Prediction of Flank Wear during Turning of EN8 Steel with Cutting Force Signals Using a Deep Learning Approach

Table 1

Experimental layout.

Std. order	Cutting speed (mm/min)	Feed rate (mm/rev)	Depth of cut (mm)	Cutting force (N)	Modeling
1	90	0.2	0.3	959	Training
2	270	0.2	0.3	1137	Testing
3	90	0.4	0.3	1047	Testing
4	270	0.4	0.3	1062	Training
5	90	0.2	0.6	996	Training
6	270	0.2	0.6	1084	Testing
7	90	0.4	0.6	1002	Training
8	270	0.4	0.6	1033	Training
9	90	0.3	0.45	1037	Testing
10	270	0.3	0.45	1034	Training
11	180	0.2	0.45	1042	Training
12	180	0.4	0.45	1043	Training
13	180	0.3	0.3	1040	Testing
14	180	0.3	0.6	1081	Training
15	180	0.3	0.45	1015	Testing
16	180	0.3	0.45	971	Training
17	180	0.3	0.45	1190	Training
18	180	0.3	0.45	1032	Training
19	180	0.3	0.45	997	Training
20	180	0.3	0.45	983	Training