Review of the analytical flow model to predict the hydraulic behaviour in electrical machine

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorGhahfarokhi, Payam Shamsen_US
dc.contributor.authorKallaste, Antsen_US
dc.contributor.authorVaimann, Toomasen_US
dc.contributor.authorBelahcen, Anouaren_US
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.groupauthorComputational Electromechanicsen
dc.contributor.organizationTallinn University of Technologyen_US
dc.date.accessioned2020-02-12T10:48:35Z
dc.date.available2020-02-12T10:48:35Z
dc.date.issued2019-06-01en_US
dc.description.abstractThis paper considers the analytical flow analysis for the through-flow ventilated electrical machine to predict the airflow rate in the different sections of the machine. This method can be applied to other types of air forced cooling electrical machine. For these purposes, the airflow paths are modeled by flow resistance network. The developing of the flow resistance network and calculating the flow resistances are described in details.en
dc.description.versionPeer revieweden
dc.format.extent4
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationGhahfarokhi, P S, Kallaste, A, Vaimann, T & Belahcen, A 2019, Review of the analytical flow model to predict the hydraulic behaviour in electrical machine . in Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019 ., 8818271, IEEE, Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, Kärdla, Estonia, 12/06/2019 . https://doi.org/10.1109/PQ.2019.8818271en
dc.identifier.doi10.1109/PQ.2019.8818271en_US
dc.identifier.isbn9781728126500
dc.identifier.otherPURE UUID: 6805ee62-7643-4ffd-b9f7-780d9beaa072en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/6805ee62-7643-4ffd-b9f7-780d9beaa072en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85072777431&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/40930347/ELEC_Ghahfarokhi_etal_Review_of_the_Analytical_PQ_SEEM_2019_authoracceptedmanuscript.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/43081
dc.identifier.urnURN:NBN:fi:aalto-202002122150
dc.language.isoenen
dc.relation.ispartofElectric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronicsen
dc.relation.ispartofseriesElectric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019en
dc.rightsopenAccessen
dc.subject.keywordAnalytical modelen_US
dc.subject.keywordElectrical machineen_US
dc.subject.keywordFlow network analysisen_US
dc.subject.keywordHydraulic resistancesen_US
dc.subject.keywordMinor loss factoren_US
dc.titleReview of the analytical flow model to predict the hydraulic behaviour in electrical machineen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

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