Non-destructive inspection of wind turbine blades with mid-infrared optical coherence tomography

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

doi:10.1117/12.2692638

12 March 2024 Non-destructive inspection of wind turbine blades with mid-infrared optical coherence tomography

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

Author Affiliations +

Proceedings Volume PC12885, Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVII; PC128850K (2024) https://doi.org/10.1117/12.2692638
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

Wind turbine blades are an important part of green wind energy production, but the blades are subject to manufacturing defects that lead to material erosion during their operation. Optical coherence tomography (OCT) is a useful tool for sub-surface non-destructive imaging in the few millimetre range. We present non-destructive inspection (NDI) characterisation of wind turbine blade samples with a MIR OCT system employing a supercontinuum laser source with central wavelength around 4 µm. In our inspection of the sub-surface of wind turbine blades to detect defects inside the coating, we hope to improve understanding in blade manufacturing and support the industry in achieving zero waste production. The project was funded by the Horizon Europe, Grant Agreement No. 101058054 (TURBO) and No. 101057404 (ZDZW), and by VILLUM Fonden (2021 Villum Investigator project no. 00037822: Table-Top Synchrotrons).

Conference Presentation

Citation Download Citation

Coraline Lapre, Christian Rosenberg Petersen, Per Nielsen, Thomas Wulf, Jakob Ilsted Bech, Søren Fæster, Niels Møller Israelsen, and Ole Bang "Non-destructive inspection of wind turbine blades with mid-infrared optical coherence tomography", Proc. SPIE PC12885, Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XVII, PC128850K (12 March 2024); https://doi.org/10.1117/12.2692638

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