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Stress-Dependent Magnetic Flux Leakage: Finite Element Modelling Simulations Versus Experiments

  • Yujue Wang
  • Yevgen Melikhov
  • Turgut Meydan
  • Zengchong Yang
  • Donghang Wu
  • Bin Wu
  • Cunfu He
  • Xiucheng LiuEmail author
Article
  • 44 Downloads

Abstract

Assessing the effect of defect induced stresses on magnetic flux leakage (MFL) signals is a complicated task due to nonlinear magnetomechanical coupling. To facilitate the analysis, a multi-physics finite elemental simulation model is proposed based on magnetomechanical theory. The model works by quasi-statically computing the stress distribution in the specimen, which is then inherited to solve the nonlinear magnetic problem dynamically. The converged solution allows identification and extraction of the MFL signal induced by the defect along the sensor scanning line. Experiments are conducted on an AISI 1045 steel specimen, i.e. a dog-bone shaped rod with a cylindrical square-notch defect. The experiments confirm the validity of the proposed model that predicted a linear dependency of the peak-to-peak amplitude of the normalized MFL signal on applied stress. Besides identifying the effect of stress on the induced MFL signal, the proposed model is also suitable for solving the inverse problem of sizing the defects when stress is involved.

Keywords

Magnetic flux leakage Magnetomechanics Jiles–Atherton model Non-destructive testing Finite element method Multiphysics numerical simulation 

Notes

Acknowledgements

The authors thank Mr. Zengchong Yang and Donghang Wu from Beijing University of Technology for helping with the experimental work. This work was supported by the National Natural Science Foundation of China (Grant Nos. 11132002 and 11527801) and China Scholarship Council (CSC).

Supplementary material

10921_2019_643_MOESM1_ESM.docx (418 kb)
Supplementary material 1 (DOCX 419 kb)
10921_2019_643_MOESM2_ESM.docx (1.6 mb)
Supplementary material 2 (DOCX 1653 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Wolfson Centre for Magnetics, School of EngineeringCardiff UniversityCardiffUK
  2. 2.College of Mechanical Engineering and Applied Electronics TechnologyBeijing University of TechnologyBeijingPeople’s Republic of China

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