posted on 2015-05-22, 14:03authored byRadoslav Paulen, Brahim Benyahia, M. Abderrazak Latifi, Miroslav Fikar
In this paper dynamic optimization of a lab-scale semi-batch emulsion copolymerization
reactor for styrene and butyl acrylate in the presence of a chain transfer agent (CTA) is studied. The mathematical model of the process, previously developed and experimentally validated, is used to predict the glass transition temperature of produced polymer, the number and weight average
molecular weights, the monomers global conversion, the particle size distribution,
and the amount of residual monomers. The model is implemented within gPROMS environment for modeling and optimization. It is desired to compute feed rate profiles of pre-emulsioned monomers, inhibitor and CTA
that will allow the production of polymer particles with prescribed core-shell
morphology with high productivity. The results obtained for different operating conditions and various additional product specifications are presented. The resulting feeding profiles are analyzed from the perspective of the nature of emulsion polymerization process and some interesting conclusions are drawn.
Funding
The authors gratefully acknowledge the contribution of the Scientific Grant Agency of the Slovak Republic under the grant 1/0053/13 and the Slovak Research and Development Agency under the projects APVV-0551-11 and SK-FR-0004-11.RP gratefully acknowledges the contribution of the European Commission under research project MOBOCON (Grant agreement number 291458).
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Published in
COMPUTERS & CHEMICAL ENGINEERING
Volume
66
Pages
233 - 243 (11)
Citation
PAULEN, R. ... et al, 2014. Analysis of optimal operation of a fed-batch emulsion copolymerization reactor used for production of particles with core-shell morphology. Computers & Chemical Engineering, 66, pp.233-243.
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
2014
Notes
This paper was accepted for publication in the journal Computers and Chemical Engineering: http://www.sciencedirect.com/science/article/pii/S0098135414000532