Numerical Simulation and Industrial Practice of Retaining Wall Optimization for Six-Strand Tundish
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Numerical Simulation and Industrial Practice of Retaining Wall Optimization for Six-Strand Tundish
Special SteelVol. 43, Issue 3, Pages: 7-13(2022)
作者机构:
1. 北京科技大学钢铁共性技术协同创新中心,北京,100083
2. 攀钢集团研究院有限公司,攀枝花,617000
作者简介:
基金信息:
DOI:
CLC:
Received:12 September 2021,
Online First:15 June 2022,
Published:15 June 2022
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李玉峰, 孙彦辉, 宋思程, et al. Numerical Simulation and Industrial Practice of Retaining Wall Optimization for Six-Strand Tundish[J]. Special Steel, 2022, 43(3): 7-13.
DOI:
李玉峰, 孙彦辉, 宋思程, et al. Numerical Simulation and Industrial Practice of Retaining Wall Optimization for Six-Strand Tundish[J]. Special Steel, 2022, 43(3): 7-13.DOI:
Numerical Simulation and Industrial Practice of Retaining Wall Optimization for Six-Strand Tundish
各流一致性显著增强。40 t中间包U75V重轨钢的生产应用结果表明,优化后最远端水口(3号水口)平均停留时间由原687.1 s降至575.5 s
各流温差由2.05 K降至0.28 K
改善显著。
Abstract
According to the structure and process parameters of a 40 t six-strand heavy rail steel tundish in a steel mill
the flow field
temperature field and RTD curve are studied through numerical simulation of Ansys Fluent software. It is found that the distribution of flow field and temperature field in the original tundish is unreasonable and the flow consistency is poor. Through the orthogonal experiments
the optimized scheme of an elevation angle of 10° at the bottom
an elevation angle of 10° in the middle
and a 0 mm upward movement of the opening of the retaining wall is determined. The simulation results show that through the optimized design
the overall flow field velocity of the tundish is increased
the standard deviation of the average residence time of molten steel is greatly reduced
the lowest temperature is increased by 14. 2 K
the temperature difference of each nozzle is reduced by 1.77 K
and the consistency of each flow is significantly enhanced. The production application results for casting U75V heavy rail steel by 40 t tundish shows that after optimization the forthest nozzle (out3) average residence time reduces from original 687. 1 s to 575. 5 s
the difference of temperature of each nozzle flow decreases from original 2. 05 K to 0. 28 K to improve obviously.