Krumbein, Andreas (2008) eN transition prediction for 3D wing configurations using database methods and a local, linear stability code. Aerospace Science and Technology, Vol. 1, pp. 592-598. Elsevier. doi: 10.1016/j.ast.2008.01.005.
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Abstract
A Reynolds-averaged Navier-Stokes solver, a laminar boundary-layer code and different transition prediction methods for the prediction of Tollmien-Schlichting and cross flow instabilities were coupled in order to perform Reynolds-averaged Navier-Stokes computations of three-dimensional, finite wings with automatic laminar-turbulent transition prediction. The results from computations based on two database methods and a local, linear stability code together with the eN-method are compared for a three-dimensional wing configuration.
Item URL in elib: | https://elib.dlr.de/56022/ | ||||||||
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Document Type: | Article | ||||||||
Title: | eN transition prediction for 3D wing configurations using database methods and a local, linear stability code | ||||||||
Authors: |
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Date: | November 2008 | ||||||||
Journal or Publication Title: | Aerospace Science and Technology | ||||||||
Open Access: | No | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Volume: | Vol. 1 | ||||||||
DOI: | 10.1016/j.ast.2008.01.005 | ||||||||
Page Range: | pp. 592-598 | ||||||||
Publisher: | Elsevier | ||||||||
Status: | Published | ||||||||
Keywords: | Transition prediction, RANS solver, eN-method, 3D wings | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Aeronautics | ||||||||
HGF - Program Themes: | Aircraft Research (old) | ||||||||
DLR - Research area: | Aeronautics | ||||||||
DLR - Program: | L AR - Aircraft Research | ||||||||
DLR - Research theme (Project): | L - Concepts & Integration (old) | ||||||||
Location: | Göttingen | ||||||||
Institutes and Institutions: | Institute of Aerodynamics and Flow Technology > CASE | ||||||||
Deposited By: | Krumbein, Dr.-Ing. Andreas | ||||||||
Deposited On: | 11 Nov 2008 | ||||||||
Last Modified: | 24 Apr 2024 19:20 |
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