Abstract
This investigation focuses on the application of the computational fluid dynamics tool FLUENT to the study of flows over the NACA 63–415 airfoil at various angles of attack. With the aim of selecting the most suitable turbulence model to simulate flow around ice-accreted airfoils, this work concentrates on assessing the prediction capabilities of various turbulence models on clean airfoils at the large angles of attack that cause highly separated flows to occur. The study was undertaken by conducting simulations with the one-equation Spalart-Allmaras (SA) model, the two-equation RNGk-ϵand SSTk-ωmodels, and the Reynolds stress model (RSM). Domain discretization was carried out using general quadrilateral grids generated with GAMBIT, the FLUENT preprocessing tool. Comparisons were made with available experimental data.
Highlights
Today, the worldwide concern for the environment can be expressed as a huge need for low entropy production during energy transformation processes
At the second grid level (80 000 cells), the aerodynamic parameters calculated after the RNG k- and SA models were applied showed no further variation, while slight differences remained following the application of SST k-ω
The methodology was based on the application of the commercial program FLUENT
Summary
The worldwide concern for the environment can be expressed as a huge need for low entropy production during energy transformation processes. The formation of ice on the wind turbine blades is one of the main concerns, as ice-induced roughness on the blades reduces lift and increases drag This results in production losses that should be quantified, in order to obtain a picture of how much there is to be gained from the development of technologies designed to prevent ice accretion in cold regions. The 2D steady-state results on the NACA 63-415 airfoil are compared to data provided by the RISO National Laboratory [9] This recognized research center carries out wind tunnel testing and performs CFD calculations by applying their own code, EllipSys2D, to study and improve the efficiency of wind turbine blades
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