Mixed-Order Finite-Element Modeling of Magnetic Material Degradation Due to Cutting

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Sundaria, Ravi
dc.contributor.author Lehikoinen, Antti
dc.contributor.author Hannukainen, Antti
dc.contributor.author Arkkio, Antero
dc.contributor.author Belahcen, Anouar
dc.date.accessioned 2018-08-01T12:37:14Z
dc.date.available 2018-08-01T12:37:14Z
dc.date.issued 2018
dc.identifier.citation Sundaria , R , Lehikoinen , A , Hannukainen , A , Arkkio , A & Belahcen , A 2018 , ' Mixed-Order Finite-Element Modeling of Magnetic Material Degradation Due to Cutting ' IEEE Transactions on Magnetics , vol 54 , no. 6 , 7402008 . DOI: 10.1109/TMAG.2018.2811385 en
dc.identifier.issn 0018-9464
dc.identifier.issn 1941-0069
dc.identifier.other PURE UUID: 02da792f-aa4b-449f-bbaf-10942c658952
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/mixedorder-finiteelement-modeling-of-magnetic-material-degradation-due-to-cutting(02da792f-aa4b-449f-bbaf-10942c658952).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85044296891&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/26046295/ELEC_Ravi_etal_IEEE_TraMag_2018.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/32657
dc.description | openaire: EC/FP7/339380/EU//ALEM
dc.description.abstract As a part of manufacturing of electrical machines, electrical sheets are cut to the desired shape by various cutting techniques, such as punching and laser cutting. This cutting process degrades the magnetic material near the cut edge, which should be included in the finite-element modeling of electrical machines. However, due to the nature of the cutting effects, the existing finite-element modeling of the cutting effect results in computationally heavy simulations. This paper investigates the application of mixed-order elements to model the cutting effect. The second-order nodal triangular elements are used near the cut edge, whereas transition/first-order elements are applied in the remaining solution domain. Furthermore, the accuracy of the presented method is analyzed with the traditional method. According to the simulations, the mixed-order elements returned accurate results significantly faster than the traditional finite-element-based approaches. Furthermore, the effect of the cutting on the machine performance is also studied by comparing its results briefly. en
dc.format.extent 8
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation info:eu-repo/grantAgreement/EC/FP7/339380/EU//ALEM
dc.relation.ispartofseries IEEE Transactions on Magnetics en
dc.relation.ispartofseries Volume 54, issue 6 en
dc.rights openAccess en
dc.subject.other Electronic, Optical and Magnetic Materials en
dc.subject.other Electrical and Electronic Engineering en
dc.subject.other 214 Mechanical engineering en
dc.subject.other 113 Computer and information sciences en
dc.title Mixed-Order Finite-Element Modeling of Magnetic Material Degradation Due to Cutting en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Electrical Engineering and Automation
dc.contributor.department Department of Mathematics and Systems Analysis
dc.subject.keyword Computational modeling
dc.subject.keyword Core loss
dc.subject.keyword cut edge
dc.subject.keyword cutting
dc.subject.keyword Degradation
dc.subject.keyword electrical machines
dc.subject.keyword finite-element modeling
dc.subject.keyword Magnetic cores
dc.subject.keyword Magnetic materials
dc.subject.keyword Mathematical model
dc.subject.keyword mixed-order elements
dc.subject.keyword punching
dc.subject.keyword Saturation magnetization
dc.subject.keyword Shape
dc.subject.keyword steel laminations
dc.subject.keyword Electronic, Optical and Magnetic Materials
dc.subject.keyword Electrical and Electronic Engineering
dc.subject.keyword 214 Mechanical engineering
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201808014057
dc.identifier.doi 10.1109/TMAG.2018.2811385
dc.type.version acceptedVersion

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