The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Strong Nanocomposite Reinforcement Effects in Polyurethane Elastomer with Low Volume Fraction of Cellulose Nanocrystals
Abstract
Polyurethane/cellulose nanocrystal nanocomposites with ultrahigh tensile strength and stain-to-failure with strongly improved modulus were prepared by adding cellulose nanocrystals (CNCs) during the preparation of prepolymer. The nanostructure of this polyurethane consisted of individualized nanocellulose crystals covalently bonded and specifically associated with the hard polyurethane (PU) microdomains as characterized by Fourier transform infrared spectroscopy and transmission electron microscopy. The storage modulus and thermal stability of the nanocomposites were significantly improved as measured by dynamic mechanical analysis. This was due to a combination of CNCs reinforcement in the soft matrix and increased effective cross-link density of the elastomer network due to CNC–PU molecular interaction. Tensile test revealed that the nanocomposites have both higher tensile strength and strain-to-failure. In particular, with only 1 wt % of cellulose nanocrystals incorporated, an 8-fold increase in tensile strength and 1.3-fold increase in strain-to-failure were achieved, respectively. Such high strength indicates that CNCs orient strongly at high strains and may also induce synergistic PU orientation effects contributing to the dramatic strength enhancement. The present elastomer nanocomposite outperforms conventional rubbery materials and polyurethane nanocomposites reinforced with microcrystalline cellulose, carbon nanotubes, or nanoclays.
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Citations
Cites
Cellulose nanocrystals: chemistry, self-assembly, and applications
Habibi, Y., Lucia, L. A., & Rojas, O. J. (2010) · Chemical Reviews · doi:10.1021/cr900339w · Cited by 5,980
Polymer nanocomposites reinforced by cellulose whiskers
Favier, V., Chanzy, H., & Cavaille, J. Y. (1995) · Macromolecules · doi:10.1021/ma00122a053 · Cited by 1,149
Effect of microcrystallite preparation conditions on the formation of colloid crystals of cellulose
DONG, X. M., REVOL, J.-F., & GRAY, D. G. (1998) · Cellulose · doi:10.1023/a:1009260511939 · Cited by 1,032
Elastic modulus of single cellulose microfibrils from tunicate measured by atomic force microscopy
Iwamoto, S., Kai, W., Isogai, A., & Iwata, T. (2009) · Biomacromolecules · doi:10.1021/bm900520n · Cited by 754
A high strength nanocomposite based on microcrystalline cellulose and polyurethane
Wu, Q., Henriksson, M., Liu, X., & Berglund, L. A. (2007) · Biomacromolecules · doi:10.1021/bm701061t · Cited by 265
Self-citationDispersion of cellulose nanocrystals in polar organic solvents
Viet, D., Beck-Candanedo, S., & Gray, D. G. (2007) · Cellulose · doi:10.1007/s10570-006-9093-9 · Cited by 224
Characterization of nanocellulose‐ reinforced shape memory polyurethanes
Auad, M. L., Contos, V. S., Nutt, S., Aranguren, M. I., & Marcovich, N. E. (2008) · Polymer International · doi:10.1002/pi.2394 · Cited by 188
Cited by
Production of nanocrystalline cellulose from lignocellulosic biomass: Technology and applications
Brinchi, L., Cotana, F., Fortunati, E., & Kenny, J. M. (2013) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2013.01.033 · Cited by 1,121
On the use of nanocellulose as reinforcement in polymer matrix composites
Lee, K.-Y., Aitomäki, Y., Berglund, L. A., Oksman, K., & Bismarck, A. (2014) · Composites Science and Technology · doi:10.1016/j.compscitech.2014.08.032 · Cited by 819
Self-citationBioinspired wood nanotechnology for functional materials
Berglund, L. A., & Burgert, I. (2018) · Advanced Materials · doi:10.1002/adma.201704285 · Cited by 518
Self-citationBioinspired mechanically adaptive polymer nanocomposites with water-activated shape-memory effect
Mendez, J., Annamalai, P. K., Eichhorn, S. J., Rusli, R., Rowan, S. J., Foster, E. J., & Weder, C. (2011) · Macromolecules · doi:10.1021/ma201502k · Cited by 319
Yang, J., Han, C.-R., Duan, J.-F., Xu, F., & Sun, R.-C. (2013) · ACS Applied Materials & Interfaces · doi:10.1021/am4001997 · Cited by 261
Liu, Y., Li, Y., Yang, G., Zheng, X., & Zhou, S. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/am5081056 · Cited by 214
Saralegi, A., Gonzalez, M. L., Valea, A., Eceiza, A., & Corcuera, M. A. (2014) · Composites Science and Technology · doi:10.1016/j.compscitech.2013.12.001 · Cited by 97
Sonseca, Á., Camarero‐Espinosa, S., Peponi, L., Weder, C., Foster, E. J., Kenny, J. M., & Giménez, E. (2014) · Journal of Polymer Science Part A Polymer Chemistry · doi:10.1002/pola.27367 · Cited by 48
Metadata
- Authors
- Pei, A., Malho, J.-M., Ruokolainen, J., Zhou, Q., & Berglund, L. A.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-05-10
- Volume
- 44
- Issue
- 11
- Pages
- 4422-4427
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2059414533
- Cited by
- 421
- References
- 7
- FWCI
- 9.14
- 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).
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