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Composite Media Including Dissipation
H. Leinders, A. Enders
To cite this version:
H. Leinders, A. Enders. Computer Simulations of Dielectric and Magnetic Composite Media Including Dissipation. Journal de Physique I, EDP Sciences, 1995, 5 (5), pp.555-564. �10.1051/jp1:1995151�.
�jpa-00247081�
J. Phys. I France 5
(1995)
555-564 MAY 1995, PAGE 555Classification Physics Abstracts
02.60 77.30 77.40
Computer Simulations of Dielectric and Magnetic Composite
Media Including Dissipation
H. Leinders and A. Enders
II. Physikalisches Institute, Universitàt zu KôIn, Zülpicher Strafle 77, 50937 KôIn, Germany
(Received
28 November 1994, received in final form 13 January 1995, accepted 16 January1995)
Abstract. A method of simulating dissipative effective media with bath dielectric and mag- netic materai properties is presel~ted. As fat as particles with ramdam distribution are con- cerned, trie effective material properties of mixtures depend only on trie volume fractions and trie bulk values of the materais involved. Trie numerical simulations have been performed for the tintee-dimensional case and an algonthm was used, which leads to a correct representation of Afaxwell's equations in a discrete vector space without any approximation. A formula was
denved that describes trie behavior of trie Inixture for random distribution of trie partiales. A
physical interpretation of trie effective behavior is given, based on percolation theory.
In this paper, the
electromagnetic
behavior ofbinary
mixtures with both dielectric and mag- netic materialproperties
is studied. A value which characterizes the mixture ratio ofcomposites
is the volume fraction
f
:=Vp~rticie/l§~mpie.
Thepartiale
sizes a should be well below the vac-uum
wavelength
of theelectromagnetic
waves used. Such materials are known as effective media(a
more exact definition will followbelow),
in which the waves "sec" severalpartiales
over each
wavelength.
There is no well-definedanalytical theory describing
the behavior of these mixtures,especially
on theproblem
ofextracting
the effective materialproperties
of the mixture from thecorresponding
values of theparticipating
components over asatisfactory large
range of mixture ratios.There are many dilferent models
dealing
with this matter(for
an overview, seeil, 2]).
All have rather severe restrictions onpartiale shapé, size,
volume fraction andwavelength.
It will be shown later that most theories and mixture formulae must fail at volume fractionshigher
thon 0.3 due to a violation of the base
preconditions. Nevertheless, they
arecommonly
usedover the whole volume fraction range.
In references
[3,4],
a novel numericalapproach
and the computer program COSME was pre- sented to simulate effective media with random distribution. This program has been extended to includemagnetic properties
as well and is named COSME II. Thegeneral problem
is tocalculate the effective values from the
given
bulkquantities. Conceming binary
mixtures, onecomponent is denoted as
partiale
P(which
vanishes forf
=0),
the other one is called matrix M. Both materials are well definedby
their bulk responseD,
H to the externalexciting
fields© Les Editions de Physique 1995
~
Ly
LX
Fig. l. Model cavity divided into regular cubes. Ail cubes are randomly filled with either partiale or
matrix material, according to a given volume fraction for trie complete system. Measured in quantities
of the cube dimension, the whole cavity bas trie dimension Lx x Ly x Lz.
E,
B which is describedby
thecomplex permittivities
cp, CM andpermeabilities
pp,pM. Theatm now is to connect these
quantities
and the volume fractionf
taget
the effectivecomplex
values e, ji of the mixtures in form of functions
f =
F(f,Cp,EM,ÎÎLP,
ÎLMÎ) ~~~ÎL "
G( f,
jlp, j1M, ÎEP,CMÎ(~)
In the most
general
case it is necessary to assume relations between the bulkpermittivities
and the bulkpermeabilities
of the components, so thecomplex
effectivepermeability
is pos-sibly
a function of the bulkpermittivities
and ~ice ~ersa. It will be shown here that under certain conditions thispossibility
can beneglected,
so in the formulae above thecorresponding
parameters are included in brackets.l. Method
A resonant
cavity
with the dimensions Lx xLy
x Lz was divided intoregular
cubes withedges
of unit
length.
Each cube wasrandomly
filled either with material M orP, according
to agiven
volume fraction
(probability) f
for the whole cavity(see Fig. l).
Then the field distribution inside the cavity had to be determined. The method used is based on thedescription
of the field distribution insideelectromagnetic
devicesdeveloped by
Weiland[5-10].
To each cubea
tripod
of electric field vectors isassigned.
These vectors are located at theedges
of the cubes(see Fig. 2).
Anothertripod consisting
ofmagnetic
field vectors isarranged
so that thevectors penetrate the surfaces of the cube.
Doing
so for ail N= Lx
Ly
Lzcubes,
a set of 3N components of the electric field and 3N components of themagnetic
induction isgained.
These vectors form two
grids;
agrid
Gconsisting
of electric field vectors, and agrid Ô
of thevectors of the
magnetic induction,
shiftedby
half a cubediagonal
with respect to G.The
problem
con be solvedby transforming
Maxwell'sequations
into matrixequations (for
further information see Ref. [3]). It is
important
that with this kind of discretization of the fields both thetangential
component of E and the normal component of Bsatisfy
theboundary
conditions between the cubes
implicitly.
For
instance,
one of the Maxwell equations is transformed intoV x E
=
-~~
-
CDse
=
-DAÉ
,
N°5 COMPUTER SIMULATIONS OF COMPOSITE MEDIA 557
G
r~JG --Î--/
__~__
~
~ Z
~
Y ~--- x
E °~
Z
~X
Fig. 2. Arrangement of field vectors inside trie cavity: every cube is assigned a tripod of E vectors at trie edges, and another one of B vectors through trie surfaces. Ail field components of ail cubes
together form vectors e, b of very large dimensions which contain trie whole field distribution inside the cavity and constituting two lattices G
(electric
fieldcomponents)
and Ô(magnetic
fieldcomponents)
where e and b represent the two sets of field vectors, C represents the rotation operator in the discrete space and the matrices Ds>A contain
length (S)
and surface(A)
elements[3,5].
To take thepartiales
into account, discretized material equations are aise established:d =
coD~e
b =
poD~h.
This way, the dielectric
displacement
D and themagnetic
field H can be defined in vector space,leading
to thefollowing equation:
CDse
~2=
~DAD~Di~DAD~e (3)
c
This relation can be
simplified
to~2
~A~D~e
=C~Dj~Ce
,
(4)
c
for trie
simple
cubic lattice usedhere,
where A is trieedge length
of trie cubes inside triecavity (this
is due to trie fact that these lattices are Ds = A .13N and DA = A~ .13N aresimple diagonal
matrices, where In is theidentity
matrix of the vector space with dimensionn).
This is a common, butlarge
dimensioned and nonhermitianeigenvalue equation,
whichcon be solved
by
analgorithm developed by
Stôlzle [3]. The effective materialproperties
conbe calculated from the
complex
resonancefrequencies
of the empty and filled cavity:m
=
())~ (5)
Attention should be
paid
to the fact thatonly
a linkedquantity
q con becalculated,
Dot values for the effectivepermittivity
andperrneability separately.
It will bepresented
in the next sectionwhy
thisproblem
could beneglected.
e~=18-125 %~=4-13.5 e~=%y=1
o" mmm "m
m~ ~~
]
~
Ù ~
~ à
à ~
~ g ~"
f m~
E m~
«"
a2 a4 06 DB 'o DD 02 a4 06 06 'o
Volume Fraction f Volum6 Fractian f
Fig. 3. Simulated data of partiales with both magnetic and dielectric material properties (cp =
18 -125, ~lp = 4 -13.5, EM = ~IM = 1). The real part (E~I)~ passes zero at f @ 0.68. The imaginary part (e~l)" remams mol~otol~ically rismg.
2. Results
With the computer program COSME
II,
several"samples"
(CM, PM, cp,pp)
have been simu- lated. In most cases, the volume fraction was varied fromf
= 0(pure matrix)
tof
= 1(pure partiale material).
TOsimplify
thecalculations,
the matrix pararneters werealways
chosen as CM = pM = 1, which is trot asignificant
reduction, because any matrix values cari be repro-duced
by
ascaling
process D~ -D]lem.
In the case ofe[ # 0,
this leads to dilferent loss tangents which has % be consideredby appropriate
new values for cp. We would like to stress the fact that there is nodifficulty
at all incomputing (cp)
over the whole range of volume frac- tionusing
theCOSME-program,
a fact which is important later on. The results were calculateddepending
on the volumefraction,
soalways
functions(cp)( f)
will bepresented.
The simulation
yields
two dilferent types of curves.Depending
on thegiven
set of bulk parameters (CM, PM, cp,pp),
the curve of the real part(c~l'
can pass zero at aspecial
volume fractionfo (Fig. 3),
or the curve is smooth andincreasing monotonically (Fig. 4).
Theplot
is more curved at smaller volume fractions and more linear at
higher
ones. For allplots,
theimaginary
part(cp)"
isalways increasing monotonically
andcontinuously;
asign change
would violate energy conservation inside thecavity,
of course.Under certain conditions it is
possible
to factorize the common value$
into the partse and ji
iii,12].
This is valid for an internaiwavelength
À~,represented by
the wave vector k~ = 27r/À~, smaller than theparticle
dimensions r ((k~ri
«1),
and has been tested in therange up to k~ r m 1: Simulations have been done to compute
samples
with thecomplete
set of bulk pararneters. This was followedby
two moresimulations,
the first with cp = 1, pp#
1 tocalculate ji, then a second with cp
#
1, pp= 1 to obtain e. As a next step,
(cp)
wascompared
with the
product
e. ji. The result was that thecorrespondence
wasnearly perfect (Fig. 5).
This lits well theprecondition
for factorizationaccording
toil Ii,
1-e-, thecomplete penetration
of ailpartides by
electric andmagnetic
fields without anysignificant
decrease inside thepartiales.
These elfects are net included in the simulations as
long
as theparticles
have the minimum size(1.e.,
the size of anelementary
cell in thecavity),
so this condition is fulfilled apriorf.
Itcari be concluded that the simulations are valid if the
partiale
sizes are chosen in a range wherecomplete penetration
isguaranteed.
Under this condition thepermeability
can be studiedseparately
from thepermittivity, although
apartiale
with pp#
1, cp = 1 does net exist. ThisN°5 COMPUTER SIMULATIONS OF COMPOSITE MEDIA 559
e~=15-14 %p=7-13 e~=p~=1
~ °°
R é
É 60 )
Î ~o
~
~
,'
1 $
°C
o
~. o'
«' m.
Do o 2 0 4 DE o 6 'o DD o 2 0 4 o 6 off 0
Volume Fraction f Volume Fraction f
Fig. 4. Results from simulation of partiales with trie bulk materai values cp
= 18 -125, ~lp
=
4 -13.5, EM " ~IM
" 1. Trie real part
(epl'
rises continuously with no zero fine crossing. Trie imagmary
part (e~l)" looks similar to trie one in trie previous plot.
/z~=4-13.5 e~=18-125 e~=/z~=l
'~°A ""
)
""
'~°À ~
b_
(
'DD '
à
a
~Î 1~
$
~ à
)
~
f 1
É
o
ce ce
E
#
Î
2c
0 2 0 4 0 6 ù 8 a 2 0 4 off DB '0
Volume Froct>on f Volume Fraction f
(Values tram Simulation) (Values tram Multiplication)
Fig. 5. Simulated data for partiales with ep
= 18 -125, ~IP
= 4 -13.5, EM = ~IM = 1. On trie left hard side trie complete simulation (e~l) of both properties together is shown. On trie nght hard, both values were simulated atone and multiphed to give e ji. Comparmg trie results it tums out that there
is a nearly perfect agreement. So it is allowed to banale trie dielectric and magnetic eoEects separately.
has to be
kept
in mind for thefollowing plots,
where"purely magnetic partiales"
are shown.Looking
at thegraphs,
thesimilarity
with curves ofpurely
dielectricpartiales
is obvious[3,4]
(Fig. 6). Also, they
show the same characteristics: a curved region at small volume fractions and an almost linearregion
above some critical volume fractionfc. Looking
moreclosely
at the linear parts of the curves, it tutus out thatthey
areslightly
curved to theright.
Inspite
of the fact that this elfect isrelatively small,
it becomes important for thephysical interpretation
of the curves.The simulations have to be
compared
with the most often used classical effective mediumapproximations,
which is shown inFigure
7.Although
the formulae arenormally
used fordielectrics,
it can beproved
thatequations
for serres andparallel
circuits have the sonne ap- pearance formagnetic partiales
as for dielectric material [14]. Also, the Maxwell-Garnett ar-gumentation
can beapplied
topermeabilities,
as well as theLooyenga
formula. The Maxwell- Garnett relation isplotted
for the whole range of volume fractions,although
it is not well defined above some maximum volume fraction whichdepends
on theparticle shape.
It is obvi-%p=30-110 %M=eM=ep=1
W
'm ~
~ à
à ~
,~o
oe g
E ,"
m~
«~
Do 02 a4 off off 'o 02 04 off off 1a
Volume Fraction f Volume Fract>on f
Fig. 6. Simulated results for '~pure magnetic partiales". This is only justified by trie factorization property of trie effective materai properties. It tums out that pure magnetic curves show trie same
charactenstics as dielectric materials with comparable bulk values. Trie graph is curved for lower volume fractions and almost linear above some critical volume fraction fc. This froids for both, trie real part
ji'
and trie imaginary partji".
Recognize trie slightly nght curved part for higher volume fractions, an eoEect which is more obvious on trie right hard.2s
/
~
20
o o
's ~
o o o
'o o
o o
o s
~ o o
o
a o 2 a 4 a s o s '
Volume Fraction f
Fig. 7. Comparing trie most often used classical formulae it is revealed that there are large dioEer-
ences between trie simulated data al~d trie usual analytic forms. Especially trie Maxwell-Garnett result,
which is often used to analyze data deviates, widely from trie simulation results even at small volume fractions. The best approximations can be taken from trie more recent Looyenga form and the simple paral1e1circuit formula. Only trie real part of trie plot is shown for pp
= 25 i10, pM
= SP = EM = 1.
Trie deviations of trie data from trie classica1are as drastic for trie imagil~ary part as for trie real part shown here.
ous that these formulae are not suitable to describe the measurements,
although
some of these formulae are usedquite
often toanalyze
data. So a new formula ismandatory
to describe the results moreaccurately.
Their way ofsetting
up this new formula followsstraightforwardly
from the
interpretation
of the behavior of the effective media.N°5 COMPUTER SIMULATIONS OF COMPOSITE MEDIA 561
i
o >
Fig. 8. - The idea for trie interpretation of trie almost linear, but shghtly right
curved parts
plots at higher volume fractions is to assume a onnection
through the hole cavity
clusters from percolation eoEects above trie percolation reshold. So some kind of parallel connectivity
atenal.
3.
It is anbvious act that media, where the
of
one component variesfrom
f = 0 to f
=
1 and there is a perfectconnection
between
twoondition
for
the xistence of ejfecti~ematerial
values
which was
used
until now,namely
thatthe
particles haveto be small
comparedto
their innerwavelength.It
followsercolation theory that formerly
separated particles luster and the
cluster(s)
(atleast
one) grow to infinity very apidly at a critical ccupation
probability
which is
characteristic
for the
used lattice structure. In the presentcase,
the bond percolation(see
appropriate tool, because only bonds are necessary for connectivity and
not
some matching
areas
between
sites.
Also
we are talking about simple on thissubject
to mparethe esults.
So the infinite avelength
limit
(k~ . ri < 1 is not valid except forvery small olume fractions,
and even the
long avelength limit kvacuum rgrowingclusters, lready below the critical volume ractionl
his has to be taken into
account
in two dilferent ways. First,at
verysmall
volumef,
ailclusters
consist of one partiale, so most theories are applicable.After
that, withrising
olume
fraction,
the clusters become larger. This way,a
kind ofaverage partiale size has
to
beapplied to the theorieswhich leads to higher values for the effective media pararneters.
Very soon, the
clusters grow very fast and at
least
one cluster extends overThis
follows from
the definition of the criticalccupation
one
cluster reaches thesize injinity. This,
of course,
can be described asa
parallelcircuitbetween this
cluster and the surrounding media,
smaller clusters of partiale material.
On the other hand, the
surrounding media are no longer pure atrix, but a mixture
matrix
material
and everalclusters
with some size stribution. This leads to the fact hatthe straight fine
of
arallelconnectivity has to be lifted on the side
of
f =matrix
material
has hanged tohigher
aterial values. This ehavioris
shown in Figure8
inan exaggerated way. So the graph is not linear at higher volume
fractions
butslightly
an
eifect whichermeability or
p~=25 (real) -> Fit. p~~/~~~~=(f*pp~~~~~+(l-f)py~~~~ ~)
a=0493 b=0493
Fit Function à
é °
g
E °
é ?
~ =
é Î
°~ LoDyenga °°
02 03 04 05 08 07 08 09'ù
DD o' 02 03 04 05 08 07 08 09 'a
Volume Fraction f Volume Fraction f
Fig. 9. For pp = 25, pM = EM = SP = 1 trie simulated data (dots) are plotted with trie developed fit function
ji( f).
It is obvious that trie prediction of trie data is very good, although trie fit parametersa, b were found by a variety of dioEerent simulation data. It could be shown that these fitting parameters froid for a very wide range of materai properties as long as trie same lattice structure is used. Trie
parameters therefore are connected to trie lattice. Also trie deviation from trie data is shown in trie
plot to trie nght. Trie
errons remain smaller than 4 percent.
ered.
First, only
functions defined on the whole range of volume fractions are allowed.Next,
of all classicaltheories,
theLooyenga
form gives the bestprediction
of the simulation results.Further,
the formula should become a classical formula for very small volume fraction.And,
as a last point, the
growing partiale
size should be taken into account.Bànhegyi
[13] has shown for dielectrics that agood
way toapply particle
sizes andshapes
to trie
Looyenga
formula is tomodify
its exponent. Inanalogy
to thatapproach,
it can be concludedby
similar arguments that thegrowing particles,
1-e-,clusters,
have their elfect on the exponent of the effective media formula.Using
this ansatz, anequation
of thefollowing
form has been tested for the effective perme-ability
ofbinary
mixtures(as
it was clone forpermittivities
in[3,4])
lÂ(f)1"~~~ =
f
Pi~~~ +(i f)
P[~~~(6)
a(f)
=
a+b.f. (7)
It tutus out
that,
with an appropriate choice of the parameters a and b, thecomputed
resultscould be
reproduced
within a few percents(Fig.
9)1Also,
this formula can beapplied
to dielectric media with some new parameters c and dby
le(f)l~~~~
=f
EÎ~~~ +(1 f)
CÉ~~(8)
fl(f)
=
C+d.f (9)
very
successfully.
Of course,
joining
these twoformulae,
thecomplete
result of the simulation can bepredicted
very well
by
W(f)
=
e(f) A(f) (i°)
It should be clear that the parameters a, b and c and d have to
depend
on the usedlattice,
because thepercolation
threshold varies for dilferentgrids.
For thesimple
cubic lattice thatN°5 COMPUTER SIMULATIONS OF COMPOSITE MEDIA 563
we have
chosen,
the pararneters were determined to bea = 0.493
b = 0.493
c = 0.56
d = 0.42.
(Il)
So it is now
possible
to describe the simulated databy
ananalytical
formula with suitable accuracy. It should be mentioned here that for dielectrics the simulation lits very well theexperimental
data [4], so it is reasonable to assume that the function is agood description
of real situationsincluding magnetic properties.
4. Conclusion
It has been shown that in a
physical meaning
an effective medium cannot exist above a critical volume fraction.Therefore,
known classical models con be used neither for the exact inter-pretation
of measured data, nor for thedesign
of newelectromagnetic
materials.So,
a newway of
describing
theejfecti~e
behavior athigher
volume fractions had to be found. With the tools of computer simulations, mixtures could becomputed
within the whole range of volumefractions. With this
data,
aninterpretation
wasgiven
which leads in astraightforward
marinerto a function that describes the mixture values with
high
accuracy for agiven
lattice type. SO,once the parameters for a
given problem
with aspecial grid
aredetermined,
the newanalytic
function can be used to calculate the desired values without further simulation. On the other
hand,
for well-known materials it is now very easy to find theappropriate
mixture for any givenejfecti~e
material values.Acknowledgments
We would like to thank S. Stôlzle for the great amount of work on which this
investigation
is based. This work wassupported by
the BMFT/
Bonn(Grant 03M273782)
and the computercenter of the
University
ofCologné,
where ail calculations have beenperformed.
R. Pelsterand G. Nimtz have also contributed their part to this work.
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