Design Consideration to Improve Torque in Axial Flux PM Vernier Machine
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 권병일 | - |
dc.date.accessioned | 2021-06-22T22:25:00Z | - |
dc.date.available | 2021-06-22T22:25:00Z | - |
dc.date.created | 2021-02-18 | - |
dc.date.issued | 2014-10 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/21580 | - |
dc.description.abstract | This paper presents the component design for electromagnetic torque improvement in an axial-flux permanent magnet vernier machine with the dual-stator single-rotor and spoke-type magnet topology, considering the various design factors such as the stator slot width, winding method, rotor structure as well as the rotor overhang effect. 3D finite-element method (FEM) is applied to evaluate the influence of each design factor on the electromagnetic torque. Each comparison has been built based on the same design parameters except the considered item. Based on all the comparisons, a final combination of design factors has been obtained for the relative attractive torque performance in the proposed machine. | - |
dc.publisher | 대한전기학회 | - |
dc.title | Design Consideration to Improve Torque in Axial Flux PM Vernier Machine | - |
dc.title.alternative | 토크 향상을 위한 축방향 자속 영구자석 버니어 머신 설계 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 권병일 | - |
dc.identifier.bibliographicCitation | 2014년도 대한전기학회 전기기기 및 에너지변환시스템부문회 춘계학술대회 논문집, pp.1 - 3 | - |
dc.relation.isPartOf | 2014년도 대한전기학회 전기기기 및 에너지변환시스템부문회 춘계학술대회 논문집 | - |
dc.citation.title | 2014년도 대한전기학회 전기기기 및 에너지변환시스템부문회 춘계학술대회 논문집 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 3 | - |
dc.type.rims | ART | - |
dc.description.journalClass | 3 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.