Paper
18 April 2008 Piezoelectric energy harvesting from an L-shaped beam-mass structure
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Abstract
Cantilevered piezoelectric harvesters have been extensively considered in the energy harvesting literature. Mostly, a traditional cantilevered beam with one or more piezoceramic layers is located on a vibrating host structure. Motion of the host structure results in vibrations of the harvester beam and that yields an alternating voltage output. As an alternative to classical cantilevered beams, this paper presents a novel harvesting device; a flexible L-shaped beam-mass structure that can be tuned to have a two-to-one internal resonance to a primary resonance ω2 ≅ 2ω1 which is not possible for classical cantilevers). The L-shaped structure has been well investigated in the literature of nonlinear dynamics since the two-to-one internal resonance, along with the consideration of quadratic nonlinearities, may yield modal energy exchange (for excitation frequency ω≅ ω1or the so-called saturation phenomenon (for ω≅ω2). As a part of our ongoing research on piezoelectric energy harvesting, we are investigating the possibility of improving the electrical outputs in energy harvesting by employing these features of the L-shaped structure. This paper aims to introduce the idea, describes the important features of the L-shaped harvester configuration and develops a linear distributed parameter model for predicting the electromechanically coupled response. In addition, this work proposes a direct application of the L-shaped piezoelectric energy harvester configuration for use as landing gears in unmanned air vehicle applications.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alper Erturk, Jamil M. Renno, and Daniel J. Inman "Piezoelectric energy harvesting from an L-shaped beam-mass structure", Proc. SPIE 6928, Active and Passive Smart Structures and Integrated Systems 2008, 69280I (18 April 2008); https://doi.org/10.1117/12.776211
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Cited by 15 scholarly publications.
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KEYWORDS
Unmanned aerial vehicles

Energy harvesting

Electrodes

Micro unmanned aerial vehicles

Wind energy

Intelligence systems

Lead

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