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Multi-objective Optimization of Forming Quality on High-Strength Steel Rocker Arm Parts

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Abstract

The stamping forming quality of high strength steel is poor at ambient temperature, which easily causes defects such as wrinkle, crack and springback. This article aimed at the defects in automotive rocker arm parts and proposed a multi-objective optimization scheme. The parameters of the drawing process are optimized by finite element simulation of parts. The variable blank holder force model was introduced, and the response surface multi-objective optimization functions between process parameters with maximum springback displacement and maximum thinning ratio were constructed by B-Benhnken test. The objective functions were solved by a non-dominated sorting genetic algorithm with elite hierarchy (NSGA-II), and the Pareto optimal solution set of optimization problem was obtained. The optimal solution results were numerically simulated, and qualified parts with good formation were obtained in trial production, which verified the feasibility of the multi-objective optimization scheme.

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Acknowledgements

We acknowledge the support for this research from NSFC (approval No. of fund project: 51805313) and the project supported by Shanghai University of Engineering Science (CL(17)-003). We greatly acknowledge Shanghai Huizhong Automotive Chassis System Co., Ltd, for its help and technical support in the production, enabling this work to be performed.

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Authors and Affiliations

  1. School of Materials Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China

    XingPeng Jia, Hongying Gong, Weizhong Shi & Chaofan Yang

  2. Shanghai Huizhong Automotive Chassis System Co., Ltd., Shanghai, 201814, China

    Kai Yuan

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  1. XingPeng Jia
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  2. Hongying Gong
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  3. Weizhong Shi
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  4. Chaofan Yang
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Correspondence to Hongying Gong.

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Jia, X., Gong, H., Shi, W. et al. Multi-objective Optimization of Forming Quality on High-Strength Steel Rocker Arm Parts. Trans Indian Inst Met 75, 2661–2671 (2022). https://doi.org/10.1007/s12666-022-02634-1

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