Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 20Issue 4
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(4): 514-519
XU Han-hui, XU Chun-guang, ZHANG Yun-tao, LIU Long. Ultrasonic transducer array tomography for detecting defect of metal plate based on Hilbert transformation[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(4): 514-519.
Citation: XU Han-hui, XU Chun-guang, ZHANG Yun-tao, LIU Long. Ultrasonic transducer array tomography for detecting defect of metal plate based on Hilbert transformation[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(4): 514-519.
shu

Ultrasonic transducer array tomography for detecting defect of metal plate based on Hilbert transformation

  • 1.

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Patent examination cooperation center of SIPO, Beijing 100081, China

  • Received Date:2011-01-23
    Abstract
  • Hilbert transformation and improved ellipse localization method is applied in ultrasonic transducer array tomography to detect defect of metal plate. By combining the improved ellipse localization method and time-reversal method, the new ultrasonic tomography algorithm employs smooth Hilbert envelope instead of discrete amplitude to reconstruct defect image. An ultrasonic tomography system with six transducers is built to evaluate the effectiveness of the new ultrasonic tomography algorithm. The S0 mode Lamb wave is excited on special condition,and the mode of received signal is identified by Vigner-Wille distribution. The gray value of image area is defined by envelope of the reflected S0 mode Lamb wave signal from defect boundary. Defect image can be reconstructed by summing gray value of all pixels in the image area. The experimentally reconstructed defect image shows that the new tomography algorithm based on Hilbert transformation is efficient for defect detection in metal plate.
    • FullText(HTML)
  • loading
    • References (11)
  • [1]
    Su Zhongqing, Ye Ling, Lu Ye. Guided Lamb waves for identification of damage in composite structures: A review[J]. Journal of Sound and Vibration, 2006, 295(3-5): 753-780.
    [2]
    Toyama N, Noda J, Okabe T. Quantitative damage detection in cross-ply laminates using Lamb wave method[J]. Composites Science and Technology, 2003, 63(10): 1473-1479.
    [3]
    Xu Chunguang, Rose J L. Defect sizing of plate-like structure using Lamb waves, QNDE conference proceedings[R].Chicago:American Institute of Physics, 2008.
    [4]
    Malyarenko E V, Mark Hinders. Fan beam and double crosshole Lamb wave tomography for mapping flaws in aging aircraft structures[J]. J Acoust Soc Am, 2000, 108(4): 1631-1639.
    [5]
    Michaels J E, Michaels T E. Guided wave signal processing and image fusion for in-situ damage localization in plates[J]. Wave Motion, 2007, 44(6): 482-492.
    [6]
    Hay T R, Royer R L. A comparison of embedded sensor Lamb wave ultrasonic tomography approaches for material loss detection[J]. Smart Mater Struct, 2006, 15(4): 946-951.
    [7]
    Jansen D P, Hutchins D A, Mottram J T. Lamb wave tomography of advanced composite laminates containing damage[J]. J Acoust Soc Am, 1994, 32(4): 83-89.
    [8]
    Rose J L. Ultrasonic waves in solid media[M]. Cambridge, UK: Cambridge University Press, 1999: 30-85.
    [9]
    Mirahmadi S J, Honarvar F, Gopalakrishnan S, et al. Application of signal processing techniques to ultrasonic testing of plates by S0 Lamb wave mode[J]. NDT&E International, 2011, 44(1): 131–137.
    [10]
    Jie Zhang, Bruce W D, Wilcox P D, et al. Defect detection using ultrasonic arrays: The multi-mode total focusing method[J]. NDT&E International, 2010, 43(2): 123-133.
    [11]
    Kotte O L, Niethammer M. Lamb wave characterization by differential reassignment and non-linear anisotropic diffusion[J]. NDT&E International, 2006, 39(2):96-105.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (683) PDF downloads(199) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map