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Droplet Propulsion by Thermal Modulation of
the Liquid-Solid Interfacial Energy
Nikolai V. Priezjev
Prof. Sandra M. Troian
Microfluidic Research & Engineering Laboratory
Dept. of Chemical Engineering
Princeton University
http://www.princeton.edu/~priezjev
Priezjev and Troian, preprint (2004)
Outline
Princeton University
Fluid droplet
• Isothermal wall conditions:
free diffusion of droplet center mass
• Details of molecular dynamics model
• Droplet motion in presence of temperature gradient
Estimation of thermocapillary
force at liquid vapor interface
Variation in the effective
surface adhesive energy
Temperature variation T(x)
Why is the droplet moving?
• Conclusions
Interaction potentials:
Molecular Dynamics Simulation Model
ij
i i i
i j i
V
my m y f
y≠
∂
+ Γ = − +
∂
∑
1
friction coefficient
Gaussian random forceif
τ −
Γ =
=
Modified Langevin thermostat for atoms:wall
6 12
LJ
2
2
FENE o 2
o
r r
V (r) 4
1 r
V (r) kr ln 1
2 r
ε
σ σ
− −
⎡ ⎤⎛ ⎞ ⎛ ⎞
= −⎢ ⎥⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
⎛ ⎞
= −⎜ ⎟
⎝ ⎠
0.9 wall-fluid interactionwfε ε=
-3
0.8 wall densitywρ σ=
cut-offr 2.5σ=
Princeton University
0T(x)=T (1 x)α−
Temperature
gradient
Bead-spring model: 10-mers
0 Bwhere T =1.0 kε
Nfluid=3600
max
min
T ~1.4
T ~ 0.6
B
B
k
k
ε
ε
Isothermal wall conditions
CM CM
2/
/
1
=
2t
for
D x (t)-x (t )
t-t τ
0 ?α ≠
CM i
1
1
x x
fluidN
ifluidN =
= ∑
Applied T0: 0.6 – 1.3 ε ⁄ kB Diffusion coefficient:
• Diffusion follows
Arrhenius dependence
Princeton University
• For typical duration
of simulation 104τ
droplet center mass
diffuses about 10σ
for T=1.0 ε⁄kB
Arrhenius law:
( )BD(T) exp -E k T∼
E = 4.4 ε
0α =
Droplet Motion in Presence of Temperature Gradient
-
-
-1
1
1
1
-1
-
= 0.0
= 0.0
= 0
= 0.0148
.0085
127
= 0.0
017
σ
σ
σ
σ
σ
α
α
α
α
α
0T(x)=T (1 x)α−
0 BT =1.0 kε
time
CM i
1
1
x x
fluidN
ifluidN =
= ∑
• Faster motion for
higher gradient α
• Small gradient α:
trajectory is liner
with superimposed
fluctuations
• Large gradient α:
trajectory becomes
curved (slow motion
at right cold end)
Princeton University
High THigh T
Low T
Why is the Droplet Moving?
Estimation of thermocapillary force:
F = LVd dT
Sin dS
dT dx
γ
θ∫
θ
-2
-2
=
(T=0.6)
( 1.3)
surface tension decreases monotonically
from =
to
for the thin polymer vapor interface
1.28
0.54
LV
LV
LV T
εσ
εσ
γ
γ
γ = =
( )T x
dF
pulling stress interface
Fluid droplet
n
Estimation of surface tension
Polymer fluid
( ) constantT x =
~ 20σ
( )LV Tγ
LVγ
Broska et al., Langmuir, `93
Ford and Nadim, Phys. Fluids, `94
TEST:
free diffusionfluidF N =
3
010 recoverfluidNF α⋅ = ≠
(1)=Typ O εical force is lsma lF σ
Droplet Diffusion Influenced by Adhesion Energy Variation
wf wfε ( ) ε (1 )x xδ= +
0 BT =1.0 k is constantε
= surface energy gradientδ
• Faster motion for
higher gradient δ
• Trajectory for
δ=0.1 σ-1
is similar to motion at
temperature gradient
α=0.0127σ−1CM i
1
1
x x
fluidN
ifluidN =
= ∑
Isothermal wall conditions:
Brochard, Langmuir 5, 432 (1989)
Chaudhury and Whitesides, Science 256, 1539 (1992)
Strong
attraction
Weak
attraction
Conclusions:
Princeton University
Using molecular dynamics simulations, we have investigated the behavior
of polymeric droplet under imposed temperature gradient.
http://www.princeton.edu/~priezjev
• Diffusion of the droplet’s center of mass follows Arrhenius law.
• Faster CM droplet motion for higher temperature gradient.
• Thermocapillary effects at the liquid/vapor interface play a minor role.
• The motion of the droplet is dominated by the variable liquid-surface
interaction energy. Drift velocity of the center of mass grows linearly
with surface energy gradient.

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Droplet Propulsion by Thermal Modulation of the Liquid-Solid Interfacial Energy

  • 1. Droplet Propulsion by Thermal Modulation of the Liquid-Solid Interfacial Energy Nikolai V. Priezjev Prof. Sandra M. Troian Microfluidic Research & Engineering Laboratory Dept. of Chemical Engineering Princeton University http://www.princeton.edu/~priezjev Priezjev and Troian, preprint (2004)
  • 2. Outline Princeton University Fluid droplet • Isothermal wall conditions: free diffusion of droplet center mass • Details of molecular dynamics model • Droplet motion in presence of temperature gradient Estimation of thermocapillary force at liquid vapor interface Variation in the effective surface adhesive energy Temperature variation T(x) Why is the droplet moving? • Conclusions
  • 3. Interaction potentials: Molecular Dynamics Simulation Model ij i i i i j i V my m y f y≠ ∂ + Γ = − + ∂ ∑ 1 friction coefficient Gaussian random forceif τ − Γ = = Modified Langevin thermostat for atoms:wall 6 12 LJ 2 2 FENE o 2 o r r V (r) 4 1 r V (r) kr ln 1 2 r ε σ σ − − ⎡ ⎤⎛ ⎞ ⎛ ⎞ = −⎢ ⎥⎜ ⎟ ⎜ ⎟ ⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦ ⎛ ⎞ = −⎜ ⎟ ⎝ ⎠ 0.9 wall-fluid interactionwfε ε= -3 0.8 wall densitywρ σ= cut-offr 2.5σ= Princeton University 0T(x)=T (1 x)α− Temperature gradient Bead-spring model: 10-mers 0 Bwhere T =1.0 kε Nfluid=3600 max min T ~1.4 T ~ 0.6 B B k k ε ε
  • 4. Isothermal wall conditions CM CM 2/ / 1 = 2t for D x (t)-x (t ) t-t τ 0 ?α ≠ CM i 1 1 x x fluidN ifluidN = = ∑ Applied T0: 0.6 – 1.3 ε ⁄ kB Diffusion coefficient: • Diffusion follows Arrhenius dependence Princeton University • For typical duration of simulation 104τ droplet center mass diffuses about 10σ for T=1.0 ε⁄kB Arrhenius law: ( )BD(T) exp -E k T∼ E = 4.4 ε 0α =
  • 5. Droplet Motion in Presence of Temperature Gradient - - -1 1 1 1 -1 - = 0.0 = 0.0 = 0 = 0.0148 .0085 127 = 0.0 017 σ σ σ σ σ α α α α α 0T(x)=T (1 x)α− 0 BT =1.0 kε time CM i 1 1 x x fluidN ifluidN = = ∑ • Faster motion for higher gradient α • Small gradient α: trajectory is liner with superimposed fluctuations • Large gradient α: trajectory becomes curved (slow motion at right cold end) Princeton University High THigh T Low T
  • 6. Why is the Droplet Moving? Estimation of thermocapillary force: F = LVd dT Sin dS dT dx γ θ∫ θ -2 -2 = (T=0.6) ( 1.3) surface tension decreases monotonically from = to for the thin polymer vapor interface 1.28 0.54 LV LV LV T εσ εσ γ γ γ = = ( )T x dF pulling stress interface Fluid droplet n Estimation of surface tension Polymer fluid ( ) constantT x = ~ 20σ ( )LV Tγ LVγ Broska et al., Langmuir, `93 Ford and Nadim, Phys. Fluids, `94 TEST: free diffusionfluidF N = 3 010 recoverfluidNF α⋅ = ≠ (1)=Typ O εical force is lsma lF σ
  • 7. Droplet Diffusion Influenced by Adhesion Energy Variation wf wfε ( ) ε (1 )x xδ= + 0 BT =1.0 k is constantε = surface energy gradientδ • Faster motion for higher gradient δ • Trajectory for δ=0.1 σ-1 is similar to motion at temperature gradient α=0.0127σ−1CM i 1 1 x x fluidN ifluidN = = ∑ Isothermal wall conditions: Brochard, Langmuir 5, 432 (1989) Chaudhury and Whitesides, Science 256, 1539 (1992) Strong attraction Weak attraction
  • 8. Conclusions: Princeton University Using molecular dynamics simulations, we have investigated the behavior of polymeric droplet under imposed temperature gradient. http://www.princeton.edu/~priezjev • Diffusion of the droplet’s center of mass follows Arrhenius law. • Faster CM droplet motion for higher temperature gradient. • Thermocapillary effects at the liquid/vapor interface play a minor role. • The motion of the droplet is dominated by the variable liquid-surface interaction energy. Drift velocity of the center of mass grows linearly with surface energy gradient.