Related Experiment Video
Updated: May 12, 2026
06:25
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
Published on: February 12, 2014
8.4K
Ultrasonic leaky rayleigh wave imaging using extended phase shift migration and image fusion
Hongwei Hu1, Rui Yang2, Duo Lyu1
1College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China; Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment, Changsha 410114, China.
Ultrasonics
|May 6, 2025
Summary
Phased array ultrasonic leaky Rayleigh waves improve defect detection range and efficiency. This method enhances signal-to-noise ratio and imaging performance for industrial surface and sub-surface defect analysis.
Area of Science:
- Non-destructive testing
- Ultrasonic wave propagation
- Phased array imaging
Background:
- Ultrasonic leaky Rayleigh waves offer non-contact defect detection.
- Single transducer methods have limited energy and detection range.
- Phased array systems can overcome these limitations.
Purpose of the Study:
- To propose an advanced imaging algorithm for ultrasonic leaky Rayleigh wave detection.
- To enhance detection range and imaging quality for surface and sub-surface defects.
- To improve upon existing detection methods for industrial applications.
Main Methods:
- Utilizing phased array for leaky Rayleigh wave generation.
- Implementing virtual source-based extended phase shift migration (VSEPSM) to increase detection distance.
- Employing fast Fourier transform (FFT) interpolation for improved lateral detail.
- Applying a custom image fusion technique to merge EPSM and VSEPSM results.
Main Results:
- VSEPSM enhances effective detection distance by increasing transmitting element energy.
- FFT interpolation improves lateral detail and overall imaging quality.
- Image fusion merges the strengths of different methods for comprehensive defect visualization.
- Achieved a 5.94 dB increase in average SNR and 61.4% improvement in imaging efficiency compared to TFM.
Conclusions:
- The proposed imaging algorithm offers superior performance for detecting distant defects.
- This method provides an effective solution for industrial surface and sub-surface defect detection.
- The combination of VSEPSM, FFT interpolation, and image fusion significantly advances NDT capabilities.
