The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multiscale Carbon Nanotube−Carbon Fiber Reinforcement for Advanced Epoxy Composites
Abstract
We report an approach to the development of advanced structural composites based on engineered multiscale carbon nanotube-carbon fiber reinforcement. Electrophoresis was utilized for the selective deposition of multi- and single-walled carbon nanotubes (CNTs) on woven carbon fabric. The CNT-coated carbon fabric panels were subsequently infiltrated with epoxy resin using vacuum-assisted resin transfer molding (VARTM) to fabricate multiscale hybrid composites in which the nanotubes were completely integrated into the fiber bundles and reinforced the matrix-rich regions. The carbon nanotube/carbon fabric/epoxy composites showed approximately 30% enhancement of the interlaminar shear strength as compared to that of carbon fiber/epoxy composites without carbon nanotubes and demonstrate significantly improved out-of-plane electrical conductivity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Cited by
Zhang, Q., Huang, J., Qian, W., Zhang, Y., & Wei, F. (2013) · Small · doi:10.1002/smll.201203252 · Cited by 759
Das, T. K., Ghosh, P., & Das, N. C. (2019) · Advanced Composites and Hybrid Materials · doi:10.1007/s42114-018-0072-z · Cited by 469
Interlaminar and intralaminar reinforcement of composite laminates with aligned carbon nanotubes
Wicks, S. S., de Villoria, R. G., & Wardle, B. L. (2010) · Composites Science and Technology · doi:10.1016/j.compscitech.2009.09.001 · Cited by 431
Sayam, A., Rahman, A. N. M. M., Rahman, M. S., Smriti, S. A., Ahmed, F., Rabbi, M. F., Hossain, M., & Faruque, M. O. (2022) · Carbon Letters · doi:10.1007/s42823-022-00358-2 · Cited by 308
Metadata
- Authors
- Bekyarova, E., Thostenson, E. T., Yu, A., Kim, H., Gao, J., Tang, J., Hahn, H. T., Chou, T.-W., Itkis, M. E., & Haddon, R. C.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-02-28
- Volume
- 23
- Issue
- 7
- Pages
- 3970-3974
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2084510125
- Cited by
- 885
- References
- 1
- FWCI
- 13.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.