Image-based analysis of weathered slag for calculation of transport properties and passive carbon capture

Faisal W. K. Khudhur, Alice Macente, John M. MacDonald, Luke Daly

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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Abstract

Weathering of silicate-rich industrial wastes such as slag can reduce emissions from the steelmaking industry. During slag weathering, different minerals spontaneously react with atmospheric CO2 to produce calcite. Here, we evaluate the CO2 uptake during slag weathering using image-based analysis. The analysis was applied to an X-ray computed tomography (XCT) dataset of a slag sample associated with the former Ravenscraig steelworks in Lanarkshire, Scotland. The element distribution of the sample was studied using scanning electron microscopy (SEM), coupled with energy-dispersive spectroscopy (EDS). Two advanced image segmentation methods, namely trainable WEKA segmentation in the Fiji distribution of ImageJ and watershed segmentation in Avizo ® 9.3.0, were used to segment the XCT images into matrix, pore space, calcite, and other precipitates. Both methods yielded similar volume fractions of the segmented classes. However, WEKA segmentation performed better in segmenting smaller pores, while watershed segmentation was superior in overcoming the partial volume effect presented in the XCT data. We estimate that CO2 has been captured in the studied sample with an uptake between 20 and 17 kg CO2/1,000 kg slag for TWS and WS, respectively, through calcite precipitation.

Original languageEnglish
Pages (from-to)1514-1525
Number of pages12
JournalMicroscopy and Microanalysis
Volume28
Issue number5
Early online date4 Jul 2022
DOIs
Publication statusPublished - 29 Oct 2022

Keywords

  • slag
  • EDS analysis
  • carbon capture
  • image processing
  • X-ray computed microtomography

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