In order to solve the problem of parameter optimization of minimum quantity lubrication (MQL) system in titanium alloy milling

Taguchi method was used. With air flow rate

cutting fluid usage and cutting fluid concentration as variables

surface roughness Ra and cutting force as evaluation indexes

the MQL milling test of titanium alloy was carried out. Multi-objective optimization of minimum quantity lubrication system parameters was carried out using grey relation analysis and principal component analysis method. By analyzing the influence of various factors on grey relation grade

the optimal combination of system parameters was determined to be air flow rate of 90L/min

cutting fluid usage of 15mL/h and cutting fluid concentration of 70%. The optimized process parameters can effectively improve the surface quality of the workpiece and reduce the cutting force

which provides a reference for the reasonable selection of parameters of MQL system.