Research On Key Technologies Of Tool Wear Condition Monitoring In Milling

With the development of industrial intelligence, CNC machining technology is toward intelligent direction. The tool wear condition monitoring technology played an important role in the development of Intelligent CNC machining. In the process of machining, the tool wear condition can be monitored accurately and timely, and the failure of the tool being replaced in time will help to improve the production efficiency and improve the service life of the tool. Tool wear condition monitoring system is an urgent need for the development of modern CNC machining, and its key technology research is of great significance.In this paper, the formation mechanism of tool wear is analyzed in detail. According to the analysis of the tool wear blunt standard, considering the influence of different wear condition on the monitoring signal, choose the reasonable monitoring method, set up the data acquisition platform of milling cutter wear state monitoring system, make signal acquisition scheme and collect signal data.The feature extraction is performed on the collected data, and the relationship between the feature vector and the wear of milling tool is established. According to the feature of high feature vector dimension, the improved feature selection method of recursive feature elimination for multi classification support vector machine is proposed. The test samples are used to validate the method, which is better than other feature selection methods, which provides a low dimension for the subsequent state identification, and is sensitive to the wear condition of different milling tool. Using the method of the least square support vector machine with universal gravitation optimization to identify the wear state of the milling tool, the identification of the tool wear state is carried out using the selected feature vectors. By contrast, the recognition method has high recognition accuracy.Finally, combined with the advantages of VC software and Matlab software, the tool wear condition monitoring system is developed. It can realize the rapid identification of tool wear state in milling process. Through the identification results display interface, the user can directly determine the status of tool wear, so as to determine whether to replace the tool. It can reduce downtime and improve processing efficiency.Through the research on the key technology of milling tool wear condition monitoring system, the tool utilization rate is improved, the production of scrap is avoided, the waste of resources is reduced, and the processing efficiency is improved. It has laid the foundation for the development of Intelligent CNC machining.