Journal of Thermal Science

, Volume 28, Issue 2, pp 306–318 | Cite as

Energy Loss Analysis of Novel Self-Priming Pump Based on the Entropy Production Theory

  • Hao Chang
  • Weidong ShiEmail author
  • Wei LiEmail author
  • Jianrui Liu


The conventional method cannot explicitly confirm the location and type of the energy loss, therefore this paper employs the entropy production theory to systematically analyze the category, magnitude and location of hydraulic loss under different blade thickness distribution. Based on the analysis, the turbulent entropy and viscosity entropy produced by the separation of boundary layer at the trialing edge are major factors leading to the hydraulic loss. In addition, the separation of the boundary layer can not only cause the energy loss, but also block the passage of the impeller and reduce the expelling coefficient of the blade. Therefore, the hydraulic performance of the blades with increment thickness distribution is obviously better than the decrement one. Further, the flow rate has different influence on the three types of entropy production. Meanwhile, the pressure pulsation on the working surface was investigated. It was concluded that with flow rates increasing, the amplitude of pressure pulsation firstly decreases and then smoothly improves, and reaches the minimum under design flow rate. Finally, the optimal blade was obtained, and the relevant hydraulic performance test was performed to benchmark the simulation result. This research can provide the theoretical reference for designing the reasonable thickness distribution of the blades.


entropy production energy loss thickness distribution pressure pulsation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.



The authors gratefully acknowledge the support from the National Natural Science Foundation of China (No.51679111, No.51409127 and No.51579118), Six Talents Peak Project of Jiangsu Province JNHB-CXTD-005, Natural Science Foundation of Jiangsu Province (BE2016163, BRA2017353 and No.BK20161472), Scientific research project of Jiangsu University (No.17A302), Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) and National Key R&D Program Project (No.2017YFC0403703).


  1. [1]
    Kifle M., Gebremicael T.G., Girmay A., et al., Effect of surge flow and alternate irrigation on the irrigation efficiency and water productivity of onion in the semi-arid areas of North Ethiopia. Agricultural Water Management, 2017, 187: 69–76.CrossRefGoogle Scholar
  2. [2]
    Chen H,, Gao Z,, Zeng W,, et al., Scale Effects of water saving on irrigation efficiency: case study of a rice-based groundwater irrigation system on the Sanjiang plain, Northeast China. Sustainability, 2017, 10(1): 47.CrossRefGoogle Scholar
  3. [3]
    Wang C., Shi W., Wang X., et al., Optimal design of multistage centrifugal pump based on the combined energy loss model and computational fluid dynamics. Applied Energy, 2017, 187: 10–26.CrossRefGoogle Scholar
  4. [4]
    Lim S.E., Chang H.S., CFD analysis of performance change in accordance with inner surface roughness of a double-entry centrifugal pump. Journal of Mechanical Science & Technology, 2018, 32 (2): 697‒702.CrossRefGoogle Scholar
  5. [5]
    Zhang J.Y., Cai S.J., Li Y.J., et al., Optimization design of multiphase pump impeller based on combined genetic algorithm and boundary vortex flux diagnosis. Journal of Hydrodynamics, 2017, 29 (6):1023‒1034.ADSCrossRefGoogle Scholar
  6. [6]
    Wang T., Kong F., Xia B., et al., The method for determining blade inlet angle of special impeller using in turbine mode of centrifugal pump as turbine. Renewable Energy, 2017, 109: 518–528.CrossRefGoogle Scholar
  7. [7]
    Jeon S.Y., Kim C.K., Lee S.M., et al., Performance enhancement of a pump impeller using optimal design method. Journal of Thermal Science, 2017, 26 (2): 119‒124.ADSCrossRefGoogle Scholar
  8. [8]
    Li W., Zhao X., Li W., et al., Numerical prediction and Performance experiment in an engine cooling water pump with different blade outlet widths. Mathematical Problems in Engineering, 2017, 2017(6): 1–11.Google Scholar
  9. [9]
    Bejan A., Kestin J., Bejan A., Entropy generation through heat and fluid flow. Journal of Applied Mechanics, 1983, 50 (2): 475.ADSCrossRefGoogle Scholar
  10. [10]
    Li D., Wang H., Qin Y., et al., Entropy production analysis of hysteresis characteristic of a pump-turbine model. Energy Conversion & Management, 2017, 149: 175–191.CrossRefGoogle Scholar
  11. [11]
    Hou H., Zhang Y., Li Z., et al., Numerical analysis of entropy production on a LNG cryogenic submerged pump. Journal of Natural Gas Science & Engineering, 2016, 36: 87–96.CrossRefGoogle Scholar
  12. [12]
    Herwig H., Gloss D., Wenterodt T., A new approach to understanding and modelling the influence of wall roughness on friction factors for pipe and channel flows. Journal of Fluid Mechanics, 2008, 613(613): 35–53.ADSzbMATHGoogle Scholar
  13. [13]
    Kock F., Herwig H., Local entropy production in turbulent shear flows: a high-Reynolds number model with wall functions. International Journal of Heat & Mass Transfer, 2004, 47(10): 2205–2215.CrossRefzbMATHGoogle Scholar
  14. [14]
    Pei J., Meng F., Li Y., et al., Effects of distance between impeller and guide vane on losses in a low head pump by entropy production analysis. Advances in Mechanical Engineering, 2016, 8(11): 1–11.CrossRefGoogle Scholar
  15. [15]
    Wang C., Effect and experiment of different blade thickness on stainless steel stamping well pump performance. Transactions of the Chinese society for agricultural machinery, 2012, 43(7): 94–99.Google Scholar
  16. [16]
    Pinto R.N., Afzal A., D’Souza L.V., et al., Computational fluid dynamics in turbomachinery: a review of state of the art. Archives of Computational Methods in Engineering, 2017, 24(3): 467–479.MathSciNetCrossRefzbMATHGoogle Scholar
  17. [17]
    Spurk D.I.J.H., Str mungslehre. Berlin: Springer, 1989.Google Scholar
  18. [18]
    Gong R.Z., Wang H.J., Chen L.X., et al., Application of entropy production theory to hydro-turbine hydraulic analysis. Science China, 2013, 56(7): 1636–1643.CrossRefGoogle Scholar
  19. [19]
    Zhang X., Wang Y., Xu X., et al., Energy conversion characteristic within impeller of low specific speed centrifugal pump. Transactions of the Chinese Society for Agricultural Machinery, 2011, 42(7): 75–81.Google Scholar
  20. [20]
    Tao Y., Yuan S., Liu J., et al., Influence of blade thickness on transient flow characteristics of centrifugal slurry pump with semi-open impeller. Chinese Journal of Mechanical Engineering, 2016, 29(6): 1–9.ADSGoogle Scholar
  21. [21]
    Zheng L., Dou H.S., Chen X., et al., Pressure fluctuation generated by the interaction of blade and tongue. Journal of Thermal Science, 2018, 27(1): 8–16.ADSCrossRefGoogle Scholar
  22. [22]
    Jia X.Q., Cui B.L., Zhu Z.C., et al., Numerical investigation of pressure distribution in a low specific speed centrifugal pump. Thermal Science, 2018, 27(1): 25–33.ADSCrossRefGoogle Scholar
  23. [23]
    Zhai J., Zhu B., Li K., et al., Internal pressure fluctuation characteristic of low specific speed mixed flow pump. Transactions of the Chinese Society for Agricultural Machinery, 2016, 47(6): 42–46.Google Scholar

Copyright information

© Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Research Center of Fluid Machinery Engineering and TechnologyJiangsu UniversityZhenjiangChina
  2. 2.School of mechanical engineeringNantong UniversityNantongChina

Personalised recommendations