Observation of Drilling Burr and Finding out the Condition for Minimum Burr Formation

Table 3

Training dataset for neural networks (NN) and estimated burr height.

Training; data number	Cutting velocity,; 𝑉𝑐 (m/min)	Feed; (mm/rev)	Cooling; applied	Use of back; up plate	Edge; beveliing	Measured burr; height (ΔM) (mm)	NN estimated; burr; height (ΔS) (mm)	Percentage of; predication error; Δ𝑀−Δ𝑆Δ𝑀×100
1	20	0.032	0	0	0	4	4.178	−4.45
2	20	0.032	1	0	0	2.73	2.794	−2.34432
3	20	0.032	0	1	0	0.22	0.214	2.727273
4	20	0.032	1	1	0	0.18	0.192	−6.66667
5	20	0.032	0	0	1	0.71	0.818	−15.2113
6	20	0.032	1	0	1	0.08	0.074	7.5
7	20	0.05	0	0	0	5.22	5.047	3.314176
8	20	0.05	1	0	0	6.17	5.938	3.76013
9	20	0.05	0	1	0	0.12	0.132	−10
10	20	0.05	1	1	0	0.04	0.0393	1.75
11	20	0.05	0	0	1	0.5	0.49	2
12	20	0.05	1	0	1	0.08	0.076	5
13	20	0.08	0	0	0	1.93	2.092	−8.39378
14	20	0.08	1	0	0	4.17	3.075	26.25899
15	20	0.08	0	1	0	0.1	0.109	−9
16	20	0.08	1	1	0	1.43	1.373	3.986014
17	20	0.08	0	0	1	0.34	0.429	−26.1765
18	20	0.08	1	0	1	0.02	0.024	−20
19	25	0.032	0	0	0	7	6.625	5.357143
20	25	0.032	1	0	0	4.76	4.894	−2.81513
21	25	0.032	0	1	0	0.18	0.219	−21.6667
22	25	0.032	1	1	0	0.16	0.159	0.625
23	25	0.032	0	0	1	0.91	0.791	13.07692
24	25	0.032	1	0	1	0.03	0.027	10
25	25	0.05	0	0	0	5.52	5.66	−2.53623
26	25	0.05	1	0	0	5.66	6.044	−6.78445
27	25	0.05	0	1	0	0.63	0.568	9.84127
28	25	0.05	1	1	0	0.05	0.041	18
29	25	0.05	0	0	1	0.76	0.664	12.63158
30	25	0.05	1	0	1	0.05	0.047	6
31	25	0.08	0	0	0	4.71	4.246	9.85138
32	25	0.08	1	0	0	3.27	3.718	−13.7003
33	25	0.08	0	1	0	0.31	0.362	−16.7742
34	25	0.08	1	1	0	1.24	1.25	−0.80645
35	25	0.08	0	0	1	0.64	0.523	18.28125
36	25	0.08	1	0	1	0.08	0.079	1.25
37	31	0.032	0	0	0	3	3.823	−27.4333
38	31	0.032	1	0	0	4.84	5.052	−4.38017
39	31	0.032	0	1	0	0.35	0.368	−5.14286
40	31	0.032	1	1	0	0.38	0.331	12.89474
41	31	0.032	0	0	1	0.64	0.732	−14.375
42	31	0.032	1	0	1	0.48	0.471	1.875
43	31	0.05	0	0	0	5.05	4.479	11.30693
44	31	0.05	1	0	0	5.88	6.255	−6.37755
45	31	0.05	0	1	0	0.57	0.472	17.19298
46	31	0.05	1	1	0	0.14	0.139	0.714286
47	31	0.05	0	0	1	0.78	0.734	5.897436
48	31	0.05	1	0	1	0.48	0.358	25.41667
49	31	0.08	0	0	0	4.2	4.64	−10.4762
50	31	0.08	1	0	0	5.31	5.27	0.753296
51	31	0.08	0	1	0	0.64	0.452	29.375
52	31	0.08	1	1	0	0.35	0.449	−28.2857
53	31	0.08	0	0	1	0.44	0.423	3.863636
54	31	0.08	1	0	1	0.07	0.079	−12.8571