基于改进蚁群算法的薄壁件柔性工装布局优化（英文）  

Flexible Tooling Layout Optimization for Thin-Walled Workpieces Based on Improved Ant Colony Algorithm

作　　者：周涛[1] 熊珍琦[2] 姚为[2] 秦英[2] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072 [2]北京航星机器制造有限公司,北京100013

出　　处：《推进技术》2016年第6期1165-1174,共10页Journal of Propulsion Technology

基　　金：国防基础科研基金(A0420132503)

摘　　要：为解决薄壁件刚性差,在制造过程中易因工装夹紧力产生弹性变形等问题,提出了一种基于改进蚁群算法的薄壁件柔性工装布局优化方法,对薄壁件的柔性工装进行了布局优化。该方法通过有限元分析与蚁群/遗传混合算法相结合的方法进行了工装定位/支承阵列的布局优化。实例验证表明,采用改进遗传蚁群算法对工装布局进行优化,可使柔性工装系统中定位/支承阵列布局的拓扑形态和分布密度处于最优状态,使薄壁件最大变形量缩小47%。In order to reduce the elastic deformation of thin-walled workpieces with poor rigidity, when it is under the clamping force of tooling during the manufacturing process, a method of flexible tooling layout optimization for the thin-walled workpieces based on the improved ant colony algorithm is presented. Tooling layout optimization of positioning/supporting array is realized by combining finite element analysis with ant colony-genetic hybrid algorithm. The verification of examples shows that the optimal state of the topological configuration and distribution density of positioning/supporting array in the flexible tooling system can be achieved through optimization by the improved genetic-ant colony algorithm, thus obtaining the optimal flexible tooling layout for the thin-walled workpieees. The maximum deformation of the thin-walled workpieces can be reduced by 47%.

关 键 词：薄壁件 工装布局优化 有限元分析 蚁群遗传算法 

分 类 号：TH165[机械工程—机械制造及自动化]