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Development of signal processing algorithms for delamination detection in composite laminates using non-contact
Lea A C Lecointre1, Ryo Higuchi1, Tomohiro Yokozeki1
1Department of Aeronautics and Astronautics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Ultrasonics
|November 27, 2024
Summary
A new signal processing algorithm effectively detects delaminations in carbon fiber plates using Lamb waves. Advanced image comparison methods improve defect detection and identification of healthy areas.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Signal Processing
Background:
- Carbon Fiber Reinforced Polymer (CFRP) plates are susceptible to delamination, compromising structural integrity.
- Non-contact methods for Lamb Wave generation and analysis are crucial for efficient inspection.
Purpose of the Study:
- To develop and assess a novel signal processing algorithm for delamination detection in CFRP plates.
- To evaluate the performance of Lamb Wave analysis combined with Wavelet Transform and Image Processing.
Main Methods:
- A non-contact system generated Lamb Waves in CFRP plates.
- A novel algorithm combined Wavelet Transform Analysis and Image Processing techniques.
- Damage Indexes were extracted from wavefields in the spatial-time-frequency domain.
Main Results:
- The algorithm efficiently characterized wave propagation.
- Surface cartographies of Damage Indexes visualized delamination sizing and localization.
- Sophisticated image comparison indexes demonstrated superior defect detection and healthy zone recognition.
Conclusions:
- The developed signal processing algorithm is effective for characterizing Lamb Wave propagation.
- Advanced image comparison techniques enhance the detectability of artificial delaminations in CFRP plates.
