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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
Corresponding AuthorZhou, L.(lizhou@ytu.edu.cn) ; Xiao, B. L.(blxiao@imr.ac.cn)
2021-08-20
Source PublicationACTA METALLURGICA SINICA-ENGLISH LETTERS
ISSN1006-7191
Pages14
AbstractA 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.
KeywordMulti-scale finite element model Thermal conductivity GNP Al composites Shape Aspect ratio Configuration
Funding OrganizationKey Research Program of Frontier Sciences, CAS ; National Natural Science Foundation of China ; National Key R&D Program of China
DOI10.1007/s40195-021-01298-y
Indexed BySCI
Language英语
Funding ProjectKey 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 Research AreaMetallurgy & Metallurgical Engineering
WOS SubjectMetallurgy & Metallurgical Engineering
WOS IDWOS:000686862900001
PublisherCHINESE ACAD SCIENCES, INST METAL RESEARCH
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/159287
Collection中国科学院金属研究所
Corresponding AuthorZhou, L.; Xiao, B. L.
Affiliation1.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
Recommended Citation
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.
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