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Effect of Functional Groups on the Agglomeration of Graphene in Nanocomposites
Zheling Lia, Jingwen Chua, Cheng Yangb, Sijia Haob, Mark A. Bissetta,
Ian A. Kinlocha, Robert J. Younga
aNational Graphene Institute/School of Materials, University of Manchester, Oxford
Road, Manchester M13 9PL, UK
bResearch Center of Graphene Applications, Beijing Institute of Aeronautical
Materials, Beijing, 100095, China
Corresponding Author: Robert J. Young
E-mail: [email protected] Tel: +44-161-306-3550
Abstract
A base wash procedure was used to partially remove the oxygen
functional groups from the graphene oxide (GO) flakes to prepare the
base-washed GO (BwGO). It is found that the base wash treatment
does not alter the physical properties (size, thickness etc.) of the GO
significantly but the chemical composition is changed.
Nanocomposites were prepared by incorporating the BwGO flakes
obtained in a poly(vinyl alcohol) (PVA) matrix. It was found the storage
modulus of the nanocomposites is enhanced from 4.4 GPa to 6.5 GPa
with 5 wt% of BwGO. This is in agreement with the micromechanical
estimation obtained by using Raman spectroscopy that follows the
interfacial stress transfer from the matrix to the BwGO fillers. The
lower effective modulus of BwGO than GO as calculated using the
classical ‘rule of mixtures’ is due to the loss of functional groups on
GO that serve as a surfactant to prevent the flakes from re-
1
agglomerating. An agglomeration factor ηa is therefore proposed and a
concept of ‘effective volume fraction’ is introduced to quantify and
evaluate the level of agglomeration of fillers in nanocomposites,
which can be otherwise difficult to visualize optically. It is found that
the removal of the functional groups causes the flakes to
re-agglomerate, and reduces the ‘effective volume fraction’ by about
10~20%.
Keywords: Graphene, Agglomeration, B - Mechanical properties, D-Raman
spectroscopy
1. Introduction
Since its isolation and identification in 2004, graphene has attracted enormous
attention for both fundamental studies and practical applications [1]. At present, more
focus is aimed towards applications, among which graphene-reinforced nanocomposites
is the one that is progressing most rapidly [2, 3]. Its high stiffness, strength and
stretchability all endow the composites with extraordinary mechanical properties even at
low filler loadings [4, 5]. Graphene is chemically processible in that it can be
functionalized with, for example, epoxide, hydroxyl and carbonyl groups on its basal
plane and edges [6, 7]. Unlike graphene, the formation of hydrogen bonds between GO
and the media facilitates its dispersion in water and moreover, significantly enhances
interface interaction with polymers such as PVA [8-10]. More important for
nanomaterials, the bonds can prevent the GO flakes from re-agglomerating, which
retains the large surface area of GO to enable an effective interaction with the matrix.
On the other hand, due to the functionalization and the accompanied breaking of the sp2
2
bonds, the stiffness and strength of GO drop to only about 25% of those of graphene [4,
11]. The diverse preparation methods, however, lead to a variation in surface chemistry
and hence the interfacial interaction with the matrix being inevitably unpredictable [12].
Many groups have therefore tried to understand the mechanisms of the oxidation [12,
13] and the effects, both positive and negative, of the functional groups on the
interfacial interaction with the matrix in composites. By using the Hansen and
Hildebrand parameters, Konios et al.[14] found that functionalization has a strong effect
on the solubility and stability of GO and reduced GO. Using a base-wash method,
Rourke et al.[13] demonstrated that GO consists of graphitic plane and oxidative debris
non-covalently complexed rather than the conventionally-accepted model where all the
oxygen groups are covalently bonded to the graphitic plane. It has also been found that
the functional groups of GO not only improves the interfacial stress transfer between
matrix and fillers [8, 15], but also between the individual GO layers [16]. Another
positive effect of the functional groups is that they prevent the GO from re-
agglomerating thus a high surface area is retained to interact with the matrix, which
enhances the mechanical properties of composites significantly [10]. Many of the key
parameters in micromechanical models have already been discussed for nano-fillers,
such as volume fraction [9], lateral dimensions (aspect ratio) [17, 18] and the spatial
orientation [19-21]. However, the effect of agglomeration, which is less of an issue for
micro-fillers such as fibers but becomes more crucial for nano-fillers because of their
large surface area, is missing in many micromechanical models [9, 18]. Effort has been
made to predict the mechanical impact of agglomerations by defining a ‘filler-rich’
region and a ‘resin-rich’ area [22], to evaluate the level of agglomeration [23] and to
reveal its influence on mechanical properties of nanocomposites [24]. Nevertheless, a
3
simple way of quantifying the level of agglomeration and evaluating its impact still has
not been reported.
Raman spectroscopy has been used widely to follow the deformation mechanics of
monolayer graphene-based materials [16, 25-27] and enhanced bulk nanocomposites [8,
28, 29] by correlating the stress/strain sensitive Raman band position to the strain in the
graphene. In this work, the functional groups of GO have been removed [13] and the
BwGO obtained is mixed with PVA to prepare a nanocomposite. The advantages of this
base-wash approach is that it does not alter the lateral dimension and thickness of the
flakes noticeably [18, 25] or generate massive defects/holes [30, 31] all of which have
been demonstrated to have significant impact on properties. It only removes the
oxidative functional groups so ensures the amount of functional groups is the only
variable. The spatial orientation of fillers and the interfacial stress transfer to the matrix
was investigated by employing Raman spectroscopy. Through the concept of ‘effective
volume fraction’, the effect of functional groups on the re-agglomeration of fillers thus
on the mechanical properties of the nanocomposites is quantified and discussed.
2. Experimental
2.1 Materials and sample preparation
PVA (Mw~89000-98000, 99+%hydrolysed, Sigma Aldrich) was used as received.
The graphite (Grade 2369) was supplied from Graphexel Ltd. Other reagents were of
analytical grade and used without further purification.
GO was prepared using the modified Hummers’ method [32, 33], basically by
attacking the graphite using strong acid. Details of the preparation procedures can be
found elsewhere [8]. The base wash procedure was applied according to the previous
report [13] and details can be found in S1 in Supplementary Materials. PVA powder
4
was dissolved in H2O with a PVA concentration of 10 wt% at 90 oC. The PVA solution
and the BwGO suspension were then mixed with BwGO loadings of 0 wt% (neat PVA
for comparison), 1wt%, 2wt%, 3wt% and 5wt%, as detailed in S2 in Supplementary
Materials.
2.2 Characterization
Atomic force microscopy (AFM) image was obtained using a Dimension 3100 AFM
(Bruker). Optical image was obtained using a Nikon Eclipse LV100ND microscope
with the BwGO flakes deposited on a SiO2/Si substrate. Scanning electron microscopy
(SEM) images were obtained by using an EVO60 VPSEM (Zeiss). Fourier-transform
infrared (FTIR) spectra were obtained in the transmission mode using a Nicolet 5700
spectrometer (ThermoFisher Scientific Inc.), and the GO and BwGO samples were dried
and mixed with KBr for the analysis. X-ray diffraction patterns were obtained using a
PANalytical X’Pert X-Ray diffractometer (Philips) with a Cu Kα radiation source
(λ=1.542Å). The tensile properties of the neat PVA and PVA/BwGO nanocomposites
were determined using an Instron-1122 universal testing machine, with dumbbell shape
specimens of width ~4 mm and gauge length ~15 mm. Before testing the samples were
left in the laboratory for ~ 24h at a temperature of 23±0.1oC and a humidity of around
50±5%. The loading rate of the tensile test was 1.0 mm/min. The dynamic mechanical
properties were measured with a DMA Q800 (TA Instruments). Specimens were heated
from -10 oC to 120 oC at 3 oC/min. A frequency of 1 Hz and a static force of 0.005 N
were used.
The correlation of the mass fraction wf (wt%) with the volume fraction Vf (vol%) of
the BwGO in the nanocomposites were determined using Eq.(1) [9]:
5
V f=w f ρ p
wf ρp+(1−w f )ρg Eq. (1)
where ρp ~1.3 g/cm-3 and ρg ~2.2 g/cm-3 represent the density of PVA and BwGO,
respectively [9]. The filler loadings of 1 wt%, 2 wt%, 3 wt% and 5 wt% can be
converted to 0.6 vol%, 1.2 vol%, 1.8 vol% and 3.0 vol%, respectively. The dried
nanocomposite films were aligned as shown in Fig.1(a) to characterize the spatial
orientation of BwGO by polarized Raman spectroscopy [20]. The laser was parallel to
the X axis and the polarization of the incident and scattered radiation were parallel to
each other. The specimen was rotated around the X axis at different angles Φ. For the
in-situ Raman deformation tests, the BwGO/PVA films were dried on top of a
poly(methyl methacrylate) (PMMA) beams and were placed into a four-point bending
rig on the Raman microscope stage (Fig.1(b)). The specimen beams were then deformed
stepwise and at each strain level Raman spectra were collected. The strain was
measured using a resistance strain gauge bonded close to the BwGO/PVA films. The
laser spot size was around 2 μm in diameter [34] and the polarization of the laser beam
was set parallel to the tensile direction, with no analyzer used.
3. Results and Discussion
3.1 Characterization of GO and BwGO
It is shown in the AFM image (Fig. 2(a)) that the BwGO flakes typically have a
lateral dimension of ~10 µm, almost the same as the GO, demonstrating the bash wash
procedure used in this work does not alter the flake size noticeably [8]. Although the
AFM height profiles (inset in Fig. 2(a)) show the typical thickness of monolayer in the
order of 2 nm, folding and restacking of the BwGO flakes can still be observed,
different from what has been observed in GO [8]. This is confirmed in the optical
6
micrograph (Fig.S1) which shows that heavy restacking of the flakes, demonstrating
that the removal of the oxygen functional groups leads to the flake re-agglomeration.
The FTIR transmission spectra of both GO and BwGO are generally similar, but the
O-H stretching peak at around 3400 cm-1 is much weaker in BwGO than that of GO
(Fig. 2(b)). Additionally the GO spectrum has a peak ~1720 cm-1 indicating the presence
of C=O stretching which is absent in the spectrum of BwGO. The peak ~1380 cm-1 for
the C-OH bending and the peak ~1090 cm-1 corresponding to the C-O-C bond [15] are
weaker in the spectrum of BwGO, suggesting fewer of these groups present.
The structure of the raw materials and the nanocomposites has also been studied
through XRD (Fig. S2), which shows a large expansion of interlayer space during the
oxidation of graphite, but almost no change when the oxidative debris is removed from
the GO during the base wash procedure. The spatial orientation of the GO in the
nanocomposites was quantified by using polarized Raman spectroscopy. It has been
demonstrated by Li et al.[8] that the Raman D band intensity (ID) is a maximum when
the polarization of the Raman laser is parallel to the in-plane vibration of GO while a
minimum when they are perpendicular to each other. The spatial orientation can be
quantified by fitting ID as the function of Φ (Fig.1(a)) using (Eq.(2)) and more
importantly, they are further correlated to the modulus of the composite (Ec) through the
Krenchel orientation factor ηo for 2D flakes (Eq.(3)) [20]. This has been demonstrated
recently to be ‘1’ for perfectly-oriented flakes, and ‘8/15’ if the flakes are oriented
randomly [20]. Three different locations of each sample were tested and one
representative result from each sample is shown in Fig. 3. It can be seen that ηo
increases as the BwGO loading increases, suggesting an increasing spatial orientation of
BwGO. This agrees with the result for the reduced GO [21], but not with the
7
observation in the GO reinforced PVA nanocomposites where ηo decreases as the GO
loading increases [20]. This is because, for BwGO or rGO, as the loading increases, the
flakes become settled and self-oriented in the plane of the nanocomposite film due to
the constraint in space [21]. This is also the mechanism for the larger graphene flake
having better spatial orientation [35]. However, for GO, the presence of functional
groups on the basal plane actually act as weak points where wrinkling, crumpling and
fracture can potentially occur as the filler loading increases [36], which increases the
degree of disorder so a decreased spatial orientation can be observed. It can also be seen
from the SEM images that the BwGO flakes are generally aligned in the plane of
nanocomposites films (Fig. S3).
I sample(Φ )=I o⋅{ 815
+⟨P2(cosθ )⟩(−1621
+ 87
cos2Φ)+⟨ P4(cosθ )⟩( 835
− 87
cos2Φ+cos4Φ)} Eq.(2)
ηo=8
15+ 8
21⟨P2(cosθ )⟩+ 3
35⟨ P4 (cosθ )⟩
Eq. (3)
3.2 Mechanical properties of the nanocomposites
With well dispersed and spatially aligned BwGO in the PVA matrix, the mechanical
properties of the nanocomposites have been studied using tensile testing and DMTA.
The stress-strain curves of tensile test are shown in Fig. 4(a), where it can be seen that
the Young’s modulus (Ec) and ultimate tensile strength increases as the BwGO loading,
but the strain to failure tends to decrease. A higher loading of BwGO stiffens but also
embrittles the nanocomposites.
The thickness of films (~30 μm) was however too thin for an accurate measurement
of the modulus of nanocomposites especially at the initial stage, so the storage modulus
8
of the nanocomposites was also measured. The storage modulus as the function of
temperature is shown in Fig. 4(b), and the values at 20 oC are summarized in Table 1.
As the BwGO loading increases from 0 wt% to 5 wt%, the room temperature storage
modulus increases from to 4.4 GPa to 6.5 GPa. Based on this, the effective modulus of
fillers (Eeff) i.e. the actual modulus rather the theoretical value, can be estimated by
using the classical rule of mixtures:
Ec=Eeff V f+(1−V f ) Em Eq. (4)
where Em is the matrix modulus. The estimated Eeff is also shown in Table 1, and it can
be seen that Eeff drops as the BwGO loading increases, probably due to the aggregation
at higher BwGO loading, similar to the observation in GO/PVA nanocomposites [8].
3.3 In-situ deformation tests by Raman spectroscopy
In order to estimate Eeff in micromechanics, the BwGO/PVA nanocomposites were
deformed and characterized in-situ by Raman spectroscopy, which has been
demonstrated to be able to measure Eeff of GO in PVA nanocomposites [8]. Typical
Raman spectra of GO, BwGO, PVA and 1wt% BwGO/PVA nanocomposites are shown
in Fig. S4(a). The nanocomposites with different BwGO loadings were then deformed
using a four-point bending rig as described in the Experimental section. The Raman D
band position (ωD) has been demonstrated to downshift with ε, and the shift rate
(dωD/dε) reflects the stress transfer efficiency from the matrix to the BwGO filler, with
the higher the value of dωD/dε, the better the stress transfer [8, 16]. The reason for this is
that the value of dωD/dε is proportional to the change of the volume of the crystal
(strain) from the knowledge of the Grüneisen parameter, and a higher dωD/dε
corresponds to a larger strain of BwGO that requires a larger stress. The D band of a 3
wt% BwGO/PVA nanocomposite before and after deformation is shown in Fig. S4(b),
9
and a strain-induced shift of ωD can be clearly seen, similar to that of GO [8]. In detail,
ωD as the function of ε is shown in Fig. 5 for all the BwGO loadings. Generally the
values of dωD/dε are about -7 cm-1/% strain, but the average values tend to decrease as
the BwGO loading increases, indicating that interfacial stress transfer is less efficient.
Thus it appears that there is a poorer interface at higher BwGO loading.
A calibration has been established for GO/PVA nanocomposites [8] to convert the
dωD/dε to Eeff of fillers using the knowledge of the Grüneisen parameter [26, 37]. A
generic form is given as:
Eeff=−
dωD /dε
(dωD /dε )ref
×tgra
tBwGO× Egra
Eq.(5)
where (dωD/dε )ref = -30 cm-1/% is the reference value of dωD/dε as calculated
theoretically [38]. The parameters tgra and tBwGO are the thickness of graphene and
BwGO, taken as 0.34 nm and 0.85 nm, respectively. It is noted that the thickness of
BwGO is the same as that of GO as revealed by AFM and XRD (Fig. 2, Fig. S2 and
[8]). The ratio of tgra and tBwGO in Eq.(5) corresponds to the reduction of Eeff due to the
expansion in the flake thickness. Egra is the modulus of graphene ~ 1050 GPa. This
equation yields the values of Eeff as shown as the blue points in Fig. 6(a), in good
agreement with the Eeff obtained using DMTA (Table 1 and black points in Fig. 6(a)),
confirming the validity of this micromechanical estimation. The estimated results are
also compared with the values obtained in GO/PVA nanocomposites that were prepared
in the same manner (Fig. 6(b)) [8]. It can be seen the Eeff from both GO and BwGO
follow similar behavior and decrease as the filler loading increases. However, values of
Eeff for BwGO are about 10~20% lower than those of GO for all the filler loadings (Fig.
6(b)).
10
It has been shown that the spatial orientation [20] and lateral dimension [25, 31] of
fillers also play significant roles in determining Eeff. Re-arranging Eq. (4) by taking into
account the Krenchel orientation factor ηo and the length factor ηl, gives:
Ec=ηl ηo EBwGO⏟Eeff
V f +(1−V f ) Em
Eq. (6)
where EBwGO denotes the theoretical modulus of BwGO. The values of ηo as calculated
above are summarized in Table 2. The length factor ηl of BwGO flakes are calculated
according to the ‘shear-lag’ theory [18]:
ηl=1−tanh (ns /2 )ns /2
Eq. (7)
where n=[Gm/EBwGO·Vf/(1-Vf)]1/2 and Gm=Em/ 2(1+v) is the shear modulus of the PVA
matrix [17] which can be calculated by using Em≈4.4 GPa (Table 1) and the Poisson’s
ratio of the PVA matrix v ≈0.4 [39]. s is the aspect ratio of BwGO, and can be taken as
about 12000 according to Fig. 2. Consequently, the values of ηl are calculated in Table
2, for 1 wt%, 2 wt%, 3 wt% and 5 wt% BwGO/PVA nanocomposites, respectively. As
the base wash procedure does not alter the lateral dimensions, it is assumed GO and
BwGO fillers have similar values of s thus ηl.
Direct measurement revealed a modulus of GO ~250 GPa [11] and it is assumed to
be the same for EBwGO. This is lower, however, than the theoretical value ~ 420 GPa (Eq.
(5)) due to the presence of defects. However, substituting the values of Eeff in Fig. 6, ηo
and ηl in Table 2 into EBwGO=Eeff/ηoηl as shown in Eq.(6), EBwGO is calculated to have an
average value of ~150 GPa, still somewhat lower than even for the direct measurement
[11]. It is speculated that this reduction of Eeff is a result of different levels of dispersion
and agglomeration of GO and BwGO in the nanocomposites [13]. As agglomeration is
11
dependent on the lateral dimensions and spatial orientation of the nanofillers, an
agglomeration factor ηa can be added into Eq.(6) as:
Ec=ηl ηo EBwGO⏟Eeff
⋅ηa v
⏟veff
+(1−v ) Em
Eq. (8)
where ηa is defined between 0 and 1. When ηa=0, all the BwGO flakes are agglomerated
hence they are no longer ‘nano-flakes’ but a bulk graphite instead, thus nearly no stress
transfer takes place [40]. When ηa=1, there is no agglomeration and all the BwGO
flakes are in the matrix and have good interaction with the matrix to enable efficient
stress transfer. Therefore, veff= ηav can be defined as ‘effective volume fraction’ that
reflects the ‘true’ volume fraction of which all the BwGO flakes being individually
dispersed without any agglomeration. The vlues of ηa were calculated for both the GO
(based on the results in Ref. [8] and [20]) and BwGO with different filler loadings, as
shown in Fig. 7.
In both GO and BwGO nanocomposites, ηa decreases (i.e. the degree of
agglomeration increases) as the filler loading increases, however, in different ways. In
GO nanocomposites, the values of ηa do not vary dramatically until 5 wt%, indicating a
fairly good dispersion of GO at low filler loading. The increased agglomeration at 5 wt
% can be primarily from the restacking of the flakes (no stacking order as it cannot be
observed by XRD (Fig. S2)), but also some ‘edge-edge’ or ‘edge-plane’ interaction
[41]. In contrast, the BwGO fillers start with an even better dispersion than GO, but ηa
drops dramatically as the loading increases even at low filler loading. This demonstrates
the tendency of BwGO to agglomerate as the loading increases because of the lack of
functional groups [15, 42], further confirming the results using molecular dynamics
simulations [43]. In practice, this is crucial because achieving a higher loading of
12
graphene filler is quite a hot topic in the fabrication of graphene nanocomposites. The
significance of this is that it characterizes the agglomeration of the graphene flakes
without functional groups which can be difficult to observe by using other
techniques after being mixed with the matrix (Fig. S3). The agglomeration level of
BwGO being better than that of GO at 1 wt% is probably due to the poorer spatial
orientation of BwGO than that of GO (Table 2) hence there is less chance for the basal
planes to attach and restack. It is noted that the different Eeff in GO and BwGO may also
result from the different interfacial stress transfer due to the functional groups [15].
However, the GO flakes have been found to have a good stress transfer efficiency so
that even the strain drop predicted by ‘shear-lag’ theory at the edges can be neglectable
[16]. Accordingly, for flakes with such large size, the effect of interface on Eeff only has
a marginal effect.
4. Conclusions
Using a base wash procedure, oxygen functional groups have been
removed from GO flakes, and the BwGO flakes obtained have been
incorporated into a PVA matrix to make a nanocomposite. The spatial
orientation and the interfacial stress transfer of the BwGO/PVA
nanocomposites have been investigated and compared with those of
the nanocomposites prepared with GO. It has been demonstrated that
generally the micro-structure and mechanical properties of both
nanocomposites are very similar, but the effective moduli of the
BwGO fillers are ~10% lower than that of the GO fillers. An
agglomeration factor ηa has been proposed, along with the ‘effective
volume fraction’ veff to quantify and evaluate the level of
13
agglomeration of both fillers in nanocomposites, which would
otherwise be difficult using other techniques. It has been found that
the removal of functional groups causes the flakes to re-agglomerate,
and reduces the ‘effective volume fraction’ of the BwGO by about
10~20%.
Acknowledgements
This work was supported by EPSRC (award no. EP/I023879/1) and the Beijing
Institute of Aeronautical Materials (BIAM).
Conflict of Interest
The authors declare no competing financial interest.
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X
Y
F
Laser Propagation
Laser Polarization
(a) (b)Z
Graphene Flake
Nanocomposite
Force
Laser Propagation
Fig.1 Experimental set-up of (a) the polarized Raman spatial orientation test and (b) the
in-situ Raman deformation test.
19
500 1000 1500 2000 2500 3000 3500 4000
O-H
C-O-C C-OH C=O
BwGO
GO
Tran
smitta
nce
Wavenumber (cm-1)
10 μm 20 nm(a)
0 5 10 15 20 25
-2024
0 5 10 15 20 25147
Position (m)
Hei
ght (
nm)
(b)
Fig. 2 (a) AFM image of the BwGO flake. The inset is the height profiles along the lines
with the corresponding colors. (b) FTIR spectra of GO and BwGO.
-20-10
0
10
20
3040
5060
708090100110
0.00.10.20.30.40.50.60.70.80.91.01.1
o = 0.59
P2(cos) = 0.20 P4(cos) = -0.26
1 wt% BwGO/PVA
D B
and
Inte
nsity
-20-10
0
1020
3040
5060
708090100110
0.00.10.20.30.40.50.60.70.80.91.01.1
o = 0.63
P2(cos) = 0.20 P4(cos) = 0.29
2 wt% BwGO/PVA
D B
and
Inte
nsity
-20-10
0
1020
3040
5060
708090100110
0.00.10.20.30.40.50.60.70.80.91.01.1
o = 0.71
P2(cos) = 0.32 P4(cos) = 0.67
3 wt% BwGO/PVA
D B
and
Inte
nsity
-20-10
0
1020
3040
5060
708090100110
0.00.10.20.30.40.50.60.70.80.91.01.1
o = 0.80
P2(cos) = 0.58 P4(cos) = 0.48
5 wt% BwGO/PVA
D B
and
Inte
nsity
(a) (b)
(c) (d)
Fig. 3 ID as the function of the angle Φ for (a) 1wt%, (b) 2 wt%, (c) 3 wt% and (d) 5 wt
% BwGO/PVA nanocomposites.
20
0 50 100 150 200 250 300
0
10
20
30
40
50
60 2wt% bwGO/PVA 3wt% bwGO/PVA 5wt% bwGO/PVA
Stre
ss (M
Pa)
Strain (%)
PVA 1wt% bwGO/PVA
(a) (b)-20 0 20 40 60 80 100 120
0
1
2
3
4
5
6
7
8
Sto
rage
Mod
ulus
(GP
a)
Temperature (o)
PVA 1wt% bwGO/PVA 2wt% bwGO/PVA 3wt% bwGO/PVA 5wt% bwGO/PVA
Fig. 4 (a) Stress-strain curves and (b) storage modulus as the function of temperature of
neat PVA and BwGO/PVA nanocomposites with different BwGO loadings.
0.0 1.0 2.0 3.0 4.0 5.0 6.07-6-5-4-3-2-1-
0123
3.6 - =epolS 1.2 mc 1-%/
AVP/OGwB %tw 3
D
mc)
1-
(
(%) niartS0.0 1.0 2.0 3.0 4.0 5.0 6.0
7-6-5-4-3-2-1-
0123
6.6 - =epolS 6.1 mc 1-%/
AVP/OGwB %tw 5
D
mc)
1-
(
(%) niartS
(a) (b)
(c) (d)
0.0 1.0 2.0 3.0 4.0 5.0 6.07-6-5-4-3-2-1-
0123
0.8 - =epolS 0 mc 1-%/
AVP/OGwB %tw 2
D
mc)
1-
(
(%) niartS0.0 1.0 2.0 3.0 4.0 5.0
6-
5-
4-
3-
2-
1-
0
1
2
3
8.7 - =epolS 4.3 mc 1-%/
AVP/OGwB %tw 1
D
mc)
1-
(
(%) niartS
Fig. 5 ωD as a function of strain ε of (a) 1 wt%, (b) 2 wt%, (c) 3 wt% and (d) 5 wt%
BwGO/PVA nanocomposites.
21
1 2 3 4 5
60
80
100
120
140
160
BwGO Loading (wt%)
E eff -
DMTA
(GPa
)
60
80
100
120
140
160
Eeff - Ram
an (GPa)
(a) (b)
1 2 3 4 5
60
80
100
120
140
160
GO BwGO
E eff -
Ram
an (G
Pa)
BwGO Loading (wt%)
Fig. 6 (a) The calculated values of Eeff based on DMTA data (black points) and dωD/dε
in Raman spectroscopy (blue points). (b) Eeff as a function of the filler loadings, of
BwGO and GO in PVA nanocomposites (after Ref. [8]).
1 2 3 4 50.20
0.25
0.30
0.35
0.40
0.45 GO BwGO
a
Filler Loading (wt%)
Fig. 7 The values of ηa for GO (black, after Ref. [8] and [20]) and BwGO (red) with
different filler loadings.
22
Table 1 Storage modulus at 20 oC and the corresponding Eeff of BwGO in
nanocomposites.
Samples Storage modulus at 20 oC (GPa) Eeff (GPa)PVA 4.4 ± 0.7 -
1wt% BwGO/PVA 5.1 ± 1.0 1092wt% BwGO/PVA 5.6 ± 0.8 1023wt% BwGO/PVA 5.8 ± 0.3 795wt% BwGO/PVA 6.5 ± 0.6 72
Table 2 Values of ηo and ηl calculated for the 1 wt%, 2 wt%, 3 wt% and 5 wt%
BwGO/PVA nanocomposites.
Samples ηo ηl
1wt% BwGO/PVA 0.66 ± 0.14 0.962wt% BwGO/PVA 0.74 ± 0.09 0.983wt% BwGO/PVA 0.69 ± 0.04 0.985wt% BwGO/PVA 0.80 ± 0.09 0.98
23
24