Cutter breakage detection method based on internal data of numerical control system

Abstract

The invention discloses a cutter breakage detection method based on internal data of a numerical control system, comprising the following steps: (1) collecting the internal data of a numerical control system as cutter data, recording manufacturing resource data, and intercepting machining state data from the cutter data and pre-filtering the cutter data to get low-frequency data of cutter machining state; (2) extracting signal features characterizing cutter state according to the low-frequency data of cutter machining state to form a feature vector fea={fea<1>, fea<2>,...,fea<m>}, wherein i is the sample number of cutter data, and m is the number of feature dimensions; and (3) carrying out model training according to the feature vector and a corresponding category thereof to get a training model, judging the state of a cutter according to the training model, and completing cutter breakage detection in this way. A real-time accurate cutter breakage detection function is achieved. Subsequent scraping of cutters and parts is avoided. The first pass yield of products of an automatic production line is improved.

Description

technical field [0001] The invention belongs to the field of tool state monitoring of numerical control machine tools, and more specifically relates to a tool breaking detection method based on internal data of a numerical control system. Background technique [0002] In the process of CNC machine tool processing, tool breakage directly affects the pass-through rate of processed parts. If the tool is not found and replaced in time, it will further cause tool breakage in subsequent processes, produce a large number of unqualified products, waste resources, reduce processing efficiency, and even cause Cause a certain degree of damage to the machine tool body. [0003] At present, there are two techniques for detecting tool breakage of CNC machine tools. One is to directly identify the appearance, surface quality or geometric shape of the blade to judge the tool state, which is called the direct method. Disclosed as CN204405002U is a kind of portable CNC milling tool detector,...

AI Technical Summary

Problems solved by technology

[0004] In summary, the current tool breaking detection technology mainly relies on external sensor devices to obtain tool geometry or state data for tool breaking detection, which has the following shortcomings: 1) It is necessary to install an external sensor device (including image acquisition equipment), which is complicated to operate and increases the labor force and technical cost; 2) The placement of external sensors is easily affected by human factors, especially in harsh industrial environments, the reliability of tool geometry or state data and detection results cannot be guaranteed; 3) The real-time performance of online detection is poor

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