首页|Modeling of LF refining process:a review

Modeling of LF refining process:a review

扫码查看
With the increasing demand for energy conservation and emission reduction,more attentions have been paid to the intelligentization,greenization and low carbonization during the transformation and upgrading of steelmaking plants.Ladle furnace(LF)refining is one of the key procedures in steelmaking process and has been widely used in steelmaking plants for its high equipment matching degree,low equipment investment and outstanding refining performance.According to the main tasks of LF refining process,the modeling methods of temperature prediction model,slag-making model,alloying model,argon blowing model and model of inclusions behavior were systematically reviewed,and the advantages and disadvantages of each modeling method were summarized.In addition,the technical framework for the future has also been proposed based on existing works,including classification of raw materials,graphic representation of knowledge,introduction,upgradation and management of device/equipment,customization of steelmaking,modeling of refining process,synergy of models,intelligentization of decision-making,automation of control,and digitization of processes and operations,aiming to provide a reference for the modeling and intelligent development of LF refining process.

LF refiningTemperature predictionSlag-makingAlloyingArgon blowingInclusion behaviorModeling method

Zi-cheng Xin、Jiang-shan Zhang、Kai-xiang Peng、Jun-guo Zhang、Chun-hui Zhang、Qing Liu

展开 >

State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing,Beijing 100083,China

School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China

Tangshan Branch,Hebei Iron and Steel Co.,Ltd.,Tangshan 063000,Hebei,China

Xinjiang Bayi Iron and Steel Co.,Ltd.,Baosteel Group,Wulumuqi 830022,Xinjiang,China

展开 >

This project is funded by the National Natural Science Foundation of ChinaThis project is funded by the National Natural Science Foundation of ChinaThis project is funded by the National Natural Science Foundation of ChinaProgram for New Century Excellent Talents in UniversityFundamental Research Funds for Central Universitiesfunding of State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing,Chinafunding of State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing,China

508740145197402352374321NCET 07-0067FRF-BR-17-029A4162000741621005

2024

钢铁研究学报(英文版)
钢铁研究总院

钢铁研究学报(英文版)

CSTPCD
影响因子:0.584
ISSN:1006-706X
年,卷(期):2024.31(2)
  • 202