TY  - BOOK
AU  - Srinivasan,Seshasai
AU  - Saghir,M.Ziad
ED  - SpringerLink (Online service)
TI  - Thermodiffusion in Multicomponent Mixtures: Thermodynamic, Algebraic, and Neuro-Computing Models 
T2  - SpringerBriefs in Applied Sciences and Technology,
SN  - 9781461455998
AV  - TJ265 
U1  - 621.4021 23
PY  - 2013///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - Engineering
KW  - Energy
KW  - Physical chemistry
KW  - Thermodynamics
KW  - Heat engineering
KW  - Heat transfer
KW  - Mass transfer
KW  - Fluid mechanics
KW  - Engineering Thermodynamics, Heat and Mass Transfer
KW  - Engineering Fluid Dynamics
KW  - Physical Chemistry
KW  - Energy, general
N1  - 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.  
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4614-5599-8
ER  -