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Cited by 819

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

On the use of nanocellulose as reinforcement in polymer matrix composites

Open access
Lee, Koon-Yang, Aitomäki, Yvonne, Berglund, Lars A., Oksman, Kristiina, Bismarck, Alexander·2014·Composites Science and Technology

Abstract

Nanocellulose is often being regarded as the next generation renewable reinforcement for the production of high performance biocomposites. This feature article reviews the various nanocellulose reinforced polymer composites reported in literature and discusses the potential of nanocellulose as reinforcement for the production of renewable high performance polymer nanocomposites. The theoretical and experimentally determined tensile properties of nanocellulose are also reviewed. In addition to this, the reinforcing ability of BC and NFC is juxtaposed. In order to analyse the various cellulose-reinforced polymer nanocomposites reported in literature, Cox–Krenchel and rule-of-mixture models have been used to elucidate the potential of nanocellulose in composite applications. There may be potential for improvement since the tensile modulus and strength of most cellulose nanocomposites reported in literature scale linearly with the tensile modulus and strength of the cellulose nanopaper structures. Better dispersion of individual cellulose nanofibres in the polymer matrix may improve composite properties.

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Crossref · 10.1016/j.compscitech.2014.08.032

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Metadata

Authors
Lee, K.-Y., Aitomäki, Y., Berglund, L. A., Oksman, K., & Bismarck, A.
Venue
Composites Science and Technology
Publisher
Elsevier BV
Published
2014-12
Volume
105
Pages
15-27
ISSN
0266-3538 (ISSN-L)
OpenAlex
W2008887036
Cited by
819
References
133
FWCI
19.36
Type
journal article
Language
en
Open access
hybrid

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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.