ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Multi-objective optimization of a triple layer piezoelectric bender with a flexible extension using genetic algorithm

Chattaraj, Nilanjan and Ganguli, Ranjan (2018) Multi-objective optimization of a triple layer piezoelectric bender with a flexible extension using genetic algorithm. In: MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 25 (9). pp. 785-793.

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/ 10.1021/bm101443a

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.

Item Type: Journal Article
Additional Information: Copy right for this article belong to TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Depositing User: Id for Latest eprints
Date Deposited: 18 May 2018 16:00
Last Modified: 18 May 2018 16:00
URI: http://eprints.iisc.ac.in/id/eprint/59896

Actions (login required)

View Item View Item