Article
Chemistry, Physical
Ming Yuan, Wenping Yu, Yawei Jiang, Zhenjun Ding, Zifeng Zhang, Xueyong Zhang, Yannan Xie
Summary: This work proposes a metamaterial-inspired triboelectric nanogenerator (META-TENG) that can simultaneously achieve vibration suppression and energy harvesting. By introducing multi-walled carbon nanotubes, the output performance is significantly enhanced, and satisfying vibration suppression performance is demonstrated.
Article
Chemistry, Physical
Hao Lei, Jie Xiao, Yunfeng Chen, Jiwei Jiang, Renjie Xu, Zhen Wen, Bin Dong, Xuhui Sun
Summary: The study presents a self-powered triboelectric sensor inspired by bamboo, with high sensitivity and wide detection range, fabricated using 3D printing and freeze-drying processes. By incorporating unique bamboo-joint microstructures, the sensor is capable of detecting ultra-low pressures and has an ultra-fast response time.
Review
Chemistry, Multidisciplinary
Yuanjie Su, Guorui Chen, Chunxu Chen, Qichen Gong, Guangzhong Xie, Mingliang Yao, Huiling Tai, Yadong Jiang, Jun Chen
Summary: TENG-based self-powered respiration monitoring is widely adopted due to its features of biocompatibility, comfort, low-cost and high sensitivity, enabling precise and continuous monitoring of physiological respiration behaviors and exhaled chemical regents for personalized health care.
ADVANCED MATERIALS
(2021)
Article
Engineering, Environmental
Chuan Ning, Kai Dong, Wenchao Gao, Feifan Sheng, Renwei Cheng, Yang Jiang, Jia Yi, Cuiying Ye, Xiao Peng, Zhong Lin Wang
Summary: Textiles, considered as the second skin of human beings, play a crucial role in thermal management. A novel smart fiber, utilizing a hollow silicone rubber fiber filled with liquid metal electrode, has been developed to achieve dual functions of thermal regulation and pressure sensing.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Chemistry, Physical
Cong Zhao, Dehua Liu, Yawei Wang, Zhiyuan Hu, Qiqi Zhang, Ziyi Zhang, Hao Wang, Taili Du, Yongjiu Zou, Haichao Yuan, Xinxiang Pan, Jianchun Mi, Minyi Xu
Summary: A novel triboelectric nanogenerator (R-TENG) has been proposed for monitoring the mechanical loads of marine structures. The R-TENG shows good sensitivity and stability in response to various mechanical stimuli and high humidity environments.
Review
Chemistry, Physical
Austin Chang, Cameron Uy, Xiao Xiao, Jun Chen
Summary: This article reviews the recent progress of triboelectric nanogenerators in environmental monitoring, with a focus on their applications in air, soil, and water chemical sensing. The technology is of great significance in self-powered environmental monitoring.
Article
Chemistry, Multidisciplinary
Wanglin Zhang, Jiamin Zhao, Chenchen Cai, Ying Qin, Xiangjiang Meng, Yanhua Liu, Shuangxi Nie
Summary: In this study, a highly adsorbent gas-sensitive cellulose nanofibril-based triboelectric material is prepared and applied to self-powered gas sensing. A novel strategy for designing and preparing high-performance gas-sensitive composites is provided.
Article
Chemistry, Physical
Yuhan Qin, Xianpeng Fu, Yuan Lin, Zheng Wang, Jie Cao, Chi Zhang
Summary: This study proposes a self-powered IoT sensing node based on a triboelectric nanogenerator (TENG) for sustainable environmental monitoring. The TENG, powered by wind energy, converts weak electrical energy into a stable direct current (DC) 2.5V voltage to operate the IoT sensing node. The node can activate when the storage energy exceeds 4.4V, and the monitoring data is transmitted to the IoT cloud platform using narrowband IoT (NB-IoT) module. This work offers a universal strategy for sustainable IoT sensing nodes powered by environmental micro-nano mechanical energy, with potential applications in IoT, big data, and environmental monitoring.
Review
Chemistry, Multidisciplinary
Gaurav Khandelwal, Ravinder Dahiya
Summary: The demand for portable and wearable chemical or biosensors has led to the exploration of mechanical energy harvesters such as piezoelectric and triboelectric generators (TEGs) as sensors or energy harvesters. TEGs have the potential to be used in a wide variety of materials and can convert mechanical energy to electricity, making them promising for autonomous chemical and biological sensors. This review focuses on the applications and development of TEGs as self-powered active chemical and biological sensors, and discusses the influence of environmental factors, various figures of merit, and the significance of TEG design.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Physical
Dekuan Zhu, Jiangfeng Lu, Mingjie Zheng, Dongkai Wang, Jianyu Wang, Yixin Liu, Xiaohao Wang, Min Zhang
Summary: In this study, a self-powered bionic antenna (SBA) was developed to mimic the structure and function of insect antenna for robotic tactile sensing. The SBA uses a triboelectric nanogenerator technology to convert mechanical stimuli into voltage signal without the need for external power source, and can identify different contact materials. To imitate the active sensing performance of insect antenna, a two-stage actuator was integrated into the SBA, enabling active sensing in both horizontal and vertical planes. The lightweight and drivable design of SBA makes it highly compatible with micro soft robots and a promising solution for future robotic tactile systems.
Article
Green & Sustainable Science & Technology
Ping Zhang, Lu Deng, Honghao Zhang, Pengfei Li, Weikang Zhang
Summary: With advancements in technology and improvements in quality of life, the generation of household waste has led to resource waste and environmental pollution. Additionally, there is growing demand for sustainable energy supply for wearable devices. Recycling and utilizing waste materials to create energy harvesting devices is therefore crucial.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Chemistry, Multidisciplinary
Yutao Hao, Jing Wen, Xiaobo Gao, Ding Nan, Juan Pan, Yuhan Yang, Baodong Chen, Zhong Lin Wang
Summary: This study presents a flexible self-rebound cambered triboelectric nanogenerator for self-powered sensing in equestrian sports. The nanogenerator has superior resiliency and stability, and can provide fast response time and real-time statistics data.
Article
Chemistry, Multidisciplinary
Wanglin Zhang, Yanxu Lu, Tao Liu, Jiamin Zhao, Yanhua Liu, Qiu Fu, Jilong Mo, Chenchen Cai, Shuangxi Nie
Summary: By controlling the deformation of the spinning jet and the phase separation during electrostatic spinning, a composite film with multiple physical network structures was prepared and used as the triboelectric material of a self-powered contactless sensor. The composite film exhibited high output performance and stability, accurately identifying different motion states.
Article
Chemistry, Multidisciplinary
Baosen Zhang, Sheng Zhang, Wenbo Li, Qi Gao, Da Zhao, Zhong Lin Wang, Tinghai Cheng
Summary: This paper proposes a self-powered energy collection method based on triboelectric nanogenerator and electromagnetic generator, and designs a sensor device capable of measuring wind speed, wind direction, and collecting meteorological information, solving the power supply problem of IoT and sensors in the field of smart agriculture.
Article
Materials Science, Multidisciplinary
Long Jin, Steven L. Zhang, Sixing Xu, Hengyu Guo, Weiqing Yang, Zhong Lin Wang
Summary: The innovative design of free-fixed TENG utilizes magnets to fix the stator, without causing serious negative impact on the wheel, while generating high short-circuit current and open-circuit voltage. Additionally, it demonstrates superior robustness in vibration environment.
ADVANCED MATERIALS TECHNOLOGIES
(2021)
Article
Engineering, Multidisciplinary
Yang An, Xueyan Ma, Xiaocen Wang, Zhigang Qu, Xixin Zhu, Wuliang Yin
Summary: Active acoustic pulse-compression technology and one-dimensional convolutional neural network were introduced for the detection and classification of pipeline anomalies, demonstrating significant improvement in efficiency and accuracy compared to traditional methods.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Instruments & Instrumentation
Gang Hu, Ruochen Huang, Yuchun Shao, Wuliang Yin
Summary: In this paper, a triple-coil sensor is proposed to address the issue of lift-off variation in the eddy current measurement method. The peak frequency feature is utilized to linearly determine the thickness of metallic balls and reduce the impact of lift-off during measurements. The effectiveness of this approach is verified through both simulation and experimental results.
Article
Engineering, Multidisciplinary
Haoze Chen, Zhijie Zhang, Wuliang Yin, Chenyang Zhao, Fengxiang Wang, Yanfeng Li
Summary: The study explored the use of hyper-parameter search in defect depth classification, analyzed the impact of different defect depths on heat transfer to the metal surface, and proposed two time-series temperature features.
Article
Engineering, Multidisciplinary
Pu Huang, Hang Pu, Yiqing Ding, Zhengyong Li, Wuliang Yin, Lijun Xu, Yuedong Xie
Summary: A novel Gauss-pulse-modulation eddy current (GPMEC) method is proposed in this paper to enhance the sensitivity of sensor. By utilizing frequency analysis of the energy excited by the excitation coil and the Gauss window function applied to the pulse-modulation signal, the energy distribution and detection performance are further improved.
Article
Materials Science, Characterization & Testing
Haoze Chen, Zhijie Zhang, Wuliang Yin, Quan Wang, Yanfeng Li, Chenyang Zhao
Summary: In this paper, the shape characterization and depth identification of surface defects on carbon fiber reinforced polymer (CFRP) are investigated using reflective and transmissive line laser infrared thermography nondestructive inspection systems. The feasibility of the work is verified through simulation, and the temperature variation of surface defects is analyzed through experimental schemes. The size of the defect is deduced from the scan of the line laser to characterize its shape. To achieve defect depth classification, the grey wolf optimization algorithm is used to optimize the hyper-parameters in the support vector machine. The results show high accuracy in defect characterization and depth classification.
NDT & E INTERNATIONAL
(2022)
Article
Chemistry, Analytical
Dong Wang, Zhijie Zhang, Wuliang Yin, Haoze Chen, Huidong Ma, Guangyu Zhou, Yuchen Zhang
Summary: In this study, a method for classifying nonmagnetic metals based on eddy current testing technology is proposed. By analyzing the physical model of an electromagnetic sensor, a feature related to conductivity is obtained, and a linear relationship between this feature and lift-off height is derived, improving the accuracy and efficiency of the classification system.
Article
Engineering, Electrical & Electronic
Zihan Xia, Jiangjiang Yan, Ruochen Huang, Mingyang Lu, Ziqiang Cui, Anthony Peyton, Wuliang Yin, Wuqiang Yang
Summary: In this study, a simplified analytical model for metallic pipes surrounded by a coaxial sensor is derived using asymptotic forms of modified Bessel functions. The model approximates the original Dodd and Deeds (DD) model with a simple function that describes the relationship between the measured inductance spectrum and the pipe properties. A fast Newton-Raphson method-based optimization approach is developed, which is evaluated against numerical simulation and experimental measurements, demonstrating its effectiveness for measuring metallic pipe properties.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Ronghua Zhang, Hongying Fang, Qiong Zhang, Junyu Wang, Danqi Zhang, Junhua Cheng, Wuliang Yin
Summary: In this article, a framework for in situ damage detection of CFRPs is proposed, which includes the design of an EMT sensor and an absolute image reconstruction method. The proposed method, cmt-SDM, overcomes the ill-posed problem in absolute image reconstruction and shows better performance compared to the traditional SDM method. The results demonstrate the effectiveness of the proposed framework in monitoring and evaluating the local damage of CFRP specimens.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Review
Chemistry, Analytical
Zihan Xia, Ruochen Huang, Ziqi Chen, Kuohai Yu, Zhijie Zhang, Jorge Ricardo Salas-Avila, Wuliang Yin
Summary: In this review, recent developments in Eddy current (EC) computational models, systems, algorithms, and measurement approaches for planar structures are summarized. The computational models, impedance measurement system, and probes are introduced, and defect detection for metallic plates is discussed.
Article
Engineering, Electrical & Electronic
Yuchun Shao, Tian Meng, Kuohai Yu, Zihan Xia, Ruochen Huang, Yang Tao, Ziqi Chen, Jorge Ricardo Salas Avila, Wuliang Yin
Summary: The fatigue cracking in riveted lap joints on aircraft could have serious consequences for flight safety. Prior inspection of the second layer of the aircraft structure with the removal of rivets is necessary for safety reasons. Methods such as radiographic and ultrasonic testing are widely used but require expensive equipment and professional operators. This paper presents an optimized hand-held eddy current (EC) sensor array for non-destructive testing (NDT) inspection, which offers a low-cost and safe alternative.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Gang Hu, Zihan Xia, Wuliang Yin, Ruochen Huang, Jialong Shen, Shiyu Liu, Ronghua Zhang
Summary: In this study, the measurement of thickness and radius of nonmagnetic spherical shells is simplified and accelerated using the eddy-current testing technique. The proposed method provides accurate spherical shell radii with less computational time compared with the original analytical model, as demonstrated in numerical simulation and experimental study.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Pu Huang, Zhenyu Bao, Ruochen Huang, Jieshu Jia, Kuanyao Liu, Xing Yu, Wuliang Yin, Yuedong Xie
Summary: This article proposes a method that combines sweep frequency eddy current measurement with machine learning to estimate the permeability, conductivity, thickness, and lift-off of metallic plates simultaneously. The method involves characteristic extractions and a data-driven machine learning model. The proposed method uses machine learning modeling to decouple and accurately invert the parameters of metallic plates, which are inherently coupled together. The results demonstrate that the proposed method can accurately estimate the parameters of metallic plates with relative errors within 3.5%.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Saibo She, Xinnan Zheng, Tian Meng, Kuohai Yu, Wuliang Yin
Summary: This article proposes a novel four-coil excitation sensor to effectively suppress the lift-off effect when detecting defects of varying depths in planar structures. The sensor design leverages opposite excitation directions between adjacent excitation coils to cancel out the lift-off signal. However, this design has angular sensitivity, making it difficult to identify the depth of defects without knowing the angle prior. To overcome this challenge, deep learning models are introduced as a potential solution.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Lei Xiong, Zihan Xia, Ruochen Huang, Shupei Wang, Xinnan Zheng, Jialong Shen, Xiaochu Pang, Wuliang Yin
Summary: This study introduces the pulsed eddy-current (PEC) method to characterize the electromagnetic property profile along the depth of thick steel plates. The low-frequency square-wave signal enables PEC to reflect multilayer characteristics in a single measurement with good penetration ability. An explicit analytical equation for calculating the time-domain PEC response is derived. A custom PEC system has been designed and built, and experimental results on layered planar structures of various electromagnetic properties are analyzed and validated.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Ruochen Huang, Mingyang Lu, Ziqi Chen, Yuchun Shao, Zihan Xia, Gang Hu, Anthony Peyton, Wuliang Yin
Summary: Finite element analysis is crucial in the field of eddy current computation and analysis for nondestructive testing applications. This article proposes a novel method that accelerates the calculation by exploiting the small perturbation caused by cracks in the surrounding electric fields. Numerical and experimental tests demonstrate that the algorithm significantly enhances the calculation speed while maintaining low deviation.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Chemistry, Physical
Sirinya Ukasi, Paritta Jutapukti, Chiranicha Ninthub, Nattapong Pinpru, Phakkhananan Pakawanit, Wanwilai Vittayakorn, Satana Pongampai, Naratip Vittayakorn, Thitirat Charoonsuk
Summary: This study explores the enhancement of electrical output of flexible hybrid piezoelectric-triboelectric nanogenerators by incorporating gamma-glycine into fully organic composites. The research demonstrates the importance of optimized concentrations of gamma-glycine and chitosan in achieving superior performance. The study identifies the critical content of gamma-glycine that leads to the highest output signal, and provides theoretical explanations for this observation.
Article
Chemistry, Physical
Yoonsang Ra, Yu-seop Kim, Seonmo Yang, Namgyu Kang, Gyuwon Oh, Chungyeon Cho, Sangmin Lee, Dongwhi Choi
Summary: In this study, a portable energy harvester (STEP) was proposed to drive various functional LEDs using biomechanical energy. The roles and functionalities of a triboelectric nanogenerator (TENG) and electromagnetic generator (EMG) in the hybrid energy harvester were experimentally demonstrated, and the necessity of hybridization for LED-involved devices was described. The STEP showed promising potential as an effective energy supply strategy for various functional LEDs in related industries.
Article
Chemistry, Physical
Dae Sol Kong, Kyung Hoon Kim, Ying Chieh Hu, Jong Hun Kim, Inseo Kim, Jeongwan Lee, Joonhyuk Lee, Won Hyuk Shon, Hanjin Yoo, Chul-Un Ro, Seungsu Lee, Hyoungjeen Jeen, Minbaek Lee, Minseok Choi, Jong Hoon Jung
Summary: With the rapid development of the Internet of Things and artificial intelligence, smart home has emerged to fulfill the security, convenience, and energy-saving issues of modern life. A flexoelectric mica crystal is used to augment the finger touch-driven triboelectric output for operating a wireless and multichannel smart home controller. This work provides important ingredients for enhancing triboelectric output and realizing a convenient, multifunctional, cost-effective, and adaptable smart home control system without batteries.
Article
Chemistry, Physical
Yi Han, Fang Wu, Xiaozhen Du, Zihao Li, Haixiang Chen, Dongxing Guo, Junlei Wang, Hong Yu
Summary: This paper presents a novel type of triboelectric nanogenerator that utilizes wind energy, with a Y-type bluff body to enhance vibration and output power. The application of this generator successfully provides power for a wireless temperature and humidity sensor.
Article
Chemistry, Physical
Wen Zhang, Fangyuan Cheng, Miao Chang, Yue Xu, Yuyu Li, Shixiong Sun, Liang Wang, Leimin Xu, Qing Li, Chun Fang, Meng Wang, Yuhao Lu, Jiantao Han, Yunhui Huang
Summary: This study successfully induced the formation of a uniform and robust CEI by constructing ZrO2 nano-rivets on the surface of LCO, stabilizing the surface of high-voltage LCO and facilitating lithium-ion diffusion.
Article
Chemistry, Physical
Karl P. Olson, Laurence D. Marks
Summary: This paper investigates the role of contacting shapes in triboelectricity and provides scaling rules for designing energy harvesting devices.
Article
Chemistry, Physical
Jong-An Choi, Jingu Jeong, Mingyu Kang, Hee-Jin Ko, Taehoon Kim, Keun Park, Jongbaeg Kim, Soonjae Pyo
Summary: Wind-driven triboelectric nanogenerators (WTENGs) are a promising emerging technology for sustainable wind energy harvesting, offering high output performance, lightweight design, and compact dimensions. This study introduces an innovative WTENG design that leverages a rolling-based mechanism to achieve efficient omnidirectional wind energy harvesting.
Article
Chemistry, Physical
Liwei Dong, Qian Tang, Chaoyang Zhao, Guobiao Hu, Shuai Qu, Zicheng Liu, Yaowen Yang
Summary: This paper proposes a novel hybrid scheme for flag-type nanogenerators (FNGs) that enhances their performance and broadens their operational wind speed ranges by harnessing the synergistic potential of two aerodynamic behaviors. The proposed flag-type triboelectric-piezoelectric hybrid nanogenerator (FTPNG) integrates flapping piezoelectric flags (PEFs) and a fluttering triboelectric flag (TEF). The FTPNG achieves significant power generation and a broad wind speed range, surpassing other FNGs, making it suitable for various self-powered systems and Internet of Things applications.
Review
Chemistry, Physical
Yunmeng Li, Xin Liu, Zewei Ren, Jianjun Luo, Chi Zhang, Changyong (Chase) Cao, Hua Yuan, Yaokun Pang
Summary: The demand for green and eco-friendly materials is growing due to increasing environmental concerns related to traditional petroleum-based products. Marine biomaterials have emerged as a promising alternative, thanks to their abundant availability, biocompatibility, biodegradability, and low toxicity. In this review, we discuss the development and applications of triboelectric nanogenerators (TENGs) based on marine biomaterials. The operational modes, foundational principles, intrinsic qualities, and advantages of marine biomaterials commonly used in TENG designs are highlighted. Approaches to enhance the efficacy of TENGs derived from marine biomaterials are also discussed, along with documented applications from existing literature. Furthermore, the existing challenges and future directions in marine biomaterial-inspired TENGs are explored.
Article
Chemistry, Physical
Matthew P. Wells, Adam J. Lovett, Yizhi Zhang, Zhongxia Shang, Kosova Kreka, Babak Bakhit, Haiyan Wang, Albert Tarancon, Judith L. MacManus-Driscoll
Summary: Reversible solid oxide cells (rSOCs) offer a promising solution to efficient energy conversion, but have been limited in portable power and electrolysis applications due to excessive polarisation resistance of the oxygen electrode at low temperatures. This study demonstrates the growth of symmetric and complete rSOC structures with reduced polarisation resistance by tuning oxygen vacancy through annealing, providing a promising route towards high-performance rSOC devices for portable power applications.
Article
Chemistry, Physical
Kangkang Bao, Minghui Wang, Yue Zheng, Panpan Wang, Liwen Yang, Yang Jin, Hui Wu, Bin Sun
Summary: This study utilizes ethanol as an electrolyte additive to modulate the migration of zinc ions and the surface structure of zinc anodes, resulting in improved capacity retention and cycle life of zinc-based aqueous batteries.
Article
Chemistry, Physical
Haichao Yang, Wensi Cai, Ming Wang, Saif M. H. Qaid, Zhiyuan Xu, Huaxin Wang
Summary: The introduction of sodium alginate (SA) into perovskite solar cells improves the carrier dynamics, stability, and performance by inhibiting nonradiative recombination and retarded charge dynamics.
Article
Chemistry, Physical
Cuirong Zhang, Mingyuan Wei, Zihan Chen, Wansheng Lin, Shifan Yu, Yijing Xu, Chao Wei, Jinwei Zhang, Ziquan Guo, Yuanjin Zheng, Qingliang Liao, Xinqin Liao, Zhong Chen
Summary: Artificial Intelligence of Things (AIoT) aims to establish smart and informative interactions between humans and devices. However, common pixelated sensing arrays in AIoT applications present problems such as hard and brittle devices, complex structures, and low precision. This article introduces an innovative solution called the all-in-one intelligent semitransparent interactive nerve patch (AISI nerve patch), which integrates sensing, recognition, and transmission functionalities into a thin and flexible patch. The AISI nerve patch is semitransparent, allowing for accurate identification without affecting aesthetics, and it can be attached to any curved surface for intelligent and interactive applications. With rapid response time and high precision recognition, it enables the integration of artificial intelligence and achieves high recognition accuracy for further development of AIoT.
Article
Chemistry, Physical
Youcun Bai, Heng Zhang, Huijun Song, Chong Zhu, Lijin Yan, Qin Hu, Chang Ming Li
Summary: A novel stainless-steel supported lattice-mismatched V-S-Se layered compound with high selenium vacancy was synthesized by adjusting the molar ratio of sulfur to selenium. The introduction of selenium vacancies created additional redox peaks of sulfur, providing more mass transport channels and active sites for zinc ions. The specific capacity and cycle stability of the electrode were significantly improved, demonstrating great potential for practical applications and providing insights into the effects of defects on battery performance.
Article
Chemistry, Physical
Yao Xiao, Puxian Xiong, Yakun Le, Zhenjie Lun, Kang Chen, Zhiduo Wang, Peishan Shao, Zhicong Chen, Dongdan Chen, Zhongmin Yang
Summary: This study successfully synthesized a material with multi-stimulus-responsive luminescence and confirmed the internal relationship between luminescence and defects by regulating the distribution and depth of defects. The dynamic process of multi-stimulus-responsive luminescence was validated by experimental and calculation results.
