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    Electromechanical analysis of an adaptive piezoelectric energy harvester controlled by two segmented electrodes with shunt circuit networks

    247559_247559.pdf (1.309Mb)
    Access Status
    Open access
    Authors
    Lumentut, M.
    Howard, Ian
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Lumentut, M. and Howard, I. 2017. Electromechanical analysis of an adaptive piezoelectric energy harvester controlled by two segmented electrodes with shunt circuit networks. Acta Mechanica. 228 (4): pp. 1321-1341.
    Source Title
    Acta Mechanica
    DOI
    10.1007/s00707-016-1775-2
    ISSN
    0001-5970
    School
    Department of Mechanical Engineering
    Remarks

    The final publication is available at Springer via http://doi.org/10.1007/s00707-016-1775-2

    URI
    http://hdl.handle.net/20.500.11937/29686
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents an adaptive power harvester using a shunted piezoelectric control system with segmented electrodes. This technique has spurred new capability for widening the three simultaneous resonance frequency peaks using only a single piezoelectric laminated beam where normally previous works only provide a single peak for the resonance at the first mode. The benefit of the proposed techniques is that it provides effective and robust broadband power generation for application in self-powered wireless sensor devices. The smart structure beam with proof mass offset is considered to have simultaneous combination between vibration-based power harvesting and shunt circuit control-based electrode segments. As a result, the system spurs new development of the two mathematical methods using electromechanical closed-boundary value techniques and Ritz method-based weak-form analytical approach. The two methods have been used for comparison giving accurate results. For different electrode lengths using certain parametric tuning and harvesting circuit systems, the technique enables the prediction of the power harvesting that can be further proved to identify the performance of the system using the effect of varying circuit parameters so as to visualize the frequency and time waveform responses.

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