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An airfoil was parameterized using the Class-Shape Transformation technique and then optimized via Genetic Algorithm. The aerodynamic characteristics of the airfoil were obtained with the use of a computational fluid dynamics software. The automated numerical technique was validated using available experimental data and then the optimization procedure was repeated for few different turbulence models. The obtained optimized airfoils were then compared in order to gain some insight on the influence of the different turbulence models on the optimization result.
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