TC4钛合金高速铣削表面粗糙度研究

TC4钛合金被广泛地用于航空航天等众多领域,为了提高钛合金零件的表面加工质量和加工效率,对TC4钛合金高速铣削表面粗糙度进行研究具有十分重要的意义。切削参数是影响TC4钛合金加工表面粗糙度的重要因素,采用了正交试验分析主轴转速n、铣削深度ap、铣削宽度ae和每齿进给量fz等4个试验因素对表面粗糙度的影响规律,运用了极差分析法绘制出铣削参数对表面粗糙度的影响趋势曲线。利用了多元线性回归分析计算出表面粗糙度的数学模型,采用F值检验法对数学模型和模型参数进行了显著性验证:F>F0.01(4,11),证明了模型和参数都是高度显著的。利用了表面粗糙度预测模型对另外8组切削参数进行粗糙度预测,并将预测结果与实际实验结果时行对比,最大误差为8.9%,验证了表面粗糙度预测模型的有效性,为TC4钛合金加工提供了理论依据。

Study on Surface Roughness of High Speed Milling of TC4 Titanium Alloy

TC4 titanium alloys are widely used in many fields,such as aeronautics and astronautics,In order to improve the surface processing quality and processing efficiency of titanium alloy parts,it is very important to study the surface roughness of TC4 titanium alloy in high-speed milling. Cutting parameters are important factors affecting the surface roughness of TC4 titanium alloy,which the influence of four test factors,such as spindle speed n,milling depth ap,milling width ae,and feed per tooth fZ,on the surface roughness is analyzed by orthogonal test and the influence trend curve of milling parameters on surface roughness is drawn by the method of extreme difference analysis. The mathematical model of surface roughness is calculated by multiple linear regression analysis;the F value experiment method is used to verify saliency of the mathematical model and the model parameters;F>F0.01(4,11)proves that both the model and the parameters are highly significant. The surface roughness prediction model is used to predict the roughness of the other 8 sets of cutting parameters and the prediction results are compared with the actual experimental results. The maximum error is 8.9%,which validates the validity of the surface roughness prediction model and provides a theoretical basis for the processing of TC4 titanium alloy.