Journal of the Korean Society of Manufacturing Process Engineers (한국기계가공학회지)
- Volume 7 Issue 3
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- Pages.3-11
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- 2008
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- 1598-6721(pISSN)
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- 2288-0771(eISSN)
A Robust Design Using Approximation Model and Probability of Success
근사모델 및 성공확률을 이용한 강건설계
- Published : 2008.09.30
Abstract
Robust design pioneered by Dr. G. Taguchi has been applied to versatile engineering problems for improving quality. Since 1980s, the Taguchi method has been introduced to numerical optimization, complementing the deficiencies of deterministic optimization, which is often called the robust optimization. In this study, the robust optimization strategy is proposed by considering the robustness of objective and constraint functions. The statistics of responses in the functions are surrogated by kriging models. In addition, objective and/or constraint function is represented by the probability of success, thus facilitating robust optimization. The mathematical problem and the two-bar design problem are investigated to show the validity of the proposed method.
Keywords