Tool damage online and in-situ detection system in clean cutting environment and method

Abstract

The invention discloses a tool damage online and in-situ detection system in a clean cutting environment and a method. The system comprises an on-line pre-judgment and recognition system, an in-situ detection system, a cleaning system for cleaning a tool, and a computer, wherein the on-line pre-judgment and recognition system is used for measuring the vibration amount of a cutting position in realtime, the change value of a main shaft voltage and the current, the change value of the cutting force and a sound signal, the in-site detection system is used for acquiring a side edge image and a bottom edge image of the tool in-site, and the computer is used for carrying out time domain feature and frequency domain feature extraction and data fusion on signals collected by the on-line pre-judgment and recognition system; whether the data are abnormal or not is judged primarily; and the image is further processed to judge the damage type and damage degree of the tool. According to the method, the tool damage is preliminarily judged through the on-line pre-judgment and recognition system, then the damage type and damage degree of the tool are judged, so that accurate detection of tool abrasion is realized.

Description

technical field [0001] The invention belongs to the technical field of tool detection, in particular to a system and method for on-line and in-position detection of tool damage in a clean cutting environment. Background technique [0002] In the process of automated mechanical processing, monitoring tool wear status is one of the important means to reduce manufacturing costs, reduce manufacturing environmental hazards, and ensure the normal and efficient operation of the manufacturing system and product quality. Tool wear has a significant impact on the processing accuracy, processing quality and processing efficiency of the product. If the tool wear is not discovered in time, it will lead to scrapped parts, machine downtime, machine damage, and even workpiece breakage, which directly affects processing and economic benefits. . Industrial statistics show that tool wear is the primary factor causing machine tool failures, and the resulting downtime accounts for 1 / 5 to 1 / 3 of...

AI Technical Summary

Problems solved by technology

[0003] Chinese Patent Publication No. CN102564314A discloses an orthogonal visual detection system for detecting the wear state of end mills. This detection system needs to stop the machine and disassemble the tool for detection in the laboratory, which occupies production man-hours and is not conducive to the production efficiency and economy of the flexible manufacturing system. The benefit is improved, and the state change process of tool grinding/damage in the processing process cannot be detected; Chinese Patent Publication No. CN106840028A discloses an in-situ measurement method and device for tool wear, and the visual inspection system is installed on the side of the machine tool tool to detect Inspection, the visual inspection system is fixed, it is impossible to realize multi-angle image acquisition of the tool, the detection of the tool

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