Compressible hexagonal-structured triboelectric nanogenerators for harvesting tire rotation energy

2018 ◽  
Vol 18 ◽  
pp. 1-8 ◽  
Author(s):  
Tong Guo ◽  
Guoxu Liu ◽  
Yaokun Pang ◽  
Bo Wu ◽  
Fengben Xi ◽  
...  
2009 ◽  
Vol 37 (2) ◽  
pp. 62-102 ◽  
Author(s):  
C. Lecomte ◽  
W. R. Graham ◽  
D. J. O’Boy

Abstract An integrated model is under development which will be able to predict the interior noise due to the vibrations of a rolling tire structurally transmitted to the hub of a vehicle. Here, the tire belt model used as part of this prediction method is first briefly presented and discussed, and it is then compared to other models available in the literature. This component will be linked to the tread blocks through normal and tangential forces and to the sidewalls through impedance boundary conditions. The tire belt is modeled as an orthotropic cylindrical ring of negligible thickness with rotational effects, internal pressure, and prestresses included. The associated equations of motion are derived by a variational approach and are investigated for both unforced and forced motions. The model supports extensional and bending waves, which are believed to be the important features to correctly predict the hub forces in the midfrequency (50–500 Hz) range of interest. The predicted waves and forced responses of a benchmark structure are compared to the predictions of several alternative analytical models: two three dimensional models that can support multiple isotropic layers, one of these models include curvature and the other one is flat; a one-dimensional beam model which does not consider axial variations; and several shell models. Finally, the effects of internal pressure, prestress, curvature, and tire rotation on free waves are discussed.


Nano Energy ◽  
2021 ◽  
Vol 86 ◽  
pp. 106126
Author(s):  
Ruey-Chi Wang ◽  
Yu-Cheng Lin ◽  
Po-Tsang Chen ◽  
Hsiu-Cheng Chen ◽  
Wan-Ting Chiu

APL Materials ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 060703
Author(s):  
Irfan Shabbir ◽  
Najaf Rubab ◽  
Tae Whan Kim ◽  
Sang-Woo Kim

2021 ◽  
Vol 29 (6) ◽  
pp. 443-447
Author(s):  
Jin-Hyuk Kwon ◽  
Jaebum Jeong ◽  
Youngju Lee ◽  
Swarup Biswas ◽  
Jun-Kyu Park ◽  
...  

2021 ◽  
Author(s):  
Sophia Shen ◽  
Xiao Xiao ◽  
Xiao Xiao ◽  
Jun Chen

Cardiovascular diseases are currently the leading causes of death globally and are projected to remain the leading cause in 2040, making heart rate an important physiological indicator to regularly monitor....


Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2951
Author(s):  
Yangming Liu ◽  
Jialin Liu ◽  
Lufeng Che

Triboelectric nanogenerators (TENGs) have excellent properties in harvesting tiny environmental energy and self-powered sensor systems with extensive application prospects. Here, we report a high sensitivity self-powered wind speed sensor based on triboelectric nanogenerators (TENGs). The sensor consists of the upper and lower two identical TENGs. The output electrical signal of each TENG can be used to detect wind speed so that we can make sure that the measurement is correct by two TENGs. We study the influence of different geometrical parameters on its sensitivity and then select a set of parameters with a relatively good output electrical signal. The sensitivity of the wind speed sensor with this set of parameters is 1.79 μA/(m/s) under a wind speed range from 15 m/s to 25 m/s. The sensor can light 50 LEDs at the wind speed of 15 m/s. This work not only advances the development of self-powered wind sensor systems but also promotes the application of wind speed sensing.


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