On the Use of Topology Optimization for Synchronous Reluctance Machines Design

Oğuz Korman, Mauro Di Nardo, Michele Degano, Chris Gerada

Research output: Journal PublicationArticlepeer-review

Abstract

Synchronous reluctance (SynRel) machines are considered one of the promising and cost-effective solutions to many industrial and mobility applications. Nonetheless, achieving an optimal design is challenging due to the complex correlation between geometry and magnetic characteristics. In order to expand the limits formed by template-based geometries, this work approaches the problem by using topology optimization (TO) through the density method (DM). Optimization settings and their effects on results, both in terms of performance and computation time, are studied extensively by performing optimizations on the rotor of a benchmark SynRel machine. In addition, DM-based TO is applied to an existing rotor geometry to assess its use and performance as a design refinement tool. The findings are presented, highlighting several insights into how to apply TO to SynRel machine design and its limitations, boundaries for performance improvements and related computational cost.

Original languageEnglish
Article number3719
JournalEnergies
Volume15
Issue number10
DOIs
Publication statusPublished - 1 May 2022

Keywords

  • density method
  • synchronous reluctance machine
  • topology optimization

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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