Title :
Computational Prediction Model of Macrosegregation in Continuously Casting Steel Blooms
Author :
Zhai Yingying ; Li Ying ; Yan Chen ; Zhang Yu
Author_Institution :
Northeastern Univ., Shenyang, China
Abstract :
Based on the mixture theory, to clarify the mechanism of macro segregation of blooms, a mathematical model of macro segregation coupled with a heat transfer equation and a solute balance equation is developed. The software is built with VC++ as the program language to predict the process, which can simulate the temperature filed, the solute concentration in the central portion and so on. The semi-analytical and semi-discretizing method is applied to resolve heat transfer equation and solute equation. The simulation results are in good agreement with experiment values. It is shown that the macro segregation can be well simulated by this software. A solute-enriched Liquid region is formed in the upstream Liquid region in the final stage of solidification, which is the main cause of the macro segregation. These results can provide valuable theoretical basis to alleviate or eliminate macrosegregation.
Keywords :
C++ language; Visual BASIC; billets; blooming mills; casting; heat transfer; mixtures; production engineering computing; segregation; solidification; steel; VC++; casting process; computational prediction model; continuously casting steel blooms; heat transfer equation; macrosegregation; mathematical model; mixture theory; program language; semianalytical method; semidiscretizing method; solidification; solute balance equation; solute concentration; solute enriched liquid region; upstream liquid region; Carbon; Casting; Equations; Mathematical model; Software; Solids; Steel; bloom; continuous casting; macrosegregation; numerical simulation;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.84