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基于遗传算法的汽车仪表板横梁参数优化

     

摘要

节能、安全和环保是汽车工业的发展方向,汽车轻量化是实现节能减排的重要手段,以重量为目标的汽车零部件结构优化设计对减轻零件重量、提升整车性能具有重要的工程意义.以上汽通用五菱股份有限公司某车型仪表板横梁总成结构为研究对象,利用有限元分析方法对汽车仪表板横梁进行性能分析,通过正交试验方法找出对汽车仪表板横梁重量和振动性能影响较大的因素,并利用遗传算法进行结构参数优化.结果表明,在不影响各项性能的前提下,通过优化设计方法,该仪表板横梁总成减重9.96%,取得了较好的轻量化效果.%Energy saving, safety and environmental protection are the development directions of the automobile industry, and the automotive lightweight is an important technology to realize energy saving and emission reduction.The structure optimization design of automotive components aimed at weight has an important engineering significance for reducing part weight and improving vehicle performance.Taking a certain type of fascia board beam structure of SAIC GM Wuling Automobile Co., Ltd as the research object in this paper, the performances of fascia board beam were analyzed with the finite element analysis method and the influential factors for mass and vibration performance were investigated with the orthogonal experiments, then the structural parameters were also optimized by genetic algorithm.The results indicate that the weight of the fascia board beam reduces by 9.96% without performances loss with the parameter optimization method in this paper.

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