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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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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
- 978 - 985 (8page)
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초록· 키워드
오류제보하기
The coupling of Finite Element (FE) simulations to mathematical optimization techniques has contributed significantly to product improvements and cost reductions in the metal forming industries. The next challenge is to bridge the gap between deterministic optimization techniques and the industrial need for robustness. This paper introduces a new and generally applicable structured methodology for modeling and solving robust optimization problems. Stochastic design variables or noise variables are taken into account explicitly in the optimization procedure. The metamodel-based strategy is combined with a sequential improvement algorithm to efficiently increase the accuracy of the objective function prediction. This is only done at regions of interest containing the optimal robust design. Application of the methodology to an industrial V-bending process resulted in valuable process insights and an improved robust process design. Moreover, a significant improvement of the robustness (＞2σ) was obtained by minimizing the deteriorating effects of several noise variables. The robust optimization results demonstrate the general applicability of the robust optimization strategy and underline the importance of including uncertainty and robustness explicitly in the numerical optimization procedure.
목차
Abstract
INTRODUCTION
A ROBUST OPTIMIZATION STRATEGY
MODELING AND SENSITIVITY ANALYSIS
ROBUST OPTIMIZATION AND VALIDATION
SEQUENTIAL ROBUST OPTIMIZATION
APPLICATION TO A V-BENDING PROCESS
CONCLUSIONS AND FUTUREWORK
REFERENCES
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