Feasibility study of a self-powered piezoelectric sensor

2004 ◽  
Author(s):  
Tsz-Ho Ng ◽  
Wei-Hsin Liao
Keyword(s):  
Feasibility Study ◽  
Piezoelectric Sensor ◽  
Self Powered

scholarly journals A 1.02 μW Autarkic Threshold-Based Sensing and Energy Harvesting Interface Using a Single Piezoelectric Element

2021 ◽  
Vol 11 (2) ◽  
pp. 27
Author(s):  
Zoi Agorastou ◽  
Vasileios Kalenteridis ◽  
Stylianos Siskos
Keyword(s):  
Piezoelectric Element ◽  
Piezoelectric Sensor ◽  
Proof Of Concept ◽  
Sensor Interface ◽  
Autonomous Operation ◽  
Weigh In Motion ◽  
Self Sufficiency ◽  
Context Data ◽  
Self Powered ◽  
Harvesting Process

A self-powered piezoelectric sensor interface employing part of the signal that is not intended for measurement to sustain its autonomous operation was designed using XH018 (180 nm) technology. The aim of the proposed circuit, besides the energy self-sufficiency of the sensor, is to provide an interface that eliminates the effect of the harvesting process on the piezoelectric output signal which contains context data. This is achieved by isolating part of the signal that is desirable for sensing from the harvesting process so that the former is not affected or distorted by the latter. Moreover, the circuit manages to self-start its operation, so no additional battery or pre-charged capacitor is needed. The circuit achieves a very low power consumption of 1.02 μW. As a proof of concept, the proposed interfacing circuit is implemented in order to be potentially used for weigh-in-motion applications.

scholarly journals Piezoelectric sensor based on graphene-doped PVDF nanofibers for sign language translation

2020 ◽  
Vol 11 ◽  
pp. 1655-1662
Author(s):  
Shuai Yang ◽  
Xiaojing Cui ◽  
Rui Guo ◽  
Zhiyi Zhang ◽  
Shengbo Sang ◽  
...  
Keyword(s):  
Sign Language ◽  
Polyvinylidene Fluoride ◽  
Motion Tracking ◽  
Language Translation ◽  
High Sensitivity ◽  
Piezoelectric Sensor ◽  
Body Motion ◽  
Sensing System ◽  
Gesture Control ◽  
Self Powered

The tracking of body motion, such as bending or twisting, plays an important role in modern sign language translation. Here, a subtle flexible self-powered piezoelectric sensor (PES) made of graphene (GR)-doped polyvinylidene fluoride (PVDF) nanofibers is reported. The PES exhibits a high sensitivity to pressing and bending, and there is a stable correlation between bending angle and piezoelectric voltage. The sensitivity can be adjusted by changing the doping concentration of GR. Also, when the PES contacts a source of heat, a pyroelectric signal can be acquired. The positive correlation between temperature and signal can be used to avoid burns. The integrated sensing system based on multiple PESs can accurately recognize the action of each finger in real time, which can be effectively applied in sign language translation. PES-based motion-tracking applications have been effectively used, especially in human–computer interaction, such as gesture control, rehabilitation training, and auxiliary communication.

Self-powered Flexible piezoelectric Senorbased on PbZr0.52Ti0.48O3 nanofibers for impact force monitoring and Rubber Mat Aging Assessment

2021 ◽  
Author(s):  
Yuxing Ding ◽  
Ranran Geng ◽  
Ruijian Zhu ◽  
Weimin Zhang ◽  
Weijie Wang ◽  
...  
Keyword(s):  
Impact Force ◽  
Low Frequency ◽  
Piezoelectric Sensor ◽  
Electrospinning Technique ◽  
Rubber Mat ◽  
Potential Applications ◽  
External Impact ◽  
Curvature Deformation ◽  
Force Monitoring ◽  
Self Powered

Abstract In this work, a flexible piezoelectric sensor was fabricated based on PbZr0.52Ti0.48O3(PZT) nanofibers composite, and its potential applications in impact force monitoring and rubber mat aging assessment were reported. The PZT piezoelectric nanofibers with diameters of 150–260nm were prepared via electrospinning technique, showing a high piezoelectric coefficient (d33~92.5 pm/V) for piezoelectric fibers. The PZT nanofibers and carbon nanotubes(CNTs) were dispersed in polydimethylsiloxane (PDMS) to fabricate a highly stretchable and flexible impact sensor (PZT/CNTs/PDMS piezoelectric nanocomposite sensor), which showed excellent low frequency sensitivity(as low as 0.01Hz), high bending deformation sensitivity (as low as 0.192cm-1 curvature deformation with 6.64V/cm-1 sensitivity) and cycle stability under external impact force. Besides, it is the first attempt to assess railway tracks rubber mat aging based on piezoelectric nanocomposite impact sensor, and the static stiffness relative error reaches a low value of 6.91% .

Wireless Single-Electrode Self-Powered Piezoelectric Sensor for Monitoring

2020 ◽  
Vol 12 (7) ◽  
pp. 8288-8295 ◽  
Author(s):  
Qi Liu ◽  
Xiao-Xiong Wang ◽  
Wei-Zhi Song ◽  
Hui-Jing Qiu ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Piezoelectric Sensor ◽  
Self Powered

scholarly journals An Effective Self-Powered Piezoelectric Sensor for Monitoring Basketball Skills

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5144
Author(s):  
Chongle Zhao ◽  
Changjun Jia ◽  
Yongsheng Zhu ◽  
Tianming Zhao
Keyword(s):  
Control Function ◽  
Mechanical Energy ◽  
Active Material ◽  
Piezoelectric Sensor ◽  
Human Motion ◽  
Flexible Sensors ◽  
External Power ◽  
Point Control ◽  
Self Powered

Self-powered piezoelectric sensor can achieve real-time and harmless monitoring of motion processes without external power supply, which can be attached on body skin or joints to detect human motion and powered by mechanical energy. Here, a sensor for monitoring emergent motion is developed using the PVDF as active material and piezoelectric output as sensing signal. The multi-point control function enables the sensor to monitor the sequence of force order, angle change, and motion frequency of the “elbow lift, arm extension, and wrist compression” during shooting basketball. In addition, the sensor shows can simultaneously charge the capacitor to provide more power for intelligence, typically Bluetooth transmission. The sensor shows good performance in other field, such as rehabilitation monitoring and speech input systems. Therefore, the emerging application of flexible sensors have huge long-term prospects in sport big data collection and Internet of Things (IoT).

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