Abstract
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.
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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.
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.
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.
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.
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.
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.
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.
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.
Bejan A., Kestin J., Bejan A., Entropy generation through heat and fluid flow. Journal of Applied Mechanics, 1983, 50 (2): 475.
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.
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.
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.
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.
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.
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.
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.
Spurk D.I.J.H., Str mungslehre. Berlin: Springer, 1989.
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.
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.
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.
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.
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.
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.
Acknowledgments
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).
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Chang, H., Shi, W., Li, W. et al. Energy Loss Analysis of Novel Self-Priming Pump Based on the Entropy Production Theory. J. Therm. Sci. 28, 306–318 (2019). https://doi.org/10.1007/s11630-018-1057-5
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DOI: https://doi.org/10.1007/s11630-018-1057-5