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Please note that all times are shown in the time zone of the conference. The current conference time is: 1st June 2024, 10:31:58am CEST
Topology and parameter optimization of IPM motors can be used to design motor shapes. In this paper, an IPM motor with high torque and high mechanical strength is designed by incorporating stress and connection constraints in addition to electromagnetic field analysis. The multi-objective topology optimization was performed, and feasible Pareto solutions were obtained.
Maya Hage Hassan, Guillaume Krebs, Xavier Mininger, Laurent Daniel
CentraleSupélec, Group of Electrical and ELectronic engineering, Paris, France
The present paper proposes a methodology based on topology optimization to design a synchro-reluctant motor considering magneto-elastic coupling. Stress on the rotor related to inertia forces and press-fitting effect on the stator are considered. The magneto-mechanical coupling is taken into account using a simplified magneto-elastic analytical model for the material behavior law. The objective is to maximize the machine's torque while considering an equality constraint on the volume. The topology optimization approach is based on a discrete BESO algorithm.
Multimaterial Filtering applied to Topology Optimization of a Permanent Magnet Synchronous Machine
Théodore Cherrière1, Sami Hlioui2, François Louf3, Luc Laurent4,5
1Université Paris-Saclay, ENS Paris-Saclay, CNRS, SATIE; 2Université Paris-Saclay, CY Cergy Paris Université, CNRS, SATIE; 3Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS; 4Conservatoire national des arts et métiers, LMSSC; 5HESAM Université
This paper proposes a generalized multi-material filtering formalism in density-based topology optimization. This work’s novelty is the consideration of the periodic and anti-periodic boundary conditions commonly used to simulate electrical machines, which change the nature of the materials located outside the simulation zone. It affects the filtering, which relies on a convolutive averaging of the materials’ properties near the boundaries. The implementation is detailed and applied to the topology optimization of a permanent magnet machine rotor.
10:10am - 10:30am ID: 127 / Special Session 2-1: 4 Abstract submission for on-site presentation Topics: Topology optimization, Application Keywords: Optimal Control, Electrical Machines, Robust Optimization, IGA
Robust Design Optimization of Electrical Machines with IGA
Theodor Komann, Stefan Ulbrich
TU Darmstadt, Germany
We investigate a PDE constrained design optimization problem with an uncertain parameter. By utilizing a robust worst case formulation we obtain an optimization problem of bi-level structure. To obtain tractability we approximate the worst case function with a linear Taylor expansion. Numerical results are presented for validation.
