Advertisement

Experiments in Fluids

, Volume 42, Issue 6, pp 871–880 | Cite as

PTV investigation of phase interaction in dispersed liquid–liquid two-phase turbulent swirling flow

  • Atsuhide KitagawaEmail author
  • Yoshimichi Hagiwara
  • Takuro Kouda
Research Article

Abstract

An investigation of dispersed liquid–liquid two-phase turbulent swirling flow in a horizontal pipe is conducted using a particle tracking velocimetry (PTV) technique and a shadow image technique (SIT). Silicone oil with a low specific gravity is used as immiscible droplets. A swirling motion is given to the main flow by an impeller installed in the pipe. Fluorescent tracer particles are applied to flow visualization. Red/green/blue components extracted from color images taken with a digital color CCD camera are used to simultaneously estimate the liquid and droplet velocity vectors. Under a relatively low swirl motion, a large number of droplets with low specific gravity tend to accumulate in the central region of the pipe. With increasing droplet volume fraction, the liquid turbulence intensity in the axial direction increases while that in the wall-normal direction decreases in the central region of the pipe. In addition, the turbulence modification in the present flow is strongly dependent on the droplet Reynolds number; however, the interaction of droplet-induced turbulences is significant due to vortex shedding, particularly at high droplet Reynolds numbers and higher droplet volume fraction.

Keywords

Liquid Velocity Particle Tracking Velocimetry Swirl Number Swirl Intensity Swirl Motion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Goto M, Matsukura N, Hagiwara Y (2005) Heat transfer characteristics of warm water flow with cool immiscible droplets in a vertical pipe. Exp Therm Fluid Sci 29:371–381CrossRefGoogle Scholar
  2. Inaba H, Horibe A, Ozaki K, Yokoyama N (2000) Liquid–liquid direct contact heat exchange using a perfluorocarbon liquid for waste heat recovery (heat transfer characteristics obtained with perfluorocarbon droplets descending in a hot water medium). JSME Int J Ser B 43(1):52–61Google Scholar
  3. Ishikawa M, Murai Y, Wada A, Iguchi M, Okamoto K, Yamamoto F (2000) Novel algorithm for particle tracking velocimetry using the velocity gradient tensor. Exp Fluids 29(6):519–531CrossRefGoogle Scholar
  4. Jacobs HR, Golafshani M (1989) A heuristic evaluation of the governing mode of heat transfer in a liquid–liquid spray column. ASME J Heat Transf 111:773–778CrossRefGoogle Scholar
  5. Kaviany M (1994) Principals of convective heat transfer. Springer, Heidelberg, pp 417–425Google Scholar
  6. Kitagawa A, Hishida K, Kodama Y (2005) Flow structure of microbubble-laden turbulent channel flow measured by PIV combined with the shadow image technique. Exp Fluids 38(4):466–475CrossRefGoogle Scholar
  7. Kitoh O (1991) Experimental study of turbulent swirling flow in a straight pipe. J Fluid Mech 225:4454–4479CrossRefGoogle Scholar
  8. Kouda T, Hagiwara Y (2006a) Turbulent swirling water flow with oil droplets. Multiphase Sci Technol 18(1):55–72CrossRefGoogle Scholar
  9. Kouda T, Hagiwara Y (2006b) An experimental study on turbulent swirling water flow with immiscible droplets. Int J Heat Fluid Flow 27:611–618Google Scholar
  10. Mittal R (2000) Response of the sphere wake to freestream fluctuations. Theor Comp Fluid Dyn 13:397–419zbMATHCrossRefGoogle Scholar
  11. Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern SMC 9(1):62–66MathSciNetCrossRefGoogle Scholar
  12. Sakamoto H, Haniu H (1990) A study on vortex shedding from spheres in a uniform flow. ASME J Fluids Eng 112:386–392Google Scholar
  13. Sugioka K, Komori S (2005) Drag and lift forces acting on a spherical droplet in homogeneous shear flow (in Japanese). Trans JSME 71B:7–14Google Scholar
  14. Takehara K, Etoh T (1999) A study on particle identification in PTV. J Vis 1(3):313–323CrossRefGoogle Scholar
  15. Yamamoto F, Wada A, Iguchi M, Ishikawa M (1996) Discussion of the cross-correlation methods for PIV. J Flow Vis Image Process 3(1):65–78Google Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Atsuhide Kitagawa
    • 1
    Email author
  • Yoshimichi Hagiwara
    • 1
  • Takuro Kouda
    • 2
  1. 1.Department of Mechanical and System EngineeringKyoto Institute of TechnologyKyotoJapan
  2. 2.Hiroshima Machinery WorksMitsubishi Heavy Industries, LtdHiroshimaJapan

Personalised recommendations