| 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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Hopmann, Christian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Characterization and modeling of an epoxy vitrimer based on disulfide exchange for wet filament winding applicationscitations
- 2024Development of an Analytical Model for Predicting the Tensile Modulus of Complex Polypropylene Compoundscitations
- 2023Prozessoptimierte Hybridgarne für den Faserspritzprozess
- 2023Determination of the frequency- and temperature-dependent stiffness and damping properties of thermoplastics for the prediction of the vibration and heating behaviour during ultrasonic weldingcitations
- 2022Development of a high-fidelity framework to describe the process-dependent viscoelasticity of a fast-curing epoxy matrix resin including testing, modelling, calibration and validationcitations
- 2021Advances in Polymer Processing 2020
- 2020Comparative study of the residual stress development in HMDSN-based organosilicon and silicon oxide coatingscitations
- 2020A micromechanical model for loading and unloading behavior of fiber reinforced plastics under cyclic loadingcitations
- 2020Advances in Polymer Processing 2020citations
- 2020Advances in Polymer Processing 2020
- 2019Evaluation and modeling of the fatigue damage behavior of polymer composites at reversed cyclic loadingcitations
- 2019Modeling of pvT behavior of semi-crystalline polymer based on the two-domain Tait equation of state for injection moldingcitations
- 2018Improved homogeneity of plasma and coating properties using a lance matrix gas distribution in MW-PECVDcitations
- 2018Tiefzieh- und Hinterspritzprozess für Kunststoff-Magnesium-Hybridecitations
- 2017Combination technology of deep drawing and back-moulding for plastic/metal hybrid components
- 2015Surface quality of profile extrusion dies manufactured by Selective Laser Melting
- 2015Film stress of amorphous hydrogenated carbon on biaxially oriented polyethylene terephthalatecitations
Places of action
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article
Development of a high-fidelity framework to describe the process-dependent viscoelasticity of a fast-curing epoxy matrix resin including testing, modelling, calibration and validation
Abstract
Fast-curing epoxy resins enable substantial reduction of cycle times during production of thermoset polymer matrix composites. Due to the snap-cure behaviour, both characterisation and processing of these resins are associated with high complexity which motivates the development of a high-fidelity framework for the prediction of the process-dependent behaviour ranging from experiment to model validation. In order to determine influence of time, temperature, and degree of cure, a multitude of rheometer and dynamic mechanical analysis experiments are conducted and evaluated. Building on the experimental results, a material model based on a generalised Maxwell model is developed. It is calibrated on the results obtained in the tests and shown to describe the material’s behaviour with high accuracy under all investigated conditions. The model’s predictive capabilities are further tested by applying it to a dynamic mechanical analysis, exposing the model to previously unknown loading and temperature conditions. It is demonstrated that the model is capable of predicting such changing boundary conditions with high accuracy.