钛合金TC25铣削表面粗糙度预测模型研究

Study on predictive model for surface roughness of milling titanium alloy TC25

TC25钛合金具有良好的高温强度和热稳定性,是制造航空发动机的理想材料。表面粗糙度是衡量钛合金零件表面加工质量的重要指标。基于正交试验数据,采用极差分析探究各铣削参数对铣削表面粗糙度的影响程度与影响规律。影响表面粗糙度的铣削参数的主次顺序为:每齿进给量f z>主轴转速n>轴向切深a p>径向切深a e。空列极差R=0.026,小于各因素极差值,说明各因素对指标均有较大影响且水平选择合理。采用多元线性回归方法建立了钛合金TC25铣削表面粗糙度预测模型。对预测模型进行了显著性检验,F=21.5473>F(4,11),说明模型高度显著。通过加工验证试验,证明了切削参数A 3 B 1 C 1 D 1为最优组合。验证试验的预测误差为1.2%~8.1%,证明预测模型具有较高的精度。

TC25 titanium alloy is an ideal material for aeroengine because of its outstanding mechanical properties that can be provided at high temperature.Surface roughness is used as an important evaluation criterion of the surface processing quality.Based on the results of orthogonal experiment,the influence of milling parameters on surface roughness is analyzed by the method of extreme difference analysis.The results show that the cutting feed f z has the most significant effect on the surface roughness.The extreme difference of empty column R=0.026,which indicates that factors and levels are reasonable.A 3B 1C 1D 1 is a set of optimized parameters.The predictive model for surface roughness of milling titanium alloy TC25 is established by multiple linear regression analysis.Variance analysis is used to verify saliency of the predictive model.Finally,the obtained optimal parameters and the accuracy of predictive model are validated by confirmation test.