High-sensitivity gradient porous ionic polymer pressure sensor in charge-sensing mode

Author:

Cai Zirui1ORCID,Li Yiming1ORCID,Fan Peng2ORCID,Hu Qiao1,Zhu Zicai1ORCID

Affiliation:

1. Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi'an Jiaotong University 1 , Xi'an, Shaanxi 710049, People's Republic of China

2. State Key Laboratory for Strength and Vibration of Mechanical Structures, Soft Machines Lab, Department of Engineering Mechanics, Xi'an Jiaotong University 2 , Xi'an, People's Republic of China

Abstract

Ionic polymers are composite materials consisting of polymer networks, solvents, and mobile ions, which can generate an electrical potential under external pressure. Existing research works have focused on enhancing the voltage response of the ionic polymer sensors, but it is usually difficult to exceed 100 mV. For the low impedance resulting from ionic conductivity properties and easy charge migration distribution, they may have high charge sensitivity. This Letter proposed an ionic polymer-based network of pressure sensors with gradient porous sensing structure, which is easily and quickly constructed, that has high sensitivity in the charge-sensing mode. The gradient porous structure is prepared layer by layer using NaCl as the porogen particles. The experimental results show that the gradient porous structure has exceptionally high charge sensitivity, reaching 5629 and 2147 pC/N in the range of 0–0.5 and 0.5–2.5 N, respectively, which is significantly better than those of the planar and surface micro-pyramid structures. Stress analysis is also carried out, and the simulation results show that the stress dramatically changes with the gradient of porosity, which significantly promotes the migration of cations and reveals the ultra-high charge response of this structure. The results can provide guidance for the design of the high-sensitivity ionic polymer pressure sensor.

Funder

National Natural Science Foundation of China

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3