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Quantitative detection of surface defect using laser-generated Rayleigh wave with broadband local wavenumber
Jun He1, Xuekun Liu1, Qichao Cheng1
1State Key Laboratory of Fluid Power Components and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China; Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
This study introduces a new laser ultrasonic method for precise surface defect detection. It accurately quantifies defect geometry, offering a faster, non-destructive alternative for metal structures.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Acoustics
Background:
- Laser ultrasonic technology offers non-contact, non-destructive surface defect detection.
- Existing methods have limitations in imaging and parameter estimation for complex defects.
Purpose of the Study:
- To propose and validate a quantitative surface defect detection method using laser-generated Rayleigh waves.
- To accurately image and estimate geometric parameters of surface defects.
Main Methods:
- Utilizing broadband local wavenumber estimation for laser-generated Rayleigh waves.
- Employing image segmentation for defect geometric parameter estimation.
- Conducting experimental validation with a laser ultrasonic detection system.
Main Results:
- The proposed method demonstrates superior imaging for vertical and inclined defects compared to existing techniques.
- Accurate identification of defect geometric parameters (length, width, inclination angle) with low errors.
- Experimental validation confirms the method's effectiveness and precision.
Conclusions:
- The developed laser ultrasonic method provides accurate quantitative detection and characterization of surface defects.
- This technique offers a potential advancement for fast, non-destructive evaluation of metal structures.

