A split-optimization approach for obtaining multiple solutions in single-objective process parameter optimization

Rajora, Manik; Zou, Pan; Yang, Yao Guang; Fan, Zhi Wen; Chen, Hung Yi; Wu, Wen Chieh; Li, Beizhi; Liang, Steven Y.

doi:10.1186/s40064-016-3092-6

SpringerPlus

Table 3 The 63 groups of experimental data

From: A split-optimization approach for obtaining multiple solutions in single-objective process parameter optimization

No.	Voltage (V)	Pulse on time (µs)	Feed rate (µm/s)	D _in (µm)	D _out (µm)	Taper	Overcut (µm)
1	16	25	8	893	860	0.066	3.5
2	18	25	8	929	913	0.032	14.5
3	20	25	8	923	910	0.026	11.5
4	16	25	6	904	892	0.024	2
5	18	25	6	934	931	0.006	17
6	20	25	6	999	977	0.044	49.5
7	16	25	4	983	979	0.008	41.5
8	18	25	4	1050	1045	0.01	75
9	20	25	4	1125	1123	0.004	112.5
10	8	50	8	657.5	627.5	0.06	121.25
11	10	50	8	809.5	807.25	0.0045	45.25
12	12	50	8	866.25	858	0.0165	16.875
13	8	50	6	760	741	0.038	70
14	10	50	6	828.5	829.5	0.002	35.75
15	12	50	6	908.75	905.5	0.0065	4.375
16	8	50	4	781.75	780.25	0.003	59.125
17	10	50	4	887.25	881.75	0.011	6.375
18	12	50	4	957.75	970	0.0245	28.875
19	8	60	8	771.33	759.33	0.024	64.335
20	10	60	8	806.75	799.5	0.0145	46.625
21	12	60	8	862.75	847	0.0315	18.625
22	8	60	6	756.5	739.75	0.0335	71.75
23	10	60	6	776.75	777.5	0.0015	61.625
24	12	60	6	840.25	841.25	0.002	29.875
25	8	60	4	769	771.5	0.005	65.5
26	10	60	4	854.75	865.25	0.021	22.625
27	12	60	4	928.25	945.5	0.0345	14.125
28	8	70	8	718	721.5	0.007	91
29	10	70	8	779	796.75	0.0355	60.5
30	12	70	8	841.5	849.75	0.0165	29.25
31	8	70	6	736.5	744.5	0.016	81.75
32	10	70	6	802	829.75	0.0555	49
33	12	70	6	858.75	865	0.0125	20.625
34	8	70	4	783.25	783.25	0	58.375
35	10	70	4	878.75	872	0.0135	10.625
36	12	70	4	946.25	955.25	0.018	23.125
37	8	50	8	874	704	0.34	13
38	9	50	8	914	789	0.25	7
39	10	50	8	999	827	0.344	49.5
40	8	50	6	922	765	0.314	11
41	9	50	6	955	807	0.296	27.5
42	10	50	6	1039	837	0.404	69.5
43	8	50	4	932	797	0.27	16
44	9	50	4	1044	790	0.508	72
45	10	50	4	1130	858	0.544	115
46	8	60	8	903	708	0.39	1.5
47	9	60	8	967	766	0.402	33.5
48	10	60	8	1084	817	0.534	92
49	8	60	6	917	760	0.314	8.5
50	9	60	6	1043	856	0.374	71.5
51	10	60	6	1115	871	0.488	107.5
52	8	60	4	1071	754	0.634	85.5
53	9	60	4	1087	972	0.23	93.5
54	10	60	4	1263	1044	0.438	181.5
55	8	70	8	875	789	0.172	12.5
56	9	70	8	1071	842	0.458	85.5
57	10	70	8	1158	862	0.592	129
58	8	70	6	987	846	0.282	43.5
59	9	70	6	1212	886	0.652	156
60	10	70	6	1243	1056	0.374	171.5
61	8	70	4	1134	877	0.514	117
62	9	70	4	1260	935	0.65	180
63	10	70	4	1348	1016	0.664	224

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