Thermodynamics and Phase Diagrams
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Feas: Heat Capacity, Enthalpy Increments, Other Thermodynamic Properties from 5 to 1350 K, and Magnetic Transition A
M-2341 J. Chem. Thermodynumics 1989,21, 363-373 FeAs: Heat capacity, enthalpy increments, other thermodynamic properties from 5 to 1350 K, and magnetic transition a DOMINGO GONZALEZ-ALVAREZ, Fact&ad de Ciencias de la Universidad de Zaragoza, Departamento de Fisica Fundamental, 5009 Zaragoza, Spain FREDRIK GR0NVOLD, Chemical Institute, University of Oslo, Blindern, Oslo 3, Norway BENGT FALK,b EDGAR F. WESTRUM, JR., Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, U.S.A. R. BLACHNIK,’ and G. KUDERMANNd Technical University, Siegen, Federal Republic of Germany (Received 2 January 1989) The heat capacity of iron monoarsenide has been determined by adiabatic calorimetry from 5 to 1030 K and bv drou calorimetrv relative to 298.15 K over the range 875 to 1350 K. A small h-type transition is observed at ?;, = (70.95 kO.02) K. It is related & the disappearance of a doubly helically ordered magnetic-spin structure on heating. The obviously cooperative entropy increment of transition is only A&JR = 0.021. The higher-temperature heat capacity rises considerably above lattice expectations. Part of the rise is ascribed to low-spin electron redistribution in iron, while the further excess above 800 K presumably arises from a beginning low- to high-spin transition, possibly connected with interstitial defect formation in the MnP- type structure. FeAs melts at about 1325 K with A,,,Hk=6180R.K. Thermodynamic functions have been evaluated and the values of C,,,(T), S:(T), H:(T), and @i(T), are 6.057R, 7.513R,1177R.K, and 3.567Rat 298.15 K, and 8.75R,16.03R, 6287R.K, and 9.74512at 1000 K. -
Chapter 3. Second and Third Law of Thermodynamics
Chapter 3. Second and third law of thermodynamics Important Concepts Review Entropy; Gibbs Free Energy • Entropy (S) – definitions Law of Corresponding States (ch 1 notes) • Entropy changes in reversible and Reduced pressure, temperatures, volumes irreversible processes • Entropy of mixing of ideal gases • 2nd law of thermodynamics • 3rd law of thermodynamics Math • Free energy Numerical integration by computer • Maxwell relations (Trapezoidal integration • Dependence of free energy on P, V, T https://en.wikipedia.org/wiki/Trapezoidal_rule) • Thermodynamic functions of mixtures Properties of partial differential equations • Partial molar quantities and chemical Rules for inequalities potential Major Concept Review • Adiabats vs. isotherms p1V1 p2V2 • Sign convention for work and heat w done on c=C /R vm system, q supplied to system : + p1V1 p2V2 =Cp/CV w done by system, q removed from system : c c V1T1 V2T2 - • Joule-Thomson expansion (DH=0); • State variables depend on final & initial state; not Joule-Thomson coefficient, inversion path. temperature • Reversible change occurs in series of equilibrium V states T TT V P p • Adiabatic q = 0; Isothermal DT = 0 H CP • Equations of state for enthalpy, H and internal • Formation reaction; enthalpies of energy, U reaction, Hess’s Law; other changes D rxn H iD f Hi i T D rxn H Drxn Href DrxnCpdT Tref • Calorimetry Spontaneous and Nonspontaneous Changes First Law: when one form of energy is converted to another, the total energy in universe is conserved. • Does not give any other restriction on a process • But many processes have a natural direction Examples • gas expands into a vacuum; not the reverse • can burn paper; can't unburn paper • heat never flows spontaneously from cold to hot These changes are called nonspontaneous changes. -
High Temperature Enthalpies of the Lead Halides
HIGH TEMPERATURE ENTHALPIES OF THE LEAD HALIDES: ENTHALPIES AND ENTROPIES OF FUSION APPROVED: Graduate Committee: Major Professor Committee Member Min fessor Committee Member X Committee Member UJ. Committee Member Committee Member Chairman of the Department of Chemistry Dean or the Graduate School HIGH TEMPERATURE ENTHALPIES OF THE LEAD HALIDES: ENTHALPIES AND ENTROPIES OF FUSION DISSERTATION Presented to the Graduate Council of the North Texas State University in Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY By Clarence W, Linsey, B. S., M. S, Denton, Texas June, 1970 ACKNOWLEDGEMENT This dissertation is based on research conducted at the Oak Ridge National Laboratory, Oak Ridge, Tennessee, which is operated by the Uniofl Carbide Corporation for the U. S. Atomic Energy Commission. The author is also indebted to the Oak Ridge Associated Universities for the Oak Ridge Graduate Fellowship which he held during the laboratory phase. 11 TABLE OF CONTENTS Page LIST OF TABLES iv LIST OF ILLUSTRATIONS v Chapter I. INTRODUCTION . 1 Lead Fluoride Lead Chloride Lead Bromide Lead Iodide II. EXPERIMENTAL 11 Reagents Fusion-Filtration Method Encapsulation of Samples Equipment and Procedure Bunsen Ice Calorimeter Computer Programs Shomate Method Treatment of Data Near the Melting Point Solution Calorimeter Heat of Solution Calculations III. RESULTS AND DISCUSSION 41 Lead Fluoride Variation in Heat Contents of the Nichrome V Capsules Lead Chloride Lead Bromide Lead Iodide Summary BIBLIOGRAPHY ...... 98 in LIST OF TABLES Table Pa8e I. High-Temperature Enthalpy Data for Cubic PbE2 Encapsulated in Gold 42 II. High-Temperature Enthalpy Data for Cubic PbF2 Encapsulated in Molybdenum 48 III. -
Calculating the Configurational Entropy of a Landscape Mosaic
Landscape Ecol (2016) 31:481–489 DOI 10.1007/s10980-015-0305-2 PERSPECTIVE Calculating the configurational entropy of a landscape mosaic Samuel A. Cushman Received: 15 August 2014 / Accepted: 29 October 2015 / Published online: 7 November 2015 Ó Springer Science+Business Media Dordrecht (outside the USA) 2015 Abstract of classes and proportionality can be arranged (mi- Background Applications of entropy and the second crostates) that produce the observed amount of total law of thermodynamics in landscape ecology are rare edge (macrostate). and poorly developed. This is a fundamental limitation given the centrally important role the second law plays Keywords Entropy Á Landscape Á Configuration Á in all physical and biological processes. A critical first Composition Á Thermodynamics step to exploring the utility of thermodynamics in landscape ecology is to define the configurational entropy of a landscape mosaic. In this paper I attempt to link landscape ecology to the second law of Introduction thermodynamics and the entropy concept by showing how the configurational entropy of a landscape mosaic Entropy and the second law of thermodynamics are may be calculated. central organizing principles of nature, but are poorly Result I begin by drawing parallels between the developed and integrated in the landscape ecology configuration of a categorical landscape mosaic and literature (but see Li 2000, 2002; Vranken et al. 2014). the mixing of ideal gases. I propose that the idea of the Descriptions of landscape patterns, processes of thermodynamic microstate can be expressed as unique landscape change, and propagation of pattern-process configurations of a landscape mosaic, and posit that relationships across scale and through time are all the landscape metric Total Edge length is an effective governed and constrained by the second law of measure of configuration for purposes of calculating thermodynamics (Cushman 2015). -
THERMODYNAMIC EVALUATION of the Cu-Ti SYSTEM in VIEW of SOLID STATE AMORPHIZATION REACTIONS L
THERMODYNAMIC EVALUATION OF THE Cu-Ti SYSTEM IN VIEW OF SOLID STATE AMORPHIZATION REACTIONS L. Battezzati, M. Baricco, G. Riontino, I. Soletta To cite this version: L. Battezzati, M. Baricco, G. Riontino, I. Soletta. THERMODYNAMIC EVALUATION OF THE Cu- Ti SYSTEM IN VIEW OF SOLID STATE AMORPHIZATION REACTIONS. Journal de Physique Colloques, 1990, 51 (C4), pp.C4-79-C4-85. 10.1051/jphyscol:1990409. jpa-00230769 HAL Id: jpa-00230769 https://hal.archives-ouvertes.fr/jpa-00230769 Submitted on 1 Jan 1990 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ~OLLOQUEDE PHYSIQUE Colloque C4, suppl6ment au 11'14, Tome 51, 15 juillet 1990 THERMODYNAMIC EVALUATION OF THE Cu-Ti SYSTEM IN VIEW OF SOLID STATE AMORPHIZATION REACTIONS L. BATTEZZATI* , M. BARICCO*~ *""" , G. RIONTINO" *"* and I. SOLETTA** * '~ipartimento di Chimica Inorganics, Chimica Fisica e Chimica dei Materiali, Universitd di Torino, Italy ""~stitutoElettrotecnico Nazionale Galileo Perraris, Torino, Italy *.* Dipartimento di Chimica, Universitd di Sassari, Italy *et* INPM, Unita' di Ricerca di Torino, Italy Resumk -La description thermodynamique du sist6me Cu-Ti est reconsideree, car les calculs he la littgrature, bien que donnant une bonne representation du diagramme de phase, ne prevoient pas la possibilit6 de l'amorphisation. -
Chemistry C3102-2006: Polymers Section Dr. Edie Sevick, Research School of Chemistry, ANU 5.0 Thermodynamics of Polymer Solution
Chemistry C3102-2006: Polymers Section Dr. Edie Sevick, Research School of Chemistry, ANU 5.0 Thermodynamics of Polymer Solutions In this section, we investigate the solubility of polymers in small molecule solvents. Solubility, whether a chain goes “into solution”, i.e. is dissolved in solvent, is an important property. Full solubility is advantageous in processing of polymers; but it is also important for polymers to be fully insoluble - think of plastic shoe soles on a rainy day! So far, we have briefly touched upon thermodynamic solubility of a single chain- a “good” solvent swells a chain, or mixes with the monomers, while a“poor” solvent “de-mixes” the chain, causing it to collapse upon itself. Whether two components mix to form a homogeneous solution or not is determined by minimisation of a free energy. Here we will express free energy in terms of canonical variables T,P,N , i.e., temperature, pressure, and number (of moles) of molecules. The free energy { } expressed in these variables is the Gibbs free energy G G(T,P,N). (1) ≡ In previous sections, we referred to the Helmholtz free energy, F , the free energy in terms of the variables T,V,N . Let ∆Gm denote the free eneregy change upon homogeneous mix- { } ing. For a 2-component system, i.e. a solute-solvent system, this is simply the difference in the free energies of the solute-solvent mixture and pure quantities of solute and solvent: ∆Gm G(T,P,N , N ) (G0(T,P,N )+ G0(T,P,N )), where the superscript 0 denotes the ≡ 1 2 − 1 2 pure component. -
Lecture 6: Entropy
Matthew Schwartz Statistical Mechanics, Spring 2019 Lecture 6: Entropy 1 Introduction In this lecture, we discuss many ways to think about entropy. The most important and most famous property of entropy is that it never decreases Stot > 0 (1) Here, Stot means the change in entropy of a system plus the change in entropy of the surroundings. This is the second law of thermodynamics that we met in the previous lecture. There's a great quote from Sir Arthur Eddington from 1927 summarizing the importance of the second law: If someone points out to you that your pet theory of the universe is in disagreement with Maxwell's equationsthen so much the worse for Maxwell's equations. If it is found to be contradicted by observationwell these experimentalists do bungle things sometimes. But if your theory is found to be against the second law of ther- modynamics I can give you no hope; there is nothing for it but to collapse in deepest humiliation. Another possibly relevant quote, from the introduction to the statistical mechanics book by David Goodstein: Ludwig Boltzmann who spent much of his life studying statistical mechanics, died in 1906, by his own hand. Paul Ehrenfest, carrying on the work, died similarly in 1933. Now it is our turn to study statistical mechanics. There are many ways to dene entropy. All of them are equivalent, although it can be hard to see. In this lecture we will compare and contrast dierent denitions, building up intuition for how to think about entropy in dierent contexts. The original denition of entropy, due to Clausius, was thermodynamic. -
Solutions Mole Fraction of Component a = Xa Mass Fraction of Component a = Ma Volume Fraction of Component a = Φa Typically We
Solutions Mole fraction of component A = xA Mass Fraction of component A = mA Volume Fraction of component A = fA Typically we make a binary blend, A + B, with mass fraction, m A, and want volume fraction, fA, or mole fraction , xA. fA = (mA/rA)/((mA/rA) + (m B/rB)) xA = (mA/MWA)/((mA/MWA) + (m B/MWB)) 1 Solutions Three ways to get entropy and free energy of mixing A) Isothermal free energy expression, pressure expression B) Isothermal volume expansion approach, volume expression C) From statistical thermodynamics 2 Mix two ideal gasses, A and B p = pA + pB pA is the partial pressure pA = xAp For single component molar G = µ µ 0 is at p0,A = 1 bar At pressure pA for a pure component µ A = µ0,A + RT ln(p/p0,A) = µ0,A + RT ln(p) For a mixture of A and B with a total pressure ptot = p0,A = 1 bar and pA = xA ptot For component A in a binary mixture µ A(xA) = µ0.A + RT xAln (xA ptot/p0,A) = µ0.A + xART ln (xA) Notice that xA must be less than or equal to 1, so ln xA must be negative or 0 So the chemical potential has to drop in the solution for a solution to exist. Ideal gasses only have entropy so entropy drives mixing in this case. This can be written, xA = exp((µ A(xA) - µ 0.A)/RT) Which indicates that xA is the Boltzmann probability of finding A 3 Mix two real gasses, A and B µ A* = µ 0.A if p = 1 4 Ideal Gas Mixing For isothermal DU = CV dT = 0 Q = W = -pdV For ideal gas Q = W = nRTln(V f/Vi) Q = DS/T DS = nRln(V f/Vi) Consider a process of expansion of a gas from VA to V tot The change in entropy is DSA = nARln(V tot/VA) = - nARln(VA/V tot) Consider an isochoric mixing process of ideal gasses A and B. -
Efficient Approach to Compute Melting Properties Fully from Ab Initio With
PHYSICAL REVIEW B 96, 224202 (2017) Efficient approach to compute melting properties fully from ab initio with application to Cu Li-Fang Zhu,* Blazej Grabowski, and Jörg Neugebauer Max-Planck-Institut für Eisenforschung GmbH, D-40237 Düsseldorf, Germany (Received 3 August 2017; revised manuscript received 16 October 2017; published 13 December 2017) Applying thermodynamic integration within an ab initio-based free-energy approach is a state-of-the-art method to calculate melting points of materials. However, the high computational cost and the reliance on a good reference system for calculating the liquid free energy have so far hindered a general application. To overcome these challenges, we propose the two-optimized references thermodynamic integration using Langevin dynamics (TOR-TILD) method in this work by extending the two-stage upsampled thermodynamic integration using Langevin dynamics (TU-TILD) method, which has been originally developed to obtain anharmonic free energies of solids, to the calculation of liquid free energies. The core idea of TOR-TILD is to fit two empirical potentials to the energies from density functional theory based molecular dynamics runs for the solid and the liquid phase and to use these potentials as reference systems for thermodynamic integration. Because the empirical potentials closely reproduce the ab initio system in the relevant part of the phase space the convergence of the thermodynamic integration is very rapid. Therefore, the proposed approach improves significantly the computational efficiency while preserving the required accuracy. As a test case, we apply TOR-TILD to fcc Cu computing not only the melting point but various other melting properties, such as the entropy and enthalpy of fusion and the volume change upon melting. -
Gibbs Paradox of Entropy of Mixing: Experimental Facts, Its Rejection and the Theoretical Consequences
ELECTRONIC JOURNAL OF THEORETICAL CHEMISTRY, VOL. 1, 135±150 (1996) Gibbs paradox of entropy of mixing: experimental facts, its rejection and the theoretical consequences SHU-KUN LIN Molecular Diversity Preservation International (MDPI), Saengergasse25, CH-4054 Basel, Switzerland and Institute for Organic Chemistry, University of Basel, CH-4056 Basel, Switzerland ([email protected]) SUMMARY Gibbs paradox statement of entropy of mixing has been regarded as the theoretical foundation of statistical mechanics, quantum theory and biophysics. A large number of relevant chemical and physical observations show that the Gibbs paradox statement is false. We also disprove the Gibbs paradox statement through consideration of symmetry, similarity, entropy additivity and the de®ned property of ideal gas. A theory with its basic principles opposing Gibbs paradox statement emerges: entropy of mixing increases continuously with the increase in similarity of the relevant properties. Many outstanding problems, such as the validity of Pauling's resonance theory and the biophysical problem of protein folding and the related hydrophobic effect, etc. can be considered on a new theoretical basis. A new energy transduction mechanism, the deformation, is also brie¯y discussed. KEY WORDS Gibbs paradox; entropy of mixing; mixing of quantum states; symmetry; similarity; distinguishability 1. INTRODUCTION The Gibbs paradox of mixing says that the entropy of mixing decreases discontinuouslywith an increase in similarity, with a zero value for mixing of the most similar or indistinguishable subsystems: The isobaric and isothermal mixing of one mole of an ideal ¯uid A and one mole of a different ideal ¯uid B has the entropy increment 1 (∆S)distinguishable = 2R ln 2 = 11.53 J K− (1) where R is the gas constant, while (∆S)indistinguishable = 0(2) for the mixing of indistinguishable ¯uids [1±10]. -
Thermodynamic Properties of Solid and Liquid Ethylbenzene from 0 to 300 Degrees K
U. S. DEPARTMENT OF COMMERCE NATIONAL BUREAU OF STANDARDS RESEARCH PAPER RP1684 Part of Journal of Research of the National Bureau of Standards, Volume 35, December 1945 THERMODYNAMIC PROPERTIES OF SOLID AND LIQUID ETHYLBENZENE FROM 0° TO 300° K By Russell B. Scott and Ferdinand C. Brickwedde ABSTRACT The following properties of a sample of high purity ethylbenzene were measured: (1) Specific heat of solid and liquid from 15 0 to 3000 Ie; (2) triple-point tempera ture (-95.005 ±0.01O° C for pure ethyl benzene) ; (3) heat of fusion (86.47 into i g -1); (4) heat of vaporization at 2940 Ie (400.15 into j g -1); and (5) vapor pres sure from 273 0 to 296 0 Ie. With these experimental data, the enthalpy and entropy of the solid and of the liquid in the range 0 0 to 3000 Ie were calculated. CONTENTS Page I. Introduction ______ ____ ___ _____ _______ ____________ ___________ __ 501 II. Purification of the sample_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ __ _ 502 III. Calorimetric measurements _____ _________ _______ __ ______ _____ ____ 502 1. Apparatus ________________ __ __ __________________ _______ _ 502 2. Specific heat of solid and liquid ___ _____________ ________ ___ 503 3. Heat of fusion and triple-point temperature ___ _______ ______ _ 505 4. Heat of vaporization ____ ___ ____ _______ _______ ____ ___ ___ __ 506 IV. -
Estimation of Thermodynamic Data for Metallurgical Applications
Thermochimica Acta 314 (1998) 1±21 Estimation of thermodynamic data for metallurgical applications P.J. Spencer* Lehrstuhl fuÈr Theoretische Hhttenkunde, RWTH Aachen, D-52056 Aachen, Germany Received 10 October 1997; accepted 24 November 1997 Abstract The ever growing need to develop new materials for speci®c applications is leading to increased demand for thermodynamic values which have not been measured so far. This necessitates the use of estimated values for evaluating the feasibility or suitability of different proposed processes for producing materials with particular compositions and properties. Methods for estimating thermodynamic properties of inorganic and metallic substances are presented in this paper. A general categorization into estimation methods for heat capacities, entropies and enthalpies of formation has been used. Some comparisons of estimated values with experimental data are presented and possible future developments in estimation techniques are discussed. # 1998 Elsevier Science B.V. Keywords: Alloys; Enthalpy; Entropy; Heat capacity; Inorganic compounds; Metallurgy; Thermodynamic data 1. Introduction been written with the aim of providing missing data from the more limited information available. The present-day availability of advanced, user- Experience is required to enable the best choice of friendly commercial software considerably facilitates estimation method to be made in each particular case, the thermodynamic calculation of reaction equilibria, and if necessary to develop new methods. A selection even invery complex systems. However, published data of current methods used to estimate thermodynamic for many substances and systems of practical interest values for both pure stoichiometric substances and are still not complete, especially in the ever-widening solution phases of different types, as well as some ®eld of materials chemistry, where reliable thermo- examples of their application, are given in this paper.