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Transition prediction for flows with suction using the eN-method

Krimmelbein, Normann and Krumbein, Andreas (2021) Transition prediction for flows with suction using the eN-method. In: AIAA Scitech 2021 Forum. AIAA SciTech Forum, 2021-01-11 - 2021-01-15, virtuell. doi: 10.2514/6.2021-0630. ISBN 978-162410609-5.

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Official URL: https://arc.aiaa.org/doi/10.2514/6.2021-0630

Abstract

In this paper a validation study of transition prediction in a RANS solver for flows with suction is presented. The prediction of the transition locations is done using linear stability theory and the eN-method. The input data necessary for the stability analysis is directly taken from the RANS solution. In the RANS computations the suction velocity at the surface is introduced by a suction mass flux boundary condition. The prediction capability of the eNmethod is validated using different two- and three-dimensional experimental test cases, such as the flow over a flat plate, a NACA 642-A-215 and a NACA 64-A-010 airfoil and the flow over swept wings with an ONERA D and an ONERA DTP-B airfoil section normal to the leading edge. If disturbances introduced to the flow due to the suction process itself or due to the surface roughness caused by the suction holes are considered by a reduced critical N-factor, a good agreement of the predicted transition locations with experimental data is obtained.

Item URL in elib:https://elib.dlr.de/146734/
Document Type:Conference or Workshop Item (Speech)
Title:Transition prediction for flows with suction using the eN-method
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Krimmelbein, NormannUNSPECIFIEDhttps://orcid.org/0000-0003-3850-9729133720900
Krumbein, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-2772-7328133720658
Date:January 2021
Journal or Publication Title:AIAA Scitech 2021 Forum
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.2514/6.2021-0630
ISBN:978-162410609-5
Status:Published
Keywords:suction, transition prediction, stability theory
Event Title:AIAA SciTech Forum
Event Location:virtuell
Event Type:international Conference
Event Start Date:11 January 2021
Event End Date:15 January 2021
Organizer:AIAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Krimmelbein, Normann
Deposited On:06 Dec 2021 08:42
Last Modified:24 Apr 2024 20:45

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