Comparison of RANS parameters for flow noise prediction
2013 (English)In: 42nd International Congress and Exposition on Noise Control Engineering 2013, INTER-NOISE 2013: Noise Control for Quality of Life, OAL-Osterreichischer Arbeitsring fur Larmbekampfung , 2013, 5916-5925 p.Conference paper (Refereed)
TThe use of Computational Fluid Dynamics (CFD) and especially Reynolds Averaged Navier Stokes Equations (RANS) simulations is a well-established tool in industry for performance evaluation of constrictions in low speed flow ducts. However, the use of CFD simulations for noise predictions is not as common. In this paper, two different models to predict the sound spectra through the use of RANS simulations and a noise reference spectrum are compared and evaluated. One method predicts the sound based on the pressure drop whereas the other method is based on the turbulent kinetic energy. The influence of both turbulence models as well as mesh properties have been investigated. Noise predictions from simulation results are compared to noise measurement results of an orifice in a duct. The comparison between the simulated results and measured data are in excellent agreement. The benefit of using the pressure drop, as input data, is a lower sensitivity to both the structure and the resolution of the mesh. Also, this model has a more general definition allowing a consistent method for different constriction geometries. Still, predictions using the turbulent kinetic energy result in equivalent accuracy and even if the choice of input data is more complex it can be preferred in special cases.
Place, publisher, year, edition, pages
OAL-Osterreichischer Arbeitsring fur Larmbekampfung , 2013. 5916-5925 p.
Flow noise, Noise prediction, RANS
Other Civil Engineering
IdentifiersURN: urn:nbn:se:kth:diva-137968ScopusID: 2-s2.0-84904498256ISBN: 978-163266267-5OAI: oai:DiVA.org:kth-137968DiVA: diva2:679892
42nd International Congress and Exposition on Noise Control Engineering 2013: Noise Control for Quality of Life, INTER-NOISE 2013; Innsbruck; Austria; 15 September 2013 through 18 September 2013
QC 201402282013-12-172013-12-172014-09-15Bibliographically approved