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Multiobjective optimization of an industrial semibatch nylon 6 reactor

โœ Scribed by Rajiv Sareen; Santosh K. Gupta


Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
1004 KB
Volume
58
Category
Article
ISSN
0021-8995

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Multiobjective Pareto optimal solutions for three different grades of nylon-6 produced in an industrial semibatch reactor are obtained by using the adapted Nondominated Sorting Genetic Algorithm (adapted NSGA). The two objective functions minimized are the total reaction time and the concentration o

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The nondominated sorting genetic algorithm (NSGA) is adapted and used to obtain multiobjective Pareto optimal solutions for three grades of nylon 6 being produced in an industrial semibatch reactor. The total reaction time and the concentration of an undesirable cyclic dimer in the product are taken

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In this study, optimal vapor release rate (or pressure) histories have been generated for an industrial semi-batch nylon 6 reactor using Pontryagin's minimum principle. The batch time has been taken as the objective function, which is to be minimized. The pressure is constrained to lie between a low