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A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design

Author

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  • Wang, Zhemin
  • Du, Yu
  • Li, Tianrun
  • Yan, Zhimiao
  • Tan, Ting

Abstract

Currently, the practicability of vibration energy harvesting devices is restricted by narrow resonant bandwidths. To realize broadband, high-efficiency vibration energy harvesting, here we propose a flute-inspired mechanical-intelligent piezoelectric energy harvester to achieve self-tracking vibration frequency without manual interventions. This harvester adjusts its natural frequency in a way reminiscent of how the tone of a flute is altered (i.e., by moving a sliding mass on the longitudinal arranged hole of a cantilever beam). The mechanical intelligence is reflected in self-tuning and self-locking following its dynamic responses. The natural frequency of the proposed device approaches the external excitation frequency by self-tuning, and the resonant state is stably maintained by self-locking. Comparison experiments with its linear counterpart, this flute-inspired mechanical-intelligent vibration energy harvester demonstrates a significant improvement of 610% in working bandwidth and an increase in power of 348%. Compared with the tunable beam-slider structure without mechanical-intelligence, the proposed energy harvester shows 235% increasing in operating bandwidth and 659% increasing in working efficiency. Practical applications of powering an electronic clock and charging a capacitor show the feasibility of this energy harvester used for the engineering community. This study provides a mechanical-intelligent design approach for piezoelectric vibration energy harvester, which may also be applied to other vibration energy harvesters using electromagnetic, triboelectric or hybrid transductions.

Suggested Citation

  • Wang, Zhemin & Du, Yu & Li, Tianrun & Yan, Zhimiao & Tan, Ting, 2021. "A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design," Applied Energy, Elsevier, vol. 303(C).
  • Handle: RePEc:eee:appene:v:303:y:2021:i:c:s0306261921009533
    DOI: 10.1016/j.apenergy.2021.117577
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    References listed on IDEAS

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    Cited by:

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    2. Bartosz Kawa & Chengkuo Lee & Rafał Walczak, 2022. "Inkjet 3D Printed MEMS Electromagnetic Multi-Frequency Energy Harvester," Energies, MDPI, vol. 15(12), pages 1-11, June.
    3. Zhu, Qiangguo & Wang, Guangqing & Zheng, Youcheng & Liu, Zhoulong & Zhou, Shuo & Zhang, Beiqi, 2022. "Coupling nonlinearities and dynamics between the hybrid tri-stable piezoelectric energy harvester and nonlinear interfaced circuit," Applied Energy, Elsevier, vol. 323(C).
    4. Sallam A. Kouritem & Muath A. Bani-Hani & Mohamed Beshir & Mohamed M. Y. B. Elshabasy & Wael A. Altabey, 2022. "Automatic Resonance Tuning Technique for an Ultra-Broadband Piezoelectric Energy Harvester," Energies, MDPI, vol. 15(19), pages 1-20, October.

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