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Multi-Scale Characterization of Industrial Steel Slags Using XRF and SEM–EDS Phase Mapping

Okhunjon SayfidinovDepartment of Mechanical Engineering, Navoi State University of Mining and Technologies, Galaba 76v, Navoi City 210100, UzbekistanSusheng TanDepartment of Electrical and Computer Engineering, Gertrude E. & John M. Petersen Institute of Nanoscience and Engineering, University of Pittsburgh, Pittsburgh, PA 15260, USAB. T. MardonovDepartment of Mechanical Engineering, Navoi State University of Mining and Technologies, Galaba 76v, Navoi City 210100, UzbekistanMakhliyo SayfidinovaDepartment of Mechanical Engineering, Navoi State University of Mining and Technologies, Galaba 76v, Navoi City 210100, UzbekistanBaibhaw KumarInstitute of Energy Engineering and Chemical Machinery, University of Miskolc, 3515 Miskolc, Hungary
Crystalsjournal2026en
ABI

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Steel slags are major by-products of steelmaking, and their variable composition complicates recycling and valorization strategies. This study investigates four representative slag samples obtained from different production pathways at an industrial steel plant in Uzbekistan, using a combined multi-scale characterization approach. Bulk elemental composition was determined using X-ray fluorescence (XRF), while microstructural and phase-level analysis was carried out using scanning electron microscopy with energy-dispersive spectroscopy (SEM–EDS), including both point analysis and automated phase mapping. The XRF results revealed two distinct compositional groups, with one slag dominated by Mn–Si–O chemistry and three slags characterized by high Ca content. SEM–EDS phase mapping further resolved these differences at the microscale, identifying manganese silicate and oxide phases in the Mn-rich slag, Ca–F–O dominant phases in two slags associated with fluorite flux addition, and a more heterogeneous Ca-based system with localized enrichments of Mn, Zn, and Cu in the fourth sample. The combined results demonstrate that slag composition strongly reflects steel grade and fluxing practice. The integration of XRF and SEM–EDS provides a robust framework for linking bulk chemistry with phase distribution, improving slag classification and supporting informed decisions for reuse and environmental management.

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