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Method for automatically and accurately measuring abrasion loss of cutter based on gray image probability

A tool wear and grayscale image technology, which is applied in the field of tool wear measurement in NC machining, can solve problems such as large reconstruction errors and missing original boundaries, and achieve the effects of improved accuracy, high measurement efficiency, and fast labeling

Active Publication Date: 2020-01-24
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the original boundary is missing after the tool wears and the approximation method is used to fit the missing original boundary.

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  • Method for automatically and accurately measuring abrasion loss of cutter based on gray image probability
  • Method for automatically and accurately measuring abrasion loss of cutter based on gray image probability
  • Method for automatically and accurately measuring abrasion loss of cutter based on gray image probability

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Embodiment Construction

[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0048] Such as Figure 1-7 shown.

[0049] An automatic and accurate measurement method for tool wear based on grayscale image probability, the process is as follows figure 1 As shown, the specific steps are as follows:

[0050] Step 1. Image acquisition, mainly through a set of on-machine automatic shooting system to acquire tool wear images in the machining gap, such as figure 2 shown;

[0051] Step 2, image preprocessing, including image grayscale, image denoising and image enhancement, such as image 3 shown;

[0052] Step 3. TSD-based ROI extraction mainly includes three parts: the construction of detection tool image descriptors, image correction and ROI extraction; among them, the construction of tool image descriptors includes: straight lines in the image, construction of centroid intersection network, and according to the relationship At...

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Abstract

The invention discloses a method for automatically and accurately measuring the abrasion loss of a cutter based on a gray image probability. The method is characterized in that a method for solving the missing original boundary of a cutting edge based on Bayesian inference is provided for solving the problem of accurate measurement of the abrasion loss of the cutter caused by missing of the original boundary of the cutting edge. A likelihood function of a tool wear boundary and a priori probability model of an original boundary are established by analyzing the change rule of the gray value ofthe cutting edge of the milling cutter, and the missing original boundary is reconstructed by maximizing the posteriori probability of the original boundary of the tool. The area of a worn area is obtained by using a region growing method to realize accurate calculation of the cutter wear extent. According to the invention, automatic and accurate measurement of the cutter abrasion loss is realized, the measurement precision and efficiency are improved, and an effective solution is provided for the marking problem of a large amount of data in cutter state monitoring.

Description

technical field [0001] The invention relates to the field of tool wear measurement in numerical control machining, in particular to an automatic and precise measurement method for tool wear under large data manufacturing, in particular to an automatic and precise measurement method for tool wear based on grayscale image probability. Background technique [0002] With the deep integration of information technology and manufacturing technology, CNC machining is gradually moving towards informationization and intelligence. As an important part of the CNC machining system, the state of the tool is closely related to the machining cost and the surface integrity of the part. The measurement of tool wear is very important to ensure the machining quality of parts. The measurement of tool wear is divided into two methods: downtime measurement and real-time monitoring. In the production process of the enterprise, the state of the tool is observed by stopping the machine to measure t...

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06F17/18
CPCG06T7/0004G06T7/13G06F17/18G06T2207/30164Y02P90/30
Inventor 李迎光刘长青李晶晶牟文平
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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