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Gibbs' Entropic Paradox and Problems of Separation Processes reviews the so-called Gibb’s Paradox observed during the mixing of two systems. During the last 150 years, many phys… Read more
SUSTAINABLE DEVELOPMENT
Save up to 30% on top Physical Sciences & Engineering titles!
Gibbs' Entropic Paradox and Problems of Separation Processes reviews the so-called Gibb’s Paradox observed during the mixing of two systems. During the last 150 years, many physicists and specialists in thermodynamics, statistical and quantum mechanics been engaged in the solution of the Gibbs paradox. Many books and journal articles have written on this topic, but a widely accepted answer is still lacking. In this book, the author reviews and analyzes all this data. Based on findings, the book formulates a different approach to this paradox and substantiates it on the basis of physical and statistical principles.
The book clearly shows that entropy consists of two parts, static and dynamic. Up to now, entropy has been connected only with the process dynamics. However, the Gibbs paradox is caused by the change in the static component of entropy. Finally, the book includes examples of separation processes and how to optimize them in various fields, including biology, cosmology, crystallography and the social sciences.
Students, doctoral candidates and scientists and specialists in the fields of thermodynamics statistical physics; biology; crystallography; astronomy; all other fields using the entropy parameter; mining engineering; metallurgy; electronics; modern ceramics
Chapter 1. Peculiarities of Thermodynamic Regularities Formation
Chapter 2. Brief Review of Thermodynamic Regularities
Chapter 3. The Gibbs Paradox and Attempts of Its Solution
Chapter 4. Solution of the Gibbs Paradox and Related Problems
Chapter 5. Available Quality Criteria for Separation Processes
Chapter 6. Generalized Optimization Criterion for Separation Processes
Chapter 7. Multistage Separation Mechanism
Chapter 8. Practical Application of the Obtained Results
Chapter 9. Analysis of the Obtained Results and Summing-up
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