锻压技术

换辊小车横移车架结构的多目标优化设计

英文标题：Multi-objective optimization on the transverse frame of roll change car

作者：任学平谈艳阳田凯

分类号：TG122

出版年,卷(期):页码：2017,42(9):157-162

摘要：

为了保证换辊小车横移车架刚度在符合要求的前提下达到轻量化的要求，提出了基于重量和刚度为目标函数的横移车架多目标优化设计方法。首先，对横移车架进行了静态特性分析，得到换辊时横移车架的应力分布和变形情况；然后，建立由设计变量所决定的车架重量和刚度的多目标优化数学模型，通过中心复合试验设计法选取合适的分析样本点，并在ANSYS Workbench软件中对样本点处的静态特性进行计算和分析；最后，为了降低多目标优化计算量，先通过Shifted Hamersley抽样技术产生一个次优的初始解集，再运用多目标遗传算法对横移车架的质量和最大变形进行多目标优化获得Pareto优化解集。结果表明，优化后横移车架最大变形量减少10%，重量减小3%，并且车架变形及应力分布更加合理。

In order to satisfy the performance requirements of stiffness and light weight of the transverse frame of roll change car, a design method of multi-objective optimization is proposed based on the weight and stiffness as the object function. Firstly, the stress distribution and total deformation of the transverse frame were obtained through static analysis. Then, the multi-objective optimization mathematical model of weight and stiffness determined by design variables was established. Furthermore, the appropriate analysis samples were selected by central composite design (CCD) experiment method, and the static characteristics of the transverse frame at these samples were calculated and analyzed by the software ANSYS Workbench. Finally, subopitimum initial samples were selected by Shifted Hamersley sampling method to reduce the computational scale, and the multi-objective optimization of getting lighter weight and smaller total deformation were conducted to obtain the Pareto optimal solution by the multi-objective genetic algorithm. The simulation results show that the maximum deformation is reduced by 10%, the weight of the traverse frame is decreased by 3%, and the deformation and stress distribution are more reasonable.

基金项目：

国家自然科学基金资助项目（21366017）；内蒙古高等学校科学研究项目（NJZY16154）；内蒙古自治区研究生教育创新计划资助项目（S20161012709）

任学平（1963-），男，博士，教授 E-mail：rxp@imust.cn

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