Preprints
https://doi.org/10.5194/wes-2025-237
https://doi.org/10.5194/wes-2025-237
04 Dec 2025
 | 04 Dec 2025
Status: this preprint is currently under review for the journal WES.

Non-destructive sub-surface inspection of multi-layer wind turbine blade coatings by mid-infrared Optical Coherence Tomography

Coraline Lapre, Christian Rosenberg Petersen, Per Nielsen, Thomas Wulf, Jakob Ilsted Bech, Søren Fæster, Ole Bang, and Niels Møller Israelsen

Abstract. Non-destructive inspection (NDI) is useful in the industrial sector to ensure that manufacturing follows defined specifications, reducing the quantity of waste and thereby the cost of production. Optical Coherence Tomography (OCT), a well-known diagnostic technique in medical and biological research, is increasingly being used for industrial NDI. In the mid-infrared (MIR) wavelength range, OCT can be used to characterise parts and defects not possible by other industry-ready scanners, and enables better penetration than conventional near-infrared OCT.

In this article, we demonstrate NDI of wind turbine blade (WTB) coatings using an MIR OCT scanner employing light around 4 µm from a supercontinuum laser source. We inspected the top two layers of the coating (topcoat and primer) in two different samples. The first is to determine the maximum penetration depth, and the second one is to imitate defect identification. The results of our study confirm that MIR OCT scanners are promising for coating inspection and quality control in the production of WTBs, with performance parameters not achievable by other technologies.

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Coraline Lapre, Christian Rosenberg Petersen, Per Nielsen, Thomas Wulf, Jakob Ilsted Bech, Søren Fæster, Ole Bang, and Niels Møller Israelsen

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Coraline Lapre, Christian Rosenberg Petersen, Per Nielsen, Thomas Wulf, Jakob Ilsted Bech, Søren Fæster, Ole Bang, and Niels Møller Israelsen
Coraline Lapre, Christian Rosenberg Petersen, Per Nielsen, Thomas Wulf, Jakob Ilsted Bech, Søren Fæster, Ole Bang, and Niels Møller Israelsen

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Short summary

We are presenting an optical volumetric scanner used to characterise the coating on wind turbine blades. Two samples were characterised, the first sample was used to define the maximum depth measurement, and the second imitated the usual manufacturing defect inside the coating. We have also developed an algorithm to monitor the thickness of multiple coating layers, which is based on the scattering and absorption properties of the material.

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