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Journal Articles Mechanical Systems and Signal Processing Year : 2017

Enhancement of elastic wave energy harvesting using adaptive piezo-lens

Abstract

This paper exploits an adaptive piezo-lens to improve the harvested power (energy) from traveling waves. The piezo-lens comprises a host plate and piezoelectric patches bonded on the plate surfaces. The piezoelectric patches are shunted with negative capacitance (NC) circuits. The spatial variation of the refractive index inside the piezo-lens domain is designed to fulfill a hyperbolic secant function by tuning the NC values. This design allows the piezo-lens to continuously bend the incident waves toward a designed focal point, resulting in an energy concentration zone with a high level of energy density. This energy concentration effect may be exploited to improve the harvested power from waves. In addition, the piezo-lens is tunable - the waves can be focused at different locations by designing the NC values. This tunability may make the harvesting systems incorporating a piezo-lens be adaptable to environment changes. The above expected practical interests of the piezo-lens for wave energy harvesting are discussed and verified in the paper. Fully coupled numerical models are developed to predict the dynamical responses of the piezoelectric systems.
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Dates and versions

hal-01540777 , version 1 (16-06-2017)

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Kaijun Yi, Manuel Collet, Simon Chesné, Mélodie Monteil. Enhancement of elastic wave energy harvesting using adaptive piezo-lens. Mechanical Systems and Signal Processing, 2017, 93, pp.255-266. ⟨10.1016/j.ymssp.2017.02.008⟩. ⟨hal-01540777⟩
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