摘要
智能仿生技术的迅速发展为医疗保健领域以及人机交互领域注入了新的活力。仿真人体皮肤功能,特别是触觉反应功能,是电子皮肤发展的一个关键方面。然而,现有的压阻式、压电式和电容式传统触觉传感器在实际应用中需要外部输入和电源系统来进行信息控制和能量供应。介绍了一种新颖的方法,采用全点胶印刷方法制造单电极摩擦纳米发电机(TENG)阵列,同时服务于生物运动识别和能量收集的双重目的。该结构利用Ag/聚二甲基硅氧烷(PDMS)/碳纳米管(CNT)复合电极油墨,将PDMS作为弹性包裹载体,通过银浆的片状结构和CNT的管状结构实现了桥接导电网络结构,确保了高导电性以及良好的柔韧性和印刷特性。所制得的TENG峰值开路电压为142 V,短路电流为64μA,负载电阻为10 MΩ,最大输出功率为9.31 mW。
The rapid development of intelligent bionic technology has injected new vitality into the field of medical care and human-computer interaction.Simulating human skin functions,especially tactile response functions,is a key aspect of e-skin development.However,existing piezoresistive,piezoelectric and capacitive conventional tactile sensors require external inputs and power systems for information control and energy supply in practical applications.In this study,we present a novel approach to fabricate single-electrode triboelectric nanogenerator(TENG)arrays using the all-dispensing printing method,which serves the dual purposes of both biological motion recognition and energy harvesting.The structure relates to the use of Ag/PDMS/CNT composite electrode ink and the use of PDMS as an elastic wrapping carrier.In this design,the structure of the bridge conductive network is realized by the lamellar structure of silver paste and the tubular structure of carbon nanotubes.This ensures high electrical conductivity,and good flexibility,and printing characteristics.The TENG is characterized by a peak open circuit voltage of 142 V,a short circuit current of 64μA,a load resistance of 10 MΩ,and a maximum output power of 9.31 mW.
作者
王光伟
姜富豪
刁彬烜
李鸿江
Joo Sang-Woo
丛晨浩
李欣琳
Wang Guangwei;Jiang Fuhao;Diao Binxuan;Li Hongjiang;Joo Sang-Woo;Cong Chenhao;Li Xinlin(College of Mechanical and Electrical Engineering,Qingdao University,Qingdao 266071,China;School of Chemical Engineering,Konkuk University,Seoul 05029,Korea;Qingrou(Qingdao)Intelligent Technology Co.,Ltd.,Qingdao 266071,China;School of Mechanical Engineering,Yeungnam University,Gyeongsan 38541,Korea)
出处
《微纳电子技术》
CAS
2024年第9期91-99,共9页
Micronanoelectronic Technology
基金
国家自然科学基金(62104123)
山东省高校青年创新团队支持计划(2022KJ144)。
