Enhancing product robustness in reliability-based design optimization
Xiaotian Zhuang,
Rong Pan and
Xiaoping Du
Reliability Engineering and System Safety, 2015, vol. 138, issue C, 145-153
Abstract:
Different types of uncertainties need to be addressed in a product design optimization process. In this paper, the uncertainties in both product design variables and environmental noise variables are considered. The reliability-based design optimization (RBDO) is integrated with robust product design (RPD) to concurrently reduce the production cost and the long-term operation cost, including quality loss, in the process of product design. This problem leads to a multi-objective optimization with probabilistic constraints. In addition, the model uncertainties associated with a surrogate model that is derived from numerical computation methods, such as finite element analysis, is addressed. A hierarchical experimental design approach, augmented by a sequential sampling strategy, is proposed to construct the response surface of product performance function for finding optimal design solutions. The proposed method is demonstrated through an engineering example.
Keywords: Kriging metamodel; Robust design optimization; Sequential optimization and reliability assessment; Sequential sampling (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:138:y:2015:i:c:p:145-153
DOI: 10.1016/j.ress.2015.01.026
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