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Metallurgical and Materials Transactions B

Published in:

26-07-2016

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

Authors: Stephano P.T. Piva, Deepoo Kumar, P. Chris Pistorius

Published in: Metallurgical and Materials Transactions B | Issue 1/2017

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Abstract

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.

previous article A Kinetic Ladle Furnace Process Simulation Model: Effective Equilibrium Reaction Zone Model Using FactSage Macro Processing

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Title: Modeling Manganese Silicate Inclusion Composition Changes during Ladle Treatment Using FactSage Macros
Authors: Stephano P.T. Piva
Deepoo Kumar
P. Chris Pistorius
Publication date: 26-07-2016
Publisher: Springer US
Published in: Metallurgical and Materials Transactions B / Issue 1/2017
Print ISSN: 1073-5615
Electronic ISSN: 1543-1916
DOI: https://doi.org/10.1007/s11663-016-0764-0

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