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MESOSCOPIC SIMULATIONS
OUTLINE
• Introduction
• Methods
• Lattice Boltzmann (LB) Color
Method
• Dissipative Particle Dynamics (DPD)
• Examples
• LB Simulations of >2 Immiscible
fluids
• DPD Simulations of Wetting, Multiple
Fluids, Particulates, Drop Impact, etc.
• Summary
Lattice Boltzmann
• Discrete solution of the
Boltzmann kinetic
equation
• Boundary conditions are
easy (sort of)
• Multiphase versions
LB Method for >2 Fluids
• Color LB method due to
Spencer, Halliday, Care:
• “A local lattice Boltzmann
method for multiple
immiscible fluids and dense
suspensions of drops”, Royal
Society (submitted).
• “Lattice Boltzmann equation
method of multiple
immiscible continuum fluids”,
PRE 82, 066701 (2010)
Surface Tension
Large Symbols: τB = τR = 0.5
Small Symbols: τB = 1.0 τR = 0.5
Red Symbols: A = 0.01 β = 1.0
Blue Symbols: A = 0.02 β = 1.0
Laplace Pressure - Simulation & Theory
∆P = cs
2∆ρ
σ = cs
2ρA/2β
γbg < γrb = γrg
γbg = γrb = γrg γrg < γrb = γbgThree Fluids
γrg = γrb = γrm = γbg = γbm = γgm
γrb = γrm = γbg = γgm = γ0
γrg = γbm = γ0 / 2
Four Fluids
Wetting
Wetting - Multiple Fluids
Pressure Driven Flow
Viscosity Ratio = 40
Drop Deformation
Summary
• LB method of Spencer,
et al can simulate
multiple, immiscible
fluids, wetting,
compound drops, etc.
• Some issues at large Ca
• Could be used to
investigate emulsions of
>2 fluids
Dissipative Particle
Dynamics
• Coarse-Grain Particle
Method
• Multi-body Dissipative
Particle Dynamics
(MDPD) due to P.
Warren.
• Accounts for
thermodynamics,
Brownian motion &
hydrodynamics
Dissipative Particle
Dynamics
Group of atoms
Single “Bead” or Particle
Atoms “smeared out so interactions
become “soft”
Include friction to represent
dissipation
“Hard” Interactions “Soft” Interactions
Viscous Flow
Surface Tension
ASL = 0.94 ALL ASL = 0.75 ALL
ASL = 0.50 ALL ASL = 0.38 ALL
Wetting
Multiple, Immiscible Fluids
A12 = 0.50 A11
A12 = 0.63 A11 A12 = 0.75 A11
Tail
Head
Surfactants
Distribution of Tails Surface Tension
Initial State Isotropic Phase φ = 18%
Hexagonal Phase φ = 54% Lamellar Phase φ = 83%
Micelles
Tie many
DPD particles
together to
form a single
colloid or
particulate.
Aggregating Colloids in DPD
Potential
Interaction
Capillary Absorption with
Aggregation
Fraction of Fluids & Colloids Absorbed
Fluids Colloids
Drop Impact on Surfaces
Vdrop Vdrop
Fluid Drop Fluid Drop + Colloids
Re = 64
We = 260
DPD Simulations of
Sliding Drops
• No Particulates
• Particulates that don’t
favor substrate
• Particulates that favor
substrate
No Particulates
Gravity
Particulates Don’t Favor Substrate
Particulates Favor Substrate
No Particulates
Particulates don’t
favor substrate
Particulates favor
substrate
Drop Impact onto
Porous Substrate
• No Particulates
• Particulates don’t favor
substrate
• Particulates favor
substrate
Particulates Don’t Favor Substrate
Particles Favor Substrate
No Particulates Particulates Don’t Favor Substrate
Particulates Favor Substrate
No Particulates Particulates Don’t Favor Substrate
Particulates Favor Substrate
Summary
• DPD Simulations show rolling
motion of sliding drops
• Particulates that favor the fluid over
the substrate doesn’t significantly
affect drop motion
• Particulates that favor substrate
cause the drop to pin (at slow
velocities)
• Drop impacts onto porous media
at ink jet velocities show no
differences in behavior for the same
interactions where particulates
favor/don’t favor substrate
Summary
• DPD simulations can
simulate: Surface tension,
wetting, multiple
immiscible fluids,
surfactants, micelles,
colloids, colloidal
aggregation, capillary
flows, etc.
• DPD is a powerful
technique for exploring
complex fluids
Dennis’s Law of
Computer Programs
There is no such thing as
an error-free program.
The more certain you are
that the program is error-
free, the less it does.
Strong
Formulation
Weak
Formulation

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