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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。
Topological optimization is an important method of lightweight design of machine tool for cold heading machine. Aiming at the problems such as optimization index conflict and insufficient early optimization of local convergence in the process of topological optimization of cold heading machine, an iterative optimization method is proposed. And the alternation of strain energy as the objective function and constraint, and according to the strategy of progressive updating, the machine body weight and the overall rigidity of the cold heading machine are gradually approached to an optimal value. Describes the basic idea of iterative optimization in the lightweight design of the cold forging machine, establishes an iterative optimization model which takes the machine tool body strain energy and volume as the optimization index and details the entire iterative optimization process, and determines the termination of the iterative optimization condition. Finally, taking a certain type of cold heading machine tool as an example, the finite element software Abaqus 6.12 is used to realize the iterative optimization in the bed lightweight design. The results show that the proposed iterative optimization method can increase the weight reduction of the machine body of cold heading machine, improve its overall rigidity and improve the related performance.