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Design and performance of a multimodal vibration-based energy harvester model for machine rotational frequencies

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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    Abstract

    This paper presents the design of vibration-based energy harvester model whose resonance frequency can be tunable with the help of the various cantilever type beam structures: T-folded, E-folded without a tip mass, E-folded with one tip mass, and E-folded with two tip masses. The main contribution is to make an optimal structure that can scavenge the destructive vibration into the highest possible electric energy even the attached machine is running at a low rotational frequency. The finite element method and experimental verification were used to search for the optimal design that can make the operational bandwidth broader and yield the maximum power output. The results show that the design of E-folded with two tip masses can offer a first three resonance frequencies varied from 18.18 Hz to 26.8 Hz. Such a range of low frequency can well adopt the common range of rotational frequency of most of the rotary machines. From the observations of experiments, the maximum output of electricity could be guaranteed and harvested by an external circuit tailor-made for the beam structures.
    Original languageEnglish
    Article number243902
    JournalApplied Physics Letters
    Volume110
    Issue number24
    Online published15 Jun 2017
    DOIs
    Publication statusPublished - Jun 2017

    Publisher's Copyright Statement

    • COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Shilong Sun and Peter W. Tse, "Design and performance of a multimodal vibration-based energy harvester model for machine rotational frequencies", Appl. Phys. Lett. 110, 243902 (2017) and may be found at https://doi.org/10.1063/1.4986477.

    RGC Funding Information

    • RGC-funded

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