Research Article
Prediction of Cutting Conditions in Turning AZ61 and Parameters Optimization Using Regression Analysis and Artificial Neural Network
Table 3
Listing of four-level full factorial samples.
| Sample ID | Group | Cutting speed (m/min) | Depth of cut (mm) | Feed (mm/rev) | Surface Ra (µm) | MRR (mm3/min) |
| 1 | 1 | 125 | 0.30 | 0.05 | 0.185 | 1875 | 2 | 125 | 0.30 | 0.10 | 0.457 | 3750 | 3 | 125 | 0.30 | 0.15 | 0.972 | 5625 | 4 | 125 | 0.30 | 0.20 | 1.779 | 7500 | 5 | 2 | 125 | 0.60 | 0.05 | 0.188 | 3750 | 6 | 125 | 0.60 | 0.10 | 0.375 | 7500 | 7 | 125 | 0.60 | 0.15 | 0.998 | 11250 | 8 | 125 | 0.60 | 0.20 | 2.205 | 15000 | 9 | 3 | 125 | 0.90 | 0.05 | 0.168 | 5625 | 10 | 125 | 0.90 | 0.10 | 0.378 | 11250 | 11 | 125 | 0.90 | 0.15 | 1.059 | 16875 | 12 | 125 | 0.90 | 0.20 | 2.254 | 22500 | 13 | 4 | 125 | 1.12 | 0.05 | 0.144 | 7000 | 14 | 125 | 1.12 | 0.10 | 0.466 | 14000 | 15 | 125 | 1.12 | 0.15 | 1.154 | 21000 | 16 | 125 | 1.12 | 0.20 | 2.786 | 28000 | 17 | 5 | 150 | 0.30 | 0.05 | 0.156 | 2250 | 18 | 150 | 0.30 | 0.10 | 0.365 | 4500 | 19 | 150 | 0.30 | 0.15 | 0.954 | 6750 | 20 | 150 | 0.30 | 0.20 | 1.737 | 9000 | 21 | 6 | 150 | 0.60 | 0.05 | 0.143 | 4500 | 22 | 150 | 0.60 | 0.10 | 0.349 | 9000 | 23 | 150 | 0.60 | 0.15 | 1.1058 | 13500 | 24 | 150 | 0.60 | 0.20 | 1.866 | 18000 | 25 | 7 | 150 | 0.90 | 0.05 | 0.128 | 6750 | 26 | 150 | 0.90 | 0.10 | 0.413 | 13500 | 27 | 150 | 0.90 | 0.15 | 0.999 | 20250 | 28 | 150 | 0.90 | 0.20 | 1.782 | 27000 | 29 | 8 | 150 | 1.12 | 0.05 | 0.201 | 8400 | 30 | 150 | 1.12 | 0.10 | 0.508 | 16800 | 31 | 150 | 1.12 | 0.15 | 1.020 | 25200 | 32 | 150 | 1.12 | 0.20 | 1.911 | 33600 | 33 | 9 | 175 | 0.30 | 0.05 | 0.199 | 2625 | 34 | 175 | 0.30 | 0.10 | 0.386 | 5250 | 35 | 175 | 0.30 | 0.15 | 0.982 | 7875 | 36 | 175 | 0.30 | 0.20 | 2.005 | 10500 | 37 | 10 | 175 | 0.60 | 0.05 | 0.199 | 5250 | 38 | 175 | 0.60 | 0.10 | 0.432 | 10500 | 39 | 175 | 0.60 | 0.15 | 1.128 | 15750 | 40 | 175 | 0.60 | 0.20 | 2.054 | 21000 | 41 | 11 | 175 | 0.90 | 0.05 | 0.256 | 7875 | 42 | 175 | 0.90 | 0.10 | 0.486 | 15750 | 43 | 175 | 0.90 | 0.15 | 1.187 | 23625 | 44 | 175 | 0.90 | 0.20 | 2.759 | 31500 | 45 | 12 | 175 | 1.12 | 0.05 | 0.178 | 9800 | 46 | 175 | 1.12 | 0.10 | 0.464 | 19600 | 47 | 175 | 1.12 | 0.15 | 1.316 | 29400 | 48 | 175 | 1.12 | 0.20 | 2.214 | 39200 | 49 | 13 | 200 | 0.30 | 0.05 | 0.145 | 3000 | 50 | 200 | 0.30 | 0.10 | 0.398 | 6000 | 51 | 200 | 0.30 | 0.15 | 0.955 | 9000 | 52 | 200 | 0.30 | 0.20 | 2.211 | 12000 | 53 | 14 | 200 | 0.60 | 0.05 | 0.265 | 6000 | 54 | 200 | 0.60 | 0.10 | 0.487 | 12000 | 55 | 200 | 0.60 | 0.15 | 0.999 | 18000 | 56 | 200 | 0.60 | 0.20 | 1.999 | 24000 | 57 | 15 | 200 | 0.90 | 0.05 | 0.148 | 9000 | 58 | 200 | 0.90 | 0.10 | 0.477 | 18000 | 59 | 200 | 0.90 | 0.15 | 0.987 | 27000 | 60 | 200 | 0.90 | 0.20 | 2.165 | 36000 | 61 | 16 | 200 | 1.12 | 0.05 | 0.254 | 11200 | 62 | 200 | 1.12 | 0.10 | 0.345 | 22400 | 63 | 200 | 1.12 | 0.15 | 1.115 | 33600 | 64 | 200 | 1.12 | 0.20 | 1.896 | 44800 |
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