THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Qing-Ju Tang

,

Si-Jie An

,

Cui-Zhu Feng

,

Chi-Wu Bu

NON-LINEAR FREQUENCY-MODULATED INFRARED THERMAL WAVE DETECTION OF DEBONDING DEFECTS IN CFRP LAMINATES

ABSTRACT
Non-linear frequency modulation infrared thermal wave detection system was established to detect and analyze debonding defects of different sizes of CFRP laminates. Principal component analysis, thermal signal reconstruction, and total harmonic distortion are used to process the infrared image sequence collected by thermal imager, and the processing effect is evaluated by signal-to-noise ratio. Compared with the other two image sequence processing algorithms, principal component analysis has better effect, can effectively improve the signal-to-noise ratio, and the defect edge in the processed image is clearer.
KEYWORDS
CFRP, Infrared thermal imaging, NLFM, PCA, TSR, THD
PAPER SUBMITTED: 2022-08-09
PAPER REVISED: 2022-11-15
PAPER ACCEPTED: 2022-11-22
PUBLISHED ONLINE: 2023-01-21
DOI REFERENCE: https://doi.org/10.2298/TSCI220809015T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 1, PAGES [545 - 552]
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Non-linear frequency-modulated infrared thermal wave detection of debonding defects in CFRP laminates

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence