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Titel:

A Highly Automated Method for simulating Airfoil Characteristics at Low Reynolds Number using a RANS - Transition Approach

Autor(en): F. Götten, F. Finger, M. Havermann, C. Braun, M. Marino, C. Bil
Zusammenfassung: The paper presents a novel procedure that highly automates subsonic airfoil simulations using a volume resolving Reyn-olds-Averaged Navier-Stokes approach (RANS). The procedure is designed to minimize human interaction to what is known from 2D panel schemes like XFOIL. Natural transition effects are captured with the intermittency-momentum thickness Reynolds number model, which makes the approach especially suited to low Reynolds number flows. The new procedure combines existing geometry and simulation software and completely automates the setup from mesh generation to solving and post-processing. Manual interaction is reduced to specifying airfoil shapes and flow parameters. A variety of validation cases is presented comparing the novel approach to wind tunnel measurements and respective XFOIL calculations. Airfoil lift, drag, moment and transition location show very good accuracy. The novel procedure shows superior performance for critical cases that involve large laminar separation bubbles when compared to XFOIL. It greatly enhances the ability to use RANS airfoil simulations in aerodynamic research or aircraft design.
Veranstaltung: Deutscher Luft- und Raumfahrtkongress 2019, Darmstadt
Verlag, Ort: Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2020
Medientyp: Conference Paper
Sprache: englisch
Format: 21,0 x 29,7 cm, 14 Seiten
URN: urn:nbn:de:101:1-2020011013321844123054
DOI:10.25967/490026
Stichworte zum Inhalt: Low Reynolds number, CFD, airfoil, transition, automation
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Zitierform:Götten, F.; Finger, F.; et al. (2020): A Highly Automated Method for simulating Airfoil Characteristics at Low Reynolds Number using a RANS - Transition Approach. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/490026. urn:nbn:de:101:1-2020011013321844123054.
Veröffentlicht am: 10.01.2020