Optimization method for turbine airfoil designing using genetic algorithms — CFD and parallel computing

An optimization method to design turbine airfoils using a Genetic Algorithm • GA design shell coupled directly with a viscous CFD Computational Fluid Dynamics analysis code is proposed in this paper. The blade geometry is parameterized and the optimization method is used to search for a blade geometry that will minimize the loss in the turbine cascade passage. The viscous flow prediction code is verified by the experimental data of cascade which is typical for a gas turbine rotor blade section. A comparative study of the blades designed by the optimization technique and the original one is presented