Numerical methods for noise propagation in moving flows, with application to turbofan engines
Numerical methods for noise propagation in moving flows, with application to turbofan engines
This article reviews the development and application of Computational AeroAcoustics (CAA) to acoustic propagation on subsonic mean flows, with a particular focus on methods used to predict acoustic radiation from turbofan aeroengines. The governing equations are presented and particular issues such as the formulation of impedance and far field boundary conditions, the treament of Kelvin-Helmholtz instabilities, resolution requirements and methods for controlling dispersion error, are discussed. The status of current CAA methods is reviewed. Finally, the matter of validation against benchmark problems and measured data is explored.
computational aeroacoustics, turbofan propagation, aircraft noise
227-239
Astley, R. Jeremy
cb7fed9f-a96a-4b58-8939-6db1010f9893
1 July 2009
Astley, R. Jeremy
cb7fed9f-a96a-4b58-8939-6db1010f9893
Astley, R. Jeremy
(2009)
Numerical methods for noise propagation in moving flows, with application to turbofan engines.
Acoustical Science and Technology, 30 (4), .
(doi:10.1250/ast.30.227).
Abstract
This article reviews the development and application of Computational AeroAcoustics (CAA) to acoustic propagation on subsonic mean flows, with a particular focus on methods used to predict acoustic radiation from turbofan aeroengines. The governing equations are presented and particular issues such as the formulation of impedance and far field boundary conditions, the treament of Kelvin-Helmholtz instabilities, resolution requirements and methods for controlling dispersion error, are discussed. The status of current CAA methods is reviewed. Finally, the matter of validation against benchmark problems and measured data is explored.
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Published date: 1 July 2009
Keywords:
computational aeroacoustics, turbofan propagation, aircraft noise
Identifiers
Local EPrints ID: 71537
URI: http://eprints.soton.ac.uk/id/eprint/71537
ISSN: 1346-3969
PURE UUID: 7b6dc2f6-3c52-4168-b3ae-f7f1987e7785
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Date deposited: 29 Jan 2010
Last modified: 13 Mar 2024 20:30
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