Global Quantities Computation Using Mesh-Based Generated Reluctance Networks
This aim of this paper is to assess the efficacy of mesh-based generated reluctance network (MGRN) modeling for the performance evaluation of a permanent magnet linear machine under load conditions. In the previous publications related to the use of this modeling technique, only approach implementat...
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Veröffentlicht in: | IEEE transactions on magnetics 2018-11, Vol.54 (11), p.1-4 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This aim of this paper is to assess the efficacy of mesh-based generated reluctance network (MGRN) modeling for the performance evaluation of a permanent magnet linear machine under load conditions. In the previous publications related to the use of this modeling technique, only approach implementation under an open-circuit performance has been assessed. The MGRN approach is based on the discretization of the geometry using elementary reluctance blocks (reluctance elements). This modeling technique has been implemented in a software tool that allows the automated processing of an arbitrary geometry providing a gain in model development durations. Validation of the MGRN model has been realized by comparison with a finite element analysis (FEA). Comparisons showed that both local and global quantities evaluated by MGRN and FEA are in excellent agreement. |
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ISSN: | 0018-9464 1941-0069 |
DOI: | 10.1109/TMAG.2018.2829155 |