Numerical Prediction and Performance Experiment in an Engine Cooling Water Pump with Different Blade Outlet WidthsReportar como inadecuado




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Mathematical Problems in Engineering - Volume 2017 2017, Article ID 8945712, 11 pages - https:-doi.org-10.1155-2017-8945712

Research ArticleResearch Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, China

Correspondence should be addressed to Wei Li

Received 26 October 2016; Revised 15 January 2017; Accepted 1 March 2017; Published 22 March 2017

Academic Editor: Nicolas Gourdain

Copyright © 2017 Wei Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Changing the blade outlet width is an important method to adjust the performance curves of centrifugal pumps. In this study, three impellers with different blade outlet widths in an engine cooling water pump ECWP were numerically simulated based on ANSYS-CFX software. Numerical calculation reliability was validated based on the comparison between simulation results and experimental datum. As the blade outlet width increases, from the performance curves, the investigated ECWP head increases gradually; and the best efficiency point BEP offsets to larger flow rate; and the high efficiency region HER is becoming larger; and the critical cavitation pressure of the investigated ECWP at BEP increases, which indicates that the cavitation performance at BEP became worse. Compared with the internal flow field, we find vortex appears mainly in the blade passage near the tongue and volute outlet, and the region of the low static pressure is located in the blade inlet suction surface, and impeller inlet and outlet are the regions of high turbulence kinetic energy. Meanwhile, at the same flow rate, with the increase of blade outlet width, the areas of vortex and low static pressure become obvious and bigger.





Autor: Wei Li, Xiaofan Zhao, Weiqiang Li, Weidong Shi, Leilei Ji, and Ling Zhou

Fuente: https://www.hindawi.com/



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