Experimental study on infrared thermal wave detection of honeycomb sandwich structure defects by using barker code excitation
Year: 2025
Type: article
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.
Source: Thermal Science
DOI: 10.2298/tsci2502273t
Authors: Qing-Ju Tang, Hong-Ru Bu, Zhuo-Yan Gu, Hao-Dong Li, Rui Xie, Vladimir Vavilov, Arsenii Chulkov
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $161
Awards: G2444927296, G6537233841
OpenAlex ID: W4410824225