Effect of basicity on metallurgical properties of magnesium fluxed pellets

  • Jie Li
  • Hai-fei An
  • Wei-xing Liu
  • Ai-min Yang
  • Man-sheng ChuEmail author
Original Paper


Magnesium fluxed pellets are the focus of blast furnace burden research for reducing environmental load. The pelletizing, roasting and metallurgical properties of a Chinese fine magnetite ore with the addition of magnesium flux were experimentally tested, and the effects of basicity on the consolidation behavior, compressive strength, and reducibility of magnesium fluxed pellets were systematically clarified. Then, the mechanisms were analyzed by means of thermodynamics calculation and scanning electron microscopy–energy-dispersive spectrometry analysis methods. The results show that the consolidation behavior of magnesium fluxed pellets during roasting process was obviously promoted with increasing the basicity of the magnesium fluxed pellets. The compressive strength increased firstly and then decreased, reaching the maximum value of 2352 N/pellet with the basicity of 1.0. The reduction degree increased gradually with enhancing the basicity owing to the fact that the decomposition of the added CaCO3 could increase the porosity of pellets, thereby increasing the CO diffusion in pellet during reduction. Simultaneously, the reduction swelling index was improved with increasing the basicity because the generated calcium ferrite could effectively suppress the growth of iron whiskers.


Magnesium fluxed pellet Basicity Compressive strength Reduction degree Reduction swelling 



This work was supported by National Natural Science Foundation of China (No. 51974131), Science and Technology Project of Hebei Education Department (No. BJ2017021), NCST Natural Science Funds for Distinguished Young Scholars (No. JQ201711), and Hebei Province Natural Science Fund for Excellent Young Scholars (No. E2018209248).


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Copyright information

© China Iron and Steel Research Institute Group 2019

Authors and Affiliations

  • Jie Li
    • 1
  • Hai-fei An
    • 1
  • Wei-xing Liu
    • 1
  • Ai-min Yang
    • 2
  • Man-sheng Chu
    • 3
    Email author
  1. 1.College of Metallurgy and EnergyNorth China University of Science and TechnologyTangshanChina
  2. 2.Hebei Key Laboratory of Data Science and ApplicationsNorth China University of Science and TechnologyTangshanChina
  3. 3.School of MetallurgyNortheastern UniversityShenyangChina

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