Non‐destructive and contactless defect detection inside leading edge coatings for wind turbine blades using mid‐infrared optical coherence tomography

Author:

Petersen Christian Rosenberg12ORCID,Fæster Søren3ORCID,Bech Jakob Ilsted3ORCID,Jespersen Kristine Munk3ORCID,Israelsen Niels Møller12ORCID,Bang Ole12ORCID

Affiliation:

1. Department of Electrical and Photonics Engineering Technical University of Denmark Kongens Lyngby Denmark

2. NORBLIS ApS Virum Denmark

3. Department of Wind Energy Technical University of Denmark Roskilde Denmark

Abstract

AbstractLeading edge erosion of wind turbine blades is one of the most critical issues in wind energy production, resulting in lower efficiency, as well as increased maintenance costs and downtime. Erosion is initiated by impacts from rain droplets and other atmospheric particles, so to protect the blades, special protective coatings are applied to increase their lifetime without adding significantly to the weight or friction of the blade. These coatings should ideally absorb and distribute the force away from the point of impact; however, microscopic defects, such as bubbles, reduce the mechanical performance of the coating, leading to cracks and eventually erosion. In this work, mid‐infrared (MIR) Optical Coherence Tomography (OCT) is investigated for non‐destructive, contactless inspection of coated glass‐fiber composite samples to identify subsurface coating defects. The samples were tested using rubber projectiles to simulate rain droplet and particle impacts. The samples were subsequently imaged using OCT, optical microscopy, and X‐ray tomography. OCT scanning revealed both bubbles and cracks below the surface, which would not have been detected using ultrasonic or similar non‐destructive methods. In this way, OCT can complement the existing quality control in turbine blade manufacturing, help improve the blade lifetime, and reduce the environmental impact from erosion.

Funder

Villum Fonden

HORIZON EUROPE Framework Programme

Innovationsfonden

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference38 articles.

1. IEA Wind Electricity Tracking Report(www.iea.org/reports/wind-electricity 2022).

2. BauerL MatysikS.Siemens 4MW turbine model.https://en.wind-turbine-models.com/turbines/601-siemens-swt-4.0-130

3. Quantification of wind turbine energy loss due to leading‐edge erosion through infrared‐camera imaging, numerical simulations, and assessment against SCADA and meteorological data

4. Micromechanisms of leading edge erosion of wind turbine blades: X‐ray tomography analysis and computational studies

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