Rolling body full-surface defect detection method

Abstract

The invention relates to a rolling body full-surface defect detection method. The rolling body full-surface defect detection method comprises the following steps that in the rolling process of a rolling body, the surface of the rolling body is sequentially presented in the field of view of a camera, and the camera shoots a multi-frame image, so that all the information of the three-dimensional surface of the rolling body is obtained; binarization processing is carried out on each frame of image, the rolling body corresponds to white in the image, and the defect part corresponds to black in theimage; the communication domain operation is carried out, and the position of the white area, namely the position of the rolling body, is obtained through the communication domain operation; defect piece recognition is carried out through communication domain operation and convex defect detection, when the defect is located in the rolling body, the black area forms a closed area, and the area threshold value is set, if the area of the closed area detected by the communication domain operation is larger than the area threshold value, it is judged that the inner defect of the rolling body exists; and when the defect is located at the edge of the rolling body, the contour shape of the rolling body is influenced, and the defect is recognized through a convex defect detection algorithm.

Description

Technical field [0001] The invention relates to an automatic detection device for defects on the entire surface of a rolling element. Background technique [0002] Rolling bearings are widely used in machinery, electric power, petrochemical, metallurgy, aerospace and military industries. The rolling element is the core element in the rolling bearing. Because of its existence, there is rolling friction between the relative moving surfaces. The types of rolling elements include balls, cylindrical rollers, tapered rollers, and needle rollers. The quality of the rolling elements has a vital impact on the accuracy, motion performance, and service life of the rolling bearing, and has a significant impact on the motion state of the entire machine and the entire production line. However, the processing of existing rolling elements generally requires dozens of procedures, and some surface defects often appear during the processing, which seriously affects the quality and quality of the ...

AI Technical Summary

Problems solved by technology

However, the processing of the existing rolling elements generally requires dozens of processes, and some surface defects often appear during the processing, which seriously affects the quality and quality of the bearing and must be controlled.

Therefore, before the automatic assembly of rolling bearings, it is necessary to first detect the surface defects of the key parts of the rolling elements to avoid surface defects caused by processing, which will eventually cause serious damage to the mechanical device

[0003] At present, most bearing manufacturers use manual inspection to detect rolling element surface defects. This method is labor-intensive, low-efficiency, high-cost, and is easily affected by factors such as the technical quality, experience, visual resolution and fatigue of inspectors.

Some detection methods such as infrared flaw detectors are greatly affected by the external environment or operators, and the detection efficiency is low

Ultrasonic detection has strict requirements on the distance from the ultrasonic sensor to the workpiece and the positioning of the sensor, which is difficult to achieve in the factory environment

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