Computational aero-acoustics for fan duct propagation and radiation. Current status and application to turbofan liner optimisation
Computational aero-acoustics for fan duct propagation and radiation. Current status and application to turbofan liner optimisation
Novel techniques are presented to reduce noise from turbofan aircraft engines by optimising the acoustic treatment in engine ducts. The application of Computational Aero-Acoustics (CAA) to predict acoustic propagation and absorption in turbofan ducts is reviewed and a critical assessment of performance indicates that validated and accurate techniques are now available for realistic engine predictions. A procedure for integrating CAA methods with state of the art optimisation techniques is proposed in the remainder of the article. This is achieved by embedding advanced computational methods for noise prediction within automated and semi-automated optimisation schemes. Two different strategies are described and applied to realistic nacelle geometries and fan sources to demonstrate the feasibility of this approach for industry scale problems.
3832-3845
Astley, Richard
cb7fed9f-a96a-4b58-8939-6db1010f9893
Sugimoto, Rie
cb8c880d-0be0-4efe-9990-c79faa8804f0
Mustafi, Prateek
6ca6d0f0-01bd-4e72-9bc1-39f01941041c
May 2011
Astley, Richard
cb7fed9f-a96a-4b58-8939-6db1010f9893
Sugimoto, Rie
cb8c880d-0be0-4efe-9990-c79faa8804f0
Mustafi, Prateek
6ca6d0f0-01bd-4e72-9bc1-39f01941041c
Astley, Richard, Sugimoto, Rie and Mustafi, Prateek
(2011)
Computational aero-acoustics for fan duct propagation and radiation. Current status and application to turbofan liner optimisation.
Journal of Sound and Vibration, 330, .
(doi:10.1016/j.jsv.2011.03.022).
Abstract
Novel techniques are presented to reduce noise from turbofan aircraft engines by optimising the acoustic treatment in engine ducts. The application of Computational Aero-Acoustics (CAA) to predict acoustic propagation and absorption in turbofan ducts is reviewed and a critical assessment of performance indicates that validated and accurate techniques are now available for realistic engine predictions. A procedure for integrating CAA methods with state of the art optimisation techniques is proposed in the remainder of the article. This is achieved by embedding advanced computational methods for noise prediction within automated and semi-automated optimisation schemes. Two different strategies are described and applied to realistic nacelle geometries and fan sources to demonstrate the feasibility of this approach for industry scale problems.
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Published date: May 2011
Organisations:
Fluid Dynamics & Acoustics Group
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Local EPrints ID: 185379
URI: http://eprints.soton.ac.uk/id/eprint/185379
ISSN: 0022-460X
PURE UUID: 0540188c-af1d-4f0e-b350-d347148bb526
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Date deposited: 10 May 2011 10:13
Last modified: 15 Mar 2024 03:18
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Author:
Prateek Mustafi
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