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
- 발행연도
- 2011.11
- 수록면
- 1,291 - 1,294 (4page)
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초록· 키워드
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In a design process, a robust optimization is only a way to minimize effects of variances in design variables on the design objectives. It should be carried out before beginning with manufacturing process by taking into account of the variances. Therefore, to predict the variances and to solve the formulation of constraints are the most important procedures for the robust optimization. Though several methods such as the process capability index and the six sigma technique were proposed for the prediction and solution of the variances and constraints, respectively, there are few attempts using a percent defective which has been widely applied in the quality control of the manufacturing process. In this study, the robust optimization for a case study of the control arm in automobile vehicle was carried out, in which the design space showing the mean and variance sensitivity of weight and stress was explored. Simplex algorithm was used to find the robustness of the optimal solution by the minimization of the percent defective and the formulation of constrained optimization converting to unconstrained one.
목차
Abstract
1. 서론
2. 불량률 확률제한조건
3. 로워암의 강건최적화
4. 결론
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UCI(KEPA) : I410-ECN-0101-2014-550-000801145