Response surface methodology-based hybrid robust design optimization for complex product under mixed uncertainties

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Abstract

Minimizing the impact of the mixed uncertainties (i.e., the aleatory uncertainty and the epistemic uncertainty) for a complex product of compliant mechanism (CPCM) quality improvement signifies a fascinating research topic to enhance the robustness. However, most of the existing works in the CPCM robust design optimization neglect the mixed uncertainties, which might result in an unstable design or even an infeasible design. To solve this issue, a response surface methodology-based hybrid robust design optimization (RSM-based HRDO) approach is proposed to improve the robustness of the quality characteristic for the CPCM via considering the mixed uncertainties in the robust design optimization. A bridge-type amplification mechanism is used to manifest the effectiveness of the proposed approach. The comparison results prove that the proposed approach can not only keep its superiority in the robustness, but also provide a robust scheme for optimizing the design parameters.

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Wan, L., Chen, H., & Ouyang, L. (2019). Response surface methodology-based hybrid robust design optimization for complex product under mixed uncertainties. Journal of Systems Engineering and Electronics, 30(2), 308–318. https://doi.org/10.21629/JSEE.2019.02.10

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