456 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 18 Juan Bernardo Sosa Coeto Universidad Autonoma del Estado de Morelos, Mexico Gustavo Urquiza Beltrán Universidad Autonoma del Estado de Morelos, Mexico Juan Carlos García Castrejon Universidad Autonoma del Estado de Morelos, Mexico Laura Lilia Castro Gómez Universidad Autonoma del Estado de Morelos, Mexico Marcelo Reggio Ecole Polythecnique de Montreal, Canada Optimization of the Impeller and Diffuser of Hydraulic Submersible Pump using Computational Fluid Dynamics and Artifcial Neural Networks ABSTRACT Overall performance of hydraulic submersible pump is strongly linked to its geometry, impeller speed and physical properties of the fuid to be pumped. During the design stage, given a fuid and an impeller speed, the pump blades profles and the diffuser shape has to be determined in order to achieve maximum power and effciency. Using Computational Fluid Dynamics (CFD) to calculate pressure and velocity felds, inside the diffuser and impeller of pump, represents a great advantage to fnd regions where the behavior of fuid dynamics could be adverse to the pump performance. Several trials can be run using CFD with different blade profles and different shapes and dimensions of diffuser to calculate the effect of them over the pump performance, trying to fnd an optimum value. However the optimum impeller and diffuser would never be obtained using lonely CFD computations, by this means are necessary the DOI: 10.4018/978-1-4666-0297-7.ch018