Abstract
Corrosive environments deteriorate coated steel plates and the corrosion protection of the coatings is not permanent. The infrared spectral characteristics in various infrared wavelength ranges vary with the degradation state of a coated steel plate. To monitor the deterioration state of coated steel plates by infrared measurements, establishing an inspection method to remotely and effectively evaluate the deterioration state of the coating in various infrared wavelength ranges is necessary. However, mid-wavelength infrared cameras capture both the infrared reflection from the surface of the coating and the temperature rise of the coating. These two components cancel each other and affect the detection of coating deterioration. Thus, this study proposes a multi-wavelength lock-in infrared data processing method that performs lock-in processing using time-series data of only the infrared reflection or emission components at different infrared wavelength ranges as the reference signal. The multi-wavelength lock-in infrared data processing can extract infrared reflection and emission components separately from the mid-wavelength infrared region. The proposed method could quantitatively evaluate the thickness of the coating for each infrared component.
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