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 Tg is studied to predict the development of Tg 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.
Original language | English |
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Title of host publication | 43rd Risoe International Symposium on Materials Science |
Number of pages | 15 |
Volume | 1293 |
Publisher | IOP Publishing |
Publication date | 2023 |
Article number | 012015 |
DOIs | |
Publication status | Published - 2023 |
Event | 43rd Risø International Symposium on Materials Science - Risø, Roskilde, Denmark Duration: 4 Sept 2023 → 7 Sept 2023 |
Conference
Conference | 43rd Risø International Symposium on Materials Science |
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Country/Territory | Denmark |
City | Risø, Roskilde |
Period | 04/09/2023 → 07/09/2023 |
Series | IOP Conference Series: Materials Science and Engineering |
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ISSN | 1757-8981 |
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Dive into the research topics of 'Cure characterisation and prediction of thermosetting epoxy for wind turbine blade manufacturing'. Together they form a unique fingerprint.Datasets
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Isothermal and dynamic DSC dataset for an epoxy resin system for wind turbine blade applications
Jørgensen, J. K. (Creator) & Mikkelsen, L. P. (Creator), Zenodo, 4 Jul 2023
DOI: 10.5281/zenodo.8113838, https://zenodo.org/records/8113838
Dataset