An optimization process is employed to improve the performance of an industrial radial flow pump impeller. A hybrid optimization scheme is coupled to a cost effective potential flow solver that computes the flow through the blade channel. The impeller geometry is parameterized to reproduce variations over a wide design space and the objective function is evaluated at each iteration to account for the performance of each candidate blade. The concept of the hybrid approach is to employ a global stochastic optimization method for the diversification of the design space and a deterministic local method for efficiently intensifying the search towards the optimum. The trend of computer industry to multi-core processors is a promising platform for population based optimization methods and even on a quad core the timescales needed to solve the problem with the proposed methodology are reasonable. Results present an optimised impeller with improved performance but also a clear trade-off among contradictory design objectives.
Optimization of a Centrifugal Pump Impeller: Coupling a Hybrid Stochastic Method to a Potential Flow Solver
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Antonakis, N. "Optimization of a Centrifugal Pump Impeller: Coupling a Hybrid Stochastic Method to a Potential Flow Solver." Proceedings of the ASME 2009 Fluids Engineering Division Summer Meeting. Volume 1: Symposia, Parts A, B and C. Vail, Colorado, USA. August 2–6, 2009. pp. 433-444. ASME. https://doi.org/10.1115/FEDSM2009-78450
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