Abstract
This research is focused on developing a novel Lock-In Thermography-based scanning system to detect subsurface defects in aircraft rivets. The proposed system included a customized thermographic device consisting of a thermal camera, heating source, synchronized control circuitry, and post-processing software utilizing the Discrete Wavelet Transform technique, augmented by spatial gradient and mean filtering methods. To validate the developed system, a two-pronged hierarchical approach was adopted. The detection scheme for looseness and internal cracks in rivets was first developed and refined in a lab environment. After successful trials on lab samples, the scheme was further employed in different areas of actual aircraft. A total of 751 rivets were scanned for looseness and internal cracks, and a very promising detection rate was observed, confirmed through visual inspection and microscopic analysis. The developed setup can be further extended to other sub-surface defects such as corrosion and other structural non-homogeneities.
| Original language | English |
|---|---|
| Article number | 112423 |
| Journal | Mechanical Systems and Signal Processing |
| Volume | 228 |
| DOIs | |
| State | Published - 1 Apr 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
Keywords
- Discrete Fourier Transform (DFT)
- Discrete Wavelet Transform (DWT)
- Image Processing
- Lock-in Thermography (LIT)
- Noise suppression
- Non-destructive testing system
- Riveted Joints
- Sub-surface defects
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Civil and Structural Engineering
- Aerospace Engineering
- Mechanical Engineering
- Computer Science Applications
Fingerprint
Dive into the research topics of 'A Lock-In thermography based post-processing scheme for the detection of sub-surface rivet-related defects in aircraft structures'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver