Hybrid carbon/glass fiber composites: Micromechanical analysis of structure–damage resistance relationships

Mishnaevsky, Leon; Dai, Guanzhong

doi:10.1016/j.commatsci.2013.08.024

Cited by 77 publications

(54 citation statements)

References 31 publications

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“…Furthermore, the failure development in a single row of fibres is not representative of a real hybrid composite. Recently, Mishnaevsky and Dai [30,31] developed a more advanced model for predicting the failure strain of hybrid composites. Using 2D packings, these authors demonstrated the importance of dispersion for damage development, but did not investigate the hybrid effect.…”

Section: Introductionmentioning

confidence: 99%

The effect of fibre dispersion on initial failure strain and cluster development in unidirectional carbon/glass hybrid composites

Swolfs

McMeeking

Verpoest

et al. 2015

Composites Part A: Applied Science and Manufacturing

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Please cite this article as: Swolfs, Y., McMeeking, R.M., Verpoest, I., Gorbatikh, L., The effect of fibre dispersion on initial failure strain and cluster development in unidirectional carbon/glass hybrid composites, Composites: Part A (2014), doi: http://dx. AbstractBy adding glass fibres to carbon fibre composites, the apparent failure strain of the carbon fibres can be increased. A strength model for unidirectional hybrid composites was developed under very local load sharing assumptions to study this hybrid effect.Firstly, it was shown that adding more glass fibres leads to higher hybrid effects. The hybrid effect was up to 32% for a hybrid composite with a 10/90 ratio of carbon/glass fibres. The development of clusters of broken fibres helped to explain differences in the performance of these hybrid composites. For 50/50 carbon/glass hybrids, a fine bundleby-bundle dispersion led to a slightly smaller hybrid effect than for randomly dispersed hybrids. The highest hybrid effect for a 50/50 ratio, however, was 16% and was achieved in a composite with alternating single fibre layers. The results demonstrate that thin ply hybrids may have more potential for improved mechanical properties than comingled hybrids. 2

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Section: Introductionmentioning

confidence: 99%

The effect of fibre dispersion on initial failure strain and cluster development in unidirectional carbon/glass hybrid composites

Swolfs

McMeeking

Verpoest

et al. 2015

Composites Part A: Applied Science and Manufacturing

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“…Fukunaga et al did not mention how large the increase was, but from their figures an increase in the strength by about 10% can be estimated. A recent study by Mishnaevsky and Dai [63] showed that a finer dispersion leads to slower development of internal damage. This was only true for displacement-controlled models, while a faster damage development was found for load-controlled models.…”

Section: Degree Of Dispersionmentioning

confidence: 99%

Fibre hybridisation in polymer composites: A review

Swolfs

Gorbatikh

Verpoest

2014

Composites Part A: Applied Science and Manufacturing

670

450

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Fibre-reinforced composites are rapidly gaining market share in structural applications, but further growth is limited by their lack of toughness. Fibre hybridisation is a promising strategy to toughen composite materials. By combining two or more fibre types, these hybrid composites offer a better balance in mechanical properties than non-hybrid composites. Predicting their mechanical properties is challenging due to the synergistic effects between both fibres. This review aims to explain basic mechanisms of these hybrid effects and describes the state-of-the-art models to predict them. An overview of the tensile, flexural, impact and fatigue properties of hybrid composites is presented to aid in optimal design of hybrid composites. Finally, some current trends in fibre hybridisation, such as pseudoductility, are described.

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“…For this, we employ a a special Python based software code developed in [19][20][21][22][23], and adapt it to the typical structures of graphene based composites (i.e., very high aspect ratio; thin layers).…”

Section: D Finite Element Model Of Graphene Monolayer Compositementioning

confidence: 99%