Correlating non-linear behavior of in-plane magnetic field and local domain wall velocities for quantitative stress evaluation

There is a need in industry to supply safe, effective and reliable technique to characterize the stress of steel components and structures, both at the manufacturing stage and in service. Bridging the correlation between micro and macro magnetic properties and the applied tensile stress is the first conceptual step to come up with a new method of non-destructive material testing. We investigate the stress-associated changes in domain wall dynamics in grain-oriented electrical steel by in-situ magnetic imaging using magneto-optical indicator films. The 180° domain walls velocity distribution is used as a parameter for applied stress determination. Additionally, the in-plane magnetic stray field above the surface of the sample is synchronously measured for stress evaluation. The variations in magnetic stray field outside the sample under different loading are investigated for the analysis of the domain wall dynamics. From this, an interrelation of the domain wall dynamics and magnetic stray fields with varied tensile stress is derived. The results provide substantial microscopic and macroscopic insight for the interplay of domain wall dynamics and stress-induced demagnetizing effect.There is a need in industry to supply safe, effective and reliable technique to characterize the stress of steel components and structures, both at the manufacturing stage and in service. Bridging the correlation between micro and macro magnetic properties and the applied tensile stress is the first conceptual step to come up with a new method of non-destructive material testing. We investigate the stress-associated changes in domain wall dynamics in grain-oriented electrical steel by in-situ magnetic imaging using magneto-optical indicator films. The 180° domain walls velocity distribution is used as a parameter for applied stress determination. Additionally, the in-plane magnetic stray field above the surface of the sample is synchronously measured for stress evaluation. The variations in magnetic stray field outside the sample under different loading are investigated for the analysis of the domain wall dynamics. From this, an interrelation of the domain wall dynamics and magnetic stray fields with vari...

[1]  M. Enokizono,et al.  Residual stress evaluation by Barkhausen signals with a magnetic field sensor for high efficiency electrical motors , 2018 .

[2]  Peter Cawley,et al.  Experimental studies of the magneto-mechanical memory (MMM) technique using permanently installed magnetic sensor arrays , 2017 .

[3]  Gui Yun Tian,et al.  Characterization of applied tensile stress using domain wall dynamic behavior of grain-oriented electrical steel , 2017 .

[4]  E. Hristoforou,et al.  Dependence of Magnetic Permeability on Residual Stresses in Welded Steels , 2017, IEEE Transactions on Magnetics.

[5]  C. Grünzweig,et al.  The influence of laser scribing on magnetic domain formation in grain oriented electrical steel visualized by directional neutron dark-field imaging , 2016, Scientific Reports.

[6]  G. Meunier,et al.  General integral formulation of magnetic flux computation and its application in inductive power transfer system , 2016, 2016 IEEE Conference on Electromagnetic Field Computation (CEFC).

[7]  C. Grünzweig,et al.  Magnetization Response of the Bulk and Supplementary Magnetic Domain Structure in High-Permeability Steel Laminations Visualized In Situ by Neutron Dark-Field Imaging , 2016 .

[8]  Zhenmao Chen,et al.  Quantitative analysis of the relationship between non-uniform stresses and residual magnetizations under geomagnetic fields , 2016 .

[9]  Bo Hu,et al.  Variations in surface residual compressive stress and magnetic induction intensity of 304 stainless steel , 2016 .

[10]  Eckhard Quandt,et al.  Advanced magneto-optical microscopy: Imaging from picoseconds to centimeters - imaging spin waves and temperature distributions (invited) , 2016 .

[11]  Heidemarie Schmidt,et al.  Dynamic Magneto‐Optical Imaging of Domains in Grain‐Oriented Electrical Steel , 2016 .

[12]  H. Herzog,et al.  Magnetic Properties of Electrical Steel Sheets in Respect of Cutting: Micromagnetic Analysis and Macromagnetic Modeling , 2016, IEEE Transactions on Magnetics.

[13]  V. Moorthy,et al.  Unique correlation between non-linear distortion of tangential magnetic field and magnetic excitation voltage – Unexplored ferromagnetic phenomena and their application for ferromagnetic materials evaluation , 2016 .

[14]  H. V. Swygenhoven,et al.  In-situ visualization of stress-dependent bulk magnetic domain formation by neutron grating interferometry , 2016 .

[15]  Jeffrey McCord,et al.  Progress in magnetic domain observation by advanced magneto-optical microscopy , 2015 .

[16]  O. Perevertov,et al.  Influence of applied tensile stress on the hysteresis curve and magnetic domain structure of grain-oriented Fe–3%Si steel , 2014 .

[17]  V. Moorthy Distortion analysis of magnetic excitation—a novel approach for the non-destructive microstructural evaluation of ferromagnetic steel , 2014 .

[18]  O. Perevertov,et al.  Influence of applied compressive stress on the hysteresis curves and magnetic domain structure of grain-oriented transverse Fe–3%Si steel , 2012 .

[19]  Philip Anderson,et al.  Influence of Cutting Techniques on Magnetostriction Under Stress of Grain Oriented Electrical Steel , 2012, IEEE Transactions on Magnetics.

[20]  Minqiang Xu,et al.  Modeling plastic deformation effect on magnetization in ferromagnetic materials , 2012 .

[21]  Haihong Huang,et al.  Effect of Temperature and Stress on Residual Magnetic Signals in Ferromagnetic Structural Steel , 2017, IEEE Transactions on Magnetics.