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Global Quantities Computation Using Mesh-Based Generated Reluctance Networks.

Authors :
Asfirane, S.
Hlioui, S.
Amara, Y.
Barriere, O. De La
Barakat, G.
Gabsi, M.
Source :
IEEE Transactions on Magnetics. Nov2018, Vol. 54 Issue 11, p1-4. 4p.
Publication Year :
2018

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189464
Volume :
54
Issue :
11
Database :
Academic Search Index
Journal :
IEEE Transactions on Magnetics
Publication Type :
Academic Journal
Accession number :
132478488
Full Text :
https://doi.org/10.1109/TMAG.2018.2829155