Prediction of acoustic noise and vibration of a 24/16 traction switched reluctance machine

Journal Article (2020)
Author(s)

Jianbin Liang (McMaster University)

James W. Jiang (McMaster University)

Alan Dorneles Callegaro (McMaster University)

Berker Bilgin (McMaster University)

Jianning Dong (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Debbie Reeves (MSC Software Corporation)

Ali Emadi (McMaster University)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1049/iet-est.2018.5031 Final published version
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Publication Year
2020
Language
English
Research Group
DC systems, Energy conversion & Storage
Issue number
1
Volume number
10
Pages (from-to)
35-43
Downloads counter
185
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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.

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