Optimization for a Flexure Hinge Using an Effective Hybrid Approach of Fuzzy Logic and Moth-Flame Optimization Algorithm

Flexure hinge is a critical element in positioner of nanoindentation tester. To effectively work, suitable flexure should simultaneously meet multiple objectives, including rotation axis shift, safety factor, and angular deflection. The main aim this article was to illustrate hybrid method the Taguchi method, fuzzy logic, response surface Moth-flame optimization algorithm solve design order enhance three quality characteristics hinge. Firstly, four common hinges are compared together seek best one. Secondly, numerical experiments gathered via Taguchi-based detasFlex software. Thirdly, objective functions transferred into signal noises eliminate unit differences. Later on, modeling proposed interpolate these one integrated function. An regression equation built using method. Finally, optimized by algorithm. results found that shift 10.944?10?5 mm, high factor 2.993, deflection 52.0058?10?3 rad. verifications agreement with forecasted results. analysis variance sensitivity also performed identify effects meaningful contributions input variables on In addition, employing Wilcoxon signed rank test Friedman test, find proficiency has more benefits than ASO GA. research provide beneficial approach for conducting complicated multiobjective optimal problems.