Micro-scale prediction of effective thermal conductivity of CNT/Al composites by finite element method

doi:10.1016/j.ijthermalsci.2021.107206

IMR OpenIR

	Micro-scale prediction of effective thermal conductivity of CNT/Al composites by finite element method
	Zhou, L.2; Yuan, T. B.2; Yang, X. S.2; Liu, Z. Y.1; Wang, Q. Z.1; Xiao, B. L.1; Ma, Z. Y.1
通讯作者	Xiao, B. L.(blxiao@imr.ac.cn)
	2022
发表期刊	INTERNATIONAL JOURNAL OF THERMAL SCIENCES
ISSN	1290-0729
卷号	171 页码:11
摘要	Thermal conductivity of CNT/Al composites is considered to be an important property on composites design. However, the effect of microstructure on thermal conductivity has few been reported. In this study, a 3D multiscale finite element model was developed to predict the effective thermal conductivity of CNT/Al composites, and the influences of CNT configuration, heat transfer direction, interfacial thermal resistance and volume fraction were investigated in detail. Five configurations of CNT were constructed including randomly arranged, evenly oriented, layered, bundled and networked. The results show that the CNT configuration plays a major role for the effective thermal conductivity of CNT/Al composites. The CNT/Al composite with layered configuration has the highest thermal conductivity, and when the volume fraction of CNTs is about 3.7 %, the CNT/Al composite displays an excellent effective thermal conductivity of 400 W/m.K, which increases about 84 % than that of the Al alloy. Moreover, the interface and thermal loading direction also have obvious effect on the thermal conductivity of the composites. The calculated results are in good agreement with experimental data existing in literature. The obtained findings in this study could provide a good theoretical basis for designing high thermal conductivity CNT/Al composites.
关键词	Effective thermal conductivity Finite element modeling Carbon nanotube Al composites Microscale configuration
资助者	Key Research Program of Frontier Sciences, CAS ; National Natural Science Foundation of China ; National Key R&D Program of China
DOI	10.1016/j.ijthermalsci.2021.107206
收录类别	SCI
语种	英语
资助项目	Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC015] ; National Natural Science Foundation of China[51931009] ; National Natural Science Foundation of China[51871214] ; National Natural Science Foundation of China[51871215] ; National Key R&D Program of China[2017YFB0703104]
WOS研究方向	Thermodynamics ; Engineering
WOS类目	Thermodynamics ; Engineering, Mechanical
WOS记录号	WOS:000703677200003
出版者	ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/166792
专题	中国科学院金属研究所
通讯作者	Xiao, B. L.
作者单位	1.Chinese Acad Sci, Inst Met Res, Shenyang 110016, Peoples R China 2.Yantai Univ, Sch Electromech & Automot Engn, Yantai 264005, Peoples R China
推荐引用方式 GB/T 7714	Zhou, L.,Yuan, T. B.,Yang, X. S.,et al. Micro-scale prediction of effective thermal conductivity of CNT/Al composites by finite element method[J]. INTERNATIONAL JOURNAL OF THERMAL SCIENCES,2022,171:11.
APA	Zhou, L..,Yuan, T. B..,Yang, X. S..,Liu, Z. Y..,Wang, Q. Z..,...&Ma, Z. Y..(2022).Micro-scale prediction of effective thermal conductivity of CNT/Al composites by finite element method.INTERNATIONAL JOURNAL OF THERMAL SCIENCES,171,11.
MLA	Zhou, L.,et al."Micro-scale prediction of effective thermal conductivity of CNT/Al composites by finite element method".INTERNATIONAL JOURNAL OF THERMAL SCIENCES 171(2022):11.