TY - JOUR
T1 - Quantitative reconstruction of debonding in ultra-thin honeycomb sandwich panel based on noncontact thermoelastic laser tapping
AU - Xie, Weichen
AU - Wang, Tiangang
AU - Zhou, Shiyuan
AU - Wu, Qiang
AU - Liu, Menglong
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/1
Y1 - 2025/1
N2 - Aluminum skin honeycomb sandwich panels (HSPs) are commonly used in aerospace structures. Conventional contact-based detection methods may scratch the skin surface or result in couplant immersion, and thus a novel quantitative, baseline-free, and noncontact laser tapping (LT) algorithm is proposed to detect the debonding in the aerospace HSP with an ultra-thin 0.3 mm thick skin and a 0.04 mm thick honeycomb wall. The algorithm features an LT C-scan imaging with a baseline-free debonding index, followed by an image processing-based reference-reconstruction quantification algorithm. The numerical results validate the robustness of the proposed algorithm against strong noises with an average accuracy over 99 %. Experimentally, the proposed algorithm shows the detectability of a single debonding wall not fulfilled with the conventional contact ultrasound, and the accuracies of 90.80 % and 95.81 % experimentally in quantifying two types of debonding defects are achieved, spotlighting the application potential of the proposed technique to noncontact HSP debonding detection.
AB - Aluminum skin honeycomb sandwich panels (HSPs) are commonly used in aerospace structures. Conventional contact-based detection methods may scratch the skin surface or result in couplant immersion, and thus a novel quantitative, baseline-free, and noncontact laser tapping (LT) algorithm is proposed to detect the debonding in the aerospace HSP with an ultra-thin 0.3 mm thick skin and a 0.04 mm thick honeycomb wall. The algorithm features an LT C-scan imaging with a baseline-free debonding index, followed by an image processing-based reference-reconstruction quantification algorithm. The numerical results validate the robustness of the proposed algorithm against strong noises with an average accuracy over 99 %. Experimentally, the proposed algorithm shows the detectability of a single debonding wall not fulfilled with the conventional contact ultrasound, and the accuracies of 90.80 % and 95.81 % experimentally in quantifying two types of debonding defects are achieved, spotlighting the application potential of the proposed technique to noncontact HSP debonding detection.
KW - Debonding defect
KW - Honeycomb sandwich panel
KW - Laser detection
KW - Nondestructive detection
UR - http://www.scopus.com/inward/record.url?scp=85208657303&partnerID=8YFLogxK
U2 - 10.1016/j.measurement.2024.116160
DO - 10.1016/j.measurement.2024.116160
M3 - Article
AN - SCOPUS:85208657303
SN - 0263-2241
VL - 242
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
M1 - 116160
ER -