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Triboelectric Nanogenerators and Hybridized Systems for Enabling Next-Generation IoT Applications

Research 2021年第1期2021卷 392-421页

作者： Qiongfeng Shi zhongda sun Zixuan Zhang Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3SingaporeSingapore 117583 Center for Intelligent Sensors and MEMS National University of Singapore4 Engineering Drive 3SingaporeSingapore 117583 Smart Systems Institute National University of Singapore3 Research LinkSingaporeSingapore 117602 NUS Graduate School for Integrative Science and Engineering National University of SingaporeSingaporeSingapore 117456

In the past few years,triboelectric nanogenerator-based(TENG-based)hybrid generators and systems have experienced a widespread and flourishing development,ranging among almost every aspect of our lives,e.g.,from industry to consumer,outdoor to indoor,and wearable to implantable *** TENG technology has been extensively investigated for mechanical energy harvesting,most developed TENGs still have limitations of small output current,unstable power generation,and low energy utilization rate of multisource *** harvest the ubiquitous/coexisted energy forms including mechanical,thermal,and solar energy simultaneously,a promising direction is to integrate TENG with other transducing mechanisms,e.g.,electromagnetic generator,piezoelectric nanogenerator,pyroelectric nanogenerator,thermoelectric generator,and solar cell,forming the hybrid generator for synergetic single-source and multisource energy *** resultant TENG-based hybrid generators utilizing integrated transducing mechanisms are able to compensate for the shortcomings of each mechanism and overcome the above limitations,toward achieving a maximum,reliable,and stable output ***,in this review,we systematically introduce the key technologies of the TENG-based hybrid generators and hybridized systems,in the aspects of operation principles,structure designs,optimization strategies,power management,and system *** recent progress of TENG-based hybrid generators and hybridized systems for the outdoor,indoor,wearable,and implantable applications is also ***,we discuss our perspectives on the future development trend of hybrid generators and hybridized systems in environmental monitoring,human activity sensation,human-machine interaction,smart home,healthcare,wearables,implants,robotics,Internet of things(IoT),and many other fields.

关键词： IoT generator harvesting

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Human Machine Interface with Wearable Electronics Using Biodegradable Triboelectric Films for Calligraphy Practice and Correction

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Nano-Micro Letters 2022年第12期14卷 630-644页

作者： Shen Shen Jia Yi zhongda sun Zihao Guo Tianyiyi He Liyun Ma Huimin Li Jiajia Fu Chengkuo Lee Zhong Lin Wang Jiangsu Engineering Technology Research Center for Functional Textiles Jiangnan UniversityNo.1800 Lihu AvenueWuxiP.R.China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083P.R.China China National Textile and Apparel Council Key Laboratory of Natural Dyes Soochow UniversitySuzhou 215123People’s Republic of China School of Material Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332-0245USA

Letter handwriting,especially stroke correction,is of great importance for recording languages and expressing and exchanging ideas for individual behavior and the *** this study,a biodegradable and conductive carboxymethyl chitosan-silk fibroin(CSF)film is prepared to design wearable triboelectric nanogenerator(denoted as CSF-TENG),which outputs of V_(oc)≈165 V,I_(sc)≈1.4μA,and Q_(sc)≈72 mW cm^(−2).Further,in vitro biodegradation of CSF film is performed through trypsin and *** results show that trypsin and lysozyme have stable and favorable biodegradation properties,removing 63.1%of CSF film after degrading for 11 ***,the CSF-TENG-based human-machine interface(HMI)is designed to promptly track writing steps and access the accuracy of letters,resulting in a straightforward communication media of human and *** CSF-TENG-based HMI can automatically recognize and correct three representative letters(F,H,and K),which is benefited by HMI system for data processing and *** CSF-TENG-based HMI can make decisions for the next stroke,highlighting the stroke in advance by replacing it with red,which can be a candidate for calligraphy practice and ***,various demonstrations are done in real-time to achieve virtual and real-world controls including writing,vehicle movements,and healthcare.

关键词： Letter handwriting Triboelectric nanogenerator Biodegradable Human-machine interface Calligraphy practice

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Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things

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InfoMat 2020年第6期2卷 1131-1162页

作者： Qiongfeng Shi Bowei Dong Tianyiyi He zhongda sun Jianxiong Zhu Zixuan Zhang Chengkuo Lee Department of Electrical and Computer Engineering National University of SingaporeSingapore117576Singapore Center for Intelligent Sensors and MEMS National University of SingaporeSingapore117608Singapore Hybrid-Integrated Flexible(Stretchable)Electronic Systems Program National University of SingaporeSingapore117608Singapore NUS Suzhou Research Institute(NUSRI) Suzhou215123China NUS Graduate School for Integrative Science and Engineering National University of SingaporeSingapore117456Singapore

The past few years have witnessed the significant impacts of wearable electronics/photonics on various aspects of our daily life,for example,healthcare monitoring and treatment,ambient monitoring,soft robotics,prosthetics,flexible display,communication,human-machine interactions,and so *** to the development in recent years,the next-generation wearable electronics and photonics are advancing rapidly toward the era of artificial intelligence(AI)and internet of things(IoT),to achieve a higher level of comfort,convenience,connection,and ***,this review provides an opportune overview of the recent progress in wearable electronics,photonics,and systems,in terms of emerging materials,transducing mechanisms,structural configurations,applications,and their further integration with other ***,development of general wearable electronics and photonics is summarized for the applications of physical sensing,chemical sensing,humanmachine interaction,display,communication,and so *** self-sustainable wearable electronics/photonics and systems are discussed based on system integration with energy harvesting and storage ***,technology fusion of wearable systems and AI is reviewed,showing the emergence and rapid development of intelligent/smart *** the last section of this review,perspectives about the future development trends of the next-generation wearable electronics/photonics are provided,that is,toward multifunctional,self-sustainable,and intelligent wearable systems in the AI/IoT era.

关键词： artificial intelligence energy harvesting human-machine interface internet of things wearable electronics wearable photonics

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Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

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npj Flexible Electronics 2020年第1期4卷 243-254页

作者： Zixuan Zhang Tianyiyi He Minglu Zhu zhongda sun Qiongfeng Shi Jianxiong Zhu Bowei Dong Mehmet Rasit Yuce Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Centre for Intelligent Sensors and MEMS(CISM) National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Hybrid Integrated Flexible Electronic Systems(HIFES) 5 Engineering Drive 1Singapore 117608Singapore Smart Systems Institute National University of Singapore3 Research LinkSingapore 117602Singapore National University of Singapore Suzhou Research Institute(NUSRI) Suzhou Industrial Park215123 SuzhouChina Department of Electrical and Computer Systems Engineering Monash UniversityMelbourneVIC 3800Australia NUS Graduate School for Integrative Science and Engineering(NGS) National University of SingaporeSingapore 119077Singapore

The era of artificial intelligence and internet of things is rapidly developed by recent advances in wearable *** reveals sensory information in daily life containing personal information,regarding identification and *** wearable electronics of gait analysis are mainly limited by high fabrication cost,operation energy consumption,or inferior analysis methods,which barely involve machine learning or implement nonoptimal models that require massive datasets for ***,we developed low-cost triboelectric intelligent socks for harvesting waste energy from low-frequency body motions to transmit wireless sensory *** sock equipped with self-powered functionality also can be used as wearable sensors to deliver information,regarding the identity,health status,and activity of the *** further address the issue of ineffective analysis methods,an optimized deep learning model with an end-to-end structure on the socks signals for the gait analysis is proposed,which produces a 93.54%identification accuracy of 13 participants and detects five different human activities with 96.67%*** practical application,we map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring,healthcare,identification,and future smart home applications.

关键词： Deep smart IoT

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A Wearable Multidimensional Motion Sensor for AI-Enhanced VR Sports

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Research 2023年第3期2023卷 105-115页

作者： Zi Hao Guo ZiXuan Zhang Kang An Tianyiyi He zhongda sun Xiong Pu Chengkuo Lee Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 101400People's Republic of China School of Nanoscience and Technology University of Chinese Academy of SciencesBejing 100049People's Republic of China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore School of Mechanical and Materials Engineering North China University of TechnologyBeijing 100144People's Republic of China

Regular exercise paves the way to a healthy ***,conventional sports events are susceptible to weather *** motion sensors for home-based sports are mainly limited by operation power consumption,single-direction sensitivity,or inferior data ***,by leveraging the 3-dimensional printing technique and triboelectric effect,a wearable self-powered multidimensional motion sensor has been developed to detect both the vertical and planar movement *** integrating with a belt,this sensor could be used to identify some low degree of freedom motions,e.g.,waist or gait motion,with a high accuracy of 93.8%.Furthermore,when wearing the sensor at the ankle position,signals generated from shank motions that contain more abundant information could also be effectively *** means of a deep learning algorithm,the kicking direction and force could be precisely differentiated with an accuracy of 97.5%.Toward practical application,a virtual reality-enabled fitness game and a shooting game were successfully *** work is believed to open up new insights for the development of future household sports or rehabilitation.

关键词： integrating printing Regular

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Volatile organic compounds sensing based on Bennet doubler-inspired triboelectric nanogenerator and machine learning-assisted ion mobility analysis

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Science Bulletin 2021年第12期66卷 1176-1185,M0003页

作者： Jianxiong Zhu zhongda sun Jikai Xu Rafal D.Walczak Jan ADziuban Chengkuo Lee School of Mechanical Engineering.Southeast University Nanjing 211189China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore Center for Intelligent Sensors and MEMS(CISM) National University of SingaporeSingapore 117576Singapore NUS Suzhou Research Institute(NUSRI) Suzhou 215123China Department of Mircroengineering and Photovoltaics Wroclaw University of Science and TechnologyWroclaw 50-370Poland Integrative Sciences and Engineering Programme(ISEP) National University of Singapore.Singapore 119077Singapore

Ion mobility analysis is a well-known analytical technique for identifying gas-phase compounds in fastresponse gas-monitoring ***,the conventional plasma discharge system is bulky,operates at a high temperature,and inappropriate for volatile organic compounds(VOCs)concentration ***,we report a machine learning(ML)-enhanced ion mobility analyzer with a triboelectric-based ionizer,which offers good ion mobility selectivity and VOC recognition ability with a small-sized device and non-strict operating *** on the charge accumulation mechanism,a multi-switched manipulation triboelectric nanogenerator(SM-TENG)can provide a direct current(DC)bias at the order of a few hundred,which can be further leveraged as the power source to obtain a unique and repeatable discharge characteristic of different VOCs,and their mixtures,with a special tip-plate electrode *** to tackle the grand challenge in the detection of multiple VOCs,the ML-enhanced ion mobility analysis method was successfully demonstrated by extracting specific features automatically from ion mobility spectrometry data with ML algorithms,which significantly enhance the detection ability of the SM-TENG based VOC analyzer,showing a portable real-time VOC monitoring solution with rapid response and low power consumption for future internet of things based environmental monitoring applications.

关键词： Machine learning Volatile organic compounds Ion mobility Triboelectric nanogenerator Plasma discharge

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老旧电梯控制主板电容寿命评估分析

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机电工程技术 2020年第11期49卷 236-237,246页

作者：孙仲达黄颖欣广东省特种设备检测研究院中山检测院广东中山528400

电梯控制主板的寿命评估一直是老旧电梯安全评估领域困扰已久的问题,而电容器的退化失效是电梯控制主板最常见的故障之一,电容的稳定性直接决定了电梯控制主板的使用寿命。介绍了电梯控制主板电容的分类,分析了电容退化失效的原因,总结... 详细信息

电梯控制主板的寿命评估一直是老旧电梯安全评估领域困扰已久的问题,而电容器的退化失效是电梯控制主板最常见的故障之一,电容的稳定性直接决定了电梯控制主板的使用寿命。介绍了电梯控制主板电容的分类,分析了电容退化失效的原因,总结了电容使用寿命的分析计算方法,对老旧电梯控制主板的电容剩余寿命进行了研究,为老旧电梯控制系统评估提供了一种新的思路。

关键词：老旧电梯电容寿命安全评估

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EPS-磷石膏复合体系浆体流变性调控研究

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硅酸盐通报 2020年第1期39卷 206-212,218页

作者：张雨薇戴绍斌马保国孙仲达李玉博武汉理工大学土木工程与建筑学院武汉430070 武汉理工大学材料科学与工程学院武汉430070

研究羟丙基甲基纤维素醚(HPMC)对发泡聚苯乙烯-磷石膏(EPS-磷石膏)复合浆体流变性、孔结构以及力学性能的影响规律。结果表明,随着HPMC掺量增加,浆体的屈服应力与塑性粘度逐渐增加,基本呈线性关系,并利用Bingham模型对浆体流变曲线进行... 详细信息

研究羟丙基甲基纤维素醚(HPMC)对发泡聚苯乙烯-磷石膏(EPS-磷石膏)复合浆体流变性、孔结构以及力学性能的影响规律。结果表明,随着HPMC掺量增加,浆体的屈服应力与塑性粘度逐渐增加,基本呈线性关系,并利用Bingham模型对浆体流变曲线进行拟合,拟合效果较好;石膏浆体的孔结构、力学性能得到改善;提出了针对EPS-磷石膏复合浆体的最佳HPMC掺量为0.20%,此时复合浆体中的EPS泡沫颗粒分布均匀,复合浆体的流动度和粘度得到改善,提高了EPS-石膏复合浆体的稳定性。

关键词： EPS-磷石膏复合材料保水剂HPMC 塑性粘度流变性孔结构力学性能

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改性硅藻土调湿性能研究及其在EPS-磷石膏体系中的应用

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硅酸盐通报 2020年第10期39卷 3286-3292页

作者：马保国杨琪孙仲达金子豪戚华辉李春豹武汉理工大学硅酸盐建筑材料国家重点实验室武汉430070

由工业固废制备轻质节能建筑材料的同时,实现其功能性,是拓宽其应用途径的重要方面。本文中使用CaCl 2溶液对硅藻土的调湿性能进行改性,并将改性硅藻土应用到EPS-磷石膏体系中。实验结果表明:当使用质量浓度为30%的CaCl 2改性时,改性硅... 详细信息

由工业固废制备轻质节能建筑材料的同时,实现其功能性,是拓宽其应用途径的重要方面。本文中使用CaCl 2溶液对硅藻土的调湿性能进行改性,并将改性硅藻土应用到EPS-磷石膏体系中。实验结果表明:当使用质量浓度为30%的CaCl 2改性时,改性硅藻土48 h吸湿率可达到192.2%,48 h放湿率为32.81%;当改性硅藻土掺量为20%时,EPS-磷石膏硬化体的吸放湿性能相对最优,但会对硬化体的强度产生一定影响;CaCl 2的使用,使硅藻土的平均孔径增大,且CaCl 2的化学吸附被认为有效提高了硅藻土的调湿能力。

关键词：磷石膏发泡聚苯乙烯硅藻土调湿功能

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EPS-磷石膏复合体系的性能优化研究

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硅酸盐通报 2020年第2期39卷 477-484页

作者：马保国胡鹏辉金子豪苏英卢文达孙仲达武汉理工大学硅酸盐建筑材料国家重点实验室武汉430070 湖北工业大学土木建筑与环境学院武汉430068

利用发泡聚苯乙烯(EPS)和磷石膏制备轻质板材具有节能、保温、吸声、调湿等诸多优点。但在成型中,由于EPS密度小且憎水,不易被石膏浆体润湿包裹,出现分层离析,导致和易性不良。为了改善EPS-磷石膏体系中EPS颗粒与磷石膏界面的粘结性能... 详细信息

利用发泡聚苯乙烯(EPS)和磷石膏制备轻质板材具有节能、保温、吸声、调湿等诸多优点。但在成型中,由于EPS密度小且憎水,不易被石膏浆体润湿包裹,出现分层离析,导致和易性不良。为了改善EPS-磷石膏体系中EPS颗粒与磷石膏界面的粘结性能和力学性能,采用三乙醇胺、聚乙烯醇及乙烯-醋酸乙烯酯对EPS进行表面改性并采用三类工艺实现硫铝酸盐水泥对EPS的造壳。通过测试接触角和粘结强度发现,当三乙醇胺∶乙烯-醋酸乙烯酯为1∶1时,改性效果最好,改性陈化分散工艺对硬化体强度的增强效果最优。试验结果为进一步拓宽磷石膏-EPS复合体系的应用提供了技术参考。

关键词：磷石膏 EPS 表面改性造壳

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