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Communication Dans Un Congrès Année : 2023

Multi-Material BESO Topology Optimization for SynRM based on printed FeSi6.5%

Résumé

This paper presents a design methodology for electric machines (EM). It is based on discrete multi-material topology optimization (TO) and printed material characteristics. Our methodology uses the Bi-directional Evolutionary Structural Optimization (BESO) heuristic for optimization, and to maximize EM torque, we propose a reformulated problem to accelerate simulation time. It permits considering both ferromagnetic materials and permanent magnets with discrete variables. Printed material characteristics are taken into account, considering several process parameters. A comparison of the final designs for different BH curves is presented.
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Dates et versions

hal-04246986 , version 1 (17-10-2023)

Identifiants

  • HAL Id : hal-04246986 , version 1

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Maya Hage-Hassan, Meher Zaied, Alessandro Silvestrini, Alejandro Ospina, Nour-Eddine Fenineche, et al.. Multi-Material BESO Topology Optimization for SynRM based on printed FeSi6.5%. COMPUMAG 2023, the 24th International Conference on the Computation of Electromagnetic Fields, May 2023, Kyoto (Japan), Japan. ⟨hal-04246986⟩
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