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Exposition: Basic Principles of Classical and Statistical Thermodynamics

Basic Principles of Classical and Statistical Thermodynamics

Authors: Thomas W. Leland, Jr. and G.A. Mansoori, Department of Chemical Engineering, University of Illinois at Chicago

Uploaded by: bci1

Comments:
35 pages, principles of classical and statistical thermodynamics
Abstract:
Authors' statement (quote): "In the most general sense thermodynamics is the study of energy -- its transformations and its relationship to the properties of matter. In its engineering applications thermodynamics has two major objectives. One of these is to describe the properties of matter when it exists in what is called an equilibrium state, a condition in which its properties show no tendency to change. The other objective is to describe processes in which the properties of matter undergo changes and to relate these changes to the energy transfers in the form of heat and work which accompany them. These objectives are closely related and a text such as this, which emphasizes primarily the description of equilibrium properties, must include as well a discussion of the basic principles involved in accomplishing these two objectives. Thermodynamics is unique among scientific disciplines in that no other branch of science deals with subjects which are as commonplace or as familiar. Concepts such as "heat", "work", "energy", and "properties" are all terms in everyone's basic vocabulary. Thermodynamic laws which govern them originate from very ordinary experiences in our daily lives. One might think that this familiarity would simplify the understanding and application of thermodynamics. Unfortunately, quite the opposite is true." free online download at: http://www.uic.edu/labs/trl/1.OnlineMaterials/BasicPrinciplesByTWLeland.pdf
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Open access: http://www.uic.edu/labs/trl/1.OnlineMaterials/BasicPrinciplesByTWLeland.pdf
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Physics Classification00. (GENERAL)
 02. (Mathematical methods in physics)
 03. (Quantum mechanics, field theories, and special relativity )
 03.65.Fd (Algebraic methods )
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