A method for predicting the composition of lf refined liquid steel

Abstract

The present application belongs to the technical field of steel smelting, and particularly relates to a LF refining molten steel composition prediction method. The present application defines and divides the effective reaction region of the LF refining process by using the effective balance reaction region model; for the divided reaction region, the related parameters and the mass of each phase participating in the local balance reaction are determined; the LF refining process molten steel composition prediction is realized by using the FactSage thermodynamic calculation software macro processing technology. The prediction method of the present application does not need a large amount of data for training, and only needs to carry out kinetic simulation under the condition of limited data support, so that the number of trial and error can be greatly reduced, the production efficiency can be improved, the production cost can be reduced, and the molten steel quality can be improved. The present application is based on the principle of multiphase physical and chemical reaction, comprehensively considers the interaction between each phase in the LF refining process, practically corresponds to the actual reaction process of the LF refining, and can adapt to the sudden data fluctuation in actual production, so as to accurately predict the composition change of the LF refining molten steel.

Description

Technical Field

[0001] This invention belongs to the field of iron and steel smelting technology, and specifically relates to a method for predicting the composition of LF refined molten steel. Background Technology

[0002] In the steelmaking process, the LF refining furnace plays a crucial role in refining molten steel. It serves not only as a bridge connecting upstream and downstream processes but also as a "regulator" of the entire steel production process. After primary refining, the temperature and composition of molten steel may fluctuate, and the task of LF refining is to regulate these fluctuations, ensuring that molten steel meets standards for subsequent refining or continuous casting processes. However, in practice, LF refining presents the following problems: Due to the unstable state of the molten steel at the end of primary refining, the selection and addition of deoxidizers, slag-forming materials, and alloys, as well as the control of argon blowing flow rate, often depend on the operator's judgment during LF refining. This can lead to significant fluctuations in molten steel kinetics, slag formation, and molten steel composition during LF refining, thus affecting the refining effect. Even under the same process and refining slag addition conditions, the reactions occurring when smelting different steel grades are not entirely the same, significantly increasing the uncertainty of molten steel composition during LF refining.

[0003] Chinese patent CN116469481A discloses a method for predicting the composition of LF refined molten steel based on the XGBoost algorithm. This method uses the XGBoost algorithm to predict the content of Al, Si, and Mn elements in LF refined molten steel. The specific steps are as follows: First, initial parameters for LF refining are collected and the data is preprocessed. Then, an XGBoost model is constructed using a training set. When the model evaluation is satisfactory, the model prediction results are processed, and actual production data for a future period is collected, incorporated into the sample data, and stored in a database. When the model evaluation data is unsatisfactory, the model returns to the data preprocessing step. However, this prediction method relies on a large dataset. For new process conditions or new steel grades, due to a lack of sufficient data support, it is difficult to apply this method for prediction. This prediction method only predicts the composition of molten steel at the surface level of the data and cannot delve into the microscopic level of the interaction between each element and each phase. In actual operation, when there are large fluctuations in individual elements, this prediction method will fail. In summary, the LF refining molten steel composition prediction method based on the XGBoost algorithm has significant limitations. Summary of the Invention

[0004] In view of this, the present invention provides a method for predicting the composition of LF refined molten steel. The prediction method provided by the present invention closely matches the actual production needs and can maintain the accuracy of the prediction under unstable process conditions.

[0005] To address the aforementioned technical problems, this invention provides a method for predicting the composition of LF refined molten steel, comprising the following steps:

[0006] Step 1: Based on the effective equilibrium reaction zone model, the reactions occurring in the LF refining process are defined and divided into reaction zones; the reaction zones include: electrode carburizing zone, alloy dissolution reaction zone in molten steel, inclusion flotation zone, refining slag dissolution reaction zone in slag, refractory material reaction zone with molten steel, refractory material reaction zone with slag, molten steel reaction zone with slag, molten steel mixing zone, and slag mixing zone;

[0007] Step 2: Determine the composition and mass M of the first molten steel based on the input molten steel composition and mass. 钢液1 The composition and mass M of the first inclusion 夹杂物1 According to the composition and mass M of the first inclusion 夹杂物1 The mass Δm of the inclusions entering the inclusion uplift zone within the time step is obtained. 夹杂物 The mass M of inclusions entering the alloy dissolution reaction zone of the molten steel 夹杂物1 -Δm 夹杂物 ;

[0008] Δm, the carburization mass Δm of the electrode into the carburization zone of the molten steel within the set power supply system, is calculated within the time step. 碳 According to the carburizing quality Δm 碳 The composition and mass of the first molten steel M 钢液1 Determine the composition and mass M of the second molten steel. 钢液2 ;

[0009] Based on the input alloy addition regime and the composition and mass M of the second molten steel. 钢液2 The composition and mass M of the second inclusion in the alloy dissolution reaction zone of the molten steel were obtained respectively. 夹杂物2 The composition and mass M of the third molten steel 钢液3 ;

[0010] Calculate the mass Δm of refractory material participating in the reaction within the reaction zone of refractory material and molten steel during the time step based on the refractory material composition and dissolution rate. 耐材→钢液 The mass Δm of refractory material participating in the reaction within the refractory-slag reaction zone. 耐材→炉渣 The composition and mass M of the third inclusion in the reaction zone between the refractory and molten steel were obtained. 夹杂物3 The composition and mass M of the fourth molten steel in the reaction zone between refractory and molten steel. 钢液4 ;

[0011] The composition and mass M of the first slag are determined based on the input slag composition and mass. 炉渣1 Based on the composition and mass M of the first slag 炉渣1 The established refining slag feeding system and the inclusion floating zone allow the inclusions to dissolve in the slag reaction zone, resulting in the second slag composition and mass M.炉渣2 According to the mass Δm of the refractory material participating in the reaction in the reaction zone between the refractory material and the slag. 耐材→炉渣 Second slag composition and mass M 炉渣2 The composition and mass M of the third slag in the reaction zone between the refractory and the slag were obtained. 炉渣3 ;

[0012] The mass Δm of molten steel participating in the reaction in the reaction zone of molten steel and slag within the time step is calculated according to Formula 1. 钢液 According to Formula 2, the mass of slag participating in the reaction between molten steel and slag in the reaction zone within the time step is calculated as Δm. 炉渣 ;

[0013] Δm 钢液 =k 钢液 A 炉底 ρ 钢液 Formula 1 for Δt

[0014] Δm 炉渣 =k 炉渣 A 炉底 ρ 炉渣 Formula 2 for Δt.

[0015] Where, k 钢液 Let be the mass transfer coefficient of the elements in molten steel, in m·s. -1 ;k 炉渣 Let be the mass transfer coefficient of the slag components, in m·s. -1 A 炉底 Let m be the geometric area of ​​the molten steel surface inside the LF refining furnace. 2 ;ρ 钢液 Density of molten steel, kg·m -3 ;ρ 炉渣 The density of slag is expressed in kg·m³. -3 Δt is the time step, in seconds;

[0016] Within the time step, the mass of molten steel entering the mixing zone is Δm. 新钢液 and M 钢液4 -Δm 钢液 The mass of inclusions entering the molten steel mixing zone is M. 夹杂物2 M 夹杂物3 and Δm 新夹杂物 The mass of slag entering the slag mixing zone is Δm. 新炉渣 and M 炉渣3 -Δm 炉渣 ;

[0017] Based on the reaction process in each reaction zone, write macro processing code in MAC format to process the alloy addition system, steel composition and quality, refractory material composition, slag composition and quality, power supply system, refining slag charging system, and Δm. 碳 Δm 夹杂物 M 夹杂物1-Δm 夹杂物 Δm 耐材→钢液 Δm 耐材→炉渣 Δm 钢液 Δm 炉渣 M 钢液4 Δm 钢液 and M 炉渣3 -Δm 炉渣 Macro-processing encoding is performed, and FactSage is used for simulation calculations to obtain the phase composition and mass of each reaction zone after the reaction.

[0018] Step 3: Repeat step 2 x times, until xΔt is greater than or equal to the total LF refining time t. 总 The calculation stops when the time is right, and the composition and mass M of the molten steel at the end of the LF furnace smelting process are output. 钢液 The composition and quality of inclusions at the end of LF furnace smelting 夹杂物 The composition and quality of slag at the end of LF furnace smelting 炉渣 .

[0019] Preferably, the mass transfer coefficient of the steel is calculated according to Formula 3, and the mass transfer coefficient of the slag components is calculated according to Formula 4:

[0020] k 钢液 =4×10 -6 ε 1.4 H 钢液 Formula 3;

[0021]

[0022] Where ε is the stirring energy, W·t -1 H 钢液 The height of molten steel in the LF refining furnace is in meters (m).

[0023] Preferably, the stirring energy is calculated according to Formula 5:

[0024]

[0025] Where n is the molar gas flow rate, mol·s -1 R is the ideal gas constant, J·mol⁻¹ -1 ·K -1 T represents temperature, K; M represents temperature. 钢液4 The unit is t; P t P0 is the total gas pressure at the bottom of the ladle, in Pa; P0 is the gas pressure at the surface of the melt, in Pa.

[0026] Preferably, the Δm 夹杂物 Calculated according to Formula 6:

[0027] Δm 夹杂物 =r fl ×M夹杂物1 Formula 6;

[0028] Where, r fl The removal rate of inclusions.

[0029] Preferably, the r fl Calculated according to Formula 7:

[0030] r fl =4.2×10 -4 ε 0.2 Formula 7;

[0031] Preferably, the Δm 耐材→钢液 Calculated according to Formula 8:

[0032] Δm 耐材→钢液 =V1A 钢液侧壁面 Formula 8 for Δt;

[0033] Where V1 is the dissolution rate of the refractory material in the molten steel, kg·m -2 ·s -1 A 钢液侧壁面 The area of ​​molten steel in contact with the side wall of the refining furnace, m 2 .

[0034] Preferably, the A 钢液侧壁面 Calculated according to Formula 9:

[0035] A 钢液侧壁面 =2πRH 钢液 Formula 9;

[0036] Where R is the radius of the LF ladle furnace, in meters, and H... 钢液 The height of the molten steel is in meters (m).

[0037] Preferably, the Δm 耐材→炉渣 Calculated according to Formula 10:

[0038] Δm 耐材→炉渣 =V2A 炉渣侧壁面 Δt Formula 10;

[0039] Where V2 is the dissolution rate of the refractory material in the slag, kg·m -2 ·s -1 A 炉渣侧壁面 The area of ​​slag in contact with the side wall of the refining furnace, in m 2 .

[0040] Preferably, the A 炉渣侧壁面 Calculated according to Formula 11:

[0041] A 炉渣侧壁面 =2πRH 炉渣 Formula 11;

[0042] Where R is the radius of the LF ladle furnace, in meters, and H... 炉渣 The thickness of the slag is in meters (m).

[0043] Preferably, the carburization mass Δm of the electrode into the carburizing zone of the molten steel within the time step is calculated according to Formula 12. 碳 ;

[0044]

[0045] Where I is the current through the electrode, kA; R 电极 Δt is the electrode diameter (mm) and Δt is the time step (S).

[0046] Beneficial Effects: The LF refining molten steel composition prediction method provided by this invention requires integration with the relevant parameters and processes of the user's LF refining furnace, offering a customized operating condition simulation method. This method can effectively optimize the smelting process of new steel grades, reduce trial and error, improve production efficiency, lower production costs, and increase the accuracy of molten steel composition prediction, even without sufficient machine learning data. Based on the principles of metallurgical physicochemical reactions, this prediction method comprehensively considers the interactions between elements and phases using the Effective Equilibrium Reaction Zone (EERZ) model, accurately corresponding to the actual LF refining reaction process and predicting the composition of molten steel during LF refining. By delving into the internal reaction mechanisms of each reaction zone, it transcends simple data logic, providing more accurate molten steel composition prediction. This provides insights for understanding and controlling the smelting process. This invention can adapt to sudden data fluctuations in production, providing effective predictions (this method is based on metallurgical principles and closely matches the actual reaction process; even with data fluctuations, the actual reaction always conforms to metallurgical reaction principles). The calculation process and method of this invention correspond to the actual production process, ensuring the accuracy of predictions under different process conditions. This adaptability ensures the method remains effective under dynamic production conditions, guaranteeing the stability of continuous production processes and the consistency of product quality. Furthermore, it helps identify potential production problems, facilitating proactive process adjustments (the model can directly predict the physicochemical reactions that will occur during the LF refining process before smelting, allowing for advance planning of the smelting process), thereby reducing waste and improving efficiency. Attached Figure Description

[0047] Figure 1 A schematic diagram of the prediction model flow of the LF refining molten steel composition prediction method provided by the present invention;

[0048] Figure 2 Screenshot of the interface for inputting component parameters;

[0049] Figure 3 Input the interface diagram for the process specification;

[0050] Figure 4 The interface diagram after inputting component parameters for Example 1;

[0051] Figure 5 The interface diagram after inputting the process regime in Example 1;

[0052] Figure 6 This is an interface diagram after inputting component parameters in Example 2;

[0053] Figure 7 The interface diagram after inputting the process regime in Example 2. Detailed Implementation

[0054] This invention provides a method for predicting the composition of LF refined molten steel, comprising the following steps:

[0055] Step 1: Based on the effective equilibrium reaction zone model, the reactions occurring in the LF refining process are defined and divided into reaction zones; the reaction zones include: electrode carburizing zone, alloy dissolution reaction zone in molten steel, inclusion flotation zone, refining slag dissolution reaction zone in slag, refractory material reaction zone with molten steel, refractory material reaction zone with slag, molten steel reaction zone with slag, molten steel mixing zone, and slag mixing zone;

[0056] Step 2: Determine the composition and mass M of the first molten steel based on the input molten steel composition and mass. 钢液1 The composition and mass M of the first inclusion 夹杂物1 According to the composition and mass M of the first inclusion 夹杂物1 The mass Δm of the inclusions entering the inclusion uplift zone within the time step was calculated. 夹杂物 The mass M of inclusions entering the alloy dissolution reaction zone of the molten steel 夹杂物1 -Δm 夹杂物 ;

[0057] Δm, the carburization mass Δm of the electrode into the carburization zone of the molten steel within the set power supply system, is calculated within the time step. 碳 According to the carburizing quality Δm 碳 The composition and mass of the first molten steel M 钢液1 Determine the composition and mass M of the second molten steel. 钢液2 ;

[0058] Based on the input alloy addition regime and the composition and mass M of the second molten steel. 钢液2 The composition and mass M of the second inclusion in the alloy dissolution reaction zone of the molten steel were calculated respectively. 夹杂物2 The composition and mass M of the third molten steel 钢液3 ;

[0059] Calculate the mass Δm of refractory material participating in the reaction within the reaction zone of refractory material and molten steel during the time step based on the refractory material composition and dissolution rate. 耐材→钢液The mass Δm of refractory material participating in the reaction within the refractory-slag reaction zone. 耐材→炉渣 The composition and mass M of the third inclusion in the reaction zone between the refractory and molten steel were obtained. 夹杂物3 The composition and mass M of the fourth molten steel in the reaction zone between refractory and molten steel. 钢液4 ;

[0060] The composition and mass M of the first slag are determined based on the input slag composition and mass. 炉渣1 Based on the composition and mass M of the first slag 炉渣 1. The established refining slag feeding system and the inclusion floating zone result in the refining slag dissolving in the slag reaction zone, leading to the second slag composition and mass M. 炉渣2 According to the mass Δm of the refractory material participating in the reaction in the reaction zone between the refractory material and the slag. 耐材→炉渣 Second slag composition and mass M 炉渣2 The composition and mass M of the third slag in the reaction zone between the refractory and the slag were obtained. 炉渣3 ;

[0061] The mass Δm of molten steel participating in the reaction in the reaction zone of molten steel and slag within the time step is calculated according to Formula 1. 钢液， The mass Δm of slag participating in the reaction between molten steel and slag in the reaction zone within the time step is calculated according to Formula 2. 炉渣 ;

[0062] Δm 钢液 =k 钢液 A 炉底 ρ 钢液 Formula 1 for Δt

[0063] Δm 炉渣 =k 炉渣 A 炉底 ρ 炉渣 Formula 2 for Δt.

[0064] Where, k 钢液 Let be the mass transfer coefficient of the elements in molten steel, in m·s. -1 ;k 炉渣 Let be the mass transfer coefficient of the slag components, in m·s. -1 A 炉底 Let m be the geometric area of ​​the molten steel surface inside the LF refining furnace. 2 ;ρ 钢液 Density of molten steel, kg·m -3 ;ρ 炉渣 The density of slag is expressed in kg·m³. -3 Δt is the time step, in seconds;

[0065] Within the time step, the mass of molten steel entering the mixing zone is Δm. 新钢液 and M 钢液4 -Δm 钢液The mass of inclusions entering the molten steel mixing zone is M. 夹杂物2 M 夹杂物3 and Δm 新夹杂物 The mass of slag entering the slag mixing zone is Δm. 新炉渣 and M 炉渣3 -Δm 炉渣 ;

[0066] Based on the reaction process in each reaction zone, write macro processing code in MAC format to process the alloy addition system, steel composition and quality, refractory material composition, slag composition and quality, power supply system, refining slag charging system, and Δm. 碳 Δm 夹杂物 M 夹杂物1 -Δm 夹杂物 Δm 耐材→钢液 Δm 耐材→炉渣 Δm 钢液 Δm 炉渣 M 钢液4 -Δm 钢液 and M 炉渣3 -Δm 炉渣 Macro-processing encoding is performed, and FactSage is used for simulation calculations to obtain the phase composition and mass of each reaction zone after the reaction.

[0067] Step 3: Repeat step 2 x times, until xΔt is greater than or equal to the total LF refining time t. 总 The calculation stops when the time is right, and the composition and mass M of the molten steel at the end of the LF furnace smelting process are output. 钢液 The composition and quality of inclusions at the end of LF furnace smelting 夹杂物 The composition and quality of slag at the end of LF furnace smelting 炉渣 .

[0068] The method for predicting the composition of LF refined steel liquid provided by the present invention includes step 1: defining and dividing the reactions that occur in the LF refining process in the form of reaction zones based on the effective equilibrium reaction zone model; the reaction zones include: electrode carburizing zone, alloy dissolution reaction zone in molten steel, inclusion floating zone, refining slag dissolution reaction zone in slag, refractory material reaction zone with molten steel, refractory material reaction zone with slag, molten steel reaction zone with slag, molten steel mixing zone, and slag mixing zone. In the present invention, the basis for dividing the reaction zones is as follows: (1) Electrode carburizing zone: During the LF heating process, the electrode will be worn and enter the molten steel, resulting in an increase in the carbon content of the molten steel; (2) Alloy dissolution reaction zone in molten steel: During the smelting process, it is necessary to add deoxidizing alloy to the LF ladle furnace to deoxidize the molten steel, and add alloy to make the molten steel reach the target composition; the newly added alloy in this area dissolves rapidly, thereby changing the composition of the molten steel; the time of adding alloy refers to the alloy addition system; (3) Inclusion floating zone: Inclusions generated during the smelting process, in Under the action of bottom blowing and the buoyancy of the inclusions themselves, they will float from the molten steel into the slag; the inclusions dispersed in the steel in this area float at a constant rate; (4) Refining slag dissolves in the slag reaction zone: During the smelting process, refining slag needs to be added to the LF ladle furnace for slag formation; the newly added refining slag in this area gradually dissolves under heat, thereby changing the composition of the slag; the timing of adding refining slag refers to the refining slag feeding system; (5) Refractories and molten steel reaction zone: In actual production, the molten steel will wash over the refractory, causing the refractory to slowly dissolve into the molten steel. This affects the composition of the molten steel; in this region, the refractory material dissolves into the molten steel at a constant rate; (6) Refractory material and slag reaction zone: In actual production, the slag washes and erodes the refractory material, causing the refractory material to gradually dissolve into the slag, thus affecting the composition of the slag; in this region, the refractory material dissolves into the slag at a constant rate; (7) Molten steel and slag reaction zone: LF refining mainly desulfurizes through the interfacial reaction between the slag and the molten steel. Because the slag and the molten steel are immiscible and the slag is less dense than the molten steel, it floats on the surface of the molten steel. The reaction between the slag and the molten steel mainly occurs at the slag-steel interface; (8) (9) Steel molten metal mixing zone: Since the composition of both steel molten metal and slag changes after the reaction, the composition of steel molten metal and slag on both sides of the interface after the reaction is different from the composition of the primary phase that did not participate in the interface reaction. Therefore, diffusion and mixing will occur between the reacted steel molten metal and the unreacted steel molten metal, and between the reacted slag and the unreacted slag. In actual production, the bottom-blown gas in the LF ladle furnace is used to stir the steel molten metal in order to make the composition of the steel molten metal uniform. This mixing zone is considered to be updated once after a time step ends, and the steel molten metal generated in each reaction zone is used as the initial value for the calculation of the next time step.

[0069] The LF refining molten steel composition prediction method provided by this invention includes step 2: determining the first molten steel composition and mass M based on the input molten steel composition and mass. 钢液1 The composition and mass M of the first inclusion 夹杂物1 According to the composition and mass M of the first inclusion 夹杂物1 The mass Δm of the inclusions entering the inclusion uplift zone within the time step is obtained. 夹杂物 The mass M of inclusions entering the alloy dissolution reaction zone of the molten steel 夹杂物1 -Δm 夹杂物 In this invention, the Δm 夹杂物 The preferred mass of removed inclusions is calculated according to Formula 6:

[0070] Δm 夹杂物 =r fl ×M 夹杂物1 Formula 6;

[0071] Where, r fl The removal rate of inclusions.

[0072] In this invention, the r fl The preferred result is calculated according to Formula 7:

[0073] r fl =4.2×10 -4 ε 0.2 Formula 7;

[0074] Where ε is the stirring energy, W·t -1 The preferred result is calculated according to formula 5:

[0075]

[0076] Where n is the molar gas flow rate, mol·s -1 R is the ideal gas constant, J·mol⁻¹ -1 ·K -1 T represents the temperature of the molten steel, in K; M represents the temperature of the molten steel. 钢液4 The unit is t; P t P0 is the total gas pressure at the bottom of the ladle, Pa; P0 is the gas pressure at the surface of the melt, Pa. In this invention, the stirring energy ε is preferably determined by the bottom blowing flow rate.

[0077] This invention calculates the carburization quality Δm of the electrode into the carburization zone of the molten steel within a set power supply system within a time step. 碳 According to the carburizing quality Δm 碳 The composition and mass of the first molten steel M 钢液1 Determine the composition and mass M of the second molten steel. 钢液2 In this invention, the Δm 碳The preferred result is calculated according to formula 12:

[0078]

[0079] Where I is the current through the electrode, kA; R 电极 Δt is the electrode diameter (mm) and Δt is the time step (S).

[0080] This invention is based on the input alloy addition regime and the composition and mass M of the second molten steel. 钢液2 The composition and mass M of the second inclusion in the alloy dissolution reaction zone of the molten steel were obtained respectively. 夹杂物2 The composition and mass M of the third molten steel 钢液3 .

[0081] This invention calculates the mass Δm of refractory material participating in the reaction between the refractory material and molten steel within the reaction zone over a time step, based on the refractory material composition and dissolution rate. 耐材→钢液 The mass Δm of refractory material participating in the reaction within the refractory-slag reaction zone. 耐材→炉渣 The composition and mass M of the third inclusion in the reaction zone between the refractory and molten steel were obtained. 夹杂物3 The composition and mass M of the fourth molten steel in the reaction zone between refractory and molten steel. 钢液4 In this invention, the Δm 耐材→钢液 The preferred result is calculated according to Formula 8:

[0082] Δm 耐材→钢液 =V1A 钢液侧壁面 Formula 8 for Δt;

[0083] Where V1 is the rate at which the refractory dissolves in the molten steel (kg·m). -2 ·s -1 A 钢液侧壁面 The area of ​​molten steel in contact with the side wall of the refining furnace, m 2 In this invention, V1 is preferably 0.0005 kg·m -2 ·s -1 .

[0084] In this invention, A 钢液侧壁面 The preferred result is calculated according to Formula 9:

[0085] A 钢液侧壁面 =2πRH 钢液 Formula 9;

[0086] Where R is the radius of the LF ladle furnace, in meters; H 钢液 The height of the molten steel is in meters (m).

[0087] In this invention, the Δm 耐材→炉渣 Calculated according to Formula 10:

[0088] Δm 耐材→炉渣=V2A 炉渣侧壁面 Formula 10 for Δt:

[0089] Wherein, V2 is the dissolution rate of the refractory material in the slag (kg·m). -2 ·s -1 A 炉渣侧壁面 V2 is the area of ​​slag in contact with the side wall of the refining furnace. In this invention, V2 is preferably 0.001 kg·m -2 ·s -1 .

[0090] In this invention, A 炉渣侧壁面 Calculated according to Formula 11:

[0091] A 炉渣侧壁面 =2πRH 炉渣 Formula 11:

[0092] Where R is the radius of the LF ladle furnace, in meters; H 炉渣 The thickness of the slag is in meters (m).

[0093] This invention determines the composition and mass M of the first slag based on the input slag composition and mass. 炉渣1 Based on the composition and mass M of the first slag 炉渣1 The established refining slag feeding system and the inclusion floating zone allow the inclusions to dissolve in the slag reaction zone, resulting in the second slag composition and mass M. 炉渣2 According to the mass Δm of the refractory material participating in the reaction in the reaction zone between the refractory material and the slag. 耐材→炉渣 Second slag composition and mass M 炉渣2 The composition and mass M of the third slag in the reaction zone between the refractory and the slag were obtained. 炉渣3 .

[0094] This invention calculates the mass Δm of molten steel entering the reaction zone between molten steel and slag within the time step according to Formula 1. 钢液 According to Formula 2, the mass Δm of slag entering the reaction zone between molten steel and slag within the time step is calculated. 炉渣 .

[0095] Δm 钢液 =k 钢液 A 炉底 ρ 钢液 Formula 1 for Δt

[0096] Δm 炉渣 =k 炉渣 A 炉底 ρ 炉渣 Formula 2 for Δt.

[0097] Where, k 钢液 Let be the mass transfer coefficient of the elements in molten steel, in m·s. -1 ;k炉渣 Let be the mass transfer coefficient of the slag components, in m·s. -1 A 炉底 Let m be the geometric area of ​​the molten steel surface inside the LF refining furnace. 2 ;ρ 钢液 Density of molten steel, kg·m -3 ;ρ 炉渣 The density of slag is expressed in kg·m³. -3 Δt is the time step, in seconds.

[0098] In this invention, the time step is the duration of the simulated loop calculation, and the time step is manually divided according to the total LF refining time; the maximum value of the time step Δt is preferably 1 / 10 of the total time. In this invention, Δt is preferably 1 min.

[0099] The present invention preferably calculates the mass transfer coefficient of steel according to Formula 3:

[0100] k 钢液 =4×10 -6 ε 1.4 H 钢液 Formula 3;

[0101] Where ε is the stirring energy, W·t -1 H 钢液 The height of molten steel in the LF refining furnace is in meters (m).

[0102] The present invention preferably calculates the stirring energy according to Formula 5:

[0103]

[0104] Where n is the molar gas flow rate, mol·s -1 R is the ideal gas constant, J·mol⁻¹ -1 ·K -1 T represents the temperature of the molten steel, in K; M represents the temperature of the molten steel. 钢液4 The unit is t; P t P0 is the total gas pressure at the bottom of the ladle, in Pa; P0 is the gas pressure at the surface of the melt, in Pa.

[0105] The present invention preferably calculates the mass transfer coefficient of the slag according to Formula 4:

[0106]

[0107] In this invention, A 炉底 The preferred result is calculated according to formula 13:

[0108] A 炉底 =πR 2 Formula 13;

[0109] Where R is the radius of the LF ladle furnace.

[0110] Within the time step, the mass of molten steel entering the mixing zone is Δm. 新钢液 and M 钢液4 -Δm 钢液 The mass of inclusions entering the molten steel mixing zone is M. 夹杂物2 M 夹杂物3 and Δm 新夹杂物 The mass of slag entering the slag mixing zone is Δm. 新炉渣 and M 炉渣3 -Δm 炉渣 ;

[0111] This invention uses macro processing code in MAC format based on the reaction logic of each reaction zone to process alloy addition procedures, molten steel composition and mass, refractory material composition, slag composition and mass, power supply procedures, refining slag charging procedures, and Δm. 夹杂物 M 夹杂物1 -Δm 夹杂物 Δm 耐材→钢液 Δm 耐材→炉渣 Δm 钢液 Δm 炉渣 M 钢液4 -Δm 钢液 and M 炉渣3 -Δm 炉渣 Macro-processing encoding was performed, and FactSage was used for simulation calculations to obtain the phase composition and mass of each reaction zone after the reaction.

[0112] The LF refining molten steel composition prediction method provided by this invention includes step 3: repeating step 2 x times, when xΔt is greater than or equal to the total LF refining time t. 总 The calculation stops at the specified time, and the composition and mass M of the molten steel at the end of the LF refining and smelting process are output. 钢液 The composition and quality of inclusions at the end of LF furnace smelting 夹杂物 The composition and quality of slag at the end of LF furnace smelting 炉渣 .

[0113] The flowchart of the prediction model for the LF refining molten steel composition prediction method provided by this invention is shown below. Figure 1 As shown, specifically: first, the relevant parameters of molten steel composition and mass, slag composition and mass, alloy addition system, power supply system, refining slag feeding system, refractory material composition, time step, and total LF refining time are input into the prediction model. The model then calculates and updates the molten steel composition and mass (M... 钢液1 ), update the composition and quality of inclusions (M) 夹杂物1 ), update slag composition and quality (M) 炉渣1 Within the carburizing zone of the electrode into the molten steel, the electrode itself is consumed during the heating process and enters the molten steel through carburizing, with a carburizing amount of Δm. 碳These carbons react with molten steel (M) 钢液1 Perform a thermodynamic equilibrium calculation, and update the composition and mass (M) of the molten steel upon completion. 钢液2 ); In the inclusion floating reaction zone, consider some inclusions (Δm) 夹杂物 ) floats into the slag (M 炉渣1 In the alloy dissolution reaction zone within the molten steel, the alloy and molten steel (M) react. 钢液2 ), residual inclusions (M) 夹杂物1 -Δm 夹杂物 Thermodynamic equilibrium calculations were performed on the refining slag and slag (M) in the reaction zone where the refining slag dissolved in the slag. 炉渣1 ), inclusions that float into the slag (Δm) 夹杂物 Thermodynamic equilibrium calculations of the three components; when the equilibrium calculations of the alloy dissolution reaction zone in the molten steel and the dissolution of refining slag in the slag reaction zone are completed, the inclusion composition and mass (M) are updated. 夹杂物2 ), Steel molten composition and quality (M 钢液3 ), Slag composition and quality (M) 炉渣2 Within the reaction zone between the refractory material and the molten steel, considering the dissolution reaction of the refractory material in the molten steel, the mass of the refractory material entering the molten steel is Δm. 耐材→钢液 Then the refractory material in the reaction zone (Δm) is processed. 耐材→钢液 ) and molten steel (M 钢液3 Thermodynamic equilibrium calculations were performed to update the composition and mass of the molten steel (M). 钢液4 ) and inclusion composition and quality (M 夹杂物3 Within the reaction zone between the refractory and slag, the dissolution reaction of the refractory in the slag is considered, and the mass of the refractory entering the slag is Δm. 耐材→炉渣 Then, the refractory material in the reaction zone (Δm) is processed. 耐材→炉渣 ) and slag (M 炉渣2 Thermodynamic equilibrium calculations were performed to update the slag composition and mass (M). 炉渣3 ); In the reaction zone between molten steel and slag, only a portion of the molten steel (Δm) 钢液 ) and some slag (Δm 炉渣 The reaction occurs only within the time step of the molten steel participating in the reaction zone (Δm). 钢液 ) and slag (Δm 炉渣 Perform thermodynamic equilibrium calculations, and then update the composition and mass (Δm) of the molten steel after the reaction. 新钢液 ), Slag composition and quality (Δm) 新炉渣 ), inclusion composition and mass (Δm) 新夹杂物 Within the steel molten mixing zone, the portion of molten steel (M) that did not participate in the steel slag reaction was considered. 钢液4 -Δm 钢液 ), inclusions generated in the alloy dissolution reaction zone of molten steel (M) 夹杂物2 ), inclusions generated in the reaction zone between refractory and molten steel (M)夹杂物3 ), molten steel after the reaction of steel slag (Δm) 新钢液 Inclusions (Δm) formed after the reaction of ) and steel slag 新夹杂物 The five components are mixed thoroughly, and then the composition and quality of the molten steel are updated (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 Determine whether the total runtime t at this point satisfies t < t 总 If it is less than the total time, the calculation continues, based on the composition and mass of the molten steel at that time (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 This is used as the input value for the next iteration of the calculation, and so on, until t ≥ t is satisfied. 总 At that time, the final composition and mass of the molten steel are output (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 Within the slag mixing zone, slag that did not participate in the slag-metal reaction (M) was considered. 炉渣3 -Δm 炉渣 The slag (Δm) generated after the reaction of ) and steel slag 新炉渣 The two are mixed thoroughly, and then the slag composition and quality are updated (M). 炉渣4 Determine whether the total runtime t at this point satisfies t < t 总 If the time is less than the total time, the calculation continues, using the slag composition and mass at that time as the input value for the next cycle. This process is repeated until t ≥ t0. 总 At that time, the final slag composition and mass (M) are output. 炉渣4 ).

[0114] Figure 2 and Figure 3 These are the input interfaces for component parameters and process regimes, respectively.

[0115] This invention utilizes an effective equilibrium reaction zone model to define and divide the effective reaction zones in the LF refining process. Based on these divided reaction zones, relevant parameters are determined, such as reaction amount, inclusion flotation rate, and refractory dissolution rate. Using FactSage thermodynamic calculation software and running macro processing code, the composition of molten steel in the LF refining process can be predicted. Since the prediction method provided by this invention does not require training with machine learning data, it allows for process design and optimization with limited data support, reducing trial and error, improving production efficiency, and ultimately helping to reduce production costs and improve molten steel quality. The composition prediction provided by this invention is based on the principle of multiphase physicochemical reactions, comprehensively considering the interactions between various phases in the LF refining process, accurately corresponding to the actual reaction process in LF refining, and can accurately predict changes in the composition of molten steel. This simulation method, which delves into the internal mechanisms of the reaction, provides more accurate predictions of molten steel composition. The prediction method of this invention can adapt to sudden data fluctuations in actual production, ensuring the accuracy of the prediction. It remains effective under dynamic and unpredictable production conditions, ensuring the stability of continuous production processes and the consistency of product quality.

[0116] To further illustrate the present invention, the technical solutions provided by the present invention will be described in detail below with reference to the embodiments, but they should not be construed as limiting the scope of protection of the present invention.

[0117] Example 1

[0118] Taking the production process of 45# steel smelting in a 220t LF refining furnace of a steel plant as an example, the composition of LF refining molten steel is predicted in the following steps:

[0119] Collect relevant parameters, mainly including: furnace dimensions of the 220t LF refining furnace, target steel composition, initial composition and weight of molten steel, initial composition and weight of slag, power supply system, refining slag charging system, alloy addition system, furnace lining refractory composition, molten steel temperature, gas flow rate, total gas pressure at the bottom of the ladle and gas pressure at the surface of the molten steel, and total LF refining time. Input these parameters into the composition parameter input interface and the process system input interface. Specific parameters to be input are shown below. Figure 4 and Figure 5 As shown.

[0120] The composition and mass of the molten steel were updated after calculation. 钢液1 ), update the composition and quality of inclusions (M) 夹杂物1 ), update slag composition and quality (M) 炉渣1 Within the carburizing zone of the electrode into the molten steel, the electrode itself is consumed during the heating process and enters the molten steel through carburizing, with a carburizing amount of Δm. 碳 These carbons react with molten steel (M) 钢液1 Perform a thermodynamic equilibrium calculation, and update the composition and mass (M) of the molten steel upon completion.钢液2 ); In the inclusion floating reaction zone, consider some inclusions (Δm) 夹杂物 ) floats into the slag (M 炉渣1 In the alloy dissolution reaction zone within the molten steel, the alloy and molten steel (M) react. 钢液2 ), residual inclusions (M) 夹杂物1 -Δm 夹杂物 Thermodynamic equilibrium calculations were performed on the refining slag and slag (M) in the reaction zone where the refining slag dissolved in the slag. 炉渣1 ), inclusions that float into the slag (Δm) 夹杂物 Thermodynamic equilibrium calculations of the three components; when the equilibrium calculations of the alloy dissolution reaction zone in the molten steel and the dissolution of refining slag in the slag reaction zone are completed, the inclusion composition and mass (M) are updated. 夹杂物2 ), Steel molten composition and quality (M 钢液3 ), Slag composition and quality (M) 炉渣2 Within the reaction zone between the refractory material and the molten steel, considering the dissolution reaction of the refractory material in the molten steel, the mass of the refractory material entering the molten steel is Δm. 耐材→钢液 Then the refractory material in the reaction zone (Δm) is processed. 耐材→钢液 ) and molten steel (M 钢液3 Thermodynamic equilibrium calculations were performed to update the composition and mass of the molten steel (M). 钢液4 ) and inclusion composition and quality (M 夹杂物3 Within the reaction zone between the refractory and slag, the dissolution reaction of the refractory in the slag is considered, and the mass of the refractory entering the slag is Δm. 耐材→炉渣, Then the refractory material in the reaction zone (Δm) is processed. 耐材→炉渣 ) and slag (M 炉渣2 Thermodynamic equilibrium calculations were performed to update the slag composition and mass (M). 炉渣3 ); In the reaction zone between molten steel and slag, only a portion of the molten steel (Δm) 钢液 ) and some slag (Δm 炉渣 The reaction occurs only within the time step of the molten steel participating in the reaction zone (Δm). 钢液 ) and slag (Δm 炉渣 Perform thermodynamic equilibrium calculations, and then update the composition and mass (Δm) of the molten steel after the reaction. 新钢液 ), Slag composition and quality (Δm) 新炉渣 ), inclusion composition and mass (Δm) 新夹杂物 Within the steel molten mixing zone, the portion of molten steel (M) that did not participate in the steel slag reaction was considered. 钢液4 -Δm 钢液 ), inclusions generated in the alloy dissolution reaction zone of molten steel (M) 夹杂物2 ), inclusions generated in the reaction zone between refractory and molten steel (M) 夹杂物3 ), molten steel after the reaction of steel slag (Δm) 新钢液 Inclusions (Δm) formed after the reaction of ) and steel slag新夹杂物 The five components are mixed thoroughly, and then the composition and quality of the molten steel are updated (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 Determine whether the total runtime t at this point satisfies t < t 总 If it is less than the total time, the calculation continues, based on the composition and mass of the molten steel at that time (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 This is used as the input value for the next iteration of the calculation, and so on, until t ≥ t is satisfied. 总 At that time, the final composition and mass of the molten steel are output (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 Within the slag mixing zone, slag that did not participate in the slag-metal reaction (M) was considered. 炉渣3 -Δm 炉渣 The slag (Δm) generated after the reaction of ) and steel slag 新炉渣 The two are mixed thoroughly, and then the slag composition and quality are updated (M). 炉渣4 Repeating the above process 30 times results in a total runtime of 30 minutes, which equals t. 总 At 30 min, output the final composition and mass (M) of the molten steel. 钢液5 The steel composition predicted by this model is in good agreement with the actual production data, as shown in Table 1.

[0121] Table 1 Comparison of steel composition predictions in Example 1

[0122] Fe 98.6008％ 98.6040％ 0.0032％ C 0.4458％ 0.4423％ -0.0035％ Si 0.2180％ 0.2194％ 0.0014％ Mn 0.6790％ 0.6781％ -0.0009％ P 0.0172％ 0.0171％ -0.0001％ S 0.0027％ 0.0023％ -0.0004％ O 0.0083％ 0.0095％ 0.0012％ Al 0.0261％ 0.0255％ -0.0006％ Ni 0.0021％ 0.0018％ -0.0003％

[0123] Example 2

[0124] Taking the production process of industrial pure iron using a double 120t LF refining furnace in a steel plant as an example, the composition of the LF refining molten steel is predicted in the following steps:

[0125] Collect relevant parameters, including: furnace dimensions of the plant's 120t LF refining furnace, target steel composition, initial composition and weight of molten steel, initial composition and weight of slag, power supply system, refining slag charging system, alloy addition system, furnace lining refractory composition, molten steel temperature, gas flow rate, total gas pressure at the bottom of the ladle and gas pressure at the surface of the molten steel, and total LF refining time. Input these parameters into the composition parameter input interface and the process system input interface. Specific parameters to be input are shown below. Figure 6 and Figure 7 As shown.

[0126] The composition and mass of the molten steel were updated after calculation. 钢液1 ), update the composition and quality of inclusions (M) 夹杂物1 ), update slag composition and quality (M) 炉渣1In the carburizing zone of the electrode into the molten steel, the electrode itself is lost during the heating process and enters the molten steel through carburizing, with a carburizing amount of Δm. 碳 These carbons react with molten steel (M) 钢液1 Perform a thermodynamic equilibrium calculation, and update the composition and mass (M) of the molten steel upon completion. 钢液2 ); In the inclusion floating reaction zone, consider some inclusions (Δm) 夹杂物 ) floats into the slag (M 炉渣1 In the alloy dissolution reaction zone within the molten steel, the alloy and molten steel (M) react. 钢液2 ), residual inclusions (M) 夹杂物1 -Δm 夹杂物 Thermodynamic equilibrium calculations were performed on the refining slag and slag (M) in the reaction zone where the refining slag dissolved in the slag. 炉渣1 ), inclusions that float into the slag (Δm) 夹杂物 Thermodynamic equilibrium calculations of the three components; when the equilibrium calculations of the alloy dissolution reaction zone in the molten steel and the dissolution of refining slag in the slag reaction zone are completed, the inclusion composition and mass (M) are updated. 夹杂物2 ), Steel molten composition and quality (M 钢液3 ), Slag composition and quality (M) 炉渣2 Within the reaction zone between the refractory material and the molten steel, considering the dissolution reaction of the refractory material in the molten steel, the mass of the refractory material entering the molten steel is Δm. 耐材→钢液 Then the refractory material in the reaction zone (Δm) is processed. 耐材→钢液 ) and molten steel (M 钢液3 Thermodynamic equilibrium calculations were performed to update the composition and mass of the molten steel (M). 钢液4 ) and inclusion composition and quality (M 夹杂物3 Within the reaction zone between the refractory and slag, the dissolution reaction of the refractory in the slag is considered, and the mass of the refractory entering the slag is Δm. 耐材→炉渣 Then the refractory material in the reaction zone (Δm) is processed. 耐材→炉渣 ) and slag (M 炉渣2 Thermodynamic equilibrium calculations were performed to update the slag composition and mass (M). 炉渣3 ); In the reaction zone between molten steel and slag, only a portion of the molten steel (Δm) 钢液 ) and some slag (Δm 炉渣 The reaction occurs only within the time step of the molten steel participating in the reaction zone (Δm). 钢液 ) and slag (Δm 炉渣 Perform thermodynamic equilibrium calculations, and then update the composition and mass (Δm) of the molten steel after the reaction. 新钢液 ), Slag composition and quality (Δm) 新炉渣 ), inclusion composition and mass (Δm) 新夹杂物 Within the steel molten mixing zone, the portion of molten steel (M) that did not participate in the steel slag reaction was considered. 钢液4 -Δm 钢液), inclusions generated in the alloy dissolution reaction zone of molten steel (M) 夹杂物2 ), inclusions generated in the reaction zone between refractory and molten steel (M) 夹杂物3 ), molten steel after the reaction of steel slag (Δm) 新钢液 Inclusions (Δm) formed after the reaction of ) and steel slag 新夹杂物 The five components are mixed thoroughly, and then the composition and quality of the molten steel are updated (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 Determine whether the total runtime t at this point satisfies t < t 总 If it is less than the total time, the calculation continues, based on the composition and mass of the molten steel at that time (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 This is used as the input value for the next iteration of the calculation, and so on, until t ≥ t is satisfied. 总 At that time, the final composition and mass of the molten steel are output (M). 钢液5 ), inclusion composition and quality (M) 夹杂物4 Within the slag mixing zone, slag that did not participate in the slag-metal reaction (M) was considered. 炉渣3 -Δm 炉渣 The slag (Δm) generated after the reaction of ) and steel slag 新炉渣 The two are mixed thoroughly, and then the slag composition and quality are updated (M). 炉渣4 After repeating the above process 125 times, the total running time is 125 minutes, which equals t. 总 At 125 min, output the final composition and mass (M) of the molten steel. 钢液5 The steel composition predicted by this model is in good agreement with the actual production data, as shown in Table 2.

[0127] Table 2 Comparison of Steel Molten Composition Prediction in Example 2

[0128] Fe 99.8406％ 99.8399％ -0.0007％ C 0.0585％ 0.0572％ -0.0013％ Si 0.0560％ 0.0568％ 0.0008％ Mn 0.0230％ 0.0227％ -0.0003％ P 0.0019％ 0.0023％ 0.0004％ S 0.0010％ 0.0014％ 0.0004％ O 0.0040％ 0.0035％ -0.0005％ Al 0.0150％ 0.0162％ 0.0012％

[0129] Although the above embodiments have provided a detailed description of the present invention, they are only some embodiments of the present invention, and not all embodiments. People can obtain other embodiments based on these embodiments without creative effort, and these embodiments all fall within the protection scope of the present invention.

Claims

1. A method for predicting the composition of LF refined molten steel, characterized in that, Includes the following steps: Step 1: Based on the effective equilibrium reaction zone model, the reactions occurring in the LF refining process are defined and divided into reaction zones; the reaction zones include: electrode carburizing zone, alloy dissolution reaction zone in molten steel, inclusion flotation zone, refining slag dissolution reaction zone in slag, refractory material reaction zone with molten steel, refractory material reaction zone with slag, molten steel reaction zone with slag, molten steel mixing zone, and slag mixing zone; Step 2: Determine the composition and mass of the first molten steel based on the input molten steel composition and mass. and the composition and quality of the first inclusion Based on the composition and mass of the first inclusion The mass of inclusions entering the inclusion uplift zone within the time step is obtained. and the mass of inclusions entering the alloy dissolution reaction zone of the molten steel ; The carburization quality of the electrode into the carburization zone of the molten steel is calculated within the time step based on the set power supply system. According to the carburizing quality The composition and quality of the first molten steel Determine the composition and quality of the second molten steel. ; Based on the input alloy addition regime and the composition and quality of the second molten steel. The composition and mass of the second inclusion in the alloy dissolution reaction zone of the molten steel were obtained respectively. The composition and quality of the third molten steel ; The mass of refractory material participating in the reaction within the reaction zone between the refractory material and molten steel was calculated based on the refractory material composition and dissolution rate within each time step. The quality of refractory materials participating in the reaction within the refractory-slag reaction zone. The composition and mass of the third inclusion in the reaction zone between the refractory and molten steel were obtained. The composition and mass of the fourth molten steel in the reaction zone between refractory materials and molten steel. ; The composition and mass of the first batch of slag are determined based on the input slag composition and mass. Based on the composition and mass of the first slag The established refining slag feeding system and the inclusion floating zone allow the inclusions to dissolve in the slag reaction zone, resulting in the second slag composition and quality. Based on the mass of the refractory material participating in the reaction within the refractory-slag reaction zone. Composition and quality of the second furnace slag The composition and quality of the third slag in the reaction zone between the refractory and the slag were obtained. ; The mass of molten steel participating in the reaction in the reaction zone of molten steel and slag within the time step is calculated according to Formula 1. According to Formula 2, the mass of slag participating in the reaction in the reaction zone of molten steel and slag within the time step is calculated. ; Official 1, Official 2, in, Let be the mass transfer coefficient of the elements in molten steel, in m·s. -1 ; Let be the mass transfer coefficient of the slag components, in m·s. -1 ; Let m be the geometric area of ​​the molten steel surface inside the LF refining furnace. 2 ; Density of molten steel, kg·m -3 ; The density of slag is expressed in kg·m³. -3 ; Let be the time step, in seconds; Within the time step, the mass of molten steel entering the molten steel mixing zone is: and The mass of inclusions entering the molten steel mixing zone is , and The mass of slag entering the slag mixing zone is and ; Based on the reaction process in each reaction zone, write macro processing code in MAC format to process alloy addition procedures, molten steel composition and quality, refractory material composition, slag composition and quality, power supply procedures, and refining slag charging procedures. , , , , , , , and Macro-processing encoding is performed, and FactSage is used for simulation calculations to obtain the phase composition and mass of each reaction zone after the reaction. Step 3: Repeat step 2 x times, until xΔt is greater than or equal to the total LF refining time t. 总 The calculation stops when the time is right, and the composition and mass of the molten steel at the end of the LF furnace smelting process are output. The composition and quality of inclusions at the end of LF furnace smelting The composition and quality of slag at the end of LF furnace smelting .

2. The method for predicting the composition of LF refined molten steel according to claim 1, characterized in that, The mass transfer coefficient of steel is calculated using Formula 3, and the mass transfer coefficient of the slag components is calculated using Formula 4. Official 3; Official 4; in, For stirring energy, W·t -1 ; The height of molten steel in the LF refining furnace is in meters (m).

3. The method for predicting the composition of LF refined molten steel according to claim 2, characterized in that, Calculate the stirring energy according to Formula 5: Official 5; in, The molar gas flow rate is expressed in mol·s⁻¹. -1 ; Let J be the ideal gas constant. -1 ·K -1 ; Temperature, K; The unit is t; The total gas pressure at the bottom of the ladle, in Pa; The pressure of the gas at the surface of the melt is Pa.

4. The method for predicting the composition of LF refined molten steel according to claim 1, characterized in that, The Calculated according to Formula 6: Official 6; in, The removal rate of inclusions.

5. The method for predicting the composition of LF refined molten steel according to claim 4, characterized in that, The Calculated according to Formula 7: Official 7; in, This is for stirring energy.

6. The method for predicting the composition of LF refined molten steel according to claim 1, characterized in that, The Calculated according to Formula 8: Official 8; in, The dissolution rate of refractory material in molten steel, expressed in kg·m³. -2 ·s -1 , The area of ​​molten steel in contact with the side wall of the refining furnace, m 2 .

7. The method for predicting the composition of LF refined steel liquid according to claim 6, characterized in that, The Calculated according to Formula 9: Official 9; in, Let LF be the radius of the ladle furnace, in meters. The height of the molten steel is in meters (m).

8. The method for predicting the composition of LF refined molten steel according to claim 1, characterized in that, The Calculated according to Formula 10: Official 10; in, The dissolution rate of refractory material in slag, expressed in kg·m³. -2 ·s -1 , The area of ​​slag in contact with the side wall of the refining furnace, in m 2 .

9. The method for predicting the composition of LF refined molten steel according to claim 8, characterized in that, The Calculated according to Formula 11: Official 11; in, Let LF be the radius of the ladle furnace, in meters. The thickness of the slag is in meters (m).

10. The method for predicting the composition of LF refined molten steel according to claim 1, characterized in that, The carburization mass of the electrode into the carburization zone of the molten steel within the time step is calculated according to Formula 12. ; Official 12; in, The current passing through the electrode is kA; Electrode diameter, mm Let s be the time step.

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