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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
Corresponding AuthorXiao, B. L.(blxiao@imr.ac.cn)
2022
Source PublicationINTERNATIONAL JOURNAL OF THERMAL SCIENCES
ISSN1290-0729
Volume171Pages:11
AbstractThermal 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.
KeywordEffective thermal conductivity Finite element modeling Carbon nanotube Al composites Microscale configuration
Funding OrganizationKey Research Program of Frontier Sciences, CAS ; National Natural Science Foundation of China ; National Key R&D Program of China
DOI10.1016/j.ijthermalsci.2021.107206
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 AreaThermodynamics ; Engineering
WOS SubjectThermodynamics ; Engineering, Mechanical
WOS IDWOS:000703677200003
PublisherELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/166792
Collection中国科学院金属研究所
Corresponding AuthorXiao, B. L.
Affiliation1.Chinese Acad Sci, Inst Met Res, Shenyang 110016, Peoples R China
2.Yantai Univ, Sch Electromech & Automot Engn, Yantai 264005, Peoples R China
Recommended Citation
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.
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