Literature DB >> 31435070

Programming shape using kirigami tessellations.

Gary P T Choi1, Levi H Dudte1, L Mahadevan2,3,4.   

Abstract

Kirigami tessellations, regular planar patterns formed by partially cutting flat, thin sheets, allow compact shapes to morph into open structures with rich geometries and unusual material properties. However, geometric and topological constraints make the design of such structures challenging. Here we pose and solve the inverse problem of determining the number, size and orientation of cuts that enables the deployment of a closed, compact regular kirigami tessellation to conform approximately to any prescribed target shape in two or three dimensions. We first identify the constraints on the lengths and angles of generalized kirigami tessellations that guarantee that their reconfigured face geometries can be contracted from a non-trivial deployed shape to a compact, non-overlapping planar cut pattern. We then encode these conditions into a flexible constrained optimization framework to obtain generalized kirigami patterns derived from various periodic tesselations of the plane that can be deployed into a wide variety of prescribed shapes. A simple mechanical analysis of the resulting structure allows us to determine and control the stability of the deployed state and control the deployment path. Finally, we fabricate physical models that deploy in two and three dimensions to validate this inverse design approach. Altogether, our approach, combining geometry, topology and optimization, highlights the potential for generalized kirigami tessellations as building blocks for shape-morphing mechanical metamaterials.

Year:  2019        PMID: 31435070     DOI: 10.1038/s41563-019-0452-y

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  11 in total

1.  Deterministic and stochastic control of kirigami topology.

Authors:  Siheng Chen; Gary P T Choi; L Mahadevan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-13       Impact factor: 11.205

2.  Rapidly deployable and morphable 3D mesostructures with applications in multimodal biomedical devices.

Authors:  Fan Zhang; Shupeng Li; Zhangming Shen; Xu Cheng; Zhaoguo Xue; Hang Zhang; Honglie Song; Ke Bai; Dongjia Yan; Heling Wang; Yihui Zhang; Yonggang Huang
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

3.  Totimorphic assemblies from neutrally stable units.

Authors:  Gaurav Chaudhary; S Ganga Prasath; Edward Soucy; L Mahadevan
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-19       Impact factor: 11.205

4.  A dynamically reprogrammable surface with self-evolving shape morphing.

Authors:  Yun Bai; Heling Wang; Yeguang Xue; Yuxin Pan; Jin-Tae Kim; Xinchen Ni; Tzu-Li Liu; Yiyuan Yang; Mengdi Han; Yonggang Huang; John A Rogers; Xiaoyue Ni
Journal:  Nature       Date:  2022-09-21       Impact factor: 69.504

5.  Rigidly flat-foldable class of lockable origami-inspired metamaterials with topological stiff states.

Authors:  Amin Jamalimehr; Morad Mirzajanzadeh; Abdolhamid Akbarzadeh; Damiano Pasini
Journal:  Nat Commun       Date:  2022-04-05       Impact factor: 17.694

6.  Strain rate-dependent mechanical metamaterials.

Authors:  S Janbaz; K Narooei; T van Manen; A A Zadpoor
Journal:  Sci Adv       Date:  2020-06-17       Impact factor: 14.136

7.  Conformal elasticity of mechanism-based metamaterials.

Authors:  Michael Czajkowski; Corentin Coulais; Martin van Hecke; D Zeb Rocklin
Journal:  Nat Commun       Date:  2022-01-11       Impact factor: 14.919

8.  Boundary curvature guided programmable shape-morphing kirigami sheets.

Authors:  Yaoye Hong; Yinding Chi; Shuang Wu; Yanbin Li; Yong Zhu; Jie Yin
Journal:  Nat Commun       Date:  2022-01-26       Impact factor: 17.694

Review 9.  Flexible Sensory Systems: Structural Approaches.

Authors:  Chan Park; Byeongjun Lee; Jungmin Kim; Haran Lee; Jeongbeom Kang; Jongwon Yoon; Jonghyeon Ban; Chiwon Song; Seong J Cho
Journal:  Polymers (Basel)       Date:  2022-03-18       Impact factor: 4.329

10.  MetaMembranes for the Sensitivity Enhancement of Wearable Piezoelectric MetaSensors.

Authors:  Saman Farhangdoust; Gary Georgeson; Jeong-Beom Ihn
Journal:  Sensors (Basel)       Date:  2022-03-01       Impact factor: 3.576

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