Please use this identifier to cite or link to this item: https://doi.org/10.1002/(SICI)1097-4628(19990801)73:53.0.CO;2-3
Title: Multiobjective optimization of an industrial nylon-6 semibatch reactor system using genetic algorithm
Authors: Gupta, R.R.
Gupta, S.K. 
Issue Date: 1999
Source: Gupta, R.R.,Gupta, S.K. (1999). Multiobjective optimization of an industrial nylon-6 semibatch reactor system using genetic algorithm. Journal of Applied Polymer Science 73 (5) : 729-739. ScholarBank@NUS Repository. https://doi.org/10.1002/(SICI)1097-4628(19990801)73:53.0.CO;2-3
Abstract: Multiobjective Pareto optimal solutions for three different grades of nylon-6 produced in an industrial semibatch reactor are obtained by using the adapted Non-dominated Sorting Genetic Algorithm (adapted NSGA). The two objective functions minimized are the total reaction time and the concentration of undesirable cyclic dimer in the product, while simultaneously attaining desired values of the monomer conversion and the number average chain length. The control variables used are the fractional valve opening f(t) and the jacket fluid temperature TJ. The study shows a marked improvement over current industrial operation. It is found that the optimal values of the cyclic dimer concentration in the product are worse (higher) when the reactor-control valve system is studied than when the reactor is considered alone. This is because the control valve leads to additional constraints. The technique used is quite general and can be used to study other reactor systems as well.
Source Title: Journal of Applied Polymer Science
URI: http://scholarbank.nus.edu.sg/handle/10635/92156
ISSN: 00218995
DOI: 10.1002/(SICI)1097-4628(19990801)73:53.0.CO;2-3
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