Cutting tool wear state monitoring method based on noise analysis

Abstract

The invention discloses a cutting tool abrasion state monitoring method based on noise analysis. The cutting tool abrasion state monitoring method comprises the following steps that noise signals of a corresponding numerical control machine tool when a cutting tool works are collected; preprocessing the noise signal; extracting features representing tool wear; obtaining a tool wear characteristic standard value; obtaining a tool wear characteristic threshold value; obtaining a tool wear feature current value; and comparing the current value with a threshold value to judge the wear state of the cutter. A measuring device is not needed, the prediction speed is high, the accuracy is high, the sensor is convenient to install, normal machining of the numerical control machine tool is not affected, and the abrasion state of the cutting tool of the numerical control machine tool can be monitored in real time.

Description

technical field [0001] The invention belongs to the technical field of cutting tool wear measurement and monitoring of numerically controlled machine tools, in particular to a cutting tool wear state monitoring method based on noise analysis. Background technique [0002] During the machining process, with the progress of the cutting tool, the tool will inevitably wear. When the tool wear accumulates to a certain range, it will cause the vibration of the machine tool, the surface quality of the workpiece and the accuracy of the machining dimension. Lead to the generation of waste products, and the research on real-time monitoring technology of cutting tool wear state of CNC machine tools can help reduce the occurrence of the above problems. [0003] Over the years, online condition monitoring of tool wear has been widely studied, and some results have been achieved in the fields of tool wear, workpiece deformation, signal processing and identification, and some methods have ...

AI Technical Summary

Problems solved by technology

The method of using cutting force, torque and spindle power characteristic indicators to monitor the tool wear state is mainly used in the working condition of fixed processing parameters, and cannot be applied to actual mass production, especially in rough machining where the processing parameters fluctuate to a certain extent field

However, vibration and other methods are troublesome to install sensors, and even need to change the structure of the machine tool, which affects the normal processing of the machine tool, and it is difficult to popularize and apply in actual production.

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