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Automated image processing using magnetic defectoscopy


Article Information

Title: Automated image processing using magnetic defectoscopy

Authors: Anatoly Grigorevich Korobeynikov, Aleksanin Sergey Andreevich, Oleg Arcad’evich Perezyabov

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 17

Language: English

Categories

Abstract

To identify defects, for example, cracks in the surface layers of steel parts methods are applied that base on the analysis of magnetic field dissipation nearby the defects after magnetization of these parts. Magnetic flux will vary in the areas with discontinuity. Magnetic particle inspection is one of the best known magnetic defectoscopy methods. In this case magnetic particle powder (dry method) or suspension (wet method) is applied on the magnetized part surface. Usage of fluorescent powders or suspensions makes defects more easily seen in the images of the inspected parts. Therefore, it becomes possible to carry out automated processing of such images. The paper presents automated procedure for selection of the image processing methods. It exemplifies image processing for a steel part with a view to defect detection with the help of luminous lines appearing after the wet method application.


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