Parekh, Jigar und Bekemeyer, Philipp und Helm, Sebastian und Francois, Daniela Gisele und Grabe, Cornelia (2023) LAMINAR AIRFOIL DESIGN UNDER UNCERTAINTIES USING THE DLR GAMMA TRANSITION MODEL. Deutscher Luft- und Raumfahrtkongress 2023, 2023-09-19 - 2023-09-21, Stuttgart, Germany. doi: 10.25967/610225.
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Kurzfassung
The development of energy-efficient aircraft is crucial for achieving sustainable, zero-emission air travel. Achieving sustainability in aviation necessitates strategies to reduce fuel consumption, including the implementation of low-drag wing designs and harnessing laminar flow. However, designing laminar aircraft requires intricate methodologies due to sensitivity to environmental and operational variations. This study addresses the challenge of designing energy-efficient aircraft by employing computational fluid dynamics models and advanced optimization under uncertainty techniques. We show the successful application of the surrogate-based optimization and uncertainty quantification approach in the optimization of airfoil drag enabling a natural laminar airfoil (NLF) design. The optimization process employs surrogate models trained using the data from highfidelity airfoil simulations using - (i) a boundary layer code coupled with linear stability method, and (ii) a recently developed transition transport model. Accuracy of the surrogate models is improved using an active sampling strategy. The robust optimization approach accounts for uncertainties in environmental and operational conditions, providing a more comprehensive understanding of their impact on key design parameters. Contrary to conventional deterministic aerodynamic design optimization, our results demonstrate the effectiveness and accuracy of optimization under uncertainty for achieving robust NLF airfoil designs. The robust optimums favor a delayed transition location w.r.t. the instabilities, unlike their deterministic counterparts that feature sudden transitions triggering fully turbulent flow. This study advances the field by offering a practical and reliable methodology for developing energy-efficient airfoil. The application of these advanced optimization techniques and uncertainty quantification methods holds significant promise for the broader field of aerospace engineering, offering a pathway towards more robust designs.
elib-URL des Eintrags: | https://elib.dlr.de/199372/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vorlesung) | ||||||||||||||||||||||||
Titel: | LAMINAR AIRFOIL DESIGN UNDER UNCERTAINTIES USING THE DLR GAMMA TRANSITION MODEL | ||||||||||||||||||||||||
Autoren: |
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Datum: | 22 November 2023 | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||
DOI: | 10.25967/610225 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | Robust Design Optimization, Surrogate Based Uncertainty Quantification, Laminarization, Transition Modeling | ||||||||||||||||||||||||
Veranstaltungstitel: | Deutscher Luft- und Raumfahrtkongress 2023 | ||||||||||||||||||||||||
Veranstaltungsort: | Stuttgart, Germany | ||||||||||||||||||||||||
Veranstaltungsart: | nationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 19 September 2023 | ||||||||||||||||||||||||
Veranstaltungsende: | 21 September 2023 | ||||||||||||||||||||||||
Veranstalter : | Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V. (DGLR) | ||||||||||||||||||||||||
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 | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > CASE, BS Institut für Aerodynamik und Strömungstechnik > CASE, GO | ||||||||||||||||||||||||
Hinterlegt von: | Parekh, Jigar | ||||||||||||||||||||||||
Hinterlegt am: | 14 Dez 2023 12:22 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:59 |
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