On the Use of Topology Optimization for Synchronous Reluctance Machines Design

Oğuz Korman, Mauro Di Nardo, Michele Degano and Chris Gerada
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Oğuz Korman: Power Electronics, Machines and Control (PEMC) Research Group, University of Nottingham, Nottingham NG7 2RD, UK
Mauro Di Nardo: Power Electronics, Machines and Control (PEMC) Research Group, University of Nottingham, Nottingham NG7 2RD, UK
Michele Degano: Power Electronics, Machines and Control (PEMC) Research Group, University of Nottingham, Nottingham NG7 2RD, UK
Chris Gerada: Power Electronics, Machines and Control (PEMC) Research Group, University of Nottingham, Nottingham NG7 2RD, UK

Energies, 2022, vol. 15, issue 10, 1-13

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.

Keywords: synchronous reluctance machine; topology optimization; density method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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