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Thermodiffusion in Multicomponent Mixtures

Thermodynamic, Algebraic, and Neuro-Computing Models

Seshasai Srinivasan M. Ziad Saghir

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English
Springer-Verlag New York Inc.
13 November 2012
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.
By:   ,
Imprint:   Springer-Verlag New York Inc.
Country of Publication:   United States
Edition:   2013 ed.
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 6mm
Weight:   454g
ISBN:   9781461455981
ISBN 10:   1461455987
Series:   SpringerBriefs in Applied Sciences and Technology
Pages:   106
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Seshasai Srinvasan, Ryerson University, seshasai.srinivasan@ryerson.ca M. Ziad Saghir, Ryerson University, zsaghir@ryerson.ca

Reviews for Thermodiffusion in Multicomponent Mixtures: Thermodynamic, Algebraic, and Neuro-Computing Models

From the reviews: “This short monograph refers to an important transport phenomenon in multicomponent mixtures, which stems from a competition between the Soret effect (thermodiffusion in the case of a nonuniform temperature distribution) and the Fickian diffusion process due to concentration gradients. … The book is written from the physicist’s point of view and its addressees are professionals in thermal engineering and material science, plus postdoctoral researchers and graduate students of physics and applied science faculties.” (Piotr Garbaczewski, Zentralblatt MATH, Vol. 1263, 2013)


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