Research Article
Artificial Neural Network on Tool Condition Monitoring in Hard Turning of AISI4140 Steel Using Carbide Tool
Table 7
Percentage error for testing data.
| Ex. no | (m/min) | f (mm/rev) | ap (mm) | L (mm) | Tool wear (mm) | Measured | Predicted | Error % |
| 1 | 70 | 0.08 | 0.3 | 600 | 0.195 | 0.1982 | 1.64 | 2 | 120 | 0.08 | 0.3 | 200 | 0.09 | 0.0968 | 7.55 | 3 | 170 | 0.08 | 0.3 | 400 | 0.176 | 0.1621 | 7.89 | 4 | 70 | 0.1 | 0.3 | 400 | 0.12 | 0.1118 | 6.83 | 5 | 120 | 0.1 | 0.3 | 600 | 0.215 | 0.2287 | 6.37 | 6 | 170 | 0.1 | 0.3 | 600 | 0.227 | 0.2335 | 2.86 | 7 | 70 | 0.08 | 0.45 | 600 | 0.215 | 0.2252 | 4.74 | 8 | 170 | 0.08 | 0.45 | 600 | 0.242 | 0.2266 | 6.36 | 9 | 120 | 0.08 | 0.45 | 400 | 0.145 | 0.1597 | 10.13 | 10 | 70 | 0.12 | 0.6 | 400 | 0.17 | 0.1568 | 7.76 | 11 | 120 | 0.12 | 0.6 | 600 | 0.282 | 0.289 | 2.48 | 12 | 120 | 0.1 | 0.45 | 600 | 0.23 | 0.215 | 6.52 |
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