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Settling of Small Particles in Homogeneous Turbulence: Settling Velocity Enhancement by TwoWay Coupl

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Title: Settling of Small Particles in Homogeneous Turbulence: Settling Velocity Enhancement by TwoWay Coupl


1
Settling of Small Particles in Homogeneous
TurbulenceSettling Velocity Enhancement by
Two-Way Coupling
  • T. Bosse, L. Kleiser (ETHZ), E. Meiburg (UCSB)
  • Motivation
  • One-way coupled flows
  • - particle-laden mixing layer
  • Two-way coupled flows
  • - particles settling in homogeneous turbulence
  • - dynamics of a suspension drop
  • Summary

2
Motivation
  • Particle-air interaction influences
  • Growth / Amplification
  • Front velocity
  • Deposition
  • Runout length

3
Motivation
  • Turbidity current Sediment flow
  • down the continental slope
  • Repeated turbidity currents in the
  • same region can lead to the
  • formation of hydrocarbon
  • reservoirs
  • Effective settling rate determines
  • properties of sediment layer
  • - particle layer thickness distribution
  • - particle size distribution
  • Turbidity current.
  • http//www.clas.ufl.edu/

Other applications water/air quality, dust
storms, cloud dynamics, medical devices, spray
combustion, industrial processes . . .
4
Dilute flows
  • Volume fraction of particles of O(10-3)
  • particle radius particle separation
  • particle radius characteristic length scale of
    flow
  • coupling of fluid and particle motion primarily
    through
  • momentum exchange, not through
    volumetric effects
  • effects of particles on fluid continuity equation
    negligible

5
Very dilute flows One-way coupling
  • Small mass fraction of heavy particles (dusty
    gas, dilute spray)
  • particles move independently of each other
  • particles have negligible effect on the fluid
    motion
  • can first solve for fluid motion, afterwards for
    particle dynamics
  • Particle dynamics is governed by balance of
  • particle inertia
  • viscous drag force
  • gravity
  • added mass, lift forces, pressure gradients in
    the fluid, and
  • Basset history term can be neglected

6
Very dilute flows One-way coupling (contd)
  • Three physically relevant time scales
  • aerodynamic response time of particle ta
  • characteristic time of flow field tf
  • particle settling time ts

Two dimensionless parameters govern particle
motion
7
Very dilute flows One-way coupling (contd)
Continuity and momentum equation for single-phase
fluid
Solve ODE for each particle (Maxey and Riley
1983)
Stokes drag gravity
8
Example Particle laden mixing layer
  • Martin and Meiburg (1994)
  • small particle inertia, weak gravitational
    effects particles follow fluid motion
  • no local accumulation of particles
  • clear and particle laden fluid mix through
    entrainment

9
Particle laden mixing layer (contd)
  • Martin and Meiburg (1994)
  • intermediate particle inertia, weak
    gravitational effects particles are ejected
  • from vortex centers
  • optimal ejection of particles with intermediate
    Stokes number (Crowe et al.)
  • local accumulation of particles in bands midway
    between vortex\centers

10
Particle laden mixing layer (contd)
  • Martin and Meiburg (1994)
  • intermediate particle inertia, strong
    gravitational effects sedimenting particles
  • are ejected by vortices
  • organization of the particle concentration field
    into sedimenting bands

11
Particles settling in homog. turbulence One-way
coupling
  • Maxey (1987), Wang and Maxey (1993)
    simulation
  • - analyze cellular flows and isotropic
    turbulence under one-way coupling
  • - particles accumulate in regions of low
    vorticity and high strain
  • - increase in mean settling velocity as
    compared to Stokes velocity because
  • of preferential sweeping towards regions
    of downward fluid velocity

inertial bias
preferential sweeping

12
Particles settling in homog. turbulence Two-way
coupling
  • Aliseida et al. (2002), Yang and Shy (2005)
  • - wind tunnel/closed container experiments,
    spray droplets/solid particles
  • - fluid is accelerated downwards in regions of
    high particle concentration,
  • which leads to enhanced settling
  • - large discrepancy between the two studies
    w.r.t. magnitude of this effect

inertial bias
preferential sweeping

collective particle drag

13
Dilute, two-way coupled flows
  • Suspended particles occupy small volume fraction,
    but have O(1) mass fraction, strong particle
    inertia
  • each particle locally exerts force on the fluid
    (equal and
  • opposite to the fluid force acting on
    the particle)
  • volume coupling can still be neglected
  • Suspension dynamics can be described by
  • incompressible continuity equation
  • Navier-Stokes equation plus additional force term
  • set of ODEs for each particles location,
    velocity

14
Dilute, two-way coupled flows Governing equations
  • Scaling with Taylor microscale l and rms-velocity
    u

inverse drag force
Dimensionless parameters
15
Dilute, two-way coupled flows (contd)
  • As will be seen, results suggest that it is
    preferable to scale the particle
  • equation with Kolmogorov scales

Dimensionless parameters
16
Simulation approach
  • Fluid equations
  • Fourier pseudospectral method, RK/CN time
    stepping
  • Turbulence forcing procedure according to
    Eswaran Pope (1988)
  • Particles
  • Lagrangian tracking
  • Coupling terms
  • Trilinear interpolation between particle and
    grid point locations
  • Steps
  • Fluid only Run simulation until statistically
    stationary
  • Add particles with random spatial distribution,
    Stokes setting velocity
  • Run with one-way coupling until statistically
    stationary
  • Turn on two-way coupling
  • Run until statistically stationary

17
Simulation approach Related work
  • For dilute flows with many particles, several
    variations of force coupling
  • Lagrangian-based Navier-Stokes approaches
    (Elghobashi et al.,
  • Eaton et al., Walther and Koumoutsakos,
    Lohse et al., etc.)
  • Stokeslet-based simulations (Nitsche and
    Batchelor 97, Machu
  • et al. 01)
  • Multipole expansions (Maxey and Patel 01)
  • For O(10-100) particles
  • DNS (Joseph, Glowinski et al.)
  • Force coupling method (Maxey and Dent 98)
  • For dense particle loading
  • Two-fluid simulations (Drew 83, Crowe et al.
    96)
  • closure assumptions needed

18
Results One-way coupling
Validation against Wang Maxey (1993)
WM,
Settling velocity enhancement most pronounced for

19
Results One-way coupling (contd)
Temporal evolution of particle concentration
distribution
  • Large particle-free regions emerge
  • Regions of high particle concentration grow
  • Regions of moderate particle concentration
    decrease
  • Good agreement with Wang Maxey (1993)

20
Results Two-way coupling
Correlation between particle volume fraction and
vorticity magnitude
21
Results Two-way coupling (contd)
Settling velocity enhancement
  • Two-way coupling effects increase with particle
    volume fraction
  • Increase in settling velocity noticeable above
    volume fraction O(10-5)

22
Results Two-way coupling (contd)
Particle concentration distribution
  • Small particle volume fractions probability
    functions not affected by
  • two-way coupling
  • Larger particle volume fractions fewer
    particle-free regions

23
Results Two-way coupling (contd)
Enhancement of particle settling velocity
  • Enhancement due to two-way coupling above
    volume fractions O(10-6)
  • Above volume fractions O(5 x 10-5), turbulence
    properties are modified, so
  • that the settling velocity enhancement
    increases less than linearly

24
Results Two-way coupling (contd)
If turbulence properties are kept constant by
adjusting forcing
  • - - Rel adjusts itself
  • _____ Rel kept constant
  • Nearly linear increase in settling velocity
    with volume fraction

25
Results Two-way coupling (contd)
Mechanism of settling velocity enhancement
Vertical fluid velocity as function of particle
volume fraction
Settling velocity enhancement as function of
particle volume fraction
  • Downward fluid velocity increases in regions of
    high particle concentration
  • Increased downward fluid velocity enhances
    particle settling velocity

26
Results Comparison with experiments
Comparison with Aliseda et al. (2002)
(
)
experiment,
two-way,
two-way,
one-way
Comparison with Yang Shy (2005)
)
(
two-way,
?
?
one-way,
?
experiment,
  • simulations underpredict two-way coupling
    effects measured by Aliseida et al. (02)
  • simulations overpredict two-way coupling effects
    measured by Yang and Shy (05)

27
Results Comparison with experiments
  • Potential reasons for discrepancies
  • experiments particle size distribution,
    simulation monodisperse particles
  • simulations
  • - match turbulence Re number, but other
    turbulence parameters may be
  • somewhat different
  • - low order interpolation may cause some
    errors, but a few per cent at most
  • experiments
  • - particles may induce mean downward fluid
    motion in the windtunnel test section

28
Summary
  • One-way coupling
  • Successful validation against Wang Maxey, JFM
    (1993)
  • Strongest particle-fluid interaction for Stokes
    numbers around unity
  • Large inhomogeneities in particle distribution,
    correlation between vorticity and particle
    concentration
  • Two-way coupling
  • Particle settling velocity enhancement
    found for
  • Monotonic increase of with particle
    volume fraction, relation roughly linear if
    microscale Reynolds number kept constant
  • Turbulence modification sets in for
    particles have dissipative effect on
    turbulent carrier fluid
  • Collective particle drag responsible for
    additional settling velocity enhancement compared
    to one-way coupling
  • Comparison with experiment
  • Still significant differences between numerical
    and experimental results
  • Further research necessary

29
Numerical simulation of a suspension drop
  • Mitts (1996)

Bosse (2002)
30
Numerical simulation of a suspension drop
Red 0.01
31
Numerical simulation of a suspension drop
Red 1
32
Numerical simulation of a suspension drop
Red 300
33
Summary
  • Challenges in the simulation of particle laden
    flows
  • different parameter ranges dominated by different
    physical
  • mechanisms
  • large variety of numerical approaches
    (Lagrangian, Eulerian,
  • two-fluid, statistical, hybrid.)
  • two-way coupling between fluid and particles
    momentum,
  • volume, thermal, chemical
  • interaction between suspension and bed particle
    deposition,
  • erosion, sorting
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