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Verification of Transition Prediction for Flows With Suction Using Linear Stability Theory and eN-Method

Krimmelbein, Normann and Krumbein, Andreas (2024) Verification of Transition Prediction for Flows With Suction Using Linear Stability Theory and eN-Method. In: Advanced Computational Methods and Design for Greener Aviation Computational Methods in Applied Sciences, 59. Springer International Publishing. pp. 41-55. doi: 10.1007/978-3-031-61109-4_4. ISBN 978-3-031-61109-4. ISSN 1871-3033.

Full text not available from this repository.

Official URL: https://doi.org/10.1007/978-3-031-61109-4_4

Abstract

A transition prediction approach using linear stability theory and eN-method is used for the evaluation of the stability of flows with suction. The input data for the stability analysis are directly taken from the solution of a RANS computation, where the suction velocity at the surface is introduced by a mass flux boundary condition. The prediction capability of the eN-method is validated using different two-- and three--dimensional experimental test cases, such as the flow over a NACA 642-A-215 and a NACA 64-A-010 airfoil and the flow over swept wings with ONERA D and ONERA DTP-B airfoil sections normal to the leading edge. A reduced critical N-factor for flows with suction, compared to a critical N-factor for the unaffected flow, is intended to account for disturbances possibly introduced to the flow due to the suction process itself or due to the surface roughness.

Item URL in elib:https://elib.dlr.de/205652/
Document Type:Book Section
Title:Verification of Transition Prediction for Flows With Suction Using Linear Stability Theory and eN-Method
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Krimmelbein, NormannUNSPECIFIEDhttps://orcid.org/0000-0003-3850-9729167650824
Krumbein, AndreasUNSPECIFIEDhttps://orcid.org/0000-0002-2772-7328167650825
Date:31 July 2024
Journal or Publication Title:Advanced Computational Methods and Design for Greener Aviation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:59
DOI:10.1007/978-3-031-61109-4_4
Page Range:pp. 41-55
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Tuovinen, TeroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Periaux, JacquesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Knoerzer, DietrichUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bugeda, GabrielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pons-Prats, JordiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Publisher:Springer International Publishing
Series Name:Computational Methods in Applied Sciences
ISSN:1871-3033
ISBN:978-3-031-61109-4
Status:Published
Keywords:transition, suction, transition prediction
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Digital Technologies
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Institute for Aerodynamics and Flow Technology > CASE, GO
Deposited By: Krimmelbein, Normann
Deposited On:17 Sep 2024 10:06
Last Modified:18 Sep 2024 11:49

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