A multi-response optimal design of bistable compliant mechanism using efficient approach of desirability, fuzzy logic, ANFIS and LAPO algorithm

摘要: Abstract Compliant mechanisms are promising candidates in precision engineering, soft robotics, space, and bioengineering due to their advantages of free friction, lubricant, no backlash, monolithic structure, minimal assembly. However, designing analyzing compliant facing the high complexity a coupling kinematic mechanical behavior comparison rigid-body mechanisms. Especially, considering multi-objective optimization design for mechanisms, problem is more complicated. Thus, this paper presents new efficient hybrid methodology solving design. A hybridization developed through combination finite element method, statistical technique, desirability function approach, fuzzy logic system, adaptive neuro-fuzzy inference system (ANFIS), Lightning attachment procedure (LAPO). bistable mechanism investigated as an application example proposed method. First, variables determined, then central composite employed construct numerically experimental matrix. Though using analysis variance Taguchi refined make populations. Subsequently, values two performances computed, results transferred into system. The output considered single combined objective function. By developing ANFIS model, relation between established. Finally, LAPO algorithm adopted mechanism. Three numerical examples validate performance efficiency demonstrate that method than Taguchi-based logic. Besides, Wilcoxon signed rank test Friedman test, it reveals approach superior those Jaya TLBO algorithm. article can be extended other complex well problems with multiple functions constraints.