A Kinetic Model of Hot Metal Desulfurization by Injecting Mg Based on Self-learning
A kinetic model of desulfurization with magnesium injection from hot metal based on self-learning was built and the unknown kinetic parameters in this model,that is,volumetric mass transfer coefficients of sulphur and magnesium,VS and VMg,and magnesium dissolution mass fraction,RMg were determined with industrial data from a steelmaking plant.Then the model was applied in the industrial hot metal desulfurization process and influence of temperature and composition of hot metal on desulfurization results was investigated.It was found that the kinetic parameters,VS,and VMg,obtained in present work vary 2.125~2.194 m3/s,and 1.304~1.803 m3/s,respectively,while magnesium dissolution mass fraction,RMg,changes between 0.539 and 0.974 and has an important effect on magnesium consumption amount prediction.Magnesium amount needed for the desulfurization in most heats from the numerical calculation with this kinetic model is in good agreement with that from the industrial practice.At temperature range lower than 1300℃ magnesium amount for desulfurization increases at lower rate,but it rises at higher rate in the temperature range higher than 1300℃.Magnesium utilization ratio for desulfurization of hot metal can be improved at lower temperature range,such as 1250~1300℃,and higher initial sulfur content,e.g.0.035~0.060%.
hot metal pretreatment magnesium injection desulfurization kinetic model kinetic parameter self-learning
ZHONG Liangcai LI Xiaoxiang JI Weiye
School of Metallurgy,Northeastern University,Shenyang,110004,Liaoning,China;Key Laboratory of Eco-utilization of Polymetallic Ore of Ministry of Education,Northeastern University,Shenyang,110004,Liaoning,China
国际会议
STEELSIM2017(第七届冶金过程及钢铁材料模拟及仿真国际会议)
青岛
英文
116-121
2017-08-16（万方平台首次上网日期，不代表论文的发表时间）