Thermodynamic, Algebraic, and Neuro-Computing Models
Edición de la obra Thermodiffusion in Multicomponent Mixtures
| Autor | Seshasai Srinivasan |
|---|---|
| Editorial | Springer New York, Imprint: Springer |
| Fecha de publicación | 2013 |
| Lugar | New York, NY |
| Idioma | inglés |
| Páginas | 106 |
| Formato | [electronic resource] : |
| ISBN-13 | 9781461455998 |
| LCCN | 2012950589 |
| Serie | SpringerBriefs in Applied Sciences and Technology |
| Número de Cutter |
S774t |
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.