On the basis of analyzing the energy consumption characteristics of the milling process, aiming at the problems of high energy consumption, low efficiency and severe tool wear in the cutting process of hard-to-cut materials, a machine tool specific energy consumption prediction model considered the wear of the main flank of the tool was proposed. Taguchi method was used to design 304 stainless steel numerical control milling orthogonal experiment, and nonlinear regression was used to fit the experimental data, and the influence of cutting parameters and tool wear on the specific energy consumption of machine tools was analyzed. The results show that the accuracy rate of the machine tool’s specific energy consumption prediction model is above 96%;within the range of semi-finishing milling parameters, the specific energy consumption of the machine tool gradually decreases with the increase of milling depth, milling width, feed rate and milling speed, and linearly increases with the increase of tool wear value.