Sintering Theory
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Thermodynamics, Flame Temperature and Equilibrium
Thermodynamics, Flame Temperature and Equilibrium Combustion Summer School 2018 Prof. Dr.-Ing. Heinz Pitsch Course Overview Part I: Fundamentals and Laminar Flames • Introduction • Fundamentals and mass balances of combustion systems • Thermodynamic quantities • Thermodynamics, flame • Flame temperature at complete temperature, and equilibrium conversion • Governing equations • Chemical equilibrium • Laminar premixed flames: Kinematics and burning velocity • Laminar premixed flames: Flame structure • Laminar diffusion flames • FlameMaster flame calculator 2 Thermodynamic Quantities First law of thermodynamics - balance between different forms of energy • Change of specific internal energy: du specific work due to volumetric changes: δw = -pdv , v=1/ρ specific heat transfer from the surroundings: δq • Related quantities specific enthalpy (general definition): specific enthalpy for an ideal gas: • Energy balance for a closed system: 3 Multicomponent system • Specific internal energy and specific enthalpy of mixtures • Relation between internal energy and enthalpy of single species 4 Multicomponent system • Ideal gas u and h only function of temperature • If cpi is specific heat at constant pressure and hi,ref is reference enthalpy at reference temperature Tref , temperature dependence of partial specific enthalpy is given by • Reference temperature may be arbitrarily chosen, most frequently used: Tref = 0 K or Tref = 298.15 K 5 Multicomponent system • Partial molar enthalpy hi,m is and its temperature dependence is where the molar specific -
Lecture 8: Maximum and Minimum Work, Thermodynamic Inequalities
Lecture 8: Maximum and Minimum Work, Thermodynamic Inequalities Chapter II. Thermodynamic Quantities A.G. Petukhov, PHYS 743 October 4, 2017 Chapter II. Thermodynamic Quantities Lecture 8: Maximum and Minimum Work, ThermodynamicA.G. Petukhov,October Inequalities PHYS 4, 743 2017 1 / 12 Maximum Work If a thermally isolated system is in non-equilibrium state it may do work on some external bodies while equilibrium is being established. The total work done depends on the way leading to the equilibrium. Therefore the final state will also be different. In any event, since system is thermally isolated the work done by the system: jAj = E0 − E(S); where E0 is the initial energy and E(S) is final (equilibrium) one. Le us consider the case when Vinit = Vfinal but can change during the process. @ jAj @E = − = −Tfinal < 0 @S @S V The entropy cannot decrease. Then it means that the greater is the change of the entropy the smaller is work done by the system The maximum work done by the system corresponds to the reversible process when ∆S = Sfinal − Sinitial = 0 Chapter II. Thermodynamic Quantities Lecture 8: Maximum and Minimum Work, ThermodynamicA.G. Petukhov,October Inequalities PHYS 4, 743 2017 2 / 12 Clausius Theorem dS 0 R > dS < 0 R S S TA > TA T > T B B A δQA > 0 B Q 0 δ B < The system following a closed path A: System receives heat from a hot reservoir. Temperature of the thermostat is slightly larger then the system temperature B: System dumps heat to a cold reservoir. Temperature of the system is slightly larger then that of the thermostat Chapter II. -
Calculation of Chemical Potential and Activity Coefficient of Two Layers of Co2 Adsorbed on a Graphite Surface
Physical Chemistry Chemical Physics CALCULATION OF CHEMICAL POTENTIAL AND ACTIVITY COEFFICIENT OF TWO LAYERS OF CO2 ADSORBED ON A GRAPHITE SURFACE Journal: Physical Chemistry Chemical Physics Manuscript ID: CP-ART-08-2014-003782.R1 Article Type: Paper Date Submitted by the Author: 07-Nov-2014 Complete List of Authors: Trinh, Thuat; NTNU, Department of Chemistry Bedeaux, Dick; NTNU, Chemistry Simon, Jean-Marc; Universit� de Bourgogne, Chemistry Kjelstrup, Signe; Norwegian University of Science and Technology, Natural Sciences Page 1 of 8 Physical Chemistry Chemical Physics PCCP RSC Publishing ARTICLE CALCULATION OF CHEMICAL POTENTIAL AND ACTIVITY COEFFICIENT OF TWO LAYERS Cite this: DOI: 10.1039/x0xx00000x OF CO2 ADSORBED ON A GRAPHITE SURFACE T.T. Trinh,a D. Bedeaux a , J.-M Simon b and S. Kjelstrup a,c,* Received 00th January 2014, Accepted 00th January 2014 We study the adsorption of carbon dioxide at a graphite surface using the new Small System DOI: 10.1039/x0xx00000x Method, and find that for the temperature range between 300K and 550K most relevant for CO separation; adsorption takes place in two distinct thermodynamic layers defined according www.rsc.org/ 2 to Gibbs. We calculate the chemical potential, activity coefficient in both layers directly from the simulations. Based on thermodynamic relations, the entropy and enthalpy of the CO 2 adsorbed layers are also obtained. Their values indicate that there is a trade-off between entropy and enthalpy when a molecule chooses for one of the two layers. The first layer is a densely packed monolayer of relatively constant excess density with relatively large repulsive interactions and negative enthalpy. -
Chapter 4 Solution Theory
SMA5101 Thermodynamics of Materials Ceder 2001 Chapter 4 Solution Theory In the first chapters we dealt primarily with closed systems for which only heat and work is transferred between the system and the environment. In the this chapter, we study the thermodynamics of systems that can also exchange matter with other systems or with the environment, and in particular, systems with more than one component. First we focus on homogeneous systems called solutions. Next we consider heterogeneous systems with emphasis on the equilibrium between different multi-component phases. 4.1 WHAT IS A SOLUTION? A solution in thermodynamics refers to a system with more than one chemical component that is mixed homogeneously at the molecular level. A well-known example of a solution is salt water: The Na+, Cl- and H2O ions are intimately mixed at the atomic level. Many systems can be characterized as a dispersion of one phase within another phase. Although such systems typically contain more than one chemical component, they do not form a solution. Solutions are not limited to liquids: for example air, a mixture of predominantly N2 and O2, forms a vapor solution. Solid solutions such as the solid phase in the Si-Ge system are also common. Figure 4.1. schematically illustrates a binary solid solution and a binary liquid solution at the atomic level. Figure 4.1: (a) The (111) plane of the fcc lattice showing a cut of a binary A-B solid solution whereby A atoms (empty circles) are uniformly mixed with B atoms (filled circles) on the atomic level. -
ME182: Engineering Thermodynamics
ME182: Engineering Thermodynamics Teaching Scheme Credits Marks Distribution Theory Marks Practical Marks Total L T P C Marks ESE CE ESE CE 4 0 0 4 70 30 0 0 100 Course Content: Sr. Teaching Topics No. Hrs. 1 Basic Concepts: 05 Microscopic & macroscopic point of view, thermodynamic system and control volume, thermodynamic properties, processes and cycles, Thermodynamic equilibrium, Quasi-static process, homogeneous and heterogeneous systems, zeroth law of thermodynamics and different types of thermometers. 2 First law of Thermodynamics: 05 First law for a closed system undergoing a cycle and change of state, energy, PMM1, first law of thermodynamics for steady flow process, steady flow energy equation applied to nozzle, diffuser, boiler, turbine, compressor, pump, heat exchanger and throttling process, unsteady flow energy equation, filling and emptying process. 3 Second law of thermodynamics: 06 Limitations of first law of thermodynamics, Kelvin-Planck and Clausius statements and their equivalence, PMM2, refrigerator and heat pump, causes of irreversibility, Carnot theorem, corollary of Carnot theorem, thermodynamic temperature scale. 4 Entropy: 05 Clausius theorem, property of entropy, inequality of Clausius, entropy change in an irreversible process, principle of increase of entropy and its applications, entropy change for non-flow and flow processes, third law of thermodynamics. 5 Energy: 08 Energy of a heat input in a cycle, energy destruction in heat transfer process, energy of finite heat capacity body, energy of closed and steady flow system, irreversibility and Gouy-Stodola theorem and its applications, second law efficiency. 6 P-v, P-T, T-s and h-s diagrams for a pure substance. 03 7 Maxwell’s equations, TDS equations, Difference in heat capacities, 04 ratio of heat capacities, energy equation, joule-kelvin effect and clausius-clapeyronequation. -
Chapter 2: Equation of State
Chapter 2: Equation of State Introduction The Local Thermodynamic Equilibrium The Distribution Function Black Body Radiation Fermi-Dirac EoS The Complete Degenerate Gas Application to White Dwarfs Temperature Effects Ideal Gas The Saha Equation “Almost Perfect” EoS Adiabatic Exponents and Other Derivatives Outline Introduction The Local Thermodynamic Equilibrium The Distribution Function Black Body Radiation Fermi-Dirac EoS The Complete Degenerate Gas Application to White Dwarfs Temperature Effects Ideal Gas The Saha Equation “Almost Perfect” EoS Adiabatic Exponents and Other Derivatives The EoS, together with the thermodynamic equation, allows to study how the stellar material properties react to the heat, changing density, etc. Introduction Goal of the Chapter: derive the equation of state (or the mutual dependencies among local thermodynamic quantities such as P; T ; ρ, and Ni ), not only for the classic ideal gas, but also for photons and fermions. Introduction Goal of the Chapter: derive the equation of state (or the mutual dependencies among local thermodynamic quantities such as P; T ; ρ, and Ni ), not only for the classic ideal gas, but also for photons and fermions. The EoS, together with the thermodynamic equation, allows to study how the stellar material properties react to the heat, changing density, etc. Thermodynamics Thermodynamics is defined as the branch of science that deals with the relationship between heat and other forms of energy, such as work. The Laws of Thermodynamics: I First law: Energy can be neither created nor destroyed. This is a version of the law of conservation of energy, adapted for (isolated) thermodynamic systems. I Second law: In an isolated system, natural processes are spontaneous when they lead to an increase in disorder, or entropy, finally reaching an equilibrium. -
A Proof of Clausius' Theorem for Time Reversible Deterministic Microscopic
A proof of Clausius’ theorem for time reversible deterministic microscopic dynamics Denis J. Evans, Stephen R. Williams, and Debra J. Searles Citation: The Journal of Chemical Physics 134, 204113 (2011); doi: 10.1063/1.3592531 View online: http://dx.doi.org/10.1063/1.3592531 View Table of Contents: http://scitation.aip.org/content/aip/journal/jcp/134/20?ver=pdfcov Published by the AIP Publishing Articles you may be interested in Statistical Mechanics of Infinite Gravitating Systems AIP Conf. Proc. 970, 222 (2008); 10.1063/1.2839122 Gravitational clustering: an overview AIP Conf. Proc. 970, 205 (2008); 10.1063/1.2839121 Comment on “Comment on ‘Simple reversible molecular dynamics algorithms for Nosé-Hoover chain dynamics’ ” [J. Chem. Phys.110, 3623 (1999)] J. Chem. Phys. 124, 217101 (2006); 10.1063/1.2202355 Electrostatic correlations and fluctuations for ion binding to a finite length polyelectrolyte J. Chem. Phys. 122, 044903 (2005); 10.1063/1.1842059 Fluctuations and asymmetry via local Lyapunov instability in the time-reversible doubly thermostated harmonic oscillator J. Chem. Phys. 115, 5744 (2001); 10.1063/1.1401158 Reuse of AIP Publishing content is subject to the terms: https://publishing.aip.org/authors/rights-and-permissions. Downloaded to IP: 130.102.82.118 On: Thu, 01 Sep 2016 03:57:30 THE JOURNAL OF CHEMICAL PHYSICS 134, 204113 (2011) A proof of Clausius’ theorem for time reversible deterministic microscopic dynamics Denis J. Evans,1 Stephen R. Williams,1,a) and Debra J. Searles2 1Research School of Chemistry, Australian National University, Canberra, ACT 0200, Australia 2Queensland Micro- and Nanotechnology Centre and School of Biomolecular and Physical Sciences, Griffith University, Brisbane, Qld 4111, Australia (Received 17 February 2011; accepted 28 April 2011; published online 27 May 2011) In 1854 Clausius proved the famous theorem that bears his name by assuming the second “law” of thermodynamics. -
Poincaré's Proof of Clausius' Inequality
PHILOSOPHIA SCIENTIÆ MANUEL MONLÉON PRADAS JOSÉ LUIS GOMEZ RIBELLES Poincaré’s proof of Clausius’ inequality Philosophia Scientiæ, tome 1, no 4 (1996), p. 135-150 <http://www.numdam.org/item?id=PHSC_1996__1_4_135_0> © Éditions Kimé, 1996, tous droits réservés. L’accès aux archives de la revue « Philosophia Scientiæ » (http://poincare.univ-nancy2.fr/PhilosophiaScientiae/) implique l’accord avec les conditions générales d’utilisation (http://www. numdam.org/conditions). Toute utilisation commerciale ou im- pression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la pré- sente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ Poincaré's Proof of Clausius' Inequality Manuel Monléon Pradas José Luis Gomez Ribelles Universidad Politecnica de Valencla - Spain Dept. de Termodinamica Aplicada Philosopha Scientiœ, 1 (4), 1996,135-150. Manuel Monléon & JoséL. Ribelles Abstract* Clausius's inequality occupies a central place among thermodynamical results, as the analytical équivalent of the Second Law. Nevertheless, its proof and interprétation hâve always been dcbated. Poincaré developed an original attempt botb at interpreting and proving the resuit. Even if his attempt cannot be regarded as succeeded, he opened the way to the later development of continuum thermodynamics. Résumé. L'inégalité de Clausius joue un rôle central dans la thermodynamique, comme résultat analytiquement équivalent au Deuxième Principe. Mais son interprétation et sa démonstration ont toujours fait l'objet de débats. Poincaré a saisi les deux problèmes, en leur donnant des vues originales. Même si on ne peut pas dire que son essai était complètement réussi, il a ouvert la voie aux développements ultérieurs de la thermodynamique des milieux continus. -
Thermodynamics.Pdf
1 Statistical Thermodynamics Professor Dmitry Garanin Thermodynamics February 24, 2021 I. PREFACE The course of Statistical Thermodynamics consist of two parts: Thermodynamics and Statistical Physics. These both branches of physics deal with systems of a large number of particles (atoms, molecules, etc.) at equilibrium. 3 19 One cm of an ideal gas under normal conditions contains NL = 2:69×10 atoms, the so-called Loschmidt number. Although one may describe the motion of the atoms with the help of Newton's equations, direct solution of such a large number of differential equations is impossible. On the other hand, one does not need the too detailed information about the motion of the individual particles, the microscopic behavior of the system. One is rather interested in the macroscopic quantities, such as the pressure P . Pressure in gases is due to the bombardment of the walls of the container by the flying atoms of the contained gas. It does not exist if there are only a few gas molecules. Macroscopic quantities such as pressure arise only in systems of a large number of particles. Both thermodynamics and statistical physics study macroscopic quantities and relations between them. Some macroscopics quantities, such as temperature and entropy, are non-mechanical. Equilibruim, or thermodynamic equilibrium, is the state of the system that is achieved after some time after time-dependent forces acting on the system have been switched off. One can say that the system approaches the equilibrium, if undisturbed. Again, thermodynamic equilibrium arises solely in macroscopic systems. There is no thermodynamic equilibrium in a system of a few particles that are moving according to the Newton's law. -
Derivation of the Chemical Potential Equation
X - 8 DELGADO-BONAL ET AL.: DISEQUILIBRIUM ON MARS T Appendix A: Derivation of the chemical −CpT ln( ) + RT ln(p=p0) (A7) potential equation T0 When the temperature is T=T0, the above expression is The expression that is commonly used in planetary at- reduced to the more familiar equation: mospheres is usually written as (Kodepudi and Prigogine [1998], Eq. 5.3.6): µ(p; T0) = µ(p0;T0) + RT0 ln(p=p0) (A8) However, as has been explained in Section 2, this expres- µ(p; T ) = µ(p0;T ) + RT ln(p=p0) (A1) sion is only useful for situations where the temperature is where µ0 is the chemical potential at unit pressure (1 close to the standard temperature of reference (usually 298 atm), p0 is the pressure at standard conditions and R the K), i.e., the Earth environment. When the temperatures are gas constant. different, the complete expression for the chemical potential In order to calculate the chemical potential for arbitrary is needed. p and T, the knowledge of the chemical potential at (p0,T) The temperature dependence of the heat capacity is usu- is needed. This previous step, usually omitted, can be per- ally expressed as a polynomial function with tabulated con- formed as (Eq. (5.3.3) in (Kodepudi and Prigogine [1998])): stants: 2 Cp(T ) = a + bT + cT (A9) T Z T −H (p ;T 0) µ(p ;T ) = µ(p ;T ) + T · m 0 dT 0 (A2) If the coefficients b and c are much smaller than a, as usu- 0 T 0 0 T 02 0 T0 ally happens, Equation A7 represents an useful approxima- tion, useful for those environments where the temperature where T0 is the temperature at standard conditions and variations are not large and the heat capacity can be con- Hm is the molar enthalpy of the compound. -
Equation of State
EQUATION OF STATE Consider elementary cell in a phase space with a volume 3 ∆x ∆y ∆z ∆px ∆py ∆pz = h , (st.1) where h =6.63×10−27 erg s is the Planck constant, ∆x ∆y ∆z is volume in ordinary space measured 3 −1 3 in cm , and ∆px ∆py ∆pz is volume in momentum space measured in ( g cm s ) . According to quantum mechanics there is enough room for approximately one particle of any kind within any elementary cell. More precisely, an average number of particles per cell is given as g n = , (st.2) av e(E−µ)/kT ± 1 with a ”+” sign for fermions, and a ”−” sign for bosons. The corresponding distributions are called Fermi-Dirac and Bose-Einstein, respectively. Particles with a spin of 1/2 are called fermions, while those with a spin 0, 1, 2... are called bosons. Electrons and protons are fermions, photons are bosons, while larger nuclei or atoms may be either fermions or bosons, depending on the total spin of such − a composite particle. In the equation (st.2) E is the particle energy, k = 1.38 × 10−16 erg K 1 is the Boltzman constant, T is temperature, µ is chemical potential, and g is a number of different quantum states a particle may have within the cell. The meaning of temperature is obvious, while chemical potential will become more familiar later on. In most cases it will be close to the rest mass of a particle under consideration. If there are anti-particles present in equilibrium with particles, and particles have chemical potential µ then antiparticles have chemical potential µ − 2m, where m is their rest mass. -
Thermodynamics 2Nd Year Physics A
Thermodynamics 2nd year physics A. M. Steane 2000, revised 2004, 2006 We will base our tutorials around Adkins, Equilibrium Thermodynamics, 2nd ed (McGraw-Hill). Zemansky, Heat and Thermodynamics is good for experimental methods. Read also the relevant chapter in Feynman Lectures vol 1 for more physical insight. 1st tutorial: The First Law Read Adkins chapters 1 to 3. Terminology Function of state. It is important to be clear in your mind about what we mean by a function of state. Most physical quantities we tend to use in physics are functions of state, for example mass, volume, charge, pressure, electric ¯eld, temperature, entropy. A formal de¯nition is A function of state is a physical quantity whose change, when a system passes between any given pair of states, is independent of the path taken. (the `path' is the set of intermediate states that the system passes through during the change). The idea is that if a physical quantity has this property, then its value depends only on the state of the system, not on how the system got into that state, so that is why we call it a `function of state'. Heat and work are not functions of state, because they don't obey the formal de¯nition above, and this is because they each describe an energy exchange process, not a physical property. Some terminology concerning di®erentials. You will meet the terminology `exact' and `inexact' di®erential. The distinction is important, but I think this choice of terminology is not very good. It has become established however and now we are stuck with it.