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A Study on Neural Network Modeling of Injection Molding Process Using Taguchi Method

다구찌방법을 이용한 사출성형공정의 신경회로망 모델링에 관한 연구

  • 최기흥 (고등기술연구원 생산기술연구실) ;
  • 유병길 (고등기술연구원 생산기술연구실) ;
  • 홍태민 (고등기술연구원 생산기술연구실) ;
  • 이경돈 (고등기술연구원 생산기술연구실) ;
  • 장낙영 (고등기술연구원 생산기술연구실)
  • Published : 1996.03.01

Abstract

Computer Integrated Manufacturing(CIM) requires models of manufacturing processes to be implemented on the computer. These models are typically used for determining optimal process control parameters or designing adaptive control systems. In spite of the progress made in the mechanistic modeling, however, empirical models derived from experimental data play a maior role in manufacturing process modeling. This paper describes the development of a meural metwork medel for injection molding. This paper describes the development of a nueral network model for injection molding process. The model uses the CAE analysis data based on Taguchi method. The developed model is, then, compared with the traditional polynomial regression model to assess the applicabilit in practice.

Keywords

Injection Molding;CAE;Neural Network;Regression Model;Taguchi Method;Factorial Design