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A novel 3D evaluation method for surface defects using broadband laser-generated Rayleigh waves with wavenumber
Qichao Cheng1, Jun He1, Shixi Yang1
1State Key Laboratory of Fluid Power Components and Mechatronic Systems, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China.
This study introduces a new 3D surface defect imaging method using laser-generated Rayleigh waves. The technique accurately detects small defects and evaluates their depth by analyzing wavenumber changes and wave amplitude.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Acoustic Wave Propagation
Background:
- Traditional surface defect imaging methods struggle with small defects and depth evaluation.
- Local wavenumber estimation for surface defect imaging faces challenges with accuracy and depth assessment.
Purpose of the Study:
- To propose a novel three-dimensional (3D) evaluation method for surface defects using broadband laser-generated Rayleigh waves and wavenumber analysis.
- To overcome limitations in imaging small defects and evaluating defect depth.
Main Methods:
- Established a finite element model to simulate Rayleigh wave interaction with surface defects.
- Investigated wavenumber changes in Rayleigh waves upon encountering defects.
- Developed a 3D evaluation method involving frequency-wavenumber analysis and space-frequency-wavenumber analysis.
- Estimated defect depth by analyzing the maximum amplitude of the Rayleigh wave.
Main Results:
- Rayleigh wave interaction with defects generates mode-converted scattered waves with lower wavenumbers.
- A linear relationship exists between defect depth and maximum Rayleigh wave amplitude.
- The proposed method effectively suppresses noise and achieves high-precision imaging of small surface defects.
Conclusions:
- The novel 3D evaluation method offers improved precision for small surface defect imaging.
- The method enables accurate defect depth evaluation through amplitude analysis.
- This research provides a potential application for advanced 3D surface defect assessment.
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