Modeling Manganese Silicate Inclusion Composition Changes during Ladle Treatment Using FactSage Macros

被引:0
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作者
Stephano P.T. Piva
Deepoo Kumar
P. Chris Pistorius
机构
[1] Carnegie Mellon University,Department of Materials Science and Engineering, Center for Iron and Steelmaking Research
[2] Ministry of Education of Brazil,CAPES Foundation
关键词
Mass Transfer Coefficient; Nonmetallic Inclusion; Liquid Steel; Oxide Inclusion; Inclusion Composition;
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摘要
This work investigated the use of FactSage macros to simulate steel–slag and steel–inclusion reaction kinetics in silicon-manganese killed steels, and predict oxide inclusion composition changes during ladle treatment. These changes were assessed experimentally using an induction furnace to simulate deoxidation and slag addition. The average steel mass transfer coefficient for the experimental setup was calculated from the analyzed aluminum pick-up by steel. Average oxide inclusion composition was measured using scanning electron microscopy and energy-dispersive X-ray spectroscopy. Confocal laser scanning microscopy was used to assess the physical state (solid or liquid) of oxide inclusions in selected samples. The changes in the chemical compositions of the oxide inclusions and the steel agreed with the FactSage macro simulations.
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页码:37 / 45
页数:8
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