Precision prediction of surface roughness in high speed peripheral milling Ti6Al4V alloy

Surface quality is important in engineering manufacture and a vital aspect of it is surface roughness, since it plays an important role in wear resistance, ductility, tensile, and fatigue strength for machined parts. In this paper, the influences of plastic deformation of work piece material in cutting process and tool vibration on the surface profile generation are analysed, and then illustration experiments are carried out under a range of high cutting speed (150-250 m/min). The experimental data are collected by a non-contact optical GFM MicroCAD system, and based on the results a regression model, termed as DRP model in this paper, is proposed for predicting surface roughness of peripheral milling. The prediction precision of DRP has been validated with a series of milling experiments, and the validation results show that the developed model achieves a good performance. This developed DRP model has a good prediction precision and can be used for predicting surface roughness in peripheral milling operation for industrial manufacturers.