i mpact of the filler fraction in nc s g. baeza et al. macromolecules 2013 multi-scale filler...
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IMPACT OF THE FILLER FRACTION IN NCS
G. Baeza et al. Macromolecules 2013
Multi-scale filler structure in simplified industrial nanocomposite systems silica/SBR studied by SAXS and TEM
Structural Analysis
MULTISCALE STRUCTURE
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10-3 10-2 10-1
q (Å-1)
I(q)
/
si
(cm
-1) q
branch
qsi
qagg
8.4%v
beadsaggregatesnetwork
q-2.4
Artist viewTridimensionnal network built up from aggregates made of nanoparticles
Rbead10 nm
Ragg40 nm
si (Quantitative Model)-Densification of the silica network-Aggregates remain similar
dbranch120 nm
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10-3 10-2 10-1
21.1%v16.8%v12.1%v
q (Å-1)
I(q)
/
si
(cm
-1)
si
3
analysis
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106
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10-3 10-2 10-1
21.1%v16.8%v12.1%v8.4%v
q (Å-1)
I(q)
/
si
(cm
-1)
si
qbranch
qsi
qagg
GLOBAL VIEW: 3-LEVEL ORGANIZATION
High-q : Bead form factorqsi Rsi (R0= 8.55 nm = 27%)
Medium-q : qagg Ragg (35 – 40 nm) Interactions Between Aggregates
Low-q : qbranch Network branches (lateral dimension 150 nm), compatible with fractal aggregates (d2.4).
The network becomes denser and denser with si
Artist view:network built up from Aggregates made of nanoparticles
beadaggregatenetwork
QUANTITATIVE ANALYSIS: AGGREGATE RADIUS
Subtraction of the fractal law
Morphology of an aggregate
Ragg
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2 10-3 4 10-3 10-2 2 10-2
q (Å-1)
I(q)
/
si
(cm
-1)
si
qagg
Kratky Plots allow to extract <Ragg>
Ragg Distribution Hypothesis
0.5
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2 10-3 4 10-3 10-2 5 10-2
0.1
1
10-3 10-2 10-1
21.1%v16.8%v12.7%v8.4%v
q (Å-1)
q2 I(q
) /
si
(Å-2
cm
-1)
qagg
4
agg
aggin si
V
Vκ
q
πR
aggagg
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10-3 10-2 10-1
q (Å-1)
I(q)
/
si
(cm
-1)
d 2.4
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QUANTITATIVE MODEL
0
0.02
0.04
0 100 200
G[R
agg(N
agg)]
Nagg
<Nagg
>
<Nagg
2>1/2
Nagg
max
si
3aggagg V
κR π
3
4N
5
R*qexp
N
N*qP
2G
2
agg
2agg
agg
qP qS VΔρΦ
qIagg
appintersi
2
si
Scattering law linking structure and form (polydisperse case)
1) DETERMINATION OF <Pagg>
Nagg distribution
Working hypothesis
Calculation 6
agg
8
agg2G
R
RR
*Oberdisse, J.; Deme, B. Macromolecules 2002, 35 (11), 4397-4405
*
Ragg distribution
6
2agg
4agg
PYαΦ 21
αΦ-1 = 0)(qS
Semi-Empiric law from simulation
Hard-Sphere Potential (PY like)
qP qS VΔρΦ
qIagg
appintersi
2
si
agg
QUANTITATIVE MODELScattering law linking structure and form (polydisperse case)
2) DETERMINATION OF Sinter(q)app
Monte Carlo Simulation of polydisperse aggregates
Estimation of agg : TEM
κΦ
ΦΦ
fract
siagg
fract Same Working hypothesis
Sapp (q) depends on local si in the branches = agg inter
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SELF CONSISTENT MODEL
q,P q,S VΔρΦ
q,Iagg
appintersi
2
si
Final determination of
Results:<Ragg> decreases slightly
<Nagg> constant !
increases slightly
si <Ragg> (nm) <Nagg> Nagg
8.4%v 40.2 0.31 51 53
12.7%v 35.9 0.33 40 43
16.8% 36.1 0.36 44 47
21.1% 35.2 0.38 44 47
I(q) is readExperimental
I(q) = f()saxs
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2 10-3 4 10-3 10-2 2 10-2
q (Å-1)
I(q)
/
si
(cm
-1)