Noise Identification for an Automotive Wheel Bearingopen access
- Authors
- Kim, Jaewon; Kwon, Seongmin; Ryu, Seokwon; Lee, Seungpyo; Jeong, Jaeil; Chung, 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.
- Files in This Item
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- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles
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