Spectral characterizations of centrifugal fan noise via urans-based noise prediction method

Ali Zamiri, Hyeon Joon Oh, Young June Moon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Noise prediction of centrifugal fan is difficult because flows are turbulent and locally separated in the blade flow passages. It is important to realize that the far-field acoustics are dominated by the internal pressure fluctuations inside the fan motor housing, comprised of rotating impellers, diffusers, return channels, motor stands, etc. In the present study, an uRANS-based approach with k-ω SST turbulence model is used to predict the fan performance as well as the noise characteristics of the centrifugal fans. The near-field pressure fluctuation spectra computed by uRANS are in good agreement with the measured far-field SPL spectra in a relative manner, if the flow rate is not too off from the peak efficiency. It is expected that the uRANS can be used as a tool for optimizing the fan noise characteristics, as long as the fan is enclosed with the fan motor housing.

Original languageEnglish
Title of host publicationFAN 2015 - International Conference on Fan Noise, Technology and Numerical Methods
PublisherInstitution of Mechanical Engineers
Volume2015-April
ISBN (Electronic)9780957237438
Publication statusPublished - 2015 Jan 1
EventInternational Conference on Fan Noise, Technology and Numerical Methods, FAN 2015 - Lyon, Villeurbanne, France
Duration: 2015 Apr 152015 Apr 17

Other

OtherInternational Conference on Fan Noise, Technology and Numerical Methods, FAN 2015
CountryFrance
CityLyon, Villeurbanne
Period15/4/1515/4/17

Fingerprint

noise prediction
fans
far fields
impellers
internal pressure
diffusers
turbulence models
blades
turbulent flow
near fields
flow velocity
acoustics

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Zamiri, A., Oh, H. J., & Moon, Y. J. (2015). Spectral characterizations of centrifugal fan noise via urans-based noise prediction method. In FAN 2015 - International Conference on Fan Noise, Technology and Numerical Methods (Vol. 2015-April). Institution of Mechanical Engineers.

Spectral characterizations of centrifugal fan noise via urans-based noise prediction method. / Zamiri, Ali; Oh, Hyeon Joon; Moon, Young June.

FAN 2015 - International Conference on Fan Noise, Technology and Numerical Methods. Vol. 2015-April Institution of Mechanical Engineers, 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zamiri, A, Oh, HJ & Moon, YJ 2015, Spectral characterizations of centrifugal fan noise via urans-based noise prediction method. in FAN 2015 - International Conference on Fan Noise, Technology and Numerical Methods. vol. 2015-April, Institution of Mechanical Engineers, International Conference on Fan Noise, Technology and Numerical Methods, FAN 2015, Lyon, Villeurbanne, France, 15/4/15.
Zamiri A, Oh HJ, Moon YJ. Spectral characterizations of centrifugal fan noise via urans-based noise prediction method. In FAN 2015 - International Conference on Fan Noise, Technology and Numerical Methods. Vol. 2015-April. Institution of Mechanical Engineers. 2015
Zamiri, Ali ; Oh, Hyeon Joon ; Moon, Young June. / Spectral characterizations of centrifugal fan noise via urans-based noise prediction method. FAN 2015 - International Conference on Fan Noise, Technology and Numerical Methods. Vol. 2015-April Institution of Mechanical Engineers, 2015.
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