Numerical Method for Deforming Solidification Fronts in Continuous Casting

Ito, Nobuaki

doi:10.1299/jtst.1.54

Cited by 4 publications

(1 citation statement)

References 21 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…simulation from the viewpoint of numerical error. 1) In this approach, the entire analysis zone is divided into a liquid and a solidified material (S.M.) zone.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Model for Thin Solidified Material in Continuous Casting

Ito

2007

Mater. Trans.

Self Cite

View full text Add to dashboard Cite

An asymptotic explicit numerical method was developed for the Stefan problem in which a series of solidification rates and boundary temperatures for the solidified material are given and the boundary heat flux is returned. A spectral method with several basis functions of a specialized shape in the solidification problem was adopted. Combined with multi-dimensional computational fluid dynamics methods for the liquid zone, this method is adequate for resolving the thin solidified material problem for a variety of continuous casting processes e.g. thin slab continuous casting, melt-spinning, twin roll casting, and edge-defined film-fed growth. The method is less expensive than conventional numerical methods and as accurate as a direct numerical approach such as the Finite Difference Method especially in the case of the Stefan number ) 1 or in the case of variable material properties.

show abstract

“…simulation from the viewpoint of numerical error. 1) In this approach, the entire analysis zone is divided into a liquid and a solidified material (S.M.) zone.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Model for Thin Solidified Material in Continuous Casting

Ito

2007

Mater. Trans.

Self Cite

View full text Add to dashboard Cite

show abstract

A model to predict coil temperature evolution during the whole thermal cycle process of ladle with a novel steel teeming technology

WANG

et al. 2022

JTST

View full text Add to dashboard Cite

Electromagnetic induction controlled automated steel teeming (EICAST) is a ladle-sand-free technology applied to the steel teeming process for clean steel practice. The temperature of the induction coil in the EICAST system greatly influence its service life. In this paper, a numerical model was developed to predict the temperature evolution of the induction coil without or with a nano thermal insulation felt (WDS) during the whole thermal cycle of ladle. Industrial experiment was conducted for the model validation. The results indicate that WDS reduces the coil temperature at the ladle baking and secondary refining stages, however it causes a rapid jump in the coil temperature from 309°C to 707°C during the induction heating process. Because the coil temperature is high enough compared to its ambient temperature after the induction heating stage, the temperature of the induction coil using WDS heat insulation material drops to 461°C constantly at the steel teeming stage. The measured temperatures of the nozzle brick and coil in the industrial experiment correspond well with the calculated ones by numerical simulation. The developed model could be used to predict the coil temperature evolution and improve coil cooling strategy at each stage of the whole thermal cycle process of ladle for the industrial application.

show abstract

Numerical Method for Deforming Solidification Fronts in Continuous Casting

Cited by 4 publications

References 21 publications

Heat Transfer Model for Thin Solidified Material in Continuous Casting

Heat Transfer Model for Thin Solidified Material in Continuous Casting

A model to predict coil temperature evolution during the whole thermal cycle process of ladle with a novel steel teeming technology

Simulation Model for Solidification Process in Planar Flow Casting Using the Multi-zone Method

Contact Info

Product

Resources

About