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

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成果类型:
期刊论文
作者:
Liu, Zhiping;Li, Zelong;Lyu, Duo;Zhang, Zhiwu;Hu, Hongwei
通讯作者:
Hongwei Hu
作者机构:
[Li, Zelong; Zhang, Zhiwu] College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, Hunan, 410114, China
Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment, Changsha 410114, China
[Liu, Zhiping; Lyu, Duo; Hu, Hongwei] College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, Hunan, 410114, China<&wdkj&>Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment, Changsha 410114, China
通讯机构:
[Hongwei Hu] C
College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, Hunan, 410114, China<&wdkj&>Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment, Changsha 410114, China
语种:
英文
期刊:
Applied Acoustics
ISSN:
0003-682X
年:
2025
卷:
228
页码:
110329
基金类别:
CRediT authorship contribution statement Zhiping Liu: Writing – review & editing, Writing – original draft, Supervision, Resources, Project administration, Investigation. Zelong Li: Writing – review & editing, Writing – original draft. Duo Lyu: Writing – review & editing, Writing – original draft, Conceptualization. Zhiwu Zhang: Writing – review & editing, Writing – original draft, Conceptualization. Hongwei Hu: Writing – review & editing, Writing – original draft, Visualization, Supervision, Resources, Project administration, Funding
机构署名:
本校为第一且通讯机构
院系归属:
汽车与机械工程学院
摘要:
Leaky Rayleigh waves are sensitive to surface defects and beneficial for automated detection due to their non-contact 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 acqui...

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