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

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Journal of Korean Society for Quality Management > Volume 30(2); 2002 > Article

Journal of Korean Society for Quality Management 2002;30(2): 86-.

신경망이론을 이용한 어인자의 수준사이를 고려한 최적조건 선정에 관한 연구

홍정의

충주대학교 산업공학과

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

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.

Key Words: Experimental Design;Taguchi Method;Neural Network;