| Literature DB >> 33601883 |
Yi Ming Yin1, Hua Yang Li1,2, Jin Xu1, Chen Zhang3, Fei Liang4, Xin Li5, Yang Jiang5, Jin Wei Cao1,2, Han Fang Feng1, Jia Nan Mao1, Ling Qin1, Yi Fan Kang1, Guang Zhu1.
Abstract
Flexible pressure sensors have attracted intense attention because of their widespread applications in electronic skin, human-machine interfaces, and healthcare monitoring. Conductive porous structures are always utilized as active layers to improve the sensor sensitivities. However, flexible pressure sensors derived from traditional foaming techniques have limited structure designability. Besides, random pore distribution causes difference in structure and signal repeatability between different samples even in one batch, therefore limiting the batch production capabilities. Herein, we introduce a structure designable lattice structure pressure sensor (LPS) produced by bottom-up digital light processing (DLP) 3D printing technique, which is capable of efficiently producing 55 high fidelity lattice structure models in 30 min. The LPS shows high sensitivity (1.02 kPa-1) with superior linearity over a wide pressure range (0.7 Pa to 160 kPa). By adjusting the design parameters such as lattice type and layer thickness, the electrical sensitivities and mechanical properties of LPS can be accurately controlled. In addition, the LPS endures up to 60000 compression cycles (at 10 kPa) without any obvious electrical signal degradation. This benefits from the firm carbon nanotubes (CNTs) coating derived from high-energy ultrasonic probe and the subsequent thermal curing process of UV-heat dual-curing photocurable resin. For practical applications, the LPS is used for real time pulse monitoring, voice recognition and Morse code communication. Furthermore, the LPS is also integrated to make a flexible 4 × 4 sensor arrays for detecting spatial pressure distribution and a flexible insole for foot pressure monitoring.Entities:
Keywords: DLP 3D printing; batch production; durability; healthcare monitoring; lattice structure; pressure sensor
Year: 2021 PMID: 33601883 DOI: 10.1021/acsami.0c21407
Source DB: PubMed Journal: ACS Appl Mater Interfaces ISSN: 1944-8244 Impact factor: 9.229