A Level-Set Based Topology Optimization for Maximizing the Torque of Synchronous Reluctance Machines - HAL Accéder directement au contenu
Article dans une revue IEEE Transactions on Magnetics Année : 2024

A Level-Set Based Topology Optimization for Maximizing the Torque of Synchronous Reluctance Machines

Résumé

The paper presents a Level-Set based topology optimization method for improving the magnetic torque of electrical motors such as synchronous reluctance machines using a 2D magnetostatic finite element context modelling. The novelty is the use of a fully analytical expression for the torque sensitivity analysis based on the virtual work principle which is more accurate and general than other methods, and its application to a Level-Set implementation. The numerical study of a synchronous reluctance machine is presented. Then, the Level-Set method is detailed in a general context. The corresponding analytical continuous sensitivity analysis using the adjoint method to maximize the torque is expressed and validated. Finally, the application to the optimization of the rotor of a synchronous reluctance machine is shown to illustrate the efficiency of the method.
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Dates et versions

hal-04252311, version 1 (20-10-2023)

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Olivier Brun, Olivier Chadebec, Pauline Ferrouillat, Innocent Niyonzima, Z. Luo, et al.. A Level-Set Based Topology Optimization for Maximizing the Torque of Synchronous Reluctance Machines. IEEE Transactions on Magnetics, 2024, 60 (3), ⟨10.1109/TMAG.2023.3326878⟩. ⟨hal-04252311⟩
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