Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
권호 표지
DOI QR코드

DOI QR Code

A cavitation performance prediction method for pumps: Part2-sensitivity and accuracy

  • Long, Yun (National Research Center of Pumps, Jiangsu University) ;
  • Zhang, Yan (Marine Design and Research Institute of China) ;
  • Chen, Jianping (Marine Design and Research Institute of China) ;
  • Zhu, Rongsheng (National Research Center of Pumps, Jiangsu University) ;
  • Wang, Dezhong (School of Mechanical Engineering, Shanghai Jiaotong University)
  • Received : 2020.12.08
  • Accepted : 2021.05.20
  • Published : 2021.11.25
Download PDF
⟨ Previous Next ⟩

Abstract

At present, in the case of pump fast optimization, there is a problem of rapid, accurate and effective prediction of cavitation performance. In "A Cavitation Performance Prediction Method for Pumps PART1-Proposal and Feasibility" [1], a new cavitation performance prediction method is proposed, and the feasibility of this method is demonstrated in combination with experiments of a mixed flow pump. However, whether this method is applicable to vane pumps with different specific speeds and whether the prediction results of this method are accurate is still worthy of further study. Combined with the experimental results, the research evaluates the sensitivity and accuracy at different flow rates. For a certain operating condition, the method has better sensitivity to different flow rates. This is suitable for multi-parameter multi-objective optimization of pump impeller. For the test mixed flow pump, the method is more accurate when the area ratios are 13.718% and 13.826%. The cavitation vortex flow is obtained through high-speed camera, and the correlation between cavitation flow structure and cavitation performance is established to provide more scientific support for cavitation performance prediction. The method is not only suitable for cavitation performance prediction of the mixed flow pump, but also can be expanded to cavitation performance prediction of blade type hydraulic machinery, which will solve the problem of rapid prediction of hydraulic machinery cavitation performance.

Keywords

Acknowledgement

This work was funded by the China Postdoctoral Science Foundation Funded Project (Grant No.2019M651734), National Natural Science Foundation of China (Grant No.51906085, No.U20A20292), Jiangsu Province Innovation and Entrepreneurship Doctor Project (2019), Zhejiang Postdoctor Project (2019).

References

  1. L. Yun, Z. Rongsheng, W. Dezhong, A cavitation performance prediction method for pumps PART1-proposal and feasibility, Nuclear Engineering and Technology 52 (11) (2020) 2471-2478. https://doi.org/10.1016/j.net.2020.04.007
  2. Y. Zhao, G. Wang, Y. Jiang, B. Huang, Numerical analysis of developed tip leakage cavitating flows using a new transport-based model, Int. Commun. Heat Mass Tran. 78 (2016) 39-47. https://doi.org/10.1016/j.icheatmasstransfer.2016.08.007
  3. B. Che, N. Chu, S.J. Schmidt, L. Cao, D. Likhachev, D. Wu, Control effect of micro vortex generators on leading edge of attached cavitation, Phys. Fluids 31 (4) (2019), 044102. https://doi.org/10.1063/1.5087700
  4. N. Qiu, W. Zhou, B. Che, D. Wu, L. Wang, H. Zhu, Effects of microvortex generators on cavitation erosion by changing periodic shedding into new structures, Phys. Fluids 32 (10) (2020) 104108. https://doi.org/10.1063/5.0021162
  5. X. Bai, H. Cheng, B. Ji, X. Long, Z. Qian, X. Peng, Comparative Study of different vortex identification methods in a tip-leakage cavitating flow, Ocean. Eng. 207 (2020) 107373. https://doi.org/10.1016/j.oceaneng.2020.107373
  6. S. Xu, X.-p. Long, B. Ji, G.-b. Li, T. Song, Vortex dynamic characteristics of unsteady tip clearance cavitation in a waterjet pump determined with different vortex identification methods, J. Mech. Sci. Technol. 33 (12) (2019) 5901-5912. https://doi.org/10.1007/s12206-019-1135-y
  7. H. Cheng, X. Long, B. Ji, X. Peng, M. Farhat, A new Euler-Lagrangian cavitation model for tip-vortex cavitation with the effect of non-condensable gas, Int. J. Multiphas. Flow 134 (2020) 103441. https://doi.org/10.1016/j.ijmultiphaseflow.2020.103441
  8. Y. Long, C. Han, B. Ji, X. Long, Y. Wang, Verification and validation of large eddy simulations of turbulent cavitating flow around two marine propellers with emphasis on the skew angle effects, Appl. Ocean Res. 101 (2020) 102167. https://doi.org/10.1016/j.apor.2020.102167
  9. C.-z. Han, S. Xu, H.-y. Cheng, B. Ji, Z.-y. Zhang, LES method of the tip clearance vortex cavitation in a propelling pump with special emphasis on the cavitation-vortex interaction, J. Hydrodyn. (2020) 1-5.
  10. C.-c. Wang, Y. Liu, J. Chen, F.-y. Zhang, B. Huang, G.-y. Wang, Cavitation vortex dynamics of unsteady sheet/cloud cavitating flows with shock wave using different vortex identification methods, J. Hydrodyn. 31 (3) (2019) 475-494. https://doi.org/10.1007/s42241-019-0043-z
  11. Z. Yanan, W. Zhiying, W. Guoyu, Ventilated cavitating flow over a bluff body with special emphasis on the vortex-cavitation interaction, Ocean. Eng. 217 (2020) 107925. https://doi.org/10.1016/j.oceaneng.2020.107925
  12. D. Zhang, L. Shi, W. Shi, R. Zhao, H. Wang, B.P.M.V. Esch, Numerical analysis of unsteady tip leakage vortex cavitation cloud and unstable suction-side-perpendicular cavitating vortices in an axial flow pump, Int. J. Multiphas. Flow 77 (2015) 244-259, https://doi.org/10.1016/j.ijmultiphaseflow.2015.09.006.
  13. D. Zhang, L. Shi, R. Zhao, W. Shi, Q. Pan, B.P.M.B.V. Esch, Study on unsteady tip leakage vortex cavitation in an axial-flow pump using an improved filter-based model, J. Mech. Sci. Technol. 31 (2) (2017) 659-667, https://doi.org/10.1007/s12206-017-0118-0.
  14. D. Zhang, W. Shi, B.P.M.V. Esch, L. Shi, M. Dubuisson, Numerical and experimental investigation of tip leakage vortex trajectory and dynamics in an axial flow pump, Comput. Fluids 112 (1) (2015) 61-71, https://doi.org/10.1016/j.compfluid.2015.01.010.
  15. D. Tan, Y. Li, I. Wilkes, E. Vagnoni, R.L. Miorini, J. Katz, Experimental investigation of the role of large scale cavitating vortical structures in performance breakdown of an axial waterjet pump, J. Fluid Eng. 137 (11) (2015) 317-320, https://doi.org/10.1115/1.4030614.
  16. L.L. Cao, B.X. Che, L.J. Hu, D.Z. Wu, Design method of water jet pump towards high cavitation performances 129 (1) (2016), 012067.
  17. J. Katz, Cavitation phenomena within regions of flow separation, J. Fluid Mech. 140 (140) (1984) 397-436, https://doi.org/10.1017/S0022112084000665.
  18. K.R. Laberteaux, S.L. Ceccio, V.J. Mastrocola, J.L. Lowrance, High speed digital imaging of cavitating vortices, Exp. Fluid 24 (5) (1998) 489-498, https://doi.org/10.1007/s003480050198.
  19. D. Li, Y. Qin, Z. Zuo, H. Wang, S. Liu, X. Wei, Numerical Simulation on Pump Transient Characteristic in a Model Pump Turbine, J. Fluid. Eng. 141 (11) (2019) 111101, https://doi.org/10.1115/1.4043496. FE-18-1296.
  20. N. Zhang, X. Liu, B. Gao, X. Wang, B. Xia, Effects of modifying the blade trailing edge profile on unsteady pressure pulsations and flow structures in a centrifugal pump, Int. J. Heat Fluid Flow 75 (2019) 227-238. https://doi.org/10.1016/j.ijheatfluidflow.2019.01.009
  21. N. Zhang, X. Liu, B. Gao, B. Xia, DDES analysis of the unsteady wake flow and its evolution of a centrifugal pump, Renew. Energy 141 (2019) 570-582. https://doi.org/10.1016/j.renene.2019.04.023
  22. C.E. Brennen, Hydrodynamics of Pumps, Cambridge University Press, 2011.

Cited by

  1. Assessment of Cavitation Erosion in a Water-Jet Pump Based on the Erosive Power Method vol.2021, 2021, https://doi.org/10.1155/2021/5394782