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

S. V. Panin, V. O. Chemezov, P. S. Lyubutin, V. V. Titkov

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 languageEnglish
Article number012019
JournalIOP Conference Series: Materials Science and Engineering
Volume177
Issue number1
DOIs
Publication statusPublished - 1 Mar 2017
Event10th International Conference on Mechanical Engineering, Automation and Control Systems 2016, MEACS 2016 - Tomsk, Russian Federation
Duration: 27 Oct 201629 Oct 2016

Fingerprint

Crack tips
Fatigue of materials
Cracks
Crack detection
Fatigue testing
Optical systems
Pixels

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

Cite this

The algorithm of crack and crack tip coordinates detection in optical images during fatigue test. / Panin, S. V.; Chemezov, V. O.; Lyubutin, P. S.; Titkov, V. V.

In: IOP Conference Series: Materials Science and Engineering, Vol. 177, No. 1, 012019, 01.03.2017.

Research output: Contribution to journalArticle

@article{0de5ab9f28be4e428023fe15b5c3d016,
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.}",
year = "2017",
month = "3",
day = "1",
doi = "10.1088/1757-899X/177/1/012019",
language = "English",
volume = "177",
journal = "IOP Conference Series: Materials Science and Engineering",
issn = "1757-8981",
publisher = "IOP Publishing Ltd.",
number = "1",

}

TY - JOUR

T1 - The algorithm of crack and crack tip coordinates detection in optical images during fatigue test

AU - Panin, S. V.

AU - Chemezov, V. O.

AU - Lyubutin, P. S.

AU - Titkov, V. V.

PY - 2017/3/1

Y1 - 2017/3/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85016197018&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016197018&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/177/1/012019

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

M3 - Article

VL - 177

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-8981

IS - 1

M1 - 012019

ER -