The thermal material properties are modeled by the tensors of the thermoelectric power
for electrons and holes, the heat capacity , and the tensor of the
thermal conductivity
. To date no measured data about the tensors of
the thermoelectric power
are available for SiC. Hence, corresponding values measured
for Si have to be used [143,144].
The measured data which are
available for the heat capacity of -SiC [145] can be adapted
to (3.98). The model evaluates the specific heat capacity for the transient
simulation with self-heating.
(3.98)
The fitting parameters A, B, C and D are summarized in
Table 3.7.
Similarly, published experimental data of the
thermal conductivity available for -SiC [146,147] can be adapted
to the model
(3.99)
The constants A, B and C are listed in Table 3.7 and
Fig. 3.12 illustrates the influence of the temperature on the heat capacity
and the thermal conductivity in -SiC. Furthermore, the anisotropic ratio of 6H-SiC has
been experimentally determined to
[146] independent of the temperature and the doping
concentration.
Table 3.7:
Model parameters for the heat capacity and the thermal conductivity in
-SiC.
A[JkgK]
B[JkgK]
C
[JkgK]
D
[JkgK]
c
1026
0.201
0
-3.6610
A
[mKW]
B
[mW]
C
[mKW]
2.510
2.750
10
1.310
Figure 3.12:
Influence of temperature on heat capacity and thermal conductivity in -SiC.
For the purpose of device simulation the thermal conductivity is often modeled by a power
law expression given by
(3.100)
where
W/mK is the value for the thermal conductivity at
for
-SiC, and
is a fitting parameter.
The lattice thermal flux density
between two boxes and its derivatives with respect to the input quantities, which are the temperatures
and , are calculated by