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Enhanced output and wearable performances of triboelectric nanogenerator based on ePTFE microporous membranes for motion monitoring

摩擦电效应 材料科学 纳米发生器 微型多孔材料 多孔性 复合材料 可穿戴技术 纳米技术 光电子学 可穿戴计算机 压电 计算机科学 遗传学 生物 嵌入式系统
作者
Ying Hu,Yu‐Dong Shi,Xingyu Cao,Yipeng Liu,Shaoyun Guo,Jiabin Shen
出处
期刊:Nano Energy [Elsevier BV]
卷期号:86: 106103-106103 被引量:41
标识
DOI:10.1016/j.nanoen.2021.106103
摘要

Triboelectric nanogenerators (TENGs) have attracted significant attentions in wearable electronics as self-powered systems. Endowing TENGs with excellent waterproof and breathable functions is critical for their wearable applications. Herein, the expanded polytetrafluoroethylene (ePTFE) calendared sheets were stretched into microporous membranes and used as negative material of TENG device. The excessively expanded micropores of the membrane were considered to sacrifice the surface area, which was adverse to the triboelectric output. Thereby, a series of lower stretching temperatures were chosen for weakening molecular mobility to obtain a membrane (U-300-40) with smaller pore size but maintain a large porosity. As a result, the open-circuit voltage, short-circuit current and transferred charge reached approximately 120 V, 9.5 μA and 44 nC, respectively. Additionally, the water contact angle of 138° and the moisture permeability of 5200 g/m2·24 h presented the potential wearable applications. In order to further improve the wearable performances, the U-300-40 continued to be transversely stretched. The pore size of the membrane (B-200) was only 0.1 µm, which was almost one order of magnitude smaller than that of the uniaxially-stretched membrane owning a similar porosity. Benefiting from the optimized structure, the moisture permeability was further enhanced to 7000 g/m2·24 h, but the output was less impacted. Finally, the fabricated TENG was demonstrated to be a reliable electronic good at monitoring and distinguishing some knee motions. Accordingly, the optimized ePTFE membrane opens an effective route to balance its output and wearable performances, which exhibits a promising application in automatically monitoring the body motions.
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