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Influence of various hydrodynamic regimes in a melt on a solidification interface

J.J. Favier, A. Rouzaud, J. Coméra

To cite this version:

J.J. Favier, A. Rouzaud, J. Coméra. Influence of various hydrodynamic regimes in a melt on a

solidification interface. Revue de Physique Appliquée, Société française de physique / EDP, 1987, 22

(8), pp.713-718. �10.1051/rphysap:01987002208071300�. �jpa-00245600�

(2)

713

Influence of various hydrodynamic regimes in

a

melt

on a

solidification interface

J. J.

Favier,

A. Rouzaud and J. Coméra

CEA-IRDI-DMECN-DMG-SEM, Laboratoire d’Etude de la Solidification,

Centre d’Etudes Nucléaires de Grenoble, 85X, 38041 Grenoble Cedex, France

(Reçu

le 10 octobre 1986, révisé le 24

février

1987, accepté le 28 avril

1987)

Résumé. 2014 L’influence de divers

régimes hydrodynamiques

dans un bain

liquide

sur une interface L/S est

analysée expérimentalement

et de façon continue

depuis

un

simple

écoulement laminaire

jusqu’à

la turbulence

développée.

La

représentation

des modes convectifs dans

l’espace

de Fourier met en évidence l’alternance de

zones

chaotiques

et de zones oscillantes

lorsque

le

champ thermique

est

progressivement

élevé. De

plus

un

mécanisme bien connu

d’apparition

de la turbulence

(mécanisme

de

Feigenbaum)

semble retrouvé

expérimentalement.

L’examen de l’incidence de tels

régimes

sur la solidification termine cette étude.

Abstract. - The influence of various convective levels in a melt on a S/L interface is

experimentally investigated

in a continuous way from pure laminar flows to turbulent ones.

Simple description

in the Fourier space makes apparent a chaotic and

oscillating

zones alternance when thermal field is

progressively

increased.

A classical theoretical transition towards the chaos

(Feigenbaum mechanism)

seems to be identified. Influence

on

crystal growth

is

finally

examined.

Revue Phys.

Appl.

22

(1987)

713-718 AOÛT 1987,

Classification

Physics Abstracts

47.25Q - 68.45 - 81.10F - 81.30F

1. Introduction.

Growth from melt is until

today

the main

practical

art to obtain suitable

single crystals.

The

hydrodyn-

amic state of the

liquid phase during

the

growth

is a

primordial

parameter with

regard

to the electronic

properties

of so grown

materials,

because of its

high

influence on the

dopant

distribution

[1].

Since some

ten years an

important

effort has been undertaken in order to

quantify

such an effect

[2, 3].

Basic ideas

are now well established but

unfortunately

the non-

linear conservation

equations, supplied

with appro-

priate complex boundary

conditions on the S/L

interface,

does not allow an accurate numerical simulation in the

general

case of

high

convective

regimes.

The lack of

adequate

mathematical tool to

analyse

all of the

possible experimental configura-

tions from the pure diffusive flow to the turbulent one, gave rise to two different theoretical ap-

proaches :

- either turbulent flows

modeling by

classical

fluctuations methods

[4, 5],

- or

performing weakly

non-linear

expansions starting

from known linear solutions of low convec-

tive systems

[6].

Concurrently,

available

experimental

works on

crystal growth

are

classified,

often

arbitrarily,

ac-

cording

to these two

limiting

cases, into « low » or

«

high »

convective

experiments.

Our

experimental

aim is

quite

different since we

preferred

to

qualitatively analyse

the influence of convection on a S/L interface in a metallic or

semiconductor

sample,

over a wide continuous

range of convective states in the

liquid phase.

Today,

transition towards chaotic state are not

really

understood and three mechanisms at least are prop- ounded

by

Ruelle-Takens

[7],

Pomeau-Man-

neville-[8]

and

Feigenbaum [9]. So,

the

single

ambi-

tion of the

present

paper consists on

describing

the

strong

influence of chaotic

liquid

motions on a S/L

interface.

2.

Experimental

set-up.

To correlate

hydrodynamics signals

and S/L interface response

requires

some restrictive

experimental

con-

ditions. Indeed a non

disturbing

method must be

used to measure the evolution of a

given

interfacial parameter. The

simplest

way to

perform

such an

experiment

consists on

simultaneously measuring

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/rphysap:01987002208071300

(3)

714

Fig.

1. - Artistic view of Mephisto.

the thermal field at a fixed

place

in the

liquid

close to

the S/L

front,

and the real interface

temperature.

The device

[10, 12],

shown in

figure 1,

allows such measurements. This

apparatus

is based on Seebeck effect

[10, 11, 13],

a cross effect which links thermal and electrical forces in a

conducting

medium. Con-

sidering

the thermoelectric

loop

made up

by

the

Solid/Liquid/Solid metallic alloy

described in

figure 2,

Seebeck

voltage

is defined

by :

Assuming

that 17s, 17L, the solid and

liquid

absolute

Seebeck coefficient remain constant over

one

obtains, following

the formalism defined in

figure

2 :

where 0394T means the

temperature

difference between the two

Liquid/Solid junctions.

At rest, when no

pulling

is

performed, temperature

of both interfaces

is

obviously

the same unless local

unsteady

convec-

Fig. 2. - Thermoelectric loop used in Mephisto.

(4)

715 tive motions induce a L/S front

displacement.

In this

last case, or when a

pulling

rate is

extemally imposed by moving

the movable

furnace,

kinetic

and/or solutal effects may introduce an

undercooling

à

linearly

linked to the Seebeck

voltage provided

that the Seebeck coefficient

(ns - ’TI L)

can be re-

garded

as a constant.

Though

the

experiment princi- ple

is

elementary,

its

practical carrying

out

requires

to take many

precautions.

Indeed metals

being

poor

thermocouples,

the

voltages

to be measured are very low.

Moreover,

to assume Seebeck

voltage only depending

on S/L metal

junctions requires

to avoid

thermoelectric effects at Cu wire/solid

sample junc- tions,

which supposes to

keep

them at a same

arbitrary temperature To (see Fig. 2). Today

a

differential

temperature regulation

at the

sample

ends

ranging

about 5 x

10- 3

K is

obtained, inducing

a maximum electric noise about 30 x

10- 9

V.

By using

an accurate

nanovoltmeter,

an

undercooling

higher than

2 x

10- 2

K is thus tracked down in the metallic or semiconductor

alloy. Finally,

it must be

pointed

out that this method is not

perturbative

since no current flows

along

the

sample.

In order to

locally

measure the thermal

field,

which can be varied with the

help

of the

correspond- ing furnace,

two thin

thermocouples

of 0.25 mm in

diameter are inserted in the

liquid phase,

near the

two interfaces. A

typical experimental temperature profile

which can be achieved in MEPHISTO is shown on the

top

of

figure

1. The

good isothermicity

is ensured

by

sodium heat

pipes. Experiments

are

performed

in an horizontal

configuration.

The device

shown in

figure

2 allows to achieve solidification and

melting cycles

over a 150 mm

length.

However in

order to

separate

thermal effects due to convective motions from the ones

imposed by solidification, experiments

have been

performed

without

pulling.

Therefore no Seebeck

voltage

is

expected

at the

equilibrium.

The metallic

alloy presently

used was a

Sn 1 at. % Bi

sample,

80 cm

long,

whose ther-

mophysical properties

and absolute Seebeck coeffi- cients are

perfectly

known.

Special

calibrations of the thermoelectric power have been carried out

separately [10].

In our

experimental hydrodynamic configuration,

the

longitudinal

thermal

gradient,

normal to the S/L

interface,

is

obviously

the main

driving

force for

convection since it is

orthogonal

to the

gravity

vector.

So, increasing

the furnace

regulation

tem-

perature increases the thermal

gradient

in the

liquid,

therefore raises convective motions in the

liquid alloy

from a laminar state up to a chaotic one. In this way,

following

the classical

terminology

used in the turbulence

analysis (see

for

example [9]

or

[17]) imposed temperature regulation

will sometimes be called below stochastic

parameter.

At the

beginning

of the

experimental

program, both furnaces are

regulated

at 600

°C,

which is the

lowest

working temperature

for sodium heat

pipes.

Once the

equilibrium

is

reached,

a low thermal

perturbation

is

imposed

at one of the L/S

interfaces, by

a small

change

in the

regulation temperature

of the

facing furnace,

up to the onset of an

oscillatory regime

in the

liquid

bulk. This is easy to obtain for low Prandtl number

fluids,

as

explained by

Azouni

[14].

Once such a

regime

is

observed,

the

concerned furnace temperature is stabilized and thermal fluctuations in the

liquid

and at the interface

(Seebeck signal)

are

digitized

and recorded. After

that, temperature

of the same furnace is

progressive- ly

increased in some

stages

up to the maximum available temperature of 960 °C. An automatic data

acquisition

is

performed

at each stage.

3.

Expérimental

results.

The main data channels are scanned every 0.3 s.

This

scanning

rate is

perfectly compatible, according

to Shannon

theorem [15],

with the

analysed

pre- filtered

signals

bandwith

(0-1 Hz).

Recorded

signals

are next

processed by

a

desktop

computer which calculates their Discrete Fourier Transform

by using

a classical Fast Fourier Transform

algorithm [16].

Typical digitized

data and their

corresponding

DFT-

FFT are

presented

in

figure

3 where an

exciting oscillating hydrodynamic regime,

as measured

by

the thermal

probe (channel2),

is observed for a

given temperature

of 800 °C. The related output Seebeck

signal (received

on

channel 1)

exhibits a

similar behaviour.

Mathematically

this suggests a

quite good

correlation of

signals

between the

input

and the

output

of the

quasi

linear system made up

by

the S/L

junction

and the

neighbouring liquid.

Such a

correlation is also verified for other temperatures

ranging

between 600 °C and 900 °C. In order to

directly

visualize all of the

experiments,

another

description

has been chosen

by plotting

a top view of both Fourier spectra for the various

experiment working

temperatures. The relative

height

of the

various

peaks

is achieved

by drawing

spectra level lines in the

(frequency-temperature) plane.

Due to

their discrete nature

imposed by

a finite measure-

ment

duration,

near about 200 s, such

plotted

maps

are difficult to

quantitatively analyse

but present the

prime advantage

to

give

a

comprehensive

overall

picture.

Three

experiments

series have been

performed

under the same

experimental

process.

They

are

presented

in

figures 4,

5 and 6.

In

figure 4,

the thermal oscillations

spectrum

shows at low

temperatures

a

simple

initial

oscillating regime

made up of a basic mode and its first harmonic.

Increasing

thermal

field,

it

rapidly

van-

ishes and a first turbulent

regime

appears with

larger bandwith,

between 680 °C and 780 °C.

Surprisingly,

a new

quasi

sinusoidal

regime

next reappears

(basic

(5)

716

Fig. 3. - Typical

experimental results and their

corresponding

Fourier transform. Channel 1 : Seebeck

signal [V].

Gain : 1 V H 1.76 °C. Channel 2 :

thermal" signal [V].

Gain :’1 V H 83.4°C.

mode + first

harmonic)

which

definitively

ends at

860

°C,

where a

complete

chaotic state is reached.

This last one is characterized

by

a

ramped

noise

spectrum, as observed

by

Hurle

[17].

The

corresponding

Seebeck map is more

complex,

in

spite

of a

striking

likeness with the

previous

one.

The main

frequencies

of the

exciting input signal

are

found in the

output

one, but small local solidification

phenomena

also induce their own natural fre-

quencies

with their own harmonics. Indeed thermal

fluctuations induce fluctuations of the interface

position ; thus, phenomena

as solute

boundary layer

evolution and interfacial kinetics introduce their

own

dynamics.

All those

peaks

are

converging

towards the two chaotics domains. The

only

one,

close to 1

Hz,

which is unaffected

by

the chaos seems

to result in an external cause : noise from electronic

measuring

circuits or

parasite

effects at the ends of the

sample.

This is also

suggested by

its constant

presence

during

all of the

experiments.

Fig. 4. - Left : thermal oscillations map of the first

experimental

series. Right : Seebeck oscillations map of the first

experimental

series.

(6)

717 The main four domains observed in

figure

4 are

found

again

in

figure

5 which

corresponds

to the

second

experimental

series. However in this last case

oscillating regimes

are

partially damped

down and

extremely

low

frequencies prevail

in such

regions ( 0.1 Hz).

On the other hand the

outstanding

existence of a first chaotic zone in the same

tempera-

ture range as before is to be

emphasized.

The third series visualized in

figure

6 also

gives interesting

informations. The

only

difference with the two

previous

ones lies in the fact that no

oscillating regime

could appear in the 600 C exper-

iment, possibly

due to an infinitesimal difference in the

apparently

identical

experimental

conditions.

Thereby

the

simplest

monochromatic

regime

is

reached

only

for 700

°C,

and

persists

up to 800 °C.

At this last temperature a first

period doubling (fui - f 1/2 )

is

clearly shown,

and a second one

( fi/2 - f 1/4 )

seems to be present in the thermal oscillations map but cannot be tracked down on the

corresponding

Seebeck oscillations map where a low

frequency

noise conceals all

possible

information.

These effects are also shown on the local representa- tion

(Fig. 3).

Such a transition

suggests

a

period

doubling

mechanism identified

by Feigenbaum [9]

seems to be present. This author showed the

logistic equation :

describes the

following

process :

when the stochastic

parameter s

is increased from si = 3/4

(first transition)

up

to sc

= 0.86237

(pure

chaotic

state).

Feigenbaum theory

more

predicts

a

rapid

increases

in

period doublings

for a small increase in the stochastic

parameter s

once the first critical value

’ si

has been reached.

Equivalent phenomenon

is also

observed here since

complete

chaotic state

prevails

at the

following

stage of 820 °C.

4. Conclusions.

Some

experimental

results

concerning

the influence of convection on a S/L

interface,

for a wide range of convective

levels,

have been

presented

here.

Fully

aware that transition towards the chaos still remains

Fig. 5. - Top : thermal oscillations map of the second Fig. 6. - Top : thermal oscillations map of the third

experimental series. Bottom : Seebeck oscillations map of experimental series. Bottom : Seebeck oscillations map of the second

experimental

series. the third

experimental

series.

(7)

718

an intact

problem,

as well on a theoretical

point

of

view as on an

experimental

one, we

deliberately

limited our

analysis,

in a first

step,

to

qualitative

considerations. No extensive

signal processing

methods have thus been undertaken to characterize the

Input/Output signals

mathematical

properties,

as

coherence and transfer functions. However

simple

data

handling

and

processing emphasize

some

important practical

results :

- The first one is a new confirmation of the strong

dependence

of fluid motions selection on the

system

external

boundary

conditions.

Indeed,

even

for

apparently

identical

experimental conditions,

in

spite

of many

precautions,

no

perfectly

similar

hydrodynamic

states are observed for each exper- imental series.

- More

important

because its

repercussion

on

crystal growth

is the

surprising

existence of some

chaotic zones

separated by quasi

monochromatic

ones. This result has a

practical importance

since it

shows

decreasing

the

destabilizing driving

force

(i.e.

Rayleigh

number which is similar to stochastic - parameter

s)

is not a sufficient way to

undoubtedly

obtain

steady growth

conditions. On the contrary a

regular time-dependent regime

may thus occur and

dramatically damage

electronic

properties

of

growing crystals.

Indeed the interface natural response shows itself in striations. A direct relation between measured fluctuations in the

liquid

near the interface and

crystal

defects is

always

observed. Such induced striations

phenomenon

is illustrated in

figure 7 which’"exhibits

the

meiallographic analysis

of a Sn-Bi

sample

grown at low

velocity

from a melt where

prevailed

sinusoidal fluctuations. It also must be noticed that

equivalent separated

chaotic

regions

, have

recently

been observed

by

Muller

[18]

in cen-

trifugation experiments. Finally,

the

only

way to

Fig.

7. -

Metallographic analysis

of an Sn-Bi sample

grown from a melt where

prevailed

a sinusoidal fluctu- ation.

avoid such troubles seems to consist on

using

new

generation crystal growth

devices which allow to real

time

supervise

the main parameters

(liquid

and

interface

temperature)

measured

by appropriate

non

disturbing

methods.

Acknowledgments.

This work is part of the studies

performed

in the

frame of the MEPHISTO

Project (collaboration

between CEA-CNES and

NASA).

The authors are indebted to P.

Contamin,

R. Ginet and G.

Marquet

for their

precious daily

assistance in the

project.

This work has been done in the frame

J of

the

agreement

GRAMME between CNES and CEA- IRF.

, References

[1]

FLEMINGS, M. C.,

Solidification

processing

(Mac

Graw

Hill)

1974.

[2]

HURLE, D. T. J., JAKEMAN, E., Phys. Chem.

Hyd- rodyn.

2

(1981)

237.

[3]

OSTRACH, S., J. Fluids Eng. 105

(1976)

5.

[4]

REYNOLDS, W. C., Annu. Rev. Fluid Mech. 8

(1976)

5.

[5]

BRADSHAW, P., Engineering Calculation methods

for

turbulent

flow (Academic Press)

1981.

[6]

NORMAND, C., POMEAU, Y., VELARDE, M. G., Rev.

Mod. Phys. 49

(1977)

581.

[7] RUELLE,

D., TAKENS, F., Commun. Math. Phys. 20

(1971)

167.

[8]

POMEAU, Y., MANNEVILLE, P.,

Commun.

Math.

Phys. 74

(1980)

189.

[9] FEIGENBAUM,

M., Phys. Lett. A 74

(1979)

375.

[10]

FAVIER, J. J., Thesis Grenoble

(1977).

[11]

THOMSON, W., Proc. Roy. Soc.

Edinburg,

Trans. 21, Part I

(1857)

123.

[12]

COMERA, J., CONTAMIN, P., FAVIER, J. J., MAR- QUET, G., Patent N° 86 06107

(28/04/1986).

[13]

PRIGOGINE, J., Thermodynamics

of

irreversible pro-

cesses

(J. Wiley

and

Son)

1985.

[14]

AZOUNI, M. A., Phys. Chem.

Hydrodyn.

2

(1981)

295.

[15]

MAX, J., Méthodes et techniques de traitement du

signal

et

application

aux mesures

physiques,

Tome 1, 4e Edit.

(Masson)

1985.

[16]

BRIGHAM, E. O., The Fast Fourier

Transform (Pren- tice-Hall)

1974.

[17]

HURLE, D. T. J.,

Workshop Aix-la-Chapelle (1984)

55.

[18]

MULLER, G., NEUMANN, G., J. Cryst. Growth 94

(1982)

548.

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