Abstract
A numerical methodology for hydrodynamic design in centrifugal pumps is developed and tested, considering the possibility to increase the hydraulic efficiency of the pump impeller by improving the blades shape. The simulation and analysis of the incompressible turbulent flow through the test impeller is performed with a commercial CFD code, and the numerical results are in agreement with the corresponding measurements in a laboratory pump impeller. A parametric study is carried out to examine the influence of some blade design parameters on the performance and the efficiency of the impeller, like the blade length, the inlet height, and the leading edge inclination. The values of the above parameters that maximize the hydraulic efficiency of the impeller are then derived by a multiparametric optimization methodology, using a stochastic evolutionary algorithm software. The optimal impeller design exhibits a remarkable efficiency increase compared to the initial impeller design.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Hornsby, C.: CFD – Driving pump design forward. World Pumps, pp. 18–22 (2002)
Zhang, M.J., Gu, C.G., Miao, Y.M.: Numerical study of the internal flow field of a centrifugal impeller. ASME Paper 94-GT-357 (1994)
Majidi, K.: Numerical study of unsteady flow in a centrifugal pump. ASME Journal of Turbomachinery 127, 363–371 (2005)
Anagnostopoulos, J.: CFD analysis and design effects in a radial pump impeller. WSEAS Trans. On Fluid Mechanics 7(1), 763–770 (2006)
Giannakoglou, K.C.: Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence. Progress in Aerospace Sciences 38, 43–76 (2002)
Cao, S., Peng, G., Yu, Z.: Hydrodynamic design of rotodynamic pump impeller for multiphase pumping by combined approach of inverse design and CFD analysis. ASME Transactions, Journal of Fluids Engineering 127, 330–338 (2005)
Asuaje, M., Bakir, F., Kouidri, S., Rey, R.: Inverse design method for centrifugal impellers and comparison with numerical simulation tools. International Journal for Computational Fluid Dynamics 18(2), 101–110 (2004)
Wahba, W., Tourlidakis, A.: A Parallel Genetic Algorithm Applied to the Design of Blade Profiles for Centrifugal Pump Impellers. American Institute of Aeronautics & Astronautics (1998)
Visser, F., Dijkers, R., Woerd, J.: Numerical flow-field analysis and design optimization of a high-energy first-stage centrifugal pump impeller. Computing and Visualization in Science 3, 103–108 (2000)
Grapsas, V., Mentzos, M., Anagnostopoulos, J., Filios, A., Margaris, D., Papantonis, D.: Experimental and Computational Study of Radial Flow Pump Impeller. In: Proceedings 2nd IC-SCCE, Athens, Greece (2006)
Grapsas, V., Anagnostopoulos, J., Papantonis, D.: Parametric Study and Design Optimization of Radial Flow Pump Impeller by Surface Parameterization. In: Proceedings 2nd IC-SCCE, Athens, Greece (2006)
Grapsas, V., Anagnostopoulos, J., Papantonis, D.: Hydrodynamic Design of Radial Flow Pump Impeller by Surface Parameterization. In: Proceedings 1st IC-EpsMsO, Athens, Greece (2005)
Sun, J., Tsukamoto, H.: Off-design performance prediction for diffuser pump. Journal of Power and Energy 215, 191–201 (2001)
Gonzalez, J., Fernandez, J., Blanco, E., Santlaria, C.: Numerical Simulation of the dynamic effects due to impeller-volute interaction in a centrifugal pump. ASME Journal of Fluids Engineering 125, 348–355 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Grapsas, V., Stamatelos, F., Anagnostopoulos, J., Papantonis, D. (2008). Numerical Study and Optimal Blade Design of a Centrifugal Pump by Evolutionary Algorithms. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-85565-1_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85564-4
Online ISBN: 978-3-540-85565-1
eBook Packages: Computer ScienceComputer Science (R0)