2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function
This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was max...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on magnetics 2022-09, Vol.58 (9), p.1-4 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4 |
---|---|
container_issue | 9 |
container_start_page | 1 |
container_title | IEEE transactions on magnetics |
container_volume | 58 |
creator | Otomo, Yoshitsugu Igarashi, Hajime Sato, Tomohiro Suetsugu, Yoshihisa Fujioka, Eiji |
description | This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was maximized, while the torque ripple was suppressed to the maximum possible extent. The proposed topology optimization could determine the rotor core and magnet shapes, as well as the magnetization direction. It was shown that the optimized 2.5-D topology optimization led to better torque performance when compared to conventional 2-D optimizations. |
doi_str_mv | 10.1109/TMAG.2022.3171558 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9766057</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9766057</ieee_id><sourcerecordid>2706894046</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-45270e06591543722ae9ddfadcc29dcb8e71d635b15602b2acba2331a218baed3</originalsourceid><addsrcrecordid>eNo9kM9rwjAYhsPYYM7tDxi7BHZuly9N0ubofugGih70HNI2dRFNuqQ9uL9-FWWnlw_e5_3gQegRSApA5Mt6MZmllFCaZpAD58UVGoFkkBAi5DUaEQJFIplgt-guxt1wMg5khBRNefKOF_2-s8nqW0eD1771e7894mXb2YP91Z31DvsGr0w4aGdchxd668wQvvMBb6J1WzzTfYxWO_yqo4142rvqxN2jm0bvo3m45Bhtph_rt89kvpx9vU3mScUI7RLGaU4MEVwCZ1lOqTayrhtdVxWVdVUWJodaZLwELggtqa5KTbMMNIWi1KbOxuj5vNsG_9Ob2Kmd74MbXqphWRSSESaGFpxbVfAxBtOoNtiDDkcFRJ08qpNHdfKoLh4H5unMWGPMf1_mQhCeZ39To24b</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2706894046</pqid></control><display><type>article</type><title>2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function</title><source>IEEE Electronic Library (IEL)</source><creator>Otomo, Yoshitsugu ; Igarashi, Hajime ; Sato, Tomohiro ; Suetsugu, Yoshihisa ; Fujioka, Eiji</creator><creatorcontrib>Otomo, Yoshitsugu ; Igarashi, Hajime ; Sato, Tomohiro ; Suetsugu, Yoshihisa ; Fujioka, Eiji</creatorcontrib><description>This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was maximized, while the torque ripple was suppressed to the maximum possible extent. The proposed topology optimization could determine the rotor core and magnet shapes, as well as the magnetization direction. It was shown that the optimized 2.5-D topology optimization led to better torque performance when compared to conventional 2-D optimizations.</description><identifier>ISSN: 0018-9464</identifier><identifier>EISSN: 1941-0069</identifier><identifier>DOI: 10.1109/TMAG.2022.3171558</identifier><identifier>CODEN: IEMGAQ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Basis functions ; Magnetism ; Magnetization ; multi-phase topology optimization ; Multiphase ; Normalized Gaussian net (NGnet) ; Optimization ; permanent magnet (PM) motor ; Permanent magnet motors ; Permanent magnets ; Rotors ; Shape ; Shape optimization ; Topology ; Topology optimization ; Torque</subject><ispartof>IEEE transactions on magnetics, 2022-09, Vol.58 (9), p.1-4</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-45270e06591543722ae9ddfadcc29dcb8e71d635b15602b2acba2331a218baed3</citedby><cites>FETCH-LOGICAL-c402t-45270e06591543722ae9ddfadcc29dcb8e71d635b15602b2acba2331a218baed3</cites><orcidid>0000-0002-2605-7908 ; 0000-0002-0852-3231</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9766057$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9766057$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Otomo, Yoshitsugu</creatorcontrib><creatorcontrib>Igarashi, Hajime</creatorcontrib><creatorcontrib>Sato, Tomohiro</creatorcontrib><creatorcontrib>Suetsugu, Yoshihisa</creatorcontrib><creatorcontrib>Fujioka, Eiji</creatorcontrib><title>2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function</title><title>IEEE transactions on magnetics</title><addtitle>TMAG</addtitle><description>This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was maximized, while the torque ripple was suppressed to the maximum possible extent. The proposed topology optimization could determine the rotor core and magnet shapes, as well as the magnetization direction. It was shown that the optimized 2.5-D topology optimization led to better torque performance when compared to conventional 2-D optimizations.</description><subject>Basis functions</subject><subject>Magnetism</subject><subject>Magnetization</subject><subject>multi-phase topology optimization</subject><subject>Multiphase</subject><subject>Normalized Gaussian net (NGnet)</subject><subject>Optimization</subject><subject>permanent magnet (PM) motor</subject><subject>Permanent magnet motors</subject><subject>Permanent magnets</subject><subject>Rotors</subject><subject>Shape</subject><subject>Shape optimization</subject><subject>Topology</subject><subject>Topology optimization</subject><subject>Torque</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM9rwjAYhsPYYM7tDxi7BHZuly9N0ubofugGih70HNI2dRFNuqQ9uL9-FWWnlw_e5_3gQegRSApA5Mt6MZmllFCaZpAD58UVGoFkkBAi5DUaEQJFIplgt-guxt1wMg5khBRNefKOF_2-s8nqW0eD1771e7894mXb2YP91Z31DvsGr0w4aGdchxd668wQvvMBb6J1WzzTfYxWO_yqo4142rvqxN2jm0bvo3m45Bhtph_rt89kvpx9vU3mScUI7RLGaU4MEVwCZ1lOqTayrhtdVxWVdVUWJodaZLwELggtqa5KTbMMNIWi1KbOxuj5vNsG_9Ob2Kmd74MbXqphWRSSESaGFpxbVfAxBtOoNtiDDkcFRJ08qpNHdfKoLh4H5unMWGPMf1_mQhCeZ39To24b</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Otomo, Yoshitsugu</creator><creator>Igarashi, Hajime</creator><creator>Sato, Tomohiro</creator><creator>Suetsugu, Yoshihisa</creator><creator>Fujioka, Eiji</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-2605-7908</orcidid><orcidid>https://orcid.org/0000-0002-0852-3231</orcidid></search><sort><creationdate>20220901</creationdate><title>2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function</title><author>Otomo, Yoshitsugu ; Igarashi, Hajime ; Sato, Tomohiro ; Suetsugu, Yoshihisa ; Fujioka, Eiji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-45270e06591543722ae9ddfadcc29dcb8e71d635b15602b2acba2331a218baed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Basis functions</topic><topic>Magnetism</topic><topic>Magnetization</topic><topic>multi-phase topology optimization</topic><topic>Multiphase</topic><topic>Normalized Gaussian net (NGnet)</topic><topic>Optimization</topic><topic>permanent magnet (PM) motor</topic><topic>Permanent magnet motors</topic><topic>Permanent magnets</topic><topic>Rotors</topic><topic>Shape</topic><topic>Shape optimization</topic><topic>Topology</topic><topic>Topology optimization</topic><topic>Torque</topic><toplevel>online_resources</toplevel><creatorcontrib>Otomo, Yoshitsugu</creatorcontrib><creatorcontrib>Igarashi, Hajime</creatorcontrib><creatorcontrib>Sato, Tomohiro</creatorcontrib><creatorcontrib>Suetsugu, Yoshihisa</creatorcontrib><creatorcontrib>Fujioka, Eiji</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on magnetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Otomo, Yoshitsugu</au><au>Igarashi, Hajime</au><au>Sato, Tomohiro</au><au>Suetsugu, Yoshihisa</au><au>Fujioka, Eiji</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function</atitle><jtitle>IEEE transactions on magnetics</jtitle><stitle>TMAG</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>58</volume><issue>9</issue><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>0018-9464</issn><eissn>1941-0069</eissn><coden>IEMGAQ</coden><abstract>This article proposes a novel 2.5-D multi-phase topology optimization method using a Gaussian basis function for permanent magnet motors. The design region in the rotor was sliced into cylindrical layers; the 2-D topology optimization was performed for each layer such that the average torque was maximized, while the torque ripple was suppressed to the maximum possible extent. The proposed topology optimization could determine the rotor core and magnet shapes, as well as the magnetization direction. It was shown that the optimized 2.5-D topology optimization led to better torque performance when compared to conventional 2-D optimizations.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TMAG.2022.3171558</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-2605-7908</orcidid><orcidid>https://orcid.org/0000-0002-0852-3231</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0018-9464 |
ispartof | IEEE transactions on magnetics, 2022-09, Vol.58 (9), p.1-4 |
issn | 0018-9464 1941-0069 |
language | eng |
recordid | cdi_ieee_primary_9766057 |
source | IEEE Electronic Library (IEL) |
subjects | Basis functions Magnetism Magnetization multi-phase topology optimization Multiphase Normalized Gaussian net (NGnet) Optimization permanent magnet (PM) motor Permanent magnet motors Permanent magnets Rotors Shape Shape optimization Topology Topology optimization Torque |
title | 2.5-D Multi-Phase Topology Optimization of Permanent Magnet Motor Using Gaussian Basis Function |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T12%3A24%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=2.5-D%20Multi-Phase%20Topology%20Optimization%20of%20Permanent%20Magnet%20Motor%20Using%20Gaussian%20Basis%20Function&rft.jtitle=IEEE%20transactions%20on%20magnetics&rft.au=Otomo,%20Yoshitsugu&rft.date=2022-09-01&rft.volume=58&rft.issue=9&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.issn=0018-9464&rft.eissn=1941-0069&rft.coden=IEMGAQ&rft_id=info:doi/10.1109/TMAG.2022.3171558&rft_dat=%3Cproquest_RIE%3E2706894046%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2706894046&rft_id=info:pmid/&rft_ieee_id=9766057&rfr_iscdi=true |