Francois, Daniela Gisele und Krumbein, Andreas und Krimmelbein, Normann und Grabe, Cornelia (2022) Simplified Stability-Based Transition Transport Modeling for Unstructured Computational Fluid Dynamics. In: AIAA SciTech 2022 Forum, Seiten 1-18. ARC. AIAA Scitech Forum 2022, 2022-01-03 - 2022-01-07, San Diego, California, USA. doi: 10.2514/6.2022-1543. ISBN 978-162410631-6.
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Offizielle URL: https://doi.org/10.2514/6.2022-1543.vid
Kurzfassung
Inspired by the gamma-Re_thetat model framework, a new gamma-based model was developed and implemented into an unstructured Reynolds-averaged Navier-Stokes code. The new model applies a modified version of the gamma-transport equation of the gamma-Re_thetat model. This new implementation applies an alternative local formulation for the pressure-gradient parameter lambda_theta that allows the local assessment of the transition criterion within the boundary layer, and thereby, simplifies the model and increases the accuracy of the transition onset location. The resulting prediction approach is robust, user-friendly, and suitable for unstructured RANS solvers with high parallelization. To attain a wide application range of the prediction method, while keeping the simplicity of the approach, a physical path-independent transition criterion was adopted which was calibrated based on linear stability theory results. The approach was successfully validated against experimental data for various relevant test cases. In addition, results were also compared with results obtained with the gamma-Re_thetat model and, for some cases, with the eN method showing a strong similarity in the predictions of the eN method and the new gamma model.
elib-URL des Eintrags: | https://elib.dlr.de/148505/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Zusätzliche Informationen: | nur Vortrag Video: https://doi.org/10.2514/6.2022-1543.vid | ||||||||||||||||||||
Titel: | Simplified Stability-Based Transition Transport Modeling for Unstructured Computational Fluid Dynamics | ||||||||||||||||||||
Autoren: |
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Datum: | 7 Januar 2022 | ||||||||||||||||||||
Erschienen in: | AIAA SciTech 2022 Forum | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.2514/6.2022-1543 | ||||||||||||||||||||
Seitenbereich: | Seiten 1-18 | ||||||||||||||||||||
Herausgeber: |
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Verlag: | ARC | ||||||||||||||||||||
ISBN: | 978-162410631-6 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | laminar-tubulent transition prediction, transition transport model, DLR gamma model, DLR TAU Code, Menter SST turbulence model, RANS | ||||||||||||||||||||
Veranstaltungstitel: | AIAA Scitech Forum 2022 | ||||||||||||||||||||
Veranstaltungsort: | San Diego, California, USA | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 3 Januar 2022 | ||||||||||||||||||||
Veranstaltungsende: | 7 Januar 2022 | ||||||||||||||||||||
Veranstalter : | AIAA | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Digitale Technologien | ||||||||||||||||||||
Standort: | Braunschweig , Göttingen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > CASE, GO Institut für Aerodynamik und Strömungstechnik > CASE, BS | ||||||||||||||||||||
Hinterlegt von: | Francois, Daniela Gisele | ||||||||||||||||||||
Hinterlegt am: | 02 Mär 2022 14:17 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:46 |
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