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A fuzzy multiobjective approach for minimization of injection molding defects
Author(s) -
Tan K. H.,
Yuen M. M. F.
Publication year - 2000
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.11223
Subject(s) - mathematical optimization , fuzzy logic , minification , molding (decorative) , set (abstract data type) , fuzzy set , quadratic equation , quadratic programming , process (computing) , membership function , computer science , mathematics , materials science , artificial intelligence , composite material , geometry , programming language , operating system
This paper describes a fuzzy multiobjective optimization approach for determining the set‐points of the injection molding processing parameters to minimize the defects formed on the molded parts. The severities of the defects are represented by membership functions using the fuzzy set theory. The minimization of these membership functions, which is a multiobjective optimization problem, is transformed into a substitute problem. The preference function in the substitute problem is original and is proposed specifically for characterizing the quality requirements of the injection molding defects. The formulated optimization problem is solved with design of experiments, in which the process behavior is approximated empirically by a set of quadratic polynomials that can be easily optimized. Experimental results are presented to emphasis the workability of the proposed methodology.