Title |
On the potential of particle engineered anti-erosion coatings for leading edge protection of wind turbine blades: computational studies / |
Authors |
Jespersen, K.M ; Monastyreckis, G ; Mishnaevsky Jr., L |
DOI |
10.1088/1757-899X/942/1/012027 |
Full Text |
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Is Part of |
IOP conference series: Materials science and engineering: 41st Risø international symposium on materials science: "Materials and design for next generation wind turbine blades", 7-10 September 2020, Roskilde, Denmark.. Bristol : IOP Publishing. 2020, vol. 942, art. no. 012027, p. 1-8.. ISSN 1757-8981. eISSN 1757-899X |
Keywords [eng] |
wind turbine blades ; anti-erosion coatings ; viscoelastic polyurethane coatings ; coatings with discshaped particles ; fiber pulp |
Abstract [eng] |
The potential of particle and fiber reinforced anti-erosion coatings for the protection of wind turbine blades is explored through computational modelling. A hypothesis that stiff disc-shaped particle or fiber reinforcements embedded in viscoelastic coatings ensure better erosion protection is validated numerically, and mechanisms of this effect are analyzed. A computational unit cell model of coatings with embedded fibers (fiber pulp) or disc particles subject to rain droplet impact is developed, and series of computational experiments is carried out. The distribution and scattering of stress waves from the rain droplet impact and damping properties are analyzed for homogeneous viscoelastic polyurethane coatings, coatings with discshaped particles, and fiber pulp. It is shown that the stress waves are increasingly scattered, and the damping is increased with higher volume percentage of the fibers. The mechanism of such increased energy dissipation is found to be related to the high local viscoelastic deformation in the regions between closely located fibers and the higher stiffness of the unit cell. The current work demonstrates the high potential of fiber engineered coatings for the improvement of anti-erosion protection of wind turbine blades. |
Published |
Bristol : IOP Publishing |
Type |
Conference paper |
Language |
English |
Publication date |
2020 |
CC license |
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