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铜-石墨烯复合结构对热传输效率的影响。

The Effect of Copper-Graphene Composite Architecture on Thermal Transport Efficiency.

作者信息

Kazakov Arseny M, Korznikova Galiia F, Tuvalev Ilyas I, Izosimov Artem A, Korznikova Elena A

机构信息

Research Laboratory "Metals and Alloys under Extreme Impacts", Ufa University of Science and Technology, 450076 Ufa, Russia.

Institute of Metal Superplasticity Problems (IMSP), 450001 Ufa, Russia.

出版信息

Materials (Basel). 2023 Nov 17;16(22):7199. doi: 10.3390/ma16227199.

DOI:10.3390/ma16227199
PMID:38005128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10673275/
Abstract

This paper presents the results of molecular dynamic modeling, revealing that inserting confined graphene layers into copper crystal reduces the thermal conductivity of the whole composite, and the coefficient of thermal conductivity decreases upon an increase in the number of graphene layers. The injection of one, two, and three layers of 15 nm graphene leads to a change in the coefficient of thermal conductivity from 380 W/(m·K) down to 205.9, 179.1, and 163.6 W/(m·K), respectively. Decreasing the length of graphene layers leads to a decrease in the density of defects on which heat is dissipated. With one, two, and three layers of 8 nm graphene, the coefficient of thermal conductivity of the composite is equal to 272.6, 246.8, and 240.8 W/(m·K), appropriately. Meanwhile the introduction of an infinite graphene layer results in the growth of to 414.2-803.3 W/(m·K).

摘要

本文展示了分子动力学模拟的结果,结果表明将受限的石墨烯层插入铜晶体中会降低整个复合材料的热导率,并且热导率系数会随着石墨烯层数的增加而降低。注入一层、两层和三层15纳米的石墨烯会导致热导率系数分别从380瓦/(米·开尔文)降至205.9、179.1和163.6瓦/(米·开尔文)。缩短石墨烯层的长度会导致热量耗散所依赖的缺陷密度降低。对于一层、两层和三层8纳米的石墨烯,复合材料的热导率系数分别相应地等于272.6、246.8和240.8瓦/(米·开尔文)。同时,引入无限厚的石墨烯层会使热导率增至414.2 - 803.3瓦/(米·开尔文)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3187d64a0b0d/materials-16-07199-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/4d0694b9531d/materials-16-07199-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3947850282da/materials-16-07199-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3a211122f866/materials-16-07199-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/94b09231bbb8/materials-16-07199-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/18e6ac4fed4f/materials-16-07199-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/8ceeda518c00/materials-16-07199-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/bff0f36ed7be/materials-16-07199-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/2bf6abb20467/materials-16-07199-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3187d64a0b0d/materials-16-07199-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/4d0694b9531d/materials-16-07199-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3947850282da/materials-16-07199-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3a211122f866/materials-16-07199-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/94b09231bbb8/materials-16-07199-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/18e6ac4fed4f/materials-16-07199-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/8ceeda518c00/materials-16-07199-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/bff0f36ed7be/materials-16-07199-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/2bf6abb20467/materials-16-07199-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fbc/10673275/3187d64a0b0d/materials-16-07199-g009.jpg

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RSC Adv. 2019 Dec 2;9(68):39883-39892. doi: 10.1039/c9ra07962a.
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