Home Journals Articles Updates About
CN
image
收藏切换
Optimization of Continuous Casting Mold Pull Velocity Based on Numerical Simulation
收藏切换
PDF
Haitao XIA1, Qiliang LI2, Shuo CHEN1, 3, Yu XIE4, Zhengjie FANG4
Chinese Quarterly of Mechanics | 2025, 46(3) : 775 - 785
Less
收藏切换
Chinese Quarterly of Mechanics | 2025, 46(3): 775-785
Optimization of Continuous Casting Mold Pull Velocity Based on Numerical Simulation
Full
Haitao XIA1, Qiliang LI2, Shuo CHEN1, 3, Yu XIE4, Zhengjie FANG4
Affiliations
  • 1.School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
  • 2.School of Automotive Studies, Tongji University, Shanghai 201804, China
  • 3.Shanghai Key Laboratory of Vehicle Aerodynamics and Vehicle Thermal Management Systems, Tongji University, Shanghai 201804, China
  • 4.Central Research Institute, Baoshan Iron & Steel Co., Ltd., Shanghai 201900, China
Published: 2025-09-25 doi: 10.15959/j.cnki.0254-0053.2025.03.018
Outline
收藏切换

Currently, over 90% of crude steel production is achieved through continuous casting. Increasing the casting speed during continuous casting can significantly enhance production efficiency, but it also impacts the flow field, exacerbating slag entrapment and argon bubble entrainment, which lead to a series of quality defects. These issues have become critical constraints on the development of high-speed continuous casting molds. This paper establishes a multiphase numerical model of the continuous casting mold by coupling Large Eddy Simulation (LES) with the Volume of Fluid (VOF) method and a two-way coupled Discrete Phase Model (DPM). By analyzing flow field variations, steel-slag interface velocity, interface fluctuations, and slag entrapment ration under three different casting speeds, the internal correlation mechanisms are revealed. The study finds that appropriately increasing casting speed can improve production quality, providing a reference for optimizing casting speed in continuous casting processes.

continuous casting mold  /  pull velocity  /  slag entrapment ration  /  multiphase coupled model
Haitao XIA, Qiliang LI, Shuo CHEN, Yu XIE, Zhengjie FANG. Optimization of Continuous Casting Mold Pull Velocity Based on Numerical Simulation[J]. Chinese Quarterly of Mechanics, 2025 , 46 (3) : 775 -785 . DOI: 10.15959/j.cnki.0254-0053.2025.03.018
Appendix
Less
Year 2025 volume 46 Issue 3
PDF
138
66
Cite this Article
BibTeX
Article Info
doi: 10.15959/j.cnki.0254-0053.2025.03.018
  • Receive Date：2025-03-18
  • Online Date：2026-03-24
  • Published：2025-09-25
Article Data
Affiliations
History
  • Received：2025-03-18
Funding
Affiliations
    1.School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
    2.School of Automotive Studies, Tongji University, Shanghai 201804, China
    3.Shanghai Key Laboratory of Vehicle Aerodynamics and Vehicle Thermal Management Systems, Tongji University, Shanghai 201804, China
    4.Central Research Institute, Baoshan Iron & Steel Co., Ltd., Shanghai 201900, China
References
Share
https://castjournals.cast.org.cn/joweb/lxjk/EN/10.15959/j.cnki.0254-0053.2025.03.018
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House