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 that are not detectable 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. We also developed a basic algorithm to extract the thickness layer of the topcoat and primer. 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.

Authors

Institutions

Publication Details

Journal
Wind energy science
Published
2026-02-24
DOI
https://doi.org/10.5194/wes-11-693-2026
Primary Topic
Optical Coherence Tomography Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-destructive sub-surface inspection of multi-layer wind turbine blade coatings by mid-infrared optical coherence tomography

Christian Petersen, Coraline Lapre, Niels Møller Israelsen, Thomas Wulf et al.
Wind energy science
Optical Coherence Tomography Applications
article

Non-destructive sub-surface inspection of multi-layer wind turbine blade coatings by mid-infrared optical coherence tomography

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

Abstract

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 that are not detectable 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. We also developed a basic algorithm to extract the thickness layer of the topcoat and primer. 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.

Wind energy scienceVol. 11(2)
Ørsted (Denmark) (DK), Gamesa (Spain) (ES), NKT Holding (Denmark) (DK), Technical University of Denmark (DK)
Villum Fonden, UK Research and Innovation, HORIZON EUROPE Framework Programme, Universitat Politècnica de València, HORIZON EUROPE Innovative Europe
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Optical Coherence Tomography Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.