Steelmakers focus on producing high quality steel to minimize defects, as this strategy maximizes their productivity and profit. The paper describes how to create a macro model of solidification of continuously cast steel. The described model is fully 3D, non-stationary and is implemented in a form suitable for GPU (Graphics Processing Unit). The formation of blank cracks follows the continuous casting of steel from the beginning and is a problem for the production of some steel grades. The various criteria that can predict the occurrence of defects in continuous steel casting can serve to optimize the casting process, control the blank cooling, and then predict the quality of the resulting blank.
Topics
Graphics processing units
REFERENCES
1.
2.
J. P.
Birat
et al., The Making, Shaping and Treating of Steel: Casting Volume
: 11th. Edition (Alan W. Cramb. The AISE Steel Foundation
, Pittsburgh
, 2003
).3.
S.
Louhenkilpi
, Treatise on Process Metallurgy: Industrial Processes, Continuous casting of steel
(Elsevier
, 2014
).4.
J.
Miettinen
, S.
Louhenkilpi
, H.
Kytönen
and J.
Laine
, Mathematics and Computers in Simulation
80
, 1536
–1550
(2010
).5.
6.
L.
Klimes
and J.
Stetina
, “Challenges in numerical modelling of continuous steel casting-very fast GPU dynamic solidification model and its use in continuous casting control
”, in 8th European Continuous Casting Conference ECCC, ASMET
, (Graz
, 2014
) pp. 266
–275
.7.
K.
Kim
, T.-J.
Yeo
, K. H.
Oh
and D. N.
Lee
, ISIJ Int.
36
, 284
–289
(1996
).8.
B. C. C.
Liu
, J. W. W.
Kang
and S. M. M.
Xiong
, Sci. Technol. Adv. Mater.
2
, 157
–164
(2001
).9.
M. S.
Kulkarni
, A. S.
Babu
and J.
Mater
, Process. Technol.
166
, 294
–306
(2005
).
This content is only available via PDF.
© 2019 Author(s).
2019
Author(s)
You do not currently have access to this content.