Composite film with hollow hierarchical silica/perfluoropolyether filler and surface etching for performance enhanced triboelectric nanogenerators

摩擦电效应 材料科学 聚二甲基硅氧烷 复合数 纳米技术 蚀刻(微加工) 光电子学 复合材料 图层(电子)
作者
Beibei Fan,Guoxu Liu,Xian Fu,Zhaozheng Wang,Zhi Zhang,Chi Zhang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:446: 137263-137263 被引量:47
标识
DOI:10.1016/j.cej.2022.137263
摘要

Triboelectric nanogenerators (TENGs), capable of harvesting distributed energy from the environment, have provided a viable solution for self-powered wearable electronics. However, their low power density and susceptibility to contamination still severely limit their practical application. Herein, we reported a “two-step” strategy to implement a waterproof self-powered wearable electronic device based on TENG. Firstly, Perfluoropolyether (PF) and hollow hierarchical silica (H-SiO2) as fillers significantly improve the dielectric properties of polydimethylsiloxane (PDMS) composite films (PFS films) through polarization effect. Then the nano bumps of 10–30 nm are created on the surface of the films by surface etching, the bumps can increase the contact area of TENG. The voltage of TENG is improved from ∼ 67 V to ∼ 910 V and the current is improved from ∼ 1 μA to ∼ 25 μA. What’s more, the investigation of the surface structure of the PFS composite films by Atomic Force Microscope (AFM) revealed that the synergistic combination of multiple nanoscales (10–30 nm, 60–80 nm, 300–500 nm) is more favorable to achieve high performance of TENG. The surface structure composed of multiple nanoscales endows PFS with excellent superhydrophobicity. The PFS films remained fine performance after 40,000 drops of water and 90 days. This work achieves high performance and water resistance of TENG, demonstrating great potential in the field of self-powered wearable electronic devices.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
kxy0311完成签到 ,获得积分10
刚刚
2秒前
Owen应助Pandora采纳,获得10
2秒前
小王同学发布了新的文献求助10
4秒前
老倭瓜完成签到,获得积分10
5秒前
吴京完成签到,获得积分10
5秒前
李健应助马尼拉采纳,获得10
5秒前
忐忑的黄豆完成签到,获得积分10
5秒前
6秒前
6秒前
马逑生发布了新的文献求助10
6秒前
6秒前
冰球上的火星完成签到,获得积分10
6秒前
7秒前
8秒前
litieniu完成签到 ,获得积分10
8秒前
8秒前
南一完成签到,获得积分10
9秒前
微笑荟完成签到,获得积分10
9秒前
上官小怡发布了新的文献求助10
10秒前
10秒前
11秒前
11秒前
12秒前
科研通AI6.4应助Twinkle采纳,获得10
12秒前
沙琪玛不好吃完成签到,获得积分10
13秒前
13秒前
mispring完成签到,获得积分10
13秒前
下文献完成签到,获得积分10
13秒前
ccc发布了新的文献求助10
14秒前
yun完成签到,获得积分10
14秒前
曹毅凯完成签到,获得积分10
14秒前
追寻夜香完成签到 ,获得积分10
15秒前
moon发布了新的文献求助10
15秒前
蛮21发布了新的文献求助10
16秒前
mispring发布了新的文献求助10
16秒前
酷波er应助tojia采纳,获得10
16秒前
17秒前
下文献发布了新的文献求助10
17秒前
kkb发布了新的文献求助10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361458
求助须知:如何正确求助?哪些是违规求助? 8175213
关于积分的说明 17221630
捐赠科研通 5416289
什么是DOI,文献DOI怎么找? 2866218
邀请新用户注册赠送积分活动 1843512
关于科研通互助平台的介绍 1691443