in this project. It should be noted that in order to meet the field- test standard, this new alloy still needs to be thoroughly investigated in heat treatment,

which is a routine procedure for casting titanium alloys.

After designing and confirming the potent of the new alloy, we designed and built

a lab-scale manufacturing framework in OSU facility to conceptually prove that this alloy

can be manufactured with permanent mold casting, which is low-cost and potentially a

mass production process. We designed and produced a lab-scale prototype connecting rod

demonstrating the capability of permanent mold casting of this new alloy with ICME tools. Based on the results from lab-scale manufacturing, several recommendations are made for commercialization/industrialization of this process.

Also, in order to address that this alloy and the related manufacturing process we proposed are cost-competitive with the current alloy and manufacturing techniques, a cost analysis was conducted in this investigation. The results showed that compared with current conventional powder metallurgy steel and the Ti-6Al-4V, this new casting titanium alloy has the potent to replace them in actual manufacturing environment.

4

In addition to the major achievements listed above, there are a few issues that

need to be investigated about this new alloy and the manufacturing process. For example, the heat treatment of this new alloy needs to be further investigated to control the stable microstructure to enhance reliability of final components. The permanent mold casting process requires more precise design to reach maximum efficiency during operation.

These issues and challenges will be listed in Chapter 6. The flowchart of this project/thesis is shown in Figure 1.1.

5

Figure 1.1 Project/Thesis flowchart

6

1.2 Organization of the thesis

As briefly described above, the objective of this work is to develop new cost-

effective casting titanium alloys with the approach combining limited experiments and calculations, and to design the related manufacture process for industrial applications.

Several chapters are permitted to include/use of my own published/under-review journal articles by policies of Elsevier [1.5]. Their corresponding references are listed below accordingly. At first, a general review about titanium alloys is summarized in Chapter 2, focusing on alloying element effects, and the state-of-art manufacturing technologies as the background for the alloy and manufacture process design. Necessary details and literature reviews for different topics are expanded respectively in different chapters.

In Chapter 3, Ti-Al-Mn alloy system, one of the sub-systems studied in this project, is taken as an example for assessment of thermodynamic systems with

CALPHAD tool. This chapter involves the design of experiment for CALPHAD assessment, experimental evaluation, and thermodynamic database examination. The other sub-system, Ti-Al-Fe, is still under investigation and the current progress is illustrated. Its remaining issues are explained in Chapter 6. This chapter is a re-use of an under-review journal article that is expected to get published this year [1.6]

In Chapter 4, we propose a new low-cost casting titanium alloy, Ti-6Al-5Fe-

0.05B-0.05C. This chapter includes the design route of this new alloy starting with the determination of alloying elements, getting referential alloy composition by CALPHAD,

examining the new alloy for microstructure features and various properties with different 7

characterization tools. We also attempted to establish the structure-property relationship for this new titanium alloy. This chapter is a re-use of our published journal article [1.7].

In Chapter 5, a lab-scale permanent mold titanium casting framework was setup in OSU facility and casted with the new casting titanium alloy designed in Chapter 4, Ti-

6Al-5Fe-0.05B-0.05C. This chapter includes the concept of this casting framework, the installation of the equipment/accessories, the design of casting process with ICME tools, the detailed melting-casting operations, and finally presenting the conceptual prototype casting. In addition to the design of the manufacture process, a preliminary cost analysis is also conducted to illustrate the cost potent of this new alloy and manufacture process compared with current application in industry, and therefore proves them capable for further commercialization.

The conclusions and discussions on future works are presented in Chapter 6 for further development of the new alloy and manufacture process based on current work.

The investigations in this dissertation are sponsored by the U.S. Department of

Energy under project DE-FOA-0000988. This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States

Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to

8

any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.

The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

1.3 References

[1.1] G. Lütjering, J.C. Williams, Titanium, second ed., Springer, 2007.

[1.2] D. Banerjee and J.C. Williams, “Perspectives on titanium science and

technology,” Acta Mater., 61 (2013) 844–879.

[1.3] J.T. Whittaker, Ductility and Use of Titanium Alloy and Stainless Steel

Aerospace Fasteners, Thesis, University of South Florida, Tampa FL, 2015.

[1.4] D. Eylon, F.H. Froes, R.W. Gardiner, J. Met., 35 (1983) 35–47; also, in:

Titanium Technology: Present Status and Future Trends, F.H. Froes, D. Eylon,

H.B. Bomberger (Eds.), Titanium Development Association, 1985, pp. 35–47.

[1.5] Elsevier. 2017. Copyright. [ONLINE] Available at:

https://www.elsevier.com/about/policies/copyright. [Accessed 15 August 2018].

[1.6] Z. Liang, J. Miao, R. Shi, J.C. Williams, A.A. Luo, CALPHAD Modeling and

Experimental Assessment of Ti-Al-Mn Ternary System, Calphad, under review. 9

[1.7] Z. Liang, J. Miao, T. Brown, A.K. Sachdev, J.C. Williams, A.A. Luo, A Low-

cost and High-strength Ti-Al-Fe-based Cast Titanium Alloy for Structural

Applications, Scr. Mater., 157 (2018) 124-128.

10

Chapter 2 . Titanium Alloying and Casting Technologies: State-of-art

2.1 Alloying effects on casting titanium alloys

In general, the effects of alloying elements on pure titanium are categorized based

on how they affect the phase stabilities of two essential phases in titanium alloys:

hexagonal close-packed (HCP) α and body-centered cubic (BCC) β phases. The phase

fractions and morphologies of these two phases directly determine the anticipated

properties (especially mechanical properties) of titanium alloys. The phase transformation

temperature between α and β phases, the β transus, is at 882°C in pure titanium. Different

alloying elements can either increase or decrease this signature temperature respectively,

and also introduce a (α + β) two phase region in the middle. The methodologies for

different alloying elements are α stabilizer (increase β transus), β stabilizer (decrease β

transus), and neutral element (no obvious effect on β transus). It should be noted that

within the neutral element type, though they do not significantly affect the β transus,

some elements do have other effects, such as microstructural morphology. These

elements will be specifically discussed in 2.1.3 with other neutral elements since they are

also important factors in alloying design. And since this work focuses on titanium

casting, the casting-related characteristics are also discussed.

11

2.1.1 α stabilizers

The most common α stabilizer is aluminum despite from several tracing elements

such as oxygen, , and . Aluminum exists in almost every titanium alloys as

the α stabilizer since it is the only element raising β transus and has large solubility in a large temperature-composition space in titanium as shown in Figure 2.1, the Ti-Al binary

phase diagram. There are other alloying elements that can serve as α stabilizers, but due to their low solubility in titanium, they are not discussed in this work. According to the

binary phase diagram in Figure 2.1, aluminum can raise the β transus by ~24°C/wt.%,

and the maximum solubility of aluminum in titanium is 31.11 wt.% at 1503.15°C.

However, for alloy design purpose, the aluminum composition needs to be controlled

below ~15 wt.% due to the increased stability of ordered β phase as shown in the

neighboring two-phase regions, which is experimentally proved in multiple high

aluminum content titanium alloys [2.1]. The increase stability of Ti3Al (α2) phase should also be concerned. This ordered HCP structure precipitates from disordered α phase, and

can potentially strengthen α phase but severely undermines alloy ductility at room

temperature with large volume fraction [2.2]. The strengthening effect from Ti3Al is

usually applied in γ-TiAl alloys but not common in α-β alloys [2.3].

12

T[C]

Figure 2.1 Calculated Ti-Al binary phase diagram. Database: PanTi_2017

13

2.1.2 β stabilizers

The β stabilizers are further categorized into isomorphous and eutectoid ones depending on whether a eutectoid reaction occurs in the binary phase diagram. In this

sub-section, the involved β stabilizers in this work are discussed: vanadium as the

baseline, and manganese as potential candidates.

As can be seen from the calculated binary phase diagrams in Figure 2.2,

compared with vanadium, iron and manganese are more effective in reducing β transus,

and allow β phase to be stable at room temperature. More importantly for casting, these

elements suppress melting temperatures (liquidus). For casting process, the potential

decrease in melting temperature for several hundred degrees can significantly lower the

reactivity issues and difficulty in handling the molten titanium [2.4]. However, the

enlarged liquidus-solidus gap is regarded as the cause of solute segregation during

solidification, which in titanium alloys is known as the “β fleck” [2.5]. The β fleck is a

common problem in the ingot production when the segregation leads to different

compositions of β stabilizers across different regions in macro-scale, and consecutively

leads to different post-heat-treatment behaviors since different β stabilizer compositions

have different β transuses. This segregation problem is possible to be suppressed with

faster cooling rate in the metallic mold casting process to prevent solute from diffusion

(compared with the cooling rate and diffusion distance of large ingot).

14

T /C

Figure 2.2 Calculated (brown) Ti-V, (red) Ti-Fe, and (blue) Ti-Mn phase diagrams.

Database: PanTi_2017

15

2.1.3 Neutral and tracing elements

Most neutral elements, such as Zr, Hf, and Sn, are heavy elements compared with

titanium and cost-ineffective. Since they do not meet the requirements in this

work/project, these elements are not discussed. For trace elements like oxygen and

nitrogen, they are usually inevitable to be included during the processing of titanium

alloys and need to be considered. As for boron and carbon, their involvement originates

from multiple literature investigations.

As shown the binary phase diagrams in Figure 2.3, oxygen and nitrogen are more

soluble in titanium compared with boron and carbon, and both are strong α stabilizers,

and they can significantly modify the strength level of the alloy with trace compositions

[2.6, 2.7]. On the contrary, boron and carbon have limited solubility in titanium (carbon has some extent of solubility and can be partially considered as solid solution strengtheners below certain amounts and intend to form high temperature compounds, titanium boride and carbide. There are a few investigations on boron and carbon effects on titanium alloys about the strengthening and grain refinements, which are reviewed in details in Chapter 4. Among these four elements, oxygen is conventionally considered as the most critical in titanium alloys in order to control the strength and ductility of the final component.

16

T /C

2000 Liquid + Liquid 1750

1500

1250

1000 + T /C

750

500

250

+ Ti2N 0 0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 Ti wt.%(N) Continued

Figure 2.3 Calculated (top to bottom) Ti-O, Ti-N, Ti-B, and Ti-C binary phase diagrams.

Database: PanTi_2017

17

Figure 2.3 continued

1750 Liquid

b + Liquid 1500

1250 + TiB

1000 T /C 750 + TiB

500

250

0 0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 Ti wt.%(B)

2000 Liquid

1750 TiC + Liquid

1500

1250 + TiC

1000 + T /C

750

TiC + 500

250

0 0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 Ti wt.%(C)

18

2.2 Casting of titanium alloys

Because of the high price of titanium itself, the total cost of titanium alloys is largely dependent on the technique in processing and forming. Due to the fact that conventional machining of titanium alloys are hard as explained in Chapter 1, the requirement for titanium casting is growing rapidly. Traditional processing of titanium alloys makes small parts and incorporates into the final component. Casting, instead, makes net shape casting component, which reduces the cost of assembling and metal- removing. For example, with same weight, the cost of each casting part is usually 15-

35% lower than that of wrought part, but without great differences in mechanical properties [2.8]. Usually, titanium casting can be of final product after several heat and surface treatments. Titanium shape casting was firstly applied by U.S. Bureau of Mines with high density graphite molds in 1954, and is growing rapidly right now [2.3].

Between 1978 and 1997, the United States titanium casting shipments had a great increase. Then the decrease was due to golf club production, one of the main users of titanium casting alloy, moved to low-cost countries, and thus another increase in 2003 happened with an increasing need of industrial titanium castings. Titanium casting industry is new compared with other metal casting industries (ferrous, aluminum, and magnesium). With the possibilities of casting techniques improvement and cost reduction, titanium casting is expected to extend its application areas quickly, especially in automotive industries, which requires lighter and stronger components to reduce energy costs. Large-scale titanium casting component has already been widely used in

19

aerospace industry. The challenge addressed in this work is mainly the cost requirements

from massive production in civil areas, specifically in automotive industries in this correlated DOE project. These challenges in titanium casting technology are further discussed in the melting and casting/molding methods respectively.

2.2.1 Melting technologies

Currently, the most commonly used process for making titanium ingot is the vacuum arc remelting technique (VAR). This technique uses the cold-compacted target alloy as the electrode, triggers the onto the hanged electrode, and gradually melts the electrode to form the ingot at the bottom of the crucible. The ingot is usually reverted and remelted for several times to ensure homogeneity. Today, mature VAR processes can reach a relatively large ingot size and weight (100 cm diameter, 10000-

15000 kg). However, when applying this melting technique with casting process, the setup is complex and not spatially preferable for lab-scale, but should be energy-efficient

and applicable for industry-scale. Two typical large-capacity VAR-casting setup

schematics are shown in Figure 2.4.

20

Continued

Figure 2.4 (top) Schematic of a 50 kg VAR-casting setup with (1-5) VAR system, (6-10) crucible and casting system, and (bottom) schematic of a 1000 kg semi-continuous VAR- casting system with (1-5) VAR system, (6-11) crucible, casting, and mold controlling system [2.9]

21

Figure 2.4 Continued

22

The other new melting technique is the cold hearth melting (CHM). The heating source of CHM processes can be plasma arc, electron beam, or induction field. The

former two approaches are known as plasma cold hearth melting (PCHM) and electron

beam cold hearth melting (EBCHM), and the latter one is known as induction skull

melting (ISM). Different from VAR, during the melting process, the contact location

between the molten metal and cold hearth remains a thin solid layer called “skull”,

preventing any contamination or reaction from the hearth. There are a number of

advantages of CHM compared with VAR, including the purity of the molten metal,

charge material preparation, etc. The most important advantage in this work, specifically for casting process, is the easiness in setup of transferring the molten metal into casting mold. As shown in Figure 2.4, conventional VAR-casting setup needs to transfer melted electrodes into a ladle and then into the casting mold, while the CHM process applied in this work, ISM, can directly transfer the charge materials into the mold. This setup is illustrated in details in Chapter 5. The only disadvantage of CHM process on casting is the limited superheat. Due to the continuous fast heat loss from the cold hearth, the superheat that most cold hearth processes can achieve is 50-100 degrees. It significantly decreases the viscosity of the molten metal and thus limits the intricate cavity filling performance in casting. For EBCHM, similar to VAR, the complexity in casting setup is another limitation for specifically for this work/project. On the other hand, ISM-casting setup is more spatially reasonable for lab-scale experiments, which is applied in this work/project and described in Chapter 5.

23

2.2.2 Casting and molding technologies

Besides the high requirements for melting technique, the other big challenge for

titanium casting technology is the high affinity of titanium with impurities such as

oxygen, nitrogen and , and the high melting point of titanium, which requires

that titanium casting must be conducted under vacuum or inert-gas-protected condition

and also within special mold. Titanium casting is developing because of three key factors:

improvement of net shape casting technology, improvement of fatigue properties, and

preservation in casting-mold reaction [1.1]. Currently, there are generally two techniques

for titanium casting: conventional casting with rammed graphite mold, and investment

casting.

Conventional gravity casting is a common technique in the family of casting, but

applying rammed graphite mold is specific for titanium casting (or other highly reactive

). The graphite mold is usually made from compacted graphite powder and

organic/inorganic binders. The purpose of rammed graphite mold, which is different from

sand mold for ferrous and bronze casting, is to maximally reduce the reaction between molten titanium casting and the mold. Thus, with this decrease in interfacial reactions, rammed graphite titanium casting can produce complex net shape components with good surface conditions (after regular tumble cleaning and chemical milling) [1.1].

Investment casting is another common technique in casting. Compared with

conventional gravity casting, the first difference is the method of making mold. It firstly makes a wax mold cavity pattern, and then applies a nonreactive coating on it in order to 24

prevent reaction between ceramic mold and molten castings (not necessary). After the

coating is finished, with applying mold materials (ceramics, etc.) and removal of inner

wax by heating, the mold is completed. The advantage of investment casting, comparing

with conventional casting, is that it can produce more complex shape while avoiding

over-extra machining. Since the cavity, i.e. shape of casting, is made by wax (or similar

materials), the pattern can be easily shaped into very complicated forms without heavy

machining. But its disadvantage is also originated from its complicated procedure:

relatively high labor cost. So it is vastly applied in aerospace fields for producing large,

complex, and non-massive production of structural components.

In order to combine the advantages of investment casting and conventional

graphite casting – complex casting infrastructure and reusable mold, permanent mold casting is one of those options. Permanent mold casting usually uses metallic mold, which can provide better thermal conductivity, i.e. heat exchange rate to gain faster cooling rate of casting, and thus, better as-cast microstructure. Permanent mold casting are usually applied for casting of relatively lower melting temperature metals, such as aluminum and magnesium, and also relatively less reactive high melting temperature materials, such as steel. And as stated at the very beginning, titanium has a high melting temperature and also highly reactive with regular metal mold materials, which is difficult in applying permanent metal mold casting. Therefore, the key point in applying permanent metal mold casting for titanium alloy is to prevent reactions between mold and

25

molten metal, which can be achieved via two approaches: specialized mold and modification of casting alloys, which are the main contents in this work.

2.3 References

[2.1] K. Das, S. Das, Order-disorder transformation of the body centered cubic phase

in the Ti-Al-X (X=Ta, Nb, or Mo) system, J MATER SCI, 38 (2003) 3995-4002.

[2.2] R. Boyer, E.W. Collings, G. Welsch, Materials Properties Handbook: Titanium

Alloys, ASM International, 1994.

[2.3] J.C. Chesnutt, Titanium Aluminides for Aerospace Applications, in Superalloys,

TMS, 1992.

[2.4] M. Guclu, Titanium and titanium alloy castings, ASM Handbook Volume 15

Casting, ASM International, 2008.

[2.5] A. Mitchell, A. Kawakami, S.L. Cockcroft, Beta fleck and segregation in

titanium alloy ingots, High Temp Mater Proc, 25 (2011) 337-349.

[2.6] I.I. Kornilov, Effect of oxygen on titanium and its alloys, Met Sci Heat Treat+,

15 (1973) 826-829.

[2.7] W.L. Finlay, J.A. Snyder, Effects of three interstitial solutes (nitrogen, oxygen,

and carbon) on the mechanical properties of high-purity, alpha titanium, JOM, 2

26

(1950) 277-286

[2.8] I.J. Polmear, Light Alloys – From Traditional Alloys to Nanocrystals, 4th

Edition, Elsevier, 2006.

[2.9] Vacuum Arc Remelting, ASM Handbook, 15 (2008) 132-138.

27

Chapter 3 . Thermodynamic Reassessment of Ti-Al-Mn Ternary System

3.1 Introduction

Titanium alloys are increasingly important engineering structural materials for weight-savings, fatigue strength, and intermediate temperature performances [1.1, 1.2,

3.1]. The relatively high costs of titanium alloys have limited their applications to critical components, the development of new cost-effective titanium alloys is necessary to extend their high-volume applications. In order to reduce the cost of titanium components, either the alloy composition or the process (or both) can be tailored to address this issue. The properties of engineering alloys are dependent on their phase constitution and microstructure, resulting from the alloy composition and processing conditions. The alloy constituents and their morphologies are dependent on the thermodynamic and kinetic conditions of the alloy system. Therefore, it is essential to acquire the accurate thermodynamic description of the phase equilibria in order to enable the alloy design in titanium alloy systems.

Compared with aluminum, magnesium and steel, titanium is more expensive due to its raw material cost. Naturally, replacing the current expensive alloying elements (V,

Mo, etc.) with inexpensive alternates is an important approach to reduce the alloy cost

28

[1.2]. Thus, it is necessary to design new low-cost titanium alloys with inexpensive

alloying elements.

In this investigation, manganese was chosen as a potential alloying element to reduce the alloy raw material cost. Manganese is a strong β stabilizer in titanium, but also will significantly lower the melting and β transus temperatures as shown in Figure 2.2.

This also reduces the manufacturing difficulties in melting and heat treatment processes in applications such as casting and additive manufacturing (AM). Also, due to its large solubility in β-Ti phase as shown in Figure 2.2, manganese is expected to be a strong solid solution strengthener in titanium alloys. As for the detailed effects of manganese in titanium alloy system, the potential strength and plasticity of Ti-Al-Mn alloys were investigated by Luzhnikov and Metallovedenie [3.1]. A few studies indicate that the

addition of manganese can potentially improve the ductility in γ-TiAl alloys [3.2, 3.3],

and several γ-TiAl alloys with dilute amount of manganese additions show good

manufacturability, high temperature strength, and fatigue properties [3.5, 3.6]. In

addition, according to a number of investigations [3.7-3.14], manganese also showed

good alloying effect in certain dilute α-β (Ti-2Al-1.5Mn, Ti-2.6Al-2.2Mn, Ti-2.5Al-

1.8Mn) and near α (Ti-0.75Al-0.75Mn-0.3Fe) Ti-Al-Mn alloys regarding tensile

properties, weldability, post-welding mechanical properties, and superplastic deformation behavior. A series of α-β and near-α Ti-Al-Mn alloys were reported by Moissev for

balanced mechanical properties during cold and hot deformation [3.15]. All these reports

suggested potential applications for Ti-Al-Mn titanium alloys. Therefore, Ti-Al-Mn

29

phase diagrams should be examined in order to develop potential new Ti-Al-Mn alloys.

Specifically for Ti-rich alloy design, the major phase regions regarding α, β, and Ti3Al are important since β phase normally serves as the matrix phase, α as strengthening phase for β, and Ti3Al phase as strengthening phase for α. Additionally, acquiring accurate

information about γ-TiAl and its neighboring phases can benefit the design for Mn-

containing γ-Ti alloys as well. Overall, the relationship between the phase equilibria and

alloying elements in this system is essential to design the proper alloy compositions for

specific applications.

Although some thermodynamic assessments have been reported for this ternary

system, most experimental results and assessments were focused on γ-TiAl, Ti3Al and

surrounding Laves phase [3.21, 3.25, 3.26, 3.27], including L12 and Laves C14 phases.

The experimental Ti-Al-Mn phase diagrams were reported in a few investigations [3.16-

3.24]. Chen et al. studied the phase equilibria of alloy composition Ti-42Al-10Mn (at.%) at 1000°C and 800°C [3.21]. Butler et al. investigated the phase transformation temperatures of several γ-TiAl based alloys experimentally and compared with computational results [3.17-3.19]. Kainuma et al. [3.20] studied the alloy composition Ti-

45Al-4Mn (at.%) at 1300°C, 1200°C, and 1000°C and constructed a few experimental isothermal sections. Mabuchi and Nakayama et al. investigated the ternary L12

compound, Ti25Mn9Al66, and neighboring phase regions experimentally [3.22-3.24].

Chakrabarti reported an experimental Mn-rich isothermal section at 1000°C [3.26], which

was later experimentally confirmed by Yan et al. [3.27]. It should be noted that some

30

experimental results may not be sufficiently accurate for alloy design and thermodynamic

assessment. For example, the equilibrated alloy experiments of Mabuchi and Nakayama

et al. [3.22-3.24] were conducted using a short time span that the specimens might not

reach full equilibrium conditions. Despite the most recent work by Chen et al. [3.25], the

assessments of Ti-rich regions (Ti > 80 wt.%) were scarce in either experiments or

modeling, which affect phase regions containing α, β, and Ti3Al phases. As illustrated

above, the formation of these phases are critical to the final alloy properties. Therefore, in

this paper, the equilibrated alloy method was used to obtain phase equilibria information

in Ti-Al-Mn ternary system, and its thermodynamic description was assessed, especially

for Ti-rich region based on the experimental results. These outcomes will provide an

important basis of assessing Ti-Al-Mn-based multi-component systems and assisting design of new cost-effective titanium alloys in the future. The content of this chapter has been under review in Calphad and expected to be published in 2018 [1.6].

3.2 CALPHAD approach and design of experiments

In recent years, CALPHAD proves to be a useful tool for the new alloy design and validation in the ICME framework [3.33]. As mentioned above, accurate thermodynamic databases are the essential input for CALPHAD simulation to predict the equilibrium phase stability, driving force for phase transformation etc. However, unlike existed well-established databases for steel, aluminum and magnesium, the current titanium-based commercial databases are lack of validations due to the scarce 31

experimental data. Therefore, the Ti-Al-Mn experimental data generated in this work is

highly beneficial to improve the current titanium databases.

In this work, the Ti-Al-Mn 1000°C isothermal section was selected to cover most

important phase regions in Ti-rich corner. The design of experiments was based on the

thermodynamic description from Chen et al. [3.25]. Multiple compositions were prepared

in the isotherm as shown in Figure 3.1 and listed in Table 3.3 to validate/reassess the

calculated phase equilibria. Since the focus of this investigation is the Ti-rich region, the

design of experiments is determined in the 2-phase and 3-phase regions neighbouring of the target single phase regions

32

Figure 3.1 Calculated 1000°C isothermal section of Ti-Al-Mn system based on starting thermodynamic description [3.25] with design of experiments, including phase equilibria and DSC experiments.

33

3.3 Sample preparation and microstructure characterization

The button specimens were prepared with plasma arc melter (Arc melter, SA-200,

Materials Research Furnaces, Inc.) from high purity elements: titanium (99.99%, Kamis

Inc.), aluminum (99.99%, SCI Engineering), and manganese (99.9%, Alfa Aesar). Each specimen was re-melted four times to ensure homogeneity, and then encapsulated in the quartz tubes back filled with ¼ atmospheric pressure of Ar for equilibrated treatment. Each encapsulation included a small Ta-3W (wt.%) block to absorb remaining trace oxygen. The specimens were annealed in tube furnace for 720 hours at 1000°C to reach phase equilibria, and then water-quenched to room temperature. Samples for microstructure characterization were ground and polished following conventional metallographic specimen preparation procedures. General microstructure observation was conducted in a FEI Apreo Scanning Electron Microscopy (SEM) equipped with an

Energy-Dispersive X-ray Spectroscopy (EDAX) system. Cross-sectional Transmission

Electron Microscopy (TEM) specimens for phase identification were prepared in a FEI

Helios focused ion beam (FIB) microscope using lift-out method. All FIB TEM specimens were further cleaned using Fischione 1040 nanomill to reduce ion beam damage associated with FIB sample preparation. TEM characterization was carried out on a FEI Tecnai TF20 TEM/STEM microscope operating at an accelerating voltage of

200keV.

34

3.4 Differential scanning calorimetry

The differential scanning calorimetry (DSC) was conducted with the NETZSCH

DSC 404F1 Pegasus® in this investigation at University of Science & Technology

Beijing in order to evaluate the 3-phase region, (β-TiMn + β + Laves C14), which is hard

to pinpoint via equilibrated alloy method. The DSC specimen was prepared with the

equilibrated alloy method above. The specimen, Ti-2.24Al-48.94Mn (wt.%), was placed

in an alumina crucible with an empty alumina crucible as reference. The specimen

chamber is evacuated and backfilled with argon gas. The empty alumina crucible was

tested before the sample to obtain the baseline, which was deducted for the results of the sample. The DSC instrument, namely the thermocouple, has been calibrated regularly.

The calibration process includes both the temperature and sensitivity calibrations, which are specific to the crucible, the heating rate, and the protective gas. Five pure metals, i.e.

Au, Al, Zn, Bi, and In, were applied for the calibrations. The temperature calibration

eliminates the deviation between the temperature measured by the thermocouple and the

actual temperature of the sample. Sensitivity correction ensures the accurate conversion

between thermocouple signal and heat flow power. The chamber temperature was

increased to 1200°C at the rate of 20°C min.

35

3.5 Thermodynamic modelling and parameters optimization

3.5.1 Unary phases

The Gibbs free energy function for the element Ti, Al, Mn in all phases is described by Eq. (1) from SGTE compilation of Dinsdale [3.30]:

⁄ ⋯ (1)

where ϕ represents the target phase, and T represents the absolute temperature.

3.5.2 Solution phases

In the Ti-rich region of Ti-Al-Mn ternary system, the solid solution phases liquid,

BCC, and HCP phases are described by Eq. (2):

ln , ,

,, ,,

(2)

The first two terms represents ideal solution, and the third and the fourth terms

represents the excess Gibbs free energy. xi is the mole fraction of component i. is taken from Eq. (1). R is the gas constant. L’s are binary and ternary interaction parameters in the third and the fourth terms. Vk is defined

as: 1 ∑,, ⁄ [3.22].

36

3.5.3 Intermetallic phases

Multiple intermetallic phases in the Ti-Al-Mn ternary system, including Lave

C14, α2 (Ti3Al), γ (TiAl), Al8Mn5, and L12, are described by Eq. (3):

(3)

The thermodynamic descriptions from Chen et al. [3.25] were taken as the pre- assessment model and re-assessed for Ti-rich region.

In this work, all thermodynamic parameters are optimized manually in

ThermoCalc. The optimization priority of experimental data is as follows: three phase tielines, two phase tielines, and XRD data points. All pre- and post-optimized parameters are listed in Table 3.1.

37

Table 3.1 The assessed thermodynamic parameters of Ti-Al-Mn ternary system in this

work. Only assessed parameters are included, the rest of parameters are inherited from

Ref. [3.25].

Phase Parameter Liquid ,, 20000 18.33 α ,, 28427.33 26.334 ,, 46657.5 50 β ,, 81154.51 35.4668 ,, 29460 26.8 Laves C14 _ _ : 94500 18 2 : 62485 17.5 _ _ 2 ,: 6000 ,: 135859 66.66 ,: 34190 8 _ _ Ti3Al : 350000 3 _ _ : 15000 3 ,: ,: 60460 21 ,: 27000 3.5 L12_Ti25Mn9Al66 ,:: 33052 13 ,:: 8000 5 ::, 16217 19.67 ::, 2000 ::, 1316.47 5

38

3.6 Experimental results

3.6.1 Microstructure characterization and phase identification

Selected annealed microstructures and diffraction patterns are shown for the assessed multi-phase regions and related phase identifications. Figure 3.2 is BSE-SEM image of Ti-17.75Al-5.62Mn alloy located in phase region (β + Ti3Al). Figure 3.3 shows the microstructure of Ti-27.35Al-7.17Mn alloy located in phase region (Ti3Al + L10 + β).

The compound phases in these two specimens were identified by the composition ratios and did not need further diffraction patterning.

Figure 3.4 a) and b) are BSE-SEM images of Ti-55Al-14Mn specimen. Based on the image contrast, it can be seen that there are three different phases in this alloy. Two site-specific FIB specimens were prepared for phase identifications. Figure 3.4 c) and d) are bright field scanning transmission electron microscopy (BF-STEM) images of these two specimens. Selected area diffraction (SAD) patterns from all phases are shown in

Figure 3.4. The diffraction results show three phases: Laves C14, L10 and L12 phases,

indicating that this alloy is located in a three phase region and consistent with the

CALPHAD simulation. The needle-morphology of the L12 phase is also consistent with

previous SEM investigations by Mabuchi and Nakayama et al. [3.22-3.24]. The

diffraction pattern represents a cubic crystal structure, and the measured lattice parameter

is 0.3727 nm. As for L10 FCC tetragonal phase, the measured lattice parameters a and c

are respectively 0.3953 nm and 0.3980 nm, indicating that the solid solutioning of Mn in

L10 does not significantly increase the tetragonality.

39

Figure 3.2 Backscatter secondary electron (BSE) SEM image showing the microstructure of Sample 4.

40

Figure 3.3 Backscatter secondary electron (BSE) SEM image showing the microstructure of Sample 6.

41

Figure 3.4 TEM characterization of Sample 9: a) low magnification backscatter secondary electron (BSE) SEM image, b) high magnification BSE-SEM with three phases labeled, c) BF-STEM image with inserted selected area diffraction pattern from

Laves C14 phase (along [0001] zone axis) and L12 phase (along [001] zone axis), and d)

BF-STEM image with inserted diffraction patterns from L12 phase (along [001] zone axis

) and L10 phase (along [100] zone axis).

42

Figure 3.5 TEM characterization of Sample 11: a) BSE image, b) BF-STEM image of a lift-out TEM specimen, c) selected area diffraction patterns of β-Ti (along [001] zone axis), and d) selected area diffraction pattern of Laves C14 phase (along [[21 ̅1 ̅0] zone axis).

43

Figure 3.5 a) is a BSE-SEM image of Ti-20Al-32Mn alloy. It can be seen that the

microstructure of this alloy mainly consists of two phases. Figure 6 b) is a BF-STEM

image of a FIB lift-out specimen prepared from this alloy. The electron diffraction

results in Figure 6 c) and d) show that these two phases are ordered-β and Laves C14

phase respectively, in which the ordering of β-Ti is consistent with high Al contained

ordered-β phase in Ti-Al binary system. The measured lattice parameters a and c are

respectively 0.7813 nm and 0.4876 nm, indicating that Al in solid solution of Laves C14 phase compresses the HCP lattice compared with the original one (TiMn2 Laves C14 in

Ti-Mn binary system) [3.34].

There was no unidentifiably phase in experiments. Multiple EDXS point analyses

(>5) were performed for each phase. The phase compositional analysis results were summarized in Table 3.3 and used to plot experimental isothermal sections in section 3.7.

44

Figure 3.6 DSC signal and derivative curves of Sample 12 through heating. The dashed lines are applied to determine the onset temperatures.

45

3.6.2 Differential scanning calorimetry

The DSC result for Ti-2.24Al-48.94Mn (at.%) alloy is shown in Figure 3.6. The

two curves represent DSC heat flow signal and the correlated derivative of temperature respectively. As can be seen, an endothermic peak and an exothermic peak appear during

heating, indicating two phase transition temperatures. The first transformation

temperature is considered as the onset point in the DSC signal curve defined by the

intersection of the tangential lines between inflection point and plateau, which is 857°C.

But since the second transformation is lack of the plateau to determine the onset point, the inflection point to estimate the boundary between two peaks, and therefore can be regarded closer to the actual phase transition temperature, which is 968°C. And at the end of the signal curve, a sharp endothermic drop is observed indicating that the solidus has been reached and the specimen starts to melt. The starting temperature of the endothermic

drop is considered as the solidus of the specimen, which is 1188°C. The DSC result will

be used to assess and compare with the thermodynamic description in section 3.7.

3.7 Discussions

3.7.1 Binary systems

As mentioned by Chen et al [3.25], three binary systems in the Ti-Al-Mn system

have already been fully assessed by Witusiewicz, Du, and Saunders [3.28-3.30] with the

most recent experimental data. Therefore, in this work, all binary parameters in the

46

thermodynamic model are inherited and not reassessed. The assessment in this work includes only the modification of current ternary parameters.

3.7.2 Ti-Al-Mn ternary system

The phase equilibria in the Ti-Al-Mn ternary system at 1000°C, 1150°C, 1200°C, and 1300°C have been examined based on equilibrated alloy experiments in this

investigation and literature [3.18, 3.20-3.24]. The experimental results from literature

included phase equilibria, DTA, and XRD. It should be noted that not all literature data is used in the assessment due to the reasons discussed in section 3.1. The literature experimental results with less confidence are only applied as indirect references to check the post-assessed results. Figure 3.7 to Figure 3.12 show the recalculated isothermal sections with the experimental data at 1000°C, 1150°C, 1200°C, and 1300°C respectively

(Figure 3.7 includes comparison between [3.25] and this work). With the experimental data from this investigation, it can be found that compared with the starting thermodynamic description [3.25], a better agreement has been reached for multiple two- phase and three-phase regions between α, β, L10, Ti3Al, Laves C14, and L12. The

assessment in this investigation specially focuses on the three phase regions (β + L10 +

Laves C14), (β + L10 + Ti3Al), and (Laves C14 + L10 + L12). It should be noted before

the discussion that the XRD experimental data from references [3.22-3.24] are considered

less accurate due to their experimental methods described in the literature. Their

homogenization and heat treatment times are too short to reach phase equilibria. 47

Therefore, in the assessments, the experimental data from references [3.18, 3.20, 3.21] are considered of preference, while the ones from references [3.22-3.24] are only applied to check the relative accuracy of the assessments.

48

[3.21] and this work

[3.20]

Continued

Figure 3.7 Comparison between the calculated Ti-Al-Mn 1000°C isothermal sections from (a) base thermodynamic description [3.25] and (b) this work with phase equilibria data from this work, [3.20] and [3.21].

49

Figure 3.7 continued

[3.21] and this work

[3.20]

50

[3.20]

Figure 3.8 Calculated Ti-Al-Mn 1200°C isothermal section with phase equilibria data from [3.20].

51

[3.20]

Figure 3.9 Calculated Ti-Al-Mn 1300°C isothermal section with phase equilibria data from [3.20].

52

Figure 3.7 to Figure 3.9 show the calculated isothermal sections of 1000°C,

1200°C, and 1300°C with the experimental results based on the phase equilibria method.

It can be seen that the three-phase regions, (β + L10 + Laves C14), (β + L10 + Ti3Al), and

(β + Laves C14 + L12), are given with high priority to fit the experimental data. As

shown in Figure 3.7, the experimental result of (β + L10 + Laves C14) in this work

closely resembles the experimental data from reference [3.21], which also proves the

reliability of the phase equilibria method. Especially, as compared in Figure 3.7 between

the thermodynamic description in reference [3.25] and this work, all phases related to Ti- rich region are precisely predicted in this work.

Figure 3.10 to Figure 3.12 show the calculated isothermal sections of 1000°C and

1150°C with the XRD data from literature. It can be seen that, compared with the thermodynamic description in reference [3.25], the assessed one is more consistent for most three-phase data points, which are all associated with Laves C14 and L12 phases.

However, as mentioned above, due to the related experimental procedures described in the literature, the XRD data is used for comparison, not for performing the assessment.

53

[3.22]

Figure 3.10 Calculated Ti-Al-Mn 1000°C isothermal section with XRD data from [3.22].

54

[3.23]

Figure 3.11 Calculated Ti-Al-Mn 1000°C isothermal section with XRD data from [3.23].

55

[3.24]

Figure 3.12 Calculated Ti-Al-Mn 1150°C isothermal section with XRD data from [3.24].

56

[3.24]

Figure 3.13 Calculated Ti = 25 at.% isopleth with experimental data from [3.24].

57

Table 3.2 Multiple phase transition temperatures from DSC and ThermoCalc based on assessed database. Temperature is in the unit of °C.

Phase Transition Phase Transition Phase

region 1 Temp. 1 region 2 Temp. 2 region 3 α-TiMn + β DSC 856.703 β-TiMn + β + 967.917 β + + Laves Laves C14 Laves C14 Calculated C14 867.834 998.640

Transition Phase

Temp. 3 region 4 DSC 1188.000 Liquid+ β Calculated 1200.300

Table 3.3 Design of experiments and measured EDX phase compositions (at.%)

Measured Phase 1 Phase 2 Phase 3 Point specimen Al Mn Al Mn Al Mn Al Mn 1 23.11 2.33 25.50 0.00 20.06 4.41 N/A 2 23.02 2.33 25.42 0.00 19.66 4.41 N/A 3 27.88 4.34 29.04 2.37 26.05 8.43 N/A 4 34.96 4.08 34.09 9.73 34.91 4.09 N/A 5 39.85 17.07 35.37 30.93 34.85 13.67 45.74 5.12 6 40.36 5.19 46.00 3.00 35.20 7.80 36.90 3.60 7 51.50 9.30 43.90 23.30 54.30 4.50 N/A 8 21.30 30.40 18.20 43.80 23.67 19.40 N/A 9 56.10 12.80 43.50 23.40 54.02 6.00 60.06 12.04 10 18.83 37.08 16.11 46.48 22.49 20.71 N/A 11 22.37 31.28 18.82 44.64 24.46 19.83 N/A * This specimen is for DSC experiment and does not 12 2.24 48.94 have phase composition measurements

58

Figure 3.13 shows the assessed 25 at.% Ti isopleth with the experimental data

[3.24]. It can be seen that except for the liquidus temperature, the calculated result is

sufficiently accurate. It should also be noted that according to Mabuchi et al. [3.24], the

liquidus was taken from the peak temperature of DTA signals (no DTA curves were

reported in the original article). In order to assess the liquidus, the endpoint temperatures

should be considered instead of peak temperatures. Therefore, in reference 3.24, the

liquidus temperatures might be underestimated.

Table 3.2 compares the DSC results with calculated phase transition temperatures

for Ti-2.24Al-48.94Mn. The results show good agreement between the experimental data

and calculations from the assessed database, giving credibility to the accuracy of the 3-

phase region (β + L10 + Laves C14) in the assessed database.

3.8 Conclusion

Based on the previous thermodynamic assessments for the Ti-Al-Mn ternary

system, the thermodynamic description is accurately reassessed specifically for the Ti-

rich region depending on the phase equilibria experimental results. These combinatory

experimental and thermodynamic assessments have provided reliable CALPHAD results

for designing Ti-Al-Mn-based new cost-effective titanium alloys. Based on the

experimental-based assessments, the following major achievements have been drawn:

59

(1) The Ti-Al-Mn ternary system is refined based on the latest experimental results,

especially with new experimental data for the Ti-rich corner from this work,

which is valuable for updating the current commercial titanium thermodynamic

databases.

(2) The presence of L12 phase is directly proved with both microstructure

morphology and crystal structure observations, including the precisely measured

lattice parameter a = 0.3723 nm. The TEM work in this study clearly shows its

cubic crystal structure.

(3) The maximum solubility limits of aluminum and manganese in β-Ti phase region

are modified, indicating a lower β-Ti phase stability limit with increased amount

of aluminum and manganese. These alternations are important for maximizing

alloying effects in Ti-rich Ti-Al-Mn alloy design.

(4) The maximum solubility limits of manganese in Ti3Al and (α + Ti3Al) phase

regions are modified, showing a higher Ti3Al phase stability with increased

manganese content. This alternation is important for designing both titanium

alloys with dilute-Mn content and γ-TiAl alloys. While the former could possibly

introduce certain amount of Ti3Al for precipitation strengthening, and the latter

applies Ti3Al as the main strengthening phase.

(5) The updated thermodynamic description of the Ti-Al-Mn ternary system will be

essential for the determination of Ti-Al-Mn-based n-ary (>=4) thermodynamic

systems for multicomponent low cost titanium alloy design.

60

3.9 References

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2NbXD sub-element specimens, Intermetallics, 80 (2017) 33-39.

[3.7] K.K. Murthy, S. Sundaresan, Effect of microstructural features on the fracture

toughness of a welded α+β Ti-Al-Mn alloy, Eng Fract Mech, 58 (1997) 29-41.

[3.8] M.K. Keshava, N.C. Sekhar, S. Sundaresan, Thermomechanical processing of

welded α+β Ti-Al-Mn alloy and its effect on microstructure and mechanical

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Ti-Al-Mn alloy in relation to microstructural features, Mater Sci Eng A, 222

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[3.10] X. Fang, J. Zhang, Effect of underfill defects on distortion and tensile properties

of Ti-2Al-1.5Mn welded joint by pulsed laser beam welding, Int J Adv Manuf

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[3.11] X. Fang, H. Liu, J. Zhang, Microstructure and mechanical properties of pulsed

laser beam welded Ti-2Al-1.5Mn titanium alloy joints, J Mater Eng Perform, 23

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[3.12] Z. Ma, G. Tong, F. Chen, Tensile properties and fractorgraphs of Ti-2.5Al-

1.5Mn foils at different temperatures, Rare Metals, 36 (2017) 247-255.

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Fe additions on the microstructure and mechanical properties of a Ti-Al-Mn

alloy, Int J Mod Phy B, 23 (2009) 783-789.

[3.14] A.V. Mikhaylovskaya, A.O. Mosleh, A.D. Kotov, J.S. Kwame, T. Pourcelot, I.S.

Golovin, V.K. Portnoy, Superplastic deformation behaviour and microstructure

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[3.16] R.F. Domagala, W. Rostoker, The system titanium-aluminum-manganese, Trans

Am Soc Met, 1954 Reprint No.4.

[3.17] C.J. Butler D.G. McCartnery, C.J. Small, F.J. Horrocks, N. Saunders,

Solidification microstructures and calculated phase equilibria in the Ti-Al-Mn

system, Acta Mater, 45 (1997) 2931-2947.

[3.18] C.J. Butler D.G. McCartnery, An experimental study of phase transformations

and a comparison with calculated phase equilibria in Ti-Al-Mn alloys, Acta

Mater, 46 (1998) 1875-1886.

[3.19] C.J. Butler D.G. McCartnery, Phase transformations and phase equilibria in a Ti-

37%Al-20%Mn alloy, Intermetallics, 7 (1997) 663-669.

[3.20] R. Kainuma, Y. Fujita, H. Mitsui, I. Ohnuma, K. Ishida, Phase equilibria α(hcp),

β(bcc) and γ(L10) phase in Ti-Al base ternary alloys, Intermetallics, 8 (2000)

855-867.

[3.21] Z. Chen, I.P. Jones, C.J. Small, Laves phase in Ti-42Al-10Mn alloy, Scr Mater,

35 (1996) 23-27.

[3.22] H. Mabuchi, K.I. Hirukawa, Y. Nakayama, Formation of structural L12

compounds in TiAl3-base alloys containing Mn, Scr Metall, 23 (1989) 1761-

1766. 63

[3.23] Y. Nakayama, H. Mabuchi, Formation of ternary L12 compounds in Al3Ti-base

alloys, Intermetallics, 1 (1993) 41-48.

[3.24] H. Mabuchi, A. Kito, M. Nakamoto, H. Tsuda, Y. Nakayama, Effects of

manganese on the L12 compound formation in Al3Ti-base alloys, Intermetallics,

4 (1996) 193-199.

[3.25] L.Y. Chen, C.H. Li, A.T. Qiu, X.G. Lu, W.Z. Ding, Q.D. Zhong, Calculation of

phase equilibria in Ti-Al-Mn ternary system involving a new ternary

intermetallic compound, Intermetallics, 18 (2010) 2229-2237.

[3.26] D.J. Chakrabarti, Phase stability in ternary systems of transition elements with

aluminum, Metall Trans B, 8B (1977) 121-123.

[3.27] X. Yan, X. Chen, A. Grytsiv, P. Rogl, R. Podloucky, H. Schmidt, G. Giester, X.

Ding, On the ternary Laves phases Ti(Mn1-xAlx)2 with MgZn2-type,

Intermetallics, 16 (2008) 16-26.

[3.28] V.T. Witusiewicz, A.A. Bondar, U. Hecht, S. Rex, T.Y. Velikanova, The Al-B-

Nb-Ti system III. Thermodynamic re-evaluation of the constituent binary system

Al-Ti, J Alloys Compd, 465 (2008) 64-77.

[3.29] Y. Du, J. Wang, J.R. Zhao, et al, Reassessment of the Al-Mn system and a

thermodynamic description of the Al-Mg-Mn system, Z Metallkd, 98 (2007)

855-71.

64

[3.30] I. Ansara, A.T. Dinsdale, M.H. Rand (Eds.), COST507, Thermochemical

database for light metal alloys, vol. 2, European Commission, EUR18499EN,

Luxembourg, 1998, 241-244.

[3.31] A.T. Dinsdale, SGTE data for pure elements, Calphad, 15 (1991) 317-425.

[3.32] D. Fruchart, J.L. Soubeyroux, R. Hempelmann, Neutron diffraction in Ti1.2Mn1.8

deuteride: structural and magnetic aspects, J. Less-common Met, 99 (1984) 307-

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to CALPHAD and ICME Approaches, Calphad, 49 (2015) 6-22.

65

Chapter 4 . Development of Lightweight Casting Titanium Alloy, Ti-6Al-5Fe-0.05B- 0.05C

4.1 Introduction

Titanium alloys started to attract interests as potential lightweight structural materials due to the intermediate temperature properties since 1960’s [1.1]. The relatively high weight-specific properties make titanium alloys ideal for weight-sensitive applications such as aeronautics engines [1.2]. However, its application in civil area is still scarce because of the high manufacturing cost. Currently, Ti-6Al-4V (wt.%) alloy dominates about 50% of titanium products including castings [1.3], although it was designed for wrought applications only but not optimal for other manufacturing processes. In this investigation, the net-shape and near-net-shape processes are considered. Compared with wrought process, these techniques have cost advantages in producing complex geometry components due to the exclusion or limited machining step as briefly mentioned in Chapter 1, which costs significantly for titanium alloys.

Therefore, it is necessary to design new low cost casting titanium alloys, which is the target in this work.

As mentioned above, net-shape and near-net-shape processes are preferable for titanium alloys by avoiding metal removal cost [4.1]. As concerned of properties, titanium castings can potentially be competitive in mechanical properties with wrought 66

products at lower costs. For instance, Ti-6Al-4V has approximately the same monotonic loading strength for both casting and wrought-annealed products. But for crack growth

resistance and creep strength, wrought products can, while casting cannot, be further tailored by thermomechanical processing at additional cost. Thus, titanium castings are usually applied in structural applications without the requirements of dynamic but static properties, such as yield strength, ultimate tensile strength and toughness [1.4, 4.2]. But on the other hand, casting can be heat-treated to modify strength and ductility by engineering the microstructures. In this chapter, a new casting titanium alloy was developed for structural applications and addressed two challenges in titanium casting: castability and raw material costs.

In this investigation, Ti-6Al-4V was used as the baseline and comparison since it is currently the most widely applied titanium alloys in industry, including the casting, and well-documented for properties and microstructure characterizations as references. The raw material cost was addressed by changing the β stabilizing element vanadium to iron, the strongest β stabilizer and the cost-effective option. Ti-Fe system can also potentially decrease liquidus temperature and enlarge the liquidus-solidus gap as shown in Figure

2.2, which is favorable for casting processes. However, in the meantime, the introduction of iron will lead to significant solute segregation as well due to the eutectic nature of Ti-

Fe system, known as β fleck in titanium alloy, but might be alleviated by fast cooling rate in permanent mold casting. In this chapter, a combinatory experimental and CALPHAD approach was applied to develop a new Ti-Al-Fe alloy with both experimental and

67

thermodynamic basis in the as-cast condition. The content of this chapter has been published in Scripta Materialia [1.7].

4.2 CALPHAD approach and alloy determination

Multiple isopleths in Ti-Al-Fe system were calculated in order to get the phase equilibrium information with certain aluminum or iron compositions to determine the desired phases and their volume fractions. Since the goal of this investigation/project focuses on the cost reduction, aluminum and iron contents are ideally supposed to be included as much as possible to compensate the titanium cost. However, the involvement of aluminum and iron will increase the phase stabilities of three embrittlement phases, ordered β-Ti, Ti3Al and TiFe, which is the main restricting factor for their maximal

thresholds.

As shown in multiple isopleths with different aluminum contents in Figure 4.1,

the phase stability and relationship among α, β, and TiFe remains the same until

aluminum content reaches 7 wt.%. At 7 wt.% of aluminum, the Ti3Al starts to form at

intermediate temperature (~550°C). Since Ti3Al is not considered in this project due to its

brittle nature, aluminum content is preliminarily controlled at 6 wt.% to minimize its

formation. Multiple experimental investigations from literature also lead to the same

trend of aluminum alloying effect in titanium alloy, including the ordering of β-Ti into

B2 structure and the stability of Ti3Al. The ordering of β-Ti is shown in Figure 2.1 above

68

15 wt.% of aluminum in Ti-Al binary system, which should also be avoided due to its brittleness. This ordering phenomenon is observed at much lower aluminum compositions in Ti-V-Cr β-titanium alloy by Li et al. [4.3 and 4.4]. This order-disorder phase transformation was found at ~620°C with only 4 wt.% of aluminum in Ti-32V-

15Cr-5.6Al. As for the Ti3Al, similar approach was applied on Ti-25V-15Cr alloy, and the Ti3Al formation was observed within 2-4 wt.% by Li et al. [4.5].

As for iron, the same isopleth approach is applied as shown in Figure 4.2. The increase of iron content significantly increase the phase stability of TiFe, reflecting by the disappearance of α single phase region and its replacement of (α + TiFe) two phase region. Especially for the 6 wt.% aluminum content determined above, the disappearance of α single phase region will lead to the direct precipitation pathway of TiFe from primary β matrix and should be avoided. Therefore, the iron content is preliminarily controlled at 5 wt.%. As briefly illustrated in 2.1.2, iron is usually considered difficult to be involved in titanium alloys, especially for ingot metallurgy, due to its strong segregation effects in macro scale. However, in direct casting (from raw charge materials to casting cavity-fill without pre-alloying ingots) for small geometrical width/thickness, the solidification segregation is expected to be suppressed by fast cooling rate. Therefore, iron becomes one of the acceptable alloying elements. The alloying effect of iron in titanium alloy was carried during 1980-2000s. In 1980-90s, several α-β iron-contained titanium alloys were developed for hot working processes, such as Ti-2.5Al-5Fe [4.6],

TIMETAL 62S [4.7] and Ti-5.5Al-1Fe [4.8]. The Ti-Al-Fe system showed some potent

69

as the replacement of Ti-Al-V, but was still challengeable due to the segregation problem

mentioned above, which is common for eutectic β stabilizing elements. Fuji and

Takahashi [4.8] did a relatively comprehensive experimental investigation of the

mechanical properties on multiple Ti-Al-Fe alloys with thermomechanical treatments.

Iron was also investigated as addition for a few biomedical β titanium alloys, including

Ti-Mo-Fe [4.9] and Ti-Nb-Fe [4.10] systems. Phase analyses from both investigations

indicated that iron content promotes the formation of metastable ω phase in β titanium alloys and improvements in bending properties. However, both investigations are limited at experiments without further theoretical discussions for the iron effect. Despite of these experimental investigations above, there is no systematic investigation on Ti-Al-Fe system for the alloying behavior, thermodynamic descriptions, and thus no further development and applications of this alloy system.

70

1700 5Al 1600 Liquid 6Al 7Al 1500 Liquid + 1400

1300

1200

1100 T /C 1000

900 + TiFe 800 + + + TiFe 700

600

+ Ti Al (7Al) + Ti Al + TiFe (7Al) 500 3 3 01234567891011121314151617181920 wt.%(Fe)

Figure 4.1 Calculated Ti-(5, 6, 7)Al-xFe isopleths. Database: PanTi_2017

71

1700 Liquid 1600 Liquid + 1500 4Fe 5Fe 1400 6Fe

1300 + Ti3Al + 1200

1100

T /C + Ti Al 1000 3

900

+ Ti3Al + TiFe 800 +

Ti3Al + TiFe 700 (4Fe, 5Fe) + Ti3Al (4Fe, 5Fe) 600 + TiFe + Ti3Al + TiFe 500 01234567891011121314151617181920 wt.%(Al)

Figure 4.2 Calculated Ti-xAl-(4, 5, 6)Fe isopleths. Database: PanTi_2017

72

Boron and carbon were also involved for grain refinement and α-strengthening respectively. In multiple reported investigations [4.11-4.14], trace levels of boron and carbon were also included in this design to provide grain refinements and the solid solution strengthening effects since casting alloy usually contains large grain size that suppresses alloy properties compared with hot/cold-worked component. The significant grain refinement effect of boron in as-cast titanium alloys was investigated by Roy et al. in the baseline alloy Ti-6Al-4V [4.11], and in multiple aerospace β titanium alloys by

Tamirisadandala et al. [4.12], both showing refinement of primary α and β phases. As for the combined effect of boron and carbon, Banoth et al. [4.13] and Sarkar et al. [4.14] investigated this in multiple metastable β titanium alloys, which suggested that boron and carbon refined primary β grain and the following α platelet sizes correspondingly. Since grain refinement is in general favorable to improve mechanical properties [4.15], boron and carbon are included in trace levels (0.05 wt.% for both based on literatures) in this casting alloy design. The calculated phase equilibrium pathway of trace amount (wt.% for both boron and carbon) was shown in Figure 4.3. As can be seen, 0.05 wt.% of boron and carbon do not modify the phase stability by much in Ti-6Al-5Fe system except for introducing TiC and TiB precipitates. However, it is expected that they will modify the as-cast microstructure morphology. Judging from their formation sequences on the equilibrium pathway, TiB is likely to form with primary β grain and locate on grain boundaries because of the low solubility of boron in β-Ti. While TiC is not likely to form at low carbon content because of the relatively higher solubility of carbon in both α-Ti

73

and β-Ti, carbon might precipitate as TiC under some cases, but will more probably stay in α-Ti or β-Ti as solid solution strengthener. Since the boron and carbon effects are still scarce in experiments, different boron and carbon additions specimens were prepared to investigate as-cast microstructures. The as-cast microstructures show heavy aggregation of large intermetallic phases on the grain/dendritic boundaries with large boron and carbon additions in Figure 7.1. Therefore, in this alloy design, boron and carbon concentrations are remained low. These results are not strictly related to the alloy design in this chapter and sorted in the supplementary results in Chapter 7.

Another concern in titanium alloy design is the oxygen effect. As illustrated in

2.1.3, oxygen is an α stabilizer and can significantly harden α phase. Since oxygen cannot be avoided due to its strong adhesion on titanium, it needs to be evaluated. As shown in

Figure 4.4, the Ti-6Al-5Fe-0.05B-0.05C-xO isopleth is calculated. Oxygen does not show a strong effect on phase transformation temperatures in this system. However, it is expected that oxygen will affect the alloy strength level [1.1]. Therefore, the oxygen level is measured in the experiment to evaluate the oxygen contribution on the strength.

Based on the alloy design above, the equilibrium pathway of the nominal composition is calculated as shown in Figure 4.5. All phases in the equilibria are possible to appear in as-cast status depending on the specific kinetic conditions.

74

1700 Liquid 1600 Liquid + 1500

1400

1300 + TiB 1200

1100 + TiC + TiB T /C 1000

900 + + + TiB + TiC + + TiB 800

700 + TiB + TiC 600 + TiFe + TiC + TiB

500 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 wt.%(B, C)

Figure 4.3 Calculated isopleth of Ti-6Al-5Fe-xB-xC. Database: PanTi_2017.

75

1700 Liquid 1600 Liquid + 1500

1400

1300 + TiB 1200 T /C 1100

1000 + TiC + TiB 900 + + TiC + TiB 800

700 + TiFe + TiC + TiB 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 wt.%(O)

Figure 4.4 Calculated Ti-6Al-5Fe-0.05B-0.05C-xO isopleth. Database: PanTi_2017.

76

1

0.9

0.8

0.7

-Ti 0.6 TiC TiFe 0.5 -Ti Liquid 0.4 TiB

0.3

0.2 Volume Fraction of Phases 0.1

0 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 T /C

Figure 4.5 Calculated Ti-6Al-5Fe-0.05B-0.05C equilibrium pathway. Database:

PanTi_2017.

77

4.3 Sample preparation and microstructure characterization

The specimens with nominal composition Ti-6Al-5Fe-0.05B-0.05C (designated as

T65-0.05BC, wt.%) were prepared by induction skull melter under high purity Ar

atmosphere (ISM, PVT Inc., an InductoTherm Group company) using CP-2 titanium

(99.9%, ATI, Inc.), CP aluminum (99.9%, Alfa Aesar), CP iron (99.9%, Alfa Aesar),

TiB2 (99.5%, Alfa Aesar), and carbon slug (99.5%, Alfa Aesar). Each specimen was

flipped and re-melted four three times to ensure homogeneity. The oxygen content was

tested by Luvak Inc. with ASTM standard E1409-13. Microstructure characterization and

compositional analysis were conducted using Scanning Electron Microscopy (SEM),

Transmission Electron Microscopy (TEM), and Energy Dispersive Spectroscopy (EDS).

SEM experiments were conducted in an FEI Apreo microscope, operated at 30 kV.

Blanks for TEM foils were sectioned from as-cast specimens using a low speed diamond saw. The foils were mechanically ground to a thickness of about 100 µm. Final thinning and perforation of the TEM foils were completed by electro-polishing in an electrolyte containing 5% perchloric acid, 35% butyl cellosolve and 55% methanol at a temperature of -30°C and an applied voltage of 30 V. TEM characterization was performed on an image-corrected and monochromated Titan3 60-300 microscope equipped with a SuperX

EDS system and operated at 300 KeV.

78

Figure 4.6 Machined ASTM E8 tensile specimen

79

4.4 Differential scanning calorimetry

The differential scanning calorimetry (DSC) was conducted with the TA

Instrument SDT 650 in this investigation at OSU in order to evaluate the (α + β) and β transus. The specimen was placed in an alumina crucible with an empty alumina crucible as reference. The specimen chamber is evacuated and constantly flowed with argon gas.

The empty alumina crucible was tested before the sample to obtain the baseline, which was deducted for the results of the sample. The DSC instrument, namely the thermocouple, has been calibrated regularly. The calibration process includes both the temperature and sensitivity calibrations, which are specific to the crucible, the heating rate, and the protective gas. The temperature calibration eliminates the deviation between the temperature measured by the thermocouple and the actual temperature of the sample.

Sensitivity correction ensures the accurate conversion between thermocouple signal and heat flow power. The chamber temperature was increased from room temperature to

1100°C at the rate of 20°C/min.

4.5 Mechanical property test

The machined ASTM E8 specimen from as-cast ingots was shown in Figure 4.6.

The gauge length is 25.4 mm and the gauge diameter is 4 mm. The tensile tests were

conducted with MTS tensile frame (MTS Criterion Model 32) at room temperature with

the displacement rate controlled at 0.004 mm/s (steady state). Three tensile tests were

80

conducted. The average tensile properties and representative true stress-strain curves were reported.

4.6 Results and discussion

4.6.1 Microstructure characterization

Figure 4.7 exhibit the SEM images of as-cast T65-0.05BC specimens with different magnifications. It can be seen that in the as-cast microstructure, the intragranular α phases are fine platelets but in neither basketweave nor lamellar forms.

The grain boundaries are also free from continuous α platelets and precipitation-free zone

(PFZ). The morphology on grain boundaries are discrete ellipsoidal α phases and small intermetallic particles, which are likely TiB since boron has very limited solubility in either α or β phases. It should be noted that in between the primary α platelets, the ultra- fine α precipitates are observed with both SEM and TEM in Figure 4.7 and Figure 4.8(a) and (b), assumed to be secondary α precipitation from β matrix. Their morphology is similar to the duplex microstructure in α-β titanium alloys, except they are smaller (with average width of 36 nm). The formation of secondary α phase in the as-cast status is usually unexpected in conventional titanium alloys, which are commonly achieved by low temperature heat treatment or hot working [1.1]. The hypothetical cause for the formation of this fine secondary α phase is the strong iron partitioning in titanium alloy shown in Figure 2.2. The high-temperature saturated post-primary-α β matrix becomes super-saturated at low temperatures during cooling, leading to the driving force for

81

precipitation of the secondary α, and the fast diffusivity of iron ensures that this process

is kinetically possible. Based on this hypothesis, this process should be diffusion-

controlled and the secondary-α-β interface should have a strong iron concentration

gradient. The HAADF-STEM image and correlated SETM-EDS scans of the as-cast

microstructure in Figure 4.8 partially confirms the strong partitioning of iron in between

α and β phases in this alloy. It can be seen that compared with aluminum, the partitioning effect of iron is very strong, resulting in a close-zero concentration in α phase.

Additionally, the aggregation of iron content at the α-β interface also indicates that a fast kinetic process triggers the as-cast phase transformation. Since the secondary α phase is

too fine for the EDS resolution, atomic probe tomography is preferred to further

investigate and confirm the partitioning in secondary α phase formation.

82

Figure 4.7 SEM images of as-cast Ti-6Al-5Fe-0.05B-0.05C under different magnifications

83

Figure 4.8 STEM characterization of the microstructure of Ti-6Al-5Fe-0.05B-0.05C: (a)

Bright field STEM image with a inserted selected area diffraction pattern showing the

Burgers orientation relationship between α and β phase, (b) HAADF-STEM image, (c)

STEM EDS maps, and (d) STEM EDS line.

84

4.6.2 As-cast tensile property

The representative as-cast true stress-strain curve of T65-0.05BC is shown in

Figure 4.9, while Table 4.1 compares the tensile properties with three other as-cast α-β titanium alloys. The reported mechanical properties of T65-0.05BC in Table 4.1 are mean values with standard deviations from all three tests. The results show that the as-cast T65-

0.05BC possesses relatively higher yield and ultimate tensile strengths than as-cast Ti-

6Al-4V, Ti-6Al-4V ELI, and Ti-5Al-2.5Fe alloys. This increase in strength can be attributed to the fine α platelets and ultra-fine secondary α precipitates as shown in Figure

4.7 and Figure 4.8. It should also be noted that the oxygen content in this alloy, 0.061 wt.%, is considered lower than common commercial titanium alloys [1.1]. Since oxygen is generally regarded to have a strong effect, this alloy is capable of reaching higher strength with typical commercial oxygen level (0.2 wt.%) [1.1]. However, the formation of this secondary α during cooling is uncommon in α-β titanium alloys, where it is usually achieved via the combination of an intermediate solution heat treatment followed by a lower temperature aging treatment [1.1]. Different heat treatments can be applied to tailor the fractions of primary and secondary α and β phases in order to adjust the strength-ductility balance for specific applications in this alloy. A β-annealing attempt is conducted in this investigation. It should be mentioned that this alloy can not only be used for casting applications, but also for powder production and subsequently powder metallurgy for additive manufacturing since its β→α phase transformation can occur under even fast cooling condition.

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Figure 4.9 ASTM E8 tensile result of as-cast Ti-6Al-5Fe-0.05B-0.05C

Table 4.1 Tensile properties of as-cast Ti-6Al-5Fe-0.05B-0.05C in comparison with as- cast Ti-6Al-4V [4.16], Ti-6Al-4V-ELI [4.16] and Ti-5Al-2.5Fe [4.17, 4.18].

As-cast Yield Strength Ultimate Tensile Strength Elongation Material (MPa) (MPa) (%) Ti-6Al-5Fe- 102320 113640 3.710.13 0.05B-0.05C Ti-6Al-4V 895 1000 8 Ti-6Al-4V ELI 825 896 10.5 Ti-5Al-2.5Fe 820 900 6.0 86

4.6.3 (α + β) and β transus

As shown in Figure 4.10, the onset and offset points of the β transus peak are

marked. The onset and offset temperatures should correspond with the (α + β)

transformation temperature and the β transus respectively. The β transus is close to

CALPHAD prediction, while the (α + β) transformation temperature is higher than the

calculation. This could potentially be due to the thermodynamic description of TiFe

phase in PanTi database. As can be seen in Figure 4.1, there is a (α + β + TiFe) phase

region below the (α + β) phase region. This region exists in the isopleth because the TiFe

phase in PanTi database is described as an independent intermetallic phase. However, in

recent thermodynamic assessment [4.19], TiFe phase should be regarded as an ordered

BCC_B2 phase described together with β-Ti, which should eliminate this 3-phase region,

and further raise the calculated (α + β) transformation temperature.

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Figure 4.10 DSC signal curve of T65-0.05BC through heating. The dashed lines are applied to determine the onset and offset temperatures.

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4.7 Conclusion

In summary, the preliminary results have shown a new cost-effective cast titanium

alloy Ti-6Al-5Fe-0.05B-0.05C. The substitution of Fe for V significantly reduces the raw

material cost, and the Ti-Al-Fe alloy system has characteristics for good castability

according to CALPHAD calculations. The micro-tension test results show that this new

alloy has very high strength due to the primary α lamellae and ultra-fine secondary α

precipitates. The strong partitioning of Fe to the -phase was demonstrated. It is believed

that the strength-ductility balance of the new alloy can be tailored by heat treatment and thermomechanical processing, adjusting the fractions of α (primary or secondary) and β phases, for various applications. Better manufacture process shall be further investigated to acquire improved as-fabricated microstructure and properties, and will also be beneficial for further processing.

4.8 References

[4.1] F.H. Froes, D. Eylon (eds.), Titanium Net Shape Technologies, TMS,

Warrendale, 1984.

[4.2] D. Eylon, F.H. Froes, Titanium Casting - A Review, Titanium Net Shape

Technologies, in: F.H. Froes, D. Eylon (Eds.), Titanium Net Shape

Technologies, TMS, Warrendale, 1984, pp. 155-178.

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[4.3] Y.G. Li, X.D. Zhang, P.A. Blenkinsop, N. Saunders, N.A. Walker, P.D. Spilling,

C. Small, in Titanium `95: Science and Technology, the Proceedings of the 8th

World Conference on Titanium, ed. P. A. Blenkinsop, E. J. Evans and H. M.

Flower. Institute of Materials, 1996, pp. 2317–2324.

[4.4] Y.G. Li, P.A. Blenkinsop, M.H. Loretto, N.A. Walker, Effect of alul11iniul11on

ordering of highly stabilised beta-Ti-V-Cr alloys, Mater. Sci. Technol., 14

(1998) 732-737.

[4.5] Y.G. Li, P.A. Blenkinsop, M.H. Loretto, N.A. Walker, Structure and stability of

precipitates in 500°C exposed Ti–25V–15Cr–xAl alloys, Acta Mater, 46 (1998)

5777-5794.

[4.6] K.H. Borowy, K.H. Kramer, in: G. Lütjering et al. (Eds.), Titanium Science and

Technology, Deutsche Gesellschaft für Metallkunde E.V., 1985, pp. 1381-1386.

[4.7] P.J. Bania, A.J. Hutt, R.E. Adams, W.M. Parris, in: F.H. Froes, I.L. Caplan

(Eds.), Titanium ‘92 Science and Technology, TMS, Warrendale, 1993, pp.

2787-2794.

[4.8] H. Fujii, K. Takahashi, Nippon Steel Tech. Rep,. 85 (2002) 113-117.

[4.9] D.J. Lin, J.H.C. Lin, C.P. Ju, Structure and properties of Ti–7.5Mo–xFe alloys,

Biomaterials, 23 (2002) 1723-1730.

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[4.10] H.C. Hsu, S.K. Hsu, S.C. Wu, C.J. Lee, W.F. Ho, Structure and mechanical

properties of as-cast Ti-5Nb-xFe alloys, Materials Characterization, 61 (2010)

851-858.

[4.11] S. Roy, S. Suwas, S. Tamirisakandala, D.B. Miracle, R. Srinivasan,

Development of solidification microstructure in boron-modified alloy Ti–6Al–

4V–0.1B, Acta Mater, 59 (2011) 5494-5510.

[4.12] S. Tamirisakandala, R.B. Bhat, J.S. Tiley, D.B. Miracle, Processing,

microstructure, and properties of β titanium alloys modified with boron, J.

Mater. Eng. Perform., 14 (2005) 741-746.

[4.13] R. Banoth, R. Sarkar, A. Bhattacharjee, T.K. Nandy, G.V.S. Nageswara Rao,

Effect of boron and carbon addition on microstructure and mechanical properties

of metastable beta titanium alloys, Mater. Des., 67 (2015) 50-63.

[4.14] R. Sarkar, P. Ghosal, T.K. Nandy, K.K. Ray, Structure–property correlation of a

boron and carbon modified as cast β titanium alloy, Philos. Mag., 93 (2013)

1936-1957.

[4.15] F.A. Crossley, Grain refinement of titanium alloys, U.S. Patent No. 4420460,

1983.

[4.16] E.E. Billinghurst, Jr., NASA Tech. Pap., 3288 (1992) 9-10.

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[4.17] R. Boyer, G. Welsch, E.W. Collings (eds.), Materials Properties Handbook:

Titanium Alloys, ASM International, Materials Park, 1994.

[4.18] J. Black, G. Hastings (eds.), Handbook of Biomaterial Properties, Chapman &

Hall: London, New York, 1998.

[4.19] H. Bo, J. Wang, L. Duarte, C. Leinenbach, L. Liu, H. Liu, Z. Jin,

Thermodynamic re-assessment of Fe-Ti binary system, Trans. Nonferrous Met.

Soc. China, 22 (2012) 2204-2211.

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Chapter 5 . Manufacture of Lab-scale Prototype Casting Automotive Connecting Rod

5.1 Introduction

In this investigation, the new low-cost casting titanium alloy developed in Chapter

4 will be conducted with casting manufacture process, which is a low-cost manufacture process preferred by civil application, such as automotive industries. Since civil application requires massive production, the current precision casting techniques mentioned in Chapter 2 do not meet the industrial cost consideration and must be modified for lower cost. The specific application, the automotive engine connecting rod, is required by the industrial partner of this project, General Motors. And the permanent mold casting technique is applied as the low cost casting option and optimized accordingly to meet the requirement for titanium casting.

In this chapter, a lab-scale casting manufacture framework is illustrated, including equipment and mold design, OSU facility setup, casting simulation, melting and casting operations, and the ballpark manufacture cost analysis.

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5.2 Lab-scale manufacture casting framework setup

This section will illustrate the concept of this lab-scale casting framework, the melting/casting equipment design, the permanent mold concept and design, and equipment installation in OSU facility.

5.2.1 Basic concept of the framework

As mentioned in Chapter 1, this investigation is motivated by the idea of low cost alloy production, so the design of casting manufacture process is also cost-directed. The casting process can be generally considered as two steps: melting and casting.

Specifically, for titanium alloys, as mentioned in section 2.2.1, there are not many choices for the melting technique since the molten titanium is at high temperature and has high reactivity, and thus requires to be processed in vacuum or inert atmosphere with

CHM setup. In this project, for the convenience of setup in OSU facility, the small ISM is chosen as the melting option. As for the casting techniques, the current mature ones, rammed graphite casting and investment casting, both have the cost disadvantages.

Although these two casting methods provide more efficient and economical ways of producing large volumes of titanium components, there are still problems remaining for these two methods. Both conventional rammed graphite mold casting and investment casting definitely can produce very complex shape, yet the entire procedure is complex compared with permanent mold casting for massive production. The other significant impedance in these two techniques is the non-permanent mold setup. In both techniques, each cycle of casting production requires a repeated molding process because the mold

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cannot be reused, and it significantly increases the cost of casting operation, raising the

energy and labor cost. Therefore, in the concept of this framework, the permanent metallic mold casting is determined in order to address the cost issue in molding, which is the most important concept in this investigation.

There are a few challenges in applying the permanent metallic mold casting to titanium alloys, mainly due to the high reactivity and viscosity of the titanium melt. For high reactivity, lowering the melting temperature is an efficient way to decrease the potential interaction between the molten metal and metallic mold, which is introduced in

Chapter 2 and addressed during alloy design in Chapter 4. As for viscosity, in general, the viscosity of titanium alloys is roughly five times of the one of aluminum and magnesium alloy [5.1, 5.2]. The viscosity is limited by the nature of the solvent element, and cannot be modified in numbers of magnitude by alloy design. The only possibility is to raise the melt temperature, which is dependent on the melting and molten metal transfer techniques. This topic is not within the scope of this project and therefore not addressed.

5.2.2 Equipment and mold design

The equipment concern in this framework is mainly about the choice of melting

technique since the casting/molding technique is already determined to be permanent

metallic mold casting. For the current melting techniques listed in Chapter 2, multiple

manufacturers were consulted and ISM was determined as the finalized option. This is

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mainly due to the budget and facility spatial limitation on OSU site. The other two CHM techniques, PCHM and EBCHM, are beyond the budget of the project (~$1.6m) and

cannot be spatially installed in OSU foundry. ISM, on the contrary, is small in size and sufficient in melting lab-scale volume to produce conceptual prototype parts for laboratory validation purpose.

The permanent metallic mold casting in this project was modified into a high- temperature ceramic-coated permanent mold casting. This design is inherited from the

ceramic mold concept from the investment casting. The high temperature ceramic mold

in the investment casting is used for multiple reasons, including low reactivity with the

molten titanium, and low heat transfer rate enhancing filling fluidity. Therefore, in this

project, instead of ceramic molding, a thin layer of ceramic coating is applied with air

spraying on the permanent metallic mold to prevent the reaction between the mold and

molten metal. The detailed design applied common H13 tool steel as the mold and

zirconia (ZrO2) as the coating material. A number of studies were carried in the

investment casting field to investigate different ceramic compounds as molding materials

[5.3-5.6]. Based on the industry need for molten metal reactivity and cost compensation, different coating materials can be applied in the industry-scale production. The pre- casting and post-casting mold pictures are shown in Figure 5.1. As can be seen, the mold was not damaged from molten metal contact, but the coating was peeled off from the mold surface. This is potentially due to the poor adhesion from the air spraying technique. The common coating spraying technique in industry is thermal spraying,

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which should provide better adhesion with mold surface and allow the ceramic coating to endure multiple casting cycles. The mold geometries are two-halves of a connecting rod and casted separately.

5.2.3 OSU facility setup

The OSU facility lab-scale manufacture framework setup is referred to the installation of ISM melting-casting furnace. The ISM melting-casting furnace was designed and manufactured by PVT Inc., an InductoTherm Group company, in which several key concepts were determined by the OSU team to meet the requirements in the project and installation needs in OSU facility. The overall picture of this unit and several details are shown in Figure 5.2. The main features of this unit compose of a 500g capacity (referring to titanium alloys) ISM system, a resistance mold heating unit, and a mechanical tilting system. The first two features are both located inside a vacuum chamber capable of reaching high vacuum for titanium melting, and the last one allows the ISM system to be tilted to gravity-pour the molten metal into the mold.

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Figure 5.1 (left column) Pre-casting mold with ZrO2 coating of (top to bottom) top half and bottom half, and (right column) post-casting mold pictures of (top to bottom) top half, bottom half, and core

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DI water‐cooled copper crucible

Funnel & Mold Location

Resistance mold heater

Figure 5.2 (top) OSU facility ISM-Casting furnace and (bottom) layout in the vacuum chamber 99

A few features were considered in this melting/casting setup in ahead, but

abandoned due to the budget limitation. These features are listed below and can be

considered for further improvement or industry-scale production:

• Mold cooling system: allowing the mold to be cooled faster after the filling and

leading to better microstructure/final component properties

• Centrifugal filling-assisted system: allowing higher filling driving force and thus

faster/better filling performance

• Immersive pyrometer: in-time monitoring of melt temperature

• Computer-controlled tilt-pour system: allowing precise control of the tilt-pour in

the casting operation, and enhancing the stable repeatability of the process

5.3 Casting simulation

In this section, the casting simulation was conducted as an effort to introduce

computational method as guidance for manufacturing optimization. Based on the mold

design and actual casting setups in the previous section, the casting model was

constructed and simulated with the commercial casting simulation code, EKK

CAPCAST, in order to predict the casting performance of T65-0.05BC alloy in the metallic permanent mold casting, including cavity filling, solidification sequences, and temperature profiles. The selected results are shown in Figure 5.3. The filling velocity, 100

solidification, and flow simulation shall reveal any potential inhomogeneity in molten

metal flow and hot spot, which are potential sources for gas entrapment and shrinkage defects. These imperfections cannot be completely eliminated but can be maximally avoided by reducing the gradients around the high intensity locations in the contours. Due to the lack of parameters for the new alloy and mold coating effect, the simulation results might not reflect some details in this setup. However, the trend of filling and solidification is still useful in improving mold and process design.

5.4 Prototype casting in OSU facility

In this section, the details of the melting-casting process will be illustrated, including parameters for power, pouring and post-casting operations.

5.4.1 Raw materials

In order to ensure that the process is similar to industrial process, it is necessary to use commercial pure grade raw materials instead of high purity ones used for alloy design in Chapter 3. In this process, the raw materials are CP-2 titanium (99.9%, ATI Metals),

CP aluminum (99.9%, Alfa Aesar), CP iron (99.9%, Alfa Aesar), TiB2 (99.5%, Alfa

Aesar), carbon slug (99.5%, Alfa Aesar). In the recommendation for further

industrialization/commercialization of the process, the CP iron and carbon slug shall be

replaced with certain recycled steel scraps.

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Figure 5.3 EKK simulation of (top row) final temperature/solidification and (bottom row) filling time

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5.4.2 Melting operation

In this process, the raw materials were stacked inside the DI water cooled copper

crucible and melted in the induction field. The stacking of raw materials is designed as

shown in Figure 5.4 in order to reach maximal coupling between induction field and

materials. The pure titanium bars, the highest melting point charge material, accounted

for most mass of the alloy and was placed starting from the bottom of the crucible to

make sure that it was located at the strongest position in the induction field. The

aluminum buttons and iron granules were placed on the top of titanium to ensure that

they fell into the molten titanium but not reach the bottom of the crucible first and

instantly solidified. As for TiB2 and carbon slug, due to their trace amounts and powder-

nature, they were placed among titanium bars to prevent from splashing out of the

crucible by induction stirring.

The melting operation started with the pre-heating of the raw materials to avoid

thermal explosion due to partial heating of the raw materials. The thermal explosion can

cause safety issues in the operation and also lead to splashing of the molten metal, resulting in inaccuracy of the alloy composition. The power of the induction power output was set at 10 kW (20% of maximal power) for 15-20 minutes. From the observation port on the chamber, the pre-heating should be done once the heat radiation

(glowing) of the charge materials was well distributed. Then the power should be gradually increased to maximal level, which is 50 kW for OSU equipment. As soon as the charge materials reached full molten state, it should be kept at the molten state for 10-

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15 minutes to ensure that the charge materials were completely melted. It must be noted that during the melting and casting process, the chamber should be vacuumed and back- filled with Ar to approximately 80 torr (roughly 1/10 of atmospheric pressure) to prevent aluminum evaporation during melting. The evaporation of aluminum could severely affect the final alloy composition.

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Crucible

CP‐2 Ti bars

TiB2 powder and C slug CP‐Fe granules CP‐Al buttons

Figure 5.4 Schematics of charge material stacking in DI-water-cooled copper crucible

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5.4.3 Casting operation

After the molten metal is stable and considered fully melted, the tilt-pour gravity casting is conducted with the preheated mold. In this investigation, the H13 metallic mold is preheated to 700°C to increase the molten metal fluidity as much as possible. Before tilting, the induction power is turned down to 25 kW (50% of max power) to prevent the molten metal splashing while keep the superheat as long as possible. Then the tilt needs to happen instantaneously to conduct the casting before the superheat dissipates. Since this tilt process in OSU facility is not computer-controlled, several “trial-and-error” practices are needed to acquire good casting. This process should have increasing repeatability with the computer-controlled system as mentioned in sub-section 5.2.3.

After the filling is finished, the mold heat power is turned off to let the mold cool down radiantly.

5.5 Casting results and post-assessments

The prototype casting is shown in Figure 5.5. Overall, the permanent metallic mold casting concept is successfully proven. The metallic mold is successfully filled under gravity-pour condition, which is the least-driving-force cavity filling condition.

And there are no significant unfilled or shrinkage portions, indicating that this process can be commercialized with even better performance.

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Several casting defects are observed on the component surface, including gas porosity

and surface roughness. These defects are due to the experimental measures applied in this project, and can be resolved by using mature techniques in industry setup. It should also be mentioned that the mold pre-heat temperature could be lower with the filling-assisted technique.

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Figure 5.5 Prototype casting T65-0.05BC connecting rod

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5.6 Manufacture cost analysis

The cost analysis includes three aspects: raw materials, energy and labor in

operations, and equipment. Only the first two aspects are counted in the final cost

analysis comparison. The preliminary equipment cost is listed as references and not

accounted in the overall analysis. The actual equipment cost analysis depends on the

detailed amortization plan by industry. Since the post-treatment of the new alloy is still

under investigation, this cost analysis does not include post-treatment estimation but only

as-fabricated.

5.6.1 Raw Materials

When estimating raw materials, the cheapest options are considered first to acquire the lowest potential cost. In this analysis, the raw materials cost are determined based on the available market prices of pure element, master alloy, and recycled alloy.

The raw materials analysis is shown in Table 5.1. As can be seen, the new titanium casting alloy is strongly competitive in raw materials cost with either conventional PM

stainless steel or Ti-64. However, it should be noted that the available market price for

P/M steel powder is based on the open import price from India, and the price in the

United States might vary depending on the suppliers. The effect of the actual P/M steel powder price is shown in Figure 5.6 after the final cost analysis summary.

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Table 5.1 Cost analysis of raw materials

Cast T65-0.05BC Est. Market Required Cost per Cost per part Price weight weight ($) ($/kg) (kg) ($/lb) CP-2 Ti1 3.747 0.45 1.68615 CP-Al2 2.45 0.0304 0.07448 Recycled high 0.209 0.0255 0.0053295 carbon steel3 4 TiB2 powder 50 0.000815 0.04075 Total 0.506715 1.8067095 1.621 Total for 100,000 parts ($) 180,670.95 Cast Ti-64 CP-2 Ti1 3.747 0.45 1.68615 CP-Al2 2.45 0.0304 0.07448 CP-V4 29.98 0.020269 0.607664 Total 0.506716 2.3909488 2.144781 Total for 100,000 parts ($) 239,094.88 P/M steel Stainless steel 3.263 0.83 2.70829 1.48 powder5 Total for 100,000 parts ($) 270,829.00 Sources for market prices: 1Argus Metals International Global non-ferrous market prices, news and analysis, Jan 30, 2018 2MetalMiner 3Rockaway Recycling 4 Alibaba, TiB2 powder price varying from $20-100 per kg. A mid-value is taken for estimation; CP-V price varying from $20-40 per kg. A mid-value is taken for estimation; It should be noted that raw material prices are generally lower in Chinese market, and US providers’ price might change the estimation. 5Commodity lowest available import price from India (prices at 5 tons basis, largest quantity found). Price in US might vary.

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5.6.2 Energy and Labor

The energy and labor costs are estimated based on the available specifications of the manufacture equipment (power, size, etc.), the energy cost rate (state-based, use

Michigan state in this analysis), and the hourly compensation costs in manufacturing in

the United States. The comparison is shown in and Table 5.3. It can be seen that the

conventional P/M process is labor-saving compared with the current estimation on ISM

casting due to the differences in the number of components per operation. In the final cost

analysis, the ISM casting process cost is applied for both T65-0.05BC and Ti-64.

However, it should be noted that this estimation can vary depending on the actual casting

and P/M setups in industry with different production setup.

5.6.3 Equipment

The equipment cost is based on open sources and confidential discussions with

manufacturers listed in and Table 5.3 with energy and labor cost. The equipment cost of

ISM furnace is high due to the specific requirements from the processing of titanium

alloy.

5.6.4 Final Cost Analysis Comparison

As can be seen from the final cost comparison in Table 5.4, the starting target is

closely achieved with 38.7% weight reduction at a cost of less than $2.63 per pound of

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weight saved for a finished titanium connecting rod casting compared with the baseline part of P/M steel. In addition, it should be noted that with the same casting process, the new designed Ti alloy is also very competitive in raw material price with Ti-64 with the same part weight. Although the DOE project target of a cost of less than $2.25 per pound of weight saved is not reached, the weight reduction has exceeded the DOE project target

(30%). It should be noted that the actual cost analysis might vary from the ballpark analysis in this project depending on the equipment manufacture and raw materials providers.

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Table 5.2 Equipment, energy and labor cost analysis for cast T65-0.05BC

Cast T65-0.05BC Equipment cost Equipment estimate Additional Information ($) 10kg capacity with centrifugal caster ISM 2,750,000 Power: 400 kW Mold 30,000 Account for top and bottom molds Energy Operation time Energy cost Parts per Processes consumption (hr/operation) ($/operation) operation (kWh/operation) Melting + 0.2 80 8.84 20 Casting Total energy cost for 100,000 parts 44,200 ($) Mold heat up and Cost for 1.0 Cost per vacuuming 100,000 operation ($) Melting + Casting 0.3 parts ($) Labor cost Mold cooling 0.2 (hr/step) Mold 0.3 70.285 351,270 cleaning/spraying Total 1.8 Total add-up for 100,000 parts ($) 395,470

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Table 5.3 Equipment, energy and labor cost analysis for P/M steel

P/M steel Equipment cost Equipment estimate Additional Information ($) Compact hydraulic 350,000 Power: 90 kW Working area: 1.6x2.0m press Sintering Power: 250 kW Chamber size: 300,000 furnace 0.63x0.125x10.5m Mold 30,000 Account for top and bottom molds Energy Operation time Energy cost Parts per Processes consumption (hr/operation) ($/operation) operation (kWh/operation) Cold 0.33 30 3.315 100 Compacting Sintering 1.5 400 44.2 100 Total energy cost for 100,000 parts 47,515 ($) Compacting and 0.33 Cost for mold cleaning Cost per Labor cost 100,000 operation ($) (hr/step) parts ($) Sintering 1.5 71.4249 71424.9 Total add-up for 100,000 parts ($) 118,906.75

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Table 5.4 Cost analysis summary

Cast T65-0.05BC Cast Ti-64 P/M stainless steel Raw materials ($) 180,670.95 239,094.88 269,010.00 Labor cost ($) 351,270 351,270 71,424.9 Process energy cost ($) 44,200 44,200 47,515 Total ($) 576,140.95 634564.88 387,916.75 Total per part ($) 5.76 6.35 3.88 Part weight (lb) 1.12 1.12 1.83 Total per lb ($) 5.16 5.67 2.12 Weight saved per part Negligible 38.7% compared with (%) due to small Cost increase density 2.63 compared with ($/lb) difference

8

6 saved

4 weight

of

2 pound

per 0 $

12 10 8 6 4 2 0 in

Current ‐2 price The target setup estimation: in project: ‐$2.63 ‐$2.25 ‐4 Increase

‐6 Stainless steel powder price ($ per kg)

Figure 5.6 The effect of P/M stainless steel powder price on final cost estimation

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5.7 References

[5.1] T.W. Chapman, The Viscosity of Liquid Metals, A.I.Ch.E. Journal, 12 (1966)

395-400

[5.2] T. Ishikawa, P. Paradis, J.T. Okada, Y. Watanabe, Viscosity measurements of

molten refractory metals using an electrostatic levitator, Meas. Sci. Technol., 23

(2012) 025305

[5.3] H. Jiang, B. Li, J. Guo, S. Dong, Z. Li, China Foundry. 4 (1998) 22-24.

[5.4] Jiafang Wang, Jiannong Wang, J. Yie, Spcial Casting & Nonferrous Alloy. 5

(2002) 40-42.

[5.5] B. Li, J. Shang, Z. Guo, J. Aeronautical Mater, 21 (2001) 32-35.

[5.6] Y. Li, Master Dissertation, HIT. 2006.

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Chapter 6 . Conclusions and Future Perspectives

6.1 Conclusions

In this 4-year project/5-year PhD investigation, we started from exploring new low-cost titanium alloy systems with the guidance of Integrated Computational Materials

Engineering – Calculation of Phase Diagram (ICME-CALPHAD) framework, and determined several promising alloy systems, alloying elements including Ti-Al-Fe-Mn-

B-C, that can allow further development (lab-scale and industry-scale) in the future.

During the new alloy system exploration, considerable amount of scientific work was completed regarding CALPHAD modeling, microstructure morphology, mechanical properties, and processing of the new alloy systems. The relevant ternary titanium alloy systems, Ti-Al-Mn and Ti-Al-Fe, were examined and reassessed both computationally and experimentally, leading to more comprehensive understanding of these alloy systems.

Based on this above study, a new low-cost casting titanium alloy was developed,

Ti-6Al-5Fe-0.05B-0.05C (designated as T65-0.05BC), which has competitive as-cast strength level with current commercial titanium alloys but relatively low ductility.

However, in this project, since the target application, automotive engine connecting rod,

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is a fatigue-limited component and does not require high ductility, this alloy shall suffice as the deliverable alloy in this project.

After designing and confirming the potent of the new alloy, we designed and built

a lab-scale manufacturing equipment aided by computational tools at OSU labs to

conceptually prove that this alloy can be manufactured with permanent mold casting,

which is low-cost and potentially a mass production process. We produced a lab-scale

prototype connecting rod demonstrating the capability of permanent mold casting of this

new alloy. Based on the results from lab-scale manufacturing, several recommendations

are made for commercialization/industrialization of this process.

Also, in order to address that this alloy and the related manufacturing process we

proposed are cost-competitive with the current alloy and manufacturing techniques, a cost

analysis was conducted in this investigation. The results showed that compared with current commercial titanium alloy, Ti-6Al-4V, and conventional powder metallurgy stainless steel, this new casting titanium alloy has the potential to replace them in actual manufacturing environment.

In addition to the major achievements listed above, there are a few issues that need to be investigated about this new alloy and the manufacturing process. For example, the heat treatment of this new alloy needs to be further investigated to control the stable microstructure. The permanent mold casting process requires more precise design to reach maximum efficiency during operation.

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In summary, this investigation made significant progress in applying

computational tools to design new titanium alloys and manufacturing processes in an

accelerated rate. Evidently, the deliverable new low-cost casting titanium alloy has been

designed with a lab-scale validated manufacturing framework. This lab-scale framework

can be extended to industry-scale and beneficial to the application of titanium alloys in

civil applications, which in this case are automotive components. Besides the effort done

in this project, more investigations are strongly suggested to continue and further develop

this new alloy/alloy system with this manufacturing process (or other low-cost

manufacture options).

6.2 Ongoing investigations and future perspectives

6.2.1 Further investigation of thermodynamic and kinetics of Ti-Al-Fe system

As briefly mentioned in Chapter 2, the thermodynamics and kinetics descriptions

of Ti-Al-Fe system still require further work to be done to construct a more accurate

database for further alloy design. OSU team is currently constructing a customized Ti-Al-

Fe database. The main difficulty is to compromise among the assessed binary systems

about the thermodynamic definitions in the database programming. The experimental Ti-

Al-Fe phase diagram is briefly summarized as shown in Figure 6.1 [6.1]. The Ti-Al

binary system has no conflicts with the other two binary systems since most phases are compounds and no ordered solid solution phases. The main existing problem is the phase definition of ordered BCC phase in Ti-Fe and Al-Fe system. In the latest Ti-Fe binary 119

system description, TiFe, an intermetallic compound, is regarded as an ordered BCC

solid solution phase with 2 sub-lattices (3 when counting vacancy) [6.2]. However, in Al-

Fe binary system, there exists two ordered BCC solid solution phases, and they are

modeled with 2 and 4 sub-lattices respectively. However, due to their internal modelling conflicts, one must be forbidden in order to show the other when calculating phase diagrams. But in the experimental phase diagram, all ordered BCC solid solution phases

are shown. This definition conflict issue needs to be addressed to construct the Ti-Al-Fe

thermodynamic database.

A few preliminary experiments were conducted to systematically investigate the

effect of iron in Ti-Al-Fe system. Specimens with compositions Ti-6Al-xFe were casted

with arc melter. The specimens were firstly β-annealed at 1100°C/1hr and (α + β) aged at

800°C/1hr. The aged microstructures are shown in Figure 6.2. As can be seen, the phase

evolution with increased iron content is in some degree consistent with the calculated result in Figure 4.1. There appears to be minor formation of intermetallic phases when the

iron content reaches 12 wt.%, which is suspected to be primary TiFe precipitating from β

matrix. The microstructures become less homogenous and wider PFZ as iron content

increases, which is possible caused by the increased anisotropy of matrix-β lattice.

120

Figure 6.1 Experimental 1000°C isothermal section of Ti-Al-Fe system [6.1].

121

6.2.2 Further development of the new alloy, T65-0.05BC

One issue about the current new alloy is the design of heat treatment procedure.

Usually, the as-cast component requires heat treatment, including β hot-isostatic-pressing and α-β aging, to acquire a defect-free final microstructure. A few preliminary time- temperature-transformation (TTT) experiments were conducted as an attempt to investigate the phase transformation kinetics. However, an existing problem in the current new alloy is that the β→α phase transformation rate is too fast to be precisely controlled (within a few minutes) potentially due to the fast iron diffusion. As shown in

Figure 6.3, specimens all underwent β-homogenization at 1100°C/1hr and different aging treatments. Unfortunately, since the phase transformation process is too fast, the kinetic information cannot be extracted from these experiments. For example, for 800°C aging treatment, there is no measurable α phase volume fraction among 15, 30, and 90 minutes, indicating that the phase transformation is complete within 15 minutes. For heat treatment below 15 minutes, it is difficult to obtain reliable isothermal temperature profiles. OSU team is currently exploring possible methods for this type of heat treatment requirements.

122

Ti‐6Al‐3Fe Ti‐6Al‐4Fe Ti‐6Al‐5Fe

Ti‐6Al‐6Fe Ti‐6Al‐8Fe Ti‐6Al‐10Fe

Ti‐6Al‐12Fe Ti‐6Al‐14Fe

Figure 6.2 SEM images of heat treated Ti-6Al-xFe: 1100°C/1hr + 800°C/1hr

123

15 min 30 min 60 min

15 min 30 min 90 min

5 min 15 min

Figure 6.3 TTT experiments of Ti-6Al-5Fe-0.05B-0.05C: β-homogenization at

1100°C/1hr + (row 1) 750°C, (row 2) 800°C, (row 3) 850°C. The aging time is tagged.

124

6.2.3 Involvement of Mn in alloy design

As mentioned in Chapter 4, manganese is temporarily excluded in this

investigation, but OSU team is trying to produce several T65-0.05BC specimens with different manganese contents for evaluation to see if manganese is valuable to be

introduced in future development. A few preliminary experiments were conducted to

investigate potential manganese effect on microstructures as shown in Figure 6.4. As the

Fe-to-Mn ratio decreases, the microstructure becomes less anisotropic and more typical

basket-weave form, indicating that iron dominates the primary α phase morphology.

6.2.4 Mold coating investigation

In the original plan, the interaction in the mold-coating-casting is supposed to be

quantitatively investigated, and there are a few results generated in the previous quarterly

reports. However, due to the adhesion issue mentioned in Chapter 5, this investigation is

postponed until more stable/adhesive coating quality can be achieved. Several molten

titanium-ceramic couple experiments were conducted to investigate the interfacial

reaction as shown Figure 6.5. This experiment was conducted inside the plasma arc

melter using the plasma arc to melt the alloy button and allowing it to drop on the

ceramic (ZrO2) button to imitate the interfacial reaction at the coating-mold contact

locations. This experimental setup can be improved with more realistic setup, which better imitates the actual coating conditions.

125

Ti‐6Al‐5Fe Ti‐6Al‐4Fe‐1Mn Ti‐6Al‐3Fe‐2Mn

Ti‐6Al‐2Fe‐3Mn Ti‐6Al‐2.5Fe‐2.5Mn Ti‐6Al‐1Fe‐4Mn

Ti‐6Al‐5Mn

Figure 6.4 SEM images of Ti-6Al-xFe-yMn: β-homogenization at 1100°C/1hr +

800°C/1hr

126

(a)

(b) (c)

Figure 6.5 (a) The molten titanium – ceramic couple experiment setup in plasma arc

melter, and SEM images of the ZrO2-titanium interfaces of (b) Ti-6Al-2Fe-2Mn and (c)

Ti-6Al-1Fe-3Mn

127

6.3 References

[6.1] M. Palm, J. Lacaze, Assessment of the Al-Fe-Ti system, Intermetallics, 14

(2006) 1291-1303.

[6.2] B. Sundman, I. Ohnuma, N. Dupin, U.R. Kattner, S.G. Fries, An assessment of

the entire Al-Fe system including D03 ordering, Acta Mater, 57 (2009) 2896-

2908.

128

Chapter 7 Supplementary Results

0.1BC 0.2BC 0.3BC

Figure 7.1 SEM images of as-cast Ti-6Al-5Fe-xB-xC: (top) low magnification, and

(bottom) high magnification

129

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139