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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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 |
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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 |
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