THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Qing-Ju Tang

,

Wei-Ming Fan

,

Juan Ji

,

Ya-Fei Song

DEFECT DETECTION OF GFRP/NOMEX HONEYCOMB SANDWICH STRUCTURE BY LINEAR FREQUENCY MODULATION INFRARED THERMAL IMAGING

ABSTRACT
Honeycomb sandwich material is a new material widely used in many fields, but it is easy to produce defects such as delamination and ponding in the process of manufacturing and service. First, a honeycomb sandwich sample containing delamination defects and water accumulation was built. Then, a linear frequency modulated driving halogen lamp is used as the excitation source. Finally, the surface thermal image sequence of the test sample is acquired by infrared thermal imager. Image sequences are processed by inter-frame difference-multi-frame cumulative average method, principal component analysis, Fourier transform method, and logarithmic polynomial fitting method, respectively. Define and calculate the signal-to-noise ratio of the heat map processed by each algorithm. Compared with the other three algorithms, the principal component analysis method processed the image with the highest signal-to-noise ratio and high contrast. This algorithm achieves effective identification of delamination defects and water accumulation in GFRP/Nomex honeycomb sandwich structure.
KEYWORDS
GFRP/Nomex, linear frequency modulation, signal-to-noise ratio analysis, image sequence processing
PAPER SUBMITTED: 2021-01-12
PAPER REVISED: 2021-03-11
PAPER ACCEPTED: 2021-04-26
PUBLISHED ONLINE: 2021-12-24
DOI REFERENCE: https://doi.org/10.2298/TSCI2106611T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 6, PAGES [4611 - 4619]
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Defect detection of GFRP/Nomex honeycomb sandwich structure by linear frequency modulation infrared thermal imaging

© 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