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Cluster Computing

, Volume 22, Supplement 3, pp 6551–6562 | Cite as

The metal thickness detection using pulsed eddy-current computation and detection method

  • Liang Zhao
  • Chu-Jun Li
  • Zhong-Xing DuanEmail author
  • Wei Wang
  • Xiao-Dong Wu
Article
  • 138 Downloads

Abstract

Through detecting method of pulsed eddy-current (PEC) and according to thickness testing model of multi-layer metal, infer the mathematical model of eddy current testing method in single-layer metal. Use Maxwell field equations to find solutions of vector magnetic potential in its boundary conditions thus infer the impedance of hollow coil placed right above metal. Analyze the variation relationship between induced current and metal thickness in theory level. (1) Obtain three characteristic signals of induced current: altitude of current peak value (ACPV), time of reaching current peak (TRCP) and time of traversing zero point (TTZP). The thickness of the metal and the distance between the metal and coil were obtained. (2) Introduce the concept of the lift-off intersection point (LOI) and puts forward a new method of metal thickness detection based on the LOI. By analyzing the results of the experiment, it confirms the feasibility of the LOI of measurement in the metal thickness.

Keywords

Metal thickness Pulsed eddy-current (PEC) Nondestructive test Lift-off intersection point (LOI) 

Notes

Acknowledgements

This work was financially supported by National Nature Science Foundation of China (Grant Nos. 51478383, 5120916, 51678470), National Program on Key Research SUB-Project (Grant No. 2017YFC0704207-03), Youth Science and Technology Project of Shaanxi Province (Grant No. 2016KJXX-64), Science and technology project of Xi’an (Grant No. JKDZ0011), Science and technology project of Xi’an BEI LIN (Grant No. GX1705).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Liang Zhao
    • 1
  • Chu-Jun Li
    • 1
  • Zhong-Xing Duan
    • 1
    Email author
  • Wei Wang
    • 2
  • Xiao-Dong Wu
    • 1
  1. 1.Department of Info and AutomationXi’an University of Architecture and TechnologyXi’anChina
  2. 2.School of Civil EngineeringXi’an University of Architecture and TechnologyXi’anChina

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