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Clustering and Mixing of Floaters by Waves

Clustering and Mixing of Floaters by Waves. Sergei Lukaschuk, Petr Denissenko Grisha Falkovich The University of Hull, UK The Weizmann Institute of Science, Israel. Warwick Turbulent Symposium. December 8, 2005. Effect of surface tension. Capillarity breaks Archimedes’ law.

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Clustering and Mixing of Floaters by Waves

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  1. Clustering and Mixing of Floaters by Waves Sergei Lukaschuk, Petr Denissenko Grisha Falkovich The University of Hull, UK The Weizmann Institute of Science, Israel Warwick Turbulent Symposium. December 8, 2005.

  2. Effect of surface tension Capillarity breaks Archimedes’ law • Hydrophilic particles are lighter • Hydrophobic particles are heavier than displaced fluid Two bodies of the same weight displace different amount of water depending on their material (wetting conditions)

  3. Small hydrophilic particles climb up, and hydrophobic particles slide down along inclined surface. Similar particles attract each other and form clusters. A repulsion may exist in the case of non-identical particles Cheerious effect

  4. Standing wave Small amplitude wave:

  5. Van Dyke,“An Album of Fluid Motion”

  6. Equation for the depth of the submerged part, : M – p. mass, md – mass of displaced fluid, Fc – capillary force, v - friction coefficient ( ) Equation of motion for horizontal projection: For the long gravity waves when

  7. Experimentalsetup PW Laser CW Laser

  8. Working liquid: water surface tension: 71.6 mN/m refraction index: 1.33 Particles: glass hollow spheres average size 60  m density 0.6 g/cm3

  9. Measurement System • Cell geometry: 9.6 x 58.3 x 10 mm, 50 x 50 x 10 mm • Boundary conditions: pinned meniscus = flat surface • Acceleration measurements:Single Axis Accelerometer, ADXL150 (Resolution 1 mg / Hz1/2, Range  25 g, 16-bit A-to-D, averaging ~ 10 s, Relative error ~ 0.1%) • Temperature control: 0.2ºC • Vibrations: Electromagnetic shaker controlled by digital waveform generator. Resonant frequency > 1 kHz • Illumination: expanded beam • CW Laser to characterise particles concentration, wave configuration and the amplitude • PIV pulsed (10 nsec) Yag laser for the particle motion • Imaging • 3 PIV cameras synchronized with shaker oscillation

  10. Measurement methods • Particle Concentration • off-axis imaging synchronized with zero-phase of the surface wave • measuring characteristic – light intensity, its dispersion and moments averaged over area of different size • Wave configuration: • shadowgraph technique • 2D Fourier transform in space to measure averaged k-vector • Wave amplitude measurement • refraction angle of the light beam of 0.2 mm diam. • dispersion of the light intensity

  11. Standing wave : Particle concentration and Wave amplitude are characterized by the dispersion of the light intensity F=100.9 Hz, l=8 mm, s=5 mm, A=0.983 g T1

  12. Wave Amplitude vs AccelerationF= 100.9 Hz Cell: 58.3 x 9.6 mm Ac=0.965  0.01

  13. 2D k-spectrum of the parametric waves in a turbulent mode averaged over 100 measurements

  14. Distribution in random flow (wave turbulence)

  15. ∑λ<0 → singular (fractal) distribution – Sinai-Ruelle-Bowen measure multi-fractal measure Balkovsky, Fouxon, Falkovich, Gawedzki, Bec, Horvai

  16. Moments of concentrations 2,3,4,5 and 6th versus the scale of coarse graining. Inset: scaling exponent of the moments of particle number versus moment number.

  17. Random particle distribution n=2000 in the AOI, std(n)=39

  18. PDF of the number of particles in a bin 128x128

  19. PDF of the number of particles in a bin 256 x 256

  20. Conclusion Small floaters are inertial → they drift and form clusters in a standing wave wetted particles form clusters in the nodes unwetted - in the antinodes clustering time is proportional to A2 they create multi-fractal distribution in random waves.

  21. How waves move small particles? • Stokes drift (1847): • Kundt’s tube stiration in a sound waves (King, 1935): E – the mean energy density,

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