Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation

Authors: Zhang, HaiAvdelidis, Nicolas P.; Osman, Ahmad; Ibarra Castanedo, ClementeSfarra, StefanoFernandes, Henrique; Matikas, Theodore E.; Maldague, Xavier
Other Title(s): Enhanced infrared image processing for impacted carbon / glass fiber-reinforced composite evaluation
Abstract: In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.
Document Type: Article de recherche
Issue Date: 26 December 2017
Open Access Date: 10 January 2018
Document version: VoR
Creative Commons Licence: https://creativecommons.org/licenses/by/4.0
Permalink: http://hdl.handle.net/20.500.11794/16381
This document was published in: Sensors, Vol. 18 (1), 1-13 (2017)
https://doi.org/10.3390/s18010045
Molecular Diversity Preservation International (MDPI)
Alternative version: 10.3390/s18010045
29278361
Collection:Articles publiés dans des revues avec comité de lecture

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