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초록
The performance of a system can be affected by the variance of noise factors, which arise owing to uncertainties of the material properties and environmental factors acting on the system. For robust design optimization of the system performance, it is necessary to minimize the effect of the variance of the noise factors that are impossible to control. However, present robust design techniques consider the variation of design factors, and not the noise factors, as being important Furthermore, it is necessary to assume a normal distribution; however, a normal distribution is often not suitable to estimate the variations. In this study, a robust design technique is proposed to consider the variation of noise factors that are estimated as non-normal distributions in a real experiment As an example of an engineering problem, a deep-sea manganese nodule miner tracked vehicle is used to demonstrate the feasibility of the proposed method.
키워드
- 제목
- 비정규 분포의 잡음인자를 고려한 곱분해기법 기반의 통계 모멘트를 이용한 효율적인 강건 최적설계
- 제목 (타언어)
- Efficient robust design optimization using statistical moment based on multiplicative decomposition considering non-normal noise factors
- 저자
- Cho, S.-G.; Lee, M.; Lim, W.; Choi, J.-S.; Kim, H.W.; Hong, S.; Lee, Tae Hee
- 발행일
- 2012-11
- 유형
- Article
- 저널명
- 대한기계학회논문집 A
- 권
- 36
- 호
- 11
- 페이지
- 1305 ~ 1310