| 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 Author | Zhou, L.(lizhou@ytu.edu.cn) ; Xiao, B. L.(blxiao@imr.ac.cn) |
| 2021-08-20 | |
| Source Publication | ACTA METALLURGICA SINICA-ENGLISH LETTERS
 |
| ISSN | 1006-7191 |
| Pages | 14 |
| Abstract | 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. |
| Keyword | Multi-scale finite element model Thermal conductivity GNP Al composites Shape Aspect ratio Configuration |
| Funding Organization | 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 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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 Research Area | Metallurgy & Metallurgical Engineering |
| WOS Subject | Metallurgy & Metallurgical Engineering |
| WOS ID | WOS:000686862900001 |
| Publisher | CHINESE ACAD SCIENCES, INST METAL RESEARCH |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/159287 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Zhou, L.; Xiao, B. L. |
| Affiliation | 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 |
| 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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