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Kumar A, Gupta V, Malik P, Ram S, Mandal D. Electrospun polarity-controlled molecular orientation for synergistic performance of an artifact-free piezoelectric anisotropic sensor. MATERIALS HORIZONS 2024; 11:4424-4437. [PMID: 38953680 DOI: 10.1039/d4mh00540f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Anisotropy in mechanical, optical and thermal sensors in a spatial direction has many applications in health care, robotics, aerospace, and tissue engineering. In particular, wearable and implantable sensors respond to stretching and bending strains that probe mechanical energy and track physiological signals. Hence, the development of anisotropic pressure sensors with true piezoelectric (PE) signals is of utmost importance to achieve efficient devices. Herein, a simple and efficient method is developed for high longitudinal and transverse responses, with an approach to isolating a true piezoelectric signal. The electrospun (ES) polarity of oriented dipoles inside flexible fibers gives rise to a high longitudinal/transverse PE response of both lateral and transverse strains. Nanofibers of poly(vinylidene-chlorotrifluoroethylene) copolymers contain poled dipoles, up to 86%, that promote an enhanced PE coefficient of 42 pm V-1 in the case of negative polarity-based electrospinning. It is 40% higher in composition than the commonly adopted positive polarity-biased electrospinning process. We demonstrated the advantage of such a high PE coefficient by the enhanced sensitivity of the longitudinal (VLs = 0.3 V kPa-1, ILs = 0.07 μA kPa-1) as well as transverse (VTs = 1.0 V kPa-1, ITs = 0.8 μA kPa-1) PE response. To counter the ambiguity of high transverse response as compared to longitudinal in electrospun fiber-based devices, a facile method is proposed to isolate the ferroelectret, triboelectric and piezoelectric signals in a fiber-based hybrid device with their independent charge generation mechanisms.
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Affiliation(s)
- Ajay Kumar
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali 140306, India
| | - Varun Gupta
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali 140306, India
| | - Pinki Malik
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali 140306, India
| | - Shanker Ram
- Materials Science Centre, Indian Institute of Technology, Kharagpur, 721 302 WB, India.
| | - Dipankar Mandal
- Quantum Materials and Devices Unit, Institute of Nano Science and Technology, Knowledge City, Sector 81, Mohali 140306, India
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2
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Wang W, Zhang Y, Wu G, Zhao Z, Wu Y, Zheng H. Triboelectric-electromagnetic hybrid nanogenerator for harvesting blue energy and creating an ocean wave warning system. NANOSCALE ADVANCES 2024; 6:3566-3572. [PMID: 38989526 PMCID: PMC11232546 DOI: 10.1039/d4na00222a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 05/06/2024] [Indexed: 07/12/2024]
Abstract
The abundant water wave energy on Earth stands as one of the most promising renewable blue energy sources, as it exhibits minimal dependence on weather, time and temperature. However, the low fluctuation frequency and extremely irregular nature of the wave energy restrict both the methods and efficiency of energy harvesting. In this study, a packed box-like hybrid nanogenerator was designed, comprising two single-electrode triboelectric nanogenerators (TENGs) and two electromagnetic generators (EMGs). The outputs of both the TENG and EMG were demonstrated under different fluctuation frequencies and swing amplitudes, inspiring the development of a wave warning system. The maximum output voltage, current, and transferred charge of the single TENG, as part of hybrid nanogenerator (HG), reach approximately 110 V, 2.3 μA, and 50 nC, respectively. Its peak power reaches 85.3 μW under a resistance load of 20 MΩ at a frequency of 2 Hz. The EMG component produced maximum output voltages and currents of up to 0.45 V and 1.2 mA, respectively. The peak power is approximately 95.6 μW with a resistance load of 200 Ω. The output performances of the TENG and EMG increase linearly with the increase in the swing angle. Most importantly, a packed box-like hybrid nanogenerator can be conveniently packaged for harvesting energy from water waves. A wave energy collection array floating on the sea is proposed for harvesting blue energy and creating a self-powered ocean wave warning system.
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Affiliation(s)
- Weichao Wang
- School of Science, Xuchang University Xuchang 461000 China
| | - Yaju Zhang
- International Joint Research Laboratory of New Energy Materials and Devices of Henan Province, School of Physics and Electronics, Henan University Kaifeng 475004 China
| | - Guoxi Wu
- School of Science, Xuchang University Xuchang 461000 China
| | - Zhengyin Zhao
- School of Science, Xuchang University Xuchang 461000 China
| | - Yonghui Wu
- International Joint Research Laboratory of New Energy Materials and Devices of Henan Province, School of Physics and Electronics, Henan University Kaifeng 475004 China
| | - Haiwu Zheng
- International Joint Research Laboratory of New Energy Materials and Devices of Henan Province, School of Physics and Electronics, Henan University Kaifeng 475004 China
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3
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Xu Z, Chen L, Zhang Z, Han J, Chen P, Hong Z, Jiang T, Wang ZL. Durable Roller-Based Swing-Structured Triboelectric Nanogenerator for Water Wave Energy Harvesting. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2307288. [PMID: 37997215 DOI: 10.1002/smll.202307288] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/21/2023] [Indexed: 11/25/2023]
Abstract
Ocean energy is a kind of clean and renewable energy source, but it cannot be efficiently harvested by traditional electromagnetic generators, due to its low-frequency characteristic. The emergence of triboelectric nanogenerators provides a more promising technology for collecting ocean energy. In this work, a durable roller-based swing-structured triboelectric nanogenerator (RS-TENG) is designed and fabricated for low-frequency water wave energy harvesting. The rolling structure reduces the wear between triboelectric materials and improves the device's durability. After a continuous operation of 1 260 000 cycles, the attenuation of the electrical outputs of the RS-TENG is below 1.6%, exhibiting excellent durability. At the same time, the output current can arrive at 53.2 µA. Under the triggering of water waves, the RS-TENG can generate an output power of 4.27 mW, corresponding to a power density of 1.16 W m-3. After the arraying, the output performance can be doubled, so that the TENG can successfully power an environmental monitoring sensor and ensure long-term stable operation of the sensor. This work provides an effective strategy for improving the device durability, which benefits the practical applications of the TENGs in large-scale blue energy harvesting.
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Affiliation(s)
- Zhiqiang Xu
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui, 230009, P. R. China
| | - Litu Chen
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui, 230009, P. R. China
| | - Zheng Zhang
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui, 230009, P. R. China
| | - Jiajia Han
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Pengfei Chen
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Zhanyong Hong
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui, 230009, P. R. China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Tao Jiang
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Zhong Lin Wang
- CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- Georgia Institute of Technology, Atlanta, GA, 30332-0245, USA
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4
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Li Y, Luo Y, Deng H, Shi S, Tian S, Wu H, Tang J, Zhang C, Zhang X, Zha JW, Xiao S. Advanced Dielectric Materials for Triboelectric Nanogenerators: Principles, Methods, and Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2314380. [PMID: 38517171 DOI: 10.1002/adma.202314380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 03/06/2024] [Indexed: 03/23/2024]
Abstract
Triboelectric nanogenerator (TENG) manifests distinct advantages such as multiple structural selectivity, diverse selection of materials, environmental adaptability, low cost, and remarkable conversion efficiency, which becomes a promising technology for micro-nano energy harvesting and self-powered sensing. Tribo-dielectric materials are the fundamental and core components for high-performance TENGs. In particular, the charge generation, dissipation, storage, migration of the dielectrics, and dynamic equilibrium behaviors determine the overall performance. Herein, a comprehensive summary is presented to elucidate the dielectric charge transport mechanism and tribo-dielectric material modification principle toward high-performance TENGs. The contact electrification and charge transport mechanism of dielectric materials is started first, followed by introducing the basic principle and dielectric materials of TENGs. Subsequently, modification mechanisms and strategies for high-performance tribo-dielectric materials are highlighted regarding physical/chemical, surface/bulk, dielectric coupling, and structure optimization. Furthermore, representative applications of dielectric materials based TENGs as power sources, self-powered sensors are demonstrated. The existing challenges and promising potential opportunities for advanced tribo-dielectric materials are outlined, guiding the design, fabrication, and applications of tribo-dielectric materials.
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Affiliation(s)
- Yi Li
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, 430072, China
| | - Yi Luo
- Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China
| | - Haocheng Deng
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, 430072, China
| | - Shengyao Shi
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, 430072, China
| | - Shuangshuang Tian
- Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Haoying Wu
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, 430072, China
| | - Ju Tang
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, 430072, China
| | - Cheng Zhang
- Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaoxing Zhang
- Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan, Hubei, 430068, China
| | - Jun-Wei Zha
- Beijing Advanced Innovation Center for Materials Genome Engineering, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Song Xiao
- State Key Laboratory of Power Grid Environmental Protection, School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, 430072, China
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5
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Zhang C, Yuan W, Zhang B, Yang J, Hu Y, He L, Zhao X, Li X, Wang ZL, Wang J. A Rotating Triboelectric Nanogenerator Driven by Bidirectional Swing for Water Wave Energy Harvesting. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2304412. [PMID: 37649192 DOI: 10.1002/smll.202304412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/21/2023] [Indexed: 09/01/2023]
Abstract
Due to the simple installation and convenient maintenance, the floating water wave energy harvesting devices have significant economic advantages. Mass power density is the most important index to evaluate the advancement of floating wave energy harvesting devices. Herein, a self-adaptive rotating triboelectric nanogenerator (SR-TENG) with a compound pendulum and a functional gear-set is provided for wave energy harvesting. First, a compound pendulum structure with a low center of gravity and high moment of inertia is obtained by the geometric design and mechanical study. Besides, compared with the previous triboelectric nanogenerator with one-way clutch, SR-TENG can harvest twice the kinetic energy utilization through the functional gear-set. Importantly, depending on the structure design, the SR-TENG obtains the average mass power density of 45.18 mW kg-1 under low frequency driving conditions, which is about 10 times the reference electromagnetic generator with a similar structure and size. This result shows that the SR-TENG has a significant advantage in small water wave energy harvesting. These findings provide an important example of the floating water wave energy harvesting devices.
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Affiliation(s)
- Chuguo Zhang
- School of Electronic and Information Engineering, Beijing Jiaotong University, 100044, Beijing, P. R. China
| | - Wei Yuan
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083, Beijing, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, 100049, Beijing, P. R. China
| | - Baofeng Zhang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083, Beijing, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, 100049, Beijing, P. R. China
| | - Jiayi Yang
- School of Electronic and Information Engineering, Beijing Jiaotong University, 100044, Beijing, P. R. China
| | - Yuexiao Hu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083, Beijing, P. R. China
| | - Lixia He
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083, Beijing, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, 100049, Beijing, P. R. China
| | - XueJiao Zhao
- College of Mathematics and Physics, Beijing University of Chemical Technology, 100029, Beijing, P. R. China
| | - Xiuhan Li
- School of Electronic and Information Engineering, Beijing Jiaotong University, 100044, Beijing, P. R. China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083, Beijing, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, 100049, Beijing, P. R. China
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Jie Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083, Beijing, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, 100049, Beijing, P. R. China
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6
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Pang Y, Zhu X, Liu S, Lee C. A Natural Gradient Biological-Enabled Multimodal Triboelectric Nanogenerator for Driving Safety Monitoring. ACS NANO 2023; 17:21878-21892. [PMID: 37924297 DOI: 10.1021/acsnano.3c08102] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2023]
Abstract
A key element to ensuring driving safety is to provide a sufficient braking distance. Inspired by the nature triply periodic minimal surface (TPMS), a gradient and multimodal triboelectric nanogenerator (GM-TENG) is proposed with high sensitivity and excellent multimodal monitoring. The gradient TPMS structure exhibits the multi-stage stress-strain properties of typical porous metamaterials. Significantly, the multimodal monitoring capability depends on the implicit function of the defined level constant c, which directly contributes to the multimodal driving safety monitoring. The mechanical and electrical responsive behavior of the GM-TENG is analyzed to identify the applied speed, load, and working mode. In addition, optimized peak open-circuit voltage (Voc) is demonstrated for self-awareness of the braking condition. The braking distance factor (L) is conceived to construct the self-aware equation of the friction coefficient based on the integration of Voc with respect to time. Importantly, R-squared up to 94.29 % can be obtained, which improves self-aware accuracy and real-time capabilities. This natural structure and self-aware device provide an effective strategy to improve driving safety, which contributes to the improvement of road safety and presents self-powered sensing with potential applications in an intelligent transportation system.
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Affiliation(s)
- Yafeng Pang
- Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 200092, P. R. China
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- Center for Intelligent Sensors and MEMS, National University of Singapore, Block E6 #05-11, 5 Engineering Drive 1, Singapore 117608, Singapore
| | - Xingyi Zhu
- Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 200092, P. R. China
| | - Shuainian Liu
- Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 200092, P. R. China
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore
- Center for Intelligent Sensors and MEMS, National University of Singapore, Block E6 #05-11, 5 Engineering Drive 1, Singapore 117608, Singapore
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7
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Liu D, Zhang J, Cui S, Zhou L, Gao Y, Wang ZL, Wang J. Recent Progress of Advanced Materials for Triboelectric Nanogenerators. SMALL METHODS 2023; 7:e2300562. [PMID: 37330665 DOI: 10.1002/smtd.202300562] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 05/24/2023] [Indexed: 06/19/2023]
Abstract
Triboelectric nanogenerators (TENGs) have received intense attention due to their broad application prospects in the new era of internet of things (IoTs) as distributed power sources and self-powered sensors. Advanced materials are vital components for TENGs, which decide their comprehensive performance and application scenarios, opening up the opportunity to develop efficient TENGs and expand their potential applications. In this review, a systematic and comprehensive overview of the advanced materials for TENGs is presented, including materials classifications, fabrication methods, and the properties required for applications. In particular, the triboelectric, friction, and dielectric performance of advanced materials is focused upon and their roles in designing the TENGs are analyzed. The recent progress of advanced materials used in TENGs for mechanical energy harvesting and self-powered sensors is also summarized. Finally, an overview of the emerging challenges, strategies, and opportunities for research and development of advanced materials for TENGs is provided.
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Affiliation(s)
- Di Liu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Jiayue Zhang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
| | - Shengnan Cui
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Linglin Zhou
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Yikui Gao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Jie Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, P. R. China
- College of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
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8
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Choi D, Lee Y, Lin ZH, Cho S, Kim M, Ao CK, Soh S, Sohn C, Jeong CK, Lee J, Lee M, Lee S, Ryu J, Parashar P, Cho Y, Ahn J, Kim ID, Jiang F, Lee PS, Khandelwal G, Kim SJ, Kim HS, Song HC, Kim M, Nah J, Kim W, Menge HG, Park YT, Xu W, Hao J, Park H, Lee JH, Lee DM, Kim SW, Park JY, Zhang H, Zi Y, Guo R, Cheng J, Yang Z, Xie Y, Lee S, Chung J, Oh IK, Kim JS, Cheng T, Gao Q, Cheng G, Gu G, Shim M, Jung J, Yun C, Zhang C, Liu G, Chen Y, Kim S, Chen X, Hu J, Pu X, Guo ZH, Wang X, Chen J, Xiao X, Xie X, Jarin M, Zhang H, Lai YC, He T, Kim H, Park I, Ahn J, Huynh ND, Yang Y, Wang ZL, Baik JM, Choi D. Recent Advances in Triboelectric Nanogenerators: From Technological Progress to Commercial Applications. ACS NANO 2023; 17:11087-11219. [PMID: 37219021 PMCID: PMC10312207 DOI: 10.1021/acsnano.2c12458] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/20/2023] [Indexed: 05/24/2023]
Abstract
Serious climate changes and energy-related environmental problems are currently critical issues in the world. In order to reduce carbon emissions and save our environment, renewable energy harvesting technologies will serve as a key solution in the near future. Among them, triboelectric nanogenerators (TENGs), which is one of the most promising mechanical energy harvesters by means of contact electrification phenomenon, are explosively developing due to abundant wasting mechanical energy sources and a number of superior advantages in a wide availability and selection of materials, relatively simple device configurations, and low-cost processing. Significant experimental and theoretical efforts have been achieved toward understanding fundamental behaviors and a wide range of demonstrations since its report in 2012. As a result, considerable technological advancement has been exhibited and it advances the timeline of achievement in the proposed roadmap. Now, the technology has reached the stage of prototype development with verification of performance beyond the lab scale environment toward its commercialization. In this review, distinguished authors in the world worked together to summarize the state of the art in theory, materials, devices, systems, circuits, and applications in TENG fields. The great research achievements of researchers in this field around the world over the past decade are expected to play a major role in coming to fruition of unexpectedly accelerated technological advances over the next decade.
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Affiliation(s)
- Dongwhi Choi
- Department
of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, Gyeonggi 17104, South Korea
| | - Younghoon Lee
- Department
of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
- Department
of Mechanical Engineering, Soft Robotics Research Center, Seoul National University, Seoul 08826, South Korea
- Department
of Mechanical Engineering, Gachon University, Seongnam 13120, Korea
| | - Zong-Hong Lin
- Department
of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, Gyeonggi 17104, South Korea
- Department
of Biomedical Engineering, National Taiwan
University, Taipei 10617, Taiwan
- Frontier
Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Sumin Cho
- Department
of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin, Gyeonggi 17104, South Korea
| | - Miso Kim
- School
of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon 16419, Republic
of Korea
- SKKU
Institute of Energy Science and Technology (SIEST), Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
| | - Chi Kit Ao
- Department
of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, 117585, Singapore
| | - Siowling Soh
- Department
of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, 117585, Singapore
| | - Changwan Sohn
- Division
of Advanced Materials Engineering, Jeonbuk
National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeonbuk 54896, South Korea
- Department
of Energy Storage/Conversion Engineering of Graduate School (BK21
FOUR), Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeonbuk 54896, South Korea
| | - Chang Kyu Jeong
- Division
of Advanced Materials Engineering, Jeonbuk
National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeonbuk 54896, South Korea
- Department
of Energy Storage/Conversion Engineering of Graduate School (BK21
FOUR), Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju, Jeonbuk 54896, South Korea
| | - Jeongwan Lee
- Department
of Physics, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, South Korea
| | - Minbaek Lee
- Department
of Physics, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, South Korea
| | - Seungah Lee
- School
of Materials Science & Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, South Korea
| | - Jungho Ryu
- School
of Materials Science & Engineering, Yeungnam University, Gyeongsan, Gyeongbuk 38541, South Korea
| | - Parag Parashar
- Department
of Biomedical Engineering, National Taiwan
University, Taipei 10617, Taiwan
| | - Yujang Cho
- Department
of Materials Science and Engineering, Korea
Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro,
Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Jaewan Ahn
- Department
of Materials Science and Engineering, Korea
Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro,
Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Il-Doo Kim
- Department
of Materials Science and Engineering, Korea
Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro,
Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Feng Jiang
- School
of Materials Science and Engineering, Nanyang
Technological University, 50 Nanyang Avenue, 639798, Singapore
- Institute of Flexible
Electronics Technology of Tsinghua, Jiaxing, Zhejiang 314000, China
| | - Pooi See Lee
- School
of Materials Science and Engineering, Nanyang
Technological University, 50 Nanyang Avenue, 639798, Singapore
| | - Gaurav Khandelwal
- Nanomaterials
and System Lab, Major of Mechatronics Engineering, Faculty of Applied
Energy System, Jeju National University, Jeju 632-43, South Korea
- School
of Engineering, University of Glasgow, Glasgow G128QQ, U. K.
| | - Sang-Jae Kim
- Nanomaterials
and System Lab, Major of Mechatronics Engineering, Faculty of Applied
Energy System, Jeju National University, Jeju 632-43, South Korea
| | - Hyun Soo Kim
- Electronic
Materials Research Center, Korea Institute
of Science and Technology (KIST), Seoul 02792, Republic of Korea
- Department
of Physics, Inha University, Incheon 22212, Republic of Korea
| | - Hyun-Cheol Song
- Electronic
Materials Research Center, Korea Institute
of Science and Technology (KIST), Seoul 02792, Republic of Korea
- KIST-SKKU
Carbon-Neutral Research Center, Sungkyunkwan
University (SKKU), Suwon 16419, Republic
of Korea
| | - Minje Kim
- Department
of Electrical Engineering, College of Engineering, Chungnam National University, 34134, Daehak-ro, Yuseong-gu, Daejeon 34134, South Korea
| | - Junghyo Nah
- Department
of Electrical Engineering, College of Engineering, Chungnam National University, 34134, Daehak-ro, Yuseong-gu, Daejeon 34134, South Korea
| | - Wook Kim
- School
of Mechanical Engineering, College of Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
| | - Habtamu Gebeyehu Menge
- Department
of Mechanical Engineering, College of Engineering, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin, Gyeonggi 17058, Republic of Korea
| | - Yong Tae Park
- Department
of Mechanical Engineering, College of Engineering, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin, Gyeonggi 17058, Republic of Korea
| | - Wei Xu
- Research
Centre for Humanoid Sensing, Zhejiang Lab, Hangzhou 311100, P. R. China
| | - Jianhua Hao
- Department
of Applied Physics, The Hong Kong Polytechnic
University, Hong Kong, P.R. China
| | - Hyosik Park
- Department
of Energy Science and Engineering, Daegu
Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea
| | - Ju-Hyuck Lee
- Department
of Energy Science and Engineering, Daegu
Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Republic of Korea
| | - Dong-Min Lee
- School
of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon 16419, Republic
of Korea
| | - Sang-Woo Kim
- School
of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon 16419, Republic
of Korea
- SKKU
Institute of Energy Science and Technology (SIEST), Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
- Samsung
Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, 115, Irwon-ro, Gangnam-gu, Seoul 06351, South Korea
- SKKU
Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
| | - Ji Young Park
- School
of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon 16419, Republic
of Korea
| | - Haixia Zhang
- National
Key Laboratory of Science and Technology on Micro/Nano Fabrication;
Beijing Advanced Innovation Center for Integrated Circuits, School
of Integrated Circuits, Peking University, Beijing 100871, China
| | - Yunlong Zi
- Thrust
of Sustainable Energy and Environment, The
Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangdong 511400, China
| | - Ru Guo
- Thrust
of Sustainable Energy and Environment, The
Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangdong 511400, China
| | - Jia Cheng
- State
Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical
Engineering, Tsinghua University, Beijing 100084, China
| | - Ze Yang
- State
Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical
Engineering, Tsinghua University, Beijing 100084, China
| | - Yannan Xie
- College
of Automation & Artificial Intelligence, State Key Laboratory
of Organic Electronics and Information Displays & Institute of
Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu
National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, China
| | - Sangmin Lee
- School
of Mechanical Engineering, Chung-ang University, 84, Heukseok-ro, Dongjak-gu, Seoul 06974, South Korea
| | - Jihoon Chung
- Department
of Mechanical Design Engineering, Kumoh
National Institute of Technology (KIT), 61 Daehak-ro, Gumi, Gyeongbuk 39177, South Korea
| | - Il-Kwon Oh
- National
Creative Research Initiative for Functionally Antagonistic Nano-Engineering,
Department of Mechanical Engineering, School of Mechanical and Aerospace
Engineering, Korea Advanced Institute of
Science and Technology (KAIST), Daejeon 34141, South Korea
| | - Ji-Seok Kim
- National
Creative Research Initiative for Functionally Antagonistic Nano-Engineering,
Department of Mechanical Engineering, School of Mechanical and Aerospace
Engineering, Korea Advanced Institute of
Science and Technology (KAIST), Daejeon 34141, South Korea
| | - Tinghai Cheng
- Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
| | - Qi Gao
- Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
| | - Gang Cheng
- Key
Lab for Special Functional Materials, Ministry of Education, National
& Local Joint Engineering Research Center for High-efficiency
Display and Lighting Technology, School of Materials Science and Engineering,
and Collaborative Innovation Center of Nano Functional Materials and
Applications, Henan University, Kaifeng 475004, China
| | - Guangqin Gu
- Key
Lab for Special Functional Materials, Ministry of Education, National
& Local Joint Engineering Research Center for High-efficiency
Display and Lighting Technology, School of Materials Science and Engineering,
and Collaborative Innovation Center of Nano Functional Materials and
Applications, Henan University, Kaifeng 475004, China
| | - Minseob Shim
- Department
of Electronic Engineering, College of Engineering, Gyeongsang National University, 501, Jinjudae-ro, Gaho-dong, Jinju 52828, South Korea
| | - Jeehoon Jung
- Department
of Electrical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology
(UNIST), 50, UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, South Korea
| | - Changwoo Yun
- Department
of Electrical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology
(UNIST), 50, UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, South Korea
| | - Chi Zhang
- CAS
Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano
Energy and Sensor, Beijing Institute of
Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Guoxu Liu
- CAS
Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano
Energy and Sensor, Beijing Institute of
Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
| | - Yufeng Chen
- Department
of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Suhan Kim
- Department
of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Xiangyu Chen
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
- CAS
Center for Excellence in Nanoscience, Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083 Beijing, China
| | - Jun Hu
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
- CAS
Center for Excellence in Nanoscience, Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083 Beijing, China
| | - Xiong Pu
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
- CAS
Center for Excellence in Nanoscience, Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083 Beijing, China
| | - Zi Hao Guo
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
- CAS
Center for Excellence in Nanoscience, Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, 100083 Beijing, China
| | - Xudong Wang
- Department
of Materials Science and Engineering, University
of Wisconsin−Madison, Madison, Wisconsin 53706, United States
| | - Jun Chen
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Xiao Xiao
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Xing Xie
- School
of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Mourin Jarin
- School
of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Hulin Zhang
- College
of Information and Computer, Taiyuan University
of Technology, Taiyuan 030024, P. R. China
| | - Ying-Chih Lai
- Department
of Materials Science and Engineering, National
Chung Hsing University, Taichung 40227, Taiwan
- i-Center
for Advanced Science and Technology, National
Chung Hsing University, Taichung 40227, Taiwan
- Innovation
and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung 40227, Taiwan
| | - Tianyiyi He
- Department
of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117576, Singapore
| | - Hakjeong Kim
- School
of Mechanical Engineering, College of Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
| | - Inkyu Park
- Department
of Mechanical Engineering, Korea Advanced
Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Junseong Ahn
- Department
of Mechanical Engineering, Korea Advanced
Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Nghia Dinh Huynh
- School
of Mechanical Engineering, College of Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
| | - Ya Yang
- CAS
Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano
Energy and Sensor, Beijing Institute of
Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
- Center
on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning 530004, P. R. China
| | - Zhong Lin Wang
- Beijing
Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China
- School
of Nanoscience and Technology, University
of Chinese Academy of Sciences, Beijing 100049, China
- School
of Materials Science and Engineering, Georgia
Institute of Technology, Atlanta, Georgia 30332, United States
| | - Jeong Min Baik
- School
of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon 16419, Republic
of Korea
- SKKU
Institute of Energy Science and Technology (SIEST), Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
- KIST-SKKU
Carbon-Neutral Research Center, Sungkyunkwan
University (SKKU), Suwon 16419, Republic
of Korea
| | - Dukhyun Choi
- SKKU
Institute of Energy Science and Technology (SIEST), Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
- School
of Mechanical Engineering, College of Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi 16419, South Korea
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9
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Wang W, Yang D, Yan X, Wang L, Hu H, Wang K. Triboelectric nanogenerators: the beginning of blue dream. Front Chem Sci Eng 2023. [DOI: 10.1007/s11705-022-2271-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
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10
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Yan W, Liu Y, Cao LNY, Jiang T, Chen B, Tang W. Asymmetric-Internal-Capacitance-Induced Charge Aggregation for the Hot-Surface Triboelectric Nanogenerator. ACS APPLIED MATERIALS & INTERFACES 2022; 14:56827-56835. [PMID: 36519555 DOI: 10.1021/acsami.2c17722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Surface charge density (σSC) is essential to the output of the triboelectric nanogenerator (TENG). Massive efforts have been made to improve it, which can be totally categorized into four types. Two of them are utilized to optimize the basic electrification of the TENG, and the other two are for the device configuration and following circuits. However, the basic electrification of the 100 μm-thick film under ambient conditions still stays below 200 μC m-2. Herein, we proposed a brand-new technical route, by designing an asymmetric-internal-capacitance configuration, which forms a "hot surface" rich in free electrons at the electrification interface and finally promotes σSC to 550 μC m-2. Specifically, σSC of Cu is improved by 35 times, reaching 9.48 times that of nylon that is reported to be a strong positive triboelectric material. Furthermore, the hot surface improves the output of the TENG by 12.8 times and drives multiple devices floating in water to work stably, showing great potential in harvesting water wave energy (blue energy).
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Affiliation(s)
- Wenjie Yan
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China
- College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yuan Liu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Leo N Y Cao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Tao Jiang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Baodong Chen
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
- Institute of Applied Nanotechnology, Jiaxing, Zhejiang 314031, P. R. China
| | - Wei Tang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
- Institute of Applied Nanotechnology, Jiaxing, Zhejiang 314031, P. R. China
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11
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Xin C, Xu Z, Gong Y, Guo H, Li Z, Ding J, Xie S. A cantilever-structure triboelectric nanogenerator for energy harvesting and defect detection via long short-term memory network. iScience 2022; 25:105673. [PMID: 36505923 PMCID: PMC9730220 DOI: 10.1016/j.isci.2022.105673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/21/2022] [Accepted: 11/22/2022] [Indexed: 11/27/2022] Open
Abstract
The electric signals of cantilever energy harvesting devices with/without a crack were mainly obtained by external sensors, so detecting device damage on a large scale is difficult. To tackle the issue, a cantilever-structure freestanding triboelectric nanogenerator (CSF-TENG) device was proposed, which can scavenge ambient energy and act as a self-powered sensor. Firstly, the relation between the peak-to-peak voltage and amplitude of the CSF-TENG was established. Next, the output performance of the CSF-TENG was measured. Then, depending on electric signals output by the CSF-TENG, a cantilever defect identification model was built by using the wavelet packet and long short-term memory (LSTM) algorithms. The experimental results manifest that the accuracy of the model is about 98.6%. Thus, the CSF-TENG with a crack can be detected timely due to its self-monitoring ability, which is of great significance for the development of self-powered sensor networks.
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Affiliation(s)
- Chuanfu Xin
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China
| | - Zifeng Xu
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China
| | - Ying Gong
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China,Engineering Research Center of Unmanned Intelligent Marine Equipment, Shanghai University, Shanghai 200444, P.R. China
| | - Hengyu Guo
- Department of Applied Physics, Chongqing University, Chongqing 400044, P.R. China
| | - Zhongjie Li
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China,Engineering Research Center of Unmanned Intelligent Marine Equipment, Shanghai University, Shanghai 200444, P.R. China,Corresponding author
| | - Jiheng Ding
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China,Corresponding author
| | - Shaorong Xie
- School of Computer Engineering and Science, Shanghai University, Shanghai 200444, P.R. China,Corresponding author
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12
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Wei Y, Liu W, Yu J, Li Y, Wang Y, Huo Z, Cheng L, Feng Z, Sun J, Sun Q, Wang ZL. Triboelectric Potential Powered High-Performance Organic Transistor Array. ACS NANO 2022; 16:19199-19209. [PMID: 36354955 DOI: 10.1021/acsnano.2c08420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Triboelectric potential gated transistors have inspired various applications toward mechanical behavior controlled logic circuits, multifunctional sensors, artificial sensory neurons, etc. Their rapid development urgently calls for high-performance devices and corresponding figure of merits to standardize the tribotronic gating properties. Organic semiconductors paired with solution processability promise low-cost manufacture of high-performance tribotronic transistor devices/arrays. Here, we demonstrate a record high-performance tribotronic transistor array composed of an integrated triboelectric nanogenerator (TENG) and a large-area device array of C8-BTBT-PS transistors. The working mechanism of effective triboelectric potential gating is elaborately explained from the aspect of conjugated energy bands of the contact-electrification mediums and organic semiconductors. Driven by the triboelectric potential, the tribotronic transistor shows superior properties of record high current on/off ratios (>108), a steep subthreshold swing (29.89 μm/dec), high stability, and excellent reproducibility. Moreover, tribotronic logic devices modulated by mechanical displacement have also been demonstrated with good stability and a high gain of 1260 V/mm. The demonstrated large-area tribotronic transistor array of organic semiconductor exhibits record high performance and offers an effective R&D platform for mechano-driven electronic terminals, interactive intelligent system, artificial robotic skin, etc.
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Affiliation(s)
- Yichen Wei
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004, P. R. China
| | - Wanrong Liu
- Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, 410083, P. R. China
- Hunan Key Laboratory of Nanophotonics and Devices, School of Physics and Electronics, Central South University, Changsha, 410083, P. R. China
| | - Jinran Yu
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Yonghai Li
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004, P. R. China
| | - Yifei Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Ziwei Huo
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Liuqi Cheng
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Zhenyu Feng
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing100049, P. R. China
| | - Jia Sun
- Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, 410083, P. R. China
- Hunan Key Laboratory of Nanophotonics and Devices, School of Physics and Electronics, Central South University, Changsha, 410083, P. R. China
| | - Qijun Sun
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004, P. R. China
- School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing100049, P. R. China
- Shandong Zhongke Naneng Energy Technology Co., Ltd., Dongying, 257061, P. R. China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing101400, P. R. China
- Georgia Institute of Technology, Atlanta, Georgia30332-0245, United States
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13
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Sun Z, Chen H, Wu M, Yang W, Zhao J, Wang Z, Guo S, Wang H, Wang W, Wang J. A Flexible Triboelectric Nanogenerator Based on Multilayer MXene/Cellulose Nanofibril Composite Film for Patterned Electroluminescence Display. MATERIALS (BASEL, SWITZERLAND) 2022; 15:6770. [PMID: 36234111 PMCID: PMC9571373 DOI: 10.3390/ma15196770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
The flexible self-powered display system integrating a flexible triboelectric nanogenerator (TENG) and flexible alternating current electroluminescence (ACEL) has attracted increasing attention for its promising potential in human-machine interaction applications. In this work, a performance-enhanced MXene/cellulose nanofibril (CNF)/MXene-based TENG (MCM-TENG) is reported for powering a flexible patterned ACEL device in order to realize self-powered display. The MCM multilayer composite film was self-assembled through the layer-by-layer method. The MCM film concurrently acted as a triboelectric layer and electrode layer due to its high conductivity and strength. Moreover, the effect of CNF concentration and number of layers on the output performance of TENG was investigated. It was found that the MCM-TENG realized the optimum output performance. Finally, a flexible self-powered display device was realized by integrating the flexible TENG and ACEL. The MCM-TENG with an output voltage of ≈90 V at a frequency of 2 Hz was found to be efficient enough to power the ACEL device. Therefore, the as-fabricated flexible TENG demonstrates a promising potential in terms of self-powered displays and human-machine interaction.
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Affiliation(s)
- Zhaoyang Sun
- School of Materials Science and Engineering, Fujian University of Technology, Fuzhou 350118, China
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Huamin Chen
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Mingqiang Wu
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Wei Yang
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Jiang Zhao
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Zefeng Wang
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Shujun Guo
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
| | - Huining Wang
- Faculty of Science and Engineering, The University of Nottingham Ningbo China, Ningbo 315104, China
| | - Weiguo Wang
- School of Materials Science and Engineering, Fujian University of Technology, Fuzhou 350118, China
| | - Jun Wang
- College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
- Fujian Key Laboratory of Functional Marine Sensing Materials, College of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China
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14
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Han Q, Jiang Z, Shao Q, Gao S, Chu F. Electromechanical Modeling of Rolling Spherical Triboelectric Nanogenerators Considering Nonlinear Effects. ADVANCED THEORY AND SIMULATIONS 2022. [DOI: 10.1002/adts.202200373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Qinkai Han
- The State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing 100084 China
| | - Ziyuan Jiang
- The State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing 100084 China
| | - Qingyang Shao
- The State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing 100084 China
| | - Shuai Gao
- Department of Mechanical Engineering Politecnico di Milano Via G. La Masa 1 Milan 20156 Italy
| | - Fulei Chu
- The State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing 100084 China
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