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Cellular instabilities in directional solidification
S. de Cheveigné, C. Guthmann, M.M. Lebrun
To cite this version:
S. de Cheveigné, C. Guthmann, M.M. Lebrun. Cellular instabilities in directional solidification. Jour-
nal de Physique, 1986, 47 (12), pp.2095-2103. �10.1051/jphys:0198600470120209500�. �jpa-00210403�
Cellular instabilities in directional solidification
S. de Cheveigné, C. Guthmann and M. M. Lebrun
Groupe de Physique des Solides de l’Ecole Normale Supérieure, Université Paris VII, Tour 23, 2 Pl. Jussieu, 75251 Paris Cedex 05, France
(Requ le 3 juillet 1986, accepté le 28 aoat 1986)
Résumé.
2014Nous avons étudié la morphologie de l’interface solide-liquide lors de la solidification directionnelle d’échantillons minces (5-150 03BCm) d’un alliage binaire dilué (CBr4/~ 0,1 % Br2). Au-dessus
d’une vitesse de tirage critique, à concentration de soluté et gradient de températures données, l’interface qui
était plane au départ, présente une déformation cellulaire périodique. La bifurcation d’un front plan à un front
cellulaire est sous-critique. La vitesse de tirage critique est fortement dépendante de l’épaisseur de
l’échantillon : on ne peut pas considérer le problème comme bi-dimensionnel. Nous avons également mesuré
les longueurs d’onde au seuil et au-dessus ainsi que les temps de réponse. Nous comparons ces résultats aux
prédictions théoriques existantes.
Abstract.
2014We have studied the morphology of the solid-liquid interface during the directional solidification of thin (5-150 03BCm) samples of a dilute binary mixture (CBr4/~ 0.1 % Br2) . Above a critical pulling speed,
for a given temperature gradient and solute concentration, the interface, initially planar, breaks down into a
periodic cellular pattern. The bifurcation from a planar to a cellular solidification front is sub-critical. The critical pulling speed is strongly dependent on the thickness of the sample : the problem cannot be considered
two-dimensional. We have also measured wavelengths at, and above the threshold and examined response times. These results are compared to existing theoretical predictions.
Classification
Physics Abstracts
64.70D
-81.30D
1. Introduction.
The existence of morphological instabilities [1] defor- ming the solid-liquid interface of directionally solidi-
fied dilute binary alloys is a phenomenon well
known to metallurgists [2]. Samples are pulled at a
certain velocity V in a fixed temperature gradient G
and are thus progressively solidified. If the equili-
brium concentration of the solute is different in the
liquid and in the solid, an excess (in the case of the compounds studied here) or a lack of solute builds up in front of the moving interface and must be evacuated to allow solidification to progress. Above
a threshold pulling speed, for given temperature gradient and concentration, the interface becomes unstable and breaks down into a regular, periodic pattern (Fig. 1).
Metallic alloys, because of their opacity, are not
the most practical systems on which to study the
behaviour of such instabilities : samples have to be quenched or decanted to allow the observation of a
solid-liquid interface which may be affected by this
treatment. The study of thin samples of transparent organic compounds, first suggested by Jackson and
Hunt [3] in 1966, allows direct observation, under
the microscope, of the dynamics of the solid-liquid
interface during solidification. Some such
Fig. 1.
-Well-developed cells (CBr4’ V = 3V+c, .
A - 50 JLm).
Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphys:0198600470120209500
2096
compounds, in general plastic crystals, present a rough interface which does not facet, and in that respect they behave like metals. The most frequently
studied are tetrabromomethane CBr4 and succi-
nonitrile (CH2CN ) 2.
In the present study we have tried to pinpoint the
various factors which affect first the onset of cellular
instabilities, then the periodicity of the resulting pattern of interface deformation, in thin (5-150 pm) samples. Most of the experiments were performed
with CBr4, but the results were generally checked
with succinonitrile, both compounds being used as supplied. Impurity concentrations were therefore
fixed, pulling speeds, temperature gradient, and sample thicknesses were varied. We did not consider the problem of dendrite formation during directional
solidification, extensively studied in transparent organic materials [4-6]. This phenomenon takes place well above the threshold at which morphologi-
cal instabilities first appear (above about 10 times
the threshold pulling speed, for a given temperature gradient and impurity concentration). On the
contrary, most of the work described here was done to gain better knowledge of the behaviour of the system at, or near, the threshold.
2. Theory.
A number of authors have attempted to give a dynamical description of the phenomena occuring during directional solidification of dilute binary alloys in thin samples, when the system is definitely
out of equilibrium. The linear stability of the planar
solution for the solid-liquid interface was originally
studied by Mullins and Sekerka [7] in 1964. They
described the balance between the destabilizing
effect of the accumulation of solute in front of the
solid-liquid interface and the stabilizing effects of the temperature gradient and of the surface tension.
Wollkind and Segel [8] reformulated this analysis
and went beyond, giving a non-linear stability analy-
sis using perturbation methods valid only close to the
threshold. Caroli, Caroli and Roulet [9] extended
this analysis to the case where diffusion in the solid
phase is not negligible. A number of numerical
calculations have also been performed [10-21]. All
these theories tacitly suppose that the sample may be considered infinite in the direction perpendicular to
the plane of the sample, i.e. that the deformations
are one dimensional along the interface. We shall
see below that this is not the case.
Let us recall some of these results. Diffusion
equations for heat and solute are written in both the solid and the liquid phases. The interface conditions
are the source of the non-linearity of the problem,
because the temperature and concentration fields
depend non-linearly on the shape of the interface. In the linear stability analysis, first performed by Mul-
lins and Sekerka [7], a small sinusoidal perturbation
is superimposed on a planar interface, and the
conditions under which it is amplified or damped are
determined. At low velocities the equations defining
neutral stability can be expanded in terms of the
wavenumber, which is also small, and one in fact obtains, to the lowest order, a modified (1) version
of what is known as the « constitutional supercooling
criterion » [22] :
where G, is the critical temperature gradient, Vc the
critical pulling speed, Coo the mean solute concentra- tion, m the liquidus slope, k the partition coefficient and DL the solute diffusion coefficient in the liquid.
The ratio v
=V C 00 /G appears as the control parameter.
Under the conditions of the present experiments,
the second order correction to relation (1) is at most
of a few percent. It can be important, particularly at higher pulling speeds [23, 24].
To the same order of approximation, one can also
write the wavelength A MS of the « critical mode »
(i.e. the first neutrally stable mode encountered when the control parameter is increased) :
where q is characteristic of the material :
y is the solid liquid surface tension, C the latent heat,
p the density. The expression for A ms is obtained
assuming an infinitesimally small amplitude perturba-
tion.
A non-linear analysis can describe analytically the
way in which an initially instable perturbation evol-
ves close to the threshold, using an « amplitude equation » :
The various possible evolutions are discussed in references [8] and [9]. Under the present experimen-
tal conditions (low velocity, a partition coefficient k 0.45 and a temperature distribution decoupled
from the instability because it is imposed from the
outside by the glass cell [25]) a subcritical bifurcation is predicted - and as we shall discuss below, it is indeed observed. This means that the’ amplitude of
the deformation is never infinitesimal so the ampli-
tude equation cannot be used to make further predictions:
One would nevertheless like to have predictions concerning the cell shape and the wavelength at
(1) Mullins and Sekerka’s result replaces the tempera-
ture gradient by the average of its values in the solid and in the liquid. In the present experiments the gradient is imposed externally and has the same value in the solid and in the liquid. In that case, as in the case of equal thermal
conductivities in both phases, Mullins and Sekerka’s result
reduces to the « constitutional supercooling criterion ».
velocities above the threshold. To answer this ques-
tion, a certain number of numerical calculations have been performed. The first models relied on the
amplitude equation and the hypothesis of infinitesi-
mally small deformations. Langer [10,11] developed
a « symmetrical » model - equal solute diffusion
coefficients in the solid and in the liquid
-which, although it was not very realistic, gave a qualitative picture of the phenomena. For example, with this model, Dee [12], assuming that pattern selection
takes place by propagation along the front of the
« wall » between two regions of different cellular
wavelengths, finds a well-defined wavelength that
decreases with increasing velocity. On the other hand he does not predict cell shapes.
Using a more realistic « one-sided » model
-
which neglects solute diffusion in the liquid
-but
still using the amplitude equation, Kerszberg [13-15]
derived the equation of movement of a deformed
front. He obtained quite a good representation of
the shape of a cellular interface. The wavelength was
not uniquely determined but is restricted to an
interval.
To approach the problem of wavenumber selec-
tion, Kerszberg studied the effect of Gaussian white
noise on the dynamics of the interface, again by a
numerical simulation. A unique wavevector is selec- ted in this manner. The noise induces the disappea-
rance or the division of cells in a manner very similar to what is observed experimentally (compare Fig. 4
of Ref. [15] to Fig. 4 of the present article). The
value of k « selected » by the noise is given as a
function of the constraint parameter v a V/DL G.
Unfortunately his calculation does not go far beyond
the threshold ( A v / v == 5 X 10-3) . The selected
wavelength increases with increasing pulling speed,
at a given temperature gradient.
McFadden and Coriell [16] apply a one-sided
model to an Al-Ag alloy, without using the ampli-
tude equation. They use the solute concentration
Coo as the control parameter. (It should be noted that for the experimentalist, V is a more « natural »
parameter since it can be varied rapidly and easily).
Their predictions concerning the wavelength are particularly pertinent to the case of a subcritical bifurcation : a relatively large amplitude perturba-
tion of wavelength smaller than that of the most unstable linear mode can develop. It appears explici- tly, as expected, that the critical wavelength calcula-
ted by the linear analysis is not valid in the case of a
subcritical bifurcation. Above the threshold concen- tration C * , the wavelength evolves towards smaller values. When values larger than the most unstable
linear wavelength A * are tested, they are shown to decay and to be replaced by their first harmonic at half wavelength which is smaller than A *.
Ungar and Brown [17-20] also avoid the amplitude equation. They use -a one-sided mode and suppose
equal thermal conductivities in the solid and in the
liquid. They work with the temperature gradient as a
control variable at fixed pulling speed (once again,
these are not the most practical experimental condi-
tions). Using finite element methods, they predict
the presence of two successive bifurcations, the first
to a deformed interface with a periodicity À, the
second to a periodicity A/2, but the second bifurca- tion is predicted to be so close to the first (AV/V - 191,,) as not to be visible experimentally.
The predictions of Ungar and Brown [20] concer- ning deep cell morphology well above the threshold
are particularly interesting. They are based on the hypothesis that the wavelength does not change with increasing constant
-a hypothesis contrary to expe- rimental results. Nevertheless, the evolution of cell
shape is very well described (compare for example Fig. 10 of Ref. [20] to Fig. 1 of the present article- both are at V - 3-5 Vc.)
Very recently, Karma [21] has applied a boundary
model to simultaneously obtain the shape and wave- length of well developed cells. This work is still in progress, but the preliminary results seem promising.
3. Experimental.
Most of the work presented here was done with
tetrabromomethane CBr4 . Some experiments
were also carried out on succinonitrile (CH2CN) 2’
for comparison. Succinonitrile has been extensively
characterized both when pure and mixed with ace- tone, by Glicksman [4]. Table I gives data concerning CBr4. We use the compound as provided by Fluka,
Table 1.
-Physico-chemical constants for CBr4.
without further purification. The main impurity is given as Br2. We performed Differential Scanning Calorimetry measurements on the material. This
provided us with a curve of the energy absorbed
versus temperature during melting. By fitting succes-
sive melted fractions (from 1/8 to 1/3) versus
temperature to the van t’Hoff formula, we obtained
an impurity concentration Coo
=0.12 ± 0.02 mol. %,
a liquidus slope m
=2.9 ± 0.2 K/mol. % and a parti-
tion coefficient k
=0.16 ± 0.01. A melting tempera-
ture of 93.3 ± 0.2 °C for the pure compound was calculated. The phase diagram for Br2 in CBr4 reported in reference 26 gives m
=2.73
± 0.2 K/mol. % with TM
=92.5 °C. We also perfor-
2098
med the same measurements and calculations on
succinonitrile (Koch-light and Eastman) ; they gave Coo
=0.45 ± 0.05 mol. %, m
=2.20 ± 0.05 K/mol.
% and k
=0.12 ± 0.01. The melting temperature for the pure compound was calculated as 58.1 ± 0.3 °C.
The diffusion coefficient for Br2 is missing but we
shall estimate below a value of 1.2 ± 0.4 x
10- 5 cm2/s.
The pulling stage is essentially similar to that proposed by Jackson and Hunt [3]. Cell preparation
is described in reference [25] ; sample thicknesses
are measured to within ± 2-3 pm and are uniform to within ± 5 pm. The temperature of the sample is imposed by the glass cell which is a far better conductor of heat than the sample itself. Particular
care was taken to avoid residual vertical temperature gradients which strongly affect the experimental
results (see below).
The experiments are video-taped which allows the
pulling speed to be measured precisely (± 0.1 Rm/s).
Wavelengths are averages over at least 10 cells.
4. Results and discussion.
Before presenting our experimental results, we
believe that some preliminary remarks are necessary.
First, when studying dynamical phenomena, where
fluctuations play such an important role, a certain
amount of dispersion in the results is inevitable.
Another point is that all the important parameters of the problem have not yet been isolated and can
easily be missed
-this was the case of the sample thickness, the effect of which is decribed below. Just
as in the case of hydrodynamic instabilities, nume-
rous and repeated experiments must be performed
before definite conclusions can be drawn.
4.1 RESPONSE TIMES.
-In the present experiments
we have tried to observe the solid-liquid interface in
a stationary state and this can take a long time. To
illustrate this we have plotted the time it takes the interface to begin to deform visibly after the pulling speed is suddenly changed from a zero value (the
time it takes to reach a steady state is even longer).
Figure 2 shows the curves of T versus the final speed
V for CBr4 ; the points we obtain for succinonitrile fit the same curve, as do most of the response times
reported by Somboonsuk et al. [27] for a succinonitri- le-acetone solution. The final speed is the pertinent parameter since it is at that speed that the concentra-
tion profile adjusts.
The response time in fact contains two terms. The
first, a solute diffusion term, is roughly the time it takes to establish the steady state concentration
profile after begining to solidify a sample. This can
be estimated as [22] :
The second term is due to the thermal response of
Fig. 2.
-Response time versus pulling speed (see text).
the glass cell and is expected to be preponderant at higher pulling speeds. To explain this, the cell can be
considered as a heat conducting bar moving at velocity V across the two heat reservoirs (Fig. 3a). In
the laboratory frame, the temperature 7y at z satisfies, in the stationary state, the equation :
where DG is the thermal diffusivity of glass. With Ty(O) = T, and Ty(L) = T2, the solution is :
Fig. 3.
-a) Schematic representation of the cell moving at velocity V across the heat reservoirs. Tl > T M > T2;
b) Temperature profiles for V
=0 and V > 0.
i.e. the temperature profile is no longer linear as it is
when V
=0 (Fig. 3b) and the average temperature of the cell has increased. The term in the response time which corresponds to the time it takes the cell to fit the new thermal conditions is preponderent at high pulling speeds, It is the value at which T levels off: about 10 s in the present case. The thermal component is negligible at speeds lower than
~