冷镦机床身应变能与体积双目标拓扑优化  

Topology optimization with double objective of strain energy and volume for cold heading machine bed

作　　者：何彬[1] 

机构地区：[1]湖北理工学院机电工程学院,湖北黄石435003

出　　处：《制造技术与机床》2016年第3期76-78,83,共4页Manufacturing Technology & Machine Tool

基　　金：湖北省自然科学基金(2012FFC016)

摘　　要：机床床身多目标拓扑优化主要存在优化目标冲突、收敛慢、计算量大等问题。以冷镦机床身结构整体刚性与减重效果为优化指标,提出一种改进的应变能与体积双目标多约束优化列式,并结合权重调整和单目标函数自约束两种方法,运用Abaqus6.12,对某型号冷镦机床身进行数值仿真和分析,结果表明,权重调整可以弱化优化过程中体积对应变能的影响,应变能自约束能够加快收敛过程,两者对于改善冷镦机床身应变能与体积双目标拓扑优化的求解过程,获得理想的优化结果是可行的。The main problems in multi- objective topology optimization of machine tool bed are the confliction of objective functions,slow convergence and large calculation. Aiming at the optimal indexes of overall rigidness and weight- reducing of cold heading machine bed,multi- constraint optimized model with double objective of strain energy and volume is put forward. Combined with numerical simulation and analysis based on Abaqus6. 12,weight adjustment and self constraint of single objective function are used respectively. The results show that weight adjustment can weaken the effect of volume on strain energy and self constraint of strain energy can accelerate the process of convergence. It is feasible for the two methods to improve the solving process and obtain the optimal results of topology optimization for cold heading machine bed.

关 键 词：冷镦机 床身 双目标 拓扑优化 应变能 体积 

分 类 号：TH122[机械工程—机械设计及理论]