TY - JOUR
T1 - Theoretical investigation and experimental verification of the self-powered acceleration sensor based on triboelectric nanogenerators (TENGs)
AU - Liu, Chaoran
AU - Fang, Lingxing
AU - Zou, Haiyang
AU - Wang, Yishao
AU - Chi, Jingu
AU - Che, Lufeng
AU - Zhou, Xiaofeng
AU - Wang, Zuankai
AU - Wang, Tao
AU - Dong, Linxi
AU - Wang, Gaofeng
AU - Wang, Zhong Lin
N1 - Publisher Copyright:
© 2020
PY - 2021/1
Y1 - 2021/1
N2 - Self-powered acceleration sensors based on triboelectric nanogenerators (TENGs) are critical components for vibration detection, which have promising applications in Internet of Things, wearable electronics and sensor networks. However, the development of this sensor is restricted by lack of the working mechanism. Herein, we propose a novel theoretical model V-Q-a based on contact-separation TENGs to systematically illuminate the mechanism of the self-powered acceleration sensor under different motion. Based on the model, the self-powered sensor's output performances such as transferred charges, output voltage and sensitivity are deeply analyzed under common uniform accelerated and sinusoidal motions. Also, a self-powered acceleration sensor with silk-fibroin triboelectric layer is fabricated to verify the V-Q-a model. The test results show that experimental verification data agrees well with the theoretical analysis. It also exhibits a high sensitivity of 19.07 V s2 m−1 of the as-fabricated sensor with higher stability, which is 12 times as higher than the self-powered accelerometer fabricated by Zhang et al. with sensitivity of 15.56 V g−1. The excellent output performance enables the acceleration sensor to be applied in wearable devices (passometer) and machine vibration monitoring. This work advances an in-depth understanding of self-powered acceleration sensor based on TENGs, which will effectively guide for optimizing sensor structure and performance in future specific applications.
AB - Self-powered acceleration sensors based on triboelectric nanogenerators (TENGs) are critical components for vibration detection, which have promising applications in Internet of Things, wearable electronics and sensor networks. However, the development of this sensor is restricted by lack of the working mechanism. Herein, we propose a novel theoretical model V-Q-a based on contact-separation TENGs to systematically illuminate the mechanism of the self-powered acceleration sensor under different motion. Based on the model, the self-powered sensor's output performances such as transferred charges, output voltage and sensitivity are deeply analyzed under common uniform accelerated and sinusoidal motions. Also, a self-powered acceleration sensor with silk-fibroin triboelectric layer is fabricated to verify the V-Q-a model. The test results show that experimental verification data agrees well with the theoretical analysis. It also exhibits a high sensitivity of 19.07 V s2 m−1 of the as-fabricated sensor with higher stability, which is 12 times as higher than the self-powered accelerometer fabricated by Zhang et al. with sensitivity of 15.56 V g−1. The excellent output performance enables the acceleration sensor to be applied in wearable devices (passometer) and machine vibration monitoring. This work advances an in-depth understanding of self-powered acceleration sensor based on TENGs, which will effectively guide for optimizing sensor structure and performance in future specific applications.
KW - High sensitivity
KW - Self-powered acceleration sensor
KW - Triboelectric nanogenerator
KW - V-Q-a model
UR - https://www.scopus.com/pages/publications/85096513039
U2 - 10.1016/j.eml.2020.101021
DO - 10.1016/j.eml.2020.101021
M3 - 文章
AN - SCOPUS:85096513039
SN - 2352-4316
VL - 42
JO - Extreme Mechanics Letters
JF - Extreme Mechanics Letters
M1 - 101021
ER -