Prediction of component activity of titanium bearing slag system by M-MIVM
LIU Zhen-nan1,2, TAO Dong-ping3, YAO Chun-ling1,2, LIU Cong1, ZHANG Song-yuan1,2, HUANG Hui1,2
1. Faculty of Metallurgy and Mining, Kunming Metallurgy College, Kunming 650033, Yunnan, China; 2. Kunming Key Laboratory of Comprehensive Utilization Resources of Rare and Precious Metals, Kunming 650033, Yunnan, China; 3. Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
Abstract：A large number of titanium bearing slag is produced in the process of steel smelting with the application of titanium protecting material and titanium bearing iron ore, while the depth development of titanium resource comprehensive utilization technology is limited due to the lack of thermodynamic data of the multi-component titanium bearing slag system. Using the modified molecular interaction volume model (M-MIVM (FII)), the activity of each component in Al2O3-CaO-SiO2, FeO-MnO-SiO2, FeO-MnO-TiO2, FeO-SiO2-TiO2, MnO-SiO2-TiO2, and Al2O3-CaO-FeO-TiO2 was predicted and compared with the experimental values. The results show that the predicted values of M-MIVM (FII) are in good agreement with the experimental data. The average relative error in activity prediction of the six systems is 11%, which is within the experimental error range of 30% proposed by Turkdogan. M-MIVM (FII) is better than MIVM both in parameter fitting and activity prediction, which has a better prediction effect on the component activity of multi-element titanium bearing slag system. On this basis, M-MIVM (FII) was used to predict the activities of TiO2 in Al2O3-CaO-SiO2-TiO2 melt, and the influencing factors were analyzed. The results show that the predicted activities of TiO2 are in good agreement with the experimental data, and decrease with the increase of slag basicity and Al2O3 content, which is consistent with the experimental law. A significant advantage of the M-MIVM(FII) lies in its ability to predict thermodynamic properties of multicomponent melt by only using the component activities or infinite activity coefficients in their sub-binary systems.
刘振楠, 陶东平, 姚春玲, 刘聪, 张凇源, 黄卉. 应用M-MIVM预测含钛渣系组元活度[J]. 钢铁, 2020, 55(11): 16-29.
LIU Zhen-nan, TAO Dong-ping, YAO Chun-ling, LIU Cong, ZHANG Song-yuan, HUANG Hui. Prediction of component activity of titanium bearing slag system by M-MIVM[J]. Iron and Steel, 2020, 55(11): 16-29.
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2020, Vol. 55 
