scholarly journals Requirements for magnesium-carbon refractories for bof lining and features of steelmaking technologies in its use

2018 ◽  
pp. 22-33
Author(s):  
O Velichko ◽  
B Boichenko ◽  
M Mazov ◽  
O Stoianov ◽  
Y Synehin ◽  
...  

The aim of the work is to develop a computer model of BOP-process that takes into account the interrelation of the parameters of steel smelting with the processes of refractories wear and is aimed at improving the conversion efficiency of metal. To achieve this goal, the authors has carried out a theoretical analysis of the patterns of assimilation of refractories by the slag phase formed during BOF smelting, used X-ray structural, spectral and microscopic studies of samples of magnesium-carbon refractories selected from different zones of the converter lining. By the method of regression analysis of the heats, mathematical models have been obtained that describe the features of the destruction of magnesium-carbon refractories. According to the research results, the main factors affecting the internal mass transfer in refractories under the conditions of its contact with the liquid slag melt have been defined. The requirements for the physical and chemical properties of magnesium-carbon refractories of the BOF working layer and for the production conditions have been substantiated. Scientific novelty of the work is the creation of a mathematical model for describing the process of internal mass transfer between the liquid slag phase of BOF and refractory, which takes place in its pores. The influence of the refractory porosity, pore diameter, concentration of the slag components, interfacial tension, wettability of the refractory with the liquid slag phase on the rate of internal mass transfer processes in BOF lining has been determined. The practical significance of the studies is a BOF model developed on a PC and adapted for PJSC “Dniprovsky Metallurgical Plant”, taking into account the interrelation of the parameters of metal conversion with the processes of magnesium-carbon refractories destruction, which allows to predict and optimize the process results.

2018 ◽  
pp. 22-33
Author(s):  
O Velichko ◽  
B Boichenko ◽  
M Mazov ◽  
O Stoianov ◽  
Y Synehin ◽  
...  

The aim of the work is to develop a computer model of BOP-process that takes into account the interrelation of the parameters of steel smelting with the processes of refractories wear and is aimed at improving the conversion efficiency of metal. To achieve this goal, the authors has carried out a theoretical analysis of the patterns of assimilation of refractories by the slag phase formed during BOF smelting, used X-ray structural, spectral and microscopic studies of samples of magnesium-carbon refractories selected from different zones of the converter lining. By the method of regression analysis of the heats, mathematical models have been obtained that describe the features of the destruction of magnesium-carbon refractories. According to the research results, the main factors affecting the internal mass transfer in refractories under the conditions of its contact with the liquid slag melt have been defined. The requirements for the physical and chemical properties of magnesium-carbon refractories of the BOF working layer and for the production conditions have been substantiated. Scientific novelty of the work is the creation of a mathematical model for describing the process of internal mass transfer between the liquid slag phase of BOF and refractory, which takes place in its pores. The influence of the refractory porosity, pore diameter, concentration of the slag components, interfacial tension, wettability of the refractory with the liquid slag phase on the rate of internal mass transfer processes in BOF lining has been determined. The practical significance of the studies is a BOF model developed on a PC and adapted for PJSC “Dniprovsky Metallurgical Plant”, taking into account the interrelation of the parameters of metal conversion with the processes of magnesium-carbon refractories destruction, which allows to predict and optimize the process results.


1982 ◽  
Vol 43 (6) ◽  
pp. 1389-1394
Author(s):  
A. M. Abramets ◽  
I. I. Lishtvan ◽  
N. V. Churaev

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