冷镦机床身轻量化设计中的迭代优化方法  被引量:1

Method of iterative optimization in the lightweight design of cold heading machine bed

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作  者:何彬[1] 李响[2] 

机构地区:[1]湖北理工学院机电工程学院,湖北黄石435003 [2]三峡大学机械与材料学院,湖北宜昌443002

出  处:《锻压技术》2016年第3期68-72,共5页Forging & Stamping Technology

基  金:国家自然科学基金资助项目(51305232);湖北省自然科学基金资助项目(2012FFC016)

摘  要:拓扑优化是冷镦机床身轻量化设计的重要方法,针对冷镦机床身拓扑优化过程中存在优化指标冲突和局部收敛早优化空间不足等问题,提出一种迭代优化方法,通过冷镦机床身体积和应变能交替作为目标函数和约束展开优化,并根据优化结果递进更新的策略,逐步使冷镦机床身重量和整体刚性逼近一个最优值。描述了冷镦机床身轻量化设计中迭代优化的基本思路,建立了以冷镦机床身应变能和体积为优化指标的迭代优化模型,并详细规划了整个迭代优化流程,确定了迭代优化的终止条件。最后,以某型号冷镦机床身为例,采用有限元软件Abaqus 6.12实现了床身轻量化设计中的迭代优化过程。研究结果表明,所提出的迭代优化方法对于加大冷镦机床身的减重力度、提高其整体刚性和改善相关性能具有一定作用。Topology optimization is an important method in the lightweight design of cold heading machine bed. For the issues of different optimized indexes and insufficient optimization spaces due to premature convergence in topology optimization of cold heading machine bed,a method of iterative optimization was put forward by alternately changing the volume and strain energy of cold heading machine bed into objective function and constraint. Furthermore,the bed's weight and overall rigidness were approximate to an optimal value by updating methods according to the optimization results. Therefore,the thought of iterative optimization was described,the iterative optimization model with the optimized indexes of the bed's volume and strain energy were constructed,the flow of iterative optimization was planned in detail,and the termination condition of optimization was established. Finally,for a type of cold heading machine bed,the process of its iterative optimization was realized by Abaqus 6. 12. The result shows that the above method has play an important role in reducing the bed's weight,enhancing the overall rigidness and improving some mechanical properties.

关 键 词:冷镦机 床身 轻量化 拓扑优化 迭代优化 

分 类 号:TG315[金属学及工艺—金属压力加工] TH122[机械工程—机械设计及理论]

 

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