Treffer: Multi-objective dynamic optimization of semi-batch polymerization processes

Title:
Multi-objective dynamic optimization of semi-batch polymerization processes
Source:
Polymer reaction engineering V (Québec, 18-23 May 2003)Die Makromolekulare Chemie. Macromolecular symposia. :291-306
Publisher Information:
Weinheim: Wiley-VCH, 2004.
Publication Year:
2004
Physical Description:
print, 30 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Programa de Engenharia Química PEQ/COPPE/UFRJ - Universidade Federal do Rio de Janeiro - Caixa Postal 68.502 - Cep 21.945-970, Rio de Janeiro, Brazil
ISSN:
0258-0322
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Physical chemistry of polymers
Accession Number:
edscal.15882890
Database:
PASCAL Archive

Weitere Informationen

An improved evolutionary algorithm is proposed to perform multi-objective dynamic optimization of a semi-batch styrene polymerization process. The target is to determine the optimal feeding trajectories and the reactor operating temperature, which maximize the monomer conversion rate and minimize the initiator residue concentration in the final product. The optimization problem has been formulated as a multi-objective mixed-integer nonlinear problem (MOMINLP). The proposed approach allows the effective computation of the optimal operating strategies for the production of polymers with the average molecular weight and the polydispersity index required.