
Modeling of Microwave Drying Process 83
Model Constants Thickness = 3(mm)
Diameter = 20(mm)
Thickness = 10(mm)
Diameter = 20(mm)
Thickness = 3(mm)
Diameter = 40(mm)
Wang and
Singh
a
b
2
R
RMSE
SSE
–.04384
.0003609
.9945
.01533
.003594
–.1592
.006437
.8605
.09919
.1574
–.1496
.006162
.9487
.06303
.05958
Midilli
a
k
n
b
2
R
RMSE
SSE
1.002
.09927
.7863
–.1253
.999
.007165
.0006673
1.002
–.3847
.7232
–.0004
.9983
.01183
.001959
1.017
–.2404
.9624
.005363
.9934
.02429
.00767
From this result the model with minimum of
ave
RMSE
and
ave
SSE
is the best model
for curve fi tting of data sets. Two term model (
)exp()exp(
21
tkbtka +
) is the best. Then
Midilli model (
exp( )
n
aktbt+
) Figure 3, and logarithmic model ( ...