ENSICEcole Nationale Supérieure des Industries Chimiques de Nancy (French)
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Rohani a travaille pour l'industrie petrochimique irano-japonaise, de 1978 a 1980, l'Institut federal suisse de technologie de Zurich, de 1980 a 1982, et a l'Ecole nationale superieure des industries chimiques (ENSIC) de Nancy, en France, en 1996.
Coupling in Sorption Based on Engaged Species Induced Clustering (ENSIC) Model
On the basis of ENSIC model solvent, coupling may be defined in terms of coupling factor (CF), that is,
Where, C[F.sub.1] is coupling factor of component 1, [[phi].sub.1expt] is experimental volume fraction of solvent 1 in ternary solvent 1-solvent 2-membrane system and [[phi].sub.1binary] is volume fraction of the same solvent in solvent--membrane binary system theoretically interpolated from ENSIC model (25).
(1.) Laboratory of Reactions and Process Engineering, CNRS-University of Lorraine, ENSIC, 54001 Nancy, France
(2.) Laboratory of Reactions and Process Engineering, Nancy - Universite, CNRS - ENSIC - INPL, 1 rue Grandville BP 20451, Nancy 54001, France
Among the recent studies of the membranes we can very quickly list the following: Reverse osmosis concentration of apple juice aroma components by using composite polyamide membranes [1] Ultrafiltration of milk, to evaluate and predict total flux, rejection of milk components, and total hydraulic resistance by applying neural network strategies [2] Separation of MeOH-MTBE [3] and EtOH-ETBE [4] mixtures by pervaporation and subsequent prediction of fluxes by the engaged species induced clustering (ENSIC) model.
Several strategies have been used to answer those questions, as the use of neural networks, and thermodynamic models, such as the ENSIC one.
Laboratoire de Chimie Physique Macromoleculaire, UMR 7568, Nancy-University, CNRS, Groupe ENSIC, 54001 Nancy cedex, France