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作者:

Liu, Zenghua (Liu, Zenghua.) (学者:刘增华) | Chen, Long (Chen, Long.) | Zhu, Yanping (Zhu, Yanping.) | Liu, Xiaoyu (Liu, Xiaoyu.) | Lu, Zhaojing (Lu, Zhaojing.) | He, Cunfu (He, Cunfu.)

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摘要:

Far-field laser technology has greatly promoted the progress of nondestructive ultrasonic imaging of bulk structures. However, under thermoelastic excitation, the body waves exhibit a relatively low signal-to-noise ratio, resulting in images with low resolution and contrast. Based on the motivation, this paper developed a frequency-domain phase weighted imaging method to improve the quality of laser ultrasonic defect imaging. Firstly, laser ultrasonic scanning was performed on the sample with artificial transverse hole defects. The cylindrical lens focused line source was used to improve the intensity of the body wave signals, and ensure that there was no damage on the material surface under high laser energies. Then, the frequency-domain phase shift migration (PSM) algorithm was used to perform multimode imaging of defects, achieving frequency-domain synthetic aperture focusing technique (F-SAFT) and total focused method (F-TFM) imaging based on full matrix capture. Furthermore, the phase circular statistical vector (PCSV) was proposed for weighted optimization, which improved the image quality, suppressed the background noise and multimode artifacts. Finally, the imaging quality of several algorithms were discussed. The results indicate that frequency-domain images were superior to time-domain results. After phase weighting, the imaging quality can be further improved, and the detection blind zone was significantly reduced. This work will contribute to the rapid and high-quality defect imaging of laser ultrasonic.

关键词:

Laser ultrasonic Phase circular statistical vector Frequency-domain imaging Full matrix capture Multimode imaging

作者机构:

  • [ 1 ] [Liu, Zenghua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhu, Yanping]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [He, Cunfu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Zenghua]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Chen, Long]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Liu, Xiaoyu]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Lu, Zhaojing]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 8 ] [He, Cunfu]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Liu, Zenghua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;

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来源 :

ULTRASONICS

ISSN: 0041-624X

年份: 2024

卷: 141

4 . 2 0 0

JCR@2022

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SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

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