Boundary curvature guided programmable shape-morphing kirigami sheets
Yaoye Hong,
Yinding Chi,
Shuang Wu,
Yanbin Li,
Yong Zhu and
Jie Yin ()
Additional contact information
Yaoye Hong: North Carolina State University
Yinding Chi: North Carolina State University
Shuang Wu: North Carolina State University
Yanbin Li: North Carolina State University
Yong Zhu: North Carolina State University
Jie Yin: North Carolina State University
Nature Communications, 2022, vol. 13, issue 1, 1-13
Abstract:
Abstract Kirigami, a traditional paper cutting art, offers a promising strategy for 2D-to-3D shape morphing through cut-guided deformation. Existing kirigami designs for target 3D curved shapes rely on intricate cut patterns in thin sheets, making the inverse design challenging. Motivated by the Gauss-Bonnet theorem that correlates the geodesic curvature along the boundary with the Gaussian curvature, here, we exploit programming the curvature of cut boundaries rather than the complex cut patterns in kirigami sheets for target 3D curved morphologies through both forward and inverse designs. The strategy largely simplifies the inverse design. Leveraging this strategy, we demonstrate its potential applications as a universal and nondestructive gripper for delicate objects, including live fish, raw egg yolk, and a human hair, as well as dynamically conformable heaters for human knees. This study opens a new avenue to encode boundary curvatures for shape-programing materials with potential applications in soft robotics and wearable devices.
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.nature.com/articles/s41467-022-28187-x Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28187-x
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-022-28187-x
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().