Research Article
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 |
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