基于Pareto遗传算法的螺旋铣加工参数优化

摘要

Helical milling is an advanced hole-making technique for difficult-to -cut materials in the aviation industry. Rotational speed of the spindle, feed every tooth and depth of cut per revolution in the axial direction are main three cutting parameters in the machining process. The cutting parameters in helical milling of titanium alloy under steady state were optimized by using a Pareto - based multi - objective genetic algorithm (MOGA) with two objectives including material removal rate and tool life. The influence of the cutting parameters on the surface quality of holes was thought over. Finally, experiments were carried out to validate the effectiveness of the cutting parameters.%螺旋铣是主要针对航空领域中难加工材料的先进制孔工艺技术.在螺旋铣孔过程中,主轴转速、每齿进给量和每转轴向切削深度是3个最主要的加工参数.以材料去除量和刀具耐用度为优化目标,基于Pareto多目标遗传算法,针对螺旋铣削钛合金材料在稳定性切削条件下的切削参数进行了优化,主要考虑铣削参数对孔表面质量的影响.最终通过切削实验进行了验证.