Superflexible Carbon Nanofibers for Multidimensional Complex Deformation Sensing in Soft Robots.

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Xiangqi Liu, Kunle Li, Dihu Chen, Aixiang Wei, Yu Zhao, Zhoujun Pang
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Abstract

Soft robots can make complex motions or deformations due to their infinite freedom, which poses great challenges for monitoring their motion and position. While previous investigations of flexible sensing either focused on stretchable or compression deformations in one or two directions, the complex multidimensional deformations that occur on the surfaces of soft robots have been frequently overlooked. In this work, inspired by spider silk, superflexible carbon nanofibers with a bundled structure were biomimetically designed and fabricated using electrospinning technology and carbonization treatment. The fabricated fibers can be microscopically folded at 180° and can sustain multidimensional shrinkage deformation without microstructural damage during 200,000 times of repeated folding. In addition, the fibers process ultrasmall bending resistance that is two orders of magnitude lower than that of A4 paper and commercial conductive fibers, demonstrating excellent flexibility that is ideal for fabricating sensors in soft robots. Combining the study of origami techniques and mechanical simulations, the bending resistance of the fibers was found to have a step change in response to different deformation angles and radii. As a demonstration, a sensor based on this flexible carbon nanofiber successfully monitors the irregular shrinkage deformation of soft parts, showing great potential in applications of grasping, recognition, and perception. This work sheds light on the design of ultraflexible conductive carbon materials and provides an avenue for the extreme shape-morphing monitoring of soft robots.

用于软机器人多维复杂变形传感的超柔性碳纳米纤维
软体机器人具有无限的自由度,可以做出复杂的运动或变形,这给监测其运动和位置带来了巨大挑战。以往对柔性传感的研究主要集中在一个或两个方向的拉伸或压缩变形上,而软体机器人表面发生的复杂多维变形却经常被忽视。在这项工作中,受蜘蛛丝的启发,利用电纺丝技术和碳化处理,仿生设计并制造了具有束状结构的超柔性碳纳米纤维。制成的纤维可在显微镜下进行 180° 折叠,并能在 20 万次反复折叠过程中承受多维收缩变形,而不会造成微观结构损伤。此外,这种纤维处理后的超小弯曲阻力比 A4 纸和商用导电纤维低两个数量级,表现出极佳的柔韧性,是制造软机器人传感器的理想材料。结合对折纸技术和机械模拟的研究,我们发现纤维的抗弯强度会随着不同的变形角度和半径而发生阶跃变化。作为示范,基于这种柔性碳纳米纤维的传感器成功地监测了软部件的不规则收缩变形,在抓取、识别和感知等应用中显示出巨大的潜力。这项研究为超柔性导电碳材料的设计提供了启示,并为软机器人的极端形状变形监测提供了途径。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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