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为合理选择航天工业难加工材料钛合金的切削参数(切削速度、切削深度和每齿进给量),提出以切削功率、刀具耐用度和孔表面粗糙度Ra为优化目标,建立螺旋铣孔切削参数优化数学模型,用帕累托多目标遗传算法求解该模型,然后用正交试验法验证目标函数数学模型的预测精度,最后对钛合金螺旋铣孔切削工艺进行实证分析。结果表明:优化解集是切削速度为40~80 m/min、每齿进给量为0.05~0.07 mm/r、切削深度为0.1~0.3 mm、Ra为0.40~0.55μm;Ra预测值误差为3%,而切削功率误差仅为1.5%,表明设计的目标函数模型具有较高的预测精度;切削参数优化结果通过了实验验证。
In order to select the cutting parameters (cutting speed, cutting depth and feed per tooth) of Ti alloy which is difficult to be machined in aerospace industry, the cutting power, tool durability and hole surface roughness Ra are optimized to establish spiral milling cut Parameter optimization mathematical model, the Pareto multi-objective genetic algorithm to solve the model, and then use the orthogonal test method to verify the prediction accuracy of the mathematical model of the objective function, and finally empirical analysis of titanium alloy spiral milling hole cutting process. The results show that the optimum solution set is the cutting speed of 40 ~ 80 m / min, the feed rate per tooth of 0.05 ~ 0.07 mm / r, the cutting depth of 0.1 ~ 0.3 mm, Ra of 0.40 ~ 0.55μm; 3%, while the cutting power error is only 1.5%, indicating that the design of the objective function model has a high prediction accuracy; cutting parameters optimization results through the experimental verification.