Grinding wheel wear detection method and system based on machine vision

A technology of machine vision and detection method, which is applied in the direction of instrumentation, image data processing, calculation, etc., can solve the problems of reducing the machining accuracy and quality of workpieces, and changing them, and achieves the effects of fast detection speed, simple detection equipment, and low cost

Pending Publication Date: 2022-02-25
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the wear and tear of the grinding wheel in the grinding process will cause shape changes and reduce the machining accuracy and quality of the workpiece, the invention provides a machine vision-based grinding

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  • Grinding wheel wear detection method and system based on machine vision
  • Grinding wheel wear detection method and system based on machine vision
  • Grinding wheel wear detection method and system based on machine vision

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Embodiment Construction

[0083] The detailed content and specific implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0084] Such as figure 1 , 2 As shown, during the grinding process, the position of the workpiece is fixed, and the grinding wheel rotates at high speed to process according to the feed direction shown in the figure. As the machining progress continues to deepen, the corners of the grinding wheel will wear, so a curve will be formed at the root of the workpiece to be machined. Therefore, it is necessary to adopt a certain method to detect it accurately.

[0085] see image 3 , a method for detecting grinding wheel wear based on machine vision in this embodiment, comprising the following steps:

[0086] (1) The camera shoots 15 checkerboards in different poses, and uses MATLAB software to calibrate the internal and external parameters and distortion parameters of the camera.

[0087] (2) Place the workpiece within ...

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Abstract

The invention relates to a grinding wheel abrasion detection method and system based on machine vision. The method comprises the following steps of: calibrating the internal and external parameters of a camera; placing a workpiece in a view range of a camera, and shooting a workpiece image; converting the acquired image into a grayscale image; converting the image into a binary image by using an Otsu threshold segmentation method; removing noise in the image by using median filtering; carrying out sub-pixel edge detection by using a zernike moment; determining a region of interest; performing curve fitting on the detected edge; and determining the abrasion condition of the grinding wheel. According to the invention, the method can quickly and efficiently detect the abrasion condition of the grinding wheel, judges whether the grinding wheel needs to be trimmed or not, and improves the grinding machining quality.

Description

technical field [0001] The invention belongs to the technical field of intelligent detection of grinding wheel wear, and in particular relates to a method and system for detecting grinding wheel wear based on machine vision. Background technique [0002] Grinding can obtain high machining accuracy and small surface roughness. Grinding is mostly used to process high-precision workpieces in the machinery manufacturing industry. Grinding is the use of high-speed rotating grinding wheels to cut workpieces. Among them, the grinding wheel is a consumable. With the continuous processing, the sand grains of the grinding wheel will continue to fall off, which will cause the shape of the grinding wheel to change, thereby reducing the processing accuracy and surface quality of the workpiece, and affecting the processing efficiency. Therefore, detecting the wear of the grinding wheel has important engineering significance for improving the processing quality of parts. [0003] At pre...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T7/80G06T5/00
CPCG06T7/0004G06T7/13G06T7/136G06T7/80G06T5/002G06T2207/10024G06T2207/20032G06T2207/30164
Inventor 王长昊胡小平于保华夏月冬
Owner HANGZHOU DIANZI UNIV
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