Calculating probability of detection of short surface cracks using inductive thermography

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Calculating probability of detection of short surface cracks using inductive thermography. / Oswald-Tranta, Beata; Hackl, Alexander; Lopez de Uralde Olavera, P. et al.
In: Quantitative InfraRed Thermography Journal, Vol. 21.2024, No. 2, 23.12.2022, p. 82-101.

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Oswald-Tranta B, Hackl A, Lopez de Uralde Olavera P, Gorostegui-Colinas E, Rosell A. Calculating probability of detection of short surface cracks using inductive thermography. Quantitative InfraRed Thermography Journal. 2022 Dec 23;21.2024(2):82-101. Epub 2022 Dec 23. doi: 10.1080/17686733.2022.2152259

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@article{a499d6b8fc884772b8da171d012cc84d,
title = "Calculating probability of detection of short surface cracks using inductive thermography",
abstract = "Inductive thermography experiments on artificial defects were used to calculate the POD of this inspection technique. In nickel-based austenitic superalloy samples defects in the range of 0.3–1.9 mm length and with 0.25–1.5 mm depth were inspected. 11 samples, each of them with 9 different defects, were used for the experiments. Additionally, finite element simulations were carried out to support the POD calculation and in order to investigate how different parameters affect the results. The measured and the simulated temperature sequences were evaluated by Fourier transform to a phase image, and the signal-to-noise ratio of the phase contrast around the crack was used as signal {\^a} for the {\^a} versus a POD calculation. As the phase contrast depends not only on the defect length but also on the defect depth, POD depending on both variables was calculated, which can be visualised as a POD surface. Finally, experimental results on samples with real cracks (fatigue cracks and cracks obtained through the Varestraint test machine) were compared to the results obtained by the FEM simulation and in the experiments for the artificial defects.",
author = "Beata Oswald-Tranta and Alexander Hackl and {Lopez de Uralde Olavera}, P. and E. Gorostegui-Colinas and A. Rosell",
note = "Publisher Copyright: {\textcopyright} 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2022",
month = dec,
day = "23",
doi = "10.1080/17686733.2022.2152259",
language = "English",
volume = "21.2024",
pages = "82--101",
journal = "Quantitative InfraRed Thermography Journal",
issn = "1768-6733",
number = "2",

}

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TY - JOUR

T1 - Calculating probability of detection of short surface cracks using inductive thermography

AU - Oswald-Tranta, Beata

AU - Hackl, Alexander

AU - Lopez de Uralde Olavera, P.

AU - Gorostegui-Colinas, E.

AU - Rosell, A.

N1 - Publisher Copyright: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

PY - 2022/12/23

Y1 - 2022/12/23

N2 - Inductive thermography experiments on artificial defects were used to calculate the POD of this inspection technique. In nickel-based austenitic superalloy samples defects in the range of 0.3–1.9 mm length and with 0.25–1.5 mm depth were inspected. 11 samples, each of them with 9 different defects, were used for the experiments. Additionally, finite element simulations were carried out to support the POD calculation and in order to investigate how different parameters affect the results. The measured and the simulated temperature sequences were evaluated by Fourier transform to a phase image, and the signal-to-noise ratio of the phase contrast around the crack was used as signal â for the â versus a POD calculation. As the phase contrast depends not only on the defect length but also on the defect depth, POD depending on both variables was calculated, which can be visualised as a POD surface. Finally, experimental results on samples with real cracks (fatigue cracks and cracks obtained through the Varestraint test machine) were compared to the results obtained by the FEM simulation and in the experiments for the artificial defects.

AB - Inductive thermography experiments on artificial defects were used to calculate the POD of this inspection technique. In nickel-based austenitic superalloy samples defects in the range of 0.3–1.9 mm length and with 0.25–1.5 mm depth were inspected. 11 samples, each of them with 9 different defects, were used for the experiments. Additionally, finite element simulations were carried out to support the POD calculation and in order to investigate how different parameters affect the results. The measured and the simulated temperature sequences were evaluated by Fourier transform to a phase image, and the signal-to-noise ratio of the phase contrast around the crack was used as signal â for the â versus a POD calculation. As the phase contrast depends not only on the defect length but also on the defect depth, POD depending on both variables was calculated, which can be visualised as a POD surface. Finally, experimental results on samples with real cracks (fatigue cracks and cracks obtained through the Varestraint test machine) were compared to the results obtained by the FEM simulation and in the experiments for the artificial defects.

UR - http://www.scopus.com/inward/record.url?scp=85145105290&partnerID=8YFLogxK

U2 - 10.1080/17686733.2022.2152259

DO - 10.1080/17686733.2022.2152259

M3 - Article

AN - SCOPUS:85145105290

VL - 21.2024

SP - 82

EP - 101

JO - Quantitative InfraRed Thermography Journal

JF - Quantitative InfraRed Thermography Journal

SN - 1768-6733

IS - 2

ER -