A SVM-based design method for cutting edge profile stability of large-pitch thread turning tool considering vibration

The violent vibrations generated during turning large-pitch screws seriously affect the tool wear, which reduces the cutting edge profile stability and affects the surface quality of the threads. We propose a new SVM-based design method for cutting edge profile stability of large-pitch thread turning tool considering the influence of vibration, and the model has also been validated experimentally. The simulation model of cutting process considering the influence of cutting vibration was established by simulating tool trajectory, and the influence of edge parameters and tool structure parameters on cutting edge profile stability was analyzed. Then, the data obtained from finite element simulation are used for training to establish the prediction model of cutting edge profile stability based on SVM. The average errors of cutting force, cutting temperature, and tool wear are 3.14%, 2.33%, and 3.91%, respectively, which proves the effectiveness of the prediction model. Furthermore, the optimization objective functions of blunt and chamfered edges were established, and the cutting parameters and tool structure parameters were optimized based on Artificial Bee Colony Algorithm. Results indicate that cutting edge profile-stabilized tool can be obtained by this method. The study builds a theoretical basis for suppressing vibration during the cutting process and provides technical assistance for tool design of different cutting edges.