Nonlinear behaviors of the mechanism are facing challenges for researchers in compliant mechanism.
#Exact proportions of scott russell mechanism free
It benefits a monolithic structure, lightweight, and free friction. The mechanism can achieve its performances through elastic deformation of flexure hinges. It is exerted by a piezoelectric actuator in applications of high precision positioning systems. Scott Russell compliant mechanism (SRCM) is utilized as a shuttle to transform two input motions into output one. The results of this article give a useful approach for complex optimization problems. Besides, the performance efficiency of the proposed approach outperforms the Jaya algorithm and TLBO algorithm through the Wilcoxon signed rank test and Friedman test. The results find that the proposed methodology is more efficient than traditional Taguchi-based fuzzy logic. Three numerical examples are investigated to validate the feasibility and the effectiveness of performance efficiency of the proposed methodology. At last, the LAPO algorithm is adopted for solving the multiobjective optimization problem for the mechanism. Next, modeling for fuzzy output is established via developing the ANFIS model. The output of the fuzzy logic system is considered as a single combined objective function. Subsequently, desirability values of two objective functions are determined and transferred into the fuzzy logic system. First, design variables are refined by using analysis of variance and Taguchi approach in terms of considerably eliminating space of design variables. First of all, a 3D finite element model is created and central composite design is employed to build a numerical matrix. The proposed method is developed by hybridizing the desirability function approach, fuzzy logic system, adaptive neuro-fuzzy inference system (ANFIS), and lightning attachment procedure optimization (LAPO).
A Scott Russell compliant mechanism is employed as the design example and to show the advantages of the proposed optimizing method. Thus, this article presents a new efficient hybrid computational method to resolve multiobjective optimization design of compliant mechanisms. Especially, when considering a multiobjective optimization design for compliant mechanisms, the problem is becoming more complicated. Optimal design is an important aspect in the field of compliant mechanisms and has attracted much attention during the last decades.
However, their design and analysis are still challenging due to the coupling of kinematic-mechanical behaviors with large nonlinear deflections in comparison to their rigid-body counterparts. Flexure-based compliant mechanisms are increasingly promising in precision engineering, robotics, and other applications, thanks to the excellent advantages of no friction, no backlash, no wear, and minimal assembly.
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