Abstract
A simulation-based optimization scheme for gas turbine cascades is developed and is implemented using Computational Fluid Dynamics (CFD) for the flow simulation coupled with Genetic Algorithm (GA), Simulated Annealing (SA) and Artificial Neural Networks (ANN) for the optimization process. It is parallelized and tested for a cascade of compressor blades with the goal of improving their aerodynamic performance over their entire operating range by properly reshaping their profile, which is parameterized using a NURBS approximation. The validity and effectiveness of the developed optimization method is demonstrated on the redesign of a compressor rotor.
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