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.
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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/ | ||||||||||||||||||||||||
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| Document Type: | Book Section | ||||||||||||||||||||||||
| Title: | Verification of Transition Prediction for Flows With Suction Using Linear Stability Theory and eN-Method | ||||||||||||||||||||||||
| Authors: |
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| 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: |
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| 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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