Design for Reliability: The Case of Fractional-Slot Surface Permanent-Magnet Machines

Ambra Torreggiani, Claudio Bianchini, Matteo Davoli and Alberto Bellini
Additional contact information
Ambra Torreggiani: DISMI, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy
Claudio Bianchini: DIEF, University of Modena and Reggio Emilia, 41125 Modena, Italy
Matteo Davoli: Raw Power S.r.l., 42122 Reggio Emilia, Italy
Alberto Bellini: DEI, University of Bologna, 47521 Cesena, Italy

Energies, 2019, vol. 12, issue 9, 1-18

Abstract: Surface permanent-magnet machines are widely used in different applications, from industrial automation to home appliance and electrical traction. Among any possible machine topology, the fractional-slot surface permanent-magnet one has gained increasing importance, because of its high torque density, low cogging torque, extended flux weakening capability and high efficiency. In addition, fractional-slot machines are attractive for tooth concentrated windings, which allow some optimized manufacturing solutions such as modular stator tooth and high slot filling factor, which result in copper volume reduction; cost reduction, and lower stator parasitic resistances. The slot–pole combination is one of the most important design parameter and, as shown in this paper, it affects performances and the robustness of the machine with respect to the manufacturing imperfections. In the literature, slot–pole combinations are optimized at design phase by finite-element analysis relying on a healthy machine model. The original contribution of this paper is a design for reliability method that models manufacturing defects and includes them at design phase in the optimization process of slot–pole combinations. A method is presented that allows defining the optimal design parameters for maximum performances and robustness towards unavoidable imperfections caused by tolerances of the manufacturing process.

Keywords: surface permanent-magnet machine; slot–pole combination; fractional-slot; manufacturing faults (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: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/9/1691/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/9/1691/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:9:p:1691-:d:228306

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().