Research Article
Prediction of Surface Roughness in End Milling Process Using Intelligent Systems: A Comparative Study
Table 3
Experimental results for training data (Lo [
12] and Ho et al. [
13]).
| | Experimental results | | | | |
| 1 | 750 | 6 | 0.01 | 65 | 2 | 750 | 6 | 0.03 | 63 | 3 | 750 | 6 | 0.05 | 72 | 4 | 750 | 12 | 0.01 | 144 | 5 | 750 | 12 | 0.03 | 102 | 6 | 750 | 12 | 0.05 | 94 | 7 | 750 | 18 | 0.01 | 185 | 8 | 750 | 18 | 0.03 | 147 | 9 | 750 | 18 | 0.05 | 121 | 10 | 750 | 24 | 0.01 | 187 | 11 | 750 | 24 | 0.03 | 170 | 12 | 750 | 24 | 0.05 | 172 | 13 | 1000 | 6 | 0.01 | 58 | 14 | 1000 | 6 | 0.03 | 78 | 15 | 1000 | 6 | 0.05 | 62 | 16 | 1000 | 12 | 0.01 | 130 | 17 | 1000 | 12 | 0.03 | 84 | 18 | 1000 | 12 | 0.05 | 92 | 19 | 1000 | 18 | 0.01 | 138 | 20 | 1000 | 18 | 0.03 | 124 | 21 | 1000 | 18 | 0.05 | 86 | 22 | 1000 | 24 | 0.01 | 163 | 23 | 1000 | 24 | 0.03 | 153 | 24 | 1000 | 24 | 0.05 | 142 | 25 | 1250 | 6 | 0.01 | 50 | 26 | 1250 | 6 | 0.03 | 63 | 27 | 1250 | 6 | 0.05 | 71 | 28 | 1250 | 12 | 0.01 | 101 | 29 | 1250 | 12 | 0.03 | 99 | 30 | 1250 | 12 | 0.05 | 85 | 31 | 1250 | 18 | 0.01 | 115 | 32 | 1250 | 18 | 0.03 | 92 | 33 | 1250 | 18 | 0.05 | 95 | 34 | 1250 | 24 | 0.01 | 155 | 35 | 1250 | 24 | 0.03 | 109 | 36 | 1250 | 24 | 0.05 | 121 | 37 | 1500 | 6 | 0.01 | 37 | 38 | 1500 | 6 | 0.03 | 56 | 39 | 1500 | 6 | 0.05 | 56 | 40 | 1500 | 12 | 0.01 | 88 | 41 | 1500 | 12 | 0.03 | 82 | 42 | 1500 | 12 | 0.05 | 94 | 43 | 1500 | 18 | 0.01 | 119 | 44 | 1500 | 18 | 0.03 | 87 | 45 | 1500 | 18 | 0.05 | 104 | 46 | 1500 | 24 | 0.01 | 119 | 47 | 1500 | 24 | 0.03 | 103 | 48 | 1500 | 24 | 0.05 | 109 |
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