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Carbon nanotube composites
Abstract
Carbon nanotubes are molecular-scale tubes of graphitic carbon with outstanding properties. They are among the stiffest and strongest fibres known, with Young's moduli as high as 1 TPa and tensile strengths of up to 63 GPa. They also have remarkable electronic properties and can be metallic or semiconducting depending on their structure and diameter. There is currently great interest in exploiting these properties by incorporating carbon nanotubes into some form of matrix. A wide range of polymer matrices have been employed, and there is growing interest in nanotube/ceramic and nanotube/metal composites. This review outlines the properties of carbon nanotubes and describes the preparation and properties of carbon nanotube composites. The prospects for commercial exploitation of these materials are discussed.
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Citations
Cites
Thermal Transport Measurements of Individual Multiwalled Nanotubes
Kim, P., Shi, L., Majumdar, A., & McEuen, P. L. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.215502 · Cited by 3,378
Metal-matrix composites for space applications
Rawal, S. P. (2001) · JOM · doi:10.1007/s11837-001-0139-z · Cited by 639
Cited by
Recent Advances in Research on Carbon Nanotube–Polymer Composites
Byrne, M. T., & Gun'ko, Y. K. (2010) · Advanced Materials · doi:10.1002/adma.200901545 · Cited by 873
Photomechanical actuation in polymer–nanotube composites
Ahir, S. V., & Terentjev, E. M. (2005) · Nature Materials · doi:10.1038/nmat1391 · Cited by 423
Thermal properties and percolation in carbon nanotube-polymer composites
Bonnet, P., Sireude, D., Garnier, B., & Chauvet, O. (2007) · Applied Physics Letters · doi:10.1063/1.2813625 · Cited by 332
Chu, B. T. T., Tobias, G., Salzmann, C. G., Ballesteros, B., Grobert, N., Todd, R. I., & Green, M. L. H. (2008) · Journal of Materials Chemistry · doi:10.1039/b809369e · Cited by 69
Metadata
- Authors
- Harris, P. J. F.
- Venue
- International Materials Reviews
- Publisher
- SAGE Publications
- Published
- 2004-02
- Volume
- 49
- Issue
- 1
- Pages
- 31-43
- ISSN
- 0950-6608 (ISSN-L)
- 1743-2804
- OpenAlex
- W2059463505
- Cited by
- 739
- References
- 2
- FWCI
- 17.91
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
