The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Polymer and ceramic nanocomposites for aerospace applications
Open accessAbstract
This paper reviews the potential of polymer and ceramic matrix composites for aerospace/space vehicle applications. Special, unique and multifunctional properties arising due to the dispersion of nanoparticles in ceramic and metal matrix are briefly discussed followed by a classification of resulting aerospace applications. The paper presents polymer matrix composites comprising majority of aerospace applications in structures, coating, tribology, structural health monitoring, electromagnetic shielding and shape memory applications. The capabilities of the ceramic matrix nanocomposites to providing the electromagnetic shielding for aircrafts and better tribological properties to suit space environments are discussed. Structural health monitoring capability of ceramic matrix nanocomposite is also discussed. The properties of resulting nanocomposite material with its disadvantages like cost and processing difficulties are discussed. The paper concludes after the discussion of the possible future perspectives and challenges in implementation and further development of polymer and ceramic nanocomposite materials.
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Cites
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BackgroundRESISTANCE OF SOLID SURFACES TO WETTING BY WATER
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Cited by
Gopinath, S., Adarsh, N. N., Radhakrishnan Nair, P., & Mathew, S. (2020) · Materials Today Communications · doi:10.1016/j.mtcomm.2019.100802 · Cited by 47
Metadata
- Authors
- Rathod, V. T., Kumar, J. S., & Jain, A.
- Venue
- Applied Nanoscience
- Published
- 2017-09-09
- Volume
- 7
- Issue
- 8
- Pages
- 519-548
- ISSN
- 2190-5509 (ISSN-L)
- 2190-5517
- OpenAlex
- W2751042164
- Cited by
- 264
- References
- 100
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.