지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국소성·가공학회 기타자료 The 8th International Conference and Workshop on numerical simulation of 3D seet metal forming processes (NUMISHEET 2011)
- 발행연도
- 2011.8
- 수록면
- 549 - 556 (8page)
이용수
초록· 키워드
오류제보하기
This paper presents a new methodology called a shop floor approach to springback prediction. It begins with the development of a springback model based on die and stamped part historical data by Multiple Regression (MR) technique. This model is then used to validate a numerical springback model using Finite Element Analysis (FEA). Three different pressed parts were selected from industry for this study. They represent three different levels of springback severity namely high, medium and small. Significant factors affecting springback such as die radius, die angle, die depth, punch radius and die width were used as independent or predictor variables meanwhile shape deviation refer springback response between stamped part and die surface were used as dependent or criterion variable. Initial results show that the multiple regression models for the three parts are linear with a prediction error of less than 9%. However a combined part1 and part3 regression model improves the prediction accuracy by 7% compared to values predicted by individual regression model. An on-going work is being conducted to validate the model by using commercial FEA software.
목차
Abstract
INTRODUCTION
METHODOLOGY
RESULTS & DISCUSSION
CONCLUSION
REFERENCES
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