基于铣削力与稳定性预测的铣削工艺参数优化

Optimization of Process Parameters for Milling Operations Based on Predicted Milling Force and Stability

为了科学地选取加工过程中的铣削工艺参数,提高产品加工效率,建立了铣削力预测模型以及稳定性预测模型,并将其引入到铣削工艺参数优化中,从而构建了以铣削速度、进给量和轴向切深为变量,以最大生产率为优化目标,以铣削力、稳定性、粗糙度以及机床有效功率为约束的工艺优化模型。通过铣削试验和捶击试验分别获取了铣削力系数和主轴-刀具系统的模态参数。采用惩罚函数法将有约束问题转化为无约束问题,应用粒子群算法对模型进行寻优求解,并进行试验验证,结果证实了该方法的有效性和实用性。

To choose milling parameters scientifically and improve productivity,milling force model and stability forecast model are provided and introduced to the optimization of process parameters.Then a optimization model of process parameters is proposed.And the model aims at maximum efficiency.The design variables include milling speed,feed peer tooth and the axial cutting depth,and the constrained conditions w ere constructed w ith milling force,machine effective pow er,and system stability and so on.Also,the milling tests and stamping tests are excuted to calibrate the cutting force coefficients and modal parameter of spindle-cutter system.Based on the model,the optimal milling parameters are generated w ith particle sw arm optimization（PSO）,and the method is valited according to milling tests.