Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/320567
Type: Artigo de Periódico
Title: Optimization Of A Large Scale Industrial Reactor Towards Tailor Made Polymers Using Genetic Algorithm
Author: Pontes
KV; Embircu
M; Maciel
R
Abstract: This paper presents a computational procedure for producing tailor made polymer resins, satisfying customers' needs while operating with maximum profit. The case study is an industrial large-scale polymerization reactor. The molecular properties considered are melt index (MI), which measures the molecular weight distribution, and stress exponent (SE), which is related to polydispersity. An economic objective function is associated to a deterministic mathematical model and the resulting optimization problem is solved by genetic algorithm (GA), a stochastic method. The GA parameters for both binary and real codifications are tuned by means of the design of experiments. Attempting to achieve the global optimum, a hybrid method, which introduces process knowledge into GA random initial population, is proposed. The binary codification performs better than the real GA, especially with hybridization. Results show that the GA can satisfactorily predict tailor made polymer resins with profits up to 25% higher than the industrial practice.
Subject: Polymerization
Optimization
Genetic Algorithm
Design Of Experiments
Product Design
Editor: WALTER DE GRUYTER GMBH
Citation: International Journal Of Chemical Reactor Engineering. WALTER DE GRUYTER GMBH, n. 14, n. 1, p. 259 - 267.
Rights: aberto
Identifier DOI: 10.1515/ijcre-2015-0041
Address: https://www.degruyter.com/view/j/ijcre.2016.14.issue-1/ijcre-2015-0041/ijcre-2015-0041.xml
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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