Optimization of Automotive Suspension System by Design of Experiments: A Nonderivative Method

Table 8

DoE matrix: fractional factorial design.

Run		typ	cma	ks	cs	toe		RC
1	155	35	3	18000	418	10	41	0.48
2	155	35	3	26000	673	20	81	0.67
3	155	35	1	26000	673	10	41	0.8
4	155	35	1	26000	673	10	41	0.72
5	155	35	1	18000	418	20	81	1.24
6	155	35	3	18000	418	10	41	0.45
7	155	35	3	26000	673	20	81	0.65
8	155	35	1	18000	418	20	81	1.3
9	250	35	3	18000	673	10	81	0.54
10	250	35	3	26000	418	20	41	1.2
11	250	35	3	26000	418	20	41	1.06
12	250	35	1	26000	418	10	81	1.7
13	250	35	1	26000	418	10	81	1.5
14	250	35	1	18000	673	20	41	1.15
15	250	35	1	18000	673	20	41	1.2
16	250	35	3	18000	673	10	81	0.62
17	155	40	3	26000	418	10	81	1.12
18	155	40	1	18000	673	10	81	0.55
19	155	40	1	26000	418	20	41	0.9
20	155	40	3	18000	673	20	41	0.54
21	155	40	1	26000	418	20	41	0.82
22	155	40	1	18000	673	10	81	0.57
23	155	40	3	26000	418	10	81	1.17
24	155	40	3	18000	673	20	41	0.44
25	250	40	1	18000	418	10	41	0.97
26	250	40	1	26000	673	20	81	1.6
27	250	40	3	26000	673	10	41	0.61
28	250	40	3	18000	418	20	81	1.75
29	250	40	1	18000	418	10	41	0.91
30	250	40	3	18000	418	20	81	1.75
31	250	40	1	26000	673	20	81	1.25
32	250	40	3	26000	673	10	41	0.69