Automatic detection and classification device for leakage procedure of bearing ring

Abstract

The invention relates to an automatic detection and classification device for leakage procedure of a bearing ring. The automatic detection and classification device is controlled by a control system automatically and comprises a material conveying material, a material clamping mechanism, a mould change rotary plate and a manipulator; the material conveying mechanism comprises a stepping motor I, a belt wheel, a conveying belt, a correlation type photoelectric switch, a material accommodating cavity and a pair of location rods; the material clamping mechanism comprises a pair of clamping rods for connecting a connecting plate I with an air cylinder I; the mould changing rotary plate comprises a plurality of independent detection moulds, a connecting plate II, a plurality of air cylinders II, a proximity switch, a rotary plate, a stepping motor II, a mounting plate and an air cylinder II. The automatic detection and classification device for leakage procedure of the bearing ring can automatically classify bearing rings leaking different processing procedures, and is suitable for large-batch detection; the labor can be largely reduced, the classification errors caused by manual detection are avoided, and the production efficiency and the product qualification ratio are improved.

Description

technical field [0001] The invention relates to a detection device, in particular to an automatic detection and classification device for bearing ring leaking process. Background technique [0002] Bearings are widely used in the manufacturing industry. According to the data released by the National Bureau of Statistics, the total annual production of rolling bearings in my country exceeds 10 billion sets, and there are more than 2,000 bearing manufacturers in my country. The detection of bearings is a very important link in the production process of bearings. In the production of bearing rings, due to the many processing procedures during the turning process, it often happens that a certain processing procedure is missed. If it is not detected in time, continue to enter Subsequent production will affect or even damage the production equipment on the production line, seriously affecting production efficiency. [0003] Most of the missing process detection of bearing rings a...

AI Technical Summary

Problems solved by technology

The detection of bearings is a very important link in the production process of bearings. In the production of bearing rings, due to the many processing procedures during the turning process, it often happens that a certain processing procedure is missed. If it is not detected in time, continue to enter Subsequent production will affect or even damage the production equipment on the production line, seriously affecting production efficiency

[0003] Most of the missing process detection of bearing rings adopts the method of manual sampling inspection. The results obtained through this detection method cannot be guaranteed to be 100% reliable. First, the sampling inspection cannot represent the processing status of the entire product; make a wrong judgment

Among the published patents, one is to use the overall mold to detect the bearing ring, which cannot automatically classify the workpieces missing different processes, and still needs manual judgment, which does not eliminate the error of manual detection; the other is to use computer vision and image The solution is to use the camera to collect images from the outside of the bearing ring. For some bearing rings with complex internal processing, some processing features will block other processing features, resulting in visual blind spots, making it impossible for the camera to capture. full image

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