Thermodiffusion in Multicomponent Mixtures
Subtitle: Thermodynamic, Algebraic, and Neuro-Computing Models
By: by Seshasai Srinivasan, M. Ziad Saghir
Contributors: Saghir, M. Ziad; SpringerLink (Online service)
Series: SpringerBriefs in Applied Sciences and Technology
Publisher: Springer New York; Imprint: Springer
Published: 2013
Place of publication: New York, NY
Language: eng
Format: [electronic resource] :
Number of pages: 106
ISBN-13: 9781461455998
Subjects: Engineering; Heat and Mass Transfer Engineering Thermodynamics; Hydraulic engineering; Physical organic chemistry; Engineering Fluid Dynamics; Physical and theoretical Chemistry; Energy, general
Description: 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.
Table of contents: title: <p>Introduction; title: Thermodiffusion Models; title: Application of LNET Models to Study Thermodiffusion; title: CFD Studies in Thermodiffusion; title: Application of Algebraic Correlations to Study Thermodiffusion; title: Application of Neurocomputing Models to Study Thermodiffusion.  </p>.