Research Article
A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263
| Level | Cutting speed | Feed rate | Point angle |
| (a) Response table for S/N ratio: Fz | 1 | −59.61 | −57.81 | −57.54 | 2 | −57.76 | −58.10 | −58.14 | 3 | −56.83 | −58.29 | −58.52 | Delta | 2.78 | 0.48 | 0.98 | Rank | 1 | 3 | 2 |
| (b) Response table for means: Fz | 1 | 677.2 | 555.6 | 539.92 | 2 | 547.8 | 574.2 | 575.9 | 3 | 492.0 | 587.3 | 602.0 | Delta | 185.3 | 31.7 | 62.8 | Rank | 1 | 3 | 2 |
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