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Journal of Aircraft
Article . 2016
License: taverne
https://doi.org/10.2514/6.2016...
Article . 2016 . Peer-reviewed
Data sources: Crossref
Journal of Aircraft
Article . 2016 . Peer-reviewed
Data sources: Crossref
TU Delft Repository
Conference object . 2016
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Improving Airfoil Drag Prediction

Authors: Ozdemir, H.; Ramanujam, G.; Hoeijmakers, H.W.M.;

Improving Airfoil Drag Prediction

Abstract

An improved formulation of drag estimation for thick airfoils is presented. Drag underprediction in XFOIL-like viscous-inviscid interaction methods can bequite significant for thick airfoils usedinwind turbine applications (up to 30%, as seen in the present study). The improved drag formulation predicts the drag accurately for airfoils with reasonably small trailing-edge thicknesses. The derivation of drag correction is based on the difference between the actual momentum loss thickness based on freestream velocity and that based on the velocity at the edge of the boundary layer. The improved formulation is implemented in the most recent versions of XFOIL and RFOIL (an aerodynamic design and analysis method basedonXFOIL, developedbyaconsortiumofthe Energy Research Centre of the Netherlands, The National Aerospace Laboratory/NLR, and the Delft University of Technology after the Energy Research Centre of the Netherlands acquired the XFOIL code; after 1996, the Energy Research Centre of the Netherlands maintained and improved the tool), and the results are compared with experimental data, results from commercial computational fluid dynamics methods like ANSYS CFX, as well as other methods like the Technical University of Denmark Aeroelastic Design Section (AED)'s EllipSys2D and the National Renewable Energy Centre (CENER)'s Wind Multiblock. The improved version of RFOIL shows good agreement with the experimental data.

Country
Netherlands
Keywords

2023 OA procedure, SDG 7 - Affordable and Clean Energy

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
hybrid