2022
DOI: 10.3390/s22010407
|View full text |Cite
|
Sign up to set email alerts
|

Identification of Corrosion Minerals Using Shortwave Infrared Hyperspectral Imaging

Abstract: In this study, we propose a new method to identify corrosion minerals in carbon steel using hyperspectral imaging (HSI) in the shortwave infrared range (900–1700 nm). Seven samples were artificially corroded using a neutral salt spray test and examined using a hyperspectral camera. A normalized cross-correlation algorithm is used to identify four different corrosion minerals (goethite, magnetite, lepidocrocite and hematite), using reference spectra. A Fourier Transform Infrared spectrometer (FTIR) analysis of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 20 publications
(12 citation statements)
references
References 37 publications
1
11
0
Order By: Relevance
“…The SWIR spectra examined did not share many features among corroded points, as determined by human visual inspection of the spectra. However, in literature, the SWIR spectral range was successfully exploited to identify different corrosion products on steel [4]. It is possible that the spectral features identified here may be indicative of different corrosion products, but missing the chemical characterisation of these samples, it is difficult to determine whether this is the case.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…The SWIR spectra examined did not share many features among corroded points, as determined by human visual inspection of the spectra. However, in literature, the SWIR spectral range was successfully exploited to identify different corrosion products on steel [4]. It is possible that the spectral features identified here may be indicative of different corrosion products, but missing the chemical characterisation of these samples, it is difficult to determine whether this is the case.…”
Section: Discussionmentioning
confidence: 97%
“…In [4] the severity of corrosion was assessed based on the corrosion products present on the surface of carbon steel (s235) in the SWIR range (900 -1700 nm) and cross-correlating retrieved spectra with the pure reference spectra for products including hematite, lepidocrocite, and goethite. The results are represented as the percentage total of each corrosion mineral present in the sample, as compared with the percentages of minerals present found by the Fourier Transform Infrared (FTIR) spectroscopy ground truth.…”
Section: Introductionmentioning
confidence: 99%
“…The MA-XRD measurements were performed by means of an inhouse built mobile scanner (AXIS, University of Antwerp, Belgium). The device is set-up with a low power X-ray micro source (50 W, Im S-Cu, Incoatec GmbH, Germany), which produces a monochromatic and focused X-ray beam (Cu-Ka; 8.04 keV), a more detailed description can be found elsewhere 27 [24]. A primary beam angle of incidence of 10°relative to the corroded steel samples was employed due to geometrical limitations.…”
Section: Xrd Measurementsmentioning
confidence: 99%
“…Previous research by the same authors. 24 focused on the comparison between FTIR analysis and HSI measurements. However, the FTIR data were obtained with scraped corrosion products, so spatial information about where the corrosion products are present was not considered.…”
Section: Introductionmentioning
confidence: 99%
“…The MA-XRD measurements were performed by means of an inhouse built mobile scanner (AXIS, University of Antwerp, Belgium). The device is set-up with a low power X-ray micro source (50 W, IµS-Cu,Incoatec GmbH, Germany), which produces a monochromatic and focused X-ray beam (Cu-Kα ; 8.04 keV), a more detailed description can be found elsewhere 27 [24]. A primary beam angle of incidence of 10°relative to the corroded steel samples was employed due to geometrical limitations.…”
Section: Xrd Measurementsmentioning
confidence: 99%