| 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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Andersen, Tom Løgstrup
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024A Precise Prediction of the Chemical and Thermal Shrinkage during Curing of an Epoxy Resin
- 2023Biobased composites: materials, properties, and potential applications as wind turbine blade materialscitations
- 2023Cure characterisation and prediction of thermosetting epoxy for wind turbine blade manufacturingcitations
- 2023The impact of the fiber volume fraction on the fatigue performance of glass fiber compositescitations
- 2022Observation of the interaction between transverse cracking and fibre breaks in uni-directional non-crimp fabric composites subjected to cyclic bending fatigue damage mechanismcitations
- 2016Investigation of Mechanical Properties of Unidirectional Steel Fiber/Polyester Composites: Experiments and Micromechanical Predictionscitations
- 2015Impact of non-hookean behaviour on mechanical performance of hybrid composites
- 2014Effect of Polymer Form and its Consolidation on Mechanical Properties and Quality of Glass/PBT Compositescitations
- 2013Influence of Temperature on Mechanical Properties of Jute/Biopolymer Compositescitations
- 2012Attribute Based Selection of Thermoplastic Resin for Vacuum Infusion Process: A Decision Making Methodology
- 2012Experimental Determination and Numerical Modelling of Process Induced Strains and Residual Stresses in Thick Glass/Epoxy Laminate
- 2012In situ measurement using FBGs of process-induced strains during curing of thick glass/epoxy laminate platecitations
- 2011Influence of moisture absorption on properties of fiber reinforced polyamide 6 composites
- 2011A New Static and Fatigue Compression Test Method for Compositescitations
- 2011Attribute based selection of thermoplastic resin for vacuum infusion processcitations
- 2009Pin-on-disk apparatus for tribological studies of polymeric materialscitations
- 2008Changes in the tribological behavior of an epoxy resin by incorporating CuO nanoparticles and PTFE microparticlescitations
- 2008The effect of particle addition and fibrous reinforcement on epoxy-matrix composites for severe sliding conditionscitations
- 2002Influence of fiber type, fiber mat orientation, and process time on the properties of a wood fiber/polymer compositecitations
Places of action
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document
Cure characterisation and prediction of thermosetting epoxy for wind turbine blade manufacturing
Abstract
In the wind industry, the increasing length of turbine blades and the use of thick composite sections make it vital to understand the thermoset and the underlying curing process. In this study, the curing of a specific thermoset epoxy for application in wind turbine blades is characterised by differential scanning calorimetry. The thermoset is analysed under dynamic and isothermal conditions to determine the complex cure behaviour under these various conditions. The data is fitted to determine firstly; the cure kinetics of the material through a kinetic model. Secondly; the phenomenon of the glass transition temperature T g is studied to predict the development of T g as a function of the degree of cure. Thirdly, a Diffusion-Kinetic model was utilised to make more accurate cure predictions based on the interaction between kinetic chemical reactions and diffusion control affecting the reaction rate through the incorporation of the glass transition temperature. A simple experimental framework for validating the diffusion-kinetic model was used to make a final validation of the model predictions on a larger scale. A set of final parameters is presented for application in a full diffusion-kinetic model for cure predictions and simulations beyond this study.