Notepad-like Triboelectric Generator for Efficiently Harvesting Low-Velocity Motion Energy by Interconversion between Kinetic Energy and Elastic Potential Energy

动能 摩擦电效应 发电机(电路理论) 机械能 能量收集 材料科学 能量(信号处理) 电流(流体) 势能 流离失所(心理学) 电势能 二极管 能量转换 光电子学 功率(物理) 物理 电气工程 原子物理学 经典力学 工程类 复合材料 热力学 量子力学 心理治疗师 心理学
作者
Guanlin Liu,Qiang Leng,Jiawei Lian,Hengyu Guo,Yi Xi,Chenguo Hu
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:7 (2): 1275-1283 被引量:23
标识
DOI:10.1021/am507477y
摘要

Great attention has been paid to nanogenerators that harvest energy from ambient environments lately. In order to give considerable output current, most nanogenerators require high-velocity motion that in most cases can hardly be provided in our daily life. Here we report a notepad-like triboelectric generator (NTEG), which uses simple notepad-like structure to generate elastic deformation so as to turn a low-velocity kinetic energy into high-velocity kinetic energy through the conversion of elastic potential energy. Therefore, the NTEG can achieve high current output under low-velocity motion, which completely distinguishes it from tribogenerators previously reported. The factors that may affect the output performance are explored, including the number of slices, active length of slice, press speed, and vertical displacement. In addition, the working mechanism is systematically studied, indicating that the efficiency of the generator can be greatly enhanced by interconversion between kinetic energy and elastic potential energy. The short-circuit current, the open-circuit voltage, and power density are 205 μA and 470 V and 9.86 W/m2, respectively, which is powerful enough to light up hundreds of light-emitting diodes (LEDs) and charge a commercial capacitor. Besides, NTEGs have been successfully applied to a self-powered door monitor.

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
zz发布了新的文献求助10
刚刚
KongXY完成签到 ,获得积分10
1秒前
无私的碧玉完成签到,获得积分10
1秒前
NexusExplorer应助昏睡的金毛采纳,获得10
2秒前
3秒前
3秒前
3秒前
4秒前
大意的书兰完成签到 ,获得积分10
5秒前
5秒前
Akim应助糟糕的如音采纳,获得10
5秒前
烟花应助ChenkLuo采纳,获得10
6秒前
6秒前
6秒前
鳗鱼思真发布了新的文献求助100
6秒前
个性冰海发布了新的文献求助10
6秒前
七七七发布了新的文献求助10
7秒前
Chem发布了新的文献求助10
8秒前
科研通AI6.2应助jmt采纳,获得10
9秒前
鳗鱼思真发布了新的文献求助10
10秒前
无尘发布了新的文献求助10
10秒前
鳗鱼思真发布了新的文献求助10
10秒前
SLL发布了新的文献求助10
11秒前
11秒前
彭于晏应助追寻之云采纳,获得10
11秒前
12秒前
12秒前
12秒前
13秒前
万能图书馆应助a海w采纳,获得10
13秒前
张欢馨应助巴斯光年采纳,获得10
13秒前
14秒前
飘逸的天菱完成签到,获得积分20
14秒前
16秒前
16秒前
小二郎应助冷静的口红采纳,获得10
16秒前
烟花应助冷静的口红采纳,获得10
16秒前
17秒前
molihuakai应助冷静的口红采纳,获得10
17秒前
Jasper应助冷静的口红采纳,获得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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632328
求助须知:如何正确求助?哪些是违规求助? 9206736
关于积分的说明 19745547
捐赠科研通 7201701
什么是DOI,文献DOI怎么找? 3274787
关于科研通互助平台的介绍 2436711
邀请新用户注册赠送积分活动 2271458