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Numerical investigation of
drop deformation in shear
Influence of viscoelasticity?
K. Verhulst, P. Moldenaers, R. Cardinaels,
KU-Leuven
Y. Renardy, S. Afkhami. Mathematics, Virginia Tech,
Jie Li, Cambridge. D. Khismatullin, Tulane U.
http://www.math.vt.edu/people/renardyy
Re=15,Ca=0.2
equal visc
microstructure of HIPS.
A useful way to recycle plastics is to melt and
mix them to form incompatible polymer blends
An incompatible polymer blend is a new
material, combining the desired properties of
the two original plastics.
Waldmeyer,Mackley,Renardy,Renardy 2008 ICR
A cutaway diagram shows the geometry of the device in which
a drop travels in the experiments of J. Waldmeyer (PhD 2008)
The cross-section on the right shows two sample stream
lines of the base flow. If the drop is small, then we can set up
the boundary conditions in our simple shear flow from the
strain rates of the baseflow.
We begin with a description of the Newtonian VOF-CSF method in the context of drop deformation.
For some simulations, a higher-order method like VOF-PROST is needed. e.g. drop retraction when shearing stops.
Implementation of 3D Oldroyd B or Giesekus constitutive model.
The plan for this presentation
Shear rateg’
The dimensionless parameters for the Newtonian case are
Viscosity ratio
mh hmatrix
Density ratio rd / rmCapillary number Cahmg’a/viscous force causing deformation / capillary force which keeps
the drop together.
Reynolds number Re=r
mg’ a2 / hm
x=Lxy=Ly
z=Lz
Fluid 1
Fluid 2s
Cn
C
Governing equations for a volume-of-fluid method for
Newtonian liquids
1 2
0,
1 1 1,
2
T
s s s
uu u u p S F
t
S u u F nR R
•A color function C(x,y,z,t) is advected by the flowfield
•We reconstruct the interface from the surface where C jumps
•Body force includes the interfacial tension force
•Periodic boundary conditions in the x and y directions, and no
slip at the walls z=0, z=1
Δxi
Δyj
Δzk
C(i,j,k)=1
C(i,j,k)=0
e.g. C(i,j,k)=1/3
The interface is reconstructed from C(i,j,k,t) as a
plane in each 3D cell, or a line in a 2D cell
Ui-½ Ui+½
V1i,j,k V2i,j,k V3i,j,k
We began with SURFER, which treats high Re flows. (open source, S. Zaleski 1997)
2. VOF codes typically use the projection method
on the momentum equations, and an explicit
temporal discretization. Chorin 1967
nnnn*
)F)S((1u)u(tuu
• We know the solution at the nth timestep.
Next, solve for an intermediate velocity field u* without p.
• Compute a correction p, using
t*u)
p(
p
tuu *1n
•Solve for un+1:
:0u,0u 1nn
The explicit scheme is stable when
Dt << time scale of viscous diffusion: mesh2 / viscosity
Implicit scheme would be slow because variables are coupled large full matrix
Semi-implicit scheme with decoupling of u, v,w SURFER++ Li, Renardy, Renardy 1998
* 1( ) ( ( ) )
nn n nu u
u u S Ft
The Stokes operator is associated with viscous
diffusion.
• We know the solution at the nth timestep.
Next, solve for an intermediate velocity field u* without p.
The Stokes operator causes the
need for small t for low Re, so
treat some of this expression
implicitly *
We developed and implemented a semi-implicit
time integration scheme Li,Renardy,Renardy 1998
u*
*
* *
1 1( ) (2 )
1 1( ) ( )
nn n n
n n
u uu F u
t x x
u v u wy y x z z x
Let us take the X-component of the intermediate velocity field:
Finally, we invert tridiagonal matrices. Analogously for v* and w*.
*)(()(()2(( uzzyyxx
tI
*)()()2( uzz
tIyy
tIxx
tI
The Stokes operator terms for u* are treated implicitly.
=explicit terms
We factorize this (Zang,Street,Koseff 1994).
uu u p S F
t
3. How VOF-CSF-PLIC discretizes the interfacial
tension force Fs .
At the continuum level,
.|C|
Cn|,C|,nF sssss
At the discrete level, C=volume fraction of fluid 1 per cell.
Finite differences of the discontinuous function C
give ns , more finite diffs & nonlinear combinations
give k.
.1fluidin1
,2fluidin0C
k = - div ns
• CSF Brackbill et.al 1992, Kothe,Williams,Puckett 1998,…
• CSS Continuous Surface Stress Formulation Lafaurie et.al 1994, Zaleski,Li,Gueyffier,…
Introduce a mollified C in Fs over a distance much larger than
the mesh:
'dx),x'x()'x(C)x(C~
where f(x,e) is a kernel.
Diffusion of surface tension force?
.TF,)nnI(T ssss
The Continuous Surface Force Formulation (CSF)
works well in an average sense for flows.
Application: The Cambridge Shear System was used to obtain
experimental data on drop deformation for oscillatory, step, & steady
shear
h
VOF-CSF reproduces the initial transient for oscillatory
shear experiment at 0.3Hz 250% strain 30.175 mm
diameter drop.
Numerical
Expt
Microchannel application: 3D Newtonian Stokes flow
Ca=0.4, R0/H=0.34
Inertia is destabilizing, so add a small
amount to break the drop:
Re=2, Ca=0.4
Monodisperse droplets
VOF-CSF simulation (Re=0.1)
YRenardy, Rheol Acta 2007
H
The simulation of surface-tension-dominated
regimes produce small SPURIOUS CURRENTS
The simulation of a drop in another liquid with zero initial velocity.
Zero velocity boundary
condition
Prescribed surface
tension
const.Cp
sphere.for const. C, tensionsurfaceFp
Discretized in the same
manner as l.h.s.
:
VOF-Continuous Surface Force Formulation.
Velocity vector plots across centerline in x-z plane for different
mesh size at t=200Dt.
Dx=a/12Dx=a/20
Magnitudes of v increase in Lmax and L2, remain same in L1
Norms of v at 200th timestep Dt=10-5 should approach 0 as
mesh-size decreases.
dxdydz∣v∣22=L dxdydz∣v∣1=L
PROST0.00000014
0.00000009
0.00000007
0.00000004
0.0000009
0.0000005
0.0000004
0.0000002
0.0000224
0.0000131
0.0000095
0.0000057
1/96
1/128
1/160
1/192
CSS0.0000192
0.0000162
0.0000144
0.0000135
0.0001418
0.0001245
0.0001123
0.0001045
0.0037704
0.0038588
0.0036042
0.0039840
method
CSF0.0000147
0.0000154
0.0000157
0.0000157
0.0000840
0.0000854
0.0000860
0.0000863
0.0017998
0.0018409
0.0018905
0.0019688
1/96
1/128
1/160
1/192
Dx ∣v∣max=L
O(Dx)2
1/96
1/128
1/160
1/192
you can’t win the game by finite differencing C
Moral of the story
Our VOF-PROST algorithm implements
1.A sharp interface reconstruction and Lagrangian
advection of the VOF function. JCP,Renardy,Renardy 2002
2.A modified projection method with semi-implicit
time integration is used for the momentum and
constitutive equations. Li,Renardy,Renardy 1998
Δxi
Δyj
Δzkx0
A0 0 0( ) ( ) ( ) 0k x x x x x xn
= 2 tr(A) at cell centers.
D
D
The next slides show the implementation of PROST for
viscoelastic liquids
hp
Model parameter
(shear-thinning)relaxation time
Initial condition for a drop in shear:
zero viscoelastic stress and
impulsive startup for velocities.
Dimensionless parameters
Density ratio 1= rd / rm
Capillary number Cahmg’a/=viscous force deforms drop / capillary force retracts drop.
Reynolds number small Re=rmg’ a2 / hm
Viscosity ratio mh hmatrix
Weissenberg numbers g l
or Deborah numbers Dem= Wem(1-bm)/Ca
Ded= Wed(1-bd)/(mCa)
measures viscoelastic vs capillary effects.
Retardation parameter b= hsolvent / htotal
Giesekus model parameter 0<<0.5
The time-dependent UCM eqns have an instability if an
eigenvalue of the extra stress tensor is < -G(0). (Rutkevich 1967)
This does not happen if the initial data are ‘physical’, but can
happen numerically.
Interface cell
-- Fluid properties are interpolated.
-- This 'partly elastic' fluid changes properties
as the interface moves, and need not satisfy the stability
constraint.
We correct this numerical instability by adding a multiple of I to
T over interface cells if eval < -G(0).
Newtonian
Viscoelastic
-λκ(T(n))2
-λκ(T(n))2
VOF-PROST runs on shared-memory machines. Mesh Dx=Dy=Dz=a/12 typically use 16 cpus, SGI Altix, 10 days.
10 million unknowns per timestep, 200,000 timesteps
3D simulations for experimental results of Moldenaers
et al are shown next.
System Drop MatrixViscosity
ratio
1 VE NE 1.5
3 NE VE 1.5
4 NE NE 1.5
5 NE VE(BF2) 0.75
Ca=0.14
A Boger fluid drop in a Newtonian matrix. De_d = 1.54. Viscosity ratio 1.5,
is more retracted with increased shear rate because the viscoelastic stresses
at the drop tips act pull the drop in.
Ca=0.32
Ca=0.14
Ca=0.32
- - - Newtonian CSF simulation
____ Oldroyd B CSF
simulation
o experiment
Rotational flow inside the drop does not generate as much
viscoelastic stress as when the fluids are reversed.
A Newtonian drop in Boger fluid matrix. De_m = 1.89, viscosity ratio 1.5,
b_m=0.68,Ca=0.35, increases the initial overshoot with increase in shear
rate, and retracts over a long time scale.
____ Oldroyd B
o experiment (D decreases over longer time scale)
_._. Giesekus
NE-NE steady state is here.
Greco JNNFM 2002
Shear-thinning…
smaller stresses in
the VE ‘ stress wake’
A new breakup scenario for a viscoelastic drop in a Newtonian matrix was found
experimentally at visc ratio 1.5 Verhulst thesis 2008
Elongation and necking to t’=100 is followed by interfacial tension forming dumbbells joined by a filament.
A second end-pinching elongates the drop more than in the first.
Beads form on the filament.
Filament breaks.
The viscoelastic filament thins but instead of breaking, pulls the ends to coalescle.
Experimental
3D Numerical simulations at a higher Ca=0.65, same Ded=0.92 , forms dumbbells and a uniform filament. The dumbbells end-pinch numerically when the filament is under-resolved.
Dx=R0/12
Domain 16R0x16R0x8R0
Dt=.0005/’
12days,16cpus,SGI Altix
Large stresses build up at the neck by t’=35 and grows on the filament side. Interfacial tension forms dumbbell shape.
If the filament were constrained not to break then high stresses there would pull the ends together.
1D surface tension driven breakup of an Oldroyd-B filament in vacuum never breaks.
(M.Renardy 1994,1995)
Does the Boger fluid remain Oldroyd-B when the filament thins a long time?
A solution in Stokes flow does not depend on the initial condition. This
uniqueness is lost when additional effects such as viscoelasticity are added
(or for instance, inertia. IJMF 2008).
Effect of shear flow history
VOF-PROST simulation with Giesekus parameter 0.1,mesh a/12.
NE-VE at visc ratio 0.75, Ca=0.5, Dem=1.54, breaks up
… but not when the shear rate is ramped up in small steps.
Numerical simulations with the one-mode Giesekus model with model
parameter 0.1.
The same level of viscoelastic stress is associated with breakup or settling
The same level of viscoelastic stress occurs with breakup or settling
The End