Shape Optimization of Impeller Blades for a Bidirectional Axial Flow Pump using Polynomial Surrogate Model
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Shape Optimization of Impeller Blades for a Bidirectional Axial Flow Pump using Polynomial Surrogate Model

Authors: I. S. Jung, W. H. Jung, S. H. Baek, S. Kang

Abstract:

This paper describes the shape optimization of impeller blades for a anti-heeling bidirectional axial flow pump used in ships. In general, a bidirectional axial pump has an efficiency much lower than the classical unidirectional pump because of the symmetry of the blade type. In this paper, by focusing on a pump impeller, the shape of blades is redesigned to reach a higher efficiency in a bidirectional axial pump. The commercial code employed in this simulation is CFX v.13. CFD result of pump torque, head, and hydraulic efficiency was compared. The orthogonal array (OA) and analysis of variance (ANOVA) techniques and surrogate model based optimization using orthogonal polynomial, are employed to determine the main effects and their optimal design variables. According to the optimal design, we confirm an effective design variable in impeller blades and explain the optimal solution, the usefulness for satisfying the constraints of pump torque and head.

Keywords: Bidirectional axial flow pump, Impeller blade, CFD, Analysis of variance, Polynomial surrogate model

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1059681

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3719

References:


[1] S. Cao, G. Peng, and Z. Yu, "Hydrodynamic Design of Rotodynamic Pump Impeller for Multiphase Pumping by Combined Approach of Inverse Design and CFD Analysis," ASME J. Fluids Eng., Vol. 127, No. 2, pp. 330-338, 2005.
[2] H. Ding, F. C. Visser, and Y. Jiang, 2011, "Demonstration and Validation of a 3D CFD Simulation Tool Predicting Pump Performance and Cavitation for Industrial Applications," ASME J. Fluids Eng., Vol. 133, No. 1, pp. 011101 (1-14), 2011.
[3] A. J. Stepanoff, Centrifugal and Axial Flow Pumps, John Wiley, 1957.
[4] B. Neumann, The Interaction between Geometry and Performance of a Centrifugal Pump, Mechanical Engineering Publications Ltd.3, pp. 173-193, 1991.
[5] T. Kumaresan, and J. B. Joshi, "Effect of Impeller Design on the Flow Pattern and Mixing in Stirred Tanks," Comput. Fluids, Vol. 115, No. Cavitation for Industrial Applications," ASME J. Fluids Eng., Vol. 133, No. 1, pp. 011101(1-14), 2006.
[6] J. S. Anagnostopoulos, "A Fast Numerical Method for Flow Analysis and Blade Design in Centrifugal Pump Impellers," Comput. Fluids, Vol. 38, No. 2, pp. 284-289, 2009.
[7] Y. B. Lee, Y. B. Lee, M. S. Kim, and D. H. Choi, "Sequential Approximate Optimization Based on a Pure Quadratic Response Surface Method with Noise Filtering," Trans. of the KSME (A), Vol. 29, No. 6, pp. 842~851, 2005.
[8] S. H. Baek, K. M. Kim, S. S. Cho, D. Y. Jang, and W. S. Joo, "A Sequential Optimization Algorithm Using Metamodel-Based Multilevel Analysis," Trans. of the KSME (A), Vol. 33, No. 9, pp. 892-902, 2009.
[9] N. V. Queipo, A. Verde, S. Pintos, and R. T. Haftka, "Assessing the Value of Another Cycle in Gaussian Process Surrogate-based Optimization," Struct. Multidisc. Optim., Vol. 39, No. 4, pp. 459-475, 2009.
[10] Q. Yu, N. Koizumi, H. Yajima, and M. Shiratori, "Optimum Design of Vehicle Frontal Structure and Occupant Restraint System for Crashworthiness (A Multilevel Approach Using SDSS)," JSME Int. J. Ser A, Solid Mech Mater Eng, Vol. 44, No. 4, pp. 594-601, 2001.
[11] S. H. Baek, S. S. Cho, H. S. Kim and W. S. Joo, "Tarde-off Analysis in Multi-objective Optimization Using Chebyshev Orthogonal Polynomials," J. Mech. Sci. Technol., Vol. 20, No. 3, pp. 366-375, 2006.
[12] S. H. Baek, S. S. Cho, and W. S. Joo, "Response Surface Approximation for Fatigue Life Prediction and Its Application to Multi-Criteria Optimization With a Priori Preference Information," Trans. of the KSME (A), Vol. 33, No. 2, pp. 114-126, 2009.
[13] S.H. Baek, S.H. Hong, S.S. Cho, D.Y. Jang, and W.S. Joo, "Optimization of Process Parameters for Recycling of Mill Scale Using Taguchi Experimental Design," J. Mech. Sci. Technol., Vol. 24, No. 10, pp.2127-2134, 2010.
[14] ANSYS CFX, User Manual Release 13, ANSYS Inc, 2011.
[15] T. J. Barth, and D. C. Jesperson, "The Design and Application of Upwind Schemes on Unstructured Meshes," AIAA J., Vol. 89, No. 89-0366, pp. 1-12, 1989.
[16] F. R. Menter, "Two-equation Eddy-viscosity Turbulence Models for Engineering Applications," AIAA J., Vol. 32, No. 8, pp. 1598-1605, 1994.
[17] P. J. Roache, Verification and Validation in Computational Science and Engineering, Hermosa Publishers, Albuquerque, NM, 1998.
[18] M. Meckesheimer, A. J. Booker, R. R. Barton, and T. W. Simpson, "Computationally Inexpensive Metamodel Assessment Strategies," AIAA J., Vol. 40, No. 10, pp. 2053-2060, 2002.
[19] J. J. More, and S. J. Wright, Optimization Software Guide, SIAM Publications, Philadelphia, 1993.
[20] ANSYS, Release 11.0 Documentation, SAS IP, Inc., 2007.
[21] W. Gautschi, Orthogonal Polynomials: Applications and Computations, Acta Numerica, Cambrige University Press, 1996.
[22] S. H. Park, Robust Design and Analysis for Quality Engineering, Chapman & Hall, London, 1996.