A 3D dynamic lumped parameter thermal network of air-cooled yasa axial flux permanent magnet synchronous machine

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Mohamed, Abdalla Hussein
dc.contributor.author Hemeida, Ahmed
dc.contributor.author Rashekh, Alireza
dc.contributor.author Vansompel, Hendrik
dc.contributor.author Arkkio, Antero
dc.contributor.author Sergeant, Peter
dc.date.accessioned 2018-05-22T14:38:44Z
dc.date.available 2018-05-22T14:38:44Z
dc.date.issued 2018-04-01
dc.identifier.citation Mohamed , A H , Hemeida , A , Rashekh , A , Vansompel , H , Arkkio , A & Sergeant , P 2018 , ' A 3D dynamic lumped parameter thermal network of air-cooled yasa axial flux permanent magnet synchronous machine ' Energies , vol 11 , no. 4 , 774 . DOI: 10.3390/en11040774 en
dc.identifier.issn 1996-1073
dc.identifier.other PURE UUID: 6bb5efc4-e354-4a9e-80d9-fdf1fb2f9dd6
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/a-3d-dynamic-lumped-parameter-thermal-network-of-aircooled-yasa-axial-flux-permanent-magnet-synchronous-machine(6bb5efc4-e354-4a9e-80d9-fdf1fb2f9dd6).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85045314625&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/19168843/Mohamed_etal_Energies_11_4_774.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/30964
dc.description.abstract To find the temperature rise for high power density yokeless and segmented armature (YASA) axial flux permanent magnet synchronous (AFPMSM) machines quickly and accurately, a 3D lumped parameter thermal model is developed and validated experimentally and by finite element (FE) simulations on a 4 kW YASA machine. Additionally, to get insight in the thermal transient response of the machine, the model accounts for the thermal capacitance of different machine components. The model considers the stator, bearing, and windage losses, as well as eddy current losses in the magnets on the rotors. The new contribution of this work is that the thermal model takes cooling via air channels between the magnets on the rotor discs into account. The model is parametrized with respect to the permanent magnet (PM) angle ratio, the PM thickness ratio, the air gap length, and the rotor speed. The effect of the channels is incorporated via convection equations based on many computational fluid dynamics (CFD) computations. The model accuracy is validated at different values of parameters by FE simulations in both transient and steady state. The model takes less than 1 s to solve for the temperature distribution. en
dc.format.extent 16
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Energies en
dc.relation.ispartofseries Volume 11, issue 4 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other Renewable Energy, Sustainability and the Environment en
dc.subject.other Energy Engineering and Power Technology en
dc.subject.other Energy (miscellaneous) en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.subject.other 214 Mechanical engineering en
dc.title A 3D dynamic lumped parameter thermal network of air-cooled yasa axial flux permanent magnet synchronous machine en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Ghent University
dc.contributor.department Department of Electrical Engineering and Automation
dc.subject.keyword AFPMSM
dc.subject.keyword Axial flux machines
dc.subject.keyword FEM
dc.subject.keyword LPTN
dc.subject.keyword Thermal model
dc.subject.keyword YASA
dc.subject.keyword Computer Science(all)
dc.subject.keyword Renewable Energy, Sustainability and the Environment
dc.subject.keyword Energy Engineering and Power Technology
dc.subject.keyword Energy (miscellaneous)
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.subject.keyword 214 Mechanical engineering
dc.identifier.urn URN:NBN:fi:aalto-201805222404
dc.identifier.doi 10.3390/en11040774
dc.type.version publishedVersion


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