Entropic Invariants Of Two Phase Flows


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Entropic Invariants of Two-Phase Flows


Entropic Invariants of Two-Phase Flows

Author: Eugene Barsky

language: en

Publisher: Elsevier

Release Date: 2014-08-14


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In this book, a new approach to the theory and practice of two-phase systems based on a global invariant – entropy, – and other invariants is formulated and experimentally confirmed. - Offers a novel approach to the study of the two-phase flows systems based on statistical mechanics and probability theory - Provides the tools for computing and modelling two-phase systems, predicts mass transfer and enables system optimization - Provides a plethora of examples in among others, separation processes, dust production, pneumatic transport, and boiling bed

Entropy of Complex Processes and Systems


Entropy of Complex Processes and Systems

Author: Eugene Barsky

language: en

Publisher: Elsevier

Release Date: 2020-07-21


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Entropy of Complex Processes and Systems formalizes our understanding of many complex processes, including the development of the methodology of analytical computation of complex processes as applied in many industries, such as ore processing, or more generally, in areas of natural sciences. The adequacy of the results of these calculations is confirmed by numerous experimental data obtained both on pilots and industrial facilities. The book also provides a thorough analysis of the underlying physical foundations of entropy performed from new standpoints that are of interest to theoreticians studying contemporary expositions. - Provides methodologies for controlling and optimizing complex processes in branches of industry that involve transformation of materials or substances - Describes entropy as the universal characteristic of a stochastic process independent of the system - Introduces a new definition of entropy specifically related to dynamical phenomena

Physics and Chance


Physics and Chance

Author: Lawrence Sklar

language: en

Publisher: Cambridge University Press

Release Date: 1993


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Lawrence Sklar offers a comprehensive, non-technical introduction to statistical mechanics and attempts to understand its foundational elements.