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Virtual source total focusing method for surface defects using leaky Rayleigh waves

delete2025-01-01
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PRE
AI
刘志平 cover
刘志平 (Zhiping Liu)
Z
Zelong Li
D
Duo Lyu
Z
Zhiwu Zhang
胡宏伟 cover
胡宏伟 (Hongwei Hu) *
DOI:10.1016/j.apacoust.2024.110329delete
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Abstract

Abstract

En 中文
Leaky Rayleigh waves are sensitive to surface defects and beneficial for automated detection due to their noncontact characteristics. However, the amplitude of the leaky Rayleigh waves is low due to the attenuation of waveform conversion and acoustic waves propagation, which limits the imaging quality for long-distance detection. This study introduces a novel method combining leaky Rayleigh waves detection with virtual source total focusing method. The virtual source (VS) technology enhances the emission energy of leaky Rayleigh waves. Then, the total focusing method (TFM) is applied to acquire high-accuracy images of defects. To reduce noise and artifacts, a weighting function based on the coherence factor (CF) is developed to weight the TFM superimposed signals, thereby achieving high-quality image reconstruction. Experimental results show that compared with the conventional TFM method, the proposed method can effectively improve the amplitude of imaging signals while reducing system noise and imaging artifacts. The lateral accuracy of defects is improved, with the average lateral error of defect size being 0.178 mm. The signal-to-noise ratio (SNR) of ultrasound images is increased by 27.59 dB, and the array performance index (API) of ultrasound images is decreased by 33.78 %. The proposed method provides a new and effective approach for quantitatively assessing the surface defects of metal components using leaky Rayleigh waves.
Keywords:
Ultrasonic Non-destructive Testing
Leaky Rayleigh Waves Imaging
Total Focusing Method
Virtual Source Technology

Journal

Applied Acoustics cover
Applied Acoustics
IF:
3.6
Papers:
7.3K
Citations:
1.7W

Organization

No organization information available