Thermodiffusion in Multicomponent Mixtures

Thermodynamic, Algebraic, and Neuro-Computing Models de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2012-11-13

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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.
Pages
106 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2012-11-13
Marque
Springer
EAN papier
9781461455981
EAN EPUB
9781461455998

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
799 Ko
Prix
52,74 €