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Modern Engineering Thermodynamics

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CHAPTER 18<br />

Introduction to Statistical <strong>Thermodynamics</strong><br />

CONTENTS<br />

18.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 727<br />

18.2 Why Use a Statistical Approach? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 728<br />

18.3 Kinetic Theory of Gases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 728<br />

18.4 Intermolecular Collisions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 732<br />

18.5 Molecular Velocity Distributions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 734<br />

18.6 Equipartition of Energy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 738<br />

18.7 Introduction to Mathematical Probability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741<br />

18.8 Quantum Statistical <strong>Thermodynamics</strong> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 747<br />

18.9 Three Classical Quantum Statistical Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 749<br />

18.10 Maxwell-Boltzmann Gases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 750<br />

18.11 Monatomic Maxwell-Boltzmann Gases. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 751<br />

18.12 Diatomic Maxwell-Boltzmann Gases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 753<br />

18.13 Polyatomic Maxwell-Boltzmann Gases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 756<br />

Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758<br />

18.1 INTRODUCTION<br />

In this chapter, we explore some of the basic concepts of statistical thermodynamics that lead to useful engineering<br />

results. In Chapter 2, we discuss the difference between microscopic and macroscopic systems and note that classical<br />

thermodynamics is based on a continuum macroscopic system approach. Recognition of the existence of atoms<br />

and molecules was not necessary for the development of classical thermodynamics, the results of which are valid<br />

for all processes in which the continuum hypothesis holds. Statistical thermodynamics, on the other hand, is<br />

based on the use of standard statistical methods in the analysis of molecular behavior and, therefore, corresponds<br />

to a microscopic system approach.<br />

There are four basic attributes of statistical thermodynamics. First, it can be used to explain certain apparent<br />

discontinuities in physical behavior, such as superconductivity. Second, it can be used to extend classical thermodynamic<br />

results into regions where the continuum hypothesis is no longer valid, as in the case of rarefied<br />

gases. Third, it can often provide a molecular interpretation of physical phenomena that are observed at the<br />

macroscopic level but originate at the molecular level (such as fluid viscosity). Fourth and perhaps most important,<br />

it can function as a tool to provide accurate equations of state that describe the behavior of nonmeasurable<br />

thermodynamic properties, such as internal energy, enthalpy, and entropy, as a function of measurable properties,<br />

such as pressure, temperature, and density, without resorting to experimental measurements. These<br />

<strong>Modern</strong> <strong>Engineering</strong> <strong>Thermodynamics</strong>. DOI: 10.1016/B978-0-12-374996-3.00018-X<br />

© 2011 Elsevier Inc. All rights reserved. 727

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