材料科学
压阻效应
自愈水凝胶
导电体
纳米技术
墨水池
3D打印
弹性体
触觉传感器
柔性电子器件
可伸缩电子设备
导电油墨
3d打印
电容感应
软质材料
复合材料
数码产品
计算机科学
薄板电阻
电气工程
生物医学工程
高分子化学
人工智能
工程类
操作系统
图层(电子)
机器人
医学
作者
Chao Zhang,Huanxi Zheng,Jing Sun,Yongsen Zhou,Wanghuai Xu,Yuhang Dai,Jiaying Mo,Zuankai Wang
标识
DOI:10.1002/adma.202105996
摘要
Shaping soft and conductive materials into preferential architectures via 3D printing is highly attractive for numerous applications ranging from tactile devices to bioelectronics. A landmark type of soft and conductive materials is hydrogels/ionogels. However, 3D-printed hydrogels/ionogels still suffer from a fundamental bottleneck: limited stability in their electrical-mechanical properties caused by the evaporation and leakage of liquid within hydrogels/ionogels. Although photocurable liquid-free ion-conducting elastomers can circumvent these limitations, the associated photocurable process is cumbersome and hence the printing quality is relatively poor. Herein, a fast photocurable, solid-state conductive ionoelastomer (SCIE) is developed that enables high-resolution 3D printing of arbitrary architectures. The printed building blocks possess many promising features over the conventional ion-conducting materials, including high resolution architectures (even ≈50 µm overhanging lattices), good Young's modulus (up to ≈6.2 MPa), and stretchability (fracture strain of ≈292%), excellent conductivity tolerance in a wide range of temperatures (from -30 to 80 °C), as well as fine elasticity and antifatigue ability even after 10 000 loading-unloading cycles. It is further demonstrated that the printed building blocks can be programmed into 3D flexible tactile sensors such as gyroid-based piezoresistive sensor and gap-based capacitive sensor, both of which exhibit several times higher in sensitivity than their bulky counterparts.
科研通智能强力驱动
Strongly Powered by AbleSci AI