Half-Encapsulated Rigid Microsphere Arrays for Enhancing the Sensitivity of In-Plane Integrated Pressure Sensor
Cong Zhao, Fang-mei Li, Xiaoying Pan, Li Song, Yufei Zhai, Shah Fahad, Hongyu Yu, Min Wang
- 发表年份
- 2023
- 引用次数
- 9
摘要
As the key block of the application in the field of wearable electronic devices and next-generation robots, flexible piezoresistive sensors have attracted more and more attention. However, it is still a challenge to fabricate a piezoresistive sensor with high sensitivity, high stability, and a large detection range due to the traditional structure limitations. This article proposed a flexible lateral-circuited piezoresistive sensor with a mechanotransduction structure. The lateral electrode design was achieved by using an AgNWs woven 3-D network deposited on an elastic substrate. The zirconia microspheres were assembled in the cavities forming the mechanotransduction structure. It was found from theory and experiments that the microsphere arrays can weaken the load dissipation effect in the elastic substrate and magnify the effect of the mechanical stimulation. The as-obtained result of the deformation of the pressure sensor with zirconia microspheres arrays showed a differential expansion, which is contrary to the compression of the blank sample. Moreover, the sensor shows high linear sensitivity (1.7 kPa−1) in the detection range of 0–120 kPa, fast response/recovery time of 23/22 ms, and relatively high stability (2400 cycles). On the other hand, the sensor also showed relatively high temperature and high humidity stabilities. This result verifies that the zirconia microsphere arrays have highly efficient mechanotransduction. This work provides a new perspective for designing and preparing high-sensitivity and wide-range pressure sensors.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992