Superflexible Carbon Nanofibers for Multidimensional Complex Deformation Sensing in Soft Robots

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.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-10-31
DOI
https://doi.org/10.1021/acsami.4c13537
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.55

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article

Superflexible Carbon Nanofibers for Multidimensional Complex Deformation Sensing in Soft Robots

Aixiang Wei, Xiangqi Liu, Yu Zhao, Zhoujun Pang et al.
3 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
0.55
article

Superflexible Carbon Nanofibers for Multidimensional Complex Deformation Sensing in Soft Robots

Aixiang Wei, Xiangqi Liu, Yu Zhao, Zhoujun Pang, Dihu Chen, Kunle Li
article en
3 citations

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.

ACS Applied Materials & InterfacesVol. 16(45)
Guangdong University of Technology (CN), Sun Yat-sen University (CN), Guangdong Ocean University (CN)
Natural Science Foundation of Guangdong Province, Guangdong University of Technology
Openalex Percentile: Top 36%
Advanced Sensor and Energy Harvesting Materials
0.55
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