电容感应
材料科学
制作
电介质
3D打印
纳米技术
小型化
弹性体
格子(音乐)
平面的
机械工程
有限元法
计算机科学
触觉传感器
光电子学
复合材料
声学
结构工程
工程类
物理
医学
替代医学
计算机图形学(图像)
病理
人工智能
机器人
操作系统
作者
Arielle Berman,Kai-Wen Hsiao,Samuel E. Root,Hojung Choi,Daniel Ilyn,Chengyi Xu,Emily Stein,Mark R. Cutkosky,Joseph M. DeSimone,Zhenan Bao
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2024-10-04
卷期号:10 (40)
标识
DOI:10.1126/sciadv.adq8866
摘要
Soft sensors that can perceive multiaxial forces, such as normal and shear, are of interest for dexterous robotic manipulation and monitoring of human performance. Typical planar fabrication techniques have substantial design constraints that often prohibit the creation of functionally compelling and complex architectures. Moreover, they often require multiple-step operations for production. Here, we use an additive manufacturing process based on continuous liquid interface production to create high-resolution (30-micrometer) three-dimensional elastomeric polyurethane lattices for use as dielectric layers in capacitive sensors. We show that the capacitive responses and sensitivities are highly tunable through designs of lattice type, thickness, and material-void volume percentage. Microcomputed tomography and finite element simulation are used to elucidate the influence of lattice design on the deformation mechanism and concomitant sensing behavior. The advantage of three-dimensional printing is exhibited with examples of fully printed representative athletic equipment with integrated sensors.
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