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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Karasu, Ekin Can	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Meier zu Ummeln, Robert	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Meyer, Robert	UNSPECIFIED	https://orcid.org/0009-0005-5241-1818	UNSPECIFIED

Date:

25 April 2023

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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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