Research Article
A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263
| Exp. no. | Input | Outputs | N (rev/min) | f (mm/rev) | 2ρ (degree) | Fz (N) | Ra (μm) |
| 1 | 1250 | 0.10 | 120 | 1250 | 0.576 | 2 | 1250 | 0.10 | 140 | 1300 | 0.585 | 3 | 1250 | 0.10 | 145 | 1375 | 0.592 | 4 | 1250 | 0.155 | 120 | 1265 | 0.582 | 5 | 1250 | 0.155 | 140 | 1360 | 0.592 | 6 | 1250 | 0.155 | 145 | 1420 | 0.621 | 7 | 1250 | 0.198 | 120 | 1385 | 0.595 | 8 | 1250 | 0.198 | 140 | 1400 | 0.622 | 9 | 1250 | 0.198 | 145 | 1430 | 0.641 | 10 | 1500 | 0.10 | 120 | 950 | 0.656 | 11 | 1500 | 0.10 | 140 | 1100 | 0.598 | 12 | 1500 | 0.10 | 145 | 1150 | 0.635 | 13 | 1500 | 0.155 | 120 | 990 | 0.586 | 14 | 1500 | 0.155 | 140 | 1110 | 0.642 | 15 | 1500 | 0.155 | 145 | 1200 | 0.685 | 16 | 1500 | 0.198 | 120 | 1060 | 0.552 | 17 | 1500 | 0.198 | 140 | 1120 | 0.672 | 18 | 1500 | 0.198 | 145 | 1175 | 0.695 | 19 | 1750 | 0.10 | 120 | 900 | 0.585 | 20 | 1750 | 0.10 | 140 | 970 | 0.612 | 21 | 1750 | 0.10 | 145 | 1000 | 0.651 | 22 | 1750 | 0.155 | 120 | 925 | 0.535 | 23 | 1750 | 0.155 | 140 | 1010 | 0.546 | 24 | 1750 | 0.155 | 145 | 1050 | 0.564 | 25 | 1750 | 0.198 | 120 | 975 | 0.571 | 26 | 1750 | 0.198 | 140 | 990 | 0.589 | 27 | 1750 | 0.198 | 145 | 1030 | 0.635 |
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