Surface roughness evolution of wind turbine blade subject to rain erosion

[Display omitted] •A computational model for the prediction of leading edge roughness was developed by relating local fatigue damage to material removal.•The model predicts surface roughness parameters, erosion depth and mass loss over time.•Comparison with experimental measurements by an optical su...

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Bibliographic Details
Published inMaterials & design Vol. 231; p. 112011
Main Authors Tempelis, Antonios, Mishnaevsky, Leon
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2023
Elsevier
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Online AccessGet full text
ISSN0264-1275
DOI10.1016/j.matdes.2023.112011

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Summary:[Display omitted] •A computational model for the prediction of leading edge roughness was developed by relating local fatigue damage to material removal.•The model predicts surface roughness parameters, erosion depth and mass loss over time.•Comparison with experimental measurements by an optical surface profilometer was performed for validation.•The predictions could provide valuable input for estimating energy production losses due to leading edge erosion. Leading edge erosion of wind turbine blades causes roughening of the blade’s surface, leading to a reduction of energy production. This paper presents a computational model for the prediction of the roughness evolution of the blade’s surface, based on fatigue damage calculations and rain droplet impact simulations. A novel method for the calculation of material roughness due to multiple random liquid impacts was developed, by considering damage concentration in areas where sharpness due to material removal is formed. Material removal was governed by fatigue damage values. The computational model was compared to roughness measurements from a sample tested in a rain erosion tester. The outputs of this model are 3D surfaces resembling the roughness of the protective coating layer as well as the evolution of surface roughness parameters and mass loss throughout time.
ISSN:0264-1275
DOI:10.1016/j.matdes.2023.112011