Thermodiffusion in Multicomponent Mixtures [electronic resource] : Thermodynamic, Algebraic, and Neuro-Computing Models / by Seshasai Srinivasan, M. Ziad Saghir.
Tipo de material:
TextoSeries SpringerBriefs in Applied Sciences and TechnologyEditor: New York, NY : Springer New York : Imprint: Springer, 2013Descripción: XI, 106 p. 41 illus., 5 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781461455998Trabajos contenidos: SpringerLink (Online service)Tema(s): Engineering | Chemistry, Physical organic | Hydraulic engineering | Engineering | Engineering Thermodynamics, Heat and Mass Transfer | Engineering Fluid Dynamics | Physical Chemistry | Energy, generalFormatos físicos adicionales: Sin títuloClasificación CDD: 621.4021 Clasificación LoC:TJ265QC319.8-338.5Recursos en línea: de clik aquí para ver el libro electrónico 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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