Fundamentally-based computational models are developed to quantify the removal of inclusions by bubbles during the continuous casting of steel. First, the attachment probability of inclusions on a bubble surface is investigated based on fundamental fluid flow simulations, incorporating the turbulent inclusion trajectory and sliding time of each individual inclusion along the bubble surface as a function of particle and bubble size. Then, the turbulent fluid flow in a typical continuous casting mold, trajectories of bubbles and their path length in the mold are calculated. The change in inclusion distribution due to removal by bubble transport in the mold is calculated based on the computed attachment probability of inclusion on each bubble ...
A new methodology of average bubble number density (ABND) model for handling the evolution of polydi...
The practice of inert gas bubbling in steel refining ladle aims the removal of non-metallic inclusio...
Water model experiments, mathematical models, and plant data are analyzed to understand the behavior...
The attachment probability of inclusions on a bubble surface is investigated based on fundamental fl...
The quality of continuous cast steel is greatly affected by fluid flow in the mold region, especiall...
Water models using perspex have been built to study the fluid flow and recirculation patterns develo...
A mathematical model has been developed to determine the optimum bubble size for the removal of incl...
Population balance equations combined with Eulerian-Eulerian two-phase model are employed to predict...
Inclusions entrapped by the solidifying front during continuous casting would deteriorate the proper...
Turbulent structures are important in influencing inclusion transport in continuous casting of steel...
A particle-entrapment model based on local force balances has been developed, implemented into compu...
Turbulent flow in the continuous casting process involves transient phenomena and the transport of i...
Argon-gas injection parameters including flow rate and bubble size distribution are important to pre...
To improve the efficiency of the continuous casting process and the quality of its products, this di...
The entrapment of inclusions, bubbles, slag, and other particles into solidified steel products is a...
A new methodology of average bubble number density (ABND) model for handling the evolution of polydi...
The practice of inert gas bubbling in steel refining ladle aims the removal of non-metallic inclusio...
Water model experiments, mathematical models, and plant data are analyzed to understand the behavior...
The attachment probability of inclusions on a bubble surface is investigated based on fundamental fl...
The quality of continuous cast steel is greatly affected by fluid flow in the mold region, especiall...
Water models using perspex have been built to study the fluid flow and recirculation patterns develo...
A mathematical model has been developed to determine the optimum bubble size for the removal of incl...
Population balance equations combined with Eulerian-Eulerian two-phase model are employed to predict...
Inclusions entrapped by the solidifying front during continuous casting would deteriorate the proper...
Turbulent structures are important in influencing inclusion transport in continuous casting of steel...
A particle-entrapment model based on local force balances has been developed, implemented into compu...
Turbulent flow in the continuous casting process involves transient phenomena and the transport of i...
Argon-gas injection parameters including flow rate and bubble size distribution are important to pre...
To improve the efficiency of the continuous casting process and the quality of its products, this di...
The entrapment of inclusions, bubbles, slag, and other particles into solidified steel products is a...
A new methodology of average bubble number density (ABND) model for handling the evolution of polydi...
The practice of inert gas bubbling in steel refining ladle aims the removal of non-metallic inclusio...
Water model experiments, mathematical models, and plant data are analyzed to understand the behavior...