Thermodiffusion in Multicomponent Mixtures [electronic resource] : Thermodynamic, Algebraic, and Neuro-Computing Models / by Seshasai Srinivasan, M. Ziad Saghir.

By: Srinivasan, Seshasai [author.]Contributor(s): Saghir, M. Ziad [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: SpringerBriefs in Applied Sciences and Technology: Publisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: XI, 106 p. 41 illus., 5 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781461455998Subject(s): Engineering | Chemistry, Physical organic | Hydraulic engineering | Engineering | Engineering Thermodynamics, Heat and Mass Transfer | Engineering Fluid Dynamics | Physical Chemistry | Energy, generalAdditional physical formats: Printed edition:: No titleDDC classification: 621.4021 LOC classification: TJ265QC319.8-338.5Online resources: Click here to access online
Contents:
Introduction -- Thermodiffusion Models -- Application of LNET Models to Study Thermodiffusion -- CFD Studies in Thermodiffusion -- Application of Algebraic Correlations to Study Thermodiffusion -- Application of Neurocomputing Models to Study Thermodiffusion.  .
In: Springer eBooksSummary: 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.
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Introduction -- Thermodiffusion Models -- Application of LNET Models to Study Thermodiffusion -- CFD Studies in Thermodiffusion -- Application of Algebraic Correlations to Study Thermodiffusion -- Application of Neurocomputing Models to Study Thermodiffusion.  .

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.

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