Particle Swarm Optimization of Suction and Blowing on Airfoils at Transonic Speeds

摘要

To improve the aerodynamic performance, the control applied to the transonic flow past an airfoil is optimized.nThe flow is simulated by solving the Navier–Stokes equations and a turbulence model. The control is applied usingnflow suction or blowing on the airfoil surface. The design variables are set to be the location and the angle of thensuction/blowing port and themass flowcoefficient at this port.To validate the computationalmethodology, successfulncomparisons have beenmadewith available experimental data.The focus of the present study is on the application ofna selected design optimization methodology. Therefore, the particle swarm optimization algorithm is also validatednby comparing its results with those from a more traditional approach: that is, a gradient-based method withnsequential quadratic programming. It is observed that the aerodynamic performance is increased by over 20%as anresult of optimizing the location, angle, and mass flow coefficient of the suction and blowing control ports on thenairfoil surface at transonic speeds.