Print Email Facebook Twitter Prediction of acoustic noise and vibration of a 24/16 traction switched reluctance machine Title Prediction of acoustic noise and vibration of a 24/16 traction switched reluctance machine Author Liang, Jianbin (McMaster University) Jiang, James W. (McMaster University) Callegaro, Alan Dorneles (McMaster University) Bilgin, Berker (McMaster University) Dong, J. (TU Delft DC systems, Energy conversion & Storage) Reeves, Debbie (MSC Software Corporation) Emadi, Ali (McMaster University) Date 2020 Abstract This study presents a numerical modelling approach for the prediction of vibration and acoustic noise for a 24/16 traction switched reluctance machine (SRM). The numerical modelling includes the simulation of electromagnetic force in JMAG, the calculation of natural frequencies and the simulation of vibration and acoustic noise in ACTRAN. Considerations in the modelling of geometries, meshing and contacts of the 24/16 SRM are discussed to ensure the accuracy of the numerical simulation. Two-dimensional fast Fourier transform (FFT) is applied to the radial nodal force at the stator pole tip to analyse the dominant harmonics. FFT is also applied to the simulated surface displacement of the housing and the sound pressure at 2000 rpm to analyse their dominant frequency components. The dominant harmonics for the vibration and acoustic noise at 2000 rpm are confirmed. The numerical modelling method presented in this study can also be applied to the other SRMs and electric machines to predict the vibration behaviour and the radiated acoustic noise. Subject acoustic noisetraction motor drivesfinite element analysismachine controlfast Fourier transformsstatorselectromagnetic forcesautomotive engineeringvibrationsreluctance motor drivesreluctance machinesreluctance machinenumerical modelling approach2416 SRMnumerical simulationdominant harmonicssimulated surface displacementnumerical modelling methodvibration behaviourradiated acoustic noise To reference this document use: http://resolver.tudelft.nl/uuid:3e9e3694-f877-4711-8267-af7942018195 DOI https://doi.org/10.1049/iet-est.2018.5031 Embargo date 2020-10-01 ISSN 2042-9738 Source IET Electrical Systems in Transportation, 10 (1), 35-43 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2020 Jianbin Liang, James W. Jiang, Alan Dorneles Callegaro, Berker Bilgin, J. Dong, Debbie Reeves, Ali Emadi Files PDF iet_est.2018.5031.pdf 2.9 MB Close viewer /islandora/object/uuid:3e9e3694-f877-4711-8267-af7942018195/datastream/OBJ/view