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Communication Dans Un Congrès Année : 2023

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

Résumé

This paper presents a topology optimization algorithm based on a Level-Set method and continuum sensitivity analysis in a 2D magnetostatic finite element context. The novelty is the use of a fully analytical expression for the sensitivity analysis based on the virtual work principle and applied to a Level-Set implementation. The numerical study of a switch reluctance machine and the virtual work method to compute the torque are presented. Then, the Level-Set method is detailed in a general context. The corresponding continuum sensitivity analysis using the adjoint method to maximize the torque is expressed. Finally, the application of this method to the optimization of the rotor of a switch reluctance machine is shown.
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Dates et versions

hal-04115539 , version 1 (02-06-2023)

Identifiants

  • HAL Id : hal-04115539 , version 1

Citer

Olivier Brun, Olivier Chadebec, Pauline Ferrouillat, Innocent Niyonzima, Z Luo, et al.. A Level-Set Based Topology Optimization for Maximizing the Torque of Switch Reluctance Machines. 24th International Conference on the Computation of Electromagnetic Fields (Compumag'2023)), May 2023, Kyoto, Japan. ⟨hal-04115539⟩
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