First Vs. Second Gradient of Strain Theory for Capillarity Effects in an Elastic Fluid at Small Length Scales

Total Page:16

File Type:pdf, Size:1020Kb

First Vs. Second Gradient of Strain Theory for Capillarity Effects in an Elastic Fluid at Small Length Scales Computational Materials Science 50 (2011) 1299–1304 Contents lists available at ScienceDirect Computational Materials Science journal homepage: www.elsevier.com/locate/commatsci First vs. second gradient of strain theory for capillarity effects in an elastic fluid at small length scales S. Forest *, N.M. Cordero, E.P. Busso MINES ParisTech, Centre des Matériaux, CNRS UMR 7633, BP 87, 91003 Evry Cedex, France article info abstract Article history: Mindlin [22] wrote a milestone paper claiming that a second strain gradient theory is required for a con- Received 4 October 2009 tinuum description of volume cohesion and surface tension in isotropic elastic media. The objective of the Received in revised form 28 March 2010 present work is to compare Mindlin’s approach to more standard capillarity models based on a first strain Accepted 30 March 2010 gradient theory and Korteweg’s equation. A general micromorphic model is then proposed as a numerical method to implement Mindlin’s theory in a finite element code. Ó 2010 Elsevier B.V. All rights reserved. Keywords: Capillarity Cohesion Surface tension Nano-particle Free surface Micromorphic continuum Strain gradient Second gradient theory Third gradient theory 1. Introduction tained for both bulk phases separated by a zero-thickness surface [25,8]. The continuum mechanical theory of surface/interface Due to their different local environments, atoms at a free sur- behaviour has been settled by Gurtin and Murdoch [18,19].It face and atoms in the bulk of a material have a different associated introduces a volume stress tensor in the bulk of the material and energy and lattice spacing. This excess of energy associated with a surface stress tensor in the surface or interface modelled as a surface atoms is called surface free energy and gives rise to surface membrane. Both stress tensors fulfill balance of momentum equa- tension. The surface region is only a few atomic layers thin, that is tions. A specific elastic behaviour is attributed to the membrane why the surface tension can be neglected when the characteristic and kinematic constraints ensure that the bulk part and the surface length of the microstructure of the considered material is in the remain coherent. The most common manifestation of surface micrometer range or larger. But in the case of nano-sized materials, behaviour is capillarity effects in elastic fluids. It is described by the ratio between the surface and the volume is much higher and the Young–Laplace equation which states that the internal pres- the surface region behaviour cannot be neglected anymore. There sure, p, in a spherical droplet is proportional to the surface tension, are several ways to introduce the mechanical properties of the sur- T, multiplied by the surface curvature, 1/r: face. If an interface separating two homogeneous bulk phases is considered, one can define the interfacial properties by using an in- 2T ter-phase with a finite volume and assign thermodynamic proper- p ¼ : ð1Þ r ties in the usual way, as in Capolungo et al. [3]. Three phases are considered in this approach and the boundaries of the inter-phase When the size of the considered object is small enough, there is have to be defined more or less arbitrary. no clear way to define a sharp interface or surface. Instead, a con- One can also consider that the two homogeneous phases are tinuum model can be used to describe a transition domain be- separated by a single dividing surface; the thermodynamic proper- tween two bulk regions, or between the bulk and the outer free ties of the interface are defined as the excess over the values ob- surface. Such continuum theories for diffuse surface or interfaces have been developed for a refined description of capillarity in elas- tic fluids and solids. They are based on higher order gradient theo- * Corresponding author. Tel.: +33 1 60 76 30 51; fax: +33 1 60 76 31 50. ries like the Korteweg equation which involves the gradient of E-mail address: [email protected] (S. Forest). density vector, see [30]. A more general strain gradient theory 0927-0256/$ - see front matter Ó 2010 Elsevier B.V. All rights reserved. doi:10.1016/j.commatsci.2010.03.048 1300 S. Forest et al. / Computational Materials Science 50 (2011) 1299–1304 has been proposed by Casal [4–6]. In a unsufficiently known paper, mass density, q, on stress but also that of the density gradient Mindlin [22] claims that a second gradient of strain or, equiva- $q, in the form lently, third gradient of displacement theory is in fact needed to 2 2 describe, in a continuous manner, capillarity and cohesion effects T ¼pðqÞ 1 Àað$qÞ 1 Àb$q $q þ cð$ qÞ 1 þd$ $q; ð4Þ in isotropic linear elastic solids and fluids. Based on a simple where T is the stress tensor and a, b, c and d are material parame- one-dimensional atomic chain model, he identifies the higher or- ters, namely higher order elasticity moduli. The divergence of T is der elasticity modulus that is responsible for the variation of lattice assumed to vanish, in the absence of volume forces. In their account spacing from the free surface into the bulk in a semi-infinite crys- of Korteweg’s constitutive theory, Truesdell and Noll [30] show how tal. This model has not been discussed in literature, so that there it can be used to represent a spherical non-uniform field of mass seems to be no general opinion whether a first or second strain gra- density, q(r), thus allowing for the presence of an interface between dient theory is needed for capillarity effects in linear elastic media. liquid and vapor in a water droplet. The balance equation, On the other hand, Mindlin’s second gradient of strain theory is challenging from the computational point of view to compute 2 T0 þ ðT À T Þ¼0; ð5Þ fields of lattice parameters in nano-objects like nano-particles or rr r rr hh nanocrystals. Molecular static simulation provide such non-homo- is combined with the constitutive relation, geneous distributions of lattice spacing in crystals close to free sur- 0 faces or grain boundaries, that could be represented by a suitable 02 q 00 T À Thh ¼bq À d þ dq ; ð6Þ continuum model. rr r The objective of the present work is, firstly, to compare Kor- where the prime denotes derivation with respect to r. Integrating teweg’s equation with the first and second gradient of strain theo- Eq. (5) on the interface zone [r1,r2] yields the relation ries in order to highlight the main differences, and, secondly, to Z 0 0 r2 02 00 provide a framework for the numerical implementation of Mind- q ðr2Þ q ðr1Þ bq À dq Trrðr2ÞTrrðr1Þ¼2d À À 2 dr: ð7Þ lin’s second strain gradient theory. Finite element implementa- r2 r1 r1 r tions of the first gradient of strain theory exist in literature. They In order to obtain results appropriate to a thin shell of transi- are based on the introduction of additional strain degrees of free- tion, we calculate the limit of the latter relation as r , r tend to dom in the spirit of Eringen’s micromorphic approach [28,7,12]. 1 2 r . The first term on the right-hand side vanishes whereas, under That is why a second order micromorphic model is formulated in 0 suitable assumptions of smoothness, the second term is propor- the last section of the present work. Then, an internal constraint tional to the mean curvature, 1/r . Accordingly, Eq. (7) can be inter- must be enforced by means of Lagrange multiplier or suitable 0 preted as the diffuse counterpart of Laplace sharp interface penalization, so that the general micromorphic model reduces to equation. Mindlin’s second gradient of strain model. The compatibility of such higher grade constitutive equations, The article is organized as follows. The links between Kor- formulated within the framework of classical continuum mechan- teweg’s equation and the first strain gradient theory are presented ics, with continuum thermodynamics has been questioned by Gur- in Section 2. Arguments pleading for the necessity of a second tin [17] (see also [27]). Gurtin [17] argued that such higher order strain gradient model are provided in Section 3. A micromorphic constitutive statements can be acceptable only if higher order generalization of Mindlin’s model is finally proposed in Section 4, stress tensors are introduced in addition to the usual Cauchy sim- as the suitable framework for a future finite element implementa- ple force stress tensor. To see that, let us now rephrase Korteweg’s tion of higher order gradient theories. equation within the linear elasticity framework. For that purpose, For the sake of conciseness, the small strain framework is we define the dilatation as the trace of the small strain tensor, adopted. Volume forces are not considered throughout the work. The analysis is limited to the static case. We follow Mindlin’s nota- q $q $q D ¼ trace e ¼ 1 À 0 ; $D ¼ q ’ ; ð8Þ tion as closely as possible. However, we adopt an intrinsic notation 0 2 q q q0 where zeroth, first, second and third order tensors are denoted by a; a; a; a, respectively. The simple, double and triple contractions within the small strain approximation with respect to a reference g . are written ., :, and ., respectively. In index form with respect to mass density q0. The Korteweg Eq. (4) can therefore be written as an orthonormal Cartesian basis (e1, e2, e3), these notations corre- T ¼pðDÞ 1 Àað$DÞ2 1 Àb$D $D þ cð$2DÞ 1 þd$ $D; ð9Þ spond to Tij ¼pðDÞdij À aD;kD;kdij À bD;iD;j þ cD;kkdij þ dD;ij: ð10Þ .
Recommended publications
  • Equation of State for the Lennard-Jones Fluid
    Equation of State for the Lennard-Jones Fluid Monika Thol1*, Gabor Rutkai2, Andreas Köster2, Rolf Lustig3, Roland Span1, Jadran Vrabec2 1Lehrstuhl für Thermodynamik, Ruhr-Universität Bochum, Universitätsstraße 150, 44801 Bochum, Germany 2Lehrstuhl für Thermodynamik und Energietechnik, Universität Paderborn, Warburger Straße 100, 33098 Paderborn, Germany 3Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, Ohio 44115, USA Abstract An empirical equation of state correlation is proposed for the Lennard-Jones model fluid. The equation in terms of the Helmholtz energy is based on a large molecular simulation data set and thermal virial coefficients. The underlying data set consists of directly simulated residual Helmholtz energy derivatives with respect to temperature and density in the canonical ensemble. Using these data introduces a new methodology for developing equations of state from molecular simulation data. The correlation is valid for temperatures 0.5 < T/Tc < 7 and pressures up to p/pc = 500. Extensive comparisons to simulation data from the literature are made. The accuracy and extrapolation behavior is better than for existing equations of state. Key words: equation of state, Helmholtz energy, Lennard-Jones model fluid, molecular simulation, thermodynamic properties _____________ *E-mail: [email protected] Content Content ....................................................................................................................................... 2 List of Tables .............................................................................................................................
    [Show full text]
  • 1 Fluid Flow Outline Fundamentals of Rheology
    Fluid Flow Outline • Fundamentals and applications of rheology • Shear stress and shear rate • Viscosity and types of viscometers • Rheological classification of fluids • Apparent viscosity • Effect of temperature on viscosity • Reynolds number and types of flow • Flow in a pipe • Volumetric and mass flow rate • Friction factor (in straight pipe), friction coefficient (for fittings, expansion, contraction), pressure drop, energy loss • Pumping requirements (overcoming friction, potential energy, kinetic energy, pressure energy differences) 2 Fundamentals of Rheology • Rheology is the science of deformation and flow – The forces involved could be tensile, compressive, shear or bulk (uniform external pressure) • Food rheology is the material science of food – This can involve fluid or semi-solid foods • A rheometer is used to determine rheological properties (how a material flows under different conditions) – Viscometers are a sub-set of rheometers 3 1 Applications of Rheology • Process engineering calculations – Pumping requirements, extrusion, mixing, heat transfer, homogenization, spray coating • Determination of ingredient functionality – Consistency, stickiness etc. • Quality control of ingredients or final product – By measurement of viscosity, compressive strength etc. • Determination of shelf life – By determining changes in texture • Correlations to sensory tests – Mouthfeel 4 Stress and Strain • Stress: Force per unit area (Units: N/m2 or Pa) • Strain: (Change in dimension)/(Original dimension) (Units: None) • Strain rate: Rate
    [Show full text]
  • Chapter 3 Equations of State
    Chapter 3 Equations of State The simplest way to derive the Helmholtz function of a fluid is to directly integrate the equation of state with respect to volume (Sadus, 1992a, 1994). An equation of state can be applied to either vapour-liquid or supercritical phenomena without any conceptual difficulties. Therefore, in addition to liquid-liquid and vapour -liquid properties, it is also possible to determine transitions between these phenomena from the same inputs. All of the physical properties of the fluid except ideal gas are also simultaneously calculated. Many equations of state have been proposed in the literature with either an empirical, semi- empirical or theoretical basis. Comprehensive reviews can be found in the works of Martin (1979), Gubbins (1983), Anderko (1990), Sandler (1994), Economou and Donohue (1996), Wei and Sadus (2000) and Sengers et al. (2000). The van der Waals equation of state (1873) was the first equation to predict vapour-liquid coexistence. Later, the Redlich-Kwong equation of state (Redlich and Kwong, 1949) improved the accuracy of the van der Waals equation by proposing a temperature dependence for the attractive term. Soave (1972) and Peng and Robinson (1976) proposed additional modifications of the Redlich-Kwong equation to more accurately predict the vapour pressure, liquid density, and equilibria ratios. Guggenheim (1965) and Carnahan and Starling (1969) modified the repulsive term of van der Waals equation of state and obtained more accurate expressions for hard sphere systems. Christoforakos and Franck (1986) modified both the attractive and repulsive terms of van der Waals equation of state. Boublik (1981) extended the Carnahan-Starling hard sphere term to obtain an accurate equation for hard convex geometries.
    [Show full text]
  • Two-Way Fluid–Solid Interaction Analysis for a Horizontal Axis Marine Current Turbine with LES
    water Article Two-Way Fluid–Solid Interaction Analysis for a Horizontal Axis Marine Current Turbine with LES Jintong Gu 1,2, Fulin Cai 1,*, Norbert Müller 2, Yuquan Zhang 3 and Huixiang Chen 2,4 1 College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; [email protected] 2 Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824, USA; [email protected] (N.M.); [email protected] (H.C.) 3 College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China; [email protected] 4 College of Agricultural Engineering, Hohai University, Nanjing 210098, China * Correspondence: fl[email protected]; Tel.: +86-139-5195-1792 Received: 2 September 2019; Accepted: 23 December 2019; Published: 27 December 2019 Abstract: Operating in the harsh marine environment, fluctuating loads due to the surrounding turbulence are important for fatigue analysis of marine current turbines (MCTs). The large eddy simulation (LES) method was implemented to analyze the two-way fluid–solid interaction (FSI) for an MCT. The objective was to afford insights into the hydrodynamics near the rotor and in the wake, the deformation of rotor blades, and the interaction between the solid and fluid field. The numerical fluid simulation results showed good agreement with the experimental data and the influence of the support on the power coefficient and blade vibration. The impact of the blade displacement on the MCT performance was quantitatively analyzed. Besides the root, the highest stress was located near the middle of the blade. The findings can inform the design of MCTs for enhancing robustness and survivability.
    [Show full text]
  • Navier-Stokes Equations Some Background
    Navier-Stokes Equations Some background: Claude-Louis Navier was a French engineer and physicist who specialized in mechanics Navier formulated the general theory of elasticity in a mathematically usable form (1821), making it available to the field of construction with sufficient accuracy for the first time. In 1819 he succeeded in determining the zero line of mechanical stress, finally correcting Galileo Galilei's incorrect results, and in 1826 he established the elastic modulus as a property of materials independent of the second moment of area. Navier is therefore often considered to be the founder of modern structural analysis. His major contribution however remains the Navier–Stokes equations (1822), central to fluid mechanics. His name is one of the 72 names inscribed on the Eiffel Tower Sir George Gabriel Stokes was an Irish physicist and mathematician. Born in Ireland, Stokes spent all of his career at the University of Cambridge, where he served as Lucasian Professor of Mathematics from 1849 until his death in 1903. In physics, Stokes made seminal contributions to fluid dynamics (including the Navier–Stokes equations) and to physical optics. In mathematics he formulated the first version of what is now known as Stokes's theorem and contributed to the theory of asymptotic expansions. He served as secretary, then president, of the Royal Society of London The stokes, a unit of kinematic viscosity, is named after him. Navier Stokes Equation: the simplest form, where is the fluid velocity vector, is the fluid pressure, and is the fluid density, is the kinematic viscosity, and ∇2 is the Laplacian operator.
    [Show full text]
  • Ductile Deformation - Concepts of Finite Strain
    327 Ductile deformation - Concepts of finite strain Deformation includes any process that results in a change in shape, size or location of a body. A solid body subjected to external forces tends to move or change its displacement. These displacements can involve four distinct component patterns: - 1) A body is forced to change its position; it undergoes translation. - 2) A body is forced to change its orientation; it undergoes rotation. - 3) A body is forced to change size; it undergoes dilation. - 4) A body is forced to change shape; it undergoes distortion. These movement components are often described in terms of slip or flow. The distinction is scale- dependent, slip describing movement on a discrete plane, whereas flow is a penetrative movement that involves the whole of the rock. The four basic movements may be combined. - During rigid body deformation, rocks are translated and/or rotated but the original size and shape are preserved. - If instead of moving, the body absorbs some or all the forces, it becomes stressed. The forces then cause particle displacement within the body so that the body changes its shape and/or size; it becomes deformed. Deformation describes the complete transformation from the initial to the final geometry and location of a body. Deformation produces discontinuities in brittle rocks. In ductile rocks, deformation is macroscopically continuous, distributed within the mass of the rock. Instead, brittle deformation essentially involves relative movements between undeformed (but displaced) blocks. Finite strain jpb, 2019 328 Strain describes the non-rigid body deformation, i.e. the amount of movement caused by stresses between parts of a body.
    [Show full text]
  • Introduction to FINITE STRAIN THEORY for CONTINUUM ELASTO
    RED BOX RULES ARE FOR PROOF STAGE ONLY. DELETE BEFORE FINAL PRINTING. WILEY SERIES IN COMPUTATIONAL MECHANICS HASHIGUCHI WILEY SERIES IN COMPUTATIONAL MECHANICS YAMAKAWA Introduction to for to Introduction FINITE STRAIN THEORY for CONTINUUM ELASTO-PLASTICITY CONTINUUM ELASTO-PLASTICITY KOICHI HASHIGUCHI, Kyushu University, Japan Introduction to YUKI YAMAKAWA, Tohoku University, Japan Elasto-plastic deformation is frequently observed in machines and structures, hence its prediction is an important consideration at the design stage. Elasto-plasticity theories will FINITE STRAIN THEORY be increasingly required in the future in response to the development of new and improved industrial technologies. Although various books for elasto-plasticity have been published to date, they focus on infi nitesimal elasto-plastic deformation theory. However, modern computational THEORY STRAIN FINITE for CONTINUUM techniques employ an advanced approach to solve problems in this fi eld and much research has taken place in recent years into fi nite strain elasto-plasticity. This book describes this approach and aims to improve mechanical design techniques in mechanical, civil, structural and aeronautical engineering through the accurate analysis of fi nite elasto-plastic deformation. ELASTO-PLASTICITY Introduction to Finite Strain Theory for Continuum Elasto-Plasticity presents introductory explanations that can be easily understood by readers with only a basic knowledge of elasto-plasticity, showing physical backgrounds of concepts in detail and derivation processes
    [Show full text]
  • Chapter 9 (9.5) – Fluid Pressure
    Chapter 9 (9.5) – Fluid Pressure Mechanics is a branch of the physical sciences that is concerned with the state of rest or motion of bodies that are subjected to the action of forces SOLIDS FLUIDS Rigid Bodies TAM 210/211: Statics TAM212: Dynamics Deformable Bodies TAM 251: Solid Mechanics What Makes a Fluid or Solid? Honey Rock What is Sand? Particles swollen with water – ‘Squishy Baff’ Aloe Gel 0 30 60 90 10mm Elastic Increasing force (stress) Viscous They act like a solid… But they flow like a fluid once enough stress is applied. Whipping cream (liquid) + air (gas) = Foam (solid) with compressed air mechanical beating They look like a fluid… Video cornstarch + water = (small, hard particles) But they may bear static loads like solids Summary Water takes shape of its container. Water and rock fit classical definitions of Rock does not. fluid and rock respectively Sand and Squishy Baff take the shape of Sand and Squishy Baff are granular containers, but are composed of solid materials which have properties of both particles fluids and solid The aloe gel holds its shape and can Aloe gel is a suspension of particles trap air bubbles until a certain amount which is able to bear static load like a of stress is applied. solid but behaves like a fluid when “enough” stress is applied. Fluids Pascal’s law: A fluid at rest creates a pressure p at a point that is the same in all directions y For equilibrium of an infinitesimal element, p px F 0:pA cos pA cos 0 p p , x xx x A Fyy0:pA sin pA sin 0 p y p .
    [Show full text]
  • Chapter 15 - Fluid Mechanics Thursday, March 24Th
    Chapter 15 - Fluid Mechanics Thursday, March 24th •Fluids – Static properties • Density and pressure • Hydrostatic equilibrium • Archimedes principle and buoyancy •Fluid Motion • The continuity equation • Bernoulli’s effect •Demonstration, iClicker and example problems Reading: pages 243 to 255 in text book (Chapter 15) Definitions: Density Pressure, ρ , is defined as force per unit area: Mass M ρ = = [Units – kg.m-3] Volume V Definition of mass – 1 kg is the mass of 1 liter (10-3 m3) of pure water. Therefore, density of water given by: Mass 1 kg 3 −3 ρH O = = 3 3 = 10 kg ⋅m 2 Volume 10− m Definitions: Pressure (p ) Pressure, p, is defined as force per unit area: Force F p = = [Units – N.m-2, or Pascal (Pa)] Area A Atmospheric pressure (1 atm.) is equal to 101325 N.m-2. 1 pound per square inch (1 psi) is equal to: 1 psi = 6944 Pa = 0.068 atm 1atm = 14.7 psi Definitions: Pressure (p ) Pressure, p, is defined as force per unit area: Force F p = = [Units – N.m-2, or Pascal (Pa)] Area A Pressure in Fluids Pressure, " p, is defined as force per unit area: # Force F p = = [Units – N.m-2, or Pascal (Pa)] " A8" rea A + $ In the presence of gravity, pressure in a static+ 8" fluid increases with depth. " – This allows an upward pressure force " to balance the downward gravitational force. + " $ – This condition is hydrostatic equilibrium. – Incompressible fluids like liquids have constant density; for them, pressure as a function of depth h is p p gh = 0+ρ p0 = pressure at surface " + Pressure in Fluids Pressure, p, is defined as force per unit area: Force F p = = [Units – N.m-2, or Pascal (Pa)] Area A In the presence of gravity, pressure in a static fluid increases with depth.
    [Show full text]
  • Fluid Mechanics
    I. FLUID MECHANICS I.1 Basic Concepts & Definitions: Fluid Mechanics - Study of fluids at rest, in motion, and the effects of fluids on boundaries. Note: This definition outlines the key topics in the study of fluids: (1) fluid statics (fluids at rest), (2) momentum and energy analyses (fluids in motion), and (3) viscous effects and all sections considering pressure forces (effects of fluids on boundaries). Fluid - A substance which moves and deforms continuously as a result of an applied shear stress. The definition also clearly shows that viscous effects are not considered in the study of fluid statics. Two important properties in the study of fluid mechanics are: Pressure and Velocity These are defined as follows: Pressure - The normal stress on any plane through a fluid element at rest. Key Point: The direction of pressure forces will always be perpendicular to the surface of interest. Velocity - The rate of change of position at a point in a flow field. It is used not only to specify flow field characteristics but also to specify flow rate, momentum, and viscous effects for a fluid in motion. I-1 I.4 Dimensions and Units This text will use both the International System of Units (S.I.) and British Gravitational System (B.G.). A key feature of both is that neither system uses gc. Rather, in both systems the combination of units for mass * acceleration yields the unit of force, i.e. Newton’s second law yields 2 2 S.I. - 1 Newton (N) = 1 kg m/s B.G. - 1 lbf = 1 slug ft/s This will be particularly useful in the following: Concept Expression Units momentum m! V kg/s * m/s = kg m/s2 = N slug/s * ft/s = slug ft/s2 = lbf manometry ρ g h kg/m3*m/s2*m = (kg m/s2)/ m2 =N/m2 slug/ft3*ft/s2*ft = (slug ft/s2)/ft2 = lbf/ft2 dynamic viscosity µ N s /m2 = (kg m/s2) s /m2 = kg/m s lbf s /ft2 = (slug ft/s2) s /ft2 = slug/ft s Key Point: In the B.G.
    [Show full text]
  • Pressure and Fluid Statics
    cen72367_ch03.qxd 10/29/04 2:21 PM Page 65 CHAPTER PRESSURE AND 3 FLUID STATICS his chapter deals with forces applied by fluids at rest or in rigid-body motion. The fluid property responsible for those forces is pressure, OBJECTIVES Twhich is a normal force exerted by a fluid per unit area. We start this When you finish reading this chapter, you chapter with a detailed discussion of pressure, including absolute and gage should be able to pressures, the pressure at a point, the variation of pressure with depth in a I Determine the variation of gravitational field, the manometer, the barometer, and pressure measure- pressure in a fluid at rest ment devices. This is followed by a discussion of the hydrostatic forces I Calculate the forces exerted by a applied on submerged bodies with plane or curved surfaces. We then con- fluid at rest on plane or curved submerged surfaces sider the buoyant force applied by fluids on submerged or floating bodies, and discuss the stability of such bodies. Finally, we apply Newton’s second I Analyze the rigid-body motion of fluids in containers during linear law of motion to a body of fluid in motion that acts as a rigid body and ana- acceleration or rotation lyze the variation of pressure in fluids that undergo linear acceleration and in rotating containers. This chapter makes extensive use of force balances for bodies in static equilibrium, and it will be helpful if the relevant topics from statics are first reviewed. 65 cen72367_ch03.qxd 10/29/04 2:21 PM Page 66 66 FLUID MECHANICS 3–1 I PRESSURE Pressure is defined as a normal force exerted by a fluid per unit area.
    [Show full text]
  • Use of Equations of State and Equation of State Software Packages
    USE OF EQUATIONS OF STATE AND EQUATION OF STATE SOFTWARE PACKAGES Adam G. Hawley Darin L. George Southwest Research Institute 6220 Culebra Road San Antonio, TX 78238 Introduction Peng-Robinson (PR) Determination of fluid properties and phase The Peng-Robison (PR) EOS (Peng and Robinson, conditions of hydrocarbon mixtures is critical 1976) is referred to as a cubic equation of state, for accurate hydrocarbon measurement, because the basic equations can be rewritten as cubic representative sampling, and overall pipeline polynomials in specific volume. The Peng Robison operation. Fluid properties such as EOS is derived from the basic ideal gas law along with other corrections, to account for the behavior of compressibility and density are critical for flow a “real” gas. The Peng Robison EOS is very measurement and determination of the versatile and can be used to determine properties hydrocarbon due point is important to verify such as density, compressibility, and sound speed. that heavier hydrocarbons will not condense out The Peng Robison EOS can also be used to of a gas mixture in changing process conditions. determine phase boundaries and the phase conditions of hydrocarbon mixtures. In the oil and gas industry, equations of state (EOS) are typically used to determine the Soave-Redlich-Kwong (SRK) properties and the phase conditions of hydrocarbon mixtures. Equations of state are The Soave-Redlich-Kwaon (SRK) EOS (Soave, 1972) is a cubic equation of state, similar to the Peng mathematical correlations that relate properties Robison EOS. The main difference between the of hydrocarbons to pressure, temperature, and SRK and Peng Robison EOS is the different sets of fluid composition.
    [Show full text]