Non-contact assessment of coating thickness of metal products using hyperspectral imaging.

Abstract

Quality control of multilayer coatings is a critical step in the chemical industry and engineering, as the durability and functionality of the final product directly depend on the integrity of the protective layer. Traditional inspection methods are often either local (limited analysis area) or destructive. This study explores an optical approach—non-contact monitoring of coating quality—using hyperspectral imaging (HVI).
HVI is based on recording diffusely reflected light over a wide wavelength range. This provides information on the spatial distribution of the spectral characteristics of the test object. The combination of spectral information in a specific wavelength range allows for the characterization of physical parameters, such as thickness or degree of erosion, and the acquisition of information on the coating's properties. Analysis of hyperspectral data allows for the differentiation of various chemical phases, the detection of microdefects (cracks, pores, inhomogeneities), and the early detection of corrosion processes.
The results of these studies demonstrate the high sensitivity of HVI to changes in the coating's composition and structure. Based on optical characteristics, the reflectivity of the coating under study was determined to be dependent on layer thickness. The results confirm the applicability of this approach to metal coatings, leading to reduced inspection time and improved coating quality.
The presented approach aims to develop a contactless coating thickness monitoring method that provides spatial information on thickness distribution across the surface of the coating. The results can be used in the development of intelligent non-destructive coating quality testing systems for mechanical engineering, instrument making, and industrial manufacturing.

Speaker

Kirill Nastepanin
Orel State University named after I.S. Turgenev
Russia

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