Optimizing WEDM Parameters on Nano-SiC-Gr Reinforced Aluminum Composites Using RSM
Table 4
ANOVA results for the response of kerf width.
Source
Sum of squares
Df
Mean square
F value
p value
Model
0.0022
14
0.0002
26.33
<0.0001
Significant
A-Ton
0.0001
1
0.0001
21.51
0.0003
B-Toff
0.0002
1
0.0002
32.58
<0.0001
C-IP
0.0002
1
0.0002
31.23
<0.0001
D-SV
0.0001
1
0.0001
16.35
0.0009
Ton vs Toff
0.0000
1
0.0000
2.71
0.1189
Ton vs IP
0.0002
1
0.0002
30.92
<0.0001
Ton vs SV
0.0007
1
0.0007
123.69
<0.0001
Toff vs IP
6.250E-06
1
6.250E-06
1.06
0.3184
Toff vs SV
0.0005
1
0.0005
78.43
<0.0001
IP vs SV
0.0001
1
0.0001
9.54
0.0070
Ton2
0.0000
1
0.0000
4.10
0.0598
Toff2
4.413E-06
1
4.413E-06
0.7488
0.3996
IP2
0.0001
1
0.0001
11.58
0.0036
SV2
0.0000
1
0.0000
5.95
0.0268
Residual
0.0001
16
5.894E-06
Lack of fit
0.0001
10
5.058E-06
0.6943
0.7095
Not significant
Pure error
0.0000
6
7.286E-06
Correlation total
0.0023
30
The F value helps to identify the contribution of particular process input in developing response of kerf width (Kw). The p value helps to identify the significance of a particular variable or combination of variables in the response of kerf width. If p value less than 0.05 for a particular variable or combination of variables, then it is considered sensitive in producing a response of kerf width. If a p value greater than or equal to 0.1 meant insignificant that is no sensitiveness in producing a response of kerf width.
