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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn1542-6580pt
dc.typeArtigo de Periódicopt_BR
dc.titleOptimization Of A Large Scale Industrial Reactor Towards Tailor Made Polymers Using Genetic Algorithmpt_BR
dc.contributor.authorPontespt_BR
dc.contributor.authorKV; Embircupt_BR
dc.contributor.authorM; Macielpt_BR
dc.contributor.authorRpt_BR
unicamp.author.emailkarenpontes@ufba.br; embirucu@ufba.br; maciel@feq.unicamp.brpt_BR
dc.subjectPolymerizationpt_BR
dc.subjectOptimizationpt_BR
dc.subjectGenetic Algorithmpt_BR
dc.subjectDesign Of Experimentspt_BR
dc.subjectProduct Designpt_BR
dc.description.abstractThis 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.en
dc.relation.ispartofInternational Journal of Chemical Reactor Engineeringpt_BR
dc.publisher.cityBERLINpt_BR
dc.publisherWALTER DE GRUYTER GMBHpt_BR
dc.date.issued2016pt_BR
dc.identifier.citationInternational Journal Of Chemical Reactor Engineering. WALTER DE GRUYTER GMBH, n. 14, n. 1, p. 259 - 267.pt_BR
dc.language.isoEnglishpt_BR
dc.description.volume14pt_BR
dc.description.firstpage259pt_BR
dc.description.lastpage267pt_BR
dc.rightsabertopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn2194-5748pt_BR
dc.identifier.wosidWOS:000371228200022pt_BR
dc.identifier.doi10.1515/ijcre-2015-0041pt_BR
dc.identifier.urlhttps://www.degruyter.com/view/j/ijcre.2016.14.issue-1/ijcre-2015-0041/ijcre-2015-0041.xmlpt_BR
dc.description.sponsorshipCAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior)pt_BR
dc.description.sponsorshipCNPq (Conselho Nacional de Pesquisa)pt_BR
dc.description.sponsorshipFAPESB (Fundacao de Amaro a Pesquisa do Estado da Bahia)pt_BR
dc.description.sponsorship1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)pt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.date.available2016-12-06T18:32:32Z-
dc.date.accessioned2016-12-06T18:32:32Z-
dc.description.provenanceMade available in DSpace on 2016-12-06T18:32:32Z (GMT). No. of bitstreams: 1 000371228200022.pdf: 3594588 bytes, checksum: 8e9559811a3b19dd9ec3dd9c36d19b34 (MD5) Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/320567-
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