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 | |
| 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 |
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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 journal › Article
}
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.
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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 -