the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Non-destructive sub-surface inspection of multi-layer wind turbine blade coatings by mid-infrared Optical Coherence Tomography
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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Status: final response (author comments only)
- RC1: 'Comment on wes-2025-237', Anonymous Referee #1, 18 Dec 2025
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RC2: 'Comment on wes-2025-237', Anonymous Referee #2, 20 Dec 2025
As reviewer of the Manuscript wes-2025-237 entitled " Non-destructive sub-surface inspection of multi-layer wind turbine blade coatings by mid-infrared Optical Coherence Tomography", I have thoroughly reviewed the manuscript, and I would recommend addressing the below comments to make the study more wholistic nature to appreciate the NDI of multi-layer wind turbine blade coatings by MIR OCT Technique:
- Under Abstract section, there should be executive summary of the quantitative conclusions of the proposed research. The abstract should be rephrased to make it more wholistic of the complete study on the manuscript.
- Considering the inspection depth upto two layers, what structural advantages can be accomplished as initially is quoting that the reducing the quantity of waste and thereby cost of production. Please add justification for the proposed study?
- What is the capability of the described NDI techniques application on field blades compared to conventional inspection techniques.
- What is the threshold capability of inspection depth for the mentioned MIR OCT technique.
- Apart from the introducing the application of MIR OCT technique to wind blades from other applications, what are the extended research capabilities addressed in the proposed manuscript?
I hope my critique helps the authors to improve their work and find useful in this review. Thank you!
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Christian Rosenberg Petersen
Per Nielsen
Thomas Wulf
Jakob Ilsted Bech
Søren Fæster
Ole Bang
Niels Møller Israelsen
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.
We are presenting an optical volumetric scanner used to characterise the coating on wind turbine...
The paper
“Non-destructive sub-surface inspection of multi-layer wind turbine blade coatings by mid-infrared Optical Coherence Tomography”
By
Lapre et al.,
presents an application of mid-infrared (MIR) optical coherence tomography for non-destructive inspection of wind-turbine-blade (WTB) coatings. The study is timely, addressing an industrially relevant need for high-resolution subsurface imaging that exceeds the penetration capabilities of near-infrared OCT while avoiding the logistical and safety constraints of X-ray computed tomography.
The paper is generally well structured, with an informative comparison against NIR-OCT and X-ray CT, and convincingly demonstrates that MIR OCT can resolve the topcoat and primer layers and detect various artificial defects.
Nonetheless, the manuscript requires revisions before it is suitable for publication, primarily to strengthen quantitative analysis, clarify methodology, and refine claims about industrial applicability.
More specifically: