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We report on experiments of electrowetting on dielectric (EWOD) on functional fibers in air. Firstly, we investigate the evolution of drop contact angle θ with the applied voltage Vrms. θ(Vrms) relationship is compared to the theoretical Young–Dupre model and shows a good agreement at low voltage. However it appears that the saturation effect is different when compared to the EWOD response on a planar surface. We then study reversibility of the phenomenon to show that the drop recovers its initial shape when the voltage is switched off. Secondly, EWOD is used to modulate the maximal volume ΩM of a hanging drop. Results are compared to numerical simulations performed with Surface Evolver software. A good agreement is observed and it appears that ΩM increases linearly with Vrms. Finally, we present a proof of concept of a drop manipulation tool on fiber networks. This consists of an EWOD driven valve that is capable of regulating the drop traffic at a cross-junction between two fibers
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Electrowetting on functional fibers - Supplementary Informations
R. Dufour,a,bA. Dibao-Dina,a,bM. Harnois,a,bX. Tao,a,cC. Dufour,a,bR. Boukherroub,a,dV. Seneza,b
and V. Thomya,b
1 Movies
Movie M1 shows EWOD actuation of a 1
µ
L water droplet for Vrms = 48 and 96 V.
Movie M2 shows EWOD actuation of a 1
µ
L water droplet for Vrms = 160 V. At this hight voltage,
hydrodynamic instabilities are observed (emission of satellite droplets).
Movie M3 show the operation of an EWOD controlled fluidic diode, consisting in a junction between
two fibers. Actuation sequence is off-on-off-off-on-on.
2 Contact angle and drop volume measurement
2.1 Contact angles measurement
Fig. 1 SEM observation of a hanging NOA droplet. Right image depicts the continuous variation of liquid-air interface from a microscopic
equilibrium angle to the macroscopic shape.
Measurement of contact angles of clam-shell drops hanging on horizontal fibers is not straightforward
compared to classical studies on smooth or textured surfaces.1,2 Because of the complex drop shape, the
interface profile continuously varies from a microscopic contact angle to the macroscopic drop profile.
aUniversity Lille Nord de France, Villeneuve d’Ascq, France
bInstitute of Electronics, Microelectronics and Nanotechnology (IEMN), UMR CNRS 8520, Villeneuve d’Ascq, France; E-mail: vincent.thomy@iemn.univ-
lille1.fr
cLaboratory for Textile Material Engineering (GEMTEX), National Graduate School of Textile Engineering (ENSAIT), 59056 Roubaix, France
dInterdisciplinary Research Institute (IRI), USR CNRS 3078, Parc de la Haute Borne, Avenue de Halley, 59658 Villeneuve d’Ascq, France
Corresponding author: vincent.thomy@iemn.univ-lille1.fr
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Accurate evaluation of
θ
is particularly tricky for wetting liquid as depicted in figure 1 for a hanging NOA
droplet. Low surface tension of NOA (40mN/m) results in
θ
40and a very high magnification is
necessary to capture the microscopic angle. The distortion is less significant as far as hydrophobic fibers
are concerned. Indeed as shown in figure 2, the local apparent contact angle can be properly measured
within a 200
µ
mwindows around the contact line, the standard error over all measurement is ±2.
Fig. 2 Measurement of contact angles for water drops on fibers under EWOD actuation for VRM S = 0, 48, 96 and 160 V. Magnifications show
the measured contact angles.
Another usual error in measured contact angle results from a displacement of the drop along the axis of
the camera (i.e. rotation around the fiber). For that reason, it is necessary to use a second camera recording
a lateral view of the drop. Computing the gravity center displacement during the experiment enables to
make sure that the drop only moves upward.
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2.2 Drop volume estimation
Concerning the measurement of maximal drop volumes (c), there is no direct method to compute the vol-
ume from side view of barrel-shaped drops. Consequently, the volumes were average assuming a rotational
symmetry and computed with DSA3 drop shape analysis software. The so-called ‘pendant drop’ method
was used to capture the drop shape and compute . The accuracy of this approximation was estimated as
follow : (i) Drops of volume cwere simulated with Surface Evolver for a fiber radius r=117
µ
m
and 80 <
θ
<120. (ii) Side-views were created from simulation results and loaded in DSA3 software. (iii)
Drop volume was computed using rotational symmetry approximation and compared to real drop volume.
Results are shown in figure 3 and show that this approximation leads to less than 10 % error.
2 4 6 8 10
2
4
6
8
10
Computed volume [µL]
Real volume [µL]
Computed volume
y = x
0
20
40
60
80
100
Error
% Error
Contact angle [°]
80 90 100 110 120
Fig. 3 Estimation of rotational symmetry approximation accuracy for the measurement of drop volumes. The top/bottom xaxis corresponds
to simulated volumes close to cassociated with contact angles ranging from 0 to 180 . The left yaxis corresponds to volumes measured
from side views of the simulated droplets. Measurement error is shown on the right yaxis
It is to be noted that for drop volumes much lower than cthis approximation no longer holds and
measurement error quickly increases above 10%.
3 Variation of drop contact length upon EWOD actuation
Figure 4 shows the variation of drop contact length on the fiber as a function of the applied voltage. Variation
of contact length appears to be very similar to variation of contact angle. In a first time the droplet quickly
spreads. Then starting from V264 V, spreading continues but more slowly and we do not observe a clear
saturation as it is the case for planar EWOD. Once voltage is switched off (from 160 to 0 V), contact length
recover its initial value, as do the contact angle.
4 Relationship between maximum drop volume Mand applied voltage V
A first step toward analytical calculation of Mwas previously performed by E. Lorenceau et al.3. However
they considered barrel shaped droplets on wetting fibers (
θ
=0) and focused on the variation of Mwith
respect to the fiber radius. In their analysis they assumed that the force resulting from the horizontal fiber
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0 10000 20000 0
200
250
300
Contact length [ m]
V
RMS
2
[V
2
]
Fig. 4 Variation of drop contact length as a function of applied voltage.
is equivalent to the force generated by two similar fibers [ ... ] pointing radially.’, which is represented
in figure 5. Following this approach and considering a fiber for which
θ
=0, the maximal capillary force
exerted by the two fibers as
α
π
2is F
C,MAX =4
π
b
γ
. Balancing this force with the drop weight leads to
the following expression for M:
M4
π
b
γ
ρ
g
Fig. 5 Point of view of E. Lorenceau et al. concerning the force exerted by a fiber on a barrel shaped droplet. The force exerted by the
horizontal fiber is equivalent to the force exerted by two fibers pointing radially 3.
As far as our fibers are concerned, it is not rigorous to use such an analytical approach. Indeed in
the aforementioned work, the oil droplets exhibit a barrel configuration (liquid wraps around the fiber, so
contact line is separated into two roughly circular parts). Such configuration makes possible the assumption
of figure 5 (capillary force exerted by the fiber on the drop is focused at two contact points, and thus is
analogous to the force generated by two fibers pointing radially).
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On the other hand, our water droplets on hydrophobic fibers exhibit a barrel shape with a single continu-
ous contact line. In that case the capillary force exerted by the fiber is distributed all along the perimeter of
drop fiber contacting surface and is not likely to be expressed in such a way. It is to be noted that a simple
correction factor to the capillary force such as would here leads to a downward force since
θ
>90on the
hydrophobic fiber.
Thereby it is not straightforward to analytically predict the scaling law relating Mand
θ
. All we can
eventually do is to use numerical simulation results to display the M=f(
θ
)relationship, which is shown
on the graph of figure 6. In the range of computed parameters (80<
θ
<120), a linear behavior is clearly
observed between the two quantities, with R2>0.99. For the 117
µ
min diameter fiber, slope is 9.15
µ
L1
and intercept equals 7.11
µ
L(corresponding to
θ
=
π
2). Thereby from this point we can assume that the
maximal hanging drop volume follows the scaling law Mcos
θ
. It is to be noted that rigorous derivation
of this result is still to be done, and that this linear behavior is here demonstrated only for a limited contact
angle range.
-0,6 -0,3 0,0 0,3
3
6
9
M
[ L]
cos( )
Equation y = a + b*x
Adj. R-Square 0,99698
Value Standard Error
V_max Intercept 7,11573 0,02975
V_max Slope 9,15216 0,11262
Fig. 6 M=f(
θ
)relationship obtained from numerical simulations of a water droplet on a 117
µ
min diameter fiber.
In a second time, using the Young-Dupr relationship, we could expect cos
θ
V2. However, it is clearly
observed in the case of EWOD on fiber, that the EWOD response hardly follows the Young-Dupr approxi-
mation (it is the case only for small Vvalues, i.e. up to Vrms 64 V, cf. figure 4 in the manuscript). As a
consequence, there is no reason for Mto linearly increase with V2over the whole voltage range.
In order to gibe to the reader an idea about the amplitude of the modulation (in
µ
L.V1or
µ
L.V2),
figure 7 represents linear curve fitting for M=f(Vrms)and M=f(V2
rms)relationships. The second case
exhibits a better correlation with R2=0.87 instead of R2=0.70 for the former case.
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Fig. 7 Linear curve fitting for M=f(Vr ms)and M=f(V2
rms)relationships.
5 Surface evolver simulations
The Surface Evolver is an interactive program for the study of surfaces shaped by surface tension and other
energies. A surface is implemented as a union of triangles and evolved toward minimal energy by a gradient
descent method.
In the case of a drop hanging on a fiber, the total energy Eresults from interfacial and gravitational
contributions which are computed using surface and line integrals. Moreover the surface is subjected to
volume and boundary constraints.
5.1 Initial geometry and constraints
Taking advantage of symmetries, only a quarter of the drop is modelled. Initial geometry is represented
in figure 8 (The fiber aligns with the x axis). It consists of 7 vertices, 16 edges and 6 faces, the following
constraints and symmetries are applied :
Symmetry with respect to yOz plane (edges 4,11)
Equation : x =0
Symmetry with respect to xOz plane (edge 16)
Equation : y =0
Confinement to fiber surface (edges 9,14)
Equation : y2+z2=R2, with Rthe fiber radius
5.2 Volume and energies computation
Interfacial energies and contact angleThe energy ELV corresponding to the liquid - air interface is directly
calculated from the surface of facets (This is automatically done by Evolver when assigning an interfacial
energy
γ
LV to the facets).
The solid - liquid interfacial tension
γ
SL is obtained from
γ
LV and
θ
though the Young relationship :
γ
SL =
γ
LV .cos
θ
(the solid - vapor interface is not represented so
γ
SV =0). Since the liquid - fiber contacting
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Fig. 8 The initial drop geometry consists of 7 vertices, 16 edges and 6 faces. A first symmetry constraint is applied to edges 1 and 4 (Oyz
plane). A second symmetry constraint is applied to edge 16 (Oxz plane). The liquid - fiber contacting surface is not represented and the
corresponding energy is taken into account using a line integral along the contact line (edges 9 and 14 in red).
surface is not modelled, the corresponding energy ESL is obtained from a line integral along the contact line.
Considering cylindrical coordinates (r,
θ
,x),ESL can be written :
ESL =
γ
SL C
R.x.d
θ
(1)
Where curve Ccorresponds to the contact line of the drop on the fiber. Since R=y2+z2, this integral
can be re-written :
ESL =
γ
SL C
y2+z2
R.x.d
θ
=
γ
SL C
x.y
R.y.d
θ
+x.z
R.z.d
θ
(2)
Finally, from y=R.cos
θ
and z=R.sin
θ
, we introduce the following relationships :
dy=z.d
θ
(3)
dz=y.d
θ
(4)
Which enables to compute ESL in Evolver cartesian coordinate system through the following vector
integral:
ESL =
γ
SL C
x.y
R.dz+x.z
R.dy=
γ
SL C
e.
dl(5)
The vector integrand ise=
γ
SL.
0
x.y
R
x.z
R
Drop volumeDuring computation, the liquid drop is constrained to a fixed volume V. Since Evolver only
models surfaces, Vhas to be calculated from the drop facets. This is done using the divergence theorem:
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y
V
div
F.dV={
S
F.
dS(6)
Since the drop volume is tVdV, we need to integrate on the surface a vector
Fwhich satisfy div
F=1.
The solutions
F=y.eyor
F=z.ezare not correct because it will take into account volume of the wetted
fiber (this is because the drop - fiber interface is not represented). Thus we need to use
F=x.exand the
volume is obtaine through the following vector integral over the drop surface:
V={
S
x.ex.
dS(7)
Gravitational energySince gravitational energy EGis related to the drop volume, it is also computed using
the divergence theorem (equation 6). We now have to solve
.
F=
ρ
.g.z. Once again the general form
F=1
2
ρ
.g.z2.ezor the projection on yaxis with
F=
ρ
.g.y.z.eycannot be used because it will partially take
into account the fiber volume. As a consequence we use
F=
ρ
.g.x.z.exand gravitational energy is obtained
from the following vector integral over the drop surface :
V={
S
ρ
.g.x.z.ex.
dS(8)
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5.3 Model
/ / h a n g i n g c l a m s h e l l . f e
/ / By R . D u f o ur , J a n u a r y 2 0 1 2
VIEW TRANSFORM GENERATORS 2
1 0 0 0 / / x m i r r o r
0100
0010
0001
1000 / / y m i r r o r
01 0 0
0010
0001
/ / PARAMETERS MKS s y s t e m u n i t
p a r a m e t e r r o d r = 1 . 1 7 0E 004 / / f i b e r r a d i u s
p a r a m e t e r a n g l e = 8. 0 0 0E+ 00 1 / / c o n t a c t a n gl e w i t h f i b e r
p a r a m e t e r TENS = 7 . 28 0 E002 / / L i q ui d s u r f a c e t e n s i o n
p a r a m e t e r v o l = 5 . 00 0 E010 / / d r op v ol ume ( c ub ic m i c r o l i t e r s )
p a r a m e t e r d e n s = 998 / / d e n s i t y o f l i q u i d
#define r o d e (TENSc os ( a n g l e p i / 1 8 0 ) ) / / l i q u i d r o d c o n t a c t e n er g y
#define h t v ol ˆ ( 1 / 3 ) / / i n i t i a l d r o p d i m e n s i o n
#define wd v o l ˆ ( 1 / 3 ) / / i n i t i a l d r o p d i m e n s i o n
gravity constant 9.81 / / g r a v i t y i s 9 .8 1 m/ s ˆ 2
g a p c o n s t a n t 0 .0 0 1 / / t o a v o i d w r a p p in g a r ou n d f i b e r
s c a l e l i m i t 0 .5 / / s c a l e f a c t o r .
/ / VOLUME AND GRAVITATIONAL ENERGY
/ / vo lum e
q u a n t i t y f v i n t f i x ed = 0 .2 5v ol metho d f a c e t v e c t o r i n t e g r a l g l ob a l
vector integrand :
q1 : x
q2 : 0
q3 : 0
/ / G r a v i t a t i o n a l e ne rg y
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q u an t i t y g ra v x en er gy mod u lu s d en s m eth o d f a c e t v e c t o r i n t e g r a l g l ob a l
vector integrand :
q1 : Gxz
q2 : 0
q3 : 0
/ / CONSTRAINTS
c o n s t r a i n t 1 c on vex / / F i b e r s u r f a c e
f o r m u l a : y ˆ 2 + z ˆ 2 = r o d r ˆ 2
e n e r g y :
e1 : 0
e2 : r o d e xz / r o d r
e 3 : r o d e xy / r o d r
constraint 2 / / V e r t i c a l sy mme try p l an e ( x m i r ro r )
f o r m u l a : x = 0
c o n s t r a i n t 3 no n ne ga t iv e / / F i b er s u r f a c e ( t o p r e v e n t c a v i n g i n )
f o r m u l a : y ˆ 2 + z ˆ 2 = r o d r ˆ 2
constraint 4 / / V e r t i c a l sy mme try p l an e ( y m i r ro r )
f o r m u l a : y = 0
/ / IN I TI AL GEOMETRY
vertices
1 0 wd 0 constraint 2 / / e q u a t o r i a l v e r t i c e s
2 0 0 wd constraint 2,4
3 h t wd 0 / / u pp e r o u t e r c o r n e r s
4 h t 0 wd constraint 4
5 0 r od r 0 c o n s t r a i n t 1 , 2 / / l ow er v e r t i c e s on r od
6 h t r od r 0 c o n s t r a i n t 1 / / u ppe r v e r t i c e s o n rod
7 h t 0 r od r c o n s t r a i n t 1 , 4
edges
1 1 2 c o n s t r a i n t 2 / / e q u a t o r i a l e d ge s
4 5 1 c o n s t r a i n t 2
5 3 4 / / u p p er e d g e s
9 6 7 c o n s t r a i n t 1
10 6 3 / / u p p e r e d g e
11 1 3 / / v e r t i c a l e x t e r n a l e dg e s
12 2 4 c o n s t r a i n t 4
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14 5 6 c o n s t r a i n t 1 / / v e r t i c a l i n t e r n a l e dg es
16 4 7 c o n s t r a i n t 4 / / c u t t i n g t o p pl an e
f a c e s
1 1 12 511 t e n s i o n TENS c o n s t r a i n t 3 / / s i d e f a c e s
4 4 11 10 14 t e n s i o n TENS c o n s t r a i n t 3
6 5 16 9 10 t e n s i o n TENS c o n s t r a i n t 3
bodies
1 1 4 6
5.4 Critical volume computation
To obtain the maximal volumes of hanging drop, the above model was run from a C+ + program and di-
chotomy method was used to get cwith a accuracy of 0.1
µ
L. For each volume, an evolving procedure
was used (not shown here), consisting in a sequence of evolution and refinement steps. Progressive refine-
ment along zaxis was used because of important difference deformation length-scale (typically 10
µ
m
mesh element size was used around the fiber and 100
µ
mwas used for the bottom part of the drop).
We assumed equilibrium was achieved when reaching a 1010 % variation in energy, in that case the
probe volume was increased. Otherwise divergence was observed by mean of drop detachment from the
fiber.
It is to be noted that, from a general point of view, the drop fiber system can exhibit two different stable
configurations, corresponding to the barrel or clamshell drop shape. For the range of contact angle investi-
gated in this paper (
θ
ranging from 80to 120), the system can only present a barrel configuration (Energy
phase diagram and stability were previously studied by Chou et al.4, also achievement of a clamshell drop
is possible only for small contact angles, typically
θ
<50.
Thereby we expect only two cases: the droplet reaches the barrel configuration, which corresponds to a
local minimum of energy, or it falls from the fibers, and in that case the total energy keeps decreasing and
never reaches a minimum. These two cases are represented from an energetically point of view in figure 9.
System energy is represented as a function of the drop fiber contact length. Depending on the starting point
of the simulation, the numerical method can converge either to the barrel configuration or to the falling off
of the droplet. Because the numerical method uses energy gradient descent, starting points B and C in the
example of figure 9 will converge to the barrel drop while starting point A will result in drop fall, without
finding the metastable barrel state.
To avoid this problem of bi-stability, it is preferable to get the initial drop configuration close to point C,
so that if a metastable barrel shape exists, it will not be missed during energy minimization. For this reason
the initial drop shape used for the simulations presents an important drop fiber contact length (shown
below), which corresponds to point C in figure 9. Thereby during shape evolution it will converge to
the barrel configuration if the latter exists, otherwise the contact length decreases down to 0, leading to a
spherical droplet disconnected from the fiber (shown below).
References
1 R. Dufour, M. Harnois, Y. Coffinier, V. Thomy, R. Boukherroub and V. Senez, Langmuir, 2010, 26, 17242–17247.
2 R. Dufour, M. Harnois, V. Thomy, R. Boukherroub and V. Senez, Soft Matter, 2011, 7, 9380–9387.
3 E. Lorenceau, C. Clanet and D. Quere, J. Colloid Interf. Sci., 2004, 279, 192–197.
4 T. H. Chou, S. J. Hong, Y. E. Liang, H. K. Tsao and Y. J. Sheng, Langmuir, 2011, 27, 3685–3692.
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E
L
ABC
Fig. 9 Energy landscape for the drop on fiber system. Depending on the starting point A, B or C, the numerical method (energy gradient
descent) can result in the barrel configuration or falling off of the droplet.
Fig. 10 Top: initial drop shape before evolution. The initial drop fiber contact length is important so that the numerical method cannot miss
the metastable barrel configuration. In this example the contact angle is
θ
=100. For a volume =5.3
µ
L, the numerical method converges
to the barrel shape (bottom left) while for a slightly larger volume =5.6
µ
L, contact length decreases down to 0 and drop falls down
(remaining attached to the fiber by a single edge.
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... Electrowetting on dielectrics (EWOD) is a widely used technique for manipulating liquids and other soft matter at the microscale. [1][2][3][4][5][6][7][8][9] The electrowetting effect, in general, describes the contact-angle change upon applying an electrical voltage. [10][11][12] Displays, 13 tunable lenses, [14][15][16] or optical switches 17,18 based on the EWOD effect have been reported in the literature. ...
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... 6, 7, and 8 of Ref. [37]). The detachment forces shown in Fig. 7 for the smooth fiber are of the same order of magnitude as those in [34][35][36]. ...
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This paper reports on our investigation of the effects of surface roughness on the equilibrium shape and apparent contact angles of a droplet deposited on a fiber. In particular, the shape of a droplet on a roughened fiber is studied via the energy minimization method implemented in the Surface Evolver finite element code. Sinusoidal roughness varying in both the longitudinal and radial directions is considered in the simulations to study the effects of surface roughness on the most stable shape of a droplet on a fiber (corresponding a global minimum energy state). It is found that surface roughness delays droplet shape transition from a symmetric barrel to a clamshell or an asymmetric barrel profile. A phase diagram that includes the effects of fiber roughness on droplet configurations––symmetric barrel, clamshell, and asymmetric barrel––is presented for the first time. It is also found that droplet apparent contact angle tends to decrease on rough fibers. Likewise, roughness tends to increase the force required to detach a droplet from a fiber but the effect diminishes as droplet size increases relative to the size of surface roughness. The results presented in our study have been compared with experimental data or those from prior studies whenever possible, and good agreement has been observed.
... Moreover, electrowetting has been used to change the properties of the droplets hanging from fibers and therefore to provoke the transition. 9,11,12 The influence of gravity has also been investigated. 9,10 Recent works 13,14 demonstrated that droplets on fibers may constitute the starting point of an open digital microfluidics, emphasizing the interest for those systems. ...
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We analyze the process of electrowetting-induced jumping of droplets away from a substrate with a geometric heterogeneity in the form of a cone and compare the results with those of a flat substrate in different wettabilities and hydrophobicities. Our results reveal that the droplet dynamics can be enhanced through applying a topographic heterogeneity. However, increasing the height of the cones does not always provide a better condition for the jumping and there is an optimum value for the height of the cones. The enhancement is due to the fact that more liquid flowing affects the pressure gradient within the droplet leading to a higher jumping velocity. It is shown that for the flat surface most of the kinetic energy can be converted into the oscillations of the droplet during retraction and would not contribute to the droplet jumping. The substrate contact angle has a significant effect on the jumping height of the droplet. As the contact angle increases, the maximum value of jumping height increases. Also, for the heterogeneous substrate, the surface energy decreases faster. By drawing a diagram, we specify regions that a droplet as a function of the substrate contact angle and the height of the cone at a constant Ohnesorge number is separated from the substrate. The results indicate that by reducing Ohnesorge number, the separation of the droplet occurs at smaller equilibrium contact angles. When the height of the cones becomes larger than the optimum value, the pinning of the droplet in the cone region gradually dominate and the energy barrier for the separation increases and a more hydrophobic substrate for the separation is required. The effect of Ohnesorge number on the optimum value has been discussed.
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Chapter
In material science, simulations became a common tool for the understanding of the underlying behaviour of different classes of materials. Due to the growing complexity of problems at hand, the simulation domains, and therefore the computational effort is steadily increasing. We presents various application of the phase-field method; ranging from the solidification of ternary eutectics and pure ice systems to the interaction of multiple liquid phases on fibers. All these topics have in common, that they need a large number of cores to investigate the decisive physical effects in adequate time. We show an overview of the results for this wide range of applications and the scaling behaviour of the used software frameworks.
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Electrowetting can be utilised to provide the pixel engine for a reflective display. By contracting a colored oil film electrically, an optical switch with a high reflectivity (> 40%) and contrast (15) is obtained. In addition to the attractive optical properties, the principle exhibits a video-rate response speed (< 10 ms) and has a clear route toward a high-brightness color display (1). Here we additionally show that the display principle is readily scalable to a pixel size of 160 µm (160 DPI).
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Drops on cylindrical fibers are a familiar sight, for instance in the form of dew drops on spider webs. They can exist in two competing morphologies, a cylindrically symmetric barrel state completely engulfing the fiber and an asymmetric clamshell state, in which the drop touches the fiber only sideways. Despite their omnipresence and their practical relevance, e.g. for the adherence of drops to fibers in separation technology and filter materials, the physical mechanisms governing the stability of the two morphologies remained elusive. Using electrowetting-functionalized fibers we can tune the wettability of the fibers and thereby reversibly switch between the two states. This allows determination of the stability limits of both morphologies as a function of the two relevant control parameters, namely the contact angle and the liquid volume. While clamshells are found to prevail for large contact angles and small volumes, and barrels prevail for small angles and large volumes, there is also a wide range of intermediate parameter values, for which both morphologies are mechanically stable. Mapping out the energy landscape of the system by numerical minimization of the free energy we find that the barrel state is easily deformed by non-axisymmetric perturbations. Such perturbations facilitate the transition to the clamshell state and thereby the removal of drops from the fibers. From a general perspective, the demonstration of electrowetting-based reversible switching of liquid morphologies on fibers opens up opportunities for designing functional textiles and porous materials for various applications in detergency, filtering, and controlled absorption and release of liquids.
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Electrowetting has become one of the most widely used tools for manipulating tiny amounts of liquids on surfaces. Applications range from 'lab-on-a-chip' devices to adjustable lenses and new kinds of electronic displays. In the present article, we review the recent progress in this rapidly growing field including both fundamental and applied aspects. We compare the various approaches used to derive the basic electrowetting equation, which has been shown to be very reliable as long as the applied voltage is not too high. We discuss in detail the origin of the electrostatic forces that induce both contact angle reduction and the motion of entire droplets. We examine the limitations of the electrowetting equation and present a variety of recent extensions to the theory that account for distortions of the liquid surface due to local electric fields, for the finite penetration depth of electric fields into the liquid, as well as for finite conductivity effects in the presence of AC voltage. The most prominent failure of the electrowetting equation, namely the saturation of the contact angle at high voltage, is discussed in a separate section. Recent work in this direction indicates that a variety of distinct physical effects---rather than a unique one---are responsible for the saturation phenomenon, depending on experimental details. In the presence of suitable electrode patterns or topographic structures on the substrate surface, variations of the contact angle can give rise not only to continuous changes of the droplet shape, but also to discontinuous morphological transitions between distinct liquid morphologies. The dynamics of electrowetting are discussed briefly. Finally, we give an overview of recent work aimed at commercial applications, in particular in the fields of adjustable lenses, display technology, fibre optics, and biotechnology-related microfluidic devices.
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This article describes the equilibrium shape of a liquid drop under applied fields such as gravity and electrical fields, taking into account material properties such as dielectric constants, resistivities, and surface tension coefficients. The analysis is based on an energy minimization framework. A rigorous and exact link is provided between the energy function corresponding to any given physical phenomena, and the resulting shape and size dependent force term in Young’s equation. In particular, the framework shows that a physical effect, such as capacitive energy storage in the liquid, will lead to 1/R “line-tension”-type terms if and only if the energy of the effect is proportional to the radius of the liquid drop: E∝R. The effect of applied electric fields on shape change is analyzed. It is shown that a dielectric solid and a perfectly conducting liquid are all that is needed to exactly recover the Young–Lippmann equation. A dielectric liquid on a conducting solid gives rise to line tension terms. Finally, a slightly resistive liquid on top of a dielectric, highly resistive solid gives rise to contact angle saturation and accurately matches the experimental data that we observe in our electro-wetting-on-dielectric devices. © 2003 American Institute of Physics.
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We study experimentally the behaviour of a drop deposited on a conical fibre. It is shown that for wetting liquids, such a drop spontaneously moves towards the region of lower curvature. The driving force is measured and shown to be a gradient of Laplace pressure, which allows us to characterize the dynamics of these self-propelling drops. We conclude by discussing the efficiency of this device for drying a solid initially coated with a liquid film.
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In this letter, we discuss the behavior of droplets on fiber networks. An on/off transition is observed when a droplet comes around an intersection between several fibers: large droplets cross the junction while small droplets remain pinned. We show that fibers perform advantageously most operations of digital microfluidics, such as multiplexed biochemical microreactions: intersections are the basic component of fiber-based microfluidic devices. (C) 2009 American Institute of Physics. [DOI:10.1063/1.3157141]
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The shape of a small liquid drop on a small diameter fiber may be either an axisymmetric barrel shape or it may be a non-axisymmetric clam-shell shape. Experiments show that when the reduced volume, given by the volume of droplet divided by the fiber radius, is large the barrel shape is the preferred conformation, but that as the volume reduces a transition to a clam-shell (pearl) shape occurs. The volume at which this stability transition occurs depends upon the equilibrium contact angle. In this work we review the known solution to Laplace's equation for the barrel shape and consider the link between the profile, the inflexion in the profile and the stability of the droplet. No known solution of Laplace's equation exists for the clam-shell shape droplet. We therefore consider a finite element approach to determining the possible shapes of a droplet on a fiber and give numerical results for the clam-shell profile. The surface free energies for the two types of droplet conformation on a fiber are computed for several droplet volumes and equilibrium contact angles and the implications of this for droplet stability are discussed.
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In this work, we explore the influence of the surface curvature on the contact angle in electrowetting (EW). By using the method of energy minimization, an extended EW equation for EW on curved surfaces is obtained. A curvature-modified EW number is introduced to describe the surface curvature effect. It is found that the variation of the contact angle will be curvature dependent; especially, with decreasing of the system size, the surface curvature effect would be even more significant. Comparing with the planar situation, the contact angle variation decreases on convex surfaces but increases on concave surfaces. Then considering the line tension effect, an extended expression for EW on curved surfaces is proposed. Since curved surfaces are more common, both natural and synthetic, our findings will have important implications for the miniaturization of future electronic products.
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A liquid surface of arbitrary shape is, in general, dynamically unstable due to gradients in Laplace pressure. This greatly limits the class of morphologies eligible for artificial fluid microstructures. In this work, we demonstrate that a wide class of these otherwise unstable surface morphologies can be stabilized using electrostatic fields. Complex stable fluid microstructures were generated in a conventional electrowetting setup operated at high voltage. We present an electrostatic model that explains the stability and the scale of the stable structures as a function of external control parameters. The stability as well as the universality of these structures naturally leads to novel concepts in microfluidic technology.
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