Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics and provide an opportunity for delegates to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please, join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO215: Prediction of surface erosion of wind turbine blades: machine Learning and finite element approaches
Antonios Tempelis, PhD student, DTU
Abstract
A problem of great importance for the wind industry is leading edge erosion. The rough surface that the eroded coating material leaves on the surface of the leading edge considerably limits the energy output of turbines. Most numerical studies focus on either modelling the time period until damage appears on the coating or modelling the effect of roughness on the aerodynamic efficiency. An attempt to link the two stages by modelling the evolution of roughness after the initial damage detection has been developed and applied for a Rain Erosion Test (RET) sample. The results are compared with roughness measurements from the sample. To extend this technique, the stochastic nature of droplet sizes during a rain event must be considered. For that purpose, a neural network-based surrogate model is used to predict the output of finite element simulations for different droplet sizes. The trained machine learning model is validated and can be applied to augment the current roughness prediction tool.
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