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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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Pierce, Robert S.
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Topics
Publications (12/12 displayed)
- 2024Fabric compaction and fibre volume fraction evaluation for vacuum-assisted resin infusion modelling
- 2024Optimisation of process-induced residual stresses in composite laminates by different genetic algorithm and finite element simulation coupling methodscitations
- 2024Process-induced residual stresses in composite laminates by different constitutive laws and parametric investigation
- 2024A spacing criterion for perforated release films in vacuum-assisted resin infusion processes
- 2024Optimization of core groove geometry for the manufacture and operation of composite sandwich structures in wind turbine blades
- 2024Computational fluid dynamics modelling of vacuum-assisted resin infusion in composite sandwich panels during wind turbine blade manufacturing
- 2023Tensile performance of Fibre-Oriented scarf repair coupons for wing skin material
- 2019Modelling the size and strength benefits of optimised step/scarf joints and repairs in composite structurescitations
- 2017A multi-physics process model for simulating the manufacture of resin-infused composite aerostructurescitations
- 2017Simulating resin infusion through textile reinforcement materials for the manufacture of complex composite structurescitations
- 2016Permeability characterization of sheared carbon fiber textile preformcitations
- 2014Implementation of a non-orthogonal constitutive model for the finite element simulation of textile composite drapingcitations
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document
Fabric compaction and fibre volume fraction evaluation for vacuum-assisted resin infusion modelling
Abstract
To consistently achieve high-quality and reliable composite laminates, reducing the defects introduced while manufacturing is crucial. One of the methods to help is obtaining an optimal infusion strategy that considers the local compressed state during the vacuum infusion process. To create a unique digital twin for infusion processing planning, both accurate and practical methods must be used to obtain the geometry of the preform. This study has considered blue-light scanning, digital image correlation and laser sensor measurements for non-destructive in-situ fibre volume fraction assessments. The obtained results have also been compared with post-mortem burn-off testing of specimens and subsequently evaluated for filling time calculations with PAM-RTM compared against the actual filling duration.