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, the Taguchi method and 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.

Abstract 
1. Taguchi Method에 의한 실험 
2. Neural Network을 이용한 최적 조건의 예측 
3. 결론 
참고문헌

• 홍정의 | Hong Jungeui