The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Effect of Graphene Nanoplatelets addition on mechanical properties of pure aluminum using a semi-powder method
Open accessAbstract
In recent years, graphene has attracted considerable research interest in all fields of science due to its unique properties. Its excellent mechanical properties lead it to be used in nano-composites for strength enhancement. This paper reports an Aluminum–Graphene Nanoplatelets (Al/GNPs) composite using a semi-powder method followed by hot extrusion. The effect of GNP nano-particle integration on tensile, compressive and hardness response of Al is investigated in this paper. It is demonstrated that 0.3 wt% Graphene Nanoplatelets distributed homogeneously in the matrix aluminum act as an effective reinforcing filler to prevent deformation. Compared to monolithic aluminum (in tension), Al–0.3 wt% GNPs composite exhibited higher 0.2% yield strength (+14.7%), ultimate tensile strength (+11.1%) and lower failure strain (−40.6%). Surprisingly, compared to monolithic Al (in compression), Al–0.3 wt% GNPs composite exhibited same 0.2% compressive yield strength and lower ultimate compression strength (−7.8%), and lower failure strain (−20.2%). The Al–0.3 wt% GNPs composite exhibited higher Vickers hardness compared to monolithic aluminum (+11.8%). Scanning electron microscopy (SEM), Energy-Dispersive X-ray Spectroscopy (EDS) and X-ray diffraction (XRD) were used to investigate the surface morphology, elemental percentage composition, and phase analysis, respectively.
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Cites
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene
Lee, C., Wei, X., Kysar, J. W., & Hone, J. (2008) · Science · doi:10.1126/science.1157996 · Cited by 20,847
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Ultrahigh electron mobility in suspended graphene
Bolotin, K. I., Sikes, K. J., Jiang, Z., Klima, M., Fudenberg, G., Hone, J., Kim, P., & Stormer, H. L. (2008) · Solid State Communications · doi:10.1016/j.ssc.2008.02.024 · Cited by 8,057
Phase Transformations in Metals and Alloys
Porter, D. A., & Easterling, K. E. (1992) · doi:10.1007/978-1-4899-3051-4 · Cited by 4,904
(1962) · Journal of the Franklin Institute · doi:10.1016/s0016-0032(62)91145-6 · Cited by 4,391
Graphene–Multilayer Graphene Nanocomposites as Highly Efficient Thermal Interface Materials
Shahil, K. M. F., & Balandin, A. A. (2012) · Nano Letters · doi:10.1021/nl203906r · Cited by 1,467
Carbon nanotube reinforced metal matrix composites - a review
Bakshi, S. R., Lahiri, D., & Agarwal, A. (2010) · International Materials Reviews · doi:10.1179/095066009x12572530170543 · Cited by 1,446
Reinforcement with graphene nanosheets in aluminum matrix composites
Wang, J., Li, Z., Fan, G., Pan, H., Chen, Z., & Zhang, D. (2012) · Scripta Materialia · doi:10.1016/j.scriptamat.2012.01.012 · Cited by 882
Thermal properties of graphene and multilayer graphene: Applications in thermal interface materials
Shahil, K. M. F., & Balandin, A. A. (2012) · Solid State Communications · doi:10.1016/j.ssc.2012.04.034 · Cited by 829
Cited by
Strengthening behavior of few-layered graphene/aluminum composites
Shin, S. E., Choi, H. J., Shin, J. H., & Bae, D. H. (2015) · Carbon · doi:10.1016/j.carbon.2014.10.044 · Cited by 477
Metadata
- Authors
- Rashad, M., Pan, F., Tang, A., & Asif, M.
- Venue
- Progress in Natural Science: Materials International
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 24
- Issue
- 2
- Pages
- 101-108
- ISSN
- 1002-0071 (ISSN-L)
- OpenAlex
- W2010605527
- Cited by
- 489
- References
- 18
- FWCI
- 37.79
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Rashad, M., Pan, F., Tang, A., & Asif, M. (2014). Effect of Graphene Nanoplatelets addition on mechanical properties of pure aluminum using a semi-powder method. Progress in Natural Science: Materials International. https://doi.org/10.1016/j.pnsc.2014.03.012
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
