Influence of Constructive Parameters on the Performance of an Axial-Flux Induction Machine with Solid and Magnetically Anisotropic Rotor

Carlos Madariaga, Juan Tapia, Nicolas Reyes, Werner Jara, Michele Degano

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This work aims to give an insight into the influence of relevant constructive parameters on the performance of an axial flux induction machines with magnetically anisotropic rotor (AR-AFIM). The torque-slip characteristic, efficiency, and power factor of several designs of a 72-slot 24-pole AR-AFIM are assessed by means of two 3-D finite element models: a reduced and a full model. The first one is used to speed evaluate performance indices performing a sweep of relevant constructive parameters, while the second is used for validation purposes. The conclusions obtained through both models were in good agreement. Specifically, it was found that variations of the rotor axial length, slot height, and airgap length have a significant effect on the performance of the machine, whilst slight deviations from the original iron/copper ratio of the anisotropic rotor do not have a significant impact on the machine performance.

Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4037-4044
Number of pages8
ISBN (Electronic)9781728151359
DOIs
StatePublished - 2021
Event13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada
Duration: 10 Oct 202114 Oct 2021

Publication series

Name2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/10/2114/10/21

Keywords

  • AFIM
  • constructive parameters
  • induction machine
  • magnetically anisotropic rotor
  • solid rotor.

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