Multi-objective optimization of a triple layer piezoelectric bender with a flexible extension using genetic algorithm |
| |
Authors: | Nilanjan Chattaraj |
| |
Affiliation: | Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India |
| |
Abstract: | This article presents an electromechanical analysis for a piezoelectric bimorph actuator with a flexible extension, which is used to increase the tip deflection. The performance measuring attributes of such an actuator are derived, and a genetic algorithm is used for multi-objective optimization. The analysis reveals that for a thick flexible extension, the length of the extension provides Pareto optimal solutions for multi-objective optimization. The analysis also shows that as the thickness of the flexible extension decreases, the Pareto optimal solutions converge to a single solution for multi-objective optimization. We have considered nonlinear deflection behavior of piezoelectric materials at high electric fields, and series and parallel electrical connections in the analysis. |
| |
Keywords: | High electric field multi-objective optimization Pareto optimal piezoelectric actuator with flexible extension piezoelectric bimorph |
|
|