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Tailoring thermal insulation architectures from additive manufacturing
Tailoring thermal transport by structural parameters could result in mechanically fragile and brittle networks. An indispensable goal is to design hierarchical architecture materials that combine thermal and mechanical properties in a continuous and cohesive network. A promising strategy to create s...
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/PMC9314391/ https://www.ncbi.nlm.nih.gov/pubmed/35879371 http://dx.doi.org/10.1038/s41467-022-32027-3 |
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author | An, Lu Guo, Zipeng Li, Zheng Fu, Yu Hu, Yong Huang, Yulong Yao, Fei Zhou, Chi Ren, Shenqiang |
author_facet | An, Lu Guo, Zipeng Li, Zheng Fu, Yu Hu, Yong Huang, Yulong Yao, Fei Zhou, Chi Ren, Shenqiang |
author_sort | An, Lu |
collection | PubMed |
description | Tailoring thermal transport by structural parameters could result in mechanically fragile and brittle networks. An indispensable goal is to design hierarchical architecture materials that combine thermal and mechanical properties in a continuous and cohesive network. A promising strategy to create such a hierarchical network targets additive manufacturing of hybrid porous voxels at nanoscale. Here we describe the convergence of agile additive manufacturing of porous hybrid voxels to tailor hierarchically and mechanically tunable objects. In one strategy, the uniformly distributed porous silica voxels, which form the basis for the control of thermal transport, are non-covalently interfaced with polymeric networks, yielding hierarchic super-elastic architectures with thermal insulation properties. Another additive strategy for achieving mechanical strength involves the versatile orthogonal surface hybridization of porous silica voxels retains its low thermal conductivity of 19.1 mW m(−1 )K(−1), flexible compressive recovery strain (85%), and tailored mechanical strength from 71.6 kPa to 1.5 MPa. The printed lightweight high-fidelity objects promise thermal aging mitigation for lithium-ion batteries, providing a thermal management pathway using 3D printed silica objects. |
format | Online Article Text |
id | pubmed-9314391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93143912022-07-27 Tailoring thermal insulation architectures from additive manufacturing An, Lu Guo, Zipeng Li, Zheng Fu, Yu Hu, Yong Huang, Yulong Yao, Fei Zhou, Chi Ren, Shenqiang Nat Commun Article Tailoring thermal transport by structural parameters could result in mechanically fragile and brittle networks. An indispensable goal is to design hierarchical architecture materials that combine thermal and mechanical properties in a continuous and cohesive network. A promising strategy to create such a hierarchical network targets additive manufacturing of hybrid porous voxels at nanoscale. Here we describe the convergence of agile additive manufacturing of porous hybrid voxels to tailor hierarchically and mechanically tunable objects. In one strategy, the uniformly distributed porous silica voxels, which form the basis for the control of thermal transport, are non-covalently interfaced with polymeric networks, yielding hierarchic super-elastic architectures with thermal insulation properties. Another additive strategy for achieving mechanical strength involves the versatile orthogonal surface hybridization of porous silica voxels retains its low thermal conductivity of 19.1 mW m(−1 )K(−1), flexible compressive recovery strain (85%), and tailored mechanical strength from 71.6 kPa to 1.5 MPa. The printed lightweight high-fidelity objects promise thermal aging mitigation for lithium-ion batteries, providing a thermal management pathway using 3D printed silica objects. Nature Publishing Group UK 2022-07-25 /pmc/articles/PMC9314391/ /pubmed/35879371 http://dx.doi.org/10.1038/s41467-022-32027-3 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 An, Lu Guo, Zipeng Li, Zheng Fu, Yu Hu, Yong Huang, Yulong Yao, Fei Zhou, Chi Ren, Shenqiang Tailoring thermal insulation architectures from additive manufacturing |
title | Tailoring thermal insulation architectures from additive manufacturing |
title_full | Tailoring thermal insulation architectures from additive manufacturing |
title_fullStr | Tailoring thermal insulation architectures from additive manufacturing |
title_full_unstemmed | Tailoring thermal insulation architectures from additive manufacturing |
title_short | Tailoring thermal insulation architectures from additive manufacturing |
title_sort | tailoring thermal insulation architectures from additive manufacturing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314391/ https://www.ncbi.nlm.nih.gov/pubmed/35879371 http://dx.doi.org/10.1038/s41467-022-32027-3 |
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