Optimization of process parameters for minimizing the temperature field of high-speed milling of titanium alloy thin-walled parts

The high milling temperature in the high-speed milling process restricts the production efficiency and processing quality of titanium alloy thin-walled parts. Optimizing the processing parameters can control the temperature within a reasonable range, which can improve its production efficiency and processing quality. Therefore, it is imperative to conduct research on milling temperature and multi-objective parameter optimization during the milling process. In this paper, the temperature field model of the workpiece was established using the moving heat source method. The finite element method was used to simulate the temperature field of the workpiece during the milling process. The milling temperature was measured by an infrared thermal imager, and a milling temperature prediction model was set up based on the experimental data. Considering the minimum milling temperature and the maximum material removal rate, the whale optimization algorithm was applied to optimize the processing parameters. The results showed that the maximum error of simulation and experimental results is less than 15%. The milling temperature decreases with the increase of spindle speed and increases with the increase of cutting depth and feed speed. The Pareto solution set obtained by the optimization method can provide a reference for the selection of subsequent milling parameters.