Skip to main content

Advertisement

SpringerLink
Log in

The Dynamic Evolution of Cavitation Vacuolar Cloud with High-Speed Camera

  • Research Article-Physics
  • Published:
Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

The dynamic model of a single cavitation bubble in the submerged cavitation water jet was established and solved by MATLAB to obtain its motion characteristics and pressure pulse change rules. Numerical simulation based on FLUENT to closer wall, empty bubble breaking form then influences the law of mechanics effect, with the increase in empty bubble, and the breaking time is reduced, but the maximum jet velocity and pressure increase gradually, on the mechanism of action of the solid wall by the fact that the combination of microfluidic and shock wave gradually plays a leading role, while plastic deformation and basic cavitation erosion are avoided. The maximum pressure and maximum jet velocity increase little, and the collapse time of cavitation is reduced. By comparing the grayscale images of the two combinations of jets, it can be found that the brightness of the vacuolar clouds in diameter (d) = 1.6 mm and pressure (P) = 15 MPa is slightly less than that in d = 1.2 mm and P = 30 MPa, indicating that the density of the vacuolar clouds and the dispersion is relatively high, while the increase in nozzle diameter leads to the increase in flow rate, which increases the shear layer of high-speed submerged jet in a static water. The pressure pulse generated by cavitating water jet hollow bubble failure is far greater than the linear superposition value of a single cavitation bubble. But the high-pressure shock wave value on the fixed wall and water hammer pressure are generated by microjet. The conclusion is also corresponding to the simulation results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Fujisawa, N.; Kikuchi, T.; Fujisawa, K.; Yamagata, T.: Time-resolved observations of pit formation and cloud behavior in cavitating jet. Wear 386–387, 99–105 (2017)

    Article  Google Scholar 

  2. Fujisawa, N.; Fujita, Y.; Yanagisawa, K.; Fujisawa, K.; Yamagata, T.: Simultaneous observation of cavitation collapse and shock wave formation in cavitating jet. Exp. Thermal Fluid Sci. 94, 159–167 (2018)

    Article  Google Scholar 

  3. Hutli, E.A.F.; Nedeljkovic, M.S.: Frequency in shedding/discharging cavitation clouds determined by visualization of a submerged cavitating jet. J. Fluids Eng. 130, 021304-021304-8 (2008)

    Article  Google Scholar 

  4. Gavaises, M.; Villa, F.; Koukouvinis, P.; Marengo, M.; Franc, J.-P.: Visualisation and les simulation of cavitation cloud formation and collapse in an axisymmetric geometry. Int. J. Multiph. Flow 68, 14–26 (2015)

    Article  Google Scholar 

  5. Soyama, H.; Yamauchi, Y.; Adachi, Y.; Sato, K.; Shindo, T.; Oba, R.: High-speed observations of the cavitation cloud around a high-speed submerged water jet. JSME Int. J. Ser. B Fluids Therm. Eng. 38, 245–251 (1995)

    Article  Google Scholar 

  6. Watanabe, R.; Yanagisawa, K.; Yamagata, T.; Fujisawa, N.: Simultaneous shadowgraph imaging and acceleration pulse measurement of cavitating jet. Wear 358–359, 72–79 (2016)

    Article  Google Scholar 

  7. Gopalan, S.; Katz, J.: Flow structure and modeling issues in the closure region of attached cavitation. Phys. Fluids 12, 895–911 (2000)

    Article  Google Scholar 

  8. Ganesh, H.; Mäkiharju, S.A.; Ceccio, S.L.: Interaction of a compressible bubbly flow with an obstacle placed within a shedding partial cavity. In: Journal of Physics: Conference Series, p. 012151 (2015).

  9. Soyama, H.: Effect of nozzle geometry on a standard cavitation erosion test using a cavitating jet. Wear 297, 895–902 (2013)

    Article  Google Scholar 

  10. Hutli, E.A.F.; Nedeljkovic, M.: Frequency in shedding/discharging cavitation clouds determined by visualization of a submerged cavitating jet. J. Fluids Eng. 130, 021304 (2008)

    Article  Google Scholar 

  11. Petkovšek, M.; Dular, M.: Simultaneous observation of cavitation structures and cavitation erosion. Wear 300, 55–64 (2013)

    Article  Google Scholar 

  12. Dular, M.; Bachert, B.; Stoffel, B.; Širok, B.: Relationship between cavitation structures and cavitation damage. Wear 257, 1176–1184 (2004)

    Article  Google Scholar 

  13. Moffat, R.J.: Describing the uncertainties in experimental results. Exp. Thermal Fluid Sci. 1, 3–17 (1988)

    Article  Google Scholar 

  14. Yamaguchi, A.; Shimizu, S.: Erosion due to impingement of cavitating jet. J. Fluids Eng. 109, 442–447 (1987)

    Article  Google Scholar 

  15. Stanley, C.; Barber, T.; Rosengarten, G.: Re-entrant jet mechanism for periodic cavitation shedding in a cylindrical orifice. Int. J. Heat Fluid Flow 50, 169–176 (2014)

    Article  Google Scholar 

  16. Watanabe, R.; Kikuchi, T.; Yamagata, T.; Fujisawa, N.: Shadowgraph imaging of cavitating jet. J. Flow Control Meas. Vis. 3, 106–110 (2015)

    Article  Google Scholar 

  17. Arndt, R.E.A.: Vortex cavitation. In: Green, S.I. (ed.) Fluid Vortices, pp. 731–782. Springer, Dordrecht (1995)

    Chapter  Google Scholar 

  18. Wang, Y.; Ye, B.; Wang, J.; Huang, C.: Re-entry jet and shock induced cavity shedding in cloud cavitating flow around an axisymmetric projectile. In: ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. (2018). https://doi.org/10.1115/FEDSM2018-83200

  19. Bai, L.; Chen, X.; Zhu, G.; Xu, W.; Lin, W.; Wu, P.; et al.: Surface tension and quasi-emulsion of cavitation bubble cloud. Ultrason. Sonochem. 35, 405–414 (2017)

    Article  Google Scholar 

  20. Nishimura, S.; Takakuwa, O.; Soyama, H.: Similarity law on shedding frequency of cavitation cloud induced by a cavitating jet. J. Fluid Sci. Technol. 7, 405–420 (2012)

    Article  Google Scholar 

  21. Kozubková, M.; Rautová, J.; Bojko, M.: Mathematical model of cavitation and modelling of fluid flow in cone. Procedia Eng. 39, 9–18 (2012)

    Article  Google Scholar 

  22. Zhang, K.; Zhu, X.; Ren, X.; Qiu, Q.; Shen, S.: Numerical investigation on the effect of nozzle position for design of high performance ejector. Appl. Thermal Eng. 126, 594–601 (2017)

    Article  Google Scholar 

  23. Popovici, C.G.: HVAC system functionality simulation using ANSYS-Fluent. Energy Procedia 112, 360–365 (2017)

    Article  Google Scholar 

  24. Marchelli, F.; Moliner, C.; Bosio, B.; Arato, E.: A CFD-DEM sensitivity analysis: the case of a pseudo-2D spouted bed. Powder Technol 353, 409–425 (2019)

    Article  Google Scholar 

  25. Zhang, S.; Li, X.; Zhu, Z.: Numerical simulation of cryogenic cavitating flow by an extended transport-based cavitation model with thermal effects. Cryogenics 92, 98–104 (2018)

    Article  Google Scholar 

  26. Hidalgo, V.; Luo, X.-W.; Escaler, B.Ji; Aguinaga, A.: Implicit large eddy simulation of unsteady cloud cavitation around a plane-convex hydrofoil. J. Hydrodyn. Ser. B 27, 815–823 (2015)

    Article  Google Scholar 

  27. Singhal, C.; Murtaza, Q.; Parvej, : Simulation of critical velocity of cold spray process with different turbulence models. Mater. Today Proc. 5, 17371–17379 (2018)

    Article  Google Scholar 

  28. Meyer, J.P.; Everts, M.; Coetzee, N.; Grote, K.; Steyn, M.: Heat transfer coefficients of laminar, transitional, quasi-turbulent and turbulent flow in circular tubes. Int. Commun. Heat Mass Transf. 105, 84–106 (2019)

    Article  Google Scholar 

  29. Luo, X.-L.: A second-order pseudo-transient method for steady-state problems. Appl. Math. Comput. 216, 1752–1762 (2010)

    MathSciNet  MATH  Google Scholar 

  30. Shukla, S.K.; Shukla, P.; Ghosh, P.: Evaluation of numerical schemes using different simulation methods for the continuous phase modeling of cyclone separators. Adv. Powder Technol. 22, 209–219 (2011)

    Article  Google Scholar 

  31. Li, D.; Zha, W.; Liu, S.; Wang, L.; Lu, D.: Pressure transient analysis of low permeability reservoir with pseudo threshold pressure gradient. J. Pet. Sci. Eng. 147, 308–316 (2016)

    Article  Google Scholar 

  32. Marcon, A.; Melkote, S.N.; Castle, J.; Sanders, D.G.; Yoda, M.: Effect of jet velocity in co-flow water cavitation jet peening. Wear 360–361, 38–50 (2016)

    Article  Google Scholar 

  33. Watanabe, R.; Gono, T.; Yamagata, T.; Fujisawa, N.: Three-dimensional flow structure in highly buoyant jet by scanning stereo PIV combined with POD analysis. Int. J. Heat Fluid Flow 52, 98–110 (2015)

    Article  Google Scholar 

  34. Watanabe, R.; Kikuchi, T.; Yamagata, T.; Fujisawa, N.: Shadowgraph imaging of cavitating jet. J. Flow Control Meas. Vis. 03, 106 (2015)

    Article  Google Scholar 

  35. Oudheusden, B.; Scarano, F.; Van Hinsberg, N.; Watt, D.: Phase-resolved characterization of vortex shedding in the near wake of a square-section cylinder at incidence. Exp. Fluids 39, 86–98 (2005)

    Article  Google Scholar 

  36. Arabnejad, M.H.; Amini, A.; Farhat, M.; Bensow, R.E.: Numerical and experimental investigation of shedding mechanisms from leading-edge cavitation. Int. J. Multiph. Flow 119, 123–143 (2019)

    Article  MathSciNet  Google Scholar 

  37. Adrian, R.; Hanratty, T.J.: Large-scale modes of turbulent channel flow: transport and structure. J. Fluid Mech. 448, 53–80 (2001)

    Article  Google Scholar 

  38. Lu, Y.-Y.; Liu, Y.; Li, X.-H.; Kang, Y.; Zhao, J.-X.: Numerical simulation on turbulent flow field in convergent-divergent nozzle. J. Coal Sci. Eng. (China) 15, 434 (2009)

    Article  Google Scholar 

Download references

Acknowledgements

The authors are grateful to the project supported by the Natural Science Foundation of China (NSFC, 51575245), Major Research Program of Jiangsu Province (BE2016161), Cultivation project for Academic Leader of Jiangsu Province ([2014] 23) and the members of cavitation research team in Jiangsu Mechanical department for the helpful comments on this work.

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, People’s Republic of China

    Joseph Sekyi-Ansah, Yun Wang, Zhongrui Tan, Jun Zhu & Fuzhu Li

Authors
  1. Joseph Sekyi-Ansah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yun Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhongrui Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jun Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fuzhu Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yun Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sekyi-Ansah, J., Wang, Y., Tan, Z. et al. The Dynamic Evolution of Cavitation Vacuolar Cloud with High-Speed Camera. Arab J Sci Eng 45, 4907–4919 (2020). https://doi.org/10.1007/s13369-019-04329-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13369-019-04329-0

Keywords

Search

Navigation