This paper presents an efficient genetic algorithm based methodology for robust design that produces compressor fan blades tolerant against erosion. A novel geometry modeling method is employed to create eroded compressor fan blade sections. A multigrid Reynolds-Averaged Navier Stokes (RANS) solver HYDRA with Spalart Allmaras turbulence model is used for CFD simulations to calculate the pressure losses. This is used in conjunction with Design of Experiment techniques to create Gaussian stochastic process surrogate models to predict the mean and variance of the performance. The Non-dominated Sorting Genetic Algorithm (NSGA-II) is employed for the multiobjective optimization to find the global Pareto-optimal front. This enables the designer to trade off between mean and variance of performance to propose robust designs.

Volume Subject Area:
31st Design Automation Conference
Topics:
Blades, Compressors, Design methodology, Design, Genetic algorithms, Computational fluid dynamics, Engineering simulation, Erosion, Geometry, Modeling, Pareto optimization, Pressure, Reynolds-averaged Navier–Stokes equations, Simulation, Stochastic processes, Tradeoffs, Turbulence
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Copyright © 2005
 by ASME
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