Research Article
Prediction of Flank Wear during Turning of EN8 Steel with Cutting Force Signals Using a Deep Learning Approach
Table 4
Experimental vs. Predicted values.
| Std. order | Flank wear (experimental) | Predicted flank wear-ANFIS | % Error | Predicted flank wear-CAE | % error |
| 1 | 0.071 | 0.067 | 5.63 | 0.078 | −9.86 | 2 | 0.067 | 0.073 | −8.96 | 0.072 | −7.46 | 3 | 0.081 | 0.083 | −2.47 | 0.09 | −11.11 | 4 | 0.098 | 0.093 | 5.10 | 0.08 | 18.37 | 5 | 0.085 | 0.090 | −5.88 | 0.082 | 3.53 | 6 | 0.078 | 0.083 | −6.41 | 0.085 | −8.97 | 7 | 0.086 | 0.083 | 3.49 | 0.085 | 1.16 | 8 | 0.083 | 0.083 | 0.00 | 0.085 | −2.41 | 9 | 0.079 | 0.083 | −5.06 | 0.083 | −5.06 | 10 | 0.082 | 0.083 | −1.22 | 0.083 | −1.22 | 11 | 0.079 | 0.083 | −5.06 | 0.082 | −3.80 | 12 | 0.082 | 0.083 | −1.22 | 0.083 | −1.22 | 13 | 0.082 | 0.083 | −1.22 | 0.085 | −3.66 | 14 | 0.082 | 0.083 | −1.22 | 0.081 | 1.22 | 15 | 0.084 | 0.090 | −7.14 | 0.083 | 1.19 | 16 | 0.081 | 0.077 | 4.94 | 0.082 | −1.23 | 17 | 0.092 | 0.098 | −6.52 | 0.083 | 9.78 | 18 | 0.082 | 0.083 | −1.22 | 0.082 | 0.00 | 19 | 0.078 | 0.083 | −6.41 | 0.081 | −3.85 | 20 | 0.087 | 0.090 | −3.45 | 0.078 | 10.34 |
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