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Project

BLEEPID - Towards improved reliability and reduced costs of offshore wind by Blade-Leading-Edge Erosion Prediction and Drone-based Inspection

Leading edge erosion of offshore wind blades has drastic impact on maintenance costs and operational energy production and leads to unwanted microplastics in the environment. Herein, we will develop fundamental image capturing and camera techniques, combined with quantitative wear analysis from experimental erosion testing and multi-physics modelling combining CFD-FSI impact and subsurface fatigue modelling. These advances will enable accurate drone-based inspections of offshore wind blades, and thus optimize maintenance planning and extent the blade’s lifetime.

Date:1 Nov 2022 →  Today
Keywords:CFD-modelling, Drones, Liquid Droplet Impingement Erosion, Leading Edge Erosion, Wind Turbine Blades, Peridynamics, visual inspection
Disciplines:Computational materials science, Image processing, Fluid mechanics, Tribology, Composites and hybrid materials not elsewhere classified