Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge

Lv, Wu; Xie, Zhi; Mao, Zhizhong; Ping, Yuan; Jia, Mingxing

doi:10.1007/s00521-014-1589-x

Cited by 9 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sulphur in steel is harmful since it may lead to surface defects in steel products [1,2], and sulphide entrapments [3,4] that initiate fatigue cracks. Therefore, sulphur removal has become one of the main objectives during the steelmaking process.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modelling of slag–metal reactions and desulphurization behaviour in gas-stirred ladle based on the DPM-VOF coupled model

Cao

Nastac

2019

Ironmaking & Steelmaking

View full text Add to dashboard Cite

A 3D transient CFD-reaction coupled model is developed to predict the slag-metal reaction and desulphurization kinetics in ladle furnace with both molten slag and air layers considered. The coupled model is able to predict the circulating flow field, capture the transient fluctuation characteristics of slag-air and steel-slag phase interfaces as well as the reaction area. Results also indicate that the distribution and evolution of the steel composition under gas stirring is predicted well. The influence of the chemical compositions of molten steel and slag on sulphur removal efficiency is studied. It is displayed that the Al addition into liquid steel or CaO addition into slag would increase the sulphur distribution ratio, resulting in the improvement of desulphurization efficiency.

show abstract

Section: Introductionmentioning

confidence: 99%

Mathematical modelling of slag–metal reactions and desulphurization behaviour in gas-stirred ladle based on the DPM-VOF coupled model

Cao

Nastac

2019

Ironmaking & Steelmaking

View full text Add to dashboard Cite

show abstract

“…To ensure the accuracy of the prediction model, it must be combined with the actual field production to establish the forecast model. Lv [ 80 ] adjusted the desulfurization model for LF refining slag based on the actual situation, and the percentage of sulfur content prediction error within 0.003% (mass%) was 84%. Smelting is a flexible process, and the prediction model should be debugged and studied further to improve the accuracy of the desulfurization model.…”

Section: Models To Predict Sulfide Capacity Viscosity and Activitymentioning

confidence: 99%

Research Progress of Desulfurization Refining Slag: A Review

Qiu,

Zhang,

Gao

et al. 2023

steel research int.

View full text Add to dashboard Cite

The development of refining slag is the core of the ladle furnace (LF) refining processes and is essential for fast and effective desulfurization refining. Desulfurization reactions are mainly determined by slag–steel interactions, which are closely related to the physicochemical properties of slags. This study reviews the research progress of desulfurization refining slag for the LF process. First, the chemical composition of the refining slag was described, and then three theories of desulfurization and the concepts of sulphide capacity and sulfur partition ratio were introduced. Second, the effects of operating parameters and slag components on desulfurization were examined. Furthermore, the microscopic analysis of the desulfurization process was performed. The prediction models of slag properties related to desulfurization were summarized. Finally, a research direction for LF desulfurization refining was proposed. The question of how to ensure the uniformity of desulfurization remains open. The industrialization of the new refining slag developed by replacing CaO with BaO or Li2O and replacing CaF2 with B2O3 should be accelerated to solve the CaF2 slag volatilization problem. One of the most pressing issues that must be addressed is improving the accuracy of the existing slag performance forecast model.This article is protected by copyright. All rights reserved.

show abstract

“…According to two-film theory, the dynamic behavior of desulphurization process can be mathematically described as follows: 11,12) determination factors according to the specified case. 10,12) [%S] e can be calculated based on the mass balance of sulphur in the metal-slag system: 3,12) [% ]…”

Section: First Principles For Desulphurization Processmentioning

confidence: 99%

A Novel Process Modeling Method for Steel Sulphur Content Soft Sensing during Ladle Furnace Steel Refining

2019

ISIJ Int.

Self Cite

View full text Add to dashboard Cite

Steel sulphur content soft sensing is of great importance for optimal control of the desulphurization process during ladle furnace (LF) steel refining. However, the soft sensing models in the literature at present are not able to capture the multi-stage characteristics. For addressing this problem and thereby obtaining satisfactory performance, stage-based modeling is proposed by virtue of sub-models ensemble. The central idea of this method is to establish several individual sub-models in order to focus on the local process property of each stage during desulphurization. Furthermore, soft partition strategy using nonparametric regression is developed for realizing soft handoff among the sub-models of successive stages, by which the close and changing process properties in the stage-to-stage transition region can be accurately described. Finally, the effectiveness of the presented method is validated by practical data. It can be concluded from experiments that the proposed stage-based modeling approach is able to significantly improve the sulphur content soft sensing performance, which makes it helpful in both process monitoring and operations optimization for LF process.

show abstract

Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge

Cited by 9 publications

References 22 publications

Mathematical modelling of slag–metal reactions and desulphurization behaviour in gas-stirred ladle based on the DPM-VOF coupled model

Mathematical modelling of slag–metal reactions and desulphurization behaviour in gas-stirred ladle based on the DPM-VOF coupled model

Research Progress of Desulfurization Refining Slag: A Review

A Novel Process Modeling Method for Steel Sulphur Content Soft Sensing during Ladle Furnace Steel Refining

Contact Info

Product

Resources

About