Dynamic optimization of semibatch vinyl acetate/acrylic acid suspension copolymerizations
This work performs the dynamic optimization of semibatch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization strategy is based on a direct search Complex algorithm and is used to control the copolymer composition along the batch. First, a sequential...
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Published in | Polymer engineering and science Vol. 50; no. 4; pp. 697 - 708 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.04.2010
Wiley Society of Plastics Engineers, Inc Blackwell Publishing Ltd |
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Online Access | Get full text |
ISSN | 0032-3888 1548-2634 |
DOI | 10.1002/pen.21572 |
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Abstract | This work performs the dynamic optimization of semibatch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization strategy is based on a direct search Complex algorithm and is used to control the copolymer composition along the batch. First, a sequential optimization procedure is used to determine the optimum AA concentration and feed rate profiles, required to provide the specified copolymer composition. In the second step, a sequential optimization procedure is coupled with a predictive controller to guarantee that the manipulation of feed flow rates can allow for attainment of the desired copolymer compositions. The optimization strategy is validated through simulation, by assuming that reactions are subject to perturbations of the reaction temperature, initiator, and VAc concentrations. It is shown that the proposed optimization strategy can be used successfully both for design of monomer feed rate profiles and removal of process disturbances during semibatch suspension copolymerizations, to keep the copolymer composition constant throughout the batch. POLYM. ENG. SCI., 2009. © 2009 Society of Plastics Engineers |
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AbstractList | This work performs the dynamic optimization of semibatch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization strategy is based on a direct search Complex algorithm and is used to control the copolymer composition along the batch. First, a sequential optimization procedure is used to determine the optimum AA concentration and feed rate profiles, required to provide the specified copolymer composition. In the second step, a sequential optimization procedure is coupled with a predictive controller to guarantee that the manipulation of feed flow rates can allow for attainment of the desired copolymer compositions. The optimization strategy is validated through simulation, by assuming that reactions are subject to perturbations of the reaction temperature, initiator, and VAc concentrations. It is shown that the proposed optimization strategy can be used successfully both for design of monomer feed rate profiles and removal of process disturbances during semibatch suspension copolymerizations, to keep the copolymer composition constant throughout the batch. [PUBLICATION ABSTRACT] This work performs the dynamic optimization of semi-batch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization strategy is based on a direct search Complex algorithm and is used to control the copolymer composition along the batch. First, a sequential optimization procedure is used to determine the optimum AA concentration and feed rate profiles, required to provide the specified copolymer composition. In the second step, a sequential optimization procedure is coupled with a predictive controller to guarantee that the manipulation of feed flow rates can allow for attainment of the desired copolymer compositions. The optimization strategy is validated through simulation, by assuming that reactions are subject to perturbations of the reaction temperature, initiator, and VAc concentrations. It is shown that the proposed optimization strategy can be used successfully both for design of monomer feed rate profiles and removal of process disturbances during semibatch suspension copolymerizations, to keep the copolymer composition constant throughout the batch. POLYM. ENG. SCI., 50:697-708, 2010. [C]2009 Society of Plastics Engineers This work performs the dynamic optimization of semibatch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization strategy is based on a direct search Complex algorithm and is used to control the copolymer composition along the batch. First, a sequential optimization procedure is used to determine the optimum AA concentration and feed rate profiles, required to provide the specified copolymer composition. In the second step, a sequential optimization procedure is coupled with a predictive controller to guarantee that the manipulation of feed flow rates can allow for attainment of the desired copolymer compositions. The optimization strategy is validated through simulation, by assuming that reactions are subject to perturbations of the reaction temperature, initiator, and VAc concentrations. It is shown that the proposed optimization strategy can be used successfully both for design of monomer feed rate profiles and removal of process disturbances during semibatch suspension copolymerizations, to keep the copolymer composition constant throughout the batch. POLYM. ENG. SCI., 2009. © 2009 Society of Plastics Engineers |
Audience | Academic |
Author | Machado, Fabricio Pinto, José Carlos Lima, Enrique Luis |
Author_xml | – sequence: 1 givenname: Fabricio surname: Machado fullname: Machado, Fabricio email: fmachado@unb.br organization: Instituto de Química, Universidade de Brasília, Campus Universitário Darcy Ribeiro, CP 04478, 70910-900 Brasília, DF, Brazil – sequence: 2 givenname: Enrique Luis surname: Lima fullname: Lima, Enrique Luis organization: Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP 68502, Rio de Janeiro 21945-970, RJ, Brazil – sequence: 3 givenname: José Carlos surname: Pinto fullname: Pinto, José Carlos organization: Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP 68502, Rio de Janeiro 21945-970, RJ, Brazil |
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Keywords | Structure processing relationship Kinetic model Acrylic acid copolymer Vinyl acetate copolymer Vinyl ester copolymer Chemical composition Radical copolymerization Experimental study Modeling Optimization Predictive control Suspension copolymerization |
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Snippet | This work performs the dynamic optimization of semibatch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization... This work performs the dynamic optimization of semi-batch vinyl acetate (VAc)/acrylic acid (AA) suspension copolymerizations. The proposed dynamic optimization... |
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SubjectTerms | Acrylic acid Analysis Applied sciences Chemical properties Composition Controllers Copolymers Exact sciences and technology Industrial polymers. Preparations Mathematical optimization Optimization Polymer industry, paints, wood Production processes Simulation Suspensions (Chemistry) Technology of polymers Temperature effects Thermoplastics Vinyl acetate |
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Title | Dynamic optimization of semibatch vinyl acetate/acrylic acid suspension copolymerizations |
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