Noguchi, So and Naoe, Takuto and Igarashi, Hajime and Matsumoto, Shinya and Cingoski, Vlatko and Ahagon, Akira and Kameari, Akihisa (2017) A New Adaptive Mesh Refinement Method in FEA Based on Magnetic Field Conservation at Elements Interfaces and Non- conforming Mesh Refinement Technique. IEEE Transactrion on Magnetics, 53 (6). ISSN 0018-9464
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Abstract
Mesh quality strongly affects the solution accuracy in electromagnetic finite element analysis. Hence, the realization of adequate mesh generation becomes a very important task. Several adaptive meshing methods for automatic adjustments of the mesh density in accordance with the shape and complexity of the analyzed problem, have been proposed. However, the most of them are not enough robust, some are quite laborious and could not be universally used for adaptive meshing of complex analysis models.
In this paper, a new adaptive mesh refinement method based on magnetic field conservation at the border between finite elements is proposed. The proposed error estimation method provides easy mesh refinements, generates smaller element within regions with large curvature of the magnetic flux lines. The proposed adaptive mesh refinement method based on non-conforming edge finite elements, which could avoid generation of flat- or ill-shaped elements, was applied to a simple magnetostatic permanent magnet model. To confirm the validity and accuracy, the obtained results were compared with those obtained by means of the Zienkiewich-Zhu (ZZ)
error estimator. The results show that the computational error using the proposed method was reduced down to 1.0% compared with that of the ZZ method which yields error of 8.6%, for the same model.
| Item Type: | Article |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences Engineering and Technology > Electrical engineering, electronic engineering, information engineering Engineering and Technology > Other engineering and technologies |
| Divisions: | Faculty of Electrical Engineering |
| Depositing User: | Vlatko Cingoski |
| Date Deposited: | 12 Jun 2017 09:30 |
| Last Modified: | 12 Jun 2017 09:30 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/17870 |
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