Liner optimisation for turbofan ducts - towards a fully automated procedure
Liner optimisation for turbofan ducts - towards a fully automated procedure
Validated computational methods exist which can predict sound propagation and absorption in turbofan intake and bypass ducts. In this article, the practicability of embedding such methods within automated and semi-automated liner optimisation schemes for realistic nacelle geometries, liner definitions and noise source spectra is investigated. Two different strategies are used to demonstrate the feasibility of applying such an approach to intake liner optimisation.
American Institute of Aeronautics and Astronautics
Astley, R .Jeremy
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Sugimoto, Rie
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Mustafi, Prateek
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Kewin, Matthew
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Achunche, Iansteel
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June 2010
Astley, R .Jeremy
cb7fed9f-a96a-4b58-8939-6db1010f9893
Sugimoto, Rie
cb8c880d-0be0-4efe-9990-c79faa8804f0
Mustafi, Prateek
3fa19389-9fcc-4d60-98af-55132505c4f5
Kewin, Matthew
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Achunche, Iansteel
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Astley, R .Jeremy, Sugimoto, Rie, Mustafi, Prateek, Kewin, Matthew and Achunche, Iansteel
(2010)
Liner optimisation for turbofan ducts - towards a fully automated procedure.
In Proceedings of 16th AIAA/CEAS Aeroacoustics Conference.
American Institute of Aeronautics and Astronautics.
10 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Validated computational methods exist which can predict sound propagation and absorption in turbofan intake and bypass ducts. In this article, the practicability of embedding such methods within automated and semi-automated liner optimisation schemes for realistic nacelle geometries, liner definitions and noise source spectra is investigated. Two different strategies are used to demonstrate the feasibility of applying such an approach to intake liner optimisation.
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Published date: June 2010
Additional Information:
Paper Number AIAA-2010-3826
Venue - Dates:
16th AIAA/CEAS Aeroacoustics Conference, , Stockholm, Sweden, 2010-06-06 - 2010-06-08
Identifiers
Local EPrints ID: 172721
URI: http://eprints.soton.ac.uk/id/eprint/172721
PURE UUID: 89411db4-d59d-4ca6-b850-2bdb37de7426
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Date deposited: 28 Jan 2011 11:35
Last modified: 14 Sep 2022 01:39
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Contributors
Author:
Prateek Mustafi
Author:
Matthew Kewin
Author:
Iansteel Achunche
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