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Noise Identification for an Automotive Wheel Bearingopen access

Authors
Kim, JaewonKwon, SeongminRyu, SeokwonLee, SeungpyoJeong, JaeilChung, Jintai
Issue Date
Jun-2022
Publisher
MDPI
Keywords
automotive wheel bearing; noise and vibration; bearing defect; radial deformation
Citation
Applied Sciences-basel, v.12, no.11, pp 1 - 16
Pages
16
Indexed
SCIE
SCOPUS
Journal Title
Applied Sciences-basel
Volume
12
Number
11
Start Page
1
End Page
16
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/111331
DOI
10.3390/app12115515
ISSN
2076-3417
Abstract
In this study, we identified the noise generated from automotive wheel bearings, which has recently emerged as a new problem in electric vehicles. The wheel bearing assembly considered in this study consists of a wheel bearing, dust shield, and knuckle, which are fastened with bolts. To obtain the noise characteristics of the wheel bearing, the noise and vibration were experimentally measured when the bearing rotated. Additionally, the natural frequencies and mode shapes of the main components of the bearing were acquired via modal testing. By comparing the obtained natural frequencies with the peak frequencies of the measured noise and vibration signals, we identified where the noise radiated. To specifically identify bearing defects, a finite element analysis model was established, and the deformation of the bearing under load was analyzed. Based on the analysis, we determined that the deformation of the outer ring in an outboard row, which resulted from bolt fastening, leads to noise and vibration in the wheel bearing.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

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Chung, Jintai
ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)
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