Transcript otws3 7274

Sediment Transport in Viscous Fluids
Andrea Bertozzi
UCLA Department of Mathematics
Collaborators:
Junjie Zhou, Benjamin Dupuy, and A. E. Hosoi MIT
Ben Cook, Natalie Grunewald, Matthew Mata, Thomas Ward, Oleg
Alexandrov, Chi Wey, UCLA
Rachel Levy, Harvey Mudd College
Thanks to NSF and ONR
May 2008
IPAM 2008
Thin film and fluid instabilities:
a breadth of applications

Spin coating microchips

De-icing airplanes
"
Nanoscale fluid coatings
"Gene-chip design
"

Paint design
Lung surfactants
Shocks in particle laden thin films




J. Zhou, B. Dupuy, ALB, A. E. Hosoi,
Phys. Rev. Lett. March 2005
Experiments show different settling
regimes
Model is a system of conservation laws
Two wave solution involves classical
shocks
Experimental Apparatus and Parameters





30cmX120cm
acrylic sheet
Adjustable angle
0o-60o
Polydisperse
glass beads (250425 mm)
PDMS 200-1000
cSt
Glycerol
Experimental Phase Diagram
well mixed fluid
particle ridge
clear fluid
PDMS
glycerol
Model Derivation I-Particle Ridge Regime

Flux equations








div P+r(f)g = 0, div j = 0
P = -pI + m(f)(grad j + (grad j)T) stress tensor
j = volume averaged flux,
r=effective density
m = effective viscosity
p = pressure
f = particle concentration
jp = fvp , jf=(1-f) vf , j=jp+jf
Model Derivation II-particle ridge regime

Particle velocity vR
relative to fluid

w(h) wall effect

Richardson-Zaki
correction m=5.1

Flow becomes solid-like
at a critical particle
concentration
2
(
r

r
)
a
2
p
f
vR 
f (f ) w(h) g
9
mf
w(h) 
ah 2
1  ( Ah 2 ) 2
f (f )  (1  f )
m
m (f )  (1  f / fmax )
m(f) = viscosity, a = particle size
f = particle concentration
2
Lubrication approximation
dimensionless variables as in clear fluid*
 r (f ) 3
 r (f ) 2 3 
( r (f )h)  r (f ) 3
5 r (f ) 4

h hxxx  D(  ) 
h ( r (f )h) x 
h ( r (f )) x  
h  0
t
8 m (f )
 m (f )
 m (f )  x
 m (f )
 f 3

(fh)  f 3
5 f
4

h hxxx  D(  ) 
h ( r (f )h) x 
h ( r (f )) x  
t
8 m (f )
 m (f )
x
 m (f )
 f fr (f ) 3 2


h  Vsfhf (f ) w(h)  0
3
 m (f ) m (f )
x
r p  r f a2
Vs 
rf H2
f (f )  (1  f ) f (f )
*D() = (3Ca)1/3cot(), Ca=mfU/g,
- Bertozzi & Brenner Phys. Fluids 1997
Dropping higher
order terms
Reduced model
Remove higher
order terms
 ( r (f )h)  r (f ) 2 3 

h  0
t
 m (f )
x

 (fh) fr (f ) 3 2

h  Vsfhf (f ) w(h)  0
t
3
 m (f )
x
System of conservation
laws for u=r(f)h and v=fh
u
 F (u , v)x  0
t
v
 G (u , v)x  0
t
Comparison between full and reduced models
macroscopic dynamics well described by reduced model
full model
reduced
model
Double shock solution


f=15%
Riemann
problem can
have double
shock solution
f=30%
F (ui , vi )  F (ul , vl ) G (ui , vi )  G (ul , vl )
Four equations
s1 

in four
ui  ul
vi  vl
unknowns
(s1,s2,ui,vi)
F (ur , vi )  F (ur , vr ) G (ur , vi )  G (ur , vr )
s2 
ui  u r
Singular behavior at contact line

vi  vr
Shock solutions for particle laden films




SIAM J. Appl. Math 2007, Cook, ALB,
Hosoi
Improved model for volume averaged
velocities
Richardson-Zacki settling model produces
singular shocks for small precursor
Propose alternative settling model for high
concentrations – no singular shocks, but
still singular depedence on precursor
May 2008
IPAM 2008
Volume averaged model
Full
model
Reduced
model
May 2008
IPAM 2008
Hugoniot locus for Riemann problem
– Richardson-Zacki settling
When b is
small there
are no
connections
from the h=1
state.
May 2008
IPAM 2008
Singular shock formation
May 2008
IPAM 2008
Modified settling as an alternative
R. Buscall et al JCIS 1982
Modified Hugoniot locus:
Double shock solutions
exist for arbitrarily small
precursor.
May 2008
IPAM 2008
Two Dimensional Instability of
Particle-Laden Thin Films
Benjamin Cook, Oleg Alexandrov, and
Andrea Bertozzi
Submitted to Eur. Phys. J. 2007
UCLA Mathematics Department
Background - Fingering Instability
instability caused by h2 velocity
stabilized by surface tension at short
wavelengths
observed by H. Huppert, Nature 1982.
references:
Troian, Safran, Herbolzhiemer, and
Joanny, Europhys. Lett., 1989.
Jerrett and de Bruyn, Phys. Fluids 1992.
Spaid and Homsy, Phys. Fluids 1995.
Bertozzi and Brenner, Phys. Fluids 1997.
Kondic and Diez, Phys. Fluids 2001.
image from Huppert 1982
Lubrication model for
particle-rich ridge
as described in ZDBH 2005
Unstratified film: concentration f assumed independent of depth
volume-averaged velocity
effective mixture
viscosity
relative velocity
Stokes settling velocity
“wall effect”
hindered settling
2x2
conservation laws:
Double Shock Solutions
from Cook, Bertozzi, and Hosoi, SIAM J. Appl. Math., submitted.
numerical (Lax-Friedrichs)
1-shock
2-shock
fR=fL
fL=0.3
b=0.01
Effect of Precursor
values of h and f at ridge
f - modified settling
f - original settling
h - original settling
h - modified
settling
fmax
Fourth Order Equations
add surface tension:
velocities are:
modified capillary number:
relative velocity is still unregularized this leads to instability in the numerical solution
a likely regularizing effect is shear-induced diffusion
Incorporating Particle Diffusion
diffusivity:
particle radius a
dimensionless diffusion coefficient:
equations become:
Leighton and Acrivos, J. Fluid Mech. 1987
shear rate
Time-Dependent Base State
4th-order equations
1st-order equations
h
x
f
x
Comparison With Clear Film
particle-laden film
no particles
(same viscosity)
h
x
f
clear fluid simulated by removing settling
term
x
Linear Stability Analysis
Introduce perturbation:
derive evolution
equations:
extract growth rate:
Evolution of Perturbation
t=4000
h
g
x
after t=4500 perturbation is
largest at trailing shock
t
Perturbation Growth Rates
maximum growth rate is reduced,
and occurs at longer wavelength
no particles
particles
Conclusion

Lubrication model predicts the same qualitative effects of
settling on the contact-line instability: longer wavelengths
and more stable

Unclear if the predicted effects are of sufficient
magnitude to explain experimental observations
Model for a Stratified Film
due to Ben Cook (preprint 07)

Necessary to explain phase diagram

May change relative velocity


(top layers move faster)
Stratified films have been observed for
neutrally buoyant particles:

B. D. Timberlake and J. F. Morris, J. Fluid Mech. 2005
no variation in x
direction
no settling in x direction
settling in z direction
balanced by shearinduced diffusion
figure from SAZ 1990
Properties of SAZ 1990 Model
velocities are weighted averages:
diffusive flux:
diffusive flux balancing gravity implies df/dz < 0
therefore particles move slower than fluid
possibly appropriate for normal settling regime: particles left behind
with non-diffusive migration, particles may move faster
Migration Model
shear-induced flux:
*
gravity flux:
non-dimensionalize:
balance equations:
* Phillips, Armstrong, Brown, Graham, and Abbott, Phys. Fluids A, 1992
Depth Profiles
(velocities relative to
homogeneous mixture)
Velocity Ratio
How to distinguish between
settling and stratified flow?


Settling rate is proportional to a2,
stratified flow is independent of a
In settling model  appears only in time
scale, while  is crucial in stratified
model
Critical Concentration
Phase Diagram
45

30
15
f
Conclusions

The migration/diffusion model predicts
both faster and slower particles,
depending on average concentration

Velocity differences due to stratification
may be more significant than settling

This model is consistent with the phase
diagram of ZDBH 2005
Conclusions









Double shock solution agrees extremely well with both
reduced model and full model dynamics.
Explains emergence of particle-rich ridge
Provides a theory for the front speed
Similar to double shocks in thermocapillary-gravity flow
These new shocks are classical, NOT undercompressive
Result from different settling rates (2X2 system)
Singular behavior at contact line seen even in reduced
model (no surface tension) – different from other driven
film problems.
Fingering (2D) problem can be analyzed but only
qualitatively explained by this theory
Shear induced migration seems to play a role at lower
angles and particle concentrations.