An Optimal Design Method for Compliant Mechanisms

Table 4

The frequency’s ANOVA.

Source	Df	Seq SS	Contribution	Adj SS	Adj MS	F value	value
Model	27	9662.88	98.63	9662.88	357.88	55.89	≤0.001
Linear	6	9110.08	92.99	9110.08	1518.35	237.10	≤0.001
T1	1	2.16	0.02	2.16	2.16	0.34	0.567
L1	1	0.12	0.00	0.12	0.12	0.02	0.891
T2	1	3680.14	37.56	3680.14	3680.14	574.67	≤0.001
L2	1	2715.44	27.72	2715.44	2715.44	424.03	≤0.001
T3	1	2085.91	21.29	2085.91	2085.91	325.72	≤0.001
L3	1	626.31	6.39	626.31	626.31	97.80	≤0.001
Square	6	250.43	2.56	250.43	41.74	6.52	0.001
T1 ∗ T1	1	7.11	0.07	12.26	12.26	1.91	0.181
L1 ∗ L1	1	4.49	0.05	0.40	0.40	0.06	0.804
T2 ∗ T2	1	186.44	1.90	39.17	39.17	6.12	0.022
L2 ∗ L2	1	30.95	0.32	51.60	51.60	8.06	0.010
T3 ∗ T3	1	8.50	0.09	19.64	19.64	3.07	0.095
L3 ∗ L3	1	12.95	0.13	12.95	12.95	2.02	0.170
2-Way interaction	15	302.36	3.09	302.36	20.16	3.15	0.008
T1 ∗ L1	1	0.03	0.00	0.03	0.03	0.00	0.951
T1 ∗ T2	1	1.29	0.01	1.29	1.29	0.20	0.658
T1 ∗ L2	1	0.03	0.00	0.03	0.03	0.01	0.942
T1 ∗ T3	1	0.85	0.01	0.85	0.85	0.13	0.720
T1 ∗ L3	1	1.07	0.01	1.07	1.07	0.17	0.687
L1 ∗ T2	1	3.58	0.04	3.58	3.58	0.56	0.463
L1 ∗ L2	1	0.54	0.01	0.54	0.54	0.09	0.773
L1 ∗ T3	1	0.65	0.01	0.65	0.65	0.10	0.754
L1 ∗ L3	1	0.03	0.00	0.03	0.03	0.00	0.950
T2 ∗ L2	1	12.93	0.13	12.93	12.93	2.02	0.170
T2 ∗ T3	1	72.27	0.74	72.27	72.27	11.28	0.003
T2 ∗ L3	1	59.82	0.61	59.82	59.82	9.34	0.006
L2 ∗ T3	1	110.01	1.12	110.01	110.01	17.18	≤0.001
L2 ∗ L3	1	25.70	0.26	25.70	25.70	4.01	0.058
T3 ∗ L3	1	13.58	0.14	13.58	13.58	2.12	0.160
Error	21	134.48	1.37	134.48	6.40
Total	48	9797.36	100.00