Abstract
Expert systems provide valuable help for making decisions in those fields where the number of parameters involved is reasonably high. That is the case of plastic injection molding processes, where many parameters need to be determined in order to achieve parts with high quality. An intelligent system based on fuzzy logic is proposed and the membership functions are defined from defect behavior tendency curves. The proposed hybrid fuzzy logic system is tuned considering the expertise of an operator by means of a set of adaptive regression membership functions. So, the defined rules make possible for the expert system to correlate qualitative inspection of manufactured parts made by an operator with a quantitative inspection, determining the set of appropriate process parameters that produce high quality parts. Experimental results show that the effectiveness is improved and the process time is also reduced in 40%.
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