Abstract:
A composite tool cutting monitoring system used for a machine is provided. The cutting monitoring system includes a data capturing module, a database and a cutting control module. The data capturing module is configured to capture a motor current data of the machine and a tool wear data. The motor current data is used as a training data for a tool wear state prediction model to perform deep learning and forecasting. The database is configured to establish a tool wear database for the comparison of a tool wear state. The tool wear state prediction model outputs a tool wear state prediction data to the cutting control module. The cutting control module judges whether the tool wear state is normal according to the tool wear state prediction data.
Abstract:
A machining path modification method includes the following steps: analyzing the machining path of a machining program to decide whether any point of the machining path is an avoidant point; obtaining an abnormal point of the machining path; and if the abnormal point exists, modifying the machining program to add an abnormality avoidant path on the avoidant point of the machining path.