灵敏度(控制系统)
拉伤
理论(学习稳定性)
材料科学
3d打印
计算机科学
工程类
电子工程
生物医学工程
生物
解剖
机器学习
作者
Binbin Guo,Chengyu Lin,Haitao Ye,Yu Xue,Jinsong Mo,Jiawei Chen,Yangfeng Cui,Chenglong Fu,Jiaming Bai,Qi Ge,Hui Yang
标识
DOI:10.1088/2631-7990/add971
摘要
Abstract Organohydrogel-based strain sensors are gaining attention for real-time health services and human-machine interactions due to their flexibility, stretchability, and skin-like compliance. However, these sensors often have limited sensitivity and poor stability due to their bulk structure and strain concentration during stretching. In this study, we designed and fabricated diamond-, grid-, and peanut-shaped organohydrogel based on positive, near-zero, and negative Poisson’s ratios using digital light processing (DLP)-based 3D printing technology. Through structural design and optimization, the grid-shaped organohydrogel exhibited record sensitivity with gauge factors of 4.5 (0–200% strain, ionic mode) and 13.5/1.5 × 10 6 (0−2%/2%−100% strain, electronic mode), alongside full resistance recovery for enhanced stability. The 3D-printed grid structure enabled direct wearability and breathability, overcoming traditional sensor limitations. Integrated with a robotic hand system, this sensor demonstrated clinical potential through precise monitoring of paralyzed patients’ grasping movements (with a minimum monitoring angle of 5°). This structural design paradigm advanced flexible electronics by synergizing high sensitivity, stability, wearability, and breathability for healthcare, and human-machine interfaces.
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