Magnetic shielding dynamic demagnetization simulation analysis method, optimization method and medium
By constructing a three-dimensional finite element model and applying a geomagnetic bias field and periodic decay excitation, and employing a multi-period step iteration and transient separation solution strategy, the magnetization intensity is decomposed into reversible and irreversible components. This solves the accuracy and efficiency problems of simulation analysis of magnetic shielding devices in existing technologies, and achieves efficient global quantitative evaluation and accurate prediction of residual magnetic field.
Patent Information
- Application Number
- CN202610922606.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-25
- Publication Date
- 2026-07-24
AI Technical Summary
Existing simulation analysis methods for magnetic shielding devices cannot accurately reflect the effects of geomagnetic bias, cannot reproduce multi-period relaxation processes, and lack full-domain quantitative evaluation capabilities, resulting in significant deviations between modeling analysis results and actual operating conditions, as well as low computational efficiency.
A three-dimensional finite element model was constructed, and a geomagnetic bias field and periodic decay excitation were applied. A multi-period step iteration and transient separation solution strategy was adopted to decompose the magnetization intensity into reversible and irreversible components. The dynamic evolution process of the magnetic shielding material was solved through a dynamic magnetization model and magnetic domain relaxation mechanism, and the residual magnetization and residual magnetic field distribution were calculated.
It enables the realistic reproduction of the demagnetization process under geomagnetic conditions, improves the prediction accuracy and efficiency of simulation analysis, provides full-domain quantitative assessment, and enhances the prediction accuracy and computational stability of residual magnetic fields.