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Multicriteria dynamic optimization of an emulsion copolymerization reactor [conference paper]
journal contribution
posted on 2015-05-22, 10:54 authored by Brahim BenyahiaBrahim Benyahia, M. Abderrazak Latifi, Christian Fonteix, Fernand PlaA multicriteria optimization procedure based on an evolutionary algorithm has been developed to determine the optimal control policies for a fed-batch emulsion copolymerization reactor, particularly for styrene and butyl acrylate in the presence of n-C12 mercaptan as chain transfer agent (CTA). 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 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 aid strategy based on a decision maker preferences and experience using multiple attribute utility theory (MAUT). Finally, the best solution was implemented experimentally.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Computer Aided Chemical EngineeringVolume
28Issue
CPages
457 - 462Citation
BENYAHIA, B., LATIFI, M.A., FONTEIX, C. et al., 2010. Multicriteria dynamic optimization of an emulsion copolymerization reactor. IN: Pierucci, S. and Buzzi Ferraris, G. (eds). 20th European Symposium on Computer Aided Process Engineering (ESCAPE), Ischia, Italy. Computer Aided Chemical Engineering; 28, pp.457-462.Publisher
© ElsevierVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2010Notes
This article is in closed access.ISSN
1570-7946Publisher version
Book series
Computer Aided Chemical Engineering;28Language
- en