| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ivanov, Dmitry S.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (31/31 displayed)
- 2024Novel cellular coil design for improved temperature uniformity in inductive heating of carbon fibre compositescitations
- 2023A comprehensive modelling framework for defect prediction in automated fibre placement of composites
- 2023Manufacturing Multi-Matrix Composites
- 2023Steering Potential for Printing Highly Aligned Discontinuous Fibre Composite Filamentcitations
- 2022A MODELLING FRAMEWORK FOR THE EVOLUTION OF PREPREG TACK UNDER PROCESSING CONDITIONS
- 2022HIGHLY ALIGNED DISCONTINUOUS FIBRE COMPOSITE FILAMENTS FOR FUSED DEPOSITION MODELLING: OPEN-HOLE CASE STUDY
- 2022Understanding tack behaviour during prepreg-based composites’ processingcitations
- 2021On the physical relevance of power law-based equations to describe the compaction behaviour of resin infused fibrous materialscitations
- 2021Modelling compaction behavior of toughened prepreg during automated fibre placement
- 2021Hypo-viscoelastic modelling of in-plane shear in UD thermoset prepregscitations
- 2020Experimental characterisation of the in-plane shear behaviour of UD thermoset prepregs under processing conditionscitations
- 2019Modelling of the in-plane shear behavior of uncured thermoset prepreg
- 2019A numerical study of variability in the manufacturing process of thick composite partscitations
- 2019Machine-driven experimentation for solving challenging consolidation problems
- 2019Mitigating forming defects by local modification of dry preformscitations
- 2019Matrix-graded and fibre-steered composites to tackle stress concentrationscitations
- 2018Experimental Characterisation of In-plane Shear Behaviour of Uncured Thermoset Prepregs
- 2018Multi-scale modelling of non-uniform consolidation of uncured toughened unidirectional prepregscitations
- 2017Positioning and aligning CNTs by external magnetic field to assist localised epoxy curecitations
- 2017Ductility potential of brittle epoxies:Thermomechanical behaviour of plastically-deformed fully-cured composite resinscitations
- 2017Ductility potential of brittle epoxiescitations
- 2017Piezoelectric effects in boron nitride nanotubes predicted by the atomistic finite element method and molecular mechanicscitations
- 2016Smoothing artificial stress concentrations in voxel-based models of textile compositescitations
- 2016Predicting wrinkle formation in components manufactured from toughened UD prepreg
- 2016Multi-scale modelling of strongly heterogeneous 3D composite structures using spatial Voronoi tessellationcitations
- 2016Understanding and prediction of fibre waviness defect generation
- 2016An experimental investigation of the consolidation behaviour of uncured prepregs under processing conditionscitations
- 2015Internal geometric modelling of 3D woven compositescitations
- 2015The compaction behaviour of un-cured prepregs
- 2014Mechanical modelling of 3D woven composites considering realistic unit cell geometrycitations
- 2013NOVEL FLEXIBLE TOOLING TO ENHANCE LIQUID RESIN INFUSION MANUF-ACTURE FOR NET-SHAPED PREFORMS
Places of action
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article
Understanding tack behaviour during prepreg-based composites’ processing
Abstract
Prepreg tack is a critical material property that plays a key role in Automated Fibre Placement (AFP) manufacture-induced defect generation. However, there is a gap in current state-of-the-art manufacturing process modelling that includes tack phenomena and experimental data that shows the influence of multiple factors. In this paper, a modified probe test method, which is capable of inter-ply and ply-tool tack measurement, is proposed. The influence of multiple factors, consistent with the AFP deposition process (i.e. pull-off rate, contact time, pressure and temperature) on tack is studied. Further, a comprehensive modelling framework accounting for all the factors is developed and implemented as a user subroutine for a commercial finite element (FE) package. The work highlights the complexity of tack behaviour at play and shows promise for filling the gap between the tack data/model scarcity and simulation of manufacturing processes such as AFP and forming.