Abstract
Blow molded parts require a strict control of the part thickness distributions so as to achieve the required mechanical performance and to minimize the usage of material. In this paper, an optimization algorithm combining iterative learning control (ILC) with fuzzy logic was used to get the optimal parison thickness distributions for a part with uniform wall thickness distribution. Instead of using the pure numerical method, engineer knowledge and experience were combined in the optimization algorithm using fuzzy rules. It was shown that the fuzzy ILC algorithm is effective to obtain the optimal parison thickness distributions.
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