THERMAL SCIENCE

International Scientific Journal

Qing-Ju Tang

,

Hong-Ru Bu

,

Zhuo-Yan Gu

,

Hao-Dong Li

,

Rui Xie

,

Vladimir Vavilov

,

Arsenii Chulkov

EXPERIMENTAL STUDY ON INFRARED THERMAL WAVE DETECTION OF HONEYCOMB SANDWICH STRUCTURE DEFECTS BY USING BARKER CODE EXCITATION

ABSTRACT
The paper describes a thermal testing system implementing Barker code thermal wave excitation accurately detect defects in GFRP/NOMEX honeycomb sandwich structures. Influence of defect parameters on detection efficiency is explored. Four algorithms, namely, PCA, PPT, THD, and TW-PCA, have been used to process infrared image sequences. The obtained results show that all algorithms suppress background noise to a certain degree, but the TW-PCA technique has proven to be more effective providing the higher both signal-to-noise ratio and information entropy.
KEYWORDS
GFRP/NOMEX honeycomb sandwich structure, signal-to-noise ratio, barker code excitation, image sequence processing, information entropy
PAPER SUBMITTED: 2024-11-01
PAPER REVISED: 2024-11-27
PAPER ACCEPTED: 2024-12-02
PUBLISHED ONLINE: 2025-06-01
DOI REFERENCE: https://doi.org/10.2298/TSCI2502273T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 2, PAGES [1273 - 1279]
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PDF VERSION [DOWNLOAD]
Experimental study on infrared thermal wave detection of honeycomb sandwich structure defects by using barker code excitation

2025 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