characterisation of graphite nanoplatelets and the physical properties of graphite...
TRANSCRIPT
C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9
. sc iencedi rec t . com
ava i lab le a t wwwjournal homepage: www.elsevier .com/ locate /carbon
Characterisation of graphite nanoplatelets and the physicalproperties of graphite nanoplatelet/silicone compositesfor thermal interface applications
Mohsin Ali Raza a,*, Aidan Westwood a, Andy Brown a, Nicole Hondow a, Chris Stirling b
a Institute for Materials Research, University of Leeds, Leeds LS2 9JT, UKb Morgan AM&T, Swansea SA6 8PP, UK
A R T I C L E I N F O
Article history:
Received 8 April 2011
Accepted 1 June 2011
Available online 6 June 2011
0008-6223/$ - see front matter � 2011 Elsevidoi:10.1016/j.carbon.2011.06.002
* Corresponding author:E-mail address: [email protected] (M.A
A B S T R A C T
Thermally conducting and highly compliant composites were developed by dispersing
graphite nanoplatelets (GNPs) into a silicone matrix by mechanical mixing. X-ray diffrac-
tion (XRD) indicates that the average thickness of the GNPs decreased from 60 to 35 nm dur-
ing mechanical mixing. XRD-texture analysis demonstrated that GNP/silicone composites
at 8 wt.% GNPs have a higher degree of basal plane alignment than at 20 wt.%. Differential
scanning calorimetry showed that GNPs raised the curing temperature of silicone with no
significant effect on the glass transition temperature. The thermal conductivity of the
20 wt.% composites reached 1.909 W/m.K, an 11-fold increase over silicone suggesting an
improved dispersion compared to similar composites prepared by dual asymmetric centri-
fuge mixing. The percolation threshold for electrical conductivity of the composites was at
�15 wt.%. The compressive modulus of the composite increased to twice that of silicone at
20 wt.%. The corresponding strength decreased by a factor of two compared to silicone and
this can be attributed to the weak bonding at the GNP-silicone interface. Overall, these
GNP/silicone composites, with a high thermal conductivity, low electrical conductivity
and compliant nature are promising materials for use as thermal pads for thick gap filling
thermal interface applications.
� 2011 Elsevier Ltd. All rights reserved.
1. Introduction
Graphite nanoplatelets (GNPs) are an emerging class of
nanomaterials that are gaining favour for many technological
applications such as conducting composites [1–4], electronics
[5], batteries, sensors, transparent conducting films, hydrogen
storage and supercapacitors [6–8]. GNPs offer an alternative to
carbon nanotubes due to their excellent physical and chemi-
cal properties and low cost [9,10]. GNPs have a platelet thick-
ness in the range of 0.35–100 nm [11]. ‘‘GNP’’ in the literature
refers to various forms of graphite such as exfoliated graphite,
expanded graphite or graphene [12]. Graphene is a single
er Ltd. All rights reserved. Raza).
layered GNP in which the carbon atoms are close-packed into
a two-dimensional hexagonal lattice [13].
GNP/polymer conducting composites have been devel-
oped by dispersing GNPs in both thermoplastics and in
thermosetting polymers for potential applications such as
electromagnetic interference shielding [14], barrier layers
[10], electrodes [15] and thermal interface applications
[3,16,17]. In particular, these composites are attractive for
thermal interface applications in electronics due to the high
thermal conductivity of GNPs. Several authors report high
thermal conductivities of GNP/polymer composites. Debalak
and Lafdi [2] report that a GNP/epoxy composite containing
.
4270 C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9
20 wt.% GNPs has a thermal conductivity of 4.3 W/m.K
which is a 19-fold increase over that of epoxy alone. Ganguli
et al. [3] report that GNPs increase the thermal conductivity
of GNP/epoxy composites by 19-fold (for GNPs with average
particle size of 3.9 lm and 100 nm thickness) from 0.2 W/
m.K (for the epoxy alone) to 4.2 W/m.K. In our previous work
[17], we proposed the use of GNP/silicone composites for
thermal interface applications due to their high thermal
conductivity, high electrical resistivity and highly compliant
nature. We reported that the thermal conductivity of a GNP/
silicone composite produced by a Flaktek dual asymmetric
centrifuge ‘‘Speed Mixer’’ (SM) reached 1.43 W/m.K at
20 wt.% loading of GNPs (of 15 lm particle size). This mea-
sured conductivity is comparable to commercially available
thermal interface materials but is achieved at 40 wt.% lower
loading of the filler compared to when more commonly used
commercial fillers such as BN, ZnO or AlN are used. Re-
cently, Kujawski et al. [15] were the first to suggest the use
of GNP/silicone composites for compliant electrodes due to
their high electrical conductivity and mechanical compli-
ance. However, similarly compliant composites with low
electrical conductivity would still be useful for thermal inter-
face applications particularly for thermal pads (for example,
they can be used between the heat spreader and heat sink).
In the present study, we report the curing behaviour, glass
transition temperature, transport and mechanical properties
of composites produced by conventional mechanical mixing
and compare these with previous results from composites
prepared using the SM process [17]. The results are also corre-
lated to the characterisation of the microstructures of the
GNPs and composites using electron microscopy and X-ray
diffraction.
2. Experimental
2.1. Materials used
Graphite nanoplatelets (GNPs) were purchased from XG Sci-
ences, Ltd. These were thin particles having a platelet mor-
phology with reported thicknesses in the range of 5–10 nm.
Platelets with a reported average width of 15 lm were used
in this study. The manufacturer also reported that the GNPs
contain up to 3 wt.% crystalline silica as an impurity.
Sylgard 184 Silicone Elastomer, purchased from Dow Corn-
ing, was employed as the silicone matrix material. The elasto-
mer is supplied as a two-part liquid component kit. These
parts are mixed at 10:1 by weight respectively to make a sili-
cone polymer matrix for the composites. Part A is comprised
of primarily vinyl end capped oligomeric dimethyl siloxane
and 10 units of this (by weight) are reacted, by catalytic
hydrosilation, with one unit of part B, which is comprised of
methylhydrosiloxane as the crosslinking agent and a plati-
num complex as a catalyst [18]. Further details regarding
the curing reaction can be found in [19].
2.2. Fabrication of composites
GNP/silicone composites were prepared by conventional
mechanical mixing (MM). ‘Bulk’ samples were prepared with
minimum dimensions of 40 · 25 · 10 mm3 from 40–50 g
batches by mixing the appropriate weight proportions of the
GNPs and silicone. All of the composite dispersions were pre-
pared at room temperature. GNPs were dried in an oven at
80 �C for 12 h to remove any moisture adsorbed on their sur-
face. The dried GNPs were then mixed in the appropriate
weights with the silicone base by using a conventional
mechanical mixer with a high-speed motor attached to a
shaft with a propeller (25 mm radius steep pitch with three
blades), rotated at a speed of 2500 rpm for 25 min. After mix-
ing the GNPs in the silicone base, the curing agent was added
and mixed for an additional 2 min at 1000 rpm. The batch was
then degassed under vacuum and poured into a custom made
aluminium mould. The filled mould was again degassed for
15 min to completely remove any trapped air. Composites
were prepared with a loading of 8, 15 and 20 wt.% GNP. It
was not feasible to load GNPs above 20 wt.% because the high
viscosity of the dispersion inhibited the movement of the stir-
rer. The temperature of the dispersions reached 75 �C during
mixing. Before addition of the curing agent the GNP/silicone
base dispersion was cooled down to about 5 �C. The GNP/sili-
cone was then cured at 95 �C for 60 min. A sample of unadul-
terated silicone was also produced by this mechanical mixing
(MM) method.
2.3. Characterisation
The curing behaviour and glass transition temperature (Tg) of
the GNP/silicone composites were investigated using a Perkin
Elmer DSC7 differential scanning calorimeter (DSC). A sample
of 8–10 mg was placed in aluminium crucibles for DSC mea-
surements. A dynamic scan was carried out from 40 to
200 �C at a heating rate of 10 �C/min in a nitrogen flow of
10 ml/min. To measure Tg, a �10 mg sample was placed in
an aluminium crucible and a dynamic scan was carried out
from 30 to �120 �C at a cooling rate of 10 �C/min in a nitrogen
flow of 10 ml/min.
The thermal conductivity of the silicone and GNP/silicone
composites was measured (in the direction parallel to direc-
tion of gravity in the original curing mould) by a hot disk ther-
mal constant analyser (Hot Disk� AB), which is a transient
plane source technique [20]. The sensor, which acts as both
a heat source and a temperature recorder, has a radius of
3.18 mm and was sandwiched between two pieces of sample.
For measurement, each piece of sample was cut to 8–10 mm
thickness, 20 mm · 20 mm area and left with flat surfaces so
that a good thermal contact could be made across the thick-
ness of the two pieces and the sandwiched sensor. The con-
ductivity measurements were made by applying a power of
0.1–0.2 W for between 10 and 80 s, depending on the thermal
conductivity of the sample.
For electrical conductivity measurement, cuboidal pieces
of the composites (�6 · 6 · 2 mm3) were placed between two
copper electrodes having dimensions slightly greater than
those of the sample. The electrodes were connected to a mul-
timeter (Agilent 34401A) which measured the resistance of
the sample using the two probe method.
To observe the effect of orientation of the GNPs in the
composites, the electrical conductivity was measured in three
orthogonal directions across the sample: rz is the measure-
Fig. 1 – Schematic illustration of the electrical conductivity
measurement system.
C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9 4271
ment in the same direction as the thermal conductivity mea-
surement and parallel to the direction of gravity in the origi-
nal curing moulds; rx and ry are the measurements in the
horizontal plane of the original curing mould as shown in
Fig. 1.
Compression testing of the silicone and its composites was
carried out on an Instron universal testing system (Model No.
3382 with a 100 kN load cell). Rectangular shaped samples
(�8 · 8 · 10 mm3) were compressed at a strain rate of
0.5 mm min�1. The compression tests were performed on
the samples so that compression occurred parallel to the
direction of gravity in the original curing moulds (z-direction
in Fig. 1). A typical compression test was carried out until the
sample fractured. In addition, samples of 20 wt.% GNP/sili-
cone produced previously by SM and EPM 2490 (commercial
silicone based adhesive, marketed by Nusil technology which
is filled with boron nitride particles at 65 wt.%) were tested for
comparison [17]. Hardness testing of the samples was done
using a Shore hardness tester (Zwick) and values measured
on scale A.
The as-received GNPs were prepared for powder X-ray dif-
fraction (XRD) by evaporating acetone-graphite suspensions
onto a single crystal silicon off-cut sample holder. The diffrac-
tion patterns were acquired by a Philips PW 1830 diffractom-
eter (Cu–Ka, 40 kV, 40 mA, 10–90� 2h, 0.02� step, 20 s step�1).
Samples of GNP/silicone composites were prepared by cutting
approximately cubic shapes from the bulk and fixing them to
a glass slide such that the sample axis parallel to the direction
of gravity in the original curing moulds (rz above) was normal
to the plane of the glass slide, which itself is at an angle h to
the incident X-rays during the experiment. Diffraction pat-
tern analysis such as background determination and peak
positions were carried out using Xpert high score plus soft-
ware. The instrumental broadening was measured from the
line profile of a standard silicon specimen using the same
experimental set-up. The average out of plane crystallite
thickness of the GNPs (T) was estimated using the (0 0 0 2)
FWHM 2h values and the Scherrer equation: T = Kk/bCosh,
where b is the line breadth (FWHM) in radians with the instru-
mental broadening subtracted, k is the X-ray wavelength, and
the coefficient K taken to be 0.89 and h is the diffraction angle
of the peak of interest [21]. The X-ray texture scans were
obtained in a Philips texture goniometer (PW 3040/60
diffractometer) using CuKa radiation with a Schulz reflec-
tion-specimen holder, in which the source and detector were
positioned at the fixed 2h Bragg angle for reflection from the
(0 0 0 2) planes. The 2h values for the different samples were
determined in separate Bragg scans. The sample was rotated
around the A axis at a speed of 72�/min. The sample was tilted
by 5� with respect to the w axis for every revolution around A.
The cycle of rotation around the A axis was continued up to a
w value of 85�. The data are plotted as pole figures and pre-
sented in terms of contours of intensity of reflections from
the (0 0 0 2) graphite planes.
Transmission electron microscopy (TEM) was conducted to
assess the range of thicknesses of the GNPs on two micro-
scopes; an FEI CM200 field emission gun (FEG-)TEM operating
at 197 keV, equipped with an Oxford Instruments energy dis-
persive X-ray (EDX) spectrometer and a Gatan Imaging Filter
and an FEI Tecnai TF20 microscope operating at 200 keV,
equipped with a Gatan Orius SC1000 digital camera running
Digital MicrographTM software including the tomography
package. The tilt series were collected through a tilt range
of approximately �45� to +45� with an image recorded every
degree. Samples were prepared by dispersing in methanol
and then drop-casting onto a holey carbon coated copper
TEM grid (Agar Scientific Ltd).
Fracture surfaces of the composites were observed using a
LEO 1530 field emission gun scanning electron microscope
(FEG-SEM). The secondary electron images were obtained
using the in-lens detector at an operating voltage of 3 kV with
a working distance of 3 mm. Samples were prepared by cool-
ing strips of the composites in liquid nitrogen and then brit-
tle-fracturing them. The fractured surface of the sample
was sputter coated with a 5 nm layer of Pt/Pd alloy prior to
SEM analysis. All of the samples studied by SEM were frac-
tured so that a surface roughly parallel to the direction of
gravity during moulding was exposed for the analysis.
3. Results and discussion
3.1. Characterisation of the as-received graphitenanoplatelets (GNPs)
3.1.1. Particle sizeA representative SEM image of the as-received GNPs and the
histogram showing the platelet size distribution are pre-
sented in Fig. 2. On the basis of SEM analysis, it was found
that the GNPs have average lateral width of 15 lm (with a
standard deviation of 6 lm). The histogram clearly shows that
the majority of platelets have widths between 10 and 20 lm.
3.1.2. Thickness measurement of the edges of GNPs usingTEMThe exfoliation of intercalated graphite produces GNPs with a
wide range of thicknesses [22]. It is of value to measure the
range of thicknesses of the GNPs since for a given wt.% load-
ing in a composite thinner GNPs would give better dispersion
and so better transport properties. Hence, the quality of GNPs
as fillers might to some extent be evaluated from the average
and distribution of thicknesses of the GNPs.
Previously researchers have mainly used atomic force
microscopy (AFM) to measure the thicknesses of GNPs by
Fig. 2 – (a) SEM image of as-received GNPs. (b) Histogram showing the platelet size distribution to be centred around 15 lm.
4272 C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9
measuring GNP height relative to that of the substrate [23].
This requires the uniform deposition of individual GNPs onto
the substrate (mica or silicon wafer), which is not always pos-
sible due to overlapping sheets that are physically adhered to
one another via Van der Waals forces.
In the present work a series of TEM images were recorded
at different tilts on the as-received GNPs in order to measure
thicknesses at the platelet edge. In the TEM, under normal
imaging conditions most of the drop-cast GNPs appear to be
lying flat (Fig. 3a). As the stage tilt angle is varied from �40�to +40� (Fig. 3a–e) the folded edge of a GNP is revealed
(Fig. 3d and e). Such tilting was used to find a GNP that could
be oriented precisely edge-onto the electron beam: the ‘‘opti-
mum tilt’’ at which the edge-thickness is maximised gives the
true thickness of the edge of the sheet. For the GNP in Fig. 3
Fig. 3 – Bright field TEM images of the as-received GNPs. (a–e) Ex
(b) �20� (c) 0� (d) +20� and (e) +40�. (f) Image of the platelet edge e
platelet indicated. (g) Image of another platelet, with thicknesse
the thickest edge cross-section was seen at a tilt angle of
�2� and the edge is folded up with respect to the bulk of the
platelet (Fig. 3f). The thickness of the edge of this platelet var-
ied from �5 to �10 nm. A cross-sectional image of the edge of
another GNP in Fig. 3g shows it to be folded and its thickness
varies from �13 to �25 nm. The variation in the diffraction
contrast across the GNP as the tilt angle changes (visible in
the tilt series movies, see supplementary information,
Appendix A.) suggests that the GNP is not a perfectly flat
plate. Thus, tilt series imaging of GNPs in the TEM reveals that
the GNPs used in the present work have wrinkled topography
and some have folded edges.
Optimum tilt TEM images of the unfolded edges of several
GNPs show these to have thicknesses in the range 15–34 nm
(Fig. 4). Direct confirmation that the (0 0 0 2) plane stacking
cerpts of a platelet tilt series at specific tilt angles of: (a) �40�ndon to the beam (�2� tilt), with thickness of the edge of the
s of the edge of the platelet indicated.
Fig. 4 – (a–f) Optimum tilt angle TEM images of several as-received GNPs revealing the thicknesses at the edge of the platelets
to be in the range of 19–34 nm. (g) TEM image of silica particle (right) next to GNP (left), with EDX spectrum from silica particle
inset. (h) TEM image of contaminant nano-particles on the surface of a GNP. An EDX spectrum of the area is shown inset and
indicates the contaminant to be an iron oxide, probably remnant catalyst particles. The copper signal is due to the TEM
support grid.
Fig. 5 – XRD patterns of the as-received GNPs and the GNP/
silicone composites with 8–20 wt.% GNPs produced by the
mechanical mixing (MM) process. For comparison the XRD
pattern of GNP/silicone composite produced by speed
mixing (SM) is also presented. (*Corresponds to SiO2
impurity).
C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9 4273
edges of the GNPs are parallel to the edges of the platelets is
seen in the TEM lattice image of the edges (Fig. 4c and d in
particular). The crystalline silica particles, present as impuri-
ties in the GNPs, are observed to be large (lm in width) and
distinct from the GNPs i.e., are not attached to the surface
of the GNPs (Fig. 4g). Iron oxide particles (remnants of the
intercalation process used to manufacture GNPs) can be iden-
tified still attached to the surface of the GNPs (Figs. 3 and 4)
and their presence is confirmed by the point EDX spectrum
from the particles on the GNP shown in Fig. 4h.
Specimen tilting in the TEM thus proves to be a quick
method for estimating the thicknesses of GNPs. This method
is also useful to observe the morphology of GNPs.
3.2. X-ray diffraction (XRD)
XRD patterns of the as received GNPs and the composites are
presented in Fig. 5. All peaks can be indexed to graphite and
the dominance of the 0 0 0 2 peak indicates the basal plane
alignment of the GNPs during the curing/settling process.
The peak at 28.27� in the XRD pattern of the as-received GNPs
is due to the presence of some SiO2 impurity. No iron oxide
impurity was detected by XRD and therefore we assume its
content (as identified by TEM) to be less than a few percent.
The mean thicknesses of the as-received and processed
GNPs can be measured from the broadening of the (0 0 0 2)
peak and are presented in Table 1.
The average thickness of the as-received GNPs was found
to be �62 nm. This is significantly higher than that deter-
mined by TEM analysis. This may be because XRD gives an
average estimation of thickness across the full width of many
Table 1 – Thicknesses of GNPs determined from XRD peak/line-broadening analysis.
Samples 0 0 0 2 dspacing (�A)
AveragethicknessGNPs (nm)
Standarddeviation*
(nm)
GNPs (as received) 3.37 62 18 wt.% GNP/silicone by MM 3.35 49 615 wt.% GNP/silicone by MM 3.35 39 1420 wt.% GNP/silicone by MM 3.35 36 320 wt.% GNP/silicone by SM 3.35 47 2
* Standard deviation is obtained by testing at least three specimens of each sample.
4274 C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9
platelets, whereas TEM analysis was carried out on only a few
platelets (�10 in the present work) and only at the edge of the
platelets. Also the GNPs observed by TEM were smaller than
5 lm across and it may be that these smaller plates are thin-
ner than the larger platelets which comprise a large volume
proportion of the GNPs measured by XRD (Fig. 2b).
The average thicknesses of GNPs measured from XRD
analysis of the 15 and 20 wt.% GNP/silicone composites
had decreased to 39 and 36 nm, respectively. This is signifi-
cantly lower than the as-received GNPs and this result
showed that the MM caused a shearing of GNPs resulting
in the dispersion of thinner GNPs. It might be that the ob-
served high viscosity of the 20 wt.% GNP composite also
made the shearing process more intense and this effect con-
tributed to the decrease in the average platelet thickness
with increased GNPs loadings.
The average thickness of GNPs measured from the XRD
analysis of a 20 wt.% GNP/silicone composite produced by
SM (our previous work; [17]) was 47 nm. This is significantly
higher than the average thickness measured for the 20 wt.%
GNPs composite produced by MM, indicating that SM pro-
duces less shearing of GNPs than MM.
The pole figures obtained from XRD texture analysis of the
GNP/silicone composites prepared by MM are presented in
Fig. 6. The composite consisting of 8 wt.% GNPs has highly ori-
ented basal planes with a high abundance of (0 0 0 2) planes
oriented at low w values (0–5�) i.e., the GNPs have oriented in
the mould so that the plates lie flat and the [0 0 0 2] is parallel
to the direction of gravity (Fig. 6a). The high degree of orienta-
tion of this composite is attributed to the low viscosity of the
Fig. 6 – Pole figures of the: (a) 8 wt.% GNP/silicone and (b) 20 wt
preferred [0 0 0 2] texture normal to the specimen surface.
GNP/silicone dispersion at 8 wt.%, which allows the GNPs to
easily settle parallel to the bottom surface of the mould during
curing. In the case of the 20 wt.% GNPs, the orientation of
(0 0 0 2) planes is spread over w values between 0–40� (Fig. 6b).
This suggests that mutual hindrance by the GNPs and the high-
er viscosity of the 20 wt.% composite pre-mix also limits orien-
tation (as well as increasing the amount of GNP shearing). The
texture measurements highlight how readily GNP/silicone
composites form with a preferred orientation of the GNPs.
3.3. Differential scanning calorimetry (DSC)
DSC scans of silicone and GNP/silicone dispersions at 20 wt.%
loading are presented in Fig. 7. The increase in temperature of
the curing exotherm and the more gradual curing of the sili-
cone in the case of the composite show that the GNPs hinder
the process of curing. The curing temperature of the silicone
rises from 92 to 132 �C. The degree of hindrance to the curing
reaction depends on the filler dispersion and it is possible to
predict a filler’s dispersion quality from DSC scans [24]. The
better the dispersion, the more severe is the hindrance since
increased interface area between the GNPs and the silicone
decreases the mobility of the silicone polymer chains. In our
previous work on the GNP/silicone composites produced by
SM, we reported that 20 wt.% loading increased the curing
temperature of silicone from 92 to 116 �C and so the current
DSC scans suggest that the dispersion quality of the GNPs
in the composite produced by MM is better.
For MM, there was no significant change observed in Tg of
pure silicone and silicone with 15 and 20 wt.% loading of
.% GNP/silicone composites prepared by MM both, showing
Fig. 8 – DSC cooling profiles for silicone and the GNP/silicone
composites for determination of Tg (Tg was determined from
the inflection point of the cooling curves and does not
change with loading of GNPs, Table 2).
Fig. 7 – DSC heating profiles of neat silicone and 20 wt.%
GNP/silicone dispersions produced by MM showing that the
exothermal curing process occurs at higher temperature
with addition of GNPs.
C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9 4275
GNPs (Fig. 8 and Table 2). The glass transition temperature of
polymer composites depends on the free volume of the poly-
mer, which is affected by the amount of interaction between
the polymer and filler particles [24]. Several studies on GNP/
polymer composites [3,25] report an increase of Tg with
increasing content of GNPs. This suggests that in this case
Table 2 – Glass transition temperatures of silicone and GNP/silicone composites (the Tg of silicone is reported to be at114.6 �C by Xu et al. [24]).
Material Tg (�C) *Standarddeviation (�C)
Silicone �114 115 GNP/silicone �112 120 GNP/silicone �113 1
* Standard deviation is obtained by testing 2–3 specimens of each
sample.
however, the GNPs do not chemically interact with the
silicone.
3.4. Morphology of the composites
SEM images of the GNP/silicone composite at 8 and 20 wt.%
loading of GNPs are shown in Fig. 9a and b and c–f, respec-
tively. The SEM images of the 8 wt.% GNPs composite
(Fig. 9a and b) show that the GNPs are quite well dispersed
and the fracture surface is reasonably smooth. By contrast,
the low magnification images of the 20 wt.% GNPs composite
(Fig. 9c and d) shows a much rougher fracture surface indicat-
ing pull-out of GNPs upon loading. The edges of some GNPs
can be clearly identified in the images. The high magnifica-
tion images of 20 wt.% GNPs composite (Fig. 9e and f) show
that the GNPs are well dispersed in the silicone matrix with
individual GNPs separated by some silicone matrix. However,
there are many GNPs interconnecting with one another,
which is essential for the formation of conducting networks.
Crude estimates from SEM images (Fig. 9e and f) suggest that
the GNPs have thicknesses �20–40 nm in these composites.
It was observed in the SEM images of GNP/silicone pro-
duced by SM (our previous work [17]) that the gaps between
the GNPs were larger than in the composites produced here
by MM. This suggests again that the higher-shear mixing by
MM (cf. SM) results in thinner GNPs and that this should lead
to more efficient conducting networks at equivalent loadings.
3.5. Thermal conductivity
A plot of the thermal conductivity of the GNP/silicone com-
posites produced by MM as a function of wt.% of GNPs (and
measured in the direction parallel to gravity during the curing
in the mould i.e., z direction as shown in Fig. 1) is presented in
Fig. 10. For comparison, the thermal conductivity data from
the previous work for the GNP/silicone composites produced
by speed mixer (SM) are also presented in Fig. 10 [17]. The
thermal conductivities of the GNP/silicone composites in-
crease with increasing content of GNPs. The thermal conduc-
tivities of the composites produced by MM are higher with
smaller standard deviations than the composites produced
by SM at large loadings. This can be attributed to the more
uniform dispersion of the GNPs in the silicone by MM than
by SM.
The thermal conductivity of GNP/silicone composite at
20 wt.% loading of GNPs reached 1.909 W/m.K, which repre-
sents an �11-fold increase over pure silicone (0.175 W/m.K).
This is 35% higher than the equivalent composite produced
by SM. This significant improvement is attributed to the
thinner GNPs in the composite produced by MM compared
to the composite produced by SM as observed by the XRD
analysis (Fig. 5 and Table 1). Thinner GNPs means more parti-
cles for a given wt.% loading and this results in more efficient
conducting networks within the matrix, leading to the im-
proved thermal conductivity of the composites.
3.6. Electrical conductivity
Unlike thermal conductivity, electrical conductivity is gener-
ally an undesirable property in thermal interface materials
Fig. 9 – SEM images of the fracture surfaces of: (a and b) 8 wt.% GNP/silicone composite and (c–f) 20 wt.% GNP/silicone
composite showing the GNPs in the silicone matrix. Increased GNP pull-out is evident in the 20 wt.% composite. Arrows point
towards some of the GNPs in the matrix.
Fig. 10 – Thermal conductivities (measured in the settling
direction) of GNP/silicone composites produced by MM and
SM rise as a function of wt.% of GNPs. *Refers to our previous
work [17].
Fig. 11 – Electrical conductivities of the GNP/silicone
composites measured in different directions on the
specimen as a function of wt.% of GNPs showing significant
increase in electrical conductivity as GNPs content increases
from 15 to 20 wt.%.
4276 C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9
for electronics, although high electrical conductivity can be
tolerated in some of these applications. The electrical con-
ductivity of the GNP/silicone composites produced by MM
measured in different directions on the samples (as shown
in Fig. 1) as a function of wt.% of GNPs is presented in
Fig. 11. The GNP/silicone composite at 8 wt.% loading of GNPs
was highly insulating and its exact value was not determined
as the metre used only has a measurable range up to 100 MO.
The SEM images of this composite showed that GNPs were
separated by thick layers of silicone. The GNP/silicone
composite at 15 wt.% was also highly insulating but with
the electrical conductivity slightly higher than the percolation
threshold (defined as the filler content to achieve an electrical
conductivity P 10�6 S.m�1 [26]). The electrical conductivity
above this percolation threshold of �15 wt.% GNPs increases
abruptly reaching 0.360 S.m�1 for the composite produced
with 20 wt.% GNPs. This could be due to the presence of an
increased contact between GNPs or of gaps of only a few
nanometres between GNPs that allow the electrons to tunnel
through the insulating matrix (Fig. 9).
To see the effect of orientation of GNPs in the silicone, the
electrical conductivity of GNP/silicone composite was
Fig. 12 – Compression stress–strain curves of neat silicone,
GNP/silicone composites produced by MM and EPM 2490.*Refers to composite produced by SM [17].
C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9 4277
measured in three orthogonal directions on the samples
(Fig. 11). The GNP/silicone composite at 15 wt.% loading has
an order of magnitude higher electrical conductivity in the x
and y directions compared to the z direction, confirming the
alignment of basal planes of the GNPs in the x–y plane of
the sample as determined by XRD (Fig. 6). On the other hand,
the composite with 20 wt.% loading of GNPs has only a
slightly higher electrical conductivity in the x and y directions
compared to the z direction, consistent with the spread in
textural alignment seen in XRD (Fig. 6b).
Compared to our previous work [17] in which the mea-
sured electrical conductivity for 20 wt.% GNP/silicone com-
posite made via SM was only 1.7 · 10�4 S.m�1, the much
higher corresponding electrical conductivity here (0.360
S.m�1) can be attributed to the better dispersion of GNPs in
the silicone achieved by MM. The percolation threshold of
the current GNP/silicone composites (at 15 wt.%) is however
significantly higher than the 3 wt.% reported by Kujawski
et al. [15]. These authors also reported electrical conductivity
that was five orders of magnitude higher for a 15 wt.% GNP/
silicone composite compared to the present work. The differ-
ence in results could be because Kujawski et al. used a differ-
ent fabrication technique, a �50% lower proportion of curing
agent and a different source of exfoliated graphite. They pro-
duced exfoliated GNPs by microwave irradiation using nitro-
gen and hydrogen as the forming gas. They have reported the
average platelet size to lie in the range of 5–20 lm and a
thickness in the range 20–200 nm, i.e., potentially smaller
and as thin as the GNPs used here. Since their exfoliation
process was carried out in hydrogen, this may reduce oxide
groups on the surface of the GNPs and possibly result in few-
er functional groups than on the GNPs produced by XG Sci-
ences; the presence of a large amount of hydroxyl and
epoxide on the basal planes of GNPs or carboxylic groups
on the edges of GNPs has been reported to reduce electrical
conductivity [1,27,28]. However, the most important differ-
ence between the present work and Kujawski et al. [15] might
be the composite fabrication technique. They prepared com-
posites by mixing silicone in hexane solvent followed by
ultrasonication. It is well known that the solvent mixing
method allows the fillers to develop percolating networks at
relatively low loadings, by reducing the viscosity of the poly-
mer [29,30]. High viscosity of the GNP/silicone dispersions
may be a limiting factor in achieving uniform dispersions
of GNPs by the MM or SM method and as such, the relatively
high percolation value reported here may indicate some
inadequate mixing. Ultimately though, the composite fabri-
cation method used in this work (MM) is simpler and more
environmentally friendly since no solvents are used.
3.7. Compression and hardness testing
The compression stress–strain curves of silicone and GNP/sil-
icone composites (at 15 and 20 wt.% loading) are presented in
Fig. 12. For comparison, the compression stress–strain curves
of the GNP/silicone composite at 20 wt.% loading of GNPs pro-
duced by SM [17] and commercial TIM EPM 2490 are also pre-
sented in Fig. 12. The compression properties and Shore
hardness values of silicone and the composites are presented
in Table 3.
It can be observed from Table 3 and Fig. 12 that the com-
pressive moduli of GNP/silicone composites made via MM in-
crease with increasing content of GNPs. The compressive
modulus of the composites increased by 1.65· and 2· that
of silicone at loadings of 15 and 20 wt.% GNPs, respectively,
as would be expected. The modulus of the 20 wt.% GNP/sili-
cone composite prepared by MM is 1.5· higher than that pre-
pared by SM (Table 3) again suggesting an improved
dispersion of GNPs with the associated potential for
improved reinforcement. There is however a significant de-
crease in compressive strength (at failure) in the composites
compared to that of silicone. Debalak and Lafdi [2] have also
observed a similar effect in GNP/epoxy composites: they
attributed this decrease in strength (at loading >4 wt.%) to
poor interaction between the GNPs and the epoxy (i.e.,
debonding at the platelet-matrix interface) and to easy
shear and glide of the graphite 0 0 0 2 layers. The Shore hard-
ness values of the GNP/silicone composites are slightly
increased with the addition of GNPs as would be expected
(Table 3).
Although the GNP/silicone composites produced by MM
have slightly higher modulus than the silicone, this is still
1.5 times lower than a commercial BN/silicone composite
(EPM 2490) as shown in Fig. 12 and Table 3. These compressive
properties and Shore hardness values demonstrate that the
GNP/silicone composites are highly compliant materials.
4. Conclusions
Commercial GNPs were used to fabricate GNP/silicone com-
posites. The GNPs were measured to have a platelet width
of �15 lm (by SEM) and a thickness of �60 nm (measured
by (0 0 0 2) line-broadening in XRD). They were shown to
have a wrinkled morphology and folded edges by tilting in
the TEM and the observed thickness at the edge of the plate-
lets was 5–35 nm. XRD analysis was found useful in assess-
ing the shearing effect of the GNPs by the mechanical
mixing process technique; the average platelet thickness de-
creases from 62 to 36 nm after mixing. This is compared to a
Table 3 – Compression and hardness properties of neat silicone and GNP/silicone composites.
Material Fabricationmethod
Compressivemodulus(at 20% strain)(MPa)
Compressivestrengthat failure(MPa)
Compressive strainat failure (%)
Shore hardness(scale A)
Silicone MM 6.18 ± 0.53 41.47 ± 6 62.51 ± 1.44 53.0 ± 1.015 wt.% GNP/silicone MM 10.2 ± 0.33 19.58 ± 2.59 66.3 ± 2.26 58 ± 1.220 wt.% GNP/silicone MM 12.2 ± 1.11 17.34 ± 2.2 66.12 ± 1.47 60.8 ± 2.120 wt.% GNP/silicone [17] SM 7.98 ± 0.54 18.46 ± 1.91 69.69 ± 1.36 54.6 ± 1.2EPM 2490 – 18.72 ± 3.92 7.5 ± 1.4 51.61 ± 2.86 81.2 ± 2.14
4278 C A R B O N 4 9 ( 2 0 1 1 ) 4 2 6 9 – 4 2 7 9
drop in thickness to only 47 nm via SM [17]. The composite
produced with 8 wt.% of GNPs was shown (by XRD textural
analysis) to have strong alignment of the basal planes of
the GNPs caused by their settling parallel to the bottom
plane of the composite moulds. This alignment was less pro-
nounced at 20 wt.% loading due to the increased mutual hin-
drance between GNPs and to their effect on increasing the
viscosity of the mixture. DSC curing scans showed that at
20 wt.% GNPs the silicone cured more gradually and the cur-
ing temperature increased to 132 �C, suggesting some inter-
action of the GNPs with the silicone polymer chains.
However, addition of GNPs produced no significant effect
on the glass transition temperature of the silicone suggest-
ing no strong chemical interaction.
The thermal conductivities of GNP/silicone composites
produced by mechanical mixing reached 1.909 W/m.K at
20 wt.% loading. This represents an 11-fold increase over that
of silicone (0.1795 W/m.K) and is a 35% increase cf. similar
composites prepared by SM [17]. The high thermal conductiv-
ity reported in the present work is believed to be achieved by
the excellent dispersion and thinning of GNPs produced by
mechanical mixing. The GNP/silicone composites were elec-
trically insulating at loadings below 15 wt.%. The electrical
conductivity of the GNP/silicone composite at 20 wt.% loading
reached 0.360 S.m�1 compared to 8.33 · 10�13 S.m�1 for sili-
cone. Compression testing showed that the addition of GNPs
increased the modulus of silicone by a factor of up to two.
However, it decreased the compressive strength by a factor
of two which might indicate weak bonding between the GNPs
and silicone. Shore hardness of the silicone did not change
much with the addition of GNPs.
The GNP/silicone composite at 20 wt.% loading of GNPs
produced by MM with its high thermal conductivity, relatively
low electrical conductivity and compliant nature makes it a
promising material to be used for thick gap filling thermal
interface applications.
Acknowledgements
The authors thank Morgan AM&T and EPSRC for funding
M.A.R.’s Dorothy Hodgkin Postgraduate Award Scholarship
and A.P.B.’s Advanced Research Fellowship (EP/H008578/1).
Appendix A. Supplementary data
Supplementary data associated with this article can be found,
in the online version, at doi:10.1016/j.carbon.2011.06.002.
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