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 |
| Response (a) for S/N ratio: Ra | 1 | 4.450 | 4.447 | 4.861 | 2 | 4.102 | 4.556 | 4.360 | 3 | 4.677 | 4.226 | 4.008 | Delta | 0.574 | 0.330 | 0.854 | Rank | 2 | 3 | 1 |
| Response (b) for means: Ra | 1 | 0.5994 | 0.5999 | 0.5717 | 2 | 0.6256 | 0.5934 | 0.6063 | 3 | 0.5847 | 0.6163 | 0.6317 | Delta | 0.0409 | 0.0229 | 0.600 | Rank | 2 | 3 | 1 |
|
|