2016
DOI: 10.1177/0021998316672722
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3D geometric modelling of discontinuous fibre composites using a force-directed algorithm

Abstract: A geometrical modelling scheme is presented to produce representative architectures for discontinuous fibre composites, enabling downstream modelling of mechanical properties. The model generates realistic random fibre architectures containing high filament count bundles (>3k) and high (~50%) fibre volume fractions. Fibre bundles are modelled as thin shells using a multi-dimension modelling strategy, in which fibre bundles are distributed and compacted to simulate pressure being applied from a matched mould to… Show more

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Cited by 37 publications
(32 citation statements)
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References 46 publications
(104 reference statements)
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“…The 3D geometry representation of a DCFP preform was produced by an algorithm developed by Harper et al [21]. A typical output from the model is shown in Figure 7.…”
Section: Tow Deposition Simulationmentioning
confidence: 99%
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“…The 3D geometry representation of a DCFP preform was produced by an algorithm developed by Harper et al [21]. A typical output from the model is shown in Figure 7.…”
Section: Tow Deposition Simulationmentioning
confidence: 99%
“…Fibre bundles were continuously deposited over the region of interest until the target fibre volume fraction was achieved. A force-directed approach using an attraction-repulsion mechanism was used to prevent bundle intersections and to define the through-thickness distribution of fibre bundles [21]. When the fibre architecture generation is complete, each deposited fibre bundle is represented by a separate surface mesh.…”
Section: Tow Deposition Simulationmentioning
confidence: 99%
See 1 more Smart Citation
“…Selezneva et al [27] In addition to the analytical models described above, numerical models for TBDCs have also been developed [28,29]. These models consider either an explicit representation of the fibres/tows [29], or a discrete grid of equivalent laminates with stochastic layups [28], and use Finite Element (FE) simulations of RVEs to cope with the variability in microstructures and the complexity of stress fields.…”
Section: Operatorŝ Normalised Unit Vectormentioning
confidence: 99%
“…• The model allows a significant reduction in computational cost compared to conventional FE simulations of RVEs (which can take four hours of CPU time to complete the analysis of a single loading case [29]). In comparison, our model requires approximately 300 seconds to predict the full failure envelope (as shown in Figure 13a) of a TBDC material, using the FPF macroscale criterion (which was validated against the PDM) and thee numerical parameters shown in Table 3.…”
Section: Novelty and Key Features Of The Modelmentioning
confidence: 99%