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Engineered natural fiber reinforced polypropylene composites: influence of surface modifications and novel powder impregnation processing

Mohanty, A. K., Drzal, L. T., Misra, M.·2002·Journal of Adhesion Science and Technology

Abstract

Environmentally-benign powder impregnation processing is adopted in fabricating bio-composites from chopped natural fibers and powder polypropylene. The surface modifications of natural fibers involving alkali treatment and treatment with maleated polyolefins are found to be very effective in improving fiber-matrix adhesion. Bast fiber (kenaf) based composites showed best tensile and modulus properties while leaf fiber (henequen) based biocomposites showed best impact behavior. Through a blend of surface-treated bast and leaf fibers, 'engineered natural fibers' (ENFs) can be designed and such ENFs on reinforcement with a polymer matrix result in biocomposites with superior physico-mechanical properties.

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Metadata

Authors
Mohanty, A. K., Drzal, L. T., & Misra, M.
Venue
Journal of Adhesion Science and Technology
Published
2002-01
Volume
16
Issue
8
Pages
999-1015
ISSN
  • 0169-4243 (ISSN-L)
  • 1568-5616
OpenAlex
W2042092164
Cited by
175
References
0
FWCI
5.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Engineered natural fiber reinforced polypropylene composites: influence of surface modifications and novel powder impregnation processing. https://app.cochat.ai/papers/10.1163/156856102760146129
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Mohanty, A. K., Drzal, L. T., & Misra, M. (2002). Engineered natural fiber reinforced polypropylene composites: influence of surface modifications and novel powder impregnation processing. Journal of Adhesion Science and Technology. https://doi.org/10.1163/156856102760146129

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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.