Formation and characterization of non-metallic inclusions in steel produced by melting secondary ferrous scrap in an electric arc furnace: A case study of AISI 1066 steel

Authors

  • Nozimjon Kholmirzaev Tashkent State Technical University
  • Nodir Turakhodjaev 1Department of Metal Technologies, Tashkent State Technical University, 100095 Tashkent
  • Jamshidbek Khasanov Andijan State Technical Institute
  • Chong Yang State Key Laboratory for Mechanical Behavior of Materials, Xi’an Jiaotong University
  • Bekzod Yusupov Almalyk State Technical Institute
  • Shokhista Saidkhodjaeva Tashkent State Technical University
  • Abdujalol Bektemirov Uzbek-Japan Innovation Center of Youth
  • Nargiza Sadikova Tashkent State Technical University
  • Zokirjon Nurdinov Tashkent State Technical University
  • Nuriddin Yusupov Andijan State Technical Institute
  • Davronbek Juraboev Andijan State Technical Institute
  • Bobomurod Nurmurodov Uzbek-Japan Innovation Center of Youth

DOI:

https://doi.org/10.36547/ams.32.2.2284

Keywords:

non-metallic inclusions, scrap-based, inclusion size distribution, deep learning, oxide and sulfide, metallurgical cleanliness

Abstract

This study investigated the formation of non-metallic inclusions and their characterization during the melting of AISI1066 steel from secondary metal scrap in an electric arc furnace. The analyses were carried out using scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS). In addition, a deep learning-based segmentation method was applied to improve the identification of inclusions. The results confirmed a heterogeneous microstructure consisting of non-metallic inclusions dispersed within a Fe-based matrix. The size of the inclusions ranged from a few micrometers up to approximately 40 µm. The majority of inclusions were found within the range of 10–25 µm. SEM analysis showed that the inclusions predominantly exhibit irregular and globular morphologies. EDS results confirmed that they consist of manganese sulfides (MnS), oxides (Al₂O₃ and SiO₂), and complex multi-phase particles. The elevated sulfur (S) (0.12 wt.%) and copper (Cu) (0.81 wt.%) contents in the investigated samples indicate that deoxidation and modification processes were not sufficiently effective.

The deep learning-based model made it possible to accurately separate non-metallic inclusions in the alloy composition. According to the model results, inclusions larger than ≥30 µm mainly represent the fraction of oxide phases, while fine inclusions smaller than <20 µm represent the fraction of sulfide phases.

Downloads

Published

2026-06-28

How to Cite

Kholmirzaev, N., Turakhodjaev, N., Khasanov, J., Yang, C., Yusupov, B., Saidkhodjaeva, S., … Nurmurodov, B. (2026). Formation and characterization of non-metallic inclusions in steel produced by melting secondary ferrous scrap in an electric arc furnace: A case study of AISI 1066 steel. Acta Metallurgica Slovaca, 32(2), 116–123. https://doi.org/10.36547/ams.32.2.2284