The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An Approach to Obtaining Homogeneously Dispersed Carbon Nanotubes in Al Powders for Preparing Reinforced Al‐Matrix Composites
Abstract
Composite powders of carbon nanotubes (CNTs) and aluminum in which the CNTs are homogeneously dispersed within the Al powder are prepared with an in situ method. Uniform Ni nanoparticles are scattered evenly on the surfaces of Al powders, followed by CNT synthesis through chemical vapor deposition. The hardness and tensile strength of the CNT(Ni)–Al matrix composites are improved compared to aluminum.
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Citations
Cites
Photomechanical actuation in polymer–nanotube composites
Ahir, S. V., & Terentjev, E. M. (2005) · Nature Materials · doi:10.1038/nmat1391 · Cited by 423
Cited by
Carbon Nanotube Mass Production: Principles and Processes
Zhang, Q., Huang, J., Zhao, M., Qian, W., & Wei, F. (2011) · ChemSusChem · doi:10.1002/cssc.201100177 · Cited by 389
Ge, X., Gu, C., Wang, X., & Tu, J. (2017) · Journal of Materials Chemistry A · doi:10.1039/c7ta01659j · Cited by 372
Metadata
- Authors
- He, C., Zhao, N., Shi, C., Du, X., Li, J., Li, H., & Cui, Q.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2007-04-16
- Volume
- 19
- Issue
- 8
- Pages
- 1128-1132
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2121787114
- Cited by
- 361
- References
- 1
- FWCI
- 19.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An Approach to Obtaining Homogeneously Dispersed Carbon Nanotubes in Al Powders for Preparing Reinforced Al‐Matrix Composites. https://app.cochat.ai/papers/10.1002/adma.200601381
- The paper
- He, C., Zhao, N., Shi, C., Du, X., Li, J., Li, H., & Cui, Q. (2007). An Approach to Obtaining Homogeneously Dispersed Carbon Nanotubes in Al Powders for Preparing Reinforced Al‐Matrix Composites. Advanced Materials. https://doi.org/10.1002/adma.200601381
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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.
