“…The nitrogen stream in the converter body at a distance x from the nozzle totals to where M— the number Mach at the boundary of the jet and the surrounding gas; k—the ratio of specific heats; — establishes a relation between the Mach number Ma 1 at the nozzle cross section and n , σ = 12 + 2.58 Ma ; r max — is the relative maximum radius of the first cell in the mismatched supersonic jet with density discontinuities and is calculated by analogy with [ 16 , 17 , 18 ]; x = l/ r 1 is the distance from the nozzle cross section to the cross section that is under consideration along the jet axis (measured in nozzle diameters); r 1 is the nozzle’s output radius.…”
Section: Methodsmentioning
confidence: 99%
“…For the same reason, N x (stream power) in each nozzle cross-section x increases when the nitrogen stream is heated. When temperature t 0 increases to 600 °C, temperature t x increases over three times to 1780 °C, and so does power N x = 0.61 MW [ 16 ].…”
Section: Methodsmentioning
confidence: 99%
“…Nonetheless, this practice is common in modeling metallurgical processes, including slag spattering. [ 1 , 2 , 3 , 4 , 5 , 6 , 12 , 13 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ].…”
Section: Methodsmentioning
confidence: 99%
“… ( a ) Effect of temperature t x (––) and power N x (- ) depending on the change of nitrogen temperature t 0 , at a different distance x from the nozzle cross-section [ 1 ] and ( b ) change of assumed stream mass g (––) and its power N x (- ) depending on nitrogen temperature t 0 at a different distance x from the nozzle cross section [ 16 , 17 ]. …”
The influence of technological factors on the process of slag splashing was analyzed in the paper. The problems were solved in several stages using our own and commercial calculation programs and laboratory tests. Based on the performed calculations and simulations, factors affecting the slag splashing were determined. It was observed that the high efficiency of the process can be achieved by optimizing numerous technological parameters, e.g., flow parameters, pressure, and temperature of the nitrogen stream, height and angle of the lance position, as well as slag height into which the gas stream enters and MgO consumption. In addition, the chemical and mineralogical composition of the slag and its physicochemical parameters should be also considered. The obtained results of numerical simulations of slag splashing in the oxygen converter coincide with the results of experiments carried out using the physical model of oxygen converter. This means that the simulations well represent the real course of the slag splashing process for the studied variants.
“…The nitrogen stream in the converter body at a distance x from the nozzle totals to where M— the number Mach at the boundary of the jet and the surrounding gas; k—the ratio of specific heats; — establishes a relation between the Mach number Ma 1 at the nozzle cross section and n , σ = 12 + 2.58 Ma ; r max — is the relative maximum radius of the first cell in the mismatched supersonic jet with density discontinuities and is calculated by analogy with [ 16 , 17 , 18 ]; x = l/ r 1 is the distance from the nozzle cross section to the cross section that is under consideration along the jet axis (measured in nozzle diameters); r 1 is the nozzle’s output radius.…”
Section: Methodsmentioning
confidence: 99%
“…For the same reason, N x (stream power) in each nozzle cross-section x increases when the nitrogen stream is heated. When temperature t 0 increases to 600 °C, temperature t x increases over three times to 1780 °C, and so does power N x = 0.61 MW [ 16 ].…”
Section: Methodsmentioning
confidence: 99%
“…Nonetheless, this practice is common in modeling metallurgical processes, including slag spattering. [ 1 , 2 , 3 , 4 , 5 , 6 , 12 , 13 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ].…”
Section: Methodsmentioning
confidence: 99%
“… ( a ) Effect of temperature t x (––) and power N x (- ) depending on the change of nitrogen temperature t 0 , at a different distance x from the nozzle cross-section [ 1 ] and ( b ) change of assumed stream mass g (––) and its power N x (- ) depending on nitrogen temperature t 0 at a different distance x from the nozzle cross section [ 16 , 17 ]. …”
The influence of technological factors on the process of slag splashing was analyzed in the paper. The problems were solved in several stages using our own and commercial calculation programs and laboratory tests. Based on the performed calculations and simulations, factors affecting the slag splashing were determined. It was observed that the high efficiency of the process can be achieved by optimizing numerous technological parameters, e.g., flow parameters, pressure, and temperature of the nitrogen stream, height and angle of the lance position, as well as slag height into which the gas stream enters and MgO consumption. In addition, the chemical and mineralogical composition of the slag and its physicochemical parameters should be also considered. The obtained results of numerical simulations of slag splashing in the oxygen converter coincide with the results of experiments carried out using the physical model of oxygen converter. This means that the simulations well represent the real course of the slag splashing process for the studied variants.
“…Эффективность технологии зависит в основном от двух факторов: параметров и метода разбрызгивания жидкого шлака, а также от его физико-химических свойств. В литературе достаточно широко описаны способы разбрызгивания шлака и энергетические параметры этого процесса [1,2,[4][5][6][7]. Авторами [8][9][10][11][12] предложен ряд усовершенствований, а именно конструкция газоохлаждаемой фурмы, количество сверхзвуковых сопел, а также их угол наклона и расположение.…”
The methods to improve the slag splashing operation were regarded in the article. The phase and mineralogical properties were studied for the converter slag's of one of the Europe Iron and Steel Works. The modeling results for the slags with different compositions are given on base of the earlier studies of the physical and chemical properties.Ill.8. Ref. 28. Tab.1.
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