Conference Papers Year : 2024

Magneto-Mechanical Topology Optimization of a Synchronous Reluctance Motor

Abstract

This study applies topology optimization to the rotor design of a synchronous reluctance motor, integrating magneto-mechanical optimization to ensure mechanical robustness. A novel objective function based on the difference between magnetic energies in the d-q axes enhances the mean torque. The Solid Isotropic Material with Penalization (SIMP) method is used, discretizing the optimization domain and assigning a material density variable to each element. Magnetic topology optimization determines the optimal magnetic geometry, followed by mechanical topology optimization to minimize rotor compliance under rotational speed load. Two algorithms, Generalized Optimality Criteria (GOC) and Method of Moving Asymptotes (MMA), are employed. The results highlight the importance of considering mechanical aspects and the necessary compromise between magnetic and mechanical performances.

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Dates and versions

hal-05226832 , version 1 (27-08-2025)

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  • HAL Id : hal-05226832 , version 1

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Alessandro Silvestrini, Maya Hage-Hassan, Xavier Mininger, Guillaume Krebs, Philippe Dessante. Magneto-Mechanical Topology Optimization of a Synchronous Reluctance Motor. 36th SIA Powertrain Congress (Powertrain 2024), Jun 2024, Lille, France. ⟨hal-05226832⟩
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