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Author:

Wang, Xinhua (Wang, Xinhua.) | Yin, Gefan (Yin, Gefan.) | Sun, Tao (Sun, Tao.) | Rasool, Ghulam (Rasool, Ghulam.) | Abbas, Kamil (Abbas, Kamil.)

Indexed by:

EI Scopus SCIE

Abstract:

Harvesting the vibration energy commonly found in engines,aircompressors, and other machines is of great significance for energyrecovery and reutilization. However, due to the small vibration amplitudeand non-single vibration directions, the conventional vibration energyharvesters based on triboelectric nanogenerators (TENGs) have a lowefficiency. In this work, we proposed a TENG with a rotational freestandingmode (RFM-TENG), which can effectively harvest the mechanical vibrationenergy with a small amplitude, high frequency, and multiple directions.The working principle and performance characteristics of each TENGunit were demonstrated through theoretical analysis and electricalsimulations. To further improve the harvest efficiency, we prepareda room-temperature vulcanized silicone rubber (RTV) film doped withhigh dielectric constant halloysite nanotubes powder as the triboelectriclayer, which increased the open-circuit voltage by 100% and the short-circuitcurrent by 85% at an optimal doping ratio of 7 wt %. When the RFM-TENGwas installed on an air compressor, it generated an open-circuit voltageof about 60 V and a maximum output power of 45 & mu;W and allowed30 commercial LEDs to light up simultaneously. RFM-TENG has the advantagesof strong nonlinearity, high sensitivity, and multi-directional responseand has potential applications in the field of smart factory and digitaltwin.

Keyword:

halloysite nanotubes self-powered vibration sensor mechanical vibration energyharvesting triboelectric nanogenerator freestandingmode

Author Community:

  • [ 1 ] [Wang, Xinhua]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 2 ] [Yin, Gefan]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 3 ] [Sun, Tao]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 4 ] [Rasool, Ghulam]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 5 ] [Abbas, Kamil]Beijing Univ Technol, Inst Intelligent Machinery, Fac Mat & Mfg, Beijing 100124, Peoples R China

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Source :

ACS APPLIED ENERGY MATERIALS

ISSN: 2574-0962

Year: 2023

Issue: 14

Volume: 6

Page: 7607-7619

6 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 10

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 17

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