Issue |
Metall. Res. Technol.
Volume 112, Number 4, 2015
|
|
---|---|---|
Article Number | 403 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/metal/2015020 | |
Published online | 12 August 2015 |
Development and application of an off-line soft reduction model during continuous casting of high-carbon rectangular billet
1
State Key Laboratory of Advanced Metallurgy, University of Science
and Technology Beijing, Beijing
100083, P.R.
China
e-mail: zengjie2014@126.com
2
Qingdao Iron and Steel Group Co., Ltd.,
Qingdao
266043, P.R.
China
Received:
17
November
2014
Accepted:
19
June
2015
An off-line soft reduction model was developed in order to improve the inner quality of high-carbon rectangular billet, which includes a heat transfer model, cooling water control model and roll-gap calculation model. The distribution of the total reduction amount in each pinch roll is calculated by using a segmented slope method in the reduction zone. The model application results showed that the inner quality of the high-carbon 82B steel with a section size of 180 mm × 240 mm had clearly been improved. It is evident that the formation of V-segregation in a rectangular billet subjected to soft reduction is suppressed and the centerline shrinkage cavity is clearly decreased. The mean center carbon segregation index was reduced from 1.15 to 1.08 with soft reduction. Besides, the soft reduction process improved the compactness and homogeneity of the central equiaxed dendrite zone and decreased the secondary dendrite arm spacing.
Key words: Rectangular billet continuous casting / off-line soft reduction model / macrosegregation / V-segregation / dendrite morphology
© EDP Sciences 2015
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.