Optimal Design of a Compliant Microgripper for Assemble System of Cell Phone Vibration Motor Using a Hybrid Approach of ANFIS and Jaya

Abstract

Compliant microgripper is an important manipulation to grip a shaft into a core of a cell phone vibration motor. This paper proposes a design optimization for a new compliant microgripper. The displacement and resonant frequency of compliant microgripper are the most important characteristics, which are considered as objective functions. The length and thickness of flexure hinges are design variables. The optimal process is performed by using the hybridization algorithm between adaptive neuro-fuzzy inference system (ANFIS) and Jaya algorithm. Firstly, the data are collected by the Taguchi method. Subsequently, the signal-to-noise ratios are calculated and the weight factor of each cost function is defined by established equations well. Hereafter, a parametric control diagram is further developed by using ANFIS so as to establish the relationships between the design parameters and responses. Finally, Jaya algorithm is used to solve the multi-objective optimization problem. The results indicated that the optimal displacement and frequency were about 3260 $$\upmu $$ m and 61.9 Hz, respectively. These values are satisfied with the actual requirements of assembly industry for cell phone vibration motor. The proposed hybrid optimization algorithm is also robust and effective for the compliant microgripper as compared to previous methods.