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Thermodiffusion in Multicomponent Mixtures

Thermodynamic, Algebraic, and Neuro-Computing Models

  • Book
  • © 2013

Overview

Authors:
  1. Seshasai Srinivasan

    1. , Department of Mathematics, McMaster University, Hamilton, Canada

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  2. M. Ziad Saghir

    1. , Department of Mechanical and, Ryerson University, Toronto, Canada

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    You can also search for this author in PubMed   Google Scholar

  • Provides a thorough review of thermodiffusion approproate for a wide range of readers from graduate students through advanced researchers/practitioners
  • Considers different types of mixtures including hydrocarbons, polymers, water-alcohol, and metals
  • Presents a concise, one-stop reference on the theoretical formulation thermodiffusion from multiple perspectives
  • Includes exhaustive discussion of methodologic applications and outcomes several investigations
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Thermal Engineering and Applied Science (BRIEFSTHERMAL)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Seshasai Srinivasan, M. Ziad Saghir
    Pages 1-9

  3. Thermodiffusion Models

    • Seshasai Srinivasan, M. Ziad Saghir
    Pages 11-55

  4. Application of LNET Models to Study Thermodiffusion

    • Seshasai Srinivasan, M. Ziad Saghir
    Pages 57-64

  5. CFD Studies in Thermodiffusion

    • Seshasai Srinivasan, M. Ziad Saghir
    Pages 65-76

  6. Application of Algebraic Correlations to Study Thermodiffusion

    • Seshasai Srinivasan, M. Ziad Saghir
    Pages 77-85

  7. Application of Neurocomputing Models to Study Thermodiffusion

    • Seshasai Srinivasan, M. Ziad Saghir
    Pages 87-103

  8. Back Matter

    Pages 105-106
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Keywords

About this book

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.

Reviews

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)

Authors and Affiliations

  • , Department of Mathematics, McMaster University, Hamilton, Canada

    Seshasai Srinivasan

  • , Department of Mechanical and, Ryerson University, Toronto, Canada

    M. Ziad Saghir

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