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Selecting the Optimum Process Condition Between the Factor Level Using Neural Network  

홍정의 (충주대학교 산업공학과)
Publication Information
Journal of Korean Society for Quality Management / v.30, no.2, 2002 , pp. 86-98 More about this Journal
Abstract
Defining the relationship between the quality of injection molded parts and the process condition is very complicate because of lots of factor are involved and each factor has a non-linearity. With the development of CAE(Computer Aided Engineering) technology, the estimation of volumetric shrinkage of injection mold parts is possible by computer simulation even though restricted application. In this research, Neural Network applied for finding optimal processing condition. The percent of volumetric shrinkage compared on each case and show neural network can be successfully applied selecting optimum condition not only within factor level but also between factor level.
Keywords
Experimental Design; Taguchi Method; Neural Network;
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