|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||CFD Modeling and Simulation in Materials Processing
||An Innovative Modeling Approach for Predicting the Desulfurization Kinetics in an Argon-Stirred Ladle Furnace
||Qing Cao, Laurentiu Nastac
|On-Site Speaker (Planned)
A modeling analysis tool for predicting the slag-metal reactions and desulfurization kinetics in gas-stirred ladles was developed. The model consists of two uncoupled components: (i) a computation fluid dynamics (CFD) model for predicting fluid flow and slag-steel interface characteristics, and (ii) a multicomponent reaction model for predicting desulfurization kinetics. The slag eye behavior, slag-steel interface area and mass transfer coefficients in the ladle furnace are simulated by the CFD model. The slag-metal reactions are predicted by computing the thermodynamic kinetics based on the CFD simulation results. This uncoupled prediction methodology was validated by comparing the evolution of steel and slag compositions with the experimental data. Since the desulfurization prediction is uncoupled from the CFD simulation, the computational time for the analysis of sulfur evolution is decreased by more than 100 times. This approach is extremely useful because of the quick prediction of the sulfur evolution in the ladle refining process.
||Planned: None Selected