scholarly journals A Self-Powered Basketball Training Sensor Based on Triboelectric Nanogenerator

2021 ◽  
Vol 11 (8) ◽  
pp. 3506
Author(s):  
Zhenyu Zhao ◽  
Chuan Wu ◽  
Qing Zhou
Keyword(s):  
Real Time ◽  
Light Emitting Diode ◽  
High Reliability ◽  
Working Environment ◽  
Triboelectric Nanogenerator ◽  
Target Area ◽  
Maximum Output ◽  
Environment Temperature ◽  
Self Powered ◽  
Led Lights

During the basketball training for beginner children, sensors are needed to count the number of times the basketball hits the target area in a certain period of time to evaluate the training effect. This study proposes a self-powered basketball training sensor, based on a triboelectric nanogenerator. The designed sensor with a rectangular floor shape will output a pulse signal with the same frequency as the basketball impact to achieve the measurement function through the mutual contact of the internal copper (Cu) and polytetrafluoroethylene (PTFE). Test results show that the working frequency of the sensor is 0 to 5 Hz, the working environment temperature should be less than 75 °C, the working environment humidity should be less than 95%, and which has high reliability. Further tests show that the maximum output voltage, current, and power of the sensor can reach about 52 V, 4 uA, and 26.5 uW with a 10 MΩ resistance in series, respectively, and the output power can light up 12 light-emitting diode (LED) lights in real-time. Compared with the traditional statistical method of manual observation, the sensor can automatically count data in a self-powered manner, and also can light up the LED lights in real-time as an indicator of whether the basketball impacts the target area, to remind beginner children in real-time.

scholarly journals Self-Powered Speed Sensor for Turbodrills Based on Triboelectric Nanogenerator

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4889 ◽  
Author(s):  
Chuan Wu ◽  
Chenxing Fan ◽  
Guojun Wen
Keyword(s):  
Power Supply ◽  
Rotational Speed ◽  
Light Emitting Diode ◽  
Working Environment ◽  
Triboelectric Nanogenerator ◽  
Light Emitting ◽  
Speed Sensor ◽  
Laboratory Test Results ◽  
Drilling Technology ◽  
Self Powered

Turbodrills play an important role in underground energy mining. The downhole rotational speed of turbodrills is one of the key parameters for controlling the drilling technology. Therefore, it is necessary to measure the rotational speed of the turbodrills in real time. However, there is no dedicated speed sensor for the working environment of turbodrills at present. Therefore, based on the working principle of triboelectric nanogenerator (TENG), a self-powered speed sensor which can measure the speed of the turbodrills is proposed in this study. Besides, since the sensor is self-powered, it can operate without power supply. According to the laboratory test results, the measurement error of the sensor is less than 5%. In addition, the self-powered performance of the sensor was also explored in this study. The test shows that the maximum generating voltage of the sensor is about 27 V, the maximum current is about 7 μA, the maximum power is about 2 × 10−4 W, and the generated electricity can supply power for ten LED (light-emitting diode), which not only meets the power supply requirements of the sensor itself, but also makes it possible to further power other underground instruments.

scholarly journals Research on the Potential of Spherical Triboelectric Nanogenerator for Collecting Vibration Energy and Measuring Vibration

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1063 ◽  
Author(s):  
Chuan Wu ◽  
He Huang ◽  
Rui Li ◽  
Chenxing Fan
Keyword(s):  
Power Generation ◽  
Vibration Frequency ◽  
Output Signal ◽  
Signal Amplitude ◽  
Working Environment ◽  
Vibration Energy ◽  
Triboelectric Nanogenerator ◽  
Maximum Output ◽  
Vibration Source ◽  
Environment Temperature

The traditional downhole drilling vibration measurement methods which use cable or battery as power supplies increase the drilling costs and reduce the drilling efficiency. This paper proposes a spherical triboelectric nanogenerator, which shows the potential to collect the downhole vibration energy and measure the vibration frequency in a self-powered model. The power generation tests show that the output signal amplitude of the spherical triboelectric nanogenerator increases as the vibration frequency increases, and it can reach a maximum output voltage of 70 V, a maximum current of 3.3 × 10−5 A, and a maximum power of 10.9 × 10−9 W at 8 Hz when a 10-ohm resistor is connected. Therefore, if the power generation is stored for a certain period of time when numbers of the spherical triboelectric nanogenerators are connected in parallel, it may provide intermittent power for the low-power downhole measurement instruments. In addition, the sensing tests show that the measurement range is 0 to 8 Hz, the test error is less than 2%, the applicable working environment temperature is below 100 degrees Celsius, and the installation distance between the spherical triboelectric nanogenerator and the vibration source should be less than the critical value of 150 cm because the output signal amplitude is inversely proportional to the distance.

scholarly journals Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2322
Author(s):  
Xiaofei Ma ◽  
Xuan Liu ◽  
Xinxing Li ◽  
Yunfei Ma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Mechanical Energy ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Triboelectric Nanogenerator ◽  
Light Weight ◽  
Table Tennis ◽  
Self Powered

With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.

scholarly journals Self-powered Real-time Movement Monitoring Sensor Using Triboelectric Nanogenerator Technology

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Liangmin Jin ◽  
Juan Tao ◽  
Rongrong Bao ◽  
Li Sun ◽  
Caofeng Pan
Keyword(s):  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Self Powered ◽  
Time Movement ◽  
Movement Monitoring

scholarly journals A sliding mode contact electrification based triboelectric-electromagnetic hybrid generator for small-scale biomechanical energy harvesting

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Venkateswaran Vivekananthan ◽  
Woo Joong Kim ◽  
Nagamalleswara Rao Alluri ◽  
Yuvasree Purusothaman ◽  
K. S. Abisegapriyan ◽  
...  
Keyword(s):  
Sliding Mode ◽  
Small Scale ◽  
Triboelectric Nanogenerator ◽  
Maximum Output ◽  
Hybrid Device ◽  
Energy Harvesters ◽  
Hybrid Generator ◽  
Self Powered ◽  
Electric Flux ◽  
Copper Coil

Abstract The present work describes the hybridization of two different energy harvesters works simultaneously in a single package. By applying simultaneous mechanical force, two components such as triboelectric nanogenerator (TENG) and electromagnetic generator (EMG) independently produce power. The hybrid device was made with a polymeric cylinder composed of Kapton in the inner wall; a copper coil wound outside the cylinder and neodymium magnet and small bits of paper housed inside it. The paper flakes having the dimension of 5 mm × 5 mm, which are triboelectric positive slides over the negative triboelectric layer Kapton. The potential difference between the two different triboelectric material leads to the generation of electric power. The triboelectric component generates the maximum output with the voltage of ≈ 20 V and the current of 300 nA. The magnet inside the cylinder moves simultaneously along with the paper made the production of electric flux in the coil. The alternating magnetic flux induces the current in the outer coil as per the Lenz’s law. The maximum output generated from the EMG component with the obtained voltage of 2 V and the maximum current of 10 mA. Further, to analyze the actual working behavior of the device, commercial capacitor charging behavior was analyzed. The TENG component runs the consistent charging behavior, whereas the EMG component offers a rapid charging behavior, under hybrid mode both the merits can be utilized. The device has had placed in a backpack, and the biomechanical energy from human motions such as walking, running and jumping had been demonstrated. This study confirms that the proposed hybrid generator is capable of powering small electronic devices such as global positioning system (GPS), flashlights and potentially be able to use as an active MEMS/NEMS-based self-powered sensor.

scholarly journals A Hybrid Biofuel and Triboelectric Nanogenerator for Bioenergy Harvesting

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Hu Li ◽  
Xiao Zhang ◽  
Luming Zhao ◽  
Dongjie Jiang ◽  
Lingling Xu ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Light Emitting Diode ◽  
Green Light ◽  
Integrated System ◽  
The Body ◽  
Triboelectric Nanogenerator ◽  
Multiple Sources ◽  
Hybrid Energy ◽  
Self Powered

AbstractVarious types of energy exist everywhere around us, and these energies can be harvested from multiple sources to power micro-/nanoelectronic system and even personal electronic products. In this work, we proposed a hybrid energy-harvesting system (HEHS) for potential in vivo applications. The HEHS consisted of a triboelectric nanogenerator and a glucose fuel cell for simultaneously harvesting biomechanical energy and biochemical energy in simulated body fluid. These two energy-harvesting units can work individually as a single power source or work simultaneously as an integrated system. This design strengthened the flexibility of harvesting multiple energies and enhanced corresponding electric output. Compared with any individual device, the integrated HEHS outputs a superimposed current and has a faster charging rate. Using the harvested energy, HEHS can power a calculator or a green light-emitting diode pattern. Considering the widely existed biomechanical energy and glucose molecules in the body, the developed HEHS can be a promising candidate for building in vivo self-powered healthcare monitoring system.

A Stretchable, Flexible Triboelectric Nanogenerator for Self-Powered Real-Time Motion Monitoring

2018 ◽  
Vol 3 (6) ◽  
pp. 1800021 ◽  
Author(s):  
Cunxin Lu ◽  
Jian Chen ◽  
Tao Jiang ◽  
Guangqin Gu ◽  
Wei Tang ◽  
...  
Keyword(s):  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Time Motion ◽  
Self Powered

Free‐Fixed Rotational Triboelectric Nanogenerator for Self‐Powered Real‐Time Wheel Monitoring

2021 ◽  
Vol 6 (3) ◽  
pp. 2000918 ◽  
Author(s):  
Long Jin ◽  
Steven L. Zhang ◽  
Sixing Xu ◽  
Hengyu Guo ◽  
Weiqing Yang ◽  
...  
Keyword(s):  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Self Powered

Wireless self-powered sensor networks driven by triboelectric nanogenerator for in-situ real time survey of environmental monitoring

Nano Energy ◽  
2018 ◽  
Vol 53 ◽  
pp. 501-507 ◽  
Author(s):  
Zhihao Zhou ◽  
Xiaoshi Li ◽  
Yufen Wu ◽  
Heng Zhang ◽  
Zhiwei Lin ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Environmental Monitoring ◽  
Real Time ◽  
Triboelectric Nanogenerator ◽  
Self Powered
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