Cargando…

Programmable gear-based mechanical metamaterials

Elastic properties of classical bulk materials can hardly be changed or adjusted in operando, while such tunable elasticity is highly desired for robots and smart machinery. Although possible in reconfigurable metamaterials, continuous tunability in existing designs is plagued by issues such as stru...

Descripción completa

Detalles Bibliográficos
Autores principales: Fang, Xin, Wen, Jihong, Cheng, Li, Yu, Dianlong, Zhang, Hongjia, Gumbsch, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345786/
https://www.ncbi.nlm.nih.gov/pubmed/35681063
http://dx.doi.org/10.1038/s41563-022-01269-3
_version_ 1784761508380540928
author Fang, Xin
Wen, Jihong
Cheng, Li
Yu, Dianlong
Zhang, Hongjia
Gumbsch, Peter
author_facet Fang, Xin
Wen, Jihong
Cheng, Li
Yu, Dianlong
Zhang, Hongjia
Gumbsch, Peter
author_sort Fang, Xin
collection PubMed
description Elastic properties of classical bulk materials can hardly be changed or adjusted in operando, while such tunable elasticity is highly desired for robots and smart machinery. Although possible in reconfigurable metamaterials, continuous tunability in existing designs is plagued by issues such as structural instability, weak robustness, plastic failure and slow response. Here we report a metamaterial design paradigm using gears with encoded stiffness gradients as the constituent elements and organizing gear clusters for versatile functionalities. The design enables continuously tunable elastic properties while preserving stability and robust manoeuvrability, even under a heavy load. Such gear-based metamaterials enable excellent properties such as continuous modulation of Young’s modulus by two orders of magnitude, shape morphing between ultrasoft and solid states, and fast response. This allows for metamaterial customization and brings fully programmable materials and adaptive robots within reach.
format Online
Article
Text
id pubmed-9345786
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-93457862022-08-04 Programmable gear-based mechanical metamaterials Fang, Xin Wen, Jihong Cheng, Li Yu, Dianlong Zhang, Hongjia Gumbsch, Peter Nat Mater Article Elastic properties of classical bulk materials can hardly be changed or adjusted in operando, while such tunable elasticity is highly desired for robots and smart machinery. Although possible in reconfigurable metamaterials, continuous tunability in existing designs is plagued by issues such as structural instability, weak robustness, plastic failure and slow response. Here we report a metamaterial design paradigm using gears with encoded stiffness gradients as the constituent elements and organizing gear clusters for versatile functionalities. The design enables continuously tunable elastic properties while preserving stability and robust manoeuvrability, even under a heavy load. Such gear-based metamaterials enable excellent properties such as continuous modulation of Young’s modulus by two orders of magnitude, shape morphing between ultrasoft and solid states, and fast response. This allows for metamaterial customization and brings fully programmable materials and adaptive robots within reach. Nature Publishing Group UK 2022-06-09 2022 /pmc/articles/PMC9345786/ /pubmed/35681063 http://dx.doi.org/10.1038/s41563-022-01269-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fang, Xin
Wen, Jihong
Cheng, Li
Yu, Dianlong
Zhang, Hongjia
Gumbsch, Peter
Programmable gear-based mechanical metamaterials
title Programmable gear-based mechanical metamaterials
title_full Programmable gear-based mechanical metamaterials
title_fullStr Programmable gear-based mechanical metamaterials
title_full_unstemmed Programmable gear-based mechanical metamaterials
title_short Programmable gear-based mechanical metamaterials
title_sort programmable gear-based mechanical metamaterials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345786/
https://www.ncbi.nlm.nih.gov/pubmed/35681063
http://dx.doi.org/10.1038/s41563-022-01269-3
work_keys_str_mv AT fangxin programmablegearbasedmechanicalmetamaterials
AT wenjihong programmablegearbasedmechanicalmetamaterials
AT chengli programmablegearbasedmechanicalmetamaterials
AT yudianlong programmablegearbasedmechanicalmetamaterials
AT zhanghongjia programmablegearbasedmechanicalmetamaterials
AT gumbschpeter programmablegearbasedmechanicalmetamaterials