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Mechanical part corrosion crack detection method based on artificial intelligence

A technology of mechanical parts and artificial intelligence, applied in image data processing, instruments, calculations, etc., can solve problems such as discontinuous pixels, branch crack interruptions, affecting the accuracy and rationality of analysis, and avoid engineering accidents and damages Accurate and Reasonable Effects

Active Publication Date: 2021-11-26
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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  • Mechanical part corrosion crack detection method based on artificial intelligence

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Embodiment Construction

[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 a mechanical part corrosion crack detection method based on artificial intelligence. The method comprises the following steps of acquiring a crack defect image of a mechanical part to obtain a crack defect area, and refining the cracks in the crack defect area to obtain a refined image; acquiring a crack end point in the refined image according to the continuity of the crack, and repairing the interrupted crack in the refined image based on an expansion region of the crack end point; and obtaining a plurality of crack sections of the repaired crack by utilizing the branch characteristics of the crack, and obtaining the damage degree of the crack defect to the mechanical part according to the length and angle of the crack sections so as to take corresponding measures according to the damage degree. The broken crack is repaired according to the continuity and branch characteristics of the crack, and the repaired crack is analyzed to obtain the damage degree of the crack to the mechanical part, 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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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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