Research Article
An Effective ABC-SVM Approach for Surface Roughness Prediction in Manufacturing Processes
Table 10
Testing results for Ra of AISI 1045 steel at minimizing MSE.
| ā | v (m/mim) | f (mm/rev) | d (mm) | r (mm) | Experimental Ra (m) | Ra (Predictive values) | ABC-SVM (MSE = 0.0453) | DE-SVM (MSE = 0.0373) | GA-SVM (MSE = 0.0453) | PSO-SVM (MSE = 0.0455) |
| 1 | 180 | 0.2 | 0.5 | 0.8 | 1.8877 | 2.0129 | 2.1597 | 2.0133 | 2.0115 | 2 | 150 | 0.2 | 1 | 0.8 | 1.9947 | 2.0693 | 2.1505 | 2.0694 | 2.0694 | 3 | 120 | 0.15 | 1 | 0.8 | 1.170 | 1.3894 | 1.5517 | 1.3898 | 1.3877 | 4 | 180 | 0.25 | 1 | 0.8 | 3.1685 | 2.9224 | 3.2116 | 2.9223 | 2.9233 | 5 | 120 | 0.25 | 1 | 0.8 | 3.0863 | 2.9965 | 2.9566 | 2.9961 | 2.9967 | 6 | 150 | 0.25 | 1 | 0.4 | 4.0983 | 3.9430 | 4.2104 | 3.9456 | 3.9486 | 7 | 120 | 0.2 | 1 | 1.2 | 1.2460 | 1.1807 | 1.1981 | 1.1812 | 1.1768 | 8 | 150 | 0.15 | 1 | 1.2 | 0.75 | 0.3335 | 0.5392 | 0.3344 | 0.3300 | 9 | 150 | 0.15 | 1 | 0.4 | 2.0477 | 2.3100 | 2.1647 | 2.3101 | 2.3111 |
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