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Topology-optimized thermal metamaterials traversing full-parameter anisotropic space

Authors :
Wei Sha
Run Hu
Mi Xiao
Sheng Chu
Zhan Zhu
Cheng-Wei Qiu
Liang Gao
Source :
npj Computational Materials, Vol 8, Iss 1, Pp 1-10 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract It is widely adopted in thermal metamaterials that mixing different materials could conveniently result in effective thermal conductivities (ETCs) beyond naturally-occurring materials. When multiple materials are isotropically mixed, the ETC is a direct average governed by their filling fractions and given bulk conductivities. That could lead to an inhomogeneous and anisotropic value within the maximal and minimal thermal conductivities of constituent materials. Usually thermal metadevices rely on anisotropic thermal conductivity tensor, whose tensorial elements are frequently inter-dependent and confined within a limited parametric space. It is thus nontrivial to establish a design recipe for advanced thermal metamaterials whose ETCs could cover full-parameter anisotropic space. We demonstrate topological functional cells (TFCs) with copper and polydimethylsiloxane, and show that the anisotropic ETCs traverse their full-parameter space. Such robust scheme based on topology-optimized TFCs unlocks unexplored opportunities for functional thermal metadevices whose parameters may not be reached in previous mixing approaches. This study also sheds light on the developments in emerging acoustic, mechanical and electromagnetic composite materials.

Details

Language :
English
ISSN :
20573960
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Computational Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.8f506cb23f4466ba33b13f6c7ac6dd
Document Type :
article
Full Text :
https://doi.org/10.1038/s41524-022-00861-0