As a postdoctoral researcher, my research comprises of parameterization and optimization of fluid flow in the continuous casting mold. This project will be conducted simultaneously at University of Toronto and ArcelorMittal Dofasco, Hamilton. A comprehensive study of fluid flow in mold will be conducted based on water modeling experiments, computational fluid dynamics simulations, and plant trials. This will help to minimize casting defects and increase caster throughput. Such optimization of the continuous casting process will have a direct impact on automotive, construction, packaging and energy industry by increasing productivity and quality improvements. The environmental benefits to the Canadian economy are expected in reducing wastes, energy efficiency and minimizing greenhouse gas emissions.
In my Doctoral research work, I conducted phase diagram experiments and thermodynamic database development of Li2O-Na2O-MgO-CaO-Al2O3-SiO2 system by CALPHAD approach (FactSage thermochemical software). The thermodynamic stability information of several Li2O-based compounds and solid solution were reviewed and determined (for example LiAlO2, LiAl5O8-MgAl2O4 spinels, orthosilicates, eucryptite, spodumene etc.) for the first time.
The Li2O-containing database was integrated with the fluoride-containing database (in FactSage) and a mold flux design strategy was devised based on the phase diagram, solidification and viscosity calculations. New mold flux compositions containing less fluoride additives were proposed which are suitable for high-Al steel castings. The database was also applied to perform thermodynamic analysis of the selective crystallization in Li2O-based glass-ceramics. The Gibbs energy of the compounds and solid solutions optimized in this work also provide stability information for prospective cathode materials in Li2O-battery applications.