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Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites

Electronic devices generate heat during operation and require efficient thermal management to extend the lifetime and prevent performance degradation. Featured by its exceptional thermal conductivity, graphene is an ideal functional filler for fabricating thermally conductive polymer composites to p...

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Autores principales: Zhao, Hao-Yu, Yu, Ming-Yuan, Liu, Ji, Li, Xiaofeng, Min, Peng, Yu, Zhong-Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198159/
https://www.ncbi.nlm.nih.gov/pubmed/35699797
http://dx.doi.org/10.1007/s40820-022-00878-6
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author Zhao, Hao-Yu
Yu, Ming-Yuan
Liu, Ji
Li, Xiaofeng
Min, Peng
Yu, Zhong-Zhen
author_facet Zhao, Hao-Yu
Yu, Ming-Yuan
Liu, Ji
Li, Xiaofeng
Min, Peng
Yu, Zhong-Zhen
author_sort Zhao, Hao-Yu
collection PubMed
description Electronic devices generate heat during operation and require efficient thermal management to extend the lifetime and prevent performance degradation. Featured by its exceptional thermal conductivity, graphene is an ideal functional filler for fabricating thermally conductive polymer composites to provide efficient thermal management. Extensive studies have been focusing on constructing graphene networks in polymer composites to achieve high thermal conductivities. Compared with conventional composite fabrications by directly mixing graphene with polymers, preconstruction of three-dimensional graphene networks followed by backfilling polymers represents a promising way to produce composites with higher performances, enabling high manufacturing flexibility and controllability. In this review, we first summarize the factors that affect thermal conductivity of graphene composites and strategies for fabricating highly thermally conductive graphene/polymer composites. Subsequently, we give the reasoning behind using preconstructed three-dimensional graphene networks for fabricating thermally conductive polymer composites and highlight their potential applications. Finally, our insight into the existing bottlenecks and opportunities is provided for developing preconstructed porous architectures of graphene and their thermally conductive composites. [Image: see text]
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spelling pubmed-91981592022-06-16 Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites Zhao, Hao-Yu Yu, Ming-Yuan Liu, Ji Li, Xiaofeng Min, Peng Yu, Zhong-Zhen Nanomicro Lett Review Electronic devices generate heat during operation and require efficient thermal management to extend the lifetime and prevent performance degradation. Featured by its exceptional thermal conductivity, graphene is an ideal functional filler for fabricating thermally conductive polymer composites to provide efficient thermal management. Extensive studies have been focusing on constructing graphene networks in polymer composites to achieve high thermal conductivities. Compared with conventional composite fabrications by directly mixing graphene with polymers, preconstruction of three-dimensional graphene networks followed by backfilling polymers represents a promising way to produce composites with higher performances, enabling high manufacturing flexibility and controllability. In this review, we first summarize the factors that affect thermal conductivity of graphene composites and strategies for fabricating highly thermally conductive graphene/polymer composites. Subsequently, we give the reasoning behind using preconstructed three-dimensional graphene networks for fabricating thermally conductive polymer composites and highlight their potential applications. Finally, our insight into the existing bottlenecks and opportunities is provided for developing preconstructed porous architectures of graphene and their thermally conductive composites. [Image: see text] Springer Nature Singapore 2022-06-14 /pmc/articles/PMC9198159/ /pubmed/35699797 http://dx.doi.org/10.1007/s40820-022-00878-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Zhao, Hao-Yu
Yu, Ming-Yuan
Liu, Ji
Li, Xiaofeng
Min, Peng
Yu, Zhong-Zhen
Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites
title Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites
title_full Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites
title_fullStr Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites
title_full_unstemmed Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites
title_short Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites
title_sort efficient preconstruction of three-dimensional graphene networks for thermally conductive polymer composites
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198159/
https://www.ncbi.nlm.nih.gov/pubmed/35699797
http://dx.doi.org/10.1007/s40820-022-00878-6
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