摘要
翻转犁悬挂支架存在设计冗余的问题,为了对其结构进行优化,采用了拓扑优化和遗传算法优化相结合的方法。首先,在ANSYS软件中分析了网格划分方式对于仿真结果的影响,基于得出的可同时保障仿真准确度及解算速度的网格划分方式,利用拓扑优化模块对支架结构的形式进行了优化;其次,基于新的结构形式,设置4个尺寸变量,通过单变量仿真试验及多变量正交仿真试验,分析拟合出了关于支架最大等效应力及质量的多变量数值关系式;最后,以两个多变量数值关系式为优化目标,在MatLab中利用遗传算法对新结构形式下支架的尺寸参数进行了优化和确定。优化结果显示:优化后的支架具有更小的质量和更高的强度,实现了轻量化设计,可为类似结构的优化提供参考。
In order to optimize its structure,topological optimization and genetic algorithm optimization are adopted.Firstly,the influence of mesh generation mode on simulation results was analyzed in ANSYS software.Based on the mesh generation mode which can guarantee simulation accuracy and solution speed at the same time,topology optimization module was used to optimize the form of bracket structure.Secondly,four dimension variables are set based on the new structural form.Through univariate simulation test and multivariate orthogonal simulation test,multivariate numerical relations about the maximum equivalent stress and mass of the support are obtained through analysis and fitting.Finally,taking two multivariable numerical relations as optimization objectives,the size parameters of the scaffold in the new structure form were optimized and determined by genetic algorithm in MATLAB.The optimized results show that the optimized scaffolds have smaller mass and higher strength,realizing the lightweight design.This optimization method can provide a reference for the optimization of similar structures.
作者
薛亚军
贺福强
李赟
解思状
Xue Yajun;He Fuqiang;Li Yun;Xie Sizhuang(College of Mechanical Engineering,Guizhou University,Guiyang 550025,China)
出处
《农机化研究》
北大核心
2021年第7期33-40,共8页
Journal of Agricultural Mechanization Research
基金
贵州省科技计划项目(〔2017〕2595)
贵州省普通高等学校工程研究中心建设项目(〔2017〕015)。
关键词
翻转犁
悬挂支架
拓扑优化
变量拟合
遗传算法优化
flip plow
suspension bracket
topology optimization
variable fitting
genetic algorithm optimization
