Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites

doi:10.1007/s40195-021-01298-y

IMR OpenIR

	Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites
	Yang, X. S.1; Zhou, L.1; Liu, K. Y.1; Liu, Z. Y.2; Wang, Q. Z.2; Xiao, B. L.2; Ma, Z. Y.2
通讯作者	Zhou, L.(lizhou@ytu.edu.cn) ; Xiao, B. L.(blxiao@imr.ac.cn)
	2021-08-20
发表期刊	ACTA METALLURGICA SINICA-ENGLISH LETTERS
ISSN	1006-7191
页码	14
摘要	A 3D multi-scale finite element model was developed to predict the effective thermal conductivity of graphene nanoplatelet (GNP)/Al composites. The factors influencing the effective thermal conductivity of the GNP/Al composites were investigated, including the orientation, shape, aspect ratio, configuration and volume fraction of GNPs. The results show that GNPs shape has a little influence on the thermal conductivity of GNP/Al composites, and composites with elliptic GNPs have the highest thermal conductivity. In addition, with increasing the aspect ratio of GNPs, the thermal conductivity of GNP/Al composites increases and finally tends to be stable. The GNPs configuration strongly influences the thermal conductivity of GNP/Al composites, and the thermal conductivity of the composites with layered GNPs is the highest among the five configurations. The effective thermal conductivity is sensitive to volume fraction of GNPs. Ideally, when the volume fraction of layered GNPs reaches 1.54%, the thermal conductivity of GNP/Al composites is as high as 400 W/m K. The findings of this study could provide a good theoretical basis for designing high thermal conductivity GNP/Al composites.
关键词	Multi-scale finite element model Thermal conductivity GNP Al composites Shape Aspect ratio 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	10.1007/s40195-021-01298-y
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	Metallurgy & Metallurgical Engineering
WOS类目	Metallurgy & Metallurgical Engineering
WOS记录号	WOS:000686862900001
出版者	CHINESE ACAD SCIENCES, INST METAL RESEARCH
引用统计	被引频次：5[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/321006/159287
专题	中国科学院金属研究所
通讯作者	Zhou, L.; Xiao, B. L.
作者单位	1.Yantai Univ, Sch Electromech & Automot Engn, Yantai 264005, Peoples R China 2.Chinese Acad Sci, Shi Changxu Innovat Ctr Adv Mat, Inst Met Res, Shenyang 110016, Peoples R China
推荐引用方式 GB/T 7714	Yang, X. S.,Zhou, L.,Liu, K. Y.,et al. Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites[J]. ACTA METALLURGICA SINICA-ENGLISH LETTERS,2021:14.
APA	Yang, X. S..,Zhou, L..,Liu, K. Y..,Liu, Z. Y..,Wang, Q. Z..,...&Ma, Z. Y..(2021).Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites.ACTA METALLURGICA SINICA-ENGLISH LETTERS,14.
MLA	Yang, X. S.,et al."Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites".ACTA METALLURGICA SINICA-ENGLISH LETTERS (2021):14.