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Analysis and experiment of auxetic centrifugal softening impact energy harvesting from ultra-low-frequency rotational excitations

Author

Listed:
  • Fang, Shitong
  • Chen, Keyu
  • Lai, Zhihui
  • Zhou, Shengxi
  • Liao, Wei-Hsin

Abstract

The ubiquitous ultra-low-frequency rotational motions have become a kind of potential source for energy harvesting. Despite this, achieving high energy output at ultra-low rotational frequencies via simple energy harvesting structures appears to be a significant challenge. Therefore, this paper proposes an auxetic centrifugal softening impact energy harvester (ASIEH) to break through this bottleneck. The ASIEH consists of a centrifugal softening driving beam that impacts two rigid auxetic piezoelectric beams to generate electric energy during rotation. The modeling and simulation of the ASIEH and the plain centrifugal softening impact energy harvester (PSIEH) indicate that the high stress distribution and the simultaneous operation of d31 and d32 modes of the auxetic energy harvester can improve the energy output. Under the centrifugal effect, the driving beam experiences the vibration, impact and trapping modes subsequently, among which the impact mode produces the highest energy output. Experiments are conducted to validate the model and show that the peak power of the ASIEH (0.673 mW) can be increased by 200.45% compared with that of the PSIEH (0.224 mW) at 3.5 Hz. Parametric studies indicate that no matter how the impact distance and rotational radius are varied, the peak power and bandwidth of the ASIEH are higher than those of the PSIEH. Owing to the combination of both the centrifugal effect and the auxetic structure, the proposed ASIEH exhibits the great potential in ultra-low-frequency rotational energy harvesting with both high power density (41.23 μW/g) and high output power.

Suggested Citation

  • Fang, Shitong & Chen, Keyu & Lai, Zhihui & Zhou, Shengxi & Liao, Wei-Hsin, 2023. "Analysis and experiment of auxetic centrifugal softening impact energy harvesting from ultra-low-frequency rotational excitations," Applied Energy, Elsevier, vol. 331(C).
  • Handle: RePEc:eee:appene:v:331:y:2023:i:c:s0306261922016129
    DOI: 10.1016/j.apenergy.2022.120355
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    References listed on IDEAS

    as
    1. Cai, Qinlin & Zhu, Songye, 2021. "Applying double-mass pendulum oscillator with tunable ultra-low frequency in wave energy converters," Applied Energy, Elsevier, vol. 298(C).
    2. Wei, Min & Hong, Seung Ho & Alam, Musharraf, 2016. "An IoT-based energy-management platform for industrial facilities," Applied Energy, Elsevier, vol. 164(C), pages 607-619.
    3. Zou, Hong-Xiang & Zhao, Lin-Chuan & Gao, Qiu-Hua & Zuo, Lei & Liu, Feng-Rui & Tan, Ting & Wei, Ke-Xiang & Zhang, Wen-Ming, 2019. "Mechanical modulations for enhancing energy harvesting: Principles, methods and applications," Applied Energy, Elsevier, vol. 255(C).
    4. Halim, M.A. & Rantz, R. & Zhang, Q. & Gu, L. & Yang, K. & Roundy, S., 2018. "An electromagnetic rotational energy harvester using sprung eccentric rotor, driven by pseudo-walking motion," Applied Energy, Elsevier, vol. 217(C), pages 66-74.
    5. Zhang, Jinhui & Qin, Lifeng, 2019. "A tunable frequency up-conversion wideband piezoelectric vibration energy harvester for low-frequency variable environment using a novel impact- and rope-driven hybrid mechanism," Applied Energy, Elsevier, vol. 240(C), pages 26-34.
    6. Gunn, B. & Alevras, P. & Flint, J.A. & Fu, H. & Rothberg, S.J. & Theodossiades, S., 2021. "A self-tuned rotational vibration energy harvester for self-powered wireless sensing in powertrains," Applied Energy, Elsevier, vol. 302(C).
    7. Chen, Keyu & Gao, Qiang & Fang, Shitong & Zou, Donglin & Yang, Zhengbao & Liao, Wei-Hsin, 2021. "An auxetic nonlinear piezoelectric energy harvester for enhancing efficiency and bandwidth," Applied Energy, Elsevier, vol. 298(C).
    8. Meyer, Angela, 2021. "Multi-target normal behaviour models for wind farm condition monitoring," Applied Energy, Elsevier, vol. 300(C).
    9. Luo, Anxin & Zhang, Yulong & Dai, Xiangtian & Wang, Yifan & Xu, Weihan & Lu, Yan & Wang, Min & Fan, Kangqi & Wang, Fei, 2020. "An inertial rotary energy harvester for vibrations at ultra-low frequency with high energy conversion efficiency," Applied Energy, Elsevier, vol. 279(C).
    10. Miao, Gang & Fang, Shitong & Wang, Suo & Zhou, Shengxi, 2022. "A low-frequency rotational electromagnetic energy harvester using a magnetic plucking mechanism," Applied Energy, Elsevier, vol. 305(C).
    11. Hudson, Steven M. & Taylor, John T. & Bowen, Christopher R., 2022. "Energy harvesting of cathodic protection currents in subsea and marine structures for wireless sensor power and communication," Applied Energy, Elsevier, vol. 316(C).
    12. Zhou, Jiaxi & Zhao, Xuhui & Wang, Kai & Chang, Yaopeng & Xu, Daolin & Wen, Guilin, 2021. "Bio-inspired bistable piezoelectric vibration energy harvester: Design and experimental investigation," Energy, Elsevier, vol. 228(C).
    13. Li, Xiang & Gao, Qi & Cao, Yuying & Yang, Yanfei & Liu, Shiming & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Optimization strategy of wind energy harvesting via triboelectric-electromagnetic flexible cooperation," Applied Energy, Elsevier, vol. 307(C).
    14. Fan, Kangqi & Wang, Chenyu & Chen, Chenggen & Zhang, Yan & Wang, Peihong & Wang, Fei, 2021. "A pendulum-plucked rotor for efficient exploitation of ultralow-frequency mechanical energy," Renewable Energy, Elsevier, vol. 179(C), pages 339-350.
    15. Dao, Phong B., 2022. "On Wilcoxon rank sum test for condition monitoring and fault detection of wind turbines," Applied Energy, Elsevier, vol. 318(C).
    16. Wang, Shuyun & Yang, Zemeng & Kan, Junwu & Chen, Song & Chai, Chaohui & Zhang, Zhonghua, 2021. "Design and characterization of an amplitude-limiting rotational piezoelectric energy harvester excited by a radially dragged magnetic force," Renewable Energy, Elsevier, vol. 177(C), pages 1382-1393.
    17. Hundi, Prabhas & Shahsavari, Rouzbeh, 2020. "Comparative studies among machine learning models for performance estimation and health monitoring of thermal power plants," Applied Energy, Elsevier, vol. 265(C).
    18. Fang, Shitong & Miao, Gang & Chen, Keyu & Xing, Juntong & Zhou, Shengxi & Yang, Zhichun & Liao, Wei-Hsin, 2022. "Broadband energy harvester for low-frequency rotations utilizing centrifugal softening piezoelectric beam array," Energy, Elsevier, vol. 241(C).
    19. Mi, Jia & Li, Qiaofeng & Liu, Mingyi & Li, Xiaofan & Zuo, Lei, 2020. "Design, modelling, and testing of a vibration energy harvester using a novel half-wave mechanical rectification," Applied Energy, Elsevier, vol. 279(C).
    20. Eghbali, Pejman & Younesian, Davood & Farhangdoust, Saman, 2020. "Enhancement of the low-frequency acoustic energy harvesting with auxetic resonators," Applied Energy, Elsevier, vol. 270(C).
    21. Zhao, Lin-Chuan & Zou, Hong-Xiang & Zhao, Ying-Jie & Wu, Zhi-Yuan & Liu, Feng-Rui & Wei, Ke-Xiang & Zhang, Wen-Ming, 2022. "Hybrid energy harvesting for self-powered rotor condition monitoring using maximal utilization strategy in structural space and operation process," Applied Energy, Elsevier, vol. 314(C).
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    Cited by:

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    2. Chen, Keyu & Fang, Shitong & Lai, Zhihui & Cao, Junyi & Liao, Wei-Hsin, 2024. "A plucking rotational energy harvester with tapered thickness and auxetic structures for increasing power output," Applied Energy, Elsevier, vol. 357(C).
    3. Fang, Shitong & Du, Houfan & Yan, Tao & Chen, Keyu & Li, Zhiyuan & Ma, Xiaoqing & Lai, Zhihui & Zhou, Shengxi, 2024. "Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting," Applied Energy, Elsevier, vol. 356(C).
    4. Hou, Chengwei & Du, Xuteng & Dang, Shuai & Shan, Xiaobiao & Elsamanty, Mahmoud & Guo, Kai & Xie, Tao, 2024. "A broadband and multiband magnetism-plucked rotary piezoelectric energy harvester," Energy, Elsevier, vol. 302(C).
    5. Guan, Zhibin & Li, Ping & Wen, Yumei & Du, Yu & Wang, Guoda, 2023. "Bubble energy harvesting suitable for weak gas sources using bubble stream release scheme," Applied Energy, Elsevier, vol. 349(C).

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