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Stress-induced fragmentation of multiwall carbon nanotubes in a polymer matrix
Abstract
We report the observation of single nanotube fragmentation, under tensile stresses, using nanotube-containing thin polymeric films. Similar fragmentation tests with single fibers instead of nanotubes are routinely performed to study the fiber-matrix stress transfer ability in fiber composite materials, and thus the efficiency and quality of composite interfaces. The multiwall nanotube-matrix stress transfer efficiency is estimated to be at least one order of magnitude larger than in conventional fiber-based composites.
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Citations
Cited by
Load transfer in carbon nanotube epoxy composites
Schadler, L. S., Giannaris, S. C., & Ajayan, P. M. (1998) · Applied Physics Letters · doi:10.1063/1.122911 · Cited by 1,657
The revolutionary creation of new advanced materials—carbon nanotube composites
Lau, A. K.-T., & Hui, D. (2002) · Composites Part B: Engineering · doi:10.1016/s1359-8368(02)00012-4 · Cited by 1,020
Li, Y.-H., Ding, J., Luan, Z., Di, Z., Zhu, Y., Xu, C., Wu, D., & Wei, B. (2003) · Carbon · doi:10.1016/s0008-6223(03)00392-0 · Cited by 965
Elastic strain of freely suspended single-wall carbon nanotube ropes
Walters, D. A., Ericson, L. M., Casavant, M. J., Liu, J., Colbert, D. T., Smith, K. A., & Smalley, R. E. (1999) · Applied Physics Letters · doi:10.1063/1.124185 · Cited by 678
Evaluation of Young's Modulus of Carbon Nanotubes by Micro-Raman Spectroscopy
Lourie, O., & Wagner, H. D. (1998) · Journal of Materials Research · doi:10.1557/jmr.1998.0336 · Cited by 527
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Metadata
- Authors
- Wagner, H. D., Lourie, O., Feldman, Y., & Tenne, R.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 1998-01-12
- Volume
- 72
- Issue
- 2
- Pages
- 188-190
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2047898720
- Cited by
- 893
- References
- 0
- FWCI
- 11.81
- 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.
