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Corrosion crack detection method for mechanical parts based on artificial intelligence

A technology of mechanical parts and artificial intelligence, applied in image enhancement, image analysis, instruments, etc., can solve problems such as pixel discontinuity, branch crack interruption, affecting analysis accuracy and rationality, and avoid engineering accidents and damage Accurate and Reasonable Effects

Active Publication Date: 2022-01-07
南通皋亚钢结构有限公司
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Problems solved by technology

[0005] However, since there are many branch cracks in stress corrosion cracks, and the width of some branch cracks is thinner, and there are certain limitations and processing errors in image acquisition and image processing, therefore, there may be pixel points in the branch cracks in the processed thinned image The discontinuity will lead to the interruption of the branch cracks of the same branch, which will affect the accuracy and rationality of the subsequent analysis

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  • Corrosion crack detection method for mechanical parts based on artificial intelligence

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[0033] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the following in conjunction with the accompanying drawings and preferred embodiments, a method for detecting corrosion cracks of mechanical parts based on artificial intelligence proposed according to the present invention, its specific Embodiments, structures, features and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0035] The specific scheme of a method for detecting corros...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based corrosion crack detection method for mechanical parts. This method collects the crack defect image of mechanical parts to obtain the crack defect area, and performs a thinning operation on the crack in the crack defect area to obtain a thinned image; obtains the crack endpoint in the thinned image according to the continuity of the crack, and based on the extension of the crack endpoint The region repairs the middle crack in the thinned image; uses the branching characteristics of the crack to obtain multiple crack segments of the repaired crack, and obtains the damage degree of the crack defect to the mechanical parts according to the length and angle of the crack segment, and adopts the corresponding method based on the damage degree. measures. According to the continuity and branching characteristics of the crack, the intermediate crack is repaired, and the damage degree to the mechanical parts is obtained by analyzing the repaired crack, so that the detection result is more accurate and reasonable, and the detection error is reduced.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based corrosion crack detection method for mechanical parts. Background technique [0002] Under the combined action of stress and corrosive medium, mechanical equipment parts will appear brittle cracking phenomenon below the material strength limit, which is called stress corrosion cracking. The appearance of cracks will reduce the safety of the structural system, and even lead to the failure of the whole part. Therefore, it is necessary to detect the stress corrosion cracks on the surface of the parts, and obtain the degree of damage to the surface of the parts, so as to determine the subsequent processing operations of the mechanical parts. [0003] Today's mainstream crack measurement methods mainly include the potentiometric method and the compliance method. The potential method is based on the conductivity of metal components to ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/00G06T7/62
CPCG06T7/62G06T7/0004G06T5/77
Inventor 保柳柳
Owner 南通皋亚钢结构有限公司
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