Machining Characteristics Investigations of DSS-2205 Using RSM–ANN and Gray Relational Analysis

Table 2

Experimentation and observation.

Experimental run	Factor 1	Factor 2	Factor 3	Factor 4	Output responses	Predicted by optimization software
	Cutting velocity (Vc)	Feed rate (Fz)	Cutting depth (Dc)	Nose radius (Rtip)	Experimental machining time (TmExp)	Predicted machining time (TmRSM)	Predicted machining time (TmANN)
1	120	0.4	3.5	1.6	1.54	1.52	1.5101
2	100	0.5	3	1.2	1.46	1.49	1.4576
3	140	0.5	3	1.2	1.56	1.50	1.5155
4	100	0.3	4	2.4	1.61	1.59	1.5872
5	120	0.4	4.5	1.6	1.52	1.57	1.5179
6	100	0.3	3	2.4	1.48	1.50	1.4801
7	140	0.5	4	1.2	1.53	1.51	1.5101
8	140	0.3	4	2.4	1.61	1.59	1.5971
9	120	0.4	3.5	1.6	1.51	1.43	1.4201
10	120	0.4	3.5	1.6	1.47	1.42	1.4301
11	140	0.5	4	2.4	1.54	1.50	1.5224
12	120	0.4	3.5	1.6	1.36	1.42	1.4201
13	80	0.4	3.5	1.6	1.58	1.59	1.5841
14	120	0.4	3.5	1.6	1.37	1.42	1.3701
15	100	0.5	4	1.2	1.51	1.47	1.4908
16	120	0.4	3.5	1.6	1.28	1.42	1.3301
17	140	0.3	3	1.2	1.61	1.60	1.5811
18	120	0.6	3.5	1.6	1.35	1.39	1.3463
19	140	0.3	4	1.2	1.52	1.50	1.5106
20	100	0.3	3	1.2	1.53	1.51	1.5149
21	140	0.5	3	2.4	1.25	1.28	1.2551
22	100	0.5	4	2.4	1.57	1.58	1.5714
23	120	0.4	2.5	1.6	1.53	1.55	1.5092
24	100	0.5	3	2.4	1.44	1.38	1.3867
25	120	0.2	3.5	1.6	1.45	1.47	1.4171
26	100	0.3	4	1.2	1.41	1.39	1.3741
27	160	0.4	3.5	1.6	1.59	1.64	1.6082
28	120	0.4	3.5	2.8	1.32	1.37	1.3090
29	140	0.3	3	2.4	1.51	1.48	1.4959
30	120	0.4	3.5	0.8	1.34	1.38	1.3323