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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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Wolz, Daniel Sebastian
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Publications (9/9 displayed)
- 2024Verfahren zur Herstellung eines CFC-Formkörpers mit hoher Steifigkeit und hoher Zugfestigkeit mittels endlos-3D-Druck einer prä-Kohlenstofffaser-verstärkten Matrix
- 2024Potentials of polyacrylonitrile substitution by lignin for continuous manufactured lignin/polyacrylonitrile-blend-based carbon fiberscitations
- 2023Thermomechanical modeling of the stabilization process for carbon fiber production
- 2023Influence of temperature and dose rate of e‐beam modification on electron‐induced changes in polyacrylonitrile fiberscitations
- 2022Advanced carbon reinforced concrete technologies for façade elements of nearly zero-energy buildingscitations
- 2019High density polyethylene-based microporous carbon fibers as high-performance cathode materials for Li S batteries
- 2018Reinforcement Systems for Carbon Concrete Composites Based on Low-Cost Carbon Fiberscitations
- 2017Probabilistically based defect analysis and structure-property-relations in CF
- 2016Thermal treatment of carbon fibres up to 2175 K and impact on carbon fibre and related polymer composite properties
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document
Thermomechanical modeling of the stabilization process for carbon fiber production
Abstract
Within carbon fiber manufacturing, the stabilization process is the most time- and energy-intensive process due to the complexity of chemical structure transformation. Therefore, optimization is strictly required to enable cost-efficient stabilization processes. For the first time, a hybrid semi-parametric model for continuous stabilization is developed to prognose stabilization progress and density of the stabilized fiber. The proposed model takes the process parameters like dwell time, stabilization temperature, and fiber stretching as well as precursor properties, such as fiber density, into account. Finally, the proposed hybrid semi-parametric model offers a novel plant-transferable optimization solution for model-based energy optimization in the stabilization process.