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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Benabou, Abdelkader
University of Lille
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Load cell based on binocular test body and SAW strain sensor with a Radio-Frequency Reflectometry Read-Out System.
- 2022The Influence of Microstructure on the Electromagnetic Behavior of Carbon Steel Wirescitations
- 2021Additive manufacturing for soft magnetic materialscitations
- 2021Influence of laser powder bed fusion process conditions and resulting microstructures on the electromagnetic properties of a 16MnCr5 steelcitations
- 2020Analysis of the Magneto-Mechanical Anisotropy of Steel Sheets in Electrical Applicationscitations
- 2018Characterization of massive magnetic parts with a dedicated devicecitations
- 2015Characterization of the local Electrical Properties of Electrical Machine Parts with non-Trivial Geometrycitations
- 2013Stochastic Jiles-Atherton model accounting for soft magnetic material properties variabilitycitations
- 2012Non Linear Proper Generalized Decomposition method applied to the magnetic simulation of a SMC microstructurecitations
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document
Non Linear Proper Generalized Decomposition method applied to the magnetic simulation of a SMC microstructure
Abstract
Improvement of the magnetic performances of Soft Magnetic Composites (SMC) materials requires to link the microstructures to the macroscopic magnetic behavior law. This can be achieved with the FE method using the geometry reconstruction from images of the microstructure. Nevertheless, it can lead to large computational times. In that context, the Proper Generalized Decomposition (PGD), that is an approximation method originally developed in mechanics, and based on a finite sum of separable functions, can be of interest in our case. In this work, we propose to apply the PGD method to the SMC microstructure magnetic simulation. A non-linear magnetostatic problem with the scalar potential formulation is then solved.