Quantifying Flow separation for ellipse and von-K\'arm\'an Airfoil: A dataset of surface pressure and skin friction

TL;DR

This paper presents a dataset from steady-state RANS simulations of 2D flow around an ellipse and a von-Kármán airfoil, including surface pressure, skin friction, lift, drag, and separation points, for benchmarking purposes.

Contribution

It provides a comprehensive dataset for flow separation and surface forces around these airfoils, aiding calibration and evaluation of potential flow models.

Findings

Dataset includes pressure and skin friction distributions at multiple angles and Reynolds numbers.

Results serve as a benchmark for flow separation and force predictions.

Simulations use the $k extomega$ SST turbulence model in OpenFOAM.

Abstract

Steady-state RANS simulations are reported for 2D flow around an ellipse and a von-K\'arm\'an-Trefftz airfoil at seven different angles of attack and two different Reynolds numbers, computed using the $k \omega SST$ 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.