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Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
Published on: November 7, 2017
Dynamic Magnetostatic Energy Correction Based on Domain Area Evolution for Mesoscopic Hysteresis Modeling
Mengxing Li1,2, Yao Ying1,2, Jing Yu1,2
1College of Materials Science and Engineering, Zhejiang University of Technology, Hangzhou 310014, China.
Materials (Basel, Switzerland)
|June 26, 2026
Summary
This study introduces a field-dependent coefficient to accurately model magnetostatic energy in electrical steel. This correction significantly improves simulated hysteresis loops, reducing errors in coercivity and remanence predictions.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Materials Science
Background:
- Mesoscopic domain energy models for electrical steel sheets commonly use a constant demagnetizing field.
- This approximation leads to overestimations of magnetostatic energy and distorted simulated hysteresis loops.
Purpose of the Study:
- To introduce a field-dependent coefficient (vH) to accurately scale magnetostatic energy at each magnetization field step.
- To improve the accuracy of mesoscopic domain energy models for electrical steel sheets.
Main Methods:
- A field-dependent coefficient (vH) was developed, calculated from aligned-domain area measurements using magneto-optical Kerr microscopy.
- The coefficient was anchored at the negative coercivity point (-Hc) where macroscopic magnetization vanishes.
- The correction was incorporated into an Assembly Domain Structure Model.
Main Results:
- The refined model significantly reduced coercivity error from 113% to 9-22% and remanence error from 39.9% to 15-17% for grain-oriented steel.
- Consistent vH curves were obtained from measurements in two observation zones, confirming method repeatability.
- The correction was also validated on a second grain-oriented steel grade, showing reduced errors (approx. 23% coercivity, 18% remanence).
Conclusions:
- The proposed field-dependent coefficient accurately accounts for magnetostatic energy variations during magnetization.
- This method enhances the predictive accuracy of mesoscopic models for electrical steel hysteresis loops.
- The technique is broadly applicable across different grades of grain-oriented electrical steel.
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