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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�

(2)

J. Phys. I France 5

(1995)

555-564 MAY 1995, PAGE 555

Classification 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 January

1995)

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 of

binary

mixtures with both dielectric and mag- netic material

properties

is studied. A value which characterizes the mixture ratio of

composites

is the volume fraction

f

:=

Vp~rticie/l§~mpie.

The

partiale

sizes a should be well below the vac-

uum

wavelength

of the

electromagnetic

waves used. Such materials are known as effective media

(a

more exact definition will follow

below),

in which the waves "sec" several

partiales

over each

wavelength.

There is no well-defined

analytical theory describing

the behavior of these mixtures,

especially

on the

problem

of

extracting

the effective material

properties

of the mixture from the

corresponding

values of the

participating

components over a

satisfactory large

range of mixture ratios.

There are many dilferent models

dealing

with this matter

(for

an overview, see

il, 2]).

All have rather severe restrictions on

partiale shapé, size,

volume fraction and

wavelength.

It will be shown later that most theories and mixture formulae must fail at volume fractions

higher

thon 0.3 due to a violation of the base

preconditions. Nevertheless, they

are

commonly

used

over the whole volume fraction range.

In references

[3,4],

a novel numerical

approach

and the computer program COSME was pre- sented to simulate effective media with random distribution. This program has been extended to include

magnetic properties

as well and is named COSME II. The

general problem

is to

calculate the effective values from the

given

bulk

quantities. Conceming binary

mixtures, one

component is denoted as

partiale

P

(which

vanishes for

f

=

0),

the other one is called matrix M. Both materials are well defined

by

their bulk response

D,

H to the external

exciting

fields

© Les Editions de Physique 1995

(3)

~

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 described

by

the

complex permittivities

cp, CM and

permeabilities

pp,pM. The

atm now is to connect these

quantities

and the volume fraction

f

ta

get

the effective

complex

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 bulk

permittivities

and the bulk

permeabilities

of the components, so the

complex

effective

permeability

is pos-

sibly

a function of the bulk

permittivities

and ~ice ~ersa. It will be shown here that under certain conditions this

possibility

can be

neglected,

so in the formulae above the

corresponding

parameters are included in brackets.

l. Method

A resonant

cavity

with the dimensions Lx x

Ly

x Lz was divided into

regular

cubes with

edges

of unit

length.

Each cube was

randomly

filled either with material M or

P, according

to a

given

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 the

description

of the field distribution inside

electromagnetic

devices

developed by

Weiland

[5-10].

To each cube

a

tripod

of electric field vectors is

assigned.

These vectors are located at the

edges

of the cubes

(see Fig. 2).

Another

tripod consisting

of

magnetic

field vectors is

arranged

so that the

vectors penetrate the surfaces of the cube.

Doing

so for ail N

= Lx

Ly

Lz

cubes,

a set of 3N components of the electric field and 3N components of the

magnetic

induction is

gained.

These vectors form two

grids;

a

grid

G

consisting

of electric field vectors, and a

grid Ô

of the

vectors of the

magnetic induction,

shifted

by

half a cube

diagonal

with respect to G.

The

problem

con be solved

by transforming

Maxwell's

equations

into matrix

equations (for

further information see Ref. [3]). It is

important

that with this kind of discretization of the fields both the

tangential

component of E and the normal component of B

satisfy

the

boundary

conditions between the cubes

implicitly.

For

instance,

one of the Maxwell equations is transformed into

V x E

=

-~~

-

CDse

=

-DAÉ

,

(4)

N°5 COMPUTER SIMULATIONS OF COMPOSITE MEDIA 557

G

r~J

G --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

field

components)

and Ô

(magnetic

field

components)

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 the

partiales

into account, discretized material equations are aise established:

d =

coD~e

b =

poD~h.

This way, the dielectric

displacement

D and the

magnetic

field H can be defined in vector space,

leading

to the

following 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 used

here,

where A is trie

edge length

of trie cubes inside trie

cavity (this

is due to trie fact that these lattices are Ds = A .13N and DA = A~ .13N are

simple diagonal

matrices, where In is the

identity

matrix of the vector space with dimension

n).

This is a common, but

large

dimensioned and nonhermitian

eigenvalue equation,

which

con be solved

by

an

algorithm developed by

Stôlzle [3]. The effective material

properties

con

be calculated from the

complex

resonance

frequencies

of the empty and filled cavity:

m

=

())~ (5)

Attention should be

paid

to the fact that

only

a linked

quantity

q con be

calculated,

Dot values for the effective

permittivity

and

perrneability separately.

It will be

presented

in the next section

why

this

problem

could be

neglected.

(5)

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 from

f

= 0

(pure matrix)

to

f

= 1

(pure partiale material).

TO

simplify

the

calculations,

the matrix pararneters were

always

chosen as CM = pM = 1, which is trot a

significant

reduction, because any matrix values cari be repro-

duced

by

a

scaling

process D~ -

D]lem.

In the case of

e[ # 0,

this leads to dilferent loss tangents which has % be considered

by appropriate

new values for cp. We would like to stress the fact that there is no

difficulty

at all in

computing (cp)

over the whole range of volume frac- tion

using

the

COSME-program,

a fact which is important later on. The results were calculated

depending

on the volume

fraction,

so

always

functions

(cp)( f)

will be

presented.

The simulation

yields

two dilferent types of curves.

Depending

on the

given

set of bulk parameters (CM, PM, cp,

pp),

the curve of the real part

(c~l'

can pass zero at a

special

volume fraction

fo (Fig. 3),

or the curve is smooth and

increasing monotonically (Fig. 4).

The

plot

is more curved at smaller volume fractions and more linear at

higher

ones. For all

plots,

the

imaginary

part

(cp)"

is

always increasing monotonically

and

continuously;

a

sign change

would violate energy conservation inside the

cavity,

of course.

Under certain conditions it is

possible

to factorize the common value

$

into the parts

e and ji

iii,12].

This is valid for an internai

wavelength

À~,

represented by

the wave vector k~ = 27r/À~, smaller than the

particle

dimensions r ((k~

ri

«

1),

and has been tested in the

range up to k~ r m 1: Simulations have been done to compute

samples

with the

complete

set of bulk pararneters. This was followed

by

two more

simulations,

the first with cp = 1, pp

#

1 to

calculate ji, then a second with cp

#

1, pp

= 1 to obtain e. As a next step,

(cp)

was

compared

with the

product

e. ji. The result was that the

correspondence

was

nearly perfect (Fig. 5).

This lits well the

precondition

for factorization

according

to

il Ii,

1-e-, the

complete penetration

of ail

partides by

electric and

magnetic

fields without any

significant

decrease inside the

partiales.

These elfects are net included in the simulations as

long

as the

particles

have the minimum size

(1.e.,

the size of an

elementary

cell in the

cavity),

so this condition is fulfilled a

priorf.

It

cari be concluded that the simulations are valid if the

partiale

sizes are chosen in a range where

complete penetration

is

guaranteed.

Under this condition the

permeability

can be studied

separately

from the

permittivity, although

a

partiale

with pp

#

1, cp = 1 does net exist. This

(6)

N°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 the

following plots,

where

"purely magnetic partiales"

are shown.

Looking

at the

graphs,

the

similarity

with curves of

purely

dielectric

partiales

is obvious

[3,4]

(Fig. 6). Also, they

show the same characteristics: a curved region at small volume fractions and an almost linear

region

above some critical volume fraction

fc. Looking

more

closely

at the linear parts of the curves, it tutus out that

they

are

slightly

curved to the

right.

In

spite

of the fact that this elfect is

relatively small,

it becomes important for the

physical interpretation

of the curves.

The simulations have to be

compared

with the most often used classical effective medium

approximations,

which is shown in

Figure

7.

Although

the formulae are

normally

used for

dielectrics,

it can be

proved

that

equations

for serres and

parallel

circuits have the sonne ap- pearance for

magnetic partiales

as for dielectric material [14]. Also, the Maxwell-Garnett ar-

gumentation

can be

applied

to

permeabilities,

as well as the

Looyenga

formula. The Maxwell- Garnett relation is

plotted

for the whole range of volume fractions,

although

it is not well defined above some maximum volume fraction which

depends

on the

particle shape.

It is obvi-

(7)

%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 part

ji".

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 used

quite

often to

analyze

data. So a new formula is

mandatory

to describe the results more

accurately.

Their way of

setting

up this new formula follows

straightforwardly

from the

interpretation

of the behavior of the effective media.

(8)

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 varies

from

f = 0 to f

=

1 and there is a perfect

connection

between

two

ondition

for

the xistence of ejfecti~e

material

values

which was

used

until now,

namely

that

the

particles have

to be small

compared

to

their innerwavelength.

It

follows

ercolation theory that formerly

separated particles luster and the

cluster(s)

(at

least

one) grow to infinity very apidly at a critical ccupation

probability

which is

characteristic

for the

used lattice structure. In the present

case,

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 this

subject

to mpare

the esults.

So the infinite avelength

limit

(k~ . ri < 1 is not valid except for

very small olume fractions,

and even the

long avelength limit kvacuum r

growingclusters, lready below the critical volume ractionl

his has to be taken into

account

in two dilferent ways. First,

at

very

small

volume

f,

ail

clusters

consist of one partiale, so most theories are applicable.

After

that, with

rising

olume

fraction,

the clusters become larger. This way,

a

kind of

average partiale size has

to

be

applied 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 over

This

follows from

the definition of the critical

ccupation

one

cluster reaches the

size injinity. This,

of course,

can be described as

a

parallel

circuitbetween 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 everal

clusters

with some size stribution. This leads to the fact hat

the straight fine

of

arallel

connectivity has to be lifted on the side

of

f =

matrix

material

has hanged to

higher

aterial values. This ehavior

is

shown in Figure

8

in

an exaggerated way. So the graph is not linear at higher volume

fractions

but

slightly

an

eifect which

ermeability or

(9)

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 parameters

a, 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 classical

theories,

the

Looyenga

form gives the best

prediction

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 a

good

way to

apply particle

sizes and

shapes

to trie

Looyenga

formula is to

modify

its exponent. In

analogy

to that

approach,

it can be concluded

by

similar arguments that the

growing particles,

1-e-,

clusters,

have their elfect on the exponent of the effective media formula.

Using

this ansatz, an

equation

of the

following

form has been tested for the effective perme-

ability

of

binary

mixtures

(as

it was clone for

permittivities

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, the

computed

results

could be

reproduced

within a few percents

(Fig.

9)1

Also,

this formula can be

applied

to dielectric media with some new parameters c and d

by

le(f)l~~~~

=

f

EÎ~~~ +

(1 f)

CÉ~~

(8)

fl(f)

=

C+d.f (9)

very

successfully.

Of course,

joining

these two

formulae,

the

complete

result of the simulation can be

predicted

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 used

lattice,

because the

percolation

threshold varies for dilferent

grids.

For the

simple

cubic lattice that

(10)

N°5 COMPUTER SIMULATIONS OF COMPOSITE MEDIA 563

we have

chosen,

the pararneters were determined to be

a = 0.493

b = 0.493

c = 0.56

d = 0.42.

(Il)

So it is now

possible

to describe the simulated data

by

an

analytical

formula with suitable accuracy. It should be mentioned here that for dielectrics the simulation lits very well the

experimental

data [4], so it is reasonable to assume that the function is a

good description

of real situations

including 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 the

design

of new

electromagnetic

materials.

So,

a new

way of

describing

the

ejfecti~e

behavior at

higher

volume fractions had to be found. With the tools of computer simulations, mixtures could be

computed

within the whole range of volume

fractions. With this

data,

an

interpretation

was

given

which leads in a

straightforward

mariner

to a function that describes the mixture values with

high

accuracy for a

given

lattice type. SO,

once the parameters for a

given problem

with a

special grid

are

determined,

the new

analytic

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 the

appropriate

mixture for any given

ejfecti~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 was

supported by

the BMFT

/

Bonn

(Grant 03M273782)

and the computer

center of the

University

of

Cologné,

where ail calculations have been

performed.

R. Pelster

and G. Nimtz have also contributed their part to this work.

References

iii

Van Beek L.H.K., Progress in Dielectrics 7

(Heywood

Books, 1967) p. 69.

[2] McLachlan D.S., Blaszkiewicz M. and Newnham R-E-, J. Am. Geram. Soc. 73

(1990)

2187.

[3] Stôlzle S., Enders A. and Nimtz G., J. Phys. I France 2

(1992)

4ùl.

[4] Stôlzle S., Enders A. and Nimtz G., J. Phys. I France 2

(1992)

1765.

[5] Weiland T., Pari. Accel. 15

(1984)

245.

[6] Weiland T., Pari. Accel. 17

(1985)

227.

[7] Weiland T., Freq.

44(1) (1990)

9.

[8] Weiland T., Arch. Elekiron. Ubertragungsiech. 31-3

(1977)

l16.

[9] Weiland T., Arch. Elektr. (1979) H. 9.

[10] Weiland T., Arch. Elekir. 60

(1978)

345; id. fil

(1979)

103.

(11)

[11] Lamb W., Wood D.M. and Ashcroft N-W-, Phys. Reu. B 21

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