基于遗传算法轮毂盖卡扣优化设计

Optimization Design of Clasp for Hub Cover Based on Genetic Algorithm

以某型号轮毂盖为例,分析了带有卡扣特征的轮毂盖结构中的关键技术,利用ANSYS软件完成了卡扣部分的有限元分析,得到卡扣结构参数、作用力、位移和应力等相关的数据,利用Design-Expert软件进行了二元多项式的回归分析,然后利用遗传算法进行优化分析,从而完成了卡扣部分的多目标优化设计。结果表明:遗传算法能快速有效地获得卡扣结构优化设计问题的最优解,优化后的轮毂盖结构结构紧凑、工作稳定,同时也为产品结构的多目标优化提供了参考。

Taking a certain type of hub cover as an example,this paper analyzes the key technology in the hub cover structure with buckle features,completes the finite element analysis of the buckle part with ANSYS software,obtains the relevant data of buckle structure parameters,forces,displacements and stresses,carries out the regression analysis of binary polynomials with design expert software,and then optimizes the analysis with genetic algorithm and completed the multi-objective optimization design of the buckle part.The results show that the genetic algorithm can quickly and effectively get the optimal solution to the optimal design problem of the buckle structure.The optimized structure of the hub cover is compact and stable,which provides a reference for the multi-objective optimization of the product structure.