Digital twin driven numerically-controlled machine tool cutter monitoring system

Abstract

The invention discloses a digital twin driven numerically-controlled machine tool cutter monitoring system. The system comprises a cutter digital twin model construction module, a cutter stress simulation module, a cutter real-time state data acquisition and analysis module, a data preprocessing module and a residual life prediction module; the cutter digital twin model construction module constructs the virtual model of a data machine tool cutter; the cutter stress simulation module can simulate stress borne by the interior of the cutter in the cutting process of the cutter; the cutter real-time state data acquisition and analysis module can acquire environmental data and machining data in real time by configuring a data source and perform multi-dimensional analysis on historical data; and the data preprocessing module is mainly used for carrying out data cleaning, duplicate removal, dimension reduction, time domain feature extraction and frequency domain feature extraction on the acquired data; and the residual life prediction module is used for predicting and pre-warning against the wear state of the cutter based on the fused data of information physics. With the system disclosed by the invention adopted, the problem of the failure to grasp the wear state of the cutter and perform early warning in time in the milling process of the numerical control cutter can be solved, andthe management and control efficiency of the numerical control machine tool cutter is improved.

Description

technical field [0001] The invention belongs to the fields of electronic engineering and computer science, and in particular relates to a digital twin-driven CNC machine tool tool monitoring system. Background technique [0002] In mechanical processing, 70% of the processing comes from tool processing. Therefore, the quality and state of the tool will directly affect the final quality and processing efficiency of the workpiece. Monitoring the tool status to effectively manage the tool can improve the quality of workpiece processing, reduce downtime and improve production efficiency. Studies have shown that adding a tool monitoring system to CNC machine tools can reduce downtime by 75% and reduce maintenance costs by 30%. Therefore, the tool monitoring system has a significant impact on CNC machine tool maintenance, production quality, and production costs. However, there are several problems in the existing CNC tool monitoring system: (1) The cost of high-speed camera mo...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved in the present invention is: based on the digital twin technology, by designing and developing a digital twin-driven CNC machine tool tool monitoring system, the system can solve the problem that the tool wear state cannot be accurately grasped during the cutting task of the CNC machine tool, Improve the management and control efficiency of CNC machine tools

Images