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A fast prediction method for rotor buzz-saw noise based on an analytical approach

Moreau, Antoine and Staggat, Martin and Gscheidle, Christian (2019) A fast prediction method for rotor buzz-saw noise based on an analytical approach. In: 25th AIAA/CEAS Conference 2019. 25th AIAA/CEAS Aeroacoustics Conference, paper number: AIAA-2019-2641, 20-23 May 2019, Delft, The Netherlands.

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Item URL in elib:https://elib.dlr.de/132344/
Document Type:Conference or Workshop Item (Speech)
Title:A fast prediction method for rotor buzz-saw noise based on an analytical approach
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Moreau, AntoineDLR, Institut für AntriebstechnikUNSPECIFIED
Staggat, MartinDLRUNSPECIFIED
Gscheidle, ChristianRWTH AachenUNSPECIFIED
Date:2019
Journal or Publication Title:25th AIAA/CEAS Conference 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:fan noise, analytical prediction, supersonic rotor
Event Title:25th AIAA/CEAS Aeroacoustics Conference, paper number: AIAA-2019-2641
Event Location:Delft, The Netherlands
Event Type:international Conference
Event Dates:20-23 May 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:propulsion systems
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Virtual Engine and Validation methods
Location: Berlin-Charlottenburg
Institutes and Institutions:Institute of Propulsion Technology
Institute of Propulsion Technology > Engine Acoustic
Deposited By: Moreau, Antoine
Deposited On:09 Dec 2019 09:49
Last Modified:09 Dec 2019 09:49

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