THERMAL SCIENCE

International Scientific Journal

Qing-Ju Tang

,

Juan Ji

,

Wei-Ming Fan

,

Ling Ran

,

Si-Jie An

,

Tao Zhang

,

Chi-Wu Bu

EXPERIMENTAL STUDY ON INFRARED PHASE-LOCKED THERMAL IMAGING INSPECTION OF CARBON FIBER REINFORCED POLYMER LAMINATES

ABSTRACT
Aiming at the debonding defect of carbon fiber reinforced polymer laminates, an infrared phase-locked thermal imaging inspection system was established, and the influence of different defect diameter and depth parameters on the test was analyzed. The principal component analysis algorithm and Karhunen-Loeve Transform algorithm are used to process the image sequence, and the signal-to-noise ratio is calculated. It is concluded that principal component analysis algorithm can improve the image quality more. Gray enhancement and sharpening filter are used to improve the image clarity, thus accurately segmenting the defect features, and realize a clear and intuitive visual image.
KEYWORDS
carbon fiber reinforced polymer laminate, Infrared thermal imaging, principal component analysis algorithm
PAPER SUBMITTED: 2021-06-15
PAPER REVISED: 2021-07-12
PAPER ACCEPTED: 2021-07-22
PUBLISHED ONLINE: 2022-04-09
DOI REFERENCE: https://doi.org/10.2298/TSCI2202105T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2022, VOLUME 26, ISSUE Issue 2, PAGES [1105 - 1111]
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Experimental study on infrared phase-locked thermal imaging inspection of carbon fiber reinforced polymer 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