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Appl. Sci. 2018, 8(3), 409; https://doi.org/10.3390/app8030409

Depth Retrieval Procedures in Pulsed Thermography: Remarks in Time and Frequency Domain Analyses

NDT Laboratory, Department of Materials Science & Engineering, School of Chemical Engineering, National Technical University of Athens, Iroon Polytechniou No. 9, Zografou Campus, 15780 Athens, Greece
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Received: 15 January 2018 / Revised: 28 February 2018 / Accepted: 7 March 2018 / Published: 9 March 2018
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Abstract

In the present study, a Carbon Fibre Reinforced Polymer (CFRP) sample of trapezoid shape, consisting of internal artificial delaminations of various sizes and depth locations, is investigated by means of optical pulsed thermography for the retrieval of quantitative depth information. The main objectives of this work are to evaluate the produced depth estimation accuracy from two contrast-based depth inversion procedures as well as to correlate the acquired results with characteristics such as the location and size of the detected features and with analysis parameters such as the selection of the sound area. Quantitative analysis is performed in both the temporal and frequency domains, utilising, respectively, the informative parameters of thermal contrast peak slope time and blind frequency. The two depth retrieval procedures are applied for the depth estimation of features ranging in size from 3 mm to 15 mm and in depth from 0.2 mm to 1 mm. The results of the present study showed that the two different analyses provided efficient depth estimations, with frequency domain analysis presenting a greater accuracy. Nevertheless, predicting errors were observed in both cases and the factors responsible for these errors are defined and discussed. View Full-Text
Keywords: pulsed thermography; quantitative analysis; depth; peak slope time; blind frequency; CFRP; delaminations pulsed thermography; quantitative analysis; depth; peak slope time; blind frequency; CFRP; delaminations
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Theodorakeas, P.; Koui, M. Depth Retrieval Procedures in Pulsed Thermography: Remarks in Time and Frequency Domain Analyses. Appl. Sci. 2018, 8, 409.

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