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Using multiobjective optimization algorithms and decision making support to solve polymer extrusion problems
Author(s) -
Denysiuk Roman,
Recio Gustavo,
Covas José António,
GasparCunha António
Publication year - 2018
Publication title -
polymer engineering and science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.503
H-Index - 111
eISSN - 1548-2634
pISSN - 0032-3888
DOI - 10.1002/pen.24732
Subject(s) - robustness (evolution) , extrusion , mathematical optimization , multi objective optimization , computer science , evolutionary algorithm , preference , algorithm , materials science , mathematics , biochemistry , chemistry , statistics , metallurgy , gene
Single screw extrusion is a major polymer processing operation. Its optimization is crucial for producing good quality products at suitable costs. This study addresses extrusion as a multiobjective optimization problem that can be solved using evolutionary algorithms incorporating decision making and robustness strategies for selecting solutions. This approach enables focusing the search for solutions in favored regions where the preference was defined either by the relative importance of the objectives or determined considering the robustness of solutions against perturbations in the design variables. The outcome of this strategy provides not only a better insight into the problem at hand, but also facilitates the choice of a single solution for practical implementation. The usefulness of the approach is illustrated by several case studies involving the definition of the most adequate operating conditions, of the best screw geometry and the two together. POLYM. ENG. SCI., 58:493–502, 2018. © 2017 Society of Plastics Engineers