A methodology for designing pumps to meet multi-objective design criteria is presented. The method combines a 3D inviscid inverse design method with a multi-objective genetic algorithm to design pumps which meet various aerodynamic and geometrical requirements. The parameterization of the blade shape through the blade loading enables 3D optimization with very few design parameters. A generic pump stage is used to demonstrate the proposed methodology. The main design objectives are improving cavitation performance and reducing leading edge sweep. The optimization is performed subject to certain constraints on Euler head, throat area, thickness and meridional shape so that the resulting pump can meet both design and off-design conditions. A Pareto Front is generated for the two objective functions and 3 different configurations on the Pareto front are selected for detailed study by 3D RANS code. The CFD results confirm the main outcomes of the optimization process.

Volume Subject Area:
Sixth International Symposium on Pumping Machinery
Topics:
Design, Pareto optimization, Pumps, Optimization, Blades, Shapes, Cavitation, Computational fluid dynamics, Design methodology, Genetic algorithms, Performance, Reynolds-averaged Navier–Stokes equations
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Copyright © 2009
 by ASME
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