LrgpV1, Main, Exploration, bibRecord, 000C00

Multicriteria dynamic optimization of an emulsion copolymerization reactor

Identifieur interne : 000C00 ( Main/Exploration ); précédent : 000B99; suivant : 000C01

Multicriteria dynamic optimization of an emulsion copolymerization reactor

Auteurs : B. Benyahia [France] ; M. A. Latifi [France] ; C. Fonteix [France] ; F. Pla [France]

Source :

Computers & chemical engineering [ 0098-1354 ] ; 2011.

RBID : Pascal:12-0017284

Descripteurs français

Pascal (Inist)
- Copolymérisation émulsion, Politique optimale, Réacteur chimique, Productivité, Conversion, Transition vitreuse, Système aide décision, Préférence, Théorie utilité, Commande optimale, Styrène, Monomère, Structure coeur couche, Programmation multiobjectif, Programmation dynamique, Algorithme génétique, Algorithme évolutionniste, Modélisation, Minimisation, Optimum Pareto, Prise de décision, Etude expérimentale, Utilité multiattribut.
Wicri :
- topic : Productivité, Prise de décision.

English descriptors

Abstract

A multicriteria optimization approach based on an evolutionary algorithm has been developed to determine the optimal control policy for a fed-batch emulsion copolymerization reactor, particularly for styrene and butyl acrylate in the presence of n-C12 mercaptan as chain transfer agent. The process model was elaborated and validated experimentally in order to predict the global monomer conversion, the number and weight average molecular weights, the particle size distribution and the residual monomers mass fraction. The process objectives were to produce core-shell particles (hard core and smooth shell) with specific end-use properties and high productivity. This has been achieved by the maximization of the monomers overall conversion at the end of the process and the minimization of the error between the glass transition temperature and a designed profile subject to a set of operational constraints. The nondominated Pareto solutions obtained were ranked according to a decision making aid method based on a decision maker preferences and experience using multi-attribute utility theory. Finally, the best solution was implemented experimentally.

Url:

https://hal.archives-ouvertes.fr/hal-00777410

Affiliations:

Le document en format XML

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<front><div type="abstract" xml:lang="en">A multicriteria optimization approach based on an evolutionary algorithm has been developed to determine the optimal control policy for a fed-batch emulsion copolymerization reactor, particularly for styrene and butyl acrylate in the presence of n-C12 mercaptan as chain transfer agent. The process model was elaborated and validated experimentally in order to predict the global monomer conversion, the number and weight average molecular weights, the particle size distribution and the residual monomers mass fraction. The process objectives were to produce core-shell particles (hard core and smooth shell) with specific end-use properties and high productivity. This has been achieved by the maximization of the monomers overall conversion at the end of the process and the minimization of the error between the glass transition temperature and a designed profile subject to a set of operational constraints. The nondominated Pareto solutions obtained were ranked according to a decision making aid method based on a decision maker preferences and experience using multi-attribute utility theory. Finally, the best solution was implemented experimentally.</div>
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Multicriteria dynamic optimization of an emulsion copolymerization reactor

Multicriteria dynamic optimization of an emulsion copolymerization reactor

Source :

Descripteurs français

English descriptors

Abstract

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Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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