Chemistry Reference
In-Depth Information
h
=
d
-
1
,
(15.36)
n
p
where ν
p
is correlation length index in percolation theory,
d
is dimension of
Euclidean space, in which a fractal is considered.
As it is known [4], the polymers nanocluster structure represents itself
the percolation system, for which
p
= φ
cl
,
p
c
= 0.34 [35] and further it can be
written:
R
(
)
n
cl
~
f
-
0, 34
p
,
(15.37)
cl
l
st
where
R
cl
is the distance between nanoclusters, determined according to the
Eq. (4.63),
l
st
is statistical segment length, ν
p
is correlation length index, ac-
cepted equal to 0.8 [77].
Since in the considered case the change
E
p
at
n
cl
variation is interesting
first of all, then the authors of Ref. [74] accepted
cl
= const = 2.5×10
27
m-
3
,
l
st
= const = 0.434 nm. The value
E
p
calculation according to the Eqs. (15.35)
and (15.37) allows to determine this parameter according to the formula
[74]:
(
)
(
d
-1)
n
E
=
28, 9
f
-
0, 34
p
, GPa.
(15.38)
p
cl
sters size (diameter)
D
cl
, calculated according to the Eq. (15.38) is adduced.
As one can see, the strong growth
E
p
at
D
cl
decreasing is observed, which is
identical to the shown one i
n
Fig. 15.33
.
The adduced in Fig. 15.34 experi-
mental data for REP, subjected to hydrostatic extrusion and subsequent an-
nealing, correspond well enough to calculation according to the Eq. (15.38).
The decrease
D
cl
from 3.2 up to 0.7 nm results again to
E
p
growth on order
of magnitude [74].
The similar effect can be obtained for linear amorphous polycarbonate
(PC) as well. Calculation according to the Eq. (15.38) shows,
n
cl
reduction
from 16 (the experimental value n
cl
at
T
= 293K for PC [5]) up to 2 results
to
E
p
growth from 1.5 up to 5.8 GPa and making of structureless (
n
cl
= 1) PC
will allow to obtain
E
p
≈ 9.2 GPa, that is, comparable with obtained one for
composites on the basis of PC.