基于仿真的数控铣削加工参数优化研究

Optimization of NC Machining Parameters Based on Machining Simulation

针对数控铣削加工参数优化问题,通过加工仿真,计算每一走刀步的切削深度和切削宽度并划分区间。在每一个由组合划分区间内所有刀步构成的一个加工特征组合段上建立了多目标优化模型,模型采用遗传算法对每一加工特征组合段的加工参数进行优化,自动修改NC程序中的加工参数并反映优化结果。应用实例证明,提出的多目标优化模型和优化求解算法正确、有效。

The presented optimization method partitions cutting depth and cutting width was obtained from NC simulation into sections for the NC machining parameter optimization. All cutting steps within one section formed a machining feature combination step. The multi-objective optimization models were set up within each machining feature combination step to optimize the machining parameters, based on genetic algorithm. The machining parameters in NC programs were auto-modified to reflect the optimization effect. The experimental result of NC machining shows that the proposed optimization models and algorithm are satisfactory.