Radial Fatigue Life Prediction of Aluminum Alloy Wheels Based on Response Surface Optimization

Liu Na; Liu Peng; Gao Yuanyuan; Wang Chengnuo

doi:10.15980/j.tzzz.2022.11.006

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Radial Fatigue Life Prediction of Aluminum Alloy Wheels Based on Response Surface Optimization
Vol. 42, Issue 11, Pages: 1345-1350(2022)
Published： 2022 ，
DOI： 10.15980/j.tzzz.2022.11.006

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Liu Na, Liu Peng, Gao Yuanyuan, et al. Radial Fatigue Life Prediction of Aluminum Alloy Wheels Based on Response Surface Optimization. [J]. Special Casting & Nonferrous Alloys 42(11):1345-1350(2022)
DOI：

Liu Na, Liu Peng, Gao Yuanyuan, et al. Radial Fatigue Life Prediction of Aluminum Alloy Wheels Based on Response Surface Optimization. [J]. Special Casting & Nonferrous Alloys 42(11):1345-1350(2022) DOI： 10.15980/j.tzzz.2022.11.006.

摘要

利用模态试验验证了铝合金轮毂模型准确性，对铝合金轮毂进行径向疲劳分析。发现应力集中区域和寿命较短区域分布在减重孔两端。以此为基础利用响应曲面优化法对轮毂进行结构优化，优化模型的有限元仿真结果与响应曲面预测结果的误差在可接受范围内，验证了响应曲面优化结果的准确性。优化结果表明，轮毂最大应力减小了约29.5 MPa

其径向疲劳寿命增加了300%左右。

Abstract

Modal tests were carried out to verify the accuracy of the aluminum alloy wheel model and then radial fatigue analysis was performed on the aluminum alloy wheel. The results indicate that the stress concentration area and the low life area are distributed at both ends of the weight reduction hole. On this basis

the response surface optimization method was utilized to optimize the hub structure. The error between the finite element simulation results of the optimized model and the predicted results of the response surface is within the acceptable range

which verifies the feasibility of the response surface optimization results. The optimization results reveal that the maximum stress of the hub is reduced by about 29.5 MPa

and the radial fatigue life is increased by about 3 times.