The Prediction Model of Surface Roughness Based on Experiments of Turning Titanium Alloy

The experiments of turning titanium alloy are carried out by using central composite design, the influences of cutting speed, feed rate and cutting depth on surface roughness are analyzed. The surface roughness prediction model is established based on the response surface method. The significance of the regression equation is validated and the influences of the cutting parameters on surface roughness are compared. The results show that: within the range of cutting parameters used in the experiments, the most significant parameter on surface roughness is given by feed rate, followed by cutting depth, and the cutting speed has minimal effect on surface roughness; the prediction model is significant. It can be used to select various suitable parameters before the machining processing to predict and control the surface roughness.