Prediction models for the surface roughness and cutting force of TB6 titanium alloy milled at a high speed

Dry milling tests were conducted on high-strength TB6 titanium (Ti) alloy with coated carbide tools. The empirical models are constructed for the surface roughness and cutting force through regression analysis, to investigate the influence laws of technological parameters such as the cutting speed (CS), feed per tooth (FPT), and depth of cut on the cutting force and surface roughness. The research shows that the axial depth of cut (ADC) most greatly influences the cutting force; the technological parameters are listed in descending order as the FPT, ADC, CS, and radial depth of cut (RDC) according to their influences on the surface roughness. The CS and RDC have significant interaction.