Enhanced Prediction of Three-dimensional Finite Iced Wing Separated Flow Near Stall
Maochao Xiao, Yufei Zhang, Feng Zhou

TL;DR
This study enhances the IDDES turbulence model with a shear layer adapted subgrid length scale to improve the prediction of flow separation and reattachment on iced three-dimensional wings, aligning simulations more closely with experimental data.
Contribution
The paper introduces a shear layer adapted subgrid length scale to improve IDDES predictions of separated flow on iced wings, addressing limitations in resolving Kelvin-Helmholtz instability.
Findings
Improved prediction of separated shear layer (SSL) and reattachment points.
Better agreement of surface pressure distributions with experiments.
More accurate vortex rollup and pairing in instantaneous flow simulations.
Abstract
Icing on three-dimensional wings causes severe flow separation near stall. Standard improved delayed detached eddy simulation (IDDES) is unable to correctly predict the separating reattaching flow due to its inability to accurately resolve the Kelvin-Helmholtz instability. In this study, a shear layer adapted subgrid length scale is applied to enhance the IDDES prediction of the flow around a finite NACA (National Advisory Committee for Aeronautics) 0012 wing with leading edge horn ice. It is found that applying the new length scale contributes to a more accurate prediction of the separated shear layer (SSL). The reattachment occurs earlier as one moves towards either end of the wing due to the downwash effect of the wing tip vortex or the influence of end-wall flow. Consequently, the computed surface pressure distributions agree well with the experimental measurements. In contrast,…
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Taxonomy
TopicsIcing and De-icing Technologies · Arctic and Antarctic ice dynamics · Aerospace Engineering and Energy Systems
