Publisher : The Korean Society of Mechanical Engineers
DOI : 10.22634/KSME-A.19220.127.116.115
Title & Authors
A Study on Neural Network Modeling of Injection Molding Process Using Taguchi Method Choe, Gi-Heung; Yu, Byeong-Gil; Hong, Tae-Min; Lee, Gyeong-Don; Jang, Nak-Yeong;
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.