The Second Law 2
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Using the Vapor Pressure of Pure Volatile Organic Compounds to Predict the Enthalpy of Vaporization and Computing the Entropy of Vaporization
Open Access Library Journal Using the Vapor Pressure of Pure Volatile Organic Compounds to Predict the Enthalpy of Vaporization and Computing the Entropy of Vaporization Shawn M. Abernathy, Kelly R. Brown Department of Chemistry, Howard University, Washington DC, USA Email: [email protected] Received 5 September 2015; accepted 21 September 2015; published 28 September 2015 Copyright © 2015 by authors and OALib. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract The objective of this investigation was to develop a vapor pressure (VP) acquisition system and methodology for performing temperature-dependent VP measurements and predicting the en- thalpy of vaporization (ΔHvap) of volatile organic compounds, i.e. VOCs. High quality VP data were acquired for acetone, ethanol, and toluene. VP data were also obtained for water, which served as the system calibration standard. The empirical VP data were in excellent agreement with its ref- erence data confirming the reliability/performance of the system and methodology. The predicted values of ΔHvap for water (43.3 kJ/mol, 1.0%), acetone (31.4 kJ/mol; 3.4%), ethanol (42.0 kJ/mol; 1.0%) and toluene (35.3 kJ/mol; 5.4%) were in excellent agreement with the literature. The com- puted values of ΔSvap for water (116.0 J/mol∙K), acetone (95.2 J/mol∙K), ethanol (119.5 J/mol∙K) and toluene (92.0.J/mol∙K) compared also favorably to the literature. Keywords Vapor Pressure (VP), Enthalpy of Vaporization, Entropy of Vaporization, Volatile Organic Compounds (VOCs), Predict Subject Areas: Physical Chemistry 1. -
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. -
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. -
CHAPTER 12: Thermodynamics Why Chemical Reactions Happen
4/3/2015 CHAPTER 12: Thermodynamics Why Chemical Reactions Happen A tiny fraction of the sun's energy is used to produce complicated, ordered, high- Useful energy is being "degraded" in energy systems such as life the form of unusable heat, light, etc. • Our observation is that natural processes proceed from ordered, high-energy systems to disordered, lower energy states. • In addition, once the energy has been "degraded", it is no longer available to perform useful work. • It may not appear to be so locally (earth), but globally it is true (sun, universe as a whole). 1 4/3/2015 Thermodynamics - quantitative description of the factors that drive chemical reactions, i.e. temperature, enthalpy, entropy, free energy. Answers questions such as- . will two or more substances react when they are mixed under specified conditions? . if a reaction occurs, what energy changes are associated with it? . to what extent does a reaction occur to? Thermodynamics does NOT tell us the RATE of a reaction Chapter Outline . 12.1 Spontaneous Processes . 12.2 Entropy . 12.3 Absolute Entropy and Molecular Structure . 12.4 Applications of the Second Law . 12.5 Calculating Entropy Changes . 12.6 Free Energy . 12.7 Temperature and Spontaneity . 12.8 Coupled Reactions 4 2 4/3/2015 Spontaneous Processes A spontaneous process is one that is capable of proceeding in a given direction without an external driving force • A waterfall runs downhill • A lump of sugar dissolves in a cup of coffee • At 1 atm, water freezes below 0 0C and ice melts above 0 0C • Heat flows -
THE ENTROPY of VAPORIZATION AS a MBANS of DIS- Tinguismg NORIKAL LIQUIDS
970 JOEL H. HILDEBRAND. iodide solution are shown to give a constant e. m. f. when measured against an unpolarizable electrode. Freshly cast rods of cadmium are shown to attain this value with time. 4. The behavior of cadmium electrodes in concentration cells is ex- plained as due to an allotropic change. 5. Crystalline electrolytic deposits of cadmium on cadmium rods or platinum are shown to give a reproducible e. m. f. when measured against an unpolarizsMe ekctrode. This e. m. f. is, however, slightly higher than that given by the gray cadmium electrodes. Amalgamated electrodes are not reproducible. 6. Photomicrographs indicate a change in crystalline form and con- firm the conclusions drawn from the e. m. f. measurements. 7. Attempts to inoculate the surface of the freshly cast cadmium with the stable rnaatian indicate that the action is extremely slow. 8. Phobmicrogtsphs indicate that in all cases the change is due to a deposit upon the surface htead of to a pitting of the surface. LHEMICALLAJJOUT~BT, BSYN MAWRCOLLBGE, BlYN MAWR. PA [CONTRIBUTION FROM THE CHEMICAL LABOBATORYOF TaS UNIVERSITY OF cALlmRNIA. I THE ENTROPY OF VAPORIZATION AS A MBANS OF DIS- TINGUISmG NORIKAL LIQUIDS. BY JOSL H. HILDSBRAND. Received February 23. 1915. In a series of studies which we are making on the theory of solutions, it has become necessary to distinguish between deviations from Raoult’s Law, whose cause may be considered physical, and those due to chemical changes. As has been pointed out it1 a previous paper,’ the choice be- tween the alternatives in a given case is possible if we know whether or not the pure liquids are associated. -
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. -
Jgt3 R:. A) -2ZJ(6 .' .'
2 1. (24) a. In the diagram below to the to the right, helium atoms are represented by unshaded spheres, neon atoms by gray spheres, and argon atoms by black spheres. If the total pressure in the container is 900 mm Hg, wh at is the parti~ressure of helium? A) 90 mm Hg ~ 180 mm HgC) 270 mm Hg D) 450 mm Hg • 0 o b. Which of the following is not a ~ e function? O. A) enthalpy ® heat C) internal energy D) volume .0.o c. Which one of the followin g~ ses will have the high est rate of effusion? A) N02 ~ N20 C) N204 D) N03 SF(" '$ ,..""I"' DI A-r:: Q09/mol d. At what temperature will sulfur hexafluoride molecules have th e same average speed as argon atoms at 20°C? JGt3 r:. A) -2ZJ(6 B) 73.2° C C) 381 °C @ 799°C e. Which substance in each of the following pairs is expected to have the larger dispersion forces? I BrZ o r I Z '" ""o'o....r~SS ~ A) Br2 in set I and n-butane in set" H H H H B) Br2 in set 1 and isobutane in set II I I I I © 12 in set I and n-butane in set" I I E-t-C----,:::-C-C-H o r H I I I I I D) 12 in set I and isobutane in set II H H H H H-C- C---C-H n- bu t ane I I I H H H l.sDbut a na f. -
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. -
Entropy and Free Energy
Spontaneous Change: Entropy and Free Energy 2nd and 3rd Laws of Thermodynamics Problem Set: Chapter 20 questions 29, 33, 39, 41, 43, 45, 49, 51, 60, 63, 68, 75 The second law of thermodynamics looks mathematically simple but it has so many subtle and complex implications that it makes most chemistry majors sweat a lot before (and after) they graduate. Fortunately its practical, down-to-earth applications are easy and crystal clear. We can build on those to get to very sophisticated conclusions about the behavior of material substances and objects in our lives. Frank L. Lambert Experimental Observations that Led to the Formulation of the 2nd Law 1) It is impossible by a cycle process to take heat from the hot system and convert it into work without at the same time transferring some heat to cold surroundings. In the other words, the efficiency of an engine cannot be 100%. (Lord Kelvin) 2) It is impossible to transfer heat from a cold system to a hot surroundings without converting a certain amount of work into additional heat of surroundings. In the other words, a refrigerator releases more heat to surroundings than it takes from the system. (Clausius) Note 1: Even though the need to describe an engine and a refrigerator resulted in formulating the 2nd Law of Thermodynamics, this law is universal (similarly to the 1st Law) and applicable to all processes. Note 2: To use the Laws of Thermodynamics we need to understand what the system and surroundings are. Universe = System + Surroundings universe Matter Surroundings (Huge) Work System Matter, Heat, Work Heat 1. -
Atkins' Physical Chemistry
Statistical thermodynamics 2: 17 applications In this chapter we apply the concepts of statistical thermodynamics to the calculation of Fundamental relations chemically significant quantities. First, we establish the relations between thermodynamic 17.1 functions and partition functions. Next, we show that the molecular partition function can be The thermodynamic functions factorized into contributions from each mode of motion and establish the formulas for the 17.2 The molecular partition partition functions for translational, rotational, and vibrational modes of motion and the con- function tribution of electronic excitation. These contributions can be calculated from spectroscopic data. Finally, we turn to specific applications, which include the mean energies of modes of Using statistical motion, the heat capacities of substances, and residual entropies. In the final section, we thermodynamics see how to calculate the equilibrium constant of a reaction and through that calculation 17.3 Mean energies understand some of the molecular features that determine the magnitudes of equilibrium constants and their variation with temperature. 17.4 Heat capacities 17.5 Equations of state 17.6 Molecular interactions in A partition function is the bridge between thermodynamics, spectroscopy, and liquids quantum mechanics. Once it is known, a partition function can be used to calculate thermodynamic functions, heat capacities, entropies, and equilibrium constants. It 17.7 Residual entropies also sheds light on the significance of these properties. 17.8 Equilibrium constants Checklist of key ideas Fundamental relations Further reading Discussion questions In this section we see how to obtain any thermodynamic function once we know the Exercises partition function. Then we see how to calculate the molecular partition function, and Problems through that the thermodynamic functions, from spectroscopic data. -
Optimization Study on the Azeotropic Distillation Process for Isopropyl Alcohol Dehydration
Korean J. Chem. Eng., 23(1), 1-7 (2006) Optimization study on the azeotropic distillation process for isopropyl alcohol dehydration Jungho Cho and Jong-Ki Jeon*,† Department of Chemical Engineering, Dong Yang University, 1, Kyochon-dong, Poongki-eup, Youngju, Gyeongbuk 750-711, Korea *Department of Chemical Engineering, Kongju National University, 182, Shinkwan-dong, Gongju, Chungnam 314-701, Korea (Received 9 August 2005 • accepted 26 November 2005) Abstract−Modeling and optimization work was performed using benzene as an entrainer to obtain a nearly pure an- hydrous isopropyl alcohol product from dilute aqueous IPA mixture through an azeotropic distillation process. NRTL liquid activity coefficient model and PRO/II with PROVISION 6.01, a commercial process simulator, were used to simulate the overall azeotropic distillation process. We determined the total reboiler heat duties as an objective function and the concentration of IPA at concentrator top as a manipulated variable. As a result, 38.7 mole percent of IPA at concentrator top gave the optimum value that minimized the total reboiler heat duties of the three distillation columns. Key words: Azeotropic Distillation, Entrainer, NRTL Liquid Activity Coefficient Model, Simulation, Optimization INTRODUCTION using special distillation. One is to utilize an azeotropic distillation process using benzene or cyclohexane as an entrainer [Font et al., An anhydrous isopropyl alcohol (IPA) product with purity over 2003; Tao et al., 2003; Al-Amer, 2000; Fele et al., 2000] and the 99.9% by weight has been widely used as a raw material of paint other is an extractive distillation process using ethylene glycol as a or ink products and as a solvent in electronic and medicine indus- solvent [Ligero and Ravagnani, 2003; Pinto et al., 2000]. -
Review Entropy: a Measure of the Extent to Which Energy Is Dispersed
Review entropy: a measure of the extent to which energy is dispersed throughout a system; a quantitative (numerical) measure of disorder at the nanoscale; given the symbol S. In brief, processes that increase entropy (ΔS > 0) create more disorder and are favored, while processes that decrease entropy (ΔS < 0) create more order and are not favored. Examples: 1. Things fall apart over time. (constant energy input is required to maintain things) 2. Water spills from a glass, but spilled water does not move back into the glass. 3. Thermal energy disperses from hot objects to cold objects, not from cold to hot. 4. A gas will expand to fill its container, not concentrate itself in one part of the container. Chemistry 103 Spring 2011 Energy disperses (spreads out) over a larger number of particles. Ex: exothermic reaction, hot object losing thermal energy to cold object. Energy disperses over a larger space (volume) by particles moving to occupy more space. Ex: water spilling, gas expanding. Consider gas, liquid, and solid, Fig. 17.2, p. 618. 2 Chemistry 103 Spring 2011 Example: Predict whether the entropy increases, decreases, or stays about the same for the process: 2 CO2(g) 2 CO(g) + O2(g). Practice: Predict whether ΔS > 0, ΔS < 0, or ΔS ≈ 0 for: NaCl(s) NaCl(aq) Guidelines on pp. 617-618 summarize some important factors when considering entropy. 3 Chemistry 103 Spring 2011 Measuring and calculating entropy At absolute zero 0 K (-273.15 °C), all substances have zero entropy (S = 0). At 0 K, no motion occurs, and no energy dispersal occurs.