Simulations of whistling and the whistling potentiality of an in-duct orifice with linear aeroacoustics

This paper demonstrates a linear aeroacoustic simulation methodology to predict the whistling of an orifice plate in a flow duct. The methodology is based on a linearized Navier–Stokes solver in the frequency domain with the mean flow field taken from a Reynolds-Averaged Navier–Stokes (RANS) solutio...

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Bibliographic Details
Published in:Journal of sound and vibration 2012-02, Vol.331 (5), p.1084-1096
Main Authors: Kierkegaard, A., Allam, S., Efraimsson, G., Åbom, M.
Format: Article
Language:English
Subjects:
Acoustics
Aeroacoustics
Aeroacoustics, atmospheric sound
Akustik
duct
Ducts
Engineering physics
Exact sciences and technology
Fluid dynamics
frequency-domain
Fundamental areas of phenomenology (including applications)
General theory
linearized Navier-Stokes
Mathematical analysis
Methodology
Navier-Stokes equations
Physics
scattering
Simulation
Stability
TECHNOLOGY
TEKNIKVETENSKAP
Teknisk fysik
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Summary:This paper demonstrates a linear aeroacoustic simulation methodology to predict the whistling of an orifice plate in a flow duct. The methodology is based on a linearized Navier–Stokes solver in the frequency domain with the mean flow field taken from a Reynolds-Averaged Navier–Stokes (RANS) solution. The whistling potentiality is investigated via an acoustic energy balance for the in-duct element and good agreement with experimental data is shown. A Nyquist stability criterion based on the simulation data was applied to predict whistling of the orifice when placed in a finite sized duct and experiments were carried out to validate the predictions. The results indicate that although whistling is a nonlinear phenomena caused by an acoustic-flow instability feed-back loop, the linearized Navier–Stokes equations can be used to predict both whistling potentiality and a duct system's ability to whistle or not. ► An aeroacoustic simulations methodology based on the frequency domain Navier–Stokes equations are presented. ► A Nyquist stability criterion was applied to identify whistling in duct systems. ► Simulation results are validated by experiments, with good agreement. ► Results suggest that linear aeroacoustic simulations can be used to predict whistling in duct systems.
ISSN:0022-460X
1095-8568
1095-8568
DOI:10.1016/j.jsv.2011.10.028