direct numerical simulations of non-equilibrium dynamics of colloids ryoichi yamamoto department of...
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Direct Numerical Simulationsof
Non-Equilibrium Dynamics of Colloids
Ryoichi YamamotoDepartment of Chemical Engineering, Kyoto University
Project members:Dr. Kang Kim
Dr. Yasuya Nakayama
Financial support:Japan Science and Technology Agency (JST)
“Recent advances in glassy physics”September 27-30, 2005, Paris
1. Introduction: colloid vs. molecular liquidHydrodynamic Interaction (HI)Screened Columbic Interaction (SCI)
2. Numerical method: SPM to compute full many-body HI and SCI
3. Application 1: Neutral colloid dispersion
4. Application 2: Charged colloid dispersion
5. Summary and Future:
Outline:
External electric field: E
Mobility:
Double layer thickness:
Radius of colloid: aCharge of colloid: -Ze
Hnm → Oseen tensor(good for low colloid density)
• Brownian Dynamics only with Drag Friction 1/Hmm
→ no HI
• Brownian Dynamics with Oseen Tensor Hnm
→ long-range HI
• Stokesian Dynamics (Brady), Lattice-Boltzman (Ladd)
→ long-range HI + two-body short-range HI
• Direct Numerical Simulation of Navier-Stokes Eq.
→ full many body HI
Models for simulation
Hydrodynamic Interactions (HI) in colloid dispersions -> long-ranged, many-body
Importance of HI: Sedimentation
GravityGravity
1) No HI 2) Full HI
Gravity
Color map Blue: u = 0 Red: u = large
Screened Columbic Interactions (SCI) in charged colloid dispersion -> long-ranged, many-body
External force
• Effective pair potentials (Yukawa type, DLVO, …)
→ linearized, neglect many-body effects no external field
• Direct Numerical Simulation of Ionic density by solving Poisson Eq.
→ full many body SCI (with external field)
Models for simulation
anisotropic ionic profile due to external field E
Hydro(NS)
2. DNS of charged colloid dispersions (HI + SCI)
1. DNS of neutral colloid dispersions
(HI)
Colloidparticles
Density fieldof Ions
Velocity field of solvents
DNS of colloid dispersions:
Convection+ Diffusion
Coulomb(Poisson)
Finite Element Method (NS+MD):
R1
V1Boundary condition (BC)(to be satisfied in NS Eq. !!)
Irregular mesh(to be re-constructed every time step!!)
FEM
R2
V2
Joseph et al.
Smoothed Profile Method for HI:
SPMProfile function
No boundary condition, but “body force” appears
Regular Cartesian mesh
Phys. Rev. E. 71,
036707 (2005)
Definition of the body force:
SPM (RY-Nakayama 2005)
Colloid: solid body
FPD (Tanaka-Araki 2000):
Colloid: fluid with a large viscosity
particle velocity intermediate fluid velocity (uniform f )
>>
This choice can reproducethe collect Stokes drag forcewithin 5% error.
Numerical test of SPM: 1. Drag force
Numerical test of SPM: 2. Lubrication force
Two particles are approaching with velocity V under a constant force F. V tends to decrease with decreasing the separation h due to the lubrication force.
h
F
Demonstration of SPM: 3. Repulsive particles + Shear flow
Dougherty-Kriger Eqs.
Einstein Eq.
Demonstration of SPM: 3. Repulsive particles + Shear flow
Demonstration of SPM: 4. LJ attractive particles + Shear flow
clustering fragmentationattraction
shear
?
Hydro(NS)
2. DNS of charged colloid dispersions (HI + SCI)
1. DNS of colloid dispersions(HI)
Colloidparticles
Density fieldof Ions
Velocity field of solvents
DNS of colloid dispersions: Charged systems
Convection+ Diffusion
Coulomb(Poisson)
SPM for Charged colloids + Fluid + Ions:
need (x) in F
E: small → double layer is almost isotropic.E: large → double layer becomes anisotropic.
SPM for Electrophoresis (Single Particle)
E = 0.01 E = 0.1
Theory for single spherical particle:Smoluchowski(1918), Hücke(1924), O’Brien-White (1978)
External electric field: E
Drift velocity: V
Zeta potential: Electric potentialat colloid surface
Double layer thickness:
Colloid Radius: a
Fluid viscosity: Dielectric constant:
SPM for Electrophoresis (Single spherical particle) Simulation vs O’Brien-White
Z= -100 Z= -500
SPM for Electrophoresis (Dense dispersion)
E = 0.1 E = 0.1
a
b
Cell model (mean field)
E
Theory for dense dispersions Ohshima (1997)
SPM for Electrophoresis (Dense dispersion)
E: small → regular motion.E: large → irregular motion (pairing etc…).
E = 0.1 E = 0.5
SPM for Electrophoresis (Dense dispersion)Nonlinear regime
No theory for
Summary
So far: Applied to neutral colloid dispersions (HI):
sedimentation, coagulation, rheology, etc Applied to charged colloid dispersions (HI+SCI):
electrophoresis, crystallization, etc All the single simulations were done within a few days on PC
We have developed an efficient simulation method applicable for colloidal dispersions in complex fluids (Ionic solution, liquid crystal, etc).
Future: Free ware program (2005/12) Big simulations on Earth Simulator (2005-)
Smoothed Profile method (SPM) : Basic strategy
Particle
Navier-Stokes Eq.+ body force
Newton’s Eq.
smoothening
Field
superposition
“="
Numerical implementation of the additional force in SPM:
Implicit method Explicit method
Usual boundary method (ξ→ 0 )Although the equations are not shown here, rotational motions of colloids are also taken into account correctly.
Our strategy: Solid interface -> Smoothed Profile
Smoothening
Fluid(NS)
Particle(MD)
Full domain
1) Stokes friction 2) Full Hydro
Color mapp Blue: small p Red: large p
Pressure heterogeneity -> Network
Demonstration of SPM: 1. Aggregation of LJ particles (2D)
Smoothed Profile Method for SCI: charged colloid dispersions
Charge density of colloid along the line 0-L
FEM
Present SPM
Iterationwith BC
FFT without BC
(much faster!) vs.
Numerical method to obtain (x)
0L
SPM
D
•Deviations from LPB become large for r - 2a < D .
•For 0.01 < / 2a < 0.1, deviations are within 5% even at contact position.
r-2a=D
contact
r
Numerical test: 2. Interaction between a pair of charged rods (cf. LPB)
Part 1. Charged colloids + ions: Working equations for charged colloid dispersions
Hellmann-Feynman force:
for charge neutrality
Grand potential:
Free energy functional:
Numerical test: 1. Electrostatic Potential around a Charged Rod (cf. PB)
Smoothed Profile Method becomesalmost exact for r -a > ξ
1%
Acknowledgements
1) Project members:
Dr. Kang Kim(charged colloids)
Dr. Yasuya Nakayama(hydrodynamic effect)
2) Financial support from JST