Tailoring thermal insulation architectures from additive manufacturing

被引：38

作者：

An L. ^{[1
]}

Guo Z. ^{[2
]}

Li Z. ^{[1
]}

Fu Y. ^{[3
]}

Hu Y. ^{[1
]}

Huang Y. ^{[1
]}

Yao F. ^{[3
]}

Zhou C. ^{[2
]}

Ren S. ^{[1
,4
,5
]}

机构：

[1] Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, NY

[2] Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY

[3] Department of Materials Design and Innovation, University at Buffalo, The State University of New York, Buffalo, NY

[4] Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY

[5] Research and Education in Energy, Environment & Water (RENEW) Institute, University at Buffalo, The State University of New York, Buffalo, NY

来源：

Nature Communications | / 13卷 / 1期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1038/s41467-022-32027-3

中图分类号：

学科分类号：

摘要：

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−1K−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. © 2022, The Author(s).

引用

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