Literature DB >> 31633902

Oxygen-Rich Polymers as Highly Effective Positive Tribomaterials for Mechanical Energy Harvesting.

Zhi Zhang1,2,3, Wenzheng Gong2,3, Zhiqing Bai1, Dongfang Wang2,3, Yiyang Xu2,3, Zhutong Li2,3, Jiansheng Guo1, Lih-Sheng Turng2,3.   

Abstract

Triboelectric nanogenerators (TENGs) are a potential solution to the depleted state of fossil fuels, on the condition that the energy conversion efficiency can be further improved. Tribomaterials are important not only for improving the output performance of TENGs but also for extending their applications. In this work, a poly-ε-caprolactone (PCL) electrospun membrane is proposed as a highly effective positive tribomaterial, paired with an expanded polytetrafluoroethylene (ePTFE) membrane, to fabricate TENGs (PCL/ePTFE TENGs). Compared with a widely used polyamide-6 (PA6)/ePTFE TENG, the output performance of the PCL/ePTFE TENG is enhanced by about 28%, indicating that PCL possesses a stronger electron-donating ability owing to the existence of oxygen-containing functional groups as electron donors. Furthermore, the PCL membrane is modified using poly(ethylene glycol) methyl ether (mPEG), which possesses more O atoms, by electrospinning (ES) and dip coating (DC). The results reveal that mPEG is very effective at improving the positive electron polarity of PCL. With the increase of mPEG content, the output performance increases by more than 40%, yielding a maximum power density of 115.83 W·m-2. More polymers have been compared to confirm that many oxygen-rich polymers show excellent electron-donating abilities and act as highly efficient positive tribomaterials. This work also provides additional options for more effective positive tribomaterials.

Entities:  

Keywords:  high performance; poly(ethylene glycol) methyl ether; poly-ε-caprolactone; positive tribomaterial; triboelectric nanogenerator

Year:  2019        PMID: 31633902     DOI: 10.1021/acsnano.9b04911

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  5 in total

Review 1.  Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications.

Authors:  Zhengya Shi; Lingxian Meng; Xinlei Shi; Hongpeng Li; Juzhong Zhang; Qingqing Sun; Xuying Liu; Jinzhou Chen; Shuiren Liu
Journal:  Nanomicro Lett       Date:  2022-07-05

2.  Machine Learning Glove Using Self-Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications.

Authors:  Feng Wen; Zhongda Sun; Tianyiyi He; Qiongfeng Shi; Minglu Zhu; Zixuan Zhang; Lianhui Li; Ting Zhang; Chengkuo Lee
Journal:  Adv Sci (Weinh)       Date:  2020-06-09       Impact factor: 16.806

Review 3.  Textile-Based Triboelectric Nanogenerators for Wearable Self-Powered Microsystems.

Authors:  Peng Huang; Dan-Liang Wen; Yu Qiu; Ming-Hong Yang; Cheng Tu; Hong-Sheng Zhong; Xiao-Sheng Zhang
Journal:  Micromachines (Basel)       Date:  2021-02-05       Impact factor: 2.891

Review 4.  Materials in advanced design of personal protective equipment: a review.

Authors:  J Shi; H Li; F Xu; X Tao
Journal:  Mater Today Adv       Date:  2021-09-08

5.  Quantifying Wetting Dynamics with Triboelectrification.

Authors:  Xiaolong Zhang; Michele Scaraggi; Youbin Zheng; Xiaojuan Li; Yang Wu; Daoai Wang; Daniele Dini; Feng Zhou
Journal:  Adv Sci (Weinh)       Date:  2022-06-08       Impact factor: 17.521

  5 in total

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