Volume 120, Issue 6 pp. 3421-3434

Development of new concepts for the control of polymerization processes: Multiobjective optimization and decision engineering. II. Application of a Choquet integral to an emulsion copolymerization process

Mauricio Camargo

Corresponding Author

Mauricio Camargo

Equipe de Recherche des Processus Innovatifs, Nancy-Université, EA 3767 8, rue Bastien Lepage, 54010 Nancy Cedex, France

Equipe de Recherche des Processus Innovatifs, Nancy-Université, EA 3767 8, rue Bastien Lepage, 54010 Nancy Cedex, France===Search for more papers by this author
Laure Morel

Laure Morel

Equipe de Recherche des Processus Innovatifs, Nancy-Université, EA 3767 8, rue Bastien Lepage, 54010 Nancy Cedex, France

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Christian Fonteix

Christian Fonteix

LRGP Laboratoire de la Réaction et le Génie de Procédés, ENSIC-INPL-CNRS, 1, Nancy-Université, rue Grandville, BP20451, 54001 Nancy Cedex, France

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Sandrine Hoppe

Sandrine Hoppe

LRGP Laboratoire de la Réaction et le Génie de Procédés, ENSIC-INPL-CNRS, 1, Nancy-Université, rue Grandville, BP20451, 54001 Nancy Cedex, France

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Guo-Hua Hu

Guo-Hua Hu

LRGP Laboratoire de la Réaction et le Génie de Procédés, ENSIC-INPL-CNRS, 1, Nancy-Université, rue Grandville, BP20451, 54001 Nancy Cedex, France

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Jean Renaud

Jean Renaud

Equipe de Recherche des Processus Innovatifs, Nancy-Université, EA 3767 8, rue Bastien Lepage, 54010 Nancy Cedex, France

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First published: 14 February 2011
Citations: 9

Abstract

In polymer industry, engineers seek to obtain polymers with prescribed end-use properties, high productivities, and low cost. Thus, the optimization of a manufacturing process with all those goals and constraints belongs to a problem domain that aims to achieve the best trade-off possible. This article concerns the optimization of the batch emulsion polymerization of styrene and α-methylstyrene. An accurate model was developed to describe the complete patterns of the emulsion polymerization. Key parameters of the model were identified on the basis of batch experimental data. The model was then used to simulate, under several operating conditions, the polymerization rate, the overall conversion of monomers, and the number and weight-average molecular weights. Amulticriteria optimization approach based on an evolutionary algorithm and the concept of dominance from the Pareto frontier theory was used. Last, a decision aid system based on the Choquet integral was proposed to determine the optimal operating conditions with the preferences of the decision maker taken into account. © 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2011

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