LrgpV1, PascalFrancis, Curation, bibRecord, 000A10

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

Identifieur interne : 000A10 ( PascalFrancis/Curation ); précédent : 000A09; suivant : 000A11

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

Auteurs : Mauricio Camargo [France] ; Laure Morel [France] ; Christian Fonteix [France] ; Sandrine Hoppe [France] ; Guo-Hua Hu [France] ; Jean Renaud [France]

Source :

Journal of applied polymer science [ 0021-8995 ] ; 2011.

RBID : Pascal:12-0412861

Descripteurs français

Pascal (Inist)
- Condition mise en oeuvre, Optimisation, Copolymérisation émulsion, Styrène copolymère, Styrène(alpha-méthyl) copolymère, Cinétique, Modèle cinétique, Copolymérisation radicalaire, En discontinu, Analyse multicritère, Simulation numérique, Etude théorique, Vérification expérimentale, Modélisation.

English descriptors

KwdEn :
- Batchwise, Emulsion copolymerization, Experimental test, Kinetic model, Kinetics, Modeling, Multicriteria analysis, Numerical simulation, Optimization, Processing parameter, Radical copolymerization, Styrene copolymer, Styrene(alpha-methyl) copolymer, Theoretical study.

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. A multicriteria 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.

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A03		`1`		`@0 J. appl. polym. sci.`
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A08	`01`	`1`	`ENG`	`@1 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`
A11	`01`	`1`		`@1 CAMARGO (Mauricio)`
A11	`02`	`1`		`@1 MOREL (Laure)`
A11	`03`	`1`		`@1 FONTEIX (Christian)`
A11	`04`	`1`		`@1 HOPPE (Sandrine)`
A11	`05`	`1`		`@1 HU (Guo-Hua)`
A11	`06`	`1`		`@1 RENAUD (Jean)`
A14	`01`			`@1 Equipe de Recherche des Processus Innovatifs, Nancy-Université, EA 3767 8, rue Bastien Lepage @2 54010 Nancy @3 FRA @Z 1 aut. @Z 2 aut. @Z 6 aut.`
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A44				`@0 0000 @1 © 2012 INIST-CNRS. All rights reserved.`
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C01	`01`		`ENG`	@0 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. A multicriteria 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.
C02	`01`	`X`		`@0 001D10A02B`
C03	`01`	`X`	`FRE`	`@0 Condition mise en oeuvre @5 01`
C03	`01`	`X`	`ENG`	`@0 Processing parameter @5 01`
C03	`01`	`X`	`SPA`	`@0 Condición puesta en ejecución @5 01`
C03	`02`	`X`	`FRE`	`@0 Optimisation @5 02`
C03	`02`	`X`	`ENG`	`@0 Optimization @5 02`
C03	`02`	`X`	`SPA`	`@0 Optimización @5 02`
C03	`03`	`X`	`FRE`	`@0 Copolymérisation émulsion @5 03`
C03	`03`	`X`	`ENG`	`@0 Emulsion copolymerization @5 03`
C03	`03`	`X`	`SPA`	`@0 Copolimerización emulsión @5 03`
C03	`04`	`X`	`FRE`	`@0 Styrène copolymère @2 NK @5 04`
C03	`04`	`X`	`ENG`	`@0 Styrene copolymer @2 NK @5 04`
C03	`04`	`X`	`SPA`	`@0 Estireno copolímero @2 NK @5 04`
C03	`05`	`X`	`FRE`	`@0 Styrène(alpha-méthyl) copolymère @2 NK @5 05`
C03	`05`	`X`	`ENG`	`@0 Styrene(alpha-methyl) copolymer @2 NK @5 05`
C03	`05`	`X`	`SPA`	`@0 Estireno(alfa-metil) copolímero @2 NK @5 05`
C03	`06`	`X`	`FRE`	`@0 Cinétique @5 06`
C03	`06`	`X`	`ENG`	`@0 Kinetics @5 06`
C03	`06`	`X`	`SPA`	`@0 Cinética @5 06`
C03	`07`	`X`	`FRE`	`@0 Modèle cinétique @5 07`
C03	`07`	`X`	`ENG`	`@0 Kinetic model @5 07`
C03	`07`	`X`	`SPA`	`@0 Modelo cinético @5 07`
C03	`08`	`X`	`FRE`	`@0 Copolymérisation radicalaire @5 08`
C03	`08`	`X`	`ENG`	`@0 Radical copolymerization @5 08`
C03	`08`	`X`	`SPA`	`@0 Copolimerización radical @5 08`
C03	`09`	`X`	`FRE`	`@0 En discontinu @5 09`
C03	`09`	`X`	`ENG`	`@0 Batchwise @5 09`
C03	`09`	`X`	`SPA`	`@0 En discontinuo @5 09`
C03	`10`	`X`	`FRE`	`@0 Analyse multicritère @5 10`
C03	`10`	`X`	`ENG`	`@0 Multicriteria analysis @5 10`
C03	`10`	`X`	`SPA`	`@0 Análisis multicriterio @5 10`
C03	`11`	`X`	`FRE`	`@0 Simulation numérique @5 11`
C03	`11`	`X`	`ENG`	`@0 Numerical simulation @5 11`
C03	`11`	`X`	`SPA`	`@0 Simulación numérica @5 11`
C03	`12`	`X`	`FRE`	`@0 Etude théorique @5 12`
C03	`12`	`X`	`ENG`	`@0 Theoretical study @5 12`
C03	`12`	`X`	`SPA`	`@0 Estudio teórico @5 12`
C03	`13`	`X`	`FRE`	`@0 Vérification expérimentale @5 13`
C03	`13`	`X`	`ENG`	`@0 Experimental test @5 13`
C03	`13`	`X`	`SPA`	`@0 Verificación experimental @5 13`
C03	`14`	`X`	`FRE`	`@0 Modélisation @5 31`
C03	`14`	`X`	`ENG`	`@0 Modeling @5 31`
C03	`14`	`X`	`SPA`	`@0 Modelización @5 31`
N21				`@1 317`

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Le document en format XML

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<front><div type="abstract" xml:lang="en">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. A multicriteria 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.</div>
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<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Styrène copolymère</s0>
<s2>NK</s2>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Styrene copolymer</s0>
<s2>NK</s2>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Estireno copolímero</s0>
<s2>NK</s2>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Styrène(alpha-méthyl) copolymère</s0>
<s2>NK</s2>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Styrene(alpha-methyl) copolymer</s0>
<s2>NK</s2>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Estireno(alfa-metil) copolímero</s0>
<s2>NK</s2>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Cinétique</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Kinetics</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Cinética</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Modèle cinétique</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Kinetic model</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Modelo cinético</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Copolymérisation radicalaire</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Radical copolymerization</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Copolimerización radical</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>En discontinu</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Batchwise</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>En discontinuo</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Analyse multicritère</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Multicriteria analysis</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Análisis multicriterio</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Simulation numérique</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Numerical simulation</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Simulación numérica</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Etude théorique</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Theoretical study</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Estudio teórico</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Vérification expérimentale</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Experimental test</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Verificación experimental</s0>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>31</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Modeling</s0>
<s5>31</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Modelización</s0>
<s5>31</s5>
</fC03>
<fN21><s1>317</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

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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

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

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