Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device

Table 6

Evaluating the precision of mathematical models.

Parameter	predicted			FEA			Error (%)
	Mass (gram)	Stress (MPa)	Angle (degree)	Mass (gram)	Stress (MPa)	Angle (degree)	Mass	Stress	Angle
D = 53 mm; t = 8.8 mm	0.0337	388.17	58.69	0.0337	387.77	58.22	0.28	0.1	0.81
D = 54 mm; t = 0.9 mm	0.036	306.76	50.43	0.0359	312.94	50.15	0.3	2.02	0.55
D = 55 mm; t = 1.2 mm	0.0414	181.98	28.52	0.0413	187.17	27.79	0.27	2.85	2.57
Average							0.28	1.66	1.33