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Topology optimization of non-linear electromagnetic actuator based on Reluctance Network Analysis

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Title: Topology optimization of non-linear electromagnetic actuator based on Reluctance Network Analysis
Authors: Yin, Ming, Bracikowski, Nicolas, Naidjate, Mohammed, Pierquin, Antoine, Trichet, Didier
Contributors: Institut de Recherche en Energie Electrique de Nantes Atlantique UR 4642 (IREENA), Institut Universitaire de Technologie - La Roche-sur-Yon (Nantes Univ - IUT La Roche-sur-Yon), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - Institut Universitaire de Technologie Saint-Nazaire (Nantes Univ - IUT Saint-Nazaire), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - Ecole Polytechnique de l'Université de Nantes (Nantes Univ - EPUN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ), Nantes Université (Nantes Univ)
Source: ISSN: 0304-8853.
Publisher Information: CCSD
Elsevier
Publication Year: 2024
Collection: Université de Nantes: HAL-UNIV-NANTES
Subject Terms: Topology optimization electromagnetic actuator reluctance network analysis adjoint variable method, Topology optimization, electromagnetic actuator, reluctance network analysis, adjoint variable method, [SPI]Engineering Sciences [physics]
Description: International audience ; Topology Optimization (TO) enables unrestricted exploration within a design domain and is typically based on a spatial discretization that is also used as the mesh for simulation. In this article, we propose to use for the simulation a mesh-based equivalent circuit method termed the Reluctance Network Analysis (RNA), with nonlinear magnetic properties of the material. The simulation tool is then used in a topology optimization process solved with generalized optimality criteria (GOC) method. During the optimization, the sensitivity matrix is needed, and we describe here how to derive the matrix in the case of a nonlinear RNA using Adjoint Variable Method (AVM). Finally, we implemented this topology optimization through a case study of an electromagnetic actuator.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1016/j.jmmm.2024.172174
Availability: https://hal.science/hal-04650053
https://hal.science/hal-04650053v1/document
https://hal.science/hal-04650053v1/file/mingYin2024magmaFinalLight.pdf
https://doi.org/10.1016/j.jmmm.2024.172174
Rights: http://creativecommons.org/licenses/by-nc-nd/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.8D93DBE8
Database: BASE
Description
Abstract:International audience ; Topology Optimization (TO) enables unrestricted exploration within a design domain and is typically based on a spatial discretization that is also used as the mesh for simulation. In this article, we propose to use for the simulation a mesh-based equivalent circuit method termed the Reluctance Network Analysis (RNA), with nonlinear magnetic properties of the material. The simulation tool is then used in a topology optimization process solved with generalized optimality criteria (GOC) method. During the optimization, the sensitivity matrix is needed, and we describe here how to derive the matrix in the case of a nonlinear RNA using Adjoint Variable Method (AVM). Finally, we implemented this topology optimization through a case study of an electromagnetic actuator.
DOI:10.1016/j.jmmm.2024.172174