Abstract
The present study focuses on the impact of grid for accurate prediction of the MEXICO rotor under stalled conditions. Two different blade mesh topologies, O and C-H meshes, and two different grid resolutions are tested for several time step sizes. The simulations are carried out using Delayed detached-eddy simulation (DDES) with two eddy viscosity RANS turbulence models, namely Spalart-Allmaras (SA) and Menter Shear stress transport (SST) k-ω. A high order spatial discretization, WENO (Weighted essentially nonoscillatory) scheme, is used in these computations. The results are validated against measurement data with regards to the sectional loads and the chordwise pressure distributions. The C-H mesh topology is observed to give the best results employing the SST k-ω turbulence model, but the computational cost is more expensive as the grid contains a wake block that increases the number of cells.
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Recommended by Associate Editor Donghyun You
Galih Bangga is currently working as a Researcher at the Institute of Aerodynamics and Gas Dynamics, University of Stuttgart, Germany. His research interests include wind turbine aerodynamics, flow separation and airfoil design.
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Bangga, G., Weihing, P., Lutz, T. et al. Effect of computational grid on accurate prediction of a wind turbine rotor using delayed detached-eddy simulations. J Mech Sci Technol 31, 2359–2364 (2017). https://doi.org/10.1007/s12206-017-0432-6
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DOI: https://doi.org/10.1007/s12206-017-0432-6