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Cited by 773

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The nature of adhesion in composites of modified cellulose fibers and polypropylene

Felix, Johan M., Gatenholm, Paul·1991·Journal of Applied Polymer Science

Abstract

Cellulose fibers were surface modified with polypropylene–maleic anhydride copolymer. The physical properties of such fibers were characterized by contact angle measurements, and the chemical structure was identified with ESCA and FTIR. ESCA showed that the modifying agent was localized at the surface of the fibers. The modified fibers were compounded with polypropylene, and composites with various amount of fibers were manufactured by injection molding. All mechanical properties were improved when treated fibers were used. SEM showed improved dispersion, wetting of fibers, and adhesion. The nature of adhesion was studied using FTIR. It was found that the surface modifying agent is covalently bonded to the fibers through esterification. The degree of esterification is enhanced by activating the modifying agent before fiber treatment. This study has shown the effects of treatment conditions on activation of reactive species and chemical reaction between fiber and modifying agent. Moreover, a better understanding has been achieved of the nature of adhesion for the system.

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Crossref · 10.1002/app.1991.070420307

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Metadata

Authors
Felix, J. M., & Gatenholm, P.
Venue
Journal of Applied Polymer Science
Publisher
Wiley
Published
1991-02-05
Volume
42
Issue
3
Pages
609-620
ISSN
  • 0021-8995 (ISSN-L)
  • 1097-4628
OpenAlex
W2124503551
Cited by
773
References
6
FWCI
9.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The nature of adhesion in composites of modified cellulose fibers and polypropylene. https://app.cochat.ai/papers/10.1002/app.1991.070420307
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Felix, J. M., & Gatenholm, P. (1991). The nature of adhesion in composites of modified cellulose fibers and polypropylene. Journal of Applied Polymer Science. https://doi.org/10.1002/app.1991.070420307

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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.