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Moleular Dynamis Simulation of Morphologial

Instabilities in Solid-Fluid Interfaes

B.V. Costa a

, P.Z. Coura b

and O.N.Mesquita

Departamento deFsiaICEX,UniversidadeFederaldeMinasGerais

CaixaPostal702, 30123-970,BeloHorizonte,MG,Brazil

a

bvsia.ufmg.br; b

pablosia.ufmg.br;

mesquitasia.ufmg.br

Reeivedon1February,2001. Revisedversionreeivedon23May,2001

We perform moleular dynamissimulationsof diretionalgrowth of a binary alloy. We x the

temperaturegradient,pullingspeed,impurityonentrationandonlyvarytheimpuritysegregation

oeÆient. ByhangingtherangeoftheLennardJonespotentialofimpurityatomsasomparedto

therangeofthepotentialofsolventatoms,theelastienergyostausesadereasesofsolubilityof

theimpurityatomsintothematrix(solvent)solidphaseandonsequentlyadereaseintheimpurity

segregation oeÆient. Within ertain range of segregation oeÆients, the growing interfae is

planar;belowit,theinterfaebeomesunstableandaellularstrutureemerges.

I Introdution

Rapid growth of a solid-uid interfae under

dire-tional solidiation onditions is a ommon method

of investigating solidiation morphologies as well as

segregationduringrystalization[1℄. Morphologial

in-stabilities inthesolid-uidinterfaehavebeenstudied

foralongtime[2℄. Itisknownthatduringgrowth,the

rystal-uid (melt, vapor or solution) interfae, is not

at thermodynami equilibrium. Themoving interfae

is a dynamial system, that an display a variety of

dynamialinstabilitiesandpatternformation[3,4℄.

Therapidexpansionoftheuseofhighquality

rys-tallinematerialsinoptialandeletronideviesduring

thelastdeadeshasstimulatedresearh,both

theoret-ial and experimental, on dynamis of rystallization.

A better understandingonsolidiation ofmetalsand

eutetibersareofunquestionabletehnologial

inter-est. Computer simulations haveplayed an important

role on the development and understanding of reent

modelsofrystalgrowth[5-9℄. Arystalangrowfrom

theadjaentuid(melt,vapororsolution)bydierent

mehanisms,dependingonthestrutureoftheinterfae

(rough orsmooth),materialpurity, growthrates,

tem-peraturegradients andrelated fators. These

require-ments an be met in aontrolled wayin experiments

of diretional growth, where asample in an

appropri-pulledwith axed speed towardstheolder region of

the furnae. For pratialrystal growth, the sample

an be ast into a quartz tube with hosen diameter

and length. This is a 3-dimension Bridgman growth

arrangement. However,detailedstudiesabout

dynam-isof rystalgrowthhavebeenonduted inverythin

transparentsamples(sandwihedbetweenglassslides),

suh that the rystal-uid interfae an be visualized

and reorded with the use of videomirosopy

teh-niques [10, 11℄. The results of suh experiments have

beenompararedwithresultsoftwo-dimensional

mod-elsofrystalgrowth. Ouromputersimulationsarealso

arriedoutintwodimensions. Withtheuseof

moleu-lardynamistehniqueswesimulatethesolidiationof

atwo-omponentsystemonsistingofsolvent(atomsa)

andsolute(atomsb)interatingviaLennard-Jones(LJ)

potentials:

a;a ,

b;b and

a;b =

b;a

whih hasbeen

shown to desribe verywell the diretional growth of

abinary mixture [7, 8, 9℄. the method is desribe in

detailsin setion III.Bytuning the parametersofthe

LJpotential,weanhangethestrutureof the

inter-faeand thesegregationoeÆientsuhthat aplanar

interfaeangounstable.

In this paper, wesimulate a binary systemwith a

roughrystal-uid interfaeandwithseveral valuesof

the LJ interation potentialas disussed below. This

work is organized as follow. In setion II we briey

(2)

used. Insetion IVweshowourresultsand insetion

Vwepresentouronlusions.

II Diretional Growth of Binary

Mixtures

Agreatdealofexperimentalobservationsindiretional

growth have been done in thin samples of

transpar-ent materials, where presumably the third dimension

isnotimportant,andtherystal-uidinterfaeanbe

followed in time, by using videomirosopy with

digi-talimage analysis. Thegrowthfurnaeonsistsoftwo

metalbloksatontrolledtemperatures:oneblokwith

temperatureabovethesamplemeltingtemperatureand

the other below. A thin sample of the material to be

studiedissandwihedbetweenglassslideswithspaers,

whosethiknessisingeneralofafewmira,tokeepthe

systemasloseaspossibleofa2dgeometry,and

guar-anteethatthetransportofmassismainlydiusivewith

noonvetionintheuidphase. Thesampleisthenput

ontopofthemetalbloks,withgoodthermalontat.

A temperature gradient appears along of the sample

ell. Thesampleis thenpulledtowardstheoldblok

in a verypreise and ontrolled way bya pulling

sys-temandstartstosolidify. Afteraninitialtransientthe

systemahievesasteady-statewheretheinterfae

posi-tionbeomesxedinthelaboratoryframe,thegrowth

speedis the same, but opposite, as the pulling speed

andthesoluteonentrationprolebeomessteadyin

thelaboratoryframe. Morphologialinstabilitiesofthe

planarinterfaeareinhibitedduringdiretionalgrowth

of pure materials. However, for binary systems,

de-pendingononentrationofsolute,temperature

gradi-ent and growth speed, morphologialinstabilities an

our: Theplanarinterfaebeomesellularand

even-tually dendriti. This isthe soalled Mullins-Sekerka

instability(MS).Inoursimulationsweareableto

ob-serve both regimes: planar and ellularinterfaes. In

thisworkwewillfousourattentionontheevolutionof

aninterfaewherewelearlyseesegregation,transport

of solute at the interfae and morphologial

instabili-ties.

III Simulation

Oursimulationisarriedoutusingmoleulardynamis

withallpartilesinteratingthroughthepotential.

i;j (r i;j )= i;j (r i;j ) i;j (r ) d i;j (r i;j ) dr i;j ri;j=r (r i;j r ) (1) where i;j

istheLJpotential

i;j (r i;j )= " r i;j 12 r i;j 6 # : (2)

Theindexesiandjstandsforpartilesinthepositions

~ r

i and ~r

j

respetively, and 0 i;j N, where N is

thetotalnumberofpartilesand~r

i;j =j~r

i ~r

i

j. A

ut-o, r

=2:5

aa

is introdued in thepotentialin order

to aelerate thesimulation. If thefore onapartile

is found by summing ontributions from all partiles

atingupon it,then thistrunation limitsthe

ompu-tational eortto anamount proportional to the total

numberofpartilesN. Ofoursethistrunation

intro-dues disontinuities both in the potential and fore.

Tosmooththis disontinuity we introduea onstant

term (r

). Another term (d=dr)

r=r (r r

) is

in-trodued to remove the fore disontinuity. Partiles

in our simulation move aording the Newton's law,

that generate a set of 2N oupled equations of

mo-tion whih are solved by inreasing forward in time

the physial state of the system in small time-steps

of size t = 0:02

aa (m

a =

aa

). The resulting

equa-tions are solved by using theBeeman's method of

in-tegration. In order to improve the method we use

a Verlet and a elular table. The Verlet table

on-sists of an address vetor whih ontains the number

and position of eah partile inside a irle of radius

r

v = 3

aa

. After some steps in time, the

neighbor-hood of eah partilehanges, sothat, wehave to

re-fresh the Verlet table. This refreshment proess an

take a long time. In order to make it shorter we

di-vide the system in ells of size

x z = (3:5 aa ) 2 ,

suh that in realulating theVerlet table we haveto

searh only in neighbor ells. Inittialy we distribute

N =n

x n

z

=162110partilesoverthetwo

dimen-sionalsurfaeL

x L

z

=1622 1=6

1102 1=6

. We

assumeperiodiboundaryonditionsinthexdiretion.

Inthez diretionwedivide thesystemin twodistint

regions,asolidandauidone.Inthesolidregion

parti-lesstandinitiallyintheirequilibriumpositionina

to-talof16230partiles. Ontheuidregionthedensity

isinitially

f =0:5

2

aa

,givingatotalof16280

par-tiles, randomlydistributed in atriangularlattieand

slightlydisloatedfromtheirequilibrium position. We

imposeatemperaturegradient,G,alongthezdiretion

using aveloity renormalizationapproah[7, 8, 9℄. In

onesideofthesystemdenedby170

aa

z151

aa ,

temperature is xed to T

0

= 0. In another region

0z30

aa

,temperatureisxedtoT

h =0:7 aa =k B ,

higher than the melting temperature T

f

= 0:4

aa =k

(3)

of the pure material. The melting temperature was

measured independently as desribed below. We let

the system evolute for 1:210 5

steps in time of size

t = 0:02

aa (m a = aa ) 1=2

, whih seems to be

enoughtoequilibratethesystem. Onetheequilibrium

is reahedwestartpullingthesystemin the+z

dire-tion, at apulling veloity v

p

= 410 3 ( aa =m a ) 1=2 .

The z = 0 layer works as a soure of partiles,

man-tainingaonstantpartileowtothematerial.

In order to obtainan estimatefor T

f

wedid an

inde-pendent simulation with 1:510 3

partiles in a box

ofxeddimensionsanddensity710 3

aa

,belowthe

soliddensity. WeobtainedthatT

f 0:4 aa =k B . The

onsideredsystemonsistsoftwodierenttypesof

par-tiles. Oneisthesolvent(apartiles)andthesolute(b

partiles). Wedenethreetypesofinterations,

solute-solute (b - b), solvent-solvent(a- a), solute-solvent(b

- a). The initial solute onentration

0

is 5%. This

onentrationisdenedastheratiobetweenthe

num-ber of partiles in the solute and the total numberof

partiles inthesolvent. Toalulatethedensityalong

thegrowingrystalweusestripsofsizez=20

aa .

Forsimpliity,fromnowonwemeasureenergyinunits

of

aa

, distane in units of

aa

, mass in units of m

a

sothattemperatureandtimearemeasuredinunitsof

k B = aa and(m a 2 aa = aa ) 1=2 respetively.

Thesimulationisarriedoutfor

bb

=0:1and

ab =0:5.

Value of

ab

are 1:00;1:05;1:15;1:20. We always use

aa =

bb

. Typially, in oursimulationsof diretional

growth,thesolidphasedensity

s

was5:7timeslarger

than the uid phase density

f

. For a given pulling

speedthe timefor thesystemto ahievesteady-state,

andonsequentlythesimulationtime,dereasesasone

inreasestheratiobetweenthesolidanduiddensities.

Thereasonisthatthetypialtimeforreahing

steady-stateisoftheorderofD=v 2 f =D=v 2 p ( f = s ) 2 ,where

DisthediusionoeÆientandv

f

istheveloityofthe

uid phase. Sine D inreasesapproximatelylinearly

with dereasing density ratio, the omputation time

goes approximately linear with (

f =

s

). We heked

the veloity prole of the uid phase and determined

thatsolutetransportismainlydiusiveforour

simula-tions,withD=1:3

aa ( aa =m a ) 1=2 IV Results

We studied the evolution of ellular instabilities

dur-ingdiretionalsolidiationforxedtemperature

gradi-entG =510 4 ( aa =k B aa

) and xed pullingspeed

v

p

= 410 3 ( aa =m a ) 1=2

, but for dierent valuesof

preditions [2℄, the interfae is unstable if l

T < l D , where l T

is thethermal lengthand l

D

is thediusion

length. l T kBT f 2 LG 0 (1 k )

2 k and l D D s vpf 60 aa .

Sine L 0:59

aa

(latent heat) [7℄, one obtains that

l

T 27

(1 k ) 2

k

aa

. Thereforethe interfaeisstable for

k>0:25. Bydereasingk oneantriggertheellular

instability. The value of k estimated from Fig. 1 is

about0:3. The interfaeis stable as preditedabove.

Byinreasingthevalueof

ab

asomparedto

aa ,the

impurityto beabletoinorporateintotherystalhas

todeformitslattie. Thehighelastienergyostauses

a derease of the impurity solubility into the rystal

phase, resulting in a smaller k. From Figs. 2 and 3

we estimatek 0:22for

ab

= 1:05

aa

; k 0:04 for

ab

=1:15

aa

and k0:01for

ab

=1:20

aa

, all

val-uesare in the unstableregion. As k getssmaller, the

rystalbeomesleanerandimpuritiesonentrateinto

thegroovesoftheellularstruture.

800

600

400

200

0

z

Crystal

Fluid

Figure1. Finalongurationofthesimulatedrystal after

810 4

timestepsfor

ab

=1:0. Greyandblakirles

rep-resent solvent and solute atoms respetively. The solvent

(grey)rystaline strutureis hexagonal as expetedfor a

Lennard-Jonessolid. PullingdiretionisalongZ.

Morpho-logialinstability is notobserved. Thereis solute

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Figure2. Fromtoptobotton theplots show thesurfae's

time evolution for

ab

= 1:05. The sequene starts at

t=1:610 4

followingintimestepsofsizet=4:010 4

.

Symbolsarethesameasingure1.Theestimatedk0:22

indiatesthattheinterfae isintheunstableregionas

ob-Figure3. Final ongurationofthesimulatedrystalafter

810 4

time steps. From top to botton ab = 1:05;1:15

and 1:20. Symbolsarethe sameas ingure1. As

ab

in-reases, segragation inreases (kdereases)failitating the

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V Conlusions

Ouromputersimulationsofdiretionalgrowthofa

bi-nary mixture learly show: (1) The eet of impurity

segregationduringgrowth;(2)Segregationinreases(k

dereases) as

ab

beomes larger than

aa

; (3) For k

smallerthan0:25theellularinstabilityistriggeredfor

thevaluesof G,v

p and

0

used. Theimpurities

segre-gated at the interfae onentrateinto the groovesof

the ellular struture resulting in impurity inlusions

that auselargedefets intherystalmatrix.

Aknowledgements

This work was partially supported by CNPq,

FAPEMIG and FINEP. Numerial work was done in

theLINUX parallellusterat theLaboratoriode

Sim-ula~aoDepartamentodeFsia-UFMG.

Referenes

[1℄ D. P. Woodru, The solid-Liquid Interfae

(Cam-bridgeUniversityPress,London,1973).

[2℄ W.W.MullinsandR.F.Sekerka,J.Appl.Phys.34,

323(1963);35,444(1964).

[3℄ J.S.Langer,Rev.Mod.Phys.52,1(1980).

[4℄ M.C.CrossandP.Hohenberg,Rev.Mod.Phys.65,

851(1993).

[5℄ J.D.WeeksandG.H.Gilmer,Adv.Chem.Phys.40,

157(1979).

[6℄ M.J.P. Nijmeijer and D. P.Landau, Comput Mater

Si.1,389(1993).

[7℄ P.Z.Coura,O.N. MesquitaandB.V.Costa, Phys.

RevB59,3408 (1999).

[8℄ P.Z.Coura,O.N.MesquitaandB.V.Costa,Int.J.

Mod.Phys.C9,857(1998).

[9℄ B.V.Costa,P.Z. Couraand O.N.Mesquitain

"Com-puterSimulationinCondensedMatterPhysisXII",

SpringerProeedings inPhysis 85, Eds. D.P.

Lan-dau,S.P.LewisandH.-BShuetler(SpringerVerlag,

2000)p.191.

[10℄ J.D.Hunt,K.A.JaksonandH.Brown,Rev.Si.

In-strum.37,805(1966).

[11℄ J.M.A.Figueired,M.B.L.Santos,L.O.Ladeiraand

Imagem

Figure 1. Final onguration of the simulated rystal after
Figure 3. Final onguration of the simulated rystal after

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