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Author:

Liu, Zenghua (Liu, Zenghua.) | Guo, Yanhong (Guo, Yanhong.) | Zhao, Xin (Zhao, Xin.) | Cheng, Jinjie (Cheng, Jinjie.) | Su, Mengqi (Su, Mengqi.) | Zheng, Kunsong (Zheng, Kunsong.) | Liu, Xiaoyu (Liu, Xiaoyu.) | He, Cunfu (He, Cunfu.)

Indexed by:

EI Scopus SCIE

Abstract:

Electromagnetic acoustic transducers (EMATs) operate on the principle of electromagnetic induction, resulting in low energy conversion efficiency. The amplitude of the surface wave signal excited by EMATs is low, and the signal pulse width is large. Additionally, the signal used by conventional EMATs (surface wave EMAT in meander-line coil form) is typically a narrow-band signal with a single frequency, which limits the available frequency information for defect evaluation. To address these issues, this research proposes a novel EMAT integrating a Halbach magnet with a variable-distance meander-line coil (HBVD-EMAT). The HBVD-EMAT generates a magnetic field using a Halbach magnet and employs pulse compression techniques to guide the design of the coil and excitation signal. Finite element simulation is used to optimize the meander point where the current direction in the coil changes and to design the Halbach magnet length, improving the match between the frequency range of the HBVD-EMAT excited surface wave and the ideal frequency range. Detection experiments demonstrate that the HBVD-EMAT can excite a wideband pulse compression surface wave signal. Compared to the conventional EMAT, the signal amplitude of the HBVD-EMAT is enhanced by 1018 % due to the combined effect of the Halbach magnet and pulse compression technique. The main lobe width is reduced by 80 %, and the signal-to-noise ratio (SNR) is increased from 29.1 dB to 42.5 dB. These enhancements significantly improve the EMAT's ability to detect surface cracks in metal materials. The use of HBVD-EMAT enables accurate detection of closely spaced adjacent defects, and for multiple defects, it ensures the detection of all defects while precisely localizing each one. The time domain and frequency domain characteristic parameters extracted from the detection signal of HBVD-EMAT can quantitatively evaluate the crack depth. After these parameters had been combined to evaluate the crack depth, the prediction error of crack depth had been reduced.

Keyword:

Surface wave Pulse compression EMAT Crack detection Halbach magnet

Author Community:

  • [ 1 ] [Liu, Zenghua]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
  • [ 2 ] [Zhao, Xin]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
  • [ 3 ] [He, Cunfu]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
  • [ 4 ] [Guo, Yanhong]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China
  • [ 5 ] [Cheng, Jinjie]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China
  • [ 6 ] [Su, Mengqi]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China
  • [ 7 ] [Zheng, Kunsong]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China
  • [ 8 ] [Liu, Xiaoyu]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China

Reprint Author's Address:

  • [Zhao, Xin]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China

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Source :

SENSORS AND ACTUATORS A-PHYSICAL

ISSN: 0924-4247

Year: 2025

Volume: 386

4 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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