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Characterization of Wood and Graphene Nanoplatelets (GNPs) Reinforced Polymer Composites.
Luleå University of Technology, Sweden.
RISE Research Institutes of Sweden, Materials and Production, Polymeric Materials and Composites.ORCID iD: 0000-0003-3449-8233
Podcomp AB, Sweden.
Luleå University of Technology, Sweden.
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2020 (English)In: Materials, E-ISSN 1996-1944, Vol. 13, no 9, article id E2089Article in journal (Refereed) Published
Abstract [en]

This paper investigates the utilization of commercial masterbatches of graphene nanoplatelets to improve the properties of neat polymer and wood fiber composites manufactured by conventional processing methods. The effect of aspect ratio of the graphene platelets (represented by the different number of layers in the nanoplatelet) on the properties of high-density polyethylene (HDPE) is discussed. The composites were characterized for their mechanical properties (tensile, flexural, impact) and physical characteristics (morphology, crystallization, and thermal stability). The effect of the addition of nanoplatelets on the thermal conductivity and diffusivity of the reinforced polymer with different contents of reinforcement was also investigated. In general, the mechanical performance of the polymer was enhanced at the presence of either of the reinforcements (graphene or wood fiber). The improvement in mechanical properties of the nanocomposite was notable considering that no compatibilizer was used in the manufacturing. The use of a masterbatch can promote utilization of nano-modified polymer composites on an industrial scale without modification of the currently employed processing methods and facilities.

Place, publisher, year, edition, pages
2020. Vol. 13, no 9, article id E2089
Keywords [en]
energy transport, graphene nanoplatelets (GNPs), high density polyethylene (HDPE), nanocomposites masterbatch, wood polymer composites (WPC)
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-45044DOI: 10.3390/ma13092089PubMedID: 32369956OAI: oai:DiVA.org:ri-45044DiVA, id: diva2:1433103
Available from: 2020-05-29 Created: 2020-05-29 Last updated: 2025-09-23Bibliographically approved

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Gong, Guan

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