Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/13064

Title: Modeling and optimization of fed-batch emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent.
Authors: Benyahia, Brahim
Latifi, M. Abderrazak
Fonteix, Christian
Pla, Fernand
Keywords: Modelling
Core-shell particles
Multiobjective optimization
Decision aid
Issue Date: 2009
Citation: BENYAHIA, B. ... et al, 2009. Modeling and optimization of fed-batch emulsion copolymerization of styrene and butyl acrylate in the presence of a chain transfer agent. Presented at the 8th World Congress of Chemical Engineering (WCCE 8), 23rd-27th August 2009, Montreal, Canada, paper 2245
Abstract: This paper deals with modelling and optimization of a semi-batch emulsion copolymerization reactor of styrene and butyl acrylate in the presence of n-C12 mercaptan as chain transfer agent (CTA). The model is developed using reaction rate laws available in the literature. The population balance equations are based on a new approach which reduces significantly the number of equations involved and consequently the computation time. The model allows predicting of (i) the global monomer conversion, (ii) the microstructure, the number and weight average molecular weights, and the glass transition temperature of the resulting macromolecules, and (iii) the average particle diameters. A subset of the most influential parameters of the model is identified using a parameter estimability approach. The resulting model is then validated and used to determine the optimal feed policy which enables to produce core-shell latex particles with a designed glass temperature profile at high conversion. The set of optimal solutions is determined by means of a mutiobjective optimization approach. Finally, the unique solution to be implemented is obtained by using a decision making strategy.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/13064
Publisher Link: http://www.wcce8.org/index.html
Appears in Collections:Conference Papers and Presentations (Chemical Engineering)

Files associated with this item:

File Description SizeFormat
Benyahia_et_al_WCCE8.pdf139.7 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.