Optimization of robot machining process parameters based on multi-feature signal fusion analysis

Industrial robots have the advantages of good flexibility, low manufacturing cost, high processing efficiency, high level of automation, compared with the traditional machine tool processing, there are better prospects for application in the holistic processing of mass and sophisticated components. But, given the weak structural stiffness performance of the robot, resulting in poor milling accuracy, it is difficult to meet the actual processing quality requirements. For this reason, this paper takes the aerospace module bracket as the research object, proposes the machining quality control method based on the optimization of process parameters, carries out the orthogonal test of robotic milling, researches the impact of process parameters on cutting force, cutting vibration, and surface quality, and adopts the gray correlation method to optimize the milling process parameters, and finally realizes the quality control of robotic machining.