Complexity / 2022 / Article / Tab 5 / Research Article
An Optimized Design of New XYθ Mobile Positioning Microrobotic Platform for Polishing Robot Application Using Artificial Neural Network and Teaching-Learning Based Optimization Table 5 Numerical results for the MPM platform.
No. A (mm)B (mm)C (mm)D (mm)E (mm)Stroke (μ m) Safety factor 1 0.85 0.75 0.65 0.6 50 1274.459 1.795 2 0.8 0.75 0.65 0.6 50 1271.977 2.216 3 0.9 0.75 0.65 0.6 50 1247.641 1.819 4 0.85 0.7 0.65 0.6 50 1270.549 2.003 5 0.85 0.8 0.65 0.6 50 1291.601 1.900 6 0.85 0.75 0.6 0.6 50 1316.365 1.747 7 0.85 0.75 0.7 0.6 50 1144.243 2.017 8 0.85 0.75 0.65 0.55 50 1355.784 1.905 9 0.85 0.75 0.65 0.65 50 1219.778 1.951 10 0.85 0.75 0.65 0.6 45 1292.106 1.945 11 0.85 0.75 0.65 0.6 55 1114.789 1.915 12 0.83 0.73 0.63 0.58 51.41 1285.452 1.896 13 0.86 0.73 0.63 0.58 48.58 1339.131 1.989 14 0.83 0.76 0.63 0.58 48.58 1350.635 1.612 15 0.86 0.76 0.63 0.58 51.41 1343.359 1.978 16 0.83 0.73 0.66 0.58 48.58 1245.309 2.223 17 0.86 0.73 0.66 0.58 51.41 1231.288 1.959 18 0.83 0.76 0.66 0.58 51.41 1359.739 2.101 19 0.86 0.76 0.66 0.58 48.58 1320.488 1.967 20 0.83 0.73 0.63 0.61 48.58 1370.22 1.806 21 0.86 0.73 0.63 0.61 51.41 1371.444 1.933 22 0.83 0.76 0.63 0.61 51.41 1362.347 1.929 23 0.86 0.76 0.63 0.61 48.58 1278.259 1.784 24 0.83 0.73 0.66 0.61 51.41 1158.641 2.032 25 0.86 0.73 0.66 0.61 48.58 1231.481 2.034 26 0.83 0.76 0.66 0.61 48.58 1190.894 2.002 27 0.86 0.76 0.66 0.61 51.41 1210.883 2.261