Table 3 Design of experiment inputs and its response.

From: Image-processing-based model for surface roughness evaluation in titanium based alloys using dual tree complex wavelet transform and radial basis function neural networks

Exp. no.

Speed (m/min)

Feed (mm/rev)

DOC (mm)

Measured Ra (µm)

1

150

0.15

0.8

0.8337

2

150

0.20

0.8

1.3688

3

150

0.25

0.8

1.2584

4

175

0.15

0.8

0.5510

5

175

0.20

0.8

0.7025

6

175

0.25

0.8

0.9282

7

200

0.15

0.8

0.4703

8

200

0.20

0.8

1.3688

9

200

0.25

0.8

0.8172

10

150

0.15

1.0

0.6332

11

150

0.20

1.0

0.6407

12

150

0.25

1.0

0.6815

13

175

0.15

1.0

0.6455

14

175

0.20

1.0

0.5958

15

175

0.25

1.0

0.7572

16

200

0.15

1.0

0.3910

17

200

0.20

1.0

0.6224

18

200

0.25

1.0

0.7172

19

150

0.15

1.2

0.5109

20

150

0.20

1.2

0.6822

21

150

0.25

1.2

0.7491

22

175

0.15

1.2

0.4307

23

175

0.20

1.2

1.1371

24

175

0.25

1.2

0.9007

25

200

0.15

1.2

0.5133

26

200

0.20

1.2

1.3305

27

200

0.25

1.2

1.3852

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