Multi-parameter sensing cutting tool wear monitoring method

Abstract

The invention belongs to the technical field of metal cutting machining, and relates to a multi-parameter sensing cutting tool wear monitoring method. The cutting tool wear monitoring method providedby the invention is real-time online monitoring of a cutting process, and the cutting tool wear monitoring method comprises the following steps of measuring signals such as cutting power, cutting force, cutting vibration and cutting temperature in the cutting process on line through a plurality of sensors; fitting a multi-parameter sensing equation of the wear amount of the rear tool surface of atool with respect to the measurement signals and cutting parameters; and establishing a software system integrating sensing equation solutions, and realizing real-time monitoring of the wear of the cutting tool through the solutions to the sensing equation. The multi-signal measurement can realize the monitoring precision guarantee of the tool wear; and the fitting and solving of the sensing equation can realize intelligent monitoring of the tool wear. The multi-parameter sensing cutting tool wear monitoring method provided by the invention can be widely applied to tool wear monitoring in a metal material cutting process, realizes the intelligence of a cutting unit, and promotes comprehensive improvement of the service life of the tool and the cutting production efficiency.

Description

technical field [0001] The invention relates to a multi-parameter sensing cutting tool wear monitoring method, belonging to the technical field of metal cutting. Background technique [0002] Mechanical intelligent fault diagnosis is a key part of the realization of intelligent manufacturing. In the process of mechanical processing, cutting processing is the most important processing method for part forming and manufacturing. The wear of cutting tools can directly affect the processing accuracy, production efficiency and comprehensive manufacturing cost of parts. Therefore, , Tool wear monitoring is of great significance for ensuring production quality, reducing production costs, and realizing continuous automation of intelligent manufacturing. Tool wear monitoring methods are divided into direct measurement method and indirect measurement method. The direct measurement method uses optical measurement, ray measurement, discharge current measurement and other means to direct...

AI Technical Summary

Problems solved by technology

The direct measurement method uses optical measurement, ray measurement, discharge current measurement and other means to directly obtain the wear value of the tool, but due to the influence of the cutting process, it cannot monitor the tool wear in real time during the cutting process; the indirect measurement method uses the characteristic signal during the cutting process Acquisition and data processing realize the monitoring of tool wear

At present, the existing indirect measurement methods have been able to realize tool wear monitoring to a certain extent, but there are still some shortcomings, mainly in: the accuracy of tool wear monitoring based on single characteristic signal collection is limited; the post-processing process of characteristic signals cumbersome

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