Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session G16: Aerodynamics: Airfoils, Wings and Bodies
10:35 AM–12:45 PM,
Monday, November 19, 2018
Georgia World Congress Center
Room: B303
Chair: Azar Eslam-Panah, Pennsylvania State University, Berks
Abstract ID: BAPS.2018.DFD.G16.1
Abstract: G16.00001 : Prandtl second optimal wing: model design and testing with near wake PIV, and 3-D simulation
10:35 AM–10:48 AM
Presenter:
Gregoire Winckelmans
(UCLouvain)
Authors:
Gregoire Winckelmans
(UCLouvain)
Jonathan Toussaint
(Wake Prediction Technologies (WaPT))
Philippe Chatelain
(UCLouvain)
Denis-Gabriel Caprace
(UCLouvain)
In 1933, Prandtl proposed a second and superior optimal wing, also much closer to what birds do: the wing with minimum induced drag for fixed lift and fixed amount of structural material. The obtained lift distribution is then bell shaped (not elliptical as the 1922 optimal wing). This design has regained much interest, also by NASA. As the distribution has a zero slope at the wing tip, the near wake doesn’t display a tip vortex. There is also an upwash velocity in the near tip region, which allows for efficient maneuvers without vertical tail. For a chosen geometry (here a linearly tapered wing) and cruise lift coefficient (here 0.4), the twist distribution is then tailored to obtain the desired lift distribution. A wing model was designed, built and tested in a small wind tunnel. The near wake was measured at stations downstream using PIV. It is seen that the near wake doesn’t really roll up. Hence, the lift distribution can also be recovered by integrating near field PIV measurements. PIV results will be shown at cruise condition and also at off-design (from -0.1 to 0.6). The recovered lift distribution will also be compared to that provided by the lifting line theory. Results of a near wake simulation performed using the 3-D Vortex Particle-Mesh method will also be presented.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.G16.1
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