Self-Powered Miniaturized Acceleration Sensor Based on Rationally Patterned Electrodes

IF 1.8 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY IEEE Open Journal of Nanotechnology Pub Date : 2021-08-16 DOI:10.1109/OJNANO.2021.3104961
Baocheng Wang;Xuelian Wei;Junhuan Chen;Zhihao Yuan;Yapeng Shi;Zhiyi Wu;Zhong Lin Wang
{"title":"Self-Powered Miniaturized Acceleration Sensor Based on Rationally Patterned Electrodes","authors":"Baocheng Wang;Xuelian Wei;Junhuan Chen;Zhihao Yuan;Yapeng Shi;Zhiyi Wu;Zhong Lin Wang","doi":"10.1109/OJNANO.2021.3104961","DOIUrl":null,"url":null,"abstract":"Acceleration sensors have a wide variety of applications for industrial engineering, biology and navigation. However, passive sensing, narrow detection range, large size, and high manufacturing cost curb their further development. Here, we present a miniaturized acceleration sensor (MAS) with rationally patterned electrodes, based on the single electrode triboelectric mechanism, featuring small size, high accuracy, large detection scale, and environmental friendliness. A stainless-steel ball, as the moving part of the MAS, experiences physical movement that is converted into an electrical signal. Equipped with rationally patterned electrodes, the MAS retains the smallest size and lowest weight compared with the currently reported self-powered acceleration sensors. Benefiting from the voltage-relationship-based direction detection mechanism, eight directions can be identified by one TENG module. Consequently, rotated 22.5° relatively, two TENG modules enable the MAS to detect 16 directions. Moreover, accelerations ranging from 0.1 m/s\n<sup>2</sup>\n to 50 m/s\n<sup>2</sup>\n can be identified according to the relationship of response time and accelerations in the horizontal direction. The relationship is obtained through the measurements of the sum of output voltages (\n<italic>V<sub>SOC</sub></i>\n) for the four bottom electrodes with varying accelerations. In addition, no distinct decrease of \n<italic>V<sub>SOC</sub></i>\n is observed after continuously operating for 2000 circles, presenting excellent robustness. Hence, this cost-effective and rationally patterned MAS reveals great potential for human machine interaction, VR/AR (virtual/augmented reality), sports training, and smart city.","PeriodicalId":446,"journal":{"name":"IEEE Open Journal of Nanotechnology","volume":"2 ","pages":"78-85"},"PeriodicalIF":1.8000,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/OJNANO.2021.3104961","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Nanotechnology","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/9514450/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

Abstract

Acceleration sensors have a wide variety of applications for industrial engineering, biology and navigation. However, passive sensing, narrow detection range, large size, and high manufacturing cost curb their further development. Here, we present a miniaturized acceleration sensor (MAS) with rationally patterned electrodes, based on the single electrode triboelectric mechanism, featuring small size, high accuracy, large detection scale, and environmental friendliness. A stainless-steel ball, as the moving part of the MAS, experiences physical movement that is converted into an electrical signal. Equipped with rationally patterned electrodes, the MAS retains the smallest size and lowest weight compared with the currently reported self-powered acceleration sensors. Benefiting from the voltage-relationship-based direction detection mechanism, eight directions can be identified by one TENG module. Consequently, rotated 22.5° relatively, two TENG modules enable the MAS to detect 16 directions. Moreover, accelerations ranging from 0.1 m/s 2 to 50 m/s 2 can be identified according to the relationship of response time and accelerations in the horizontal direction. The relationship is obtained through the measurements of the sum of output voltages ( VSOC ) for the four bottom electrodes with varying accelerations. In addition, no distinct decrease of VSOC is observed after continuously operating for 2000 circles, presenting excellent robustness. Hence, this cost-effective and rationally patterned MAS reveals great potential for human machine interaction, VR/AR (virtual/augmented reality), sports training, and smart city.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于合理模式电极的自供电微型加速度传感器
加速度传感器在工业工程、生物学和导航领域有着广泛的应用。然而,被动传感、检测范围窄、体积大、制造成本高等缺点制约了其进一步发展。在此,我们提出了一种基于单电极摩擦电机制的具有合理电极图案的小型化加速度传感器(MAS),具有体积小、精度高、检测规模大、环境友好的特点。一个不锈钢球,作为MAS的运动部分,经历物理运动转化为电信号。与目前报道的自供电加速度传感器相比,配备了合理图案的电极,MAS保持了最小的尺寸和最低的重量。利用基于电压关系的方向检测机制,一个TENG模块可以识别8个方向。因此,相对旋转22.5°,两个TENG模块使MAS能够检测16个方向。根据响应时间与水平方向加速度的关系,可以识别出0.1 m/s2 ~ 50 m/s2的加速度范围。该关系是通过测量四个底部电极在不同加速度下的输出电压之和(VSOC)得到的。此外,连续运行2000圈后,VSOC没有明显下降,具有良好的鲁棒性。因此,这种具有成本效益和合理模式的MAS显示出人机交互,VR/AR(虚拟/增强现实),体育训练和智慧城市的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.90
自引率
17.60%
发文量
10
审稿时长
12 weeks
期刊最新文献
High-Performance Dielectric Modulated Epitaxial Tunnel Layer Tunnel FET for Label-Free Detection of Biomolecules Portable and Cost-Effective Handheld Ultrasound System Utilizing FPGA-Based Synthetic Aperture Imaging Polarization and Strain in Piezoelectric Nanomaterials: Advancing Sensing Applications in Biomedical Technology Manipulation of 2D and 3D Magnetic Solitons Under the Influence of DMI Gradients Gallium Sulfide-Immobilized Optical Fiber-Based SPR Sensor for Detection of Brilliant Blue Food Adulteration
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1