应用M-MIVM预测含钛渣系组元活度

 在钢铁冶炼过程中,随着护炉钛材料和含钛铁矿石的应用,大量的含钛炉渣被生产出来。由于缺少多元含钛渣系的热力学数据,限制了钛资源综合利用技术的深入发展。因此,应用改进的分子相互作用体积模型(M-MIVM(FII)),预测了基础渣系Al₂O₃-CaO-SiO₂、FeO-MnO-SiO₂和含钛渣系FeO-MnO-TiO₂、FeO-SiO₂-TiO₂、MnO-SiO₂-TiO₂、Al₂O₃-CaO-FeO-TiO₂中各组元活度,并与试验值比较。结果表明,M-MIVM(FII)的预测值与试验值符合较好,6个体系总的平均相对误差为11%,该精度处于Turkdogan提出的30%以内的试验误差范围; M-MIVM(FII)在参数拟合与活度预测能力方面均优于MIVM,该模型对多元含钛熔渣体系组元活度具有更好的预测效果。在此基础上,应用M-MIVM(FII)预测Al₂O₃-CaO-SiO₂-TiO₂熔体中TiO₂活度,并分析其影响因素。结果表明,TiO₂活度预测值与试验值吻合良好,且随炉渣碱度、Al₂O₃含量的增加而降低,该规律与试验规律相一致。M-MIVM(FII)仅通过拟合子二元系活度或者直接由无限稀活度系数就能够预测多元熔体的热力学性质。

Prediction of component activity of titanium bearing slag system by M-MIVM

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.