Noninvasive Anisotropic Identification of Magnetic Properties in Toroidal Shaped Magnetic Steel
Abstract
This research proposes a model-free inverse approach for identifying the nonlinear anisotropic single-valued magnetic constitutive characteristics of soft magnetic materials from boundary measurements. Using the harmonic approximation, the internal magnetic flux density B and magnetic field strength H are independently reconstructed from the measured boundary data, thus avoiding the limitation of using a predefined parametric B--H mapping function. Subsequently, the reconstructed fields are spatially averaged along selected collection lines to recover the B--H characteristics of the principal directions. Numerical results demonstrate high reconstruction accuracy for unperturbed data and good robustness against Gaussian perturbations of the boundary measurements, with the overall mean error remaining below 5% for a 10% noise level. These results indicate that under the harmonic-field assumptions, the field-based reconstruction provides a simple and computationally efficient framework for non-invasive identification of nonlinear anisotropic magnetic constitutive characteristics.
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BibTeX
@misc{qin2026noninvasive,
title = {{Noninvasive Anisotropic Identification of Magnetic Properties in Toroidal Shaped Magnetic Steel}},
author = {Xusen Qin and Reza Zeinali and Mitrofan Curti},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.07476},
eprint = {2609.07476},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.07476},
}
RIS
TY - UNPB
TI - Noninvasive Anisotropic Identification of Magnetic Properties in Toroidal Shaped Magnetic Steel
AU - Xusen Qin
AU - Reza Zeinali
AU - Mitrofan Curti
PY - 2026
DA - 2026/09/22
PB - arXiv
DO - 10.48550/arxiv.2609.07476
UR - https://arxiv.org/abs/2609.07476
AB - This research proposes a model-free inverse approach for identifying the nonlinear anisotropic single-valued magnetic constitutive characteristics of soft magnetic materials from boundary measurements. Using the harmonic approximation, the internal magnetic flux density B and magnetic field strength H are independently reconstructed from the measured boundary data, thus avoiding the limitation of using a predefined parametric B--H mapping function. Subsequently, the reconstructed fields are spatially averaged along selected collection lines to recover the B--H characteristics of the principal directions. Numerical results demonstrate high reconstruction accuracy for unperturbed data and good robustness against Gaussian perturbations of the boundary measurements, with the overall mean error remaining below 5% for a 10% noise level. These results indicate that under the harmonic-field assumptions, the field-based reconstruction provides a simple and computationally efficient framework for non-invasive identification of nonlinear anisotropic magnetic constitutive characteristics.
ER -