Sedimentation of particles
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1 Sedimentation of particles How can such a simple problem be so difficult? Élisabeth Guazzelli elisabeth.guazzelli@polytech.univ-mrs.fr IUSTI CNRS Polytech Marseille Sedimentation of particles 2005 p.1/27
2 Sedimentation of particles Re = au/ν 1 Stokes flow P e = au/d 1 Only hydrodynamics Solid and monodisperse particles for simplicity! Sedimentation of particles 2005 p.2/27
3 Sedimentation of particles Sedimentation of a suspension of spheres Sedimentation of a suspension of fibers Sedimentation of a cloud of particles Sedimentation of particles 2005 p.3/27
4 Sedimentation of a single sphere 6πµaU S eplacementsg 4 3 πa3 (ρ p ρ f )g Pozrikidis 1997 Stokes velocity U S = 2(ρ p ρ f )a 2 g/9µ Long-range interactions u O( au S r ) Stokes 1851 Sedimentation of particles 2005 p.4/27
5 Uniformly dispersed spheres Velocity of a pair of spheres at a separation r: frag replacements U S + U(r) ents U(r) r Averaging over all possible separations occurring with probability p(r): U = U S + U(r) p(r) dr 3 diverges! r O( au r )O(1)O(r2 ) as r Multibody long-range hydrodynamic interactions Sedimentation of particles 2005 p.5/27
6 Sedimentation of spheres in a vessel Sedimentation of particles 2005 p.6/27
7 Mean velocity Ham and Homsy (650) Ham and Homsy (470) Nicolai et al. (788) Richardson-Zaki Batchelor Concentration Hindered settling: U = U S f(φ) Richardson-Zaki 1954: f(φ) = (1 φ) 5 Main effect = Back-flow Batchelor 1972: f(φ) = φ + O(φ 2 ) assuming uniformly dispersed spheres Results depend on microstructure in turn determined by hydrodynamics Sedimentation of particles 2005 p.7/27
8 Velocity fluctuations Large anisotropic fluctuations Sphere-tracking in an index-matched suspension Ham & Homsy 1988, Nicolai et al Sedimentation of particles 2005 p.8/27
9 Divergence of velocity fluctuations? ents l N/2 + N N/2 N Randomly distributed particles Box of size aφ 1/3 < l < L Statistical fluctuations N N 4 3 U πa3 (ρ s ρ)g 6πµl U S φ a l Large-scale fluctuations are dominant U U S φ L a diverges! Caflisch & Luke 1985, Hinch 1988 BUT no such divergence seen in experiments Nicolai & Guazzelli 1995, Segrè et al. 1997, Guazzelli 2001 Sedimentation of particles 2005 p.9/27
10 More theories... Koch & Shaqfeh 1991: a non-random microstructure Tong & Ackerson 1998: turbulent convection analogy Levine et al. 1998: stochastic model da Cunha 1995, Ladd 2002: impenetrable bottom Brenner 1999: wall effect Luke 2000: stratification fluctuation decay Tee et al. 2002, Mucha et al : diffusive spreading of the front stratification fluctuation decay Nguyen & Ladd 2005: polydispersity stratification Hinch 1985, Asmolov 2004, Luke 2005: bottom and top = sink of large-scale disturbances Sedimentation of particles 2005 p.10/27
11 Relaxation of large-scale fluctuations 400 t/t s = t/t s = t/t s = t/t s = interparticule distance (aφ -1/3 ) interparticule distance (aφ -1/3 ) φ(z)/φ Initially, the large-scale fluctuations dominate the dynamics. But, they are transient as the heavy parts settle to the bottom and light parts raise to the top. Sedimentation of particles 2005 p.11/27
12 Left with smaller-scale fluctuations t/t s = t/t s = t/t s = interparticule distance (a φ 1/3 ) interparticule distance (a φ 1/3 ) interparticule distance (a φ 1/3 ) interparticule distance (a φ 1/3 ) interparticule distance (a φ 1/3 ) interparticule distance (a φ 1/3 ) Then, smaller-scale fluctuations are dominant until the arrival of the upper sedimentation front. Why fluctuation length-scale 20aφ 1/3? Chehata, Bergougnoux, Guazzelli, & Hinch 2005 Sedimentation of particles 2005 p.12/27
13 Sedimentation of particles Sedimentation of a suspension of spheres Sedimentation of a suspension of fibers Sedimentation of a cloud of particles Sedimentation of particles 2005 p.13/27
14 Sedimentation of a single fiber lacements Drift velocity Coupling between orientation and velocity Sedimentation of particles 2005 p.14/27
15 Sedimentation of fibers in a vessel Sedimentation of particles 2005 p.15/27
16 Mean Velocity and orientation Enhanced sedimentation and vertical orientation Fiber-tracking in an index-matched suspension Herzhaft & Guazzelli 1999 Sedimentation of particles 2005 p.16/27
17 Packet instability Streamers Fluorescing fibers within a laser sheet Metzger, Guazzelli, & Butler 2005 Sedimentation of particles 2005 p.17/27
18 Large-scale streamers t=0 t=33 t=99 t=132-2v s 3V s Vertical velocity versus time from PIV measurements Metzger, Guazzelli, & Butler 2005 Sedimentation of particles 2005 p.18/27
19 Modeling the instability Koch & Shaqfeh 1989, Mackaplow & Shaqfeh 1998, Butler & Shaqfeh 2002, Saintillan, Darve, & Shaqfeh 2005 Sedimentation of particles 2005 p.19/27
20 Simulations versus Experiments Steady state? Wave-length selection? Saintillan, Shaqfeh, Darve, Metzger, Guazzelli, & Butler 2005 see more on Video Entry #17 (Gallery of Fluid Motion) Sedimentation of particles 2005 p.20/27
21 Sedimentation of particles Sedimentation of a suspension of spheres Sedimentation of a suspension of fibers Sedimentation of a cloud of particles Sedimentation of particles 2005 p.21/27
22 Spherical cloud of spheres ments g 2πµ 2+3λ λ+1 R U Cloud R N 4 3 πa3 (ρ p ρ)g Drag force (Hadamard, Rybczyński 1911): F h = 2πµ 2 + 3λ λ + 1 R U Cloud with λ = µ s /µ Settling velocity: U Cloud = N 4 3 πa3 (ρ p ρ)g 2πµ 2+3λ λ+1 R Suspension mixture = effective fluid of viscosity µ s Sedimentation of particles 2005 p.22/27
23 Stability of the cloud? It is important to note that the drop is found to be stable without any surface tension to maintain the spherical shape. Feuillebois A sperical blob shape is especially well suited to a study of random particle migration... because it maintains essentially constant form. Nitsche & Batchelor A single spherical drop does not deform substantially. Machu et al At creeping flow conditions the suspension drop retains a compact, roughly spherical shape while settling. Bosse et al. Gallery of Fluid Motion Sedimentation of particles 2005 p.23/27
24 But the cloud is unstable! Spherical cloud Torus eplacements PSfrag replacementspsfrag replacements Break-up herical cloud Spherical cloud Torus Torus Break-up Break-up and so on and so on and so on Sedimentation of particles 2005 p.24/27
25 Evolution of the cloud Cloud composed of 3000 point-particles Successive instabilities? Break-up? Metzger, Ekiel-Jeżewska, & Guazzelli 2005 see more on talk FK Sedimentation of particles 2005 p.25/27
26 Conclusions Long-range nature of the multi-body hydrodynamic interactions Coupling between hydrodynamics and suspension microstructure Collective dynamics: swirls, streamers, instabilities More open problems Larger concentrations Bidisperse or polydisperse particles Anisotropic particles (platelets) Deformable particles: Saintillan et al Non-Newtonian fluids: Mora, Talini, & Allain 2005 Inertia Sedimentation of particles 2005 p.26/27
27 Collaborations B. Herzhaft, H. Nicolai, Y. Peysson (ESPCI Paris) and D. Chehata, B. Metzger (IUSTI Marseille) L. Bergougnoux (IUSTI Marseille) E. J. Hinch (University of Cambridge) M. L. Ekiel-Jeżewska (IPPT-PAN Warsaw) J. E. Butler (University of Florida) E. Darve, M. B. Mackaplow, D. Saintillan, and E. S. G. Shaqfeh (Stanford University) G. M. Homsy (University of California Santa Barbara) Sedimentation of particles 2005 p.27/27
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