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. orderFlank wear (experimental)Predicted flank wear-ANFIS% ErrorPredicted flank wear-CAE% error

10.0710.0675.630.078−9.86
20.0670.073−8.960.072−7.46
30.0810.083−2.470.09−11.11
40.0980.0935.100.0818.37
50.0850.090−5.880.0823.53
60.0780.083−6.410.085−8.97
70.0860.0833.490.0851.16
80.0830.0830.000.085−2.41
90.0790.083−5.060.083−5.06
100.0820.083−1.220.083−1.22
110.0790.083−5.060.082−3.80
120.0820.083−1.220.083−1.22
130.0820.083−1.220.085−3.66
140.0820.083−1.220.0811.22
150.0840.090−7.140.0831.19
160.0810.0774.940.082−1.23
170.0920.098−6.520.0839.78
180.0820.083−1.220.0820.00
190.0780.083−6.410.081−3.85
200.0870.090−3.450.07810.34