BCM aims to operate as a deployable unit cell, requiring one degree of freedom (i.e., one actuation input), and occurs within multiple applications such as developing structures, self-closing, gates, and switches. Synthesis of compliant mechanism design models can be presented in a myriad of formats, though all lead to the final necessary parameters for the individual mechanism dimensions. This study presented a bistable compliant mechanism (BCM) concept design, together with an optimization method, based on selected output parameters.
A vast set of optimal solutions can be used as a reference manual for mechanism developers. The adapted GA-PSO algorithm was executed with ease, extending the convergence period (through GA) and exhibiting a good diversity of objectives, allowing the development of large-scale statistics for all MLP permutations as optimal solutions. The resulting PFOS from validation trials demonstrated significant improvement in responses. Finally, GA-PSO estimated the most appropriate Pareto-frontal optimum solutions (PFOS) from nondominance set and crowd/flocking space approaches. Consequently, a hybrid genetic algorithm-based particle swarm/flock optimization (GA-PSO) technique was employed and optimized at multiple levels for assessing ideal MLP combinations, in order to minimize characteristics (10% + 90% of b max). RSM evaluated the impact of MLPs at individual/interacting levels on responses. Correlations for mechanism linkage parameters (MLPs) and responses ( v and b max) were set up by utilizing analysis of variance for response surface (RSM) technique. Initially, BSCS was theoretically modeled as a crank-slider mechanism, utilizing pseudo-rigid-body model (PRBM) on stiffness coefficient ( v), with a maximum vertical footprint ( b max) for enhancing vibration characteristics. This research focuses on the synthesis of linkage parameters for a bistable compliant system (BSCS) to be widely implemented within space applications.
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