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Prediction of acoustic emissions of turbocharger bearings

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conference contribution
posted on 19.11.2020, 15:42 by Nader Dolatabadi, Ramin Rahmani, Homer Rahnejat
© 2020SAE International. All Rights Reserved. Turbochargers are progressively used in modern automotive engines to enhance engine performance and reduce energy loss and adverse emissions. Use of turbochargers along with other modern technologies has enabled development of significantly downsized internal combustion engines. However, turbochargers are major sources of acoustic emissions in modern automobiles. Their acoustics has a distinctive signature, originating from fluid-structure interactions. The bearing systems of turbochargers also constitute an important noise source. In this case, the acoustic emissions can mainly be attributed to hydrodynamic pressure fluctuations of the lubricant film. The developed analytical model determines the lubricant pressure distribution in the floating journal bearings used mainly in the modern turbocharges. This allows for an estimation of acoustic emissions. The use of such an analytical approach is computationally efficient when compared with full numerical analysis approaches, whilst also providing reliable predictions. The results from the developed analytical model are used to determine the power loss as well as sound pressure levels generated in the turbocharger bearings due to oil flow which can be correlated with the acoustic emissions of turbochargers.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

SAE Technical Paper

Issue

2020

Source

11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference

Publisher

SAE

Version

AM (Accepted Manuscript)

Rights holder

© SAE

Publisher statement

This paper was accepted for publication in the journal SAE Technical Paper and the definitive published version is available at https://doi.org/10.4271/2020-01-1504

Publication date

2020-09-30

Copyright date

2020

ISSN

0148-7191

eISSN

2688-3627

Language

en

Location

Graz, Austria

Event dates

4th November 2020 - 4th November 2020

Depositor

Dr Ramin Rahmani . Deposit date: 16 November 2020

Article number

2020-01-1504

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