Research Article

A Machine Learning Approach to Optimize, Model, and Predict the Machining Factors in Dry Drilling of Nimonic C263

Table 3

Response table Fz.

LevelCutting speedFeed ratePoint 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
Delta2.780.480.98
Rank132

(b) Response table for means: Fz
1677.2555.6539.92
2547.8574.2575.9
3492.0587.3602.0
Delta185.331.762.8
Rank132