Large Eddy Simulation of optimal Synthetic Jet Actuation on a SD7003 airfoil in post-stall conditions

Aerodynamic performances may be optimised by the appropriate tuning of Active Flow Control (AFC) parameters. For first time, we couple Genetic Algorithms (GA) with an unsteady Reynolds-Averaged Navier-Stokes (RANS) solver using Spalart-Allmaras (SA) turbulence model to maximise lift and aerodynamic efficiency airfoil in stall conditions [1], then validate resulting set optimal Synthetic Jet Actuator (SJA) parameters against well-resolved three-dimensional Large Eddy Simulation (LES). The considered is SD7003, at Reynolds number Re=6×104 post-stall angle attack ?=14?. We find that, although SA-RANS not quite as accurate LES, it can still predict macroscopic aggregates such drag coefficients, provided free-stream prescribed reasonable values. sensitivity found particularly critical for SJA cases. Baseline LES simulation agrees well literature results, while RANS-SA would seem remain a valid certain degree. optimally actuated cases, our predicts far better than obtained suboptimal computations reported other authors [2] same airfoil, Re ?, which illustrates applicability effectiveness optimisation technique applied, despite less yet computationally faster SA-RANS. flow topology wake dynamics baseline cases are thoroughly compared elucidate mechanism whereby enhanced.