Quantifying Flow separation for ellipse and von-Kármán Airfoil: A dataset of surface pressure and skin friction

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Hauptverfasser: Winther, Christian Bak, Ammundsen, Peter, Aschmoneit, Fynn Jerome
Format: Preprint
Veröffentlicht: 2026
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author Winther, Christian Bak
Ammundsen, Peter
Aschmoneit, Fynn Jerome
author_facet Winther, Christian Bak
Ammundsen, Peter
Aschmoneit, Fynn Jerome
contents Steady-state RANS simulations are reported for 2D flow around an ellipse and a von-Kármán-Trefftz airfoil at seven different angles of attack and two different Reynolds numbers, computed using the $k ωSST$ turbulence model in OpenFOAM. The dataset contains surface pressure distribution, skin friction distribution, lift and drag coefficients, stagnation point location and separation point locations. The results serve as a benchmark for calibration and evaluation of extended potential flow models.
format Preprint
id arxiv_https___arxiv_org_abs_2604_06913
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantifying Flow separation for ellipse and von-Kármán Airfoil: A dataset of surface pressure and skin friction
Winther, Christian Bak
Ammundsen, Peter
Aschmoneit, Fynn Jerome
Fluid Dynamics
Steady-state RANS simulations are reported for 2D flow around an ellipse and a von-Kármán-Trefftz airfoil at seven different angles of attack and two different Reynolds numbers, computed using the $k ωSST$ turbulence model in OpenFOAM. The dataset contains surface pressure distribution, skin friction distribution, lift and drag coefficients, stagnation point location and separation point locations. The results serve as a benchmark for calibration and evaluation of extended potential flow models.
title Quantifying Flow separation for ellipse and von-Kármán Airfoil: A dataset of surface pressure and skin friction
topic Fluid Dynamics
url https://arxiv.org/abs/2604.06913