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

TL;DR

This paper demonstrates the use of mid-infrared Optical Coherence Tomography for non-destructive, non-contact inspection of wind turbine blade coatings, providing deeper penetration and defect detection capabilities compared to traditional methods.

Contribution

It introduces MIR OCT as a novel, effective tool for inspecting multi-layer wind turbine blade coatings, surpassing existing technologies in penetration depth and defect identification.

Findings

MIR OCT achieves greater penetration depth than near-infrared OCT.

MIR OCT successfully identifies defects in wind turbine blade coatings.

The technique is suitable for industrial quality control of wind turbine blades.

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. In response to climate change and the need to reduce carbon footprints, there is a growing demand for NDI solutions that are primarily non-contact, as well as non-destructive, fast, and easily integrated. 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 $\mu$m from a supercontinuum 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 emulate defect identification. The results of our study confirm that MIR OCT scanners are highly suitable for coating inspection and quality control in the production of WTBs, with performance parameters not achievable by other technologies.