Mathematical Problems in Engineering / 2020 / Article / Tab 3 / Research Article
A Hybrid Computational Method of Desirability, Fuzzy Logic, ANFIS, and LAPO Algorithm for Multiobjective Optimization Design of Scott Russell Compliant Mechanism Table 3 Initially numerical results: frequency, displacement, and equivalent stress.
No. Design variables Frequency Displacement Stress θ (degree)L 1 (mm)L 2 (mm)L 3 (mm)L 4 (mm)D (mm)F 1 (X) (Hz)F 2 (X) (mm)F 3 (X) (MPa)1 14.5 6.3 16.6 10.1625 16.35 2.875 144.8765116 0.0131662 20.2101534 2 12.5 6.3 16.6 10.1625 16.35 2.875 145.6511486 0.0100512 17.3713011 3 16.5 6.3 16.6 10.1625 16.35 2.875 142.7061870 0.0124471 21.6504283 4 14.5 4.9 16.6 10.1625 16.35 2.875 144.5375979 0.0111032 19.3343769 5 14.5 7.7 16.6 10.1625 16.35 2.875 147.0998526 0.0101186 22.7858141 6 14.5 6.3 14.5 10.1625 16.35 2.875 153.7702955 0.0089541 14.8769691 7 14.5 6.3 18.7 10.1625 16.35 2.875 138.4140708 0.0104084 18.2311317 8 14.5 6.3 16.6 10.1625 16.35 2.25 29.1033323 0.2783916 413.3649425 9 14.5 6.3 16.6 10.1625 16.35 3.5 247.7177837 0.0042301 9.1823943 10 14.5 6.3 16.6 8.5 16.35 2.875 151.3503923 0.0132612 20.5864700 11 14.5 6.3 16.6 11.825 16.35 2.875 139.8224967 0.0132187 19.7278662 12 14.5 6.3 16.6 10.1625 14 2.875 158.4167103 0.0106565 18.8481276 13 14.5 6.3 16.6 10.1625 18.7 2.875 137.7014871 0.0139512 19.6035371 14 12.5 4.9 14.5 8.5 14 2.25 35.2827371 0.0126286 41.9016251 15 16.5 4.9 14.5 8.5 18.7 2.25 29.7282702 0.0319123 68.4134201 16 12.5 7.7 14.5 8.5 18.7 2.25 30.3150364 0.0440975 83.1659146 17 16.5 7.7 14.5 8.5 14 2.25 35.2125256 0.0541169 118.3677978 18 12.5 4.9 18.7 8.5 18.7 2.25 26.5880362 0.0605043 110.0556179 19 16.5 4.9 18.7 8.5 14 2.25 30.2587478 0.0314902 81.1699723 20 12.5 7.7 18.7 8.5 14 2.25 31.1153254 0.0262748 63.8299904 21 16.5 7.7 18.7 8.5 18.7 2.25 661.0920453 0.0000156 8.3148176 22 12.5 4.9 14.5 8.5 18.7 3.5 236.4448793 0.0020741 7.3108765 23 16.5 4.9 14.5 8.5 14 3.5 284.3688928 0.0034154 11.4796060 24 12.5 7.7 14.5 8.5 14 3.5 296.0385722 0.0028695 10.0679057 25 16.5 7.7 14.5 8.5 18.7 3.5 722.6186705 0.0000161 2.3844190 26 12.5 4.9 18.7 8.5 14 3.5 249.2833206 0.0037318 9.8955675 27 16.5 4.9 18.7 8.5 18.7 3.5 216.1175651 0.0056673 10.8787519 28 12.5 7.7 18.7 8.5 18.7 3.5 660.5761253 0.0000153 2.4110693 29 16.5 7.7 18.7 8.5 14 3.5 723.9722661 0.0000184 2.3225403 30 12.5 4.9 14.5 11.825 18.7 2.25 26.7029456 0.0095992 28.5990240 31 16.5 4.9 14.5 11.825 14 2.25 32.3612774 0.0773006 175.6411982 32 12.5 7.7 14.5 11.825 14 2.25 33.5994617 0.0998207 203.6469876 33 16.5 7.7 14.5 11.825 18.7 2.25 26.4888400 0.2497774 343.3155557 34 12.5 4.9 18.7 11.825 14 2.25 28.9826859 0.2040589 377.6240900 35 16.5 4.9 18.7 11.825 18.7 2.25 22.7266747 0.1692049 257.2457599 36 12.5 7.7 18.7 11.825 18.7 2.25 23.4218271 0.1117737 173.0523059 37 16.5 7.7 18.7 11.825 14 2.25 671.0395540 0.0000197 8.0316806 38 12.5 4.9 14.5 11.825 14 3.5 254.0503542 0.0020926 8.4557853 39 16.5 4.9 14.5 11.825 18.7 3.5 222.0867129 0.0038711 11.9575653 40 12.5 7.7 14.5 11.825 18.7 3.5 226.4134777 0.0034449 8.6649529 41 16.5 7.7 14.5 11.825 14 3.5 728.8362254 0.0000215 2.0182197 42 12.5 4.9 18.7 11.825 18.7 3.5 200.9526441 0.0042152 10.8241011 43 16.5 4.9 18.7 11.825 14 3.5 237.2856932 0.0032948 10.7328140 44 12.5 7.7 18.7 11.825 14 3.5 668.7600073 0.0000200 1.9910749 45 16.5 7.7 18.7 11.825 18.7 3.5 610.9395221 0.0000201 2.3080380