Kinetic Modeling on Nozzle Clogging during Steel Billet Continuous Casting
Abstract
In the current paper, a kinetic model was developed to study the entrapment of inclusions in the molten steel flowing through a Submerged Entry Nozzle (SEN) during billet continuous casting process. the trajectory of inclusions was calculated by considering the drag force, lift force and gravitational force. the entrapment locations of inclusions on SEN wall were predicted. the effects of nozzle diameter, casting speed, billet dimension, and inclusion diameter on SEN clogging were quantitatively discussed. the results indicate the inclusions with diameter larger than 100 μm are not able to be entrapped by the nozzle wall; and the entrapment probability will increase quickly with decreasing size of inclusions. the distribution of the entrapped inclusions along the nozzle length is non-uniform and the volume fraction of inclusions in the clogging materials should be considered in order to more precisely predict the accumulated weight of molten steel that can be poured before the nozzle is fully blocked by clogging. under the conditions assumed: 150 mm x 150mm billet, 2.0m/min casting speed, approximately 25°C superheat, 1 m length of the SEN (Al2O3-C materials), 20μm inclusions diameter in a single size, 30ppm T.O and 40 mm nozzle diameters, the prediction shows that ∼ 351-ton steel can be poured for the current billet continuous caster. © 2010 ISIJ.
Recommended Citation
M. Long et al., "Kinetic Modeling on Nozzle Clogging during Steel Billet Continuous Casting," ISIJ International, vol. 50, no. 5, pp. 712 - 720, Iron and Steel Institute of Japan, Jul 2010.
The definitive version is available at https://doi.org/10.2355/isijinternational.50.712
Department(s)
Materials Science and Engineering
Publication Status
Free Access
Keywords and Phrases
Fluid flow; Inclusions; Kinetic model; Nozzle clogging; Steel continuous casting
International Standard Serial Number (ISSN)
0915-1559
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 Learned Society, All rights reserved.
Publication Date
26 Jul 2010