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Mechanical energy harvesters with tensile efficiency of 17.4% and torsional efficiency of 22.4% based on homochirally plied carbon nanotube yarns

Author

Listed:
  • Mengmeng Zhang

    (University of Texas at Dallas)

  • Wenting Cai

    (University of Texas at Dallas
    Xi’an Jiaotong University)

  • Zhong Wang

    (University of Texas at Dallas)

  • Shaoli Fang

    (University of Texas at Dallas)

  • Runyu Zhang

    (University of Texas at Dallas)

  • Hongbing Lu

    (University of Texas at Dallas)

  • Ali E. Aliev

    (University of Texas at Dallas)

  • Anvar A. Zakhidov

    (University of Texas at Dallas)

  • Chi Huynh

    (Lintec of America)

  • Enlai Gao

    (Wuhan University)

  • Jiyoung Oh

    (University of Texas at Dallas)

  • Ji Hwan Moon

    (Hanyang University)

  • Jong Woo Park

    (Hanyang University)

  • Seon Jeong Kim

    (Hanyang University)

  • Ray H. Baughman

    (University of Texas at Dallas)

Abstract

Improved methods are needed for harvesting mechanical energy. Coiled carbon nanotube yarns, termed twistrons, use stretch-induced changes in electrochemical capacitance to convert mechanical energy to electricity. Elongation of the yarn produces such large lateral Poisson’s ratios that the yarns are highly stretch densified, which contributes to harvesting. Here we report plied twistrons, instead of coiled, which increase the energy conversion efficiency of the yarns from 7.6% to 17.4% for stretch and to 22.4% for twist. This is attributed to additional harvesting mechanisms by yarn stretch and lateral deformations. For harvesting between 2 and 120 Hz, our plied twistron has higher gravimetric peak power and average power than has been reported for non-twistron, material-based mechanical energy harvesters. We sew the twistrons into textiles for sensing and harvesting human motion, deploy them in salt water for harvesting ocean wave energy and use them to charge supercapacitors.

Suggested Citation

  • Mengmeng Zhang & Wenting Cai & Zhong Wang & Shaoli Fang & Runyu Zhang & Hongbing Lu & Ali E. Aliev & Anvar A. Zakhidov & Chi Huynh & Enlai Gao & Jiyoung Oh & Ji Hwan Moon & Jong Woo Park & Seon Jeong , 2023. "Mechanical energy harvesters with tensile efficiency of 17.4% and torsional efficiency of 22.4% based on homochirally plied carbon nanotube yarns," Nature Energy, Nature, vol. 8(2), pages 203-213, February.
    • Handle: RePEc:nat:natene:v:8:y:2023:i:2:d:10.1038_s41560-022-01191-7
    DOI: 10.1038/s41560-022-01191-7
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    Cited by:

    1. Mojtaba Ghodsi & Morteza Mohammadzaheri & Payam Soltani, 2023. "Analysis of Cantilever Triple-Layer Piezoelectric Harvester (CTLPH): Non-Resonance Applications," Energies, MDPI, vol. 16(7), pages 1-17, March.

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