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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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Belnoue, Jonathan P.-H.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (35/35 displayed)
- 2024An accurate forming model for capturing the nonlinear material behaviour of multilayered binder-stabilised fabrics and predicting fibre wrinklingcitations
- 2024That’s how the preform crumples: Wrinkle creation during forming of thick binder-stabilised stacks of non-crimp fabricscitations
- 2024Virtual data-driven optimisation for zero defect composites manufacturecitations
- 2024Parametric study on the effect of material properties, tool geometry, and tolerances on preform quality in wind turbine blade manufacturingcitations
- 2024Process models: A cornerstone to composites 4.0citations
- 2024But how can I optimise my high-dimensional problem with only very little data? – A composite manufacturing applicationcitations
- 2023A comprehensive modelling framework for defect prediction in automated fibre placement of composites
- 2023Thickness Control of Autoclave-Molded Composite Laminatescitations
- 2022Intelligent Composites Forming - Simulations For Faster, Higher Quality Manufacture
- 2022A MODELLING FRAMEWORK FOR THE EVOLUTION OF PREPREG TACK UNDER PROCESSING CONDITIONS
- 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
- 2021Consolidation-driven wrinkling in carbon/epoxy woven fabric prepregscitations
- 2021Compaction behaviour of continuous fibre-reinforced thermoplastic composites under rapid processing conditionscitations
- 2021Modelling compaction behavior of toughened prepreg during automated fibre placement
- 2021Lab-based in-situ micro-CT observation of gaps in prepreg laminates during consolidation and curecitations
- 2021Hypo-viscoelastic modelling of in-plane shear in UD thermoset prepregscitations
- 2020Predicting consolidation-induced wrinkles and their effects on composites structural performancecitations
- 2020Experimental characterisation of the in-plane shear behaviour of UD thermoset prepregs under processing conditionscitations
- 2020A rapid multi-scale design tool for the prediction of wrinkle defect formation in composite componentscitations
- 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
- 2018Modelling process induced deformations in 0/90 non-crimp fabrics at the meso-scalecitations
- 2018Experimental Characterisation of In-plane Shear Behaviour of Uncured Thermoset Prepregs
- 2018Multi-scale modelling of non-uniform consolidation of uncured toughened unidirectional prepregscitations
- 2016Predicting wrinkle formation in components manufactured from toughened UD prepreg
- 2016Understanding and prediction of fibre waviness defect generation
- 2016Cohesive/Adhesive failure interaction in ductile adhesive joints Part Icitations
- 2016An experimental investigation of the consolidation behaviour of uncured prepregs under processing conditionscitations
- 2015The compaction behaviour of un-cured prepregs
- 2012A numerical model for thick composite-metallic adhesive joints
- 2011Adaptive calibration of a nonlocal coupled damage plasticity model for aluminium alloy AA6082 T0
- 2007Modeling crack initiation and propagation in nickel base superalloys
Places of action
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article
Thickness Control of Autoclave-Molded Composite Laminates
Abstract
<jats:title>Abstract</jats:title><jats:p>Composite materials and especially those made from pre-impregnated (prepreg) material are widely used in the aerospace industry. To achieve the tight assembly dimensional tolerances required, manufacturers rely on additional manufacturing steps like shimming or machining, which generate extra waste, which are time-consuming and expensive. Prepreg sheets come naturally with fiber and resin volume content variability that leads manufacturers to guarantee cured ply thicknesses within a typical +/−5% margin of their nominal values. For thick laminates, this can equate to a thickness variability of as much as a few millimeter. To solve the issue, it is proposed to twin in situ laser measurements of the uncured prepreg thickness with numerical simulations of the laminate autoclave consolidation and cure process and to adjust the number of additional sacrificial plies in the laminate based on the model predictions. This reduces the need for expensive and time-consuming trial and error approaches, extra machining operations, and results in the production of a part with high accuracy dimensions. Data for IM7/8552 and IM7/977-3 are presented to demonstrate the potential of the method to reach an almost exact target thickness for flat panels.</jats:p>