TY - JOUR
AU1 - Zhang, Guang-zong
AU2 - Wang, Nan
AU3 - Chen, Min
AU4 - Cheng, Yan-qing
AB - A structure-based modeling of the CaO−‘FeO’−MgO−Al2O3−SiO2 system and its subsystems was investigated based on iron extraction from nickel slag by aluminum dross. Parameters optimization in the present model indicated that the coefficient of free O2− in FeO, aOFeO2-\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$a_{{{\text{O}}_{{{\text{FeO}}}}^{{2 - }} }}$$\end{document}, on the lengths of network linkage had the largest value and OFeO2-\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$${\text{O}}_{{{\text{FeO}}}}^{{2 - }}$$\end{document} (free O2− in FeO) had the largest mobility. The coefficients of bridging oxygen (aSi−O−Al and aAl−O−Al) were lower than those of non-bridging oxygen and free oxygen (O2−). Viscosity prediction for the CaO−‘FeO’−(8 wt.%) MgO−Al2O3−SiO2 system was conducted at a fixed slag basicity, which indicated that the predicted viscosity changed monotonously with the FeO content. However, the non-monotonous evolution with Al2O3 content reflected the amphoteric behavior of Al2O3. In addition, the performances of the present model in predicting viscosity from binary (‘FeO’−SiO2) to quinary (CaO−‘FeO’−MgO−Al2O3−SiO2) system were analyzed and a comparison with the established models was made.
TI - Viscosity prediction on iron-bearing slags during pyrometallurgical recycling: structure-based modeling of CaO−‘FeO’−MgO−Al2O3−SiO2 system and its subsystems
JF - Journal of Iron and Steel Research International
DO - 10.1007/s42243-021-00568-4
DA - 2021-03-25
UR - https://www.deepdyve.com/lp/springer-journals/viscosity-prediction-on-iron-bearing-slags-during-pyrometallurgical-EV3hJR514W
SP - 679
EP - 692
VL - 28
IS - 6
DP - DeepDyve
ER -