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Data-Based Modelling of Mean Flow and Turbulence Quantities on a Modern Fan Test Rig

Karasu, Ekin Can and Meier zu Ummeln, Robert and Meyer, Robert (2023) Data-Based Modelling of Mean Flow and Turbulence Quantities on a Modern Fan Test Rig. DLR-Interner Bericht. DLR-IB-AT-BC-2023-65. Master's. Technische Universität Berlin. 111 S.

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Item URL in elib:https://elib.dlr.de/195568/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Data-Based Modelling of Mean Flow and Turbulence Quantities on a Modern Fan Test Rig
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Karasu, Ekin CanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Meier zu Ummeln, RobertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Meyer, RobertUNSPECIFIEDhttps://orcid.org/0009-0005-5241-1818UNSPECIFIED
Date:25 April 2023
Refereed publication:No
Open Access:No
Number of Pages:111
Status:Published
Keywords:fan rotor wakes, hot-wire anemometry, wake turbulence, CRAFT, fan noise, wake interaction noise, empirical model, PropNoise, tip vortices
Institution:Technische Universität Berlin
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Virtual Engine
Location: Berlin-Charlottenburg
Institutes and Institutions:Institute of Propulsion Technology > Engine Acoustic
Deposited By: Meier zu Ummeln, Robert
Deposited On:26 Jun 2023 08:54
Last Modified:03 Jul 2023 09:25

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