2. volac͒, curing agent ͑Phenol-Novolac͒ and catalyst ͑triph-
enylphosphine͒ with a weight ratio of 60:40:0.5 were dis-
solved in acetone and then mixed with each of the AlN fillers
͑0–47 vol %͒ by using a centrifugal mix-defoaming machine
͑AR-250, THINKY Co., Japan͒ to form a homogeneous
slurry. Then the slurry was dried in a vacuum oven at 80 °C
and ground to pass through a 50-mesh sieve. Finally, the
powder mixture was cured at 180 °C for 2 h under a pres-
sure of 10 MPa to obtain the composites.
The thermal conductivities of the composites were cal-
culated by equation =␣·Cp·, where ␣, Cp, and are the
thermal diffusivity, specific heat, and density of the compos-
ites. ␣ of the composites was measured by laser flash method
͑TC-7000, Sinku-Riko, Japan͒. was calculated by the den-
sity of AlN of 3.26 g cm−3
and the measured density of the
polymer matrix ͑1.31 g cm−3
͒. Cp was determined by the
specific heat of AlN of 0.74 J g−1
K−1
and the measured spe-
cific heat of the polymer matrix ͑1.27 J g−1
K−1
͒.
Figure 2 shows the thermal conductivity as a function of
the volume fraction of different AlN fillers. The thermal con-
ductivities increase with the filler content. For the compos-
ites filled with 47 vol % ͑70 wt %͒ of BP40 and BP80, the
thermal conductivities are 3.3 and 4.2 W m−1
K−1
, respec-
tively. These are 1.8–2.3 times higher than that of the poly-
mer composite filled with the same content of EP. In addi-
tion, the measured thermal conductivity of the polymer
composite filled with the different content of EP is matched
with the predicted value by the Bruggeman model,16
which
was thought to be the Bruggeman model was based on
spherical particles suspended in a diluent matrix, similar in
this composite. The Bruggeman model can be given by
1 − Vf =
͑f − ͒͑m/͒1/3
f − m
, ͑1͒
where , f, m and Vf represent thermal conductivities of
the composite, filler, matrix, and volume fraction of the filler
in the composite, respectively. The value of 200 and
0.25 W m−1
K−1
were used for f and m, respectively.
Remarkably, the thermal conductivities of the composite
filled with BP40 and BP80 are much higher than the predic-
tion of Bruggeman equation. This demonstrates that the
brushlike AlN particles enhance the thermal conductivity of
the polymer matrix significantly. The intrinsic reason can be
explored by Agari model,17
which considers the effect of
dispersion state by introducing factors C1 and C2:
log = VfC2 log f + ͑1 − Vf͒log͑C1m͒, ͑2͒
where , m, f, and Vf are defined as same as before, C1 is
a factor relating to the effect of the filler on the secondary
structure of the polymer, and C2 is a factor relating to the
ease in forming conductive chains of the filler. The values of
C1 and C2 should be between 0 and 1, the closer C2 values
are to 1, the more easily conductive chains are formed in
composite. So, if the dispersion system is different, the ther-
mal conductivity of the composites may be different even if
the components in the composites are the same. Through
data fitting, C1 and C2 for the composites containing 47
vol % of the three different types of AlN fillers are obtained
and shown in Table II. The AlN fillers with different aspect
ratio of 3D brushlike particles affect the C2 values more than
the C1 values. This indicates that brushlike particles do not
change the secondary structure of the polymer significantly.
FIG. 1. ͑Color online͒ ͓͑a͒–͑c͔͒ SEM images for the three types of AlN fillers such as EP, BP40, and BP80. ͑d͒ TEM image of a typical 3D brushlike AlN
nanowhiskers particle and corresponding SAED pattern ͑inset͒.
TABLE I. The properties of three fillers.
Items
AlN fillers
EP BP40 BP80
Specific surface area/m2
g−1
2.60 2.58 3.11
Oxygen content /mass% 0.85 1.14 1.26
Brushlike particles in the AlN fillers /vol % 0 40 80 FIG. 2. ͑Color online͒ Thermal conductivity of polymer/AlN composites as
a function of filler content.
224104-2 Shi et al. Appl. Phys. Lett. 95, 224104 ͑2009͒
Downloaded 03 Dec 2009 to 117.32.153.178. Redistribution subject to AIP license or copyright; see http://apl.aip.org/apl/copyright.jsp
3. However, the C2 value increases with the aspect ratio of
brushlike particles, which means the formation of thermal
conductivity paths in the composites strongly enhanced by
3D brushlike AlN particles. This result can also be approved
by their scanning electron microscopy ͑SEM͒ images ͑Fig.
3͒. In the case of the composites filled with EP, each particle
could be insulated easily, which prevents the formation of
thermal conductivity paths. However, with 3D brushlike par-
ticles filled in and increase of their aspect ratio, the thermal
conductivity paths can be formed and enhanced significantly.
In conclusion, the thermal conductivity of the polymer
composites was successfully enhanced by filling 3D brush-
like AlN nanowhiskers fillers obtained from the economical
combustion synthesis route. Through loading 47 vol % of
AlN fillers contained 80 vol % of the 3D brushlike particles,
the thermal conductivity of the composite was strongly in-
creased to 4.2 W m−1
K−1
, which was 2.3 times higher than
that of the composite filled with same content of commercial
AlN equiaxed particles. The results demonstrate that the 3D
brushlike AlN fillers are effective for packaging materials
with high thermal conductivity.
Z.S. would like to thank China Scholarship Council for
financial support during his stay at Osaka University for car-
rying out this research work ͑CSC No. ͓2007͔ 3020͒.
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TABLE II. C1 and C2 of Agari model for the composites containing 47
vol % of different types of AlN fillers.
Filler type C1 C2
Thermal conductivity
͑W m−1
K−1
͒
EP 1.046 0.540 1.8
BP40 1.012 0.797 3.3
BP80 1.004 0.889 4.2
FIG. 3. ͑Color online͒ SEM images and corresponding schematic morpholo-
gies of the polymer/AlN composites filled with 47 vol % of ͑a͒ EP, ͑b͒
BP40, and ͑c͒ BP80 fillers.
224104-3 Shi et al. Appl. Phys. Lett. 95, 224104 ͑2009͒
Downloaded 03 Dec 2009 to 117.32.153.178. Redistribution subject to AIP license or copyright; see http://apl.aip.org/apl/copyright.jsp