Active flow control optimisation on SD7003 airfoil at pre and post-stall angles of attack using synthetic jets

The use of Active Flow Control (AFC) technologies to modify the forces acting on streamlined bodies is one most active research fields in aerodynamics. For each particular application, finding optimum set AFC parameters which maximises lift, minimises drag or lift-to-drag ratio (aerodynamic efficiency), has become a necessary design requirement. In present paper, technology was applied Selig-Donovan 7003 (SD7003) airfoil at Reynolds number 6×104. Synthetic jets were employed lift and airfoil. Four angles attack (AoA) 4∘, 6∘, 8∘ 14∘ considered, alongside five parameters: jet position, width, momentum coefficient, forcing frequency inclination angle. A multi objective optimisation based genetic algorithms (GA) performed for angle find combination parameters. Each GA generation simulated using Computational Fluid Dynamics (CFD). home-made package linked with mesh generator CFD solver, results automatically fed back code. Over 2200 simulations two dimensions, Spalart-Allmaras turbulent model. motivation behind current study understand dependence AoA. Results show that, as AoA increased, potential benefits more pronounced, allows considerable improvement aerodynamic efficiency. physics involved interaction between main flow synthetic are clearly presented clarifies that physical phenomenon obtain maximum efficiency completely different pre-stall post-stall particular, increased by 251% from baseline (no actuation) moderate/finite coefficient AoA=14∘, while mere 39% increase obtained AoA=8∘. addition, incoming pulsating injection been thoroughly investigated.