Non-linear frequency-modulated infrared thermal wave detection of debonding defects in CFRP laminates-Reference-Cited by-同舟云学术

Non-linear frequency-modulated infrared thermal wave detection of debonding defects in CFRP laminates

Published:2023 Issue:1 Part B Volume:27 Page:545-552
ISSN:0354-9836
Container-title:Thermal Science
language:en
Short-container-title:THERM SCI

Author:

Tang Qing-Ju¹,An Si-Jie¹,Feng Cui-Zhu¹,Bu Chi-Wu²

Affiliation:

1. School of Mechanical Engineering, Heilongjiang University of Science and Technology, Harbin, China

2. College of Light Industry, Harbin University of Commerce, Harbin, China

Abstract

Non-linear frequency modulation infrared thermal wave detection system was established to detect and analyze debonding defects of different sizes of CFRP laminates. Principal component analysis, thermal signal reconstruction, and total harmonic distortion are used to process the infrared image sequence collected by thermal imager, and the processing effect is evaluated by signal-to-noise ratio. Compared with the other two image sequence processing algorithms, principal component analysis has better effect, can effectively improve the signal-to-noise ratio, and the defect edge in the processed image is clearer.

Publisher

National Library of Serbia

Subject

Renewable Energy, Sustainability and the Environment

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