Journal of Mechanical Science and Technology

, Volume 32, Issue 2, pp 623–630 | Cite as

Measurement of residual stress using linearly integrated GMR sensor arrays

  • Jungmin Kim
  • Minhhuy Le
  • Juhyeon Park
  • Heejoon Seo
  • Gyejo Jung
  • Jinyi Lee
Article

Abstract

Tubular-type transmission towers have several advantages, but could be compromised if welding defects from the construction process are not found during deployment. This research derived an equation that illustrates how a change in stress accompanied with mechanical deformation triggered a change in distribution of magnetic flux density. Furthermore, it verified experimentally that a change in distribution of magnetic flux density occurred due to a change in stress at the welding zone. Using this principle, this research proposes a system to measure residual stress occurred in the welding zone of tubular-type transmission tower. The ultrasound examination results were compared and the result showed that ultrasound signals revealed defects in a place where sudden distribution of magnetic flux density was presented. However, when a number of welding defects occurred across the large area, the distribution of magnetic flux density may not change due to the alleviating effect of the stress concentration.

Keywords

Residual stress Tubular-type transmission tower Stress concentration Weld zone GMR Sensor array Non-destructive testing 

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References

  1. [1]
    KEPRI report, Investigation of failures of 154 kV tubulartype transmission tower (2012).Google Scholar
  2. [2]
    J. U. Park and H. W. Lee, Effects of initial condition of steel plate on welding deformation and residual stress due to welding, J. of Mechanical Science and Technology, 21 (3) (2007) 426–435.CrossRefGoogle Scholar
  3. [3]
    V. Nagarkar, J. Gordon, S. Vasile, P. Gothoskar and F. Hopkins, High resolution X-ray sensor for non destructive evaluation, Nuclear Science Symposium and Medical Imaging Conference Record, 43 (1996) 1559–1563.Google Scholar
  4. [4]
    Y. Ito, T. Masuda, K. Nagao and K. Matsuoka, Ultrasonic testing system for ERW mill, IAS '97, 2 (1997) 866–872.Google Scholar
  5. [5]
    W. Yi and I. Yun, The defect detection and non-destructive evaluation in weld zone of austenitic stainless steel 304 using neural network-ultrasonic wave, J. of Mechanical Science and Technology, 12 (6) (1998) 1150–1161.Google Scholar
  6. [6]
    C. Ni, L. Hua, X. Wang, Z. Wang, X. Qin and Z. Fang, Coupling method of magnetic memory and eddy current nondestructive testing for retired crankshafts, J. of Mechanical Science and Technology, 30 (7) (2016) 3097–3104.CrossRefGoogle Scholar
  7. [7]
    V. Uchanin and V. Najda, The development of eddy current technique for WWER steam generators inspection, InTech. (2011) 145–164.Google Scholar
  8. [8]
    M. Le, J. Kim, S. Kim, D. Wang, Y. H. Hwang and J. Lee, Nondestructive evaluation algorithm of fatigue cracks and far-side corrosion around a rivet fastener in multi-layered structures, J. of Mechanical Science and Technology, 30 (9) (2016) 4205–4215.CrossRefGoogle Scholar
  9. [9]
    J. Kim, J. Lee, M. Le, J. Jun, C. Cho and K. Shin, Improvement of crack inspection possibility using the gradient directional magnetization and linearly integrated Hall sensors, J. of Mechanical Science and Technology, 26 (11) (2012) 74–81.Google Scholar
  10. [10]
    P. E. Mix, Magnetic flux leakage theory, In introduction to nondestructive testing: A training guide, Wiley-Interscience (2005) 73–78.Google Scholar
  11. [11]
    A. Dubov and S. Kolokolnikov, Assessment of the material state of oil and gas pipelines based on the metal magnetic memory method, Welding in the World, 56 (3) (2012) 11–19.CrossRefGoogle Scholar
  12. [12]
    M. Roskosz, A. Rusin and J. Kotowicz, The metal magnetic memory method in the diagnostics of power machinery componen, Journal of Achievements in Materials and Manufacturing Engineering, 43 (1) (2010) 362–370.Google Scholar

Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Jungmin Kim
    • 1
  • Minhhuy Le
    • 1
  • Juhyeon Park
    • 1
  • Heejoon Seo
    • 1
  • Gyejo Jung
    • 2
  • Jinyi Lee
    • 1
  1. 1.Research Center for IT-based Real Time NDTChosun UniversityPyongyangKorea
  2. 2.Korea Electric Power Research InstituteDaejeonKorea

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