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Simulation on Size Segregation: Geometrical Effects in the Absence of Convection
S. Dippel, S. Luding
To cite this version:
S. Dippel, S. Luding. Simulation on Size Segregation: Geometrical Effects in the Absence of Con- vection. Journal de Physique I, EDP Sciences, 1995, 5 (12), pp.1527-1537. �10.1051/jp1:1995215�.
�jpa-00247156�
J.
Phys,
f France 5(1995)
1527-1537 DECEMBER 1995, PAGE 1527Classification Ph_Vsics Abstracts
46,10+z
64.75+g
81.35+kSimulations
onSize Segregation: Geometrical Elllects in trie Absence of Convection
S.
Dippel(~,~)
and S.Luding(~,~)
(~) Theoretische
Polymerphysik,
Rheinstr. 12, D-79104Freiburg, Germany (~)(*)
HLRZ, KFA Jiihch. D-52425 Jiilich,Germany
(~) Laboratoire
d'Acoustique
etd'optique
de la MatièreCondensée(**),
Université Pierre et MarieCurie,
4place Jussieu,
75005 Pans, France(Received
10May
1995, revised 28August
1995,accepted
5September 1995)
Abstract.
Using
a modification of analgorithm
introducedby
Rosato et ai., westudy
thesegregation
behaviour of a vibrated container filled ~vith monodisperse discs and onelarge
m-truder disc. We observe size
segregation
on time scalescomparable
toexperimental
observations.The
large
disc oses with a sizedependent
velocity. For size ratios smaller thon a cntical valuewe find metastable
positions during
the ascent, in agreement withgeometrical
arguments by Duran et ai. This confirms the importance of geometry as one of thepossible
causes for size segregation. We relate Dur results to recent experiments and discuss the mechanisms active m size segregation m the absence of convection.l. Introduction
The
investigation
of the behaviour of noncohesivegranular
materials has received quite a lot of interest in the last yearsiii.
Powder processing is ofgreat practical importance
and further-more,
granular
media showstriking properties
of both theoretical andexperimental
interest.One feature of the behaviour of
granular
matenals which isusually
consideredannoying
in industrial processes is sizesegregation [2-4].
Thedemixmg
ofmultidisperse
po~A>riens, where thelarge particles
use to the top, occurs m shear flow as well as m vibratedpowders.
Thelatter is the effect we
study
in the present work.Recently,
there has been a vivid discussion on thequestion
whether sizesegregation
m vibratedpowders might only
be due toconvection,
anotherphenomenon widely
observed ingranular
materials. This wouldimply
thatsegregation
should beregarded
asbeing
asecondarjr
elfect rather than a distinct
phenomenon [5.6].
Insystems
wherestrong
convective motion takesplace,
convectioncertainly
is thedommating driving
force forsegregation
[5]. In a vibratedcontainer with
rough
verticalwalls, large particles
move to thetop together
with the small(*)where correspondence
should beaddressed;
electronic mail:s.dippel@kfa-juehch.de (**)URA
800Q
Les Editions dePhysique
19951528 JOURNAL DE
PHYSIQtiE
I Nol?ones, due to the
up,vard
con,>ective flux in trie middle of the container. The smallparticles
mo,re do,vn agam, but the
large particles stay
at thetop
smcethey
are not able topenetrate
trie rather dense array of small
particles
belo,v them. Inexperimental setups,
convection is mitiatedalready
for quite low ,;alues of the vibrational acceleration. For very small vibrationiiitensities,
convection is confined to a smallregion
in the Upper part of tire containerI?i.
As has been sho,vnexperimentally [8, 9],
sizesegregation
can be observed in this so-calledquasi-static regime,
too. i~Te concentrate on it in thefollowing.
It has been sho,vn that
geometric
elfectsplay
animportant
role in sizesegregation
in thequasi-static
case[9].
Duran et ai. [9]proposed
a model for sizesegregation
based on trie e,>aluation of triepositions
that alarge
disc(or sphere)
of radius R could take in aregular
array of
monodisperse
small discs(or spheres)
of radius r. In reference [9] a critical size ratio 4l~ =RIT
(4l~= 12.9 in
2D,
4l~ = 2.78 in3D)
is deduced from these considerations. For size ratios belo~n. 4l~ trie stablepositions
for thelarge
disc areseparated by
somedistance,
~Arhereas above this cntical ratiothey
are continuons. From that one can conclude that the intruder should risemtermittently
for small size ratios andcontinuousljr
for size ratios 4l >4l~,
afinding
which is
supported by experimental
observations.Trie existence of a critical size ratio below which no
segregation
is observed was discussedextensively [10,11]. Experimeiits by
Duran et ai. [8] show that a size ratio exists below ,vhichno ascent is observed within hours of experiment. The value of this critical size ratio ~A.as
mentioned to
depend
on theshaking amplitude,
the size of thecontainer,
and on the initialposition
of theparticle.
Sizesegregation
was also related to the evidence of micro-fluctuationsm the
positions
of theparticles. Together
withrougir walls,
that may lead to micro-cracks orlong
range blocksliding
in the bulk. Astudy
of thesephenomena
m the 2Dmonodisperse
caseis
presented
in reference[12].
Quite
a fe~A> computer simulations of shakengranular
mediaexhibiting
sizesegregation
bave been putfor,vard, including
à40nte Carlo like simulation methods[13,14],
moleculardynamics
simulations
[6,15]
orsequential deposition
models[16].
In this work ~Are introduce an extension of thealgorithm introdùced by
Rosato et ai.[13]
and discuss thephysical
relevance of theparameters used. The
dependence
of the ascent velocities of thelarge
disc on the size ratio 4lis
iuvestigated
and the mechanisms causmg the ascent ai-e discussed. ive findgood qualitative agreement
,vith recentexperiments [8], sho,ving
that sizesegregation
occurs even withoutconvection, only
due togeometric
elfects.2. Simulation Method
2.1. THE ORIGINAL ALGORITHM. We first give a short
description
of theprocedure
asintroduced in reference
[13].
Thealgorithm
isdesigned
to model the motion of a 2~dimensionalarray of IV hard discs in a
vibrating
container.Initially
the discs arepositioned
at randommside the box and then
they
are allowed to relaxby falling
towards the bottom of thecontainer;
the details of which ,vill be
explained
belo,v. Oneperiod
of the vibrational motion is modeledby
firstlifting
all discsthrough
someheight
A(called
theshaking amplitude)
withoutchanging
their horizontal
positions. Secondly
the discs are allowed to fall down. After relaxation has takenplace
the array is liftedagain by
-4.Thus the
shaking
of the container resembles distinct"taps" separated by long
time intervalsas used in reference [5].
Nevertheless,
it should bepossible
to compare the simulations toexperiments
in ,vhich the vibrationfrequencies
arehigher,
aslong
as theassembly
of beadscan relax
sufficiently
~vithin onepenod.
In the simulation, the do,vnward
part
of the vibrationcycle
is realized as follows. A disc is selectedrandomly
and a trialposition
for this disc isgenerated.
If this ne~Arposition
leads toN°12 SIMULATIONS ON SIZE SEGREGATION 1529
an
overlap,vith
anotherdisc,
the motion isrejected
and the oldposition
iskept:
otherwise the disc is moved to the ne~A>position.
After this the next disc is chosen at random until aspecified
number of trials nmax ai-e
rejected (nmax
= IV in Ref. [13]
).
Theassembly
is then consideredas relaxed and a new
shaking cycle
starts.The trial
position
for a disc is chosenby generating
twoindependent
andequally
distributed random numbers(~
E[-1, Ii
and(y
E[-1, 0].
The ne~A>position (z', y')
of a disc is thengiven by
Z'
# X +
(xô (1)
v'
"
v+(Yô (2)
where z and y denote the old horizontal and vertical
position respecti,>ely.
Note that trie choice for the newposition corresponds
to do~Arn~vard motion with fluctuations in the horizontaldirection. The
parameter à,
whichcorresponds
to the maximum step ~,>idth for adisc,
was set to à= r in reference
[13].
2.2. MODIFICATIONS OF THE ALGORITHM. ~Te introduce two modifications to the
original
algorithm.
The first and lessimportant
of the two consists ofallowing
smallupward
motions of the discs m thefalling part
of theshaking cycle.
Trie reason for this modification is thefollowing.
The Rosatoalgorithm
models the fluctuations in thesystem by
randomdisplace-
ment. Because the fluctuations stem from
interparticle collisions,
thealgorithm
should alsoallow
upward
motion m some cases. For this reason, ~Are take(y
E1-1, ôo],
~A>here ôo is somesmall number
larger
than zero. The value of ôo should not be toolarge, either,
since m thatcase motion
might
never cease m thesystem.
From anotherpoint
ofvie,v,
ôomight
aise be considered as some measure of theelasticity
of the discs.Laige
ôo valuescorrespond
tolarge
fluctuations and thus to ~Areakdissipation. However,
it is unclear how ôo is related tophysical quantities
hke the coefficient of restitution. We take ôo = 0.05 in oursimulations,
,vhich cor-responds
toonly
veryslight upward
motion andmamly
makes it easier for the system to relax mto a final state.The second modification of the
algorithm
consists ofchoosing
a much smaller value for themaximum
displacement
à thaii in theoriginal
work. Thischanges
trie behairiour of thesystem
significantly.
To illustratethis,
weperformed
simulations with values of àrangiiig
from 0.05r to 0.5r. In all simulations referred to in this paper, we use N= 500 discs of radius ?. with
one
large
disc of radiusR,
1. e. the intruder. Theassembly
was considered as relaxed whenno move could be
accomplished
for nmax= 5N trials.
Clearly,
this does notprovide equally good
relaxation for different values ofà,
since thelarger à,
the more moves will berejected.
We chose the abovementioned value for nma~
bit shaking
anassembly
of discs andchecking
for which value of nm~x thedensity
of theassembly
could trot be increasedsignificantly by
mcreasing
nmax. These tests also showed thatincluding
thepossibility
for the discs to moveupwards substantially
enhanced the relaxation of theassembly.
The ,ralue nmax wefinally adopted
showed reasonable relaxation for the whole range of à usedhere, although
it was best for the smallest ,naines. We should mention here thatalthough
triealgorithm
does notprovide exphcitly
forrolling
of discs on eachother,
discs on the surfacealways
"roll" into a local minimumby
a succession of Monte Carlo steps for our choice of parameters.The initial
configuration
in these simulations wasprovided
for as described above for theoriginal algorithm,
i. e. thelarge
disc ~vasplaced
at someheight
above trie bottom of triecontainer,
then randompositions
were chosen for triebackground
discs(see [13])
Thisconfig-
uration was then allowed to relax m the same way as m a normal
shaking cycle,
after which trieshaking procedure
started.1530 JOURNAL DE
PHYSIQUE
I Nol 250.o
40.0
~
~,
~3 30.0 Éi )
~n
z'é
io.o
~
of
cycles
Fig.
1. Influence of the choice of à on thespeed
of ascent of alarge
disc of 4l= 2 in simulations with A
= 2r. The
corresponding
values of à are(from
top tobottom)
o-à, 0.3, 0.2, o-1, 0.05.Figure
1 shows thestrong dependence
of thespeed
of ascent for an intruder of size ratio 4l= 2 on à.
"Speed"
is to be understood in terms ofheight
pershaking penod.
Theperiod
is the
only
time scale defined in this kind of simulation. For small values of à it even looksquestionable
if trielarge
disc uses at all.The parameter à determines ho~v much the whole
assembly
canexpand during
thefalling part
of theshaking cycle.
Thelarger à,
the more itexpands
and thuslarger
relative motions of the discs arepossible.
Inexperiments
it ~vas observed that in thequasi-stat.ic
situation thediscs move
nearly
as a solid block withonly
small fluctuations around their meanposition
m theassembly [8]. Unfortunately,
no data on these fluctuations are available.Thus,
so far it isimpossible
to relate àdirectly
tophysical quantities. However,
it should be set to a small value stillsufficiently larger
than zero toprovide
observable fluctuations around the meanpositions
of the discs infalling.
Weinvestigated
thesegregation
behaviour of thesystem
for à =o.lr,
which gives
quite good agreement
of our simulations withexperimental
results.Because small values of à make the simulations more
time-consummg
there are some limita- tions to the size of thesystem
and to the maximum number ofshaking cycles.
The maximumsize ratio we used was 4l
= 12, because for
larger
size ratios the number of small discs would have to beincreased, leading
tolonger computation
times.In the
following
simulations thestarting configuration
was obtaineddifferently
from theprocedure
descnbedabove,
m order to be m closeagreement
with the experiments of [8].Instead of usmg a random initial
configuration
of smalldiscs,
the box ~Aras filled with small discs m atriangular pattern
asregularly
aspossible,
after firsthaving placed
the intruder at some well-definedheight.
For thelarger
intruders (1. e. 4l >8)
this wasusually
chosen as(4l
+1)r.
We will discuss theimplications
of this choice m thefollowing section,
asthey
arerelated to the mechanism of size
segregation.
3. Results
3.1. THE MECHANISM OF SIzE SEGREGATION IN THE
QUASI-STATIC
CASE. In this sectionwe describe m detail the mechanisms
by
which sizesegregation
takesplace
m our simulations.N°12 SINIULATIONS ON SIZE SEGREGATION 1531
~'',
,' '
' ', l'l',,'
f j~ ~'' ',
,C ~'Î'>~'~.' &'<~/J
'z -"
~' f <',' '; ,
f,, ~ ',,' ,'
~- ,'
''~ ,-~<, ",','Î' '," ÎJ.
j,J ,Î /~( ''~ ,-"~
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~,~~~ ~L "Q " "Î'' '~ ~/,/ ' '' '
~, ,'_~ U,' OI 4,'' ,1" /" '1" ) ','~
~. '~ '' '
S-il '/ 1'.1",~,'~'~~~,O /~-l' ~ Î ~~',
~',~Î ~'' .'z ~,Î' Î,'~
~~Î[,,'
'< '', ,, Î,, / / ,~, > "~' '
~ ,' ,~
'~ S, '/V'-SI",~,'
',~~[Î~/,
~j~ ~,',''Y ,,~""''"~" ',,,', ~4 /,j ),/,' ?(,~. ',~', j ,",
,z ~'~'~r"/ ~(J "j,', 'J,
v'~ ~ ~". ~' j ~
~( ~~,'~ ~' '
..',,,,'
< ~ ~ ,' ,l~'<~Î 'i ',
~'~ "'r' ~'Î
,'~'l','Î'
Î, ,,j'
'~ )Î, '~Î~/ 'ÎÎ
'(, "',/ ',,j, il
ii f z' /
S'~~Î,'.,(,
/<, [ l'if
,'fj', Î "$'ÎÎ ',',
'>'
i ~~~' "' 'J',
i ,1'< ~/ 'l' ,'
.J' ,/"'
',,'" /,/~-
IVG' ,',,(,, (,
'Î ~~', -J
j
~'J",'
'Î ~ 'J
j',Z "''
,/-J; "'
G "'
'J'Î ÎÙ'f' 1'(, ),,,
"' °'~~
'j"J', j', f,' '-1" J ';
'
a) b)
Fig.
2.Snapshots
of the ascent of an intruder (4l = 10.5, A =0.5r). a)
The circles denote the position of the discs after 445shaking cycles,
the arrows the finalpositions
after 470shaking cycles, always
taken aftercomplete
relaxation of theassembly. b)
Situation after 900shaking cycles.
Besides,
we discussquahtatively
thedependence
of therising
behaviour of the intruder on the size ratio. Aquantitative
discussion will bepresented
in thefollowing
section.Figure
2 shows twosnapshots
of the ascent of an intruder of 4l= 10.5. Trie mechanism
by
which this ascent isaccomplished
can be seenclearly
fromFigure
2a. Due to the fluctuations in thefalhng
part of the motion of the wholeassembly,
a small disc is able to squeeze m beneath thelarge
disc and rolls down mto the hole below it, followedby
an avalanche of other small discs. The intruderis then stabilized in this new
(higher) position.
In the motion of the small discs no convectionwas observed.
Usually,
an avalanche as the one inFigure
2a is followedby
another one on the other side of the intruder as to make up for theasymmetry
inducedby
the first one.The small discs whose
arrangement
above the intruder was disturbed before arrange them- selves m anorderly
fashion below thelarge
disc as it rises.Besides,
atriangular
hole forms belo~n. the intruder as can be seen fromFigure
2b. This hole is very stable andpersists through-
out the further rise of the intruder. We will discuss the relevance of this effect in the
followmg
subsection.
In
Figure 3,
weplot
the verticalposition
of a rather small intruder(4l
=2)
versus the number of shakes and observe the intermittent ascent as alsoreported expenmentally
[9].Figure
3shows that ascent takes
place,
but veryslowly.
Theplateaus
on which the intruder rests for verylong
timescorrespond
to the stablepositions
calculated in reference [9]. Thespeed
ofrise is
approximately
4layers
of small discsduring
10 000 shakes. Inexpenments,
seeFigure
4 of reference[9],
triespeed
is 7layers dunng
54 000 shakes(1h
with afrequency
of15Hz).
Thisis a very crude
evaluation,
but it shows that the time scales observed in our simulation are of the same order ofmagnitude
as those observedexpenmentally.
Thepositions
from which theintruder falls down
again
once in a whilecorrespond
to the less stable of the twopositions
anintruder of 4l
= 2 can take on the
triangular
lattice formedby
the small discs(see
Ref.[9])
1â32 JOURNAL DE
PHYSIQUE
I s?1215.o
Î
~
g io.oj
à a
£
Z 5.o ~
o-o
~~~~ loooo
Number of shaking cycles
Fig.
3. Ascentdiagram
foran intruder of size ratio 4l
= 2 at ~
= r and à
= 0.1r.
Intermittent ascent of an intruder with 4l
= 3
already
wasreported
in reference[13]
for small vibrationamplitudes A,
but on much shorter time scales. Forlarger
intruders. intermittent ascent cari still be observed in oufsimulations,
as well as continuous ascent for 4l= 12
(see
Fig. 4).
~Veinvestigated
the influence of 4l on thesegregation speed
for 4l < 12 in some detail ,vhich led tosurprismg
results that will be discussed in thefollo,ving
subsection.3.2. INFLUENCE OF THE DIANIETER RATIO ON SEGREGATION SPEED. The influence of
the diameter ratio on the
segregation speed
of alarge
intruder in the non-convective regime has beeninvestigated experimentally
[8]. A hneardependence
of thespeed
of ascent on thediameter ratio has been
found,
as well as a critical diameter ratio 4l~ m 3.5 for thegi,>en expenmental
situation.An
analysis
of thedependence
of thesegregation speed
on the diameter ratioby
means ofthe
original algorithm
of Rosato et ai. has been conducted before[14],
butmainly
to derivean
amplitude dependence
foramplitudes
muchlarger
than thetypical
values we use. The time scales on whichsegregation
occurred in their ~A.ork were of the order of time scales in theoriginal work,
bath of i,>hich are much shorter than m trieexperimental
work of reference [8]and in our simulations. For further
comparison
of our simulation toexperimeuts.
weperformed
simulations for mtruders of size ratios 8 < 16 < 12 to nleasure trie
segregation speed.
In
Figure 4,
weplot
theposition
of trie intruder as a function of the number of shakes for different size ratios for A= 0.5r and à
= 0.lr. As can be seen from
Figure 4,
it is almostimpossible
to deduce some exact ascentspeed
fi.om thesediagrams.
iiTe calculate thevelocity by averaging
it over the whole simulation i-un(except
in cases where trie intruder reaches the surfaceearlier).
Due to thelong computation
time each simulation took weperformed only
a few runs for each 4l value.
Figure
5 shows thedependence
ofsegregation speed
on 4l as extracted from simulations of the type of those shown inFigure
4.Averages
are taken from 2 to 3 simulation runs.However,
the values for different realization for fixedparameters
areconsistent.
ive checked that the initial
position
of the intruder dia trot affect the simulation results.When
placed
as described at the end of Section 2, the intruder ,vould in all cases risequickly
on a first
layer
ofparticles. During
thistime,
the wholeassembly
of small discs relaxed into trietypical configuration
that can be seen mFigure
2. ~A>ith the intruder stillresting
on trie firstN°12 SIMULATIONS ON SIZE SEGREGATION 1533
50.o
_~ OE=105
.~
~~~~ ~$
à
~~
(
20.0 çp m~
OEm100 10.0
i
~ ~
o soc i ooo
Number of shaking cycles
Fig.
4. Ascentdiagrams
of an intruder for vanous values of 4l at A= o-ST and à
= 0,lr.
0.20
e
0.15
j
ÎÎ
fi
Î
0.10>
~
~ ~
~ Ô
«
0.05 j
o o
o o
o ~ o
~~~
8 9 10 11 12
a
Fig.
5.Dependence
of ascent velocity on 4l. S denotes the number ofshaking cycles.
layer
of small discs.Thus,
ail intruders started from stable and well-defined initialpositions,
which can berecogmzed
as smallplateaus
in thebegmmng
of the simulation atheight (4l
+2)r.
The intruder was considered to start its ascent when it left this
plateau. Starting
the intruder not in the middle of thebox,
or on more than onecomplete layer
dia notchange
the simulationresults.
Figure
5 illustrates thestrange
behaviour we found and should be taken as aqualitative
rather than aquantitative
result. The dashed line ismerely
meant toguide
the eye. Thespeed
of ascent exhibits an
irregular
behaviour where certain size ratios seem to risepreferentially
which can be
explained by purely geometrical arguments.
To ourknowledge,
noexperiments
m 2D have covered this range of size ratios in such detail. We observe no size
segregation
for 4l < 9 on these timescales,
i e. for 1000shaking cycles. Naturally,
it ispossible
and evenprobable
that smaller intrudersmight
use as well inlonger
simulation runs. Inexperimental
situations as described in
[8],
for 4l = 5.3waiting
times of several minutesoccurred,
after ~Arhich1534 JOURNAL DE
PHYSIQUE
I N°12T
irÎ3
~
~
ir ~Fig.
6. Schematicdrawing
of the situation encountered by thelarge
disc afterhaving
nsenthrough
some distance
m the simulations.
the intruder resumed its ascent. This
corresponds
to a few thousandshaking cycles,
which isalready longer
than the simulation runspresented
inFigures
4 and 5.TO
explain
theirregular
behaviour we observed in our simulations in the ascentspeed
of theintruder,
one has to look into the mechanismby
which the ascent takesplace.
As mentionedbefore,
a small disc has to squeeze in between the mtruder and thesupporting
discs in order to stabilize it in ahigher position.
After sometime,
atriangular
hole bas formed below the intruder.Figure
6 shows a schematicdrawing
of the situation. The walls of this hole aregeometrically
verystable,
so that theonly
discslikely
to promote the ascent of the intruder are the discs labeled a mFigure
6. As we nowproceed
toshow,
trie size of the small hole bet~n.een the intruder and the disc labeled is a non-monotonous function of 4l. Since the disc a has to fit into thishole,
thetypical
size of the holestrongly
affects thespeed
of ascent.We now calculate the
position
of the disc m ageometry
as shown mFigure
6. When thisposition
isknown,
the distance between the disc1 and the mtruder can be calculated. One canassume that the center of the intruder is at
height 2(R
+r)
with respect to the center of thedisc labeled 1 in
Figure
6. The center of the disc1 is atheight
j =
irvà, (3)
because it is the 1-th disc m the wall. The value of1 can be
expressed
as=
là (R
+
ni
141The square brackets denote the
integer part,
e. thelargest
natural number smaller orequal
to the
argument.
Thiscorresponds
to the discbeing
thehighest
of the discs m the walls of thetriangular
hole whose center is still below the center of the intruder. Thecorresponding
value of the x-coordinate of the
position
of the disc is x~= ir
(always
withrespect
to thecenter of the disc
1).
For the distance d between the disc1 and the intruder weget
d =
(2(R
+r) irvi)~
+(ir)~) là)
N°12 SIMULATIONS ON SIZE SEGREGATION 1535
3.0
~
j
2.0§
l 0
~~
~~
8 9 10 11 12 13
a
Fig.
7. Distance between the disc and thelarge
disc.(R
+r)
was subtracted from d to drawattention to the size of the hale between the two discs.
In
Figure 7,
weplot
the distance between the surfaces of the disc1 and the intruder in unitsof r for certain values of 4l
according
toequation (5).
Thejumps correspond
to achange
ofthe
supporting
disc(and
thus of the valueof1)
due to an increase m the size of the intruder.It occurs whenever
2(4l +1) Il
is aninteger (see Eq. (4)).
Theirregular
behaviour of theascent
speed
of the intruder as a function of 4l con now beexplained
as follows. For size ratiosslightly
below such ajump value,
the size of the hole is too small for the disc a to squeeze m.Above the
jump value,
the hole is muchlarger,
thuspromoting
a fast ascent of the intruder.As the size of the intruder is increased
further,
the size of the hole decreasesagain.
That way theprobability
for a hole that islarge enough
to accommodate the disc a to open up decreases and therefore thespeed
of ascent decreases. Simulationsperformed
for diameter ratiosslightly
below and above these
jump
values show theexpected
behaviour(see Fig. 8), implying
that50.o
OE=11 5
40.0
$ OE=9.5
~ 30.0
~i
à
~ OEmll.0
~ 20.0 _~
10.0 ~*~.~
~'~
o soc iooo
Number of shaking cycles
Fig.
8. Ascentdiagrams
for A= o-ST and à
= 0.lr. The
corresponding
jump values for the size d of the hole are at 4l= 9.39 and 4l
= 11,12,
respectively.
1536 JOURNAL DE
PHYSIQUE
NO12this is the reason for the
irregularities
in thespeed
of ascent. Inexperiments,
no such behaviourcoula be observed because the
development
of atriangular
hole below the intruder does not takeplace
in trieexperimental
situation.Therefore,
we assume that fluctuations will wash out thispurely geometric
effect in mostexperiments.
Small holes dodevelop,
butforger
ones aretoo instable trot to be filled
eventually, mainly by
horizontal block motions of trie small beads.Trie ~n.alls of such a hole are toc feeble to resist trie forces exerted on them
by
trie other discs from triesides,
forces which are absent from our simulation.One should be able to reduce this
"locking"
behairiour of the intruderby introducing
a size distribution ofrelatively
narrow width on the smallparticles
to disturb theregular arrangement
observed inmonodisperse packings.
~~notherpossibility might
be to use a differentprobabil-
ity distribution for the choice of thedisplarement
of thesingle
discs.Experiments
evidencefluctuations of the discs around their mean
position
[8]. If more about these fluctuations wereknown, they might
beincorporated
in the simulations to render them more realistic.4.
Summary
We studied a
periodically tapped system
of discs with onelarge
intruder disc m abackground
ofmonodisperse
smaller discsby
means of a Monte Carlo like simulation method whichemphasizes geometric
effects.By using
a much smaller value for the maximumdisplacement
in one Monte Carlo step than in previous work[13],
theagreement
withexperiments
coula be enhancedsubstantially.
lN~e observed sizesegregation
withoutaccompanying
convective motion of thebackground
discs. Trietypical
ascent velocities are similar to the ones observed inexpenments
conducted in thisquasi-static regime [8],
due to a suitable choice of the maximum step width à in the simulations.The ascent of the mtruder takes
place
m an intermittent or continuousfashion, depending
on the size ratio 4l
=
RIT.
In the case of intermittent ascent we find well defined stablepositions
of the intruder. In simulations with a very smallintruder,
thesystem
may stay in such a stableconfiguration
for a verylong
time as observed inexperiments [9].
For verylarge
values of4l,
close to the theoretical threshold for continuous ascent of 4l=
12.9,
the 4l-dependence
of thestability
of thesepositions
affects the ascentirelocity significantly.
We gruea
purely geometrical explanation
forthis,
based on the mechanismby
which the ascent of the mtruder isaccomphshed
in our simulations. Inexperiments,
other mechanisms besides this are active. As recentexperiments sho,v, large
scale horizontal block motions arehkely
to untrap the intruderIi?i
These do not occur m oursimulations,
~A>hichemphasize
the local influence ofgeometry
instead oflong-range
interactions. Their absence may be anexplanation
for theirregulanty
of the ascentvelocity
even forlarge
intruders.Thus,
the simulation can contribute to theunderstanding
of the mechanisms active m sizesegregation by clearly showmg
whicheffects are due to the
geometry
of theproblem
and which are not.Acknowledgments
We thank A.
Blumen,
E.Clément,
J.Duran,
J.Schàfer,
H. Schiessel and D. Wolf forhelpful
discussions. The support of the Deutsche
Forschungsgememschaft (SFB 60)
and of trie Fonds der Chemischen Industrie isgratefully acknowledged.
N°12 SIMULATIONS ON SIZE SEGREGATION 1537
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