Biomedical Engineering Reference
In-Depth Information
critical domain is the range of values of |p
p c |/p c where the critical exponents can be
observed.
Away from the threshold,
fluctuations decrease in amplitude, and in this case the
expected exponents are independent of the space dimensionality and are characterized by
the so-called mean
field values. These values are listed in the last column of Table 3.2 .It
was shown by de Gennes ( 1977 ) and Daoud ( 1979 ) that the exponents expected in the
random cross-linking of high molecular mass polymers in the molten state are mean
eld
exponents, and this case is known as the vulcanization limit, by analogy with the cross-
linking of a rubber in a dense medium. In semi-dilute solutions, the width of the critical
domain is a function of the ratio c/c*, where c* is the overlap concentration; for instance,
for c =10c*, the width could be nearly 0.4.
3.4
Percolation and gelation
The connection between percolation and gelation was
first suggested by Frisch and
Hammersley ( 1963 ) and was analysed in greater depth in independent papers by de
Gennes ( 1976 ) and Stauffer ( 1976 ) in 1976. The best analogy recognized is between
permanent cross-link formation in a chemical reaction and bond formation in a numerical
simulation. The extent of the reaction is the probability of bond formation; clusters are
branched macromolecules, while f is the functionality in a step growth process, as
discussed in Section 3.1 .
Table 3.3 gives the equivalence between the simulated process and a real cross-linking
process.
The equivalence between electrical conductivity and shear modulus appears at the
bottom of the table. Kirchhoff
s current law states that the sum of the electric currents at
each node of a network is zero:
'
X
g ij ð
v i
v j Þ¼
0
;
ð
3
:
15
Þ
j
Table 3.3 Analogy between percolation and gelation.
Percolation
Chemical gelation
Percolation threshold p c
Gel point
Connected bond
Reacted functional group
Fraction of connected bonds p
Extent of reaction p
Lattice for p < p c
Sol state
Lattice for p > p c
Gel state
Mean cluster size s av (p), p < p c
Average molecular mass M w (p)(p < p c )
Infinite cluster
Gel network
Percolation probability P(p), p > p c
Gel fraction
Coordination number z
Functionality f
Network conductivity σ
Equilibrium elastic modulus
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