JOURNAL ARTICLE

Statistical Analysis of Energy Harvesting From Functionally Graded Cantilever Beam with Piezoelectric Layer

A. Panjebashi NaghshK. K. Esmaeili. Torkanpouri

Year: 2022 Journal:   Journal of Computational Methods In Engineering Vol: 40 (2)   Publisher: Isfahan University of Technology

Abstract

One of the new methods for powering low power electronic devices is the use of mechanical energies due to vibrations. In this method, the piezoelectric material is employed for converting the mechanical energy of vibration into the electrical energy. The advantage of this method is needlessness of using the battery charging system. In this paper, the functionally graded (FG) cantilever with the piezoelectric layer is considered as energy harvester system. The mathematical model of the system is constructed and the governing equation for electromechanical coupling is presented. Then the effects of the system parameters on the generated power is studied. Finally, by considering uncertainties in energy harvester parameters, the effect of uncertainties on the produced energy is investigated by Monte-Carlo simulation method for the first time. The results show that although the amount of generated power in the first natural frequency is higher than the other frequencies, but around the first natural frequency, the effect of uncertainties is increased and thus, the reliability of the energy harvester will be decreased.

Keywords:
Cantilever Energy harvesting Piezoelectricity Materials science Beam (structure) Layer (electronics) Composite material Acoustics Energy (signal processing) Structural engineering Engineering Physics

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Topics

Innovative Energy Harvesting Technologies
Physical Sciences →  Engineering →  Mechanical Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Modular Robots and Swarm Intelligence
Physical Sciences →  Engineering →  Mechanical Engineering

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