Glass-fibre-reinforced composites with enhanced mechanical and electrical properties – Benefits and limitations of a nanoparticle modified matrix

Nanoparticles and especially carbon nanotubes (CNTs) provide a high potential for the modification of polymers. They are very effective fillers regarding mechanical properties, especially toughness. Furthermore, they allow the implication of functional properties, which are connected to their electr...

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Published in:Engineering fracture mechanics Vol. 73; no. 16; pp. 2346 - 2359
Main Authors: Wichmann, Malte H.G., Sumfleth, Jan, Gojny, Florian H., Quaresimin, Marino, Fiedler, Bodo, Schulte, Karl
Format: Journal Article Conference Proceeding
Language:English
Published: Tarrytown, NY Elsevier Ltd 01-11-2006
Oxford Elsevier
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Summary:Nanoparticles and especially carbon nanotubes (CNTs) provide a high potential for the modification of polymers. They are very effective fillers regarding mechanical properties, especially toughness. Furthermore, they allow the implication of functional properties, which are connected to their electrical conductivity, into polymeric matrices. In the present paper, different nanoparticles, as fumed silica and carbon black, were used to optimise the epoxy matrix system of a glass-fibre-reinforced composite. Their nanometre-size enables their application as particle-reinforcement in FRPs produced by the resin-transfer-moulding method (RTM), without being filtered by the glass-fibre bundles. Additionally, an electrical field was applied during curing, in order to enhance orientation of the nanofillers in z-direction. The interlaminar shear strengths of the nanoparticle modified composites were significantly improved (+16%) by adding only 0.3 wt.% of CNTs. The interlaminar toughness G Ic and G IIc was not affected in a comparable manner. The laminates containing carbon nanotubes exhibited a relatively high electrical conductivity at very low filler contents, which allows the implication of functional properties, such as stress–strain monitoring and damage detection.
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ISSN:0013-7944
1873-7315
DOI:10.1016/j.engfracmech.2006.05.015