Evaluation of heat transfer coefficients in continuous casting under large disturbance by weighted least squares Levenberg-Marquardt method

2017 ◽  
Vol 111 ◽  
pp. 989-996 ◽  
Author(s):  
Yuan Wang ◽  
Xiaochuan Luo ◽  
Yang Yu ◽  
Qidong Yin
2010 ◽  
Vol 37 (1) ◽  
pp. 47-56 ◽  
Author(s):  
V. K. de Barcellos ◽  
C. R. F. Ferreira ◽  
C. A. dos Santos ◽  
J. A. Spim

2012 ◽  
Vol 730-732 ◽  
pp. 841-846
Author(s):  
Noé Cheung ◽  
Leonardo L. Taconi ◽  
Amauri Garcia

For the correct simulation of solidification and temperature evolution in the continuous casting of steel, the determination of boundary conditions describing the heat-transfer phenomena through the strand surface, in each cooling zone of the casting machine, is extremely important. These boundary conditions are usually expressed as heat fluxes or heat transfer coefficients. In the present study, the surface temperature of the steel billet was experimentally determined in a steelmaking plant by infrared pyrometers positioned along the secondary cooling zone during real operation of a continuous casting machine. These data were used as input information into an Inverse Heat Transfer Code, implemented in this work, in order to permit the heat transfer coefficients of each spray cooling zone to be determined. The resulting simulations of temperature evolution during continuous casting have shown that the solidification was not complete at the unbending point and that there was a risk of breakout at the mold exit under the adopted operating conditions.


2009 ◽  
Vol 8 (1) ◽  
pp. 18
Author(s):  
V. Karlinski ◽  
W. Fogazzi ◽  
B. V. De Souza ◽  
C. R. F. Ferreira ◽  
C. A. Dos Santos ◽  
...  

This paper aims to apply a solidification mathematical model to the process of the continuous casting of steel. Heat transfer coefficients in the mold were determined by the inverse method and they are related with both macrostructure conditions and carbon equivalents of carbon steels from peritectic reactions. Both structure characterization and ferrite potential were established by solidification parameters and chemical composition after casting. Samples were cut at different positions of the metal/mold interface, whereas the selected sections were polished and etched with a reagent for the metallographic examination. The image processing system was used to analyze as-cast structure for every selected position. It was observed that during casting, numerical predictions about metal/mold heat transfer coefficients along the mold are in accordance with type-A and B steels ferrite potential, due to both its sticking and depression tendency.


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