Thermodiffusion in Multicomponent Mixtures - Thermodynamic, Algebraic, and Neuro-Computing Models (Paperback, 2013 ed.)

Thermodiffusion in Multicomponent Mixtures presents the computational approaches that are employed in the study of thermodiffusion in various types of mixtures, namely, hydrocarbons, polymers, water-alcohol, molten metals, and so forth. We present a detailed formalism of these methods that are based on non-equilibrium thermodynamics or algebraic correlations or principles of the artificial neural network. The book will serve as single complete reference to understand the theoretical derivations of thermodiffusion models and its application to different types of multi-component mixtures. An exhaustive discussion of these is used to give a complete perspective of the principles and the key factors that govern the thermodiffusion process.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	November 2012
First published:	2013
Authors:	Seshasai Srinivasan • M. Ziad Saghir
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	106
Edition:	2013 ed.
ISBN-13:	978-1-4614-5598-1
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Science & Mathematics > Chemistry > Physical chemistry > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
LSN:	1-4614-5598-7
Barcode:	9781461455981

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