The algorithm of crack and crack tip coordinates detection in optical images during fatigue test

Abstract

An algorithm of crack detection during fatigue testing of materials, designed to automate the process of cyclic loading and tracking the crack tip, is proposed and tested. The ultimate goal of the study is aimed at controlling the displacements of the optical system with regard to the specimen under fatigue loading to ensure observation of the 'area of interest'. It is shown that the image region that contains the crack may be detected and positioned with an average error of 1.93%. In terms of determining the crack tip position, the algorithm provides the accuracy of its localization with the average error value of 56 pixels.

Original language	English
Article number	012019
Journal	IOP Conference Series: Materials Science and Engineering
Volume	177
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/177/1/012019
Publication status	Published - 1 Mar 2017
Event	10th International Conference on Mechanical Engineering, Automation and Control Systems 2016, MEACS 2016 - Tomsk, Russian Federation Duration: 27 Oct 2016 → 29 Oct 2016

ASJC Scopus subject areas

Materials Science(all)
Engineering(all)

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10.1088/1757-899X/177/1/012019

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title = "The algorithm of crack and crack tip coordinates detection in optical images during fatigue test",

abstract = "An algorithm of crack detection during fatigue testing of materials, designed to automate the process of cyclic loading and tracking the crack tip, is proposed and tested. The ultimate goal of the study is aimed at controlling the displacements of the optical system with regard to the specimen under fatigue loading to ensure observation of the 'area of interest'. It is shown that the image region that contains the crack may be detected and positioned with an average error of 1.93%. In terms of determining the crack tip position, the algorithm provides the accuracy of its localization with the average error value of 56 pixels.",

author = "Panin, {S. V.} and Chemezov, {V. O.} and Lyubutin, {P. S.} and Titkov, {V. V.}",

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AU - Titkov, V. V.

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AB - An algorithm of crack detection during fatigue testing of materials, designed to automate the process of cyclic loading and tracking the crack tip, is proposed and tested. The ultimate goal of the study is aimed at controlling the displacements of the optical system with regard to the specimen under fatigue loading to ensure observation of the 'area of interest'. It is shown that the image region that contains the crack may be detected and positioned with an average error of 1.93%. In terms of determining the crack tip position, the algorithm provides the accuracy of its localization with the average error value of 56 pixels.

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