Tool wear monitoring system based on current and sound emission composite signals

Abstract

The invention relates to a tool wear monitoring system based on current and sound emission composite signals. The system comprises a current signal detection mechanism and a sound emission signal detection mechanism. The current signal detection mechanism comprises a current sensor, a current amplification filtering device, an A / D converter II and a computer. The sound emission signal detection mechanism comprises a sound emission sensor, a signal amplifier, an anti-aliasing filter, an A / D converter I and a computer. Tool wear state characteristics in cutting motor current signals and sound emission signals are adaptively acquired, rich tool wear state information in the sound cutting motor current signals and the sound emission signals is fully excavated through the method, in combination with methods of wavelet packet analysis, correlation analysis, principal component analysis and the like, characteristic information of the current tool wear state is adaptively extracted and reflected, and the tool wear degree is judged by analyzing correlation between the characteristic information and initial wear state characteristics.

Description

technical field [0001] The invention relates to the field of tool wear monitoring, in particular to a tool wear monitoring system based on current and acoustic emission composite signals. Background technique [0002] As a part of the automation technology of the manufacturing process, tool wear status recognition has been increasingly valued by people. A reliable tool wear status monitoring system can guide the machine tool to complete automatic tool change by timely and accurately reflecting the tool wear status information to achieve uninterrupted The production process stabilizes the processing quality of the workpiece. [0003] Tool wear state monitoring methods are mainly divided into direct measurement method and indirect measurement method. Direct measurement methods, such as optical method, radiation method, resistance method, etc., have high measurement accuracy, but are susceptible to interference from the processing environment, making it inconvenient to perfor...

AI Technical Summary

Problems solved by technology

Although the features extracted by the above methods can reflect the wear state of the tool to a certain extent, due to the complexity of the actual processing conditions, these features are difficult to fully and effectively reflect the change of the wear state of the tool, so the independent acoustic emission signal monitoring Stability and reliability are not too high

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