Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods
Abstract
The qualities of injection-molded parts are affected by process parameters. Warpage and volume shrinkage are two typical defects. Moreover, insufficient or excessively large clamping force also affects the quality of parts and the cost of the process. An experiment based on the orthogonal design was conducted to minimize the above defects. Moldflow software was used to simulate the injection process of each experiment. The entropy weight was...
Paper Details
Title
Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods
Published Date
Apr 1, 2020
Volume
40
Issue
4
Pages
360 - 371
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