다구찌 방법과 신경회로망을 이용한 사출성형 가공공정의 최적 가공조건 선정에 관한 연구

• 영문명: Selecting the Optimum Condition of Injection Molding Process by the Taguchi Method and Neural Network
• 발행기관: 한국산업경영시스템학회
• 저자명: 홍정의(Hong Jungeui)
• 간행물 정보: 『한국산업경영시스템학회 학술대회』2002년 추계국제학술대회, 303~308쪽, 전체 6쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2002.10.01

영문 초록

  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.

목차

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