Genetic algorithm based optimization design of miniature piezoelectric forceps

This paper studies about a simulation of a derived model for the steady-state force-deflection behavior of a miniature piezoelectric forceps actuator (PFA) based on complementary strain energy. Utilizing a genetic algorithm (GA) based as a design tool to simulate and optimize the physical design parameters of the PFA to get the optimum grasping force-deflection end tip of the PFA within desired physical constraints. Simulation studies of the optimized PFA parameters based on GA are presented. The piezoelectric forceps is remotely controlled miniature gripper and potentially to be used in tele-surgery, minimally invasive surgery, MEMS industrial assembly line, pick and place hazardous materials in tight and small space.