Multiobjective Optimization of a Semibatch Epoxy Polymerization Process Using the Elitist Genetic Algorithm

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• 作者：Kishalay Mitra ; Saptarshi Majumdar ; and Sasanka Raha
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2004
• 出版时间：September 15, 2004
• 年：2004
• 卷：43
• 期：19
• 页码：6055 - 6063
• 全文大小：152K
• 年卷期：v.43,no.19(September 15, 2004)
• ISSN：1520-5045

文摘

Multiobjective Pareto optimal solutions for a semibatch isothermal epoxy polymerization processare obtained by adapting the binary-coded nondominated sorting genetic algorithm II (NSGAII). The number-average molecular weight and polydispersity index are taken as two objectives,where the first one is maximized and the second one is minimized. The decision variables areaddition profiles of various reagents, e.g., the amount of addition for monomer, sodium hydroxide,and epichlorohydrin at different times, whereas the solution of all species balance equations istreated as a constraint. Because the number-average molecular weight and polydispersity indexare sometimes not sufficient to describe the desired species growth, additional objectives suchas the maximization of preferential formation of lower oligomers with the minimization of NaOHaddition are also studied. For all practical purposes, semibatch-mode operations are preferredeven if for the fulfillment of certain objectives batch-mode operations are theoretically competitive.A well-validated model taking care of all physicochemical aspects of a reaction mechanism is aprerequisite for this kind of study. Process simulation and optimization with close proximity tothe available experimental conditions is definitely a distinguishable feature of this work thatcan direct the results toward actual plant realizations.