基于熵权灰色关联分析和改进NSGA-II的车轮疲劳寿命优化与轻量化设计

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Shuai Zhang, Dongzhen Lu, Ruixu Li, Liyou Xu, Han Jiang, Yanling Cao, Wenchao Xu
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引用次数: 0

摘要

为了研究车轮的疲劳性能,提高其轻量化设计水平,本文提出了镁铝合金组合车轮的结构、设计和优化方法。以16×61/2J型车轮为研究对象,通过建立车轮弯曲和径向疲劳试验条件下的拓扑优化模型,求解轮辐的优化拓扑。建立了组合车轮弯曲和径向疲劳试验的有限元模型,模拟分析了组合车轮在两种工况下的疲劳性能及其影响因素。结合贡献分析法、改进的NSGA-II和熵权灰色关联分析(EGRA),对装配车轮进行了多目标优化。结果表明,优化设计后的组装车轮重量减轻了4.49%,弯曲疲劳寿命和径向疲劳安全系数分别降低了9.95%和25%。为了更好地平衡装配式车轮的性能,实现轻量化设计,本文将装配式车轮关节拓扑优化与多工况多目标优化方法相结合,通过EGRA筛选出最优折衷解,为车轮轻量化设计和多目标优化提供了一种途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fatigue life optimization and lightweight design of wheel based on entropy weight grey relation analysis and modified NSGA-II
In order to study the fatigue performance of wheel and enhance its lightweight design level, this article proposes the structure, design and optimization method of magnesium-aluminum alloy assembled wheel. Taking a 16 × 61 / 2 J type wheel as the research object, the optimal topology of wheel spoke is solved by constructing a topology optimization model for wheel bending and radial fatigue test conditions. A finite element model for bending and radial fatigue testing of assembled wheels was established, which simulates and analyzes the fatigue performance and its influencing factors of the wheel under two working conditions. Combined with contribution analysis method, the modified NSGA-II and entropy weight grey relation analysis (EGRA), the multi-objective optimization of assembled wheel was performed. The result demonstrated that the weight reduction of the assembled wheel after optimized design is 4.49%, while the bending fatigue life and radial fatigue safety factor are decreased by 9.95% and 25%, respectively. In order to better balance the performance of assembled wheel and achieve lightweight design, this article combines the joint topology optimization of assembled wheels with multi-objective optimization method for multiple working conditions and screens the optimal compromise solution by EGRA, which provides an approach for wheel lightweight design and multi-objective optimization.
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来源期刊
Advances in Mechanical Engineering
Advances in Mechanical Engineering 工程技术-机械工程
CiteScore
3.60
自引率
4.80%
发文量
353
审稿时长
6-12 weeks
期刊介绍: Advances in Mechanical Engineering (AIME) is a JCR Ranked, peer-reviewed, open access journal which publishes a wide range of original research and review articles. The journal Editorial Board welcomes manuscripts in both fundamental and applied research areas, and encourages submissions which contribute novel and innovative insights to the field of mechanical engineering
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