Method and device for high efficiency blowing of a converter
By simulating the circulation of molten steel and optimizing oxygen lance control, the problem of poor slag oxidation control in converter steelmaking was solved, achieving an efficient and economical blowing process, improving metal yield and production efficiency, and reducing energy consumption and costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG IRON & STEEL CO LTD
- Filing Date
- 2023-11-22
- Publication Date
- 2026-05-19
AI Technical Summary
In the converter steelmaking process, existing technologies are unable to effectively control the oxidizing properties of slag, resulting in splashing, increased metal loss, severe furnace lining erosion, and an unstable blowing process, making it difficult to achieve economical and efficient steel production.
By establishing a converter molten pool blowing process model, simulating the steel circulation flow speed and trajectory, obtaining the optimal oxygen lance control lance height and bottom blowing flow rate, and combining linear regression analysis and self-learning, optimizing the timing and batch of charging, a high-efficiency blowing model is constructed to achieve precise control of the blowing process.
It improved metal yield, reduced energy consumption in the steelmaking process, increased production efficiency, achieved economical and efficient converter blowing, and reduced production costs.
Smart Images
Figure CN117385120B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method and apparatus for high-efficiency converter blowing, belonging to the field of converter steelmaking technology. Background Technology
[0002] The oxygen top-blown converter steelmaking method involves blowing high-pressure oxygen directly into the molten pool from the top using a water-cooled oxygen lance that extends vertically into the furnace from the furnace opening. This oxidizes and removes elements such as carbon, silicon, manganese, and phosphorus from the molten iron, and utilizes the physical heat of the molten iron and the chemical heat released by the oxidation of the elements to obtain the high temperature required for smelting. It is a steelmaking method that does not require an external heat source. Top-bottom combined blowing involves blowing an appropriate amount of gas (nitrogen or argon) from the bottom while blowing from the top to increase the stirring of the molten metal pool and slag and control the partial pressure of CO in the gas phase of the molten pool. This overcomes the weakness of insufficient stirring capacity of the top-blown oxygen flow, bringing the reaction in the furnace closer to equilibrium and reducing iron loss. At the same time, it retains the advantages of the top-blown method, which makes it easy to control the slag-forming process: (1) It significantly reduces the oxygen content in the molten steel and the TFe content in the slag. Because the combined blowing process strengthens the stirring of the molten pool and promotes the reaction at the steel-slag interface, the reaction is closer to the equilibrium state, thus significantly reducing the excess oxygen content in the molten steel and slag. (2) It increases the residual manganese content in the molten steel at the end of the blowing process. The decrease in TFe content in the slag increases the residual manganese content in the molten steel, thus reducing the consumption of ferroalloys. (3) Improved dephosphorization and desulfurization efficiency. Due to the near-equilibrium state of the reaction, the distribution coefficients of phosphorus and sulfur are relatively high, and the decrease in TFe content in the slag significantly improves the desulfurization conditions. (4) Stable blowing reduces splashing. The combined blowing process combines the advantages of the fast slag formation rate of the top blowing process and the stable blowing of the bottom blowing process. The blowing is stable, splashing is reduced, the controllability of the blowing is improved, and the oxygen supply intensity is increased. (5) More suitable for blowing low-carbon steel grades.
[0003] The entire converter smelting process involves the melting, slagging, adsorption and purification, oxidation, and phase transformation of solid waste during oxygen blowing. After determining a suitable oxygen supply process, the oxygen lance position and oxygen flow rate need to be continuously adjusted during converter smelting. Adjusting the oxygen lance position controls oxygen blowing for decarburization, ensuring a uniform decarburization reaction. Properly controlling the lance position guarantees the smooth progress of the carbon-oxygen reaction. Oxygen lance position control must consider not only the characteristics of the decarburization reaction at each smelting stage but also the needs of slagging, desulfurization, and dephosphorization at each stage, as well as various influencing factors such as converter bottom blowing.
[0004] In the converter blowing process, the energy of O2 is available. This availability is achieved by passing a certain flow rate of O2 through a supersonic Laval nozzle. As O2 flows out of the Laval nozzle, it diffuses around it, forming a "free gas jet." A key characteristic of the free gas jet is its momentum flow rate, which is converted into force upon impact with the liquid and permeates into it. The momentum flow rate within the jet is conserved, a crucial property that depends on upstream variables such as pressure, the number of nozzles, and their diameter. Due to entrainment from the surrounding environment, the axial velocity of the free gas jet decreases with increasing downstream distance from the nozzle during blowing. As blowing continues, the environment surrounding the free gas jet changes from carbon monoxide (CO) to molten slag. For most of the time, the jet is submerged in molten slag. The environment within the converter is dynamic. The velocity of the free gas jet depends on upstream pressure, downstream axial distance, and the surrounding environment. Specifically, in practical operation, this translates to the impact area and depth of the oxygen stream. During the blowing process, the reactions and mixing within the converter molten pool are intense. Not only does O2 react with dissolved Si, dissolved Mn, and Fe itself to form liquid slag containing FeO, but O2 also reacts with dissolved C, releasing CO gas, thus decarburizing the iron. In steelmaking, the oxidation pathway for elements like C and Si involves blowing O2 into the molten iron, causing its concentration in the converter molten pool to exceed the allowable equilibrium level for specific impurity elements. CO2 acts as an oxidizing agent at steelmaking temperatures. According to Gibbs free energy calculations, the equilibrium reaction product of the oxidation of iron or dissolved C in iron by CO2 strongly leans towards CO, with trace amounts of CO2 present. Simultaneously, C acts as a reducing agent for FeO, another factor that can slow down (or interfere with) iron oxidation. Of course, if O2 is blown beyond the endpoint of impurity oxidation, iron oxidation will be excessive, manifested as an increased concentration of liquid iron oxide (FeO) in the slag. Furthermore, once C is oxidized to CO, any additional O2 will combine with Fe, producing FeO in the slag.
[0005] The oxidizing power of slag during converter steelmaking refers to the oxidizing capacity of the slag. It has a significant impact on slag formation rate, phosphorus removal, sulfur removal, carbon removal, splashing, metal yield, final oxygen content of molten steel, and furnace lining erosion rate during converter steelmaking. Slag is the medium for oxygen transfer, and a considerable amount of FeO produced by iron oxidation in the metal is also enriched in the slag. Therefore, the FeO content in the slag can represent the oxidizing capacity of the slag. If the FeO content in the slag is too low, slag formation is difficult and the slag reactivity is low; if the FeO content in the slag is too high, splashing will occur, increasing metal loss and furnace lining erosion. Therefore, this invention proposes a method for efficient converter steelmaking. Summary of the Invention
[0006] To address the aforementioned problems, this invention proposes a method and apparatus for efficient converter blowing, which can achieve the goal of economical and efficient converter blowing.
[0007] The technical solution adopted by this invention to solve its technical problem is as follows:
[0008] In a first aspect, an embodiment of the present invention provides a method for high-efficiency blowing in a converter, comprising the following steps:
[0009] A model of the converter molten pool blowing process was established to simulate the circulation velocity and trajectory of molten steel in the molten pool during the blowing process, and to obtain a vector diagram of the circulation velocity of molten steel.
[0010] Based on the velocity vector diagram analysis, the flow rationality and running trajectory of molten steel in the converter pool are obtained to determine the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate.
[0011] Based on velocity vector analysis, the flow behavior and trajectory of molten steel in the converter pool under the conditions of optimal oxygen lance control lance height and optimal converter bottom blowing flow rate are obtained to determine the optimal charging timing and optimal batch weight.
[0012] A high-efficiency blowing model for converters was constructed and trained to obtain correction coefficients.
[0013] Efficient converter blowing operation is achieved by using correction factors.
[0014] As one possible implementation of this embodiment, the step of establishing a converter molten pool blowing process model to simulate the circulating flow velocity and trajectory of molten steel in the molten pool during the blowing process, and obtaining a velocity vector diagram of the molten steel circulation flow, includes:
[0015] A model of the converter molten pool blowing process was established to simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process;
[0016] The flow of molten steel under various oxygen lance control conditions, including lance height and bottom blowing flow rate, was simulated at various time points in the early, middle, and late stages of the blowing process. The time interval between each time point was 1 minute.
[0017] Control the oxygen lance position height H 枪位 Value sequence and converter bottom blowing flow rate F 底吹流量 The value sequences are combined and calculated to obtain the velocity vector diagram of the molten steel circulation flow under the corresponding conditions.
[0018] As one possible implementation of this embodiment, the height of the oxygen lance position is set at intervals of 50mm, i.e., the oxygen lance control position height H. 枪位The value sequences are: 2000mm, 1950mm, 1900mm, 1850mm, 1800mm, 1750mm, 1700mm, 1650mm...;
[0019] The bottom blowing flow rate is calculated at 50m³ / s. 3 / h is an interval point, that is, the converter bottom blowing flow rate F 底吹流量 The value sequence is as follows: 800m 3 / h, 750m 3 / h, 700m 3 / h, 650m 3 / h, 600m 3 / h, 550m 3 / h, 500m 3 / h.......
[0020] As one possible implementation of this embodiment, the step of analyzing the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram to obtain the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate includes:
[0021] Based on the velocity vector diagram analysis of the flow behavior and trajectory of molten steel in the converter pool, and combined with the CO, CO2, and O2 content in the flue gas at corresponding moments obtained from converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and the optimal converter bottom blowing flow rate F 底吹流量-模 Proposed.
[0022] As one possible implementation of this embodiment, the step of analyzing the flow behavior and trajectory of molten steel in the converter pool under the optimal oxygen lance position height and optimal converter bottom blowing flow rate based on the velocity vector diagram, and obtaining the optimal charging timing and optimal batch weight, includes:
[0023] Using a converter molten pool blowing process model to determine the optimal oxygen lance position height H 枪位 and the optimal converter bottom blowing flow rate F 底吹流量 The circulation speed and trajectory of molten steel in the molten pool under the charging operation conditions were simulated. Correlation analysis was performed with each charging batch varying in increments of 100 kg to obtain the optimal charging timing and optimal batch weight under the corresponding conditions.
[0024] As one possible implementation of this embodiment, the step of constructing a high-efficiency converter blowing model and training the model to obtain correction coefficients includes:
[0025] The actual oxygen lance control position height H at any point on the historical furnace blowing timeline. 枪位-实际 and converter bottom blowing flow rate F 底吹流量-实际Based on the principle of having the same or similar furnace entry conditions, a series database corresponding to furnace entries with the same or similar furnace entry conditions is obtained;
[0026] A high-efficiency converter blowing model was established, and binary linear regression analysis was performed on the oxygen lance control position height and converter bottom blowing flow rate for each series database to obtain the optimal oxygen lance control position height H at any time on the blowing time axis under the given furnace conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 ;
[0027] Gun position height H obtained by linear regression 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control lance height H at any time on the blowing time axis under the furnace charging conditions is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 :
[0028] H 枪位-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: mm
[0029] F 底吹流量-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: m 3 / h,
[0030] Where, η T η is the correction factor for the temperature of molten iron entering the furnace for this batch. Si+Mn η is the correction factor for the Si and Mn content of the molten iron fed into the furnace for this batch. 废钢比 η is the correction factor for the scrap ratio in this furnace charge. 模型 This is a correction coefficient for the high-efficiency blowing model of the converter;
[0031] Based on the simulation analysis results under the charging operation conditions, the optimal charging timing and batch weight corresponding to the control gun height and converter bottom blowing flow rate are obtained under the corresponding conditions.
[0032] All relevant information for this furnace batch is fed back to the series database for self-learning and coefficient correction.
[0033] Secondly, an embodiment of the present invention provides an apparatus for high-efficiency converter blowing, comprising:
[0034] The blowing simulation module is used to establish a model of the converter molten pool blowing process, simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process, and obtain a vector diagram of the circulation speed of molten steel.
[0035] The optimal converter bottom blowing data acquisition module is used to analyze the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram, and to obtain the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate.
[0036] The optimal charging data acquisition module is used to analyze the flow behavior and trajectory of molten steel in the converter pool under the conditions of optimal oxygen lance control position height and optimal converter bottom blowing flow rate based on the velocity vector diagram, and to obtain the optimal charging timing and optimal batch weight.
[0037] The model building and training module is used to construct a high-efficiency blowing model for converters, train the model, and obtain correction coefficients.
[0038] The converter high-efficiency blowing operation module is used to perform high-efficiency blowing operations in the converter using a correction coefficient.
[0039] As one possible implementation of this embodiment, the blowing simulation module is specifically used for:
[0040] A model of the converter molten pool blowing process was established to simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process;
[0041] The flow of molten steel under various oxygen lance control conditions, including lance height and bottom blowing flow rate, was simulated at various time points in the early, middle, and late stages of the blowing process. The time interval between each time point was 1 minute.
[0042] Control the oxygen lance position height H 枪位 Value sequence and converter bottom blowing flow rate F 底吹流量 The value sequences are combined and calculated to obtain the velocity vector diagram of the molten steel circulation flow under the corresponding conditions.
[0043] As one possible implementation of this embodiment, the height of the oxygen lance position is set at intervals of 50mm, i.e., the oxygen lance control position height H. 枪位 The value sequences are: 2000mm, 1950mm, 1900mm, 1850mm, 1800mm, 1750mm, 1700mm, 1650mm...;
[0044] The bottom blowing flow rate is calculated at 50m³ / s. 3 / h is an interval point, that is, the converter bottom blowing flow rate F底吹流量 The value sequence is as follows: 800m 3 / h, 750m 3 / h, 700m 3 / h, 650m 3 / h, 600m 3 / h, 550m 3 / h, 500m 3 / h.......
[0045] As one possible implementation of this embodiment, the optimal converter bottom blowing data acquisition module is specifically used for: analyzing the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram, and obtaining the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate, including:
[0046] Based on the velocity vector diagram analysis of the flow behavior and trajectory of molten steel in the converter pool, and combined with the CO, CO2, and O2 content in the flue gas at corresponding moments obtained from converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and the optimal converter bottom blowing flow rate F 底吹流量-模 Proposed.
[0047] As one possible implementation of this embodiment, the optimal feeding data acquisition module is specifically used for:
[0048] Using a converter molten pool blowing process model to determine the optimal oxygen lance position height H 枪位 and the optimal converter bottom blowing flow rate F 底吹流量 The circulation speed and trajectory of molten steel in the molten pool under the charging operation conditions were simulated. Correlation analysis was performed with each charging batch varying in increments of 100 kg to obtain the optimal charging timing and optimal batch weight under the corresponding conditions.
[0049] As one possible implementation of this embodiment, the model building and training module is specifically used for:
[0050] The actual oxygen lance control position height H at any point on the historical furnace blowing timeline. 枪位-实际 and converter bottom blowing flow rate F 底吹流量-实际 Based on the principle of having the same or similar furnace entry conditions, a series database corresponding to furnace entries with the same or similar furnace entry conditions is obtained;
[0051] A high-efficiency converter blowing model was established, and binary linear regression analysis was performed on the oxygen lance control position height and converter bottom blowing flow rate for each series database to obtain the optimal oxygen lance control position height H at any time on the blowing time axis under the given furnace conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 ;
[0052] Gun position height H obtained by linear regression 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control lance height H at any time on the blowing time axis under the furnace charging conditions is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 :
[0053] H 枪位-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: mm
[0054] F 底吹流量-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: m 3 / h,
[0055] Where, η T η is the correction factor for the temperature of molten iron entering the furnace for this batch. Si+Mn η is the correction factor for the Si and Mn content of the molten iron fed into the furnace for this batch. 废钢比 η is the correction factor for the scrap ratio in this furnace charge. 模型 This is a correction coefficient for the high-efficiency blowing model of the converter;
[0056] Based on the simulation analysis results under the charging operation conditions, the optimal charging timing and batch weight corresponding to the control gun height and converter bottom blowing flow rate are obtained under the corresponding conditions.
[0057] All relevant information for this furnace batch is fed back to the series database for self-learning and coefficient correction.
[0058] The beneficial effects of the technical solutions of the embodiments of the present invention are as follows:
[0059] This invention simulates the circulation speed and trajectory of molten steel in the molten pool during the blowing process. By combining the oxygen lance position, bottom blowing flow rate, and the timing, batch size, and number of charges, it obtains the optimal control of the lance position, bottom blowing flow rate, optimal charging timing, and reasonable batch size at various moments during the blowing process. This achieves the goal of economical and efficient converter blowing, effectively improves metal yield, reduces energy consumption in the steelmaking process, increases production efficiency, and reduces production costs.
[0060] This invention establishes a model of the converter molten pool blowing process to simulate the circulation velocity and trajectory of molten steel within the pool during blowing. Based on velocity vector diagram analysis, the flow properties and trajectory of molten steel in the converter molten pool are analyzed. Combined with converter flue gas analysis, the optimal oxygen lance control height H at any given moment on the blowing time axis is obtained. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 Based on this, a high-efficiency converter blowing model was constructed. Historical furnace data were classified according to the principle of similar or identical charging conditions to obtain a series database corresponding to furnaces with similar or identical charging conditions. Binary linear regression analysis was performed on the oxygen lance control lance height and converter bottom blowing flow rate in each series database to obtain the optimal lance control lance height H at any time on the blowing time axis under the charging conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 Then, the gun position height H obtained by linear regression was used. 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control height H at any moment on the blowing time axis under the given furnace conditions (including the corresponding optimal charging timing and batch weight) is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 The corresponding optimal feeding timing and batch weight effectively improved metal yield, reduced energy consumption in the steelmaking process, increased production efficiency, reduced production costs, and achieved economical and efficient converter blowing, which has significant guiding significance and broad prospects for promotion. Attached Figure Description
[0061] Figure 1 This is a flowchart illustrating a method for efficient converter blowing according to an exemplary embodiment;
[0062] Figure 2 This is a schematic diagram of a converter high-efficiency blowing apparatus according to an exemplary embodiment;
[0063] Figure 3 The specific example shown in Example 1 is a model that recommends controlling the oxygen lance position height H. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 A curve graph;
[0064] Figure 4 The specific example shown in Example 2 is a model that recommends controlling the oxygen lance position height H. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 The curve graph. Detailed Implementation
[0065] To more clearly illustrate the technical features of the present invention, the present invention will be described in detail below through specific embodiments and in conjunction with the accompanying drawings.
[0066] The thermal insulation performance of a ladle directly affects the tapping temperature of the smelting furnace, the quality of the cast billet, heat dissipation from the ladle wall, the service life of the ladle lining, and production costs. Therefore, studying the temperature drop patterns of molten steel in the ladle during tapping, transportation, and pouring, achieving accurate prediction of tapping temperature, maintaining stable molten steel temperature conditions, and realizing low-temperature constant-temperature pouring are of great significance for improving the quality of steel products and have significant economic benefits.
[0067] like Figure 1 As shown in the figure, an embodiment of the present invention provides a method for high-efficiency converter blowing, comprising the following steps:
[0068] A model of the converter molten pool blowing process was established to simulate the circulation velocity and trajectory of molten steel in the molten pool during the blowing process, and to obtain a vector diagram of the circulation velocity of molten steel.
[0069] Based on the velocity vector diagram analysis, the flow rationality and running trajectory of molten steel in the converter pool are obtained to determine the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate.
[0070] Based on velocity vector analysis, the flow behavior and trajectory of molten steel in the converter pool under the conditions of optimal oxygen lance control lance height and optimal converter bottom blowing flow rate are obtained to determine the optimal charging timing and optimal batch weight.
[0071] A high-efficiency blowing model for converters was constructed and trained to obtain correction coefficients.
[0072] Efficient converter blowing operation is achieved by using correction factors.
[0073] As one possible implementation of this embodiment, the step of establishing a converter molten pool blowing process model to simulate the circulating flow velocity and trajectory of molten steel in the molten pool during the blowing process, and obtaining a velocity vector diagram of the molten steel circulation flow, includes:
[0074] A model of the converter molten pool blowing process was established to simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process;
[0075] The flow of molten steel under various oxygen lance control conditions, including lance height and bottom blowing flow rate, was simulated at various time points in the early, middle, and late stages of the blowing process. The time interval between each time point was 1 minute.
[0076] Control the oxygen lance position height H 枪位 Value sequence and converter bottom blowing flow rate F 底吹流量 The value sequences are combined and calculated to obtain the velocity vector diagram of the molten steel circulation flow under the corresponding conditions.
[0077] As one possible implementation of this embodiment, the height of the oxygen lance position is set at intervals of 50mm, i.e., the oxygen lance control position height H. 枪位 The value sequences are: 2000mm, 1950mm, 1900mm, 1850mm, 1800mm, 1750mm, 1700mm, 1650mm...;
[0078] The bottom blowing flow rate is calculated at 50m³ / s. 3 / h is an interval point, that is, the converter bottom blowing flow rate F 底吹流量 The value sequence is as follows: 800m 3 / h, 750m 3 / h, 700m 3 / h, 650m 3 / h, 600m 3 / h, 550m 3 / h, 500m 3 / h.......
[0079] As one possible implementation of this embodiment, the step of analyzing the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram to obtain the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate includes:
[0080] Based on the velocity vector diagram analysis of the flow behavior and trajectory of molten steel in the converter pool, and combined with the CO, CO2, and O2 content in the flue gas at corresponding moments obtained from converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and the optimal converter bottom blowing flow rate F 底吹流量-模 Proposed.
[0081] As one possible implementation of this embodiment, the step of analyzing the flow behavior and trajectory of molten steel in the converter pool under the optimal oxygen lance position height and optimal converter bottom blowing flow rate based on the velocity vector diagram, and obtaining the optimal charging timing and optimal batch weight, includes:
[0082] Using a converter molten pool blowing process model to determine the optimal oxygen lance position height H 枪位 and the optimal converter bottom blowing flow rate F 底吹流量 The circulation speed and trajectory of molten steel in the molten pool under the charging operation conditions were simulated. Correlation analysis was performed with each charging batch varying in increments of 100 kg to obtain the optimal charging timing and optimal batch weight under the corresponding conditions.
[0083] As one possible implementation of this embodiment, the step of constructing a high-efficiency converter blowing model and training the model to obtain correction coefficients includes:
[0084] The actual oxygen lance control position height H at any point on the historical furnace blowing timeline. 枪位-实际 and converter bottom blowing flow rate F 底吹流量-实际 Based on the principle of having the same or similar furnace entry conditions, a series database corresponding to furnace entries with the same or similar furnace entry conditions is obtained;
[0085] A high-efficiency converter blowing model was established, and binary linear regression analysis was performed on the oxygen lance control position height and converter bottom blowing flow rate for each series database to obtain the optimal oxygen lance control position height H at any time on the blowing time axis under the given furnace conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 ;
[0086] Gun position height H obtained by linear regression 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control lance height H at any time on the blowing time axis under the furnace charging conditions is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 :
[0087] H 枪位-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: mm
[0088] F 底吹流量-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: m 3 / h,
[0089] Where, η T η is the correction factor for the temperature of molten iron entering the furnace for this batch. Si+Mn η is the correction factor for the Si and Mn content of the molten iron fed into the furnace for this batch. 废钢比 η is the correction factor for the scrap ratio in this furnace charge. 模型 This is a correction coefficient for the high-efficiency blowing model of the converter;
[0090] Based on the simulation analysis results under the charging operation conditions, the optimal charging timing and batch weight corresponding to the control gun height and converter bottom blowing flow rate are obtained under the corresponding conditions.
[0091] All relevant information for this furnace batch is fed back to the series database for self-learning and coefficient correction.
[0092] Secondly, an embodiment of the present invention provides an apparatus for high-efficiency converter blowing, comprising:
[0093] The blowing simulation module is used to establish a model of the converter molten pool blowing process, simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process, and obtain a vector diagram of the circulation speed of molten steel.
[0094] The optimal converter bottom blowing data acquisition module is used to analyze the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram, and to obtain the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate.
[0095] The optimal charging data acquisition module is used to analyze the flow behavior and trajectory of molten steel in the converter pool under the conditions of optimal oxygen lance control position height and optimal converter bottom blowing flow rate based on the velocity vector diagram, and to obtain the optimal charging timing and optimal batch weight.
[0096] The model building and training module is used to construct a high-efficiency blowing model for converters, train the model, and obtain correction coefficients.
[0097] The converter high-efficiency blowing operation module is used to perform high-efficiency blowing operations in the converter using a correction coefficient.
[0098] As one possible implementation of this embodiment, the blowing simulation module is specifically used for:
[0099] A model of the converter molten pool blowing process was established to simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process;
[0100] The flow of molten steel under various oxygen lance control conditions, including lance height and bottom blowing flow rate, was simulated at various time points in the early, middle, and late stages of the blowing process. The time interval between each time point was 1 minute.
[0101] Control the oxygen lance position height H 枪位 Value sequence and converter bottom blowing flow rate F 底吹流量 The value sequences are combined and calculated to obtain the velocity vector diagram of the molten steel circulation flow under the corresponding conditions.
[0102] As one possible implementation of this embodiment, the height of the oxygen lance position is set at intervals of 50mm, i.e., the oxygen lance control position height H. 枪位 The value sequences are: 2000mm, 1950mm, 1900mm, 1850mm, 1800mm, 1750mm, 1700mm, 1650mm...;
[0103] The bottom blowing flow rate is calculated at 50m³ / s. 3 / h is an interval point, that is, the converter bottom blowing flow rate F 底吹流量 The value sequence is as follows: 800m 3 / h, 750m 3 / h, 700m 3 / h, 650m 3 / h, 600m 3 / h, 550m 3 / h, 500m 3 / h.......
[0104] As one possible implementation of this embodiment, the optimal converter bottom blowing data acquisition module is specifically used for: analyzing the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram, and obtaining the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate, including:
[0105] Based on the velocity vector diagram analysis of the flow behavior and trajectory of molten steel in the converter pool, and combined with the CO, CO2, and O2 content in the flue gas at corresponding moments obtained from converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and the optimal converter bottom blowing flow rate F 底吹流量-模拟 .
[0106] As one possible implementation of this embodiment, the optimal feeding data acquisition module is specifically used for:
[0107] Using a converter molten pool blowing process model to determine the optimal oxygen lance position height H 枪位 and the optimal converter bottom blowing flow rate F 底吹流量 The circulation speed and trajectory of molten steel in the molten pool under the charging operation conditions were simulated. Correlation analysis was performed with each charging batch varying in increments of 100 kg to obtain the optimal charging timing and optimal batch weight under the corresponding conditions.
[0108] As one possible implementation of this embodiment, the model building and training module is specifically used for:
[0109] The actual oxygen lance control position height H at any point on the historical furnace blowing timeline. 枪位-实际 and converter bottom blowing flow rate F 底吹流量-实际 Based on the principle of having the same or similar furnace entry conditions, a series database corresponding to furnace entries with the same or similar furnace entry conditions is obtained;
[0110] A high-efficiency converter blowing model was established, and binary linear regression analysis was performed on the oxygen lance control position height and converter bottom blowing flow rate for each series database to obtain the optimal oxygen lance control position height H at any time on the blowing time axis under the given furnace conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 ;
[0111] Gun position height H obtained by linear regression 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control lance height H at any time on the blowing time axis under the furnace charging conditions is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 :
[0112] H 枪位-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: mm
[0113] F 底吹流量-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 Unit: m 3 / h,
[0114] Where, η T η is the correction factor for the temperature of molten iron entering the furnace for this batch. Si+Mn η is the correction factor for the Si and Mn content of the molten iron fed into the furnace for this batch. 废钢比 η is the correction factor for the scrap ratio in this furnace charge. 模型 This is a correction coefficient for the high-efficiency blowing model of the converter;
[0115] Based on the simulation analysis results under the charging operation conditions, the optimal charging timing and batch weight corresponding to the control gun height and converter bottom blowing flow rate are obtained under the corresponding conditions.
[0116] All relevant information for this furnace batch is fed back to the series database for self-learning and coefficient correction.
[0117] This invention simulates the circulation speed and trajectory of molten steel in the molten pool during the blowing process. By combining the oxygen lance position, bottom blowing flow rate, and the timing, batch size, and number of charges, it obtains the optimal control of the lance position, bottom blowing flow rate, optimal charging timing, and reasonable batch size at various moments during the blowing process. This achieves the goal of economical and efficient converter blowing, effectively improves metal yield, reduces energy consumption in the steelmaking process, increases production efficiency, and reduces production costs.
[0118] In actual operation, based on the model calculation results, the height of the oxygen lance position in the converter from the metal-slag liquid surface is continuously optimized. Combined with reasonable converter bottom blowing and charging operations, the goal of achieving good slag formation, stable carbon-oxygen reaction, high metal yield, low oxygen consumption, high auxiliary material utilization coefficient, short blowing cycle, and low-cost, economical and efficient blowing is achieved.
[0119] Specific calculation example 1:
[0120] Heater 1: Inlet temperature of molten iron 1372℃; molten iron composition: C: 4.32%; Si: 0.3%; Mn: 0.31%; P: 0.086%; S: 0.030%; Scrap steel + molten iron addition: (173 + 58)t; Main slag-forming materials and alloy additions: lime 23kg / t, dolomite 7.0kg / t, ore 6.1kg / t; Recommended model for oxygen lance control: lance height H. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 The curve is as follows Figure 3 As shown, the blowing process was smooth, with no splashing or back-drying, and the endpoint was hit on the first attempt.
[0121] Specific calculation example 2:
[0122] Heater 2: Inlet temperature of molten iron 1416℃; molten iron composition: C: 4.39%; Si: 0.51%; Mn: 0.39%; P: 0.076%; S: 0.026%; Scrap steel + molten iron addition: (175 + 56)t; Main slag-forming materials and alloy additions: lime 22.5kg / t, dolomite 6.7kg / t, ore 7.3kg / t; Recommended model for oxygen lance control: lance height H. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 The curve is as follows Figure 4 As shown, the blowing process was smooth, with no splashing or back-drying, and the endpoint was hit on the first attempt.
[0123] This invention establishes a converter molten pool blowing process model using SolidWorks software, and simulates the circulating flow velocity and trajectory of molten steel in the molten pool during the blowing process using Fluent finite element simulation software. Based on the velocity vector diagram analysis, the flow properties and trajectory of molten steel in the converter molten pool are analyzed. Combined with converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 Based on this, a high-efficiency converter blowing model was constructed. Historical furnace data were classified according to the principle of similar or identical charging conditions to obtain a series database corresponding to furnaces with similar or identical charging conditions. Binary linear regression analysis was performed on the oxygen lance control lance height and converter bottom blowing flow rate in each series database to obtain the optimal lance control lance height H at any time on the blowing time axis under the charging conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 Then, the gun position height H obtained by linear regression was used. 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control height H at any moment on the blowing time axis under the given furnace conditions (including the corresponding optimal charging timing and batch weight) is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 The corresponding optimal feeding timing and batch weight effectively improved metal yield, reduced energy consumption in the steelmaking process, increased production efficiency, reduced production costs, and achieved economical and efficient converter blowing, which has significant guiding significance and broad prospects for promotion.
[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.
Claims
1. A method for high-efficiency converter blowing, characterized in that, Includes the following steps: A model of the converter molten pool blowing process was established to simulate the circulation velocity and trajectory of molten steel in the molten pool during the blowing process, and to obtain a vector diagram of the circulation velocity of molten steel. Based on the velocity vector diagram analysis, the flow rationality and running trajectory of molten steel in the converter pool are obtained to determine the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate. Based on velocity vector analysis, the flow behavior and trajectory of molten steel in the converter pool under the conditions of optimal oxygen lance control lance height and optimal converter bottom blowing flow rate are obtained to determine the optimal charging timing and optimal batch weight. A high-efficiency blowing model for converters was constructed and trained to obtain correction coefficients. Efficient converter blowing operation is achieved by using correction factors.
2. The method for high-efficiency converter blowing according to claim 1, characterized in that, The process of establishing a converter molten pool blowing process model is used to simulate the circulation velocity and trajectory of molten steel in the molten pool during the blowing process, and to obtain a velocity vector diagram of the molten steel circulation flow, including: A model of the converter molten pool blowing process was established to simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process; The flow of molten steel under various oxygen lance control conditions, including lance height and bottom blowing flow rate, was simulated at various time points in the early, middle, and late stages of the blowing process. The time interval between each time point was 1 minute. Control the oxygen lance position height H 枪位 Value sequence and converter bottom blowing flow rate F 底吹流量 The value sequences are combined and calculated to obtain the velocity vector diagram of the molten steel circulation flow under the corresponding conditions.
3. The method for high-efficiency converter blowing according to claim 2, characterized in that, The analysis of the flow pattern and trajectory of molten steel in the converter pool based on velocity vector diagrams to obtain the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate includes: Based on the velocity vector diagram analysis of the flow behavior and trajectory of molten steel in the converter pool, and combined with the CO, CO2, and O2 content in the flue gas at corresponding moments obtained from converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and the optimal converter bottom blowing flow rate F 底吹流量-模 Proposed.
4. The method for high-efficiency converter blowing according to claim 3, characterized in that, The process involves analyzing the flow behavior and trajectory of molten steel in the converter pool under optimal oxygen lance height and bottom blowing flow conditions based on velocity vector diagrams, to obtain the optimal charging timing and optimal batch weight, including: Using a converter molten pool blowing process model to determine the optimal oxygen lance position height H 枪位 and the optimal converter bottom blowing flow rate F 底吹流量 The circulation speed and trajectory of molten steel in the molten pool under the charging operation conditions were simulated. Correlation analysis was performed with each charging batch varying in increments of 100 kg to obtain the optimal charging timing and optimal batch weight under the corresponding conditions.
5. The method for high-efficiency converter blowing according to claim 4, characterized in that, The construction of a high-efficiency converter blowing model and the training of the model to obtain correction coefficients include: The actual oxygen lance control position height H at any point on the historical furnace blowing timeline. 枪位-实际 and converter bottom blowing flow rate F 底吹流量-实际 Based on the principle of having the same or similar furnace entry conditions, a series database corresponding to furnace entries with the same or similar furnace entry conditions is obtained; A high-efficiency converter blowing model was established, and binary linear regression analysis was performed on the oxygen lance control position height and converter bottom blowing flow rate for each series database to obtain the optimal oxygen lance control position height H at any time on the blowing time axis under the given furnace conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 ; Gun position height H obtained by linear regression 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control lance height H at any time on the blowing time axis under the given furnace conditions is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 : H 枪位-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 , F 底吹流量-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 , Where, η T η is the correction factor for the temperature of molten iron entering the furnace for this batch. Si+Mn η is the correction factor for the Si and Mn content of the molten iron fed into the furnace for this batch. 废钢比 η is the correction factor for the scrap ratio in this furnace charge. 模型 This is a correction coefficient for the high-efficiency blowing model of the converter; Based on the simulation analysis results under the charging operation conditions, the optimal charging timing and batch weight corresponding to the control gun height and converter bottom blowing flow rate are obtained under the corresponding conditions. All relevant information for this furnace batch is fed back to the series database for self-learning and coefficient correction.
6. A converter high-efficiency blowing apparatus, characterized in that, include: The blowing simulation module is used to establish a model of the converter molten pool blowing process, simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process, and obtain a vector diagram of the circulation speed of molten steel. The optimal converter bottom blowing data acquisition module is used to analyze the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram, and to obtain the optimal oxygen lance control lance height and the optimal converter bottom blowing flow rate. The optimal charging data acquisition module is used to analyze the flow behavior and trajectory of molten steel in the converter pool under the conditions of optimal oxygen lance control position height and optimal converter bottom blowing flow rate based on the velocity vector diagram, and to obtain the optimal charging timing and optimal batch weight. The model building and training module is used to construct a high-efficiency blowing model for converters, train the model, and obtain correction coefficients. The converter high-efficiency blowing operation module is used to perform high-efficiency blowing operations in the converter using a correction coefficient.
7. The apparatus for high-efficiency converter blowing according to claim 6, characterized in that, The blowing simulation module is specifically used for: A model of the converter molten pool blowing process was established to simulate the circulation speed and trajectory of molten steel in the molten pool during the blowing process; The flow of molten steel under various oxygen lance control conditions, including lance height and bottom blowing flow rate, was simulated at various time points in the early, middle, and late stages of the blowing process. The time interval between each time point was 1 minute. Control the oxygen lance position height H 枪位 Value sequence and converter bottom blowing flow rate F 底吹流量 The value sequences are combined and calculated to obtain the velocity vector diagram of the molten steel circulation flow under the corresponding conditions.
8. The apparatus for high-efficiency converter blowing according to claim 7, characterized in that, The optimal converter bottom blowing data acquisition module is specifically used for: analyzing the flow behavior and trajectory of molten steel in the converter pool based on the velocity vector diagram, and obtaining the optimal oxygen lance control lance height and optimal converter bottom blowing flow rate, including: Based on the velocity vector diagram analysis of the flow behavior and trajectory of molten steel in the converter pool, and combined with the CO, CO2, and O2 content in the flue gas at corresponding moments obtained from converter flue gas analysis, the optimal oxygen lance control lance height H at any moment on the blowing time axis is obtained. 枪位-模拟 and the optimal converter bottom blowing flow rate F 底吹流量-模 Proposed.
9. The apparatus for high-efficiency converter blowing according to claim 8, characterized in that, The optimal feeding data acquisition module is specifically used for: Using a converter molten pool blowing process model to determine the optimal oxygen lance position height H 枪位 and the optimal converter bottom blowing flow rate F 底吹流量 The circulation speed and trajectory of molten steel in the molten pool under the charging operation conditions were simulated. Correlation analysis was performed with each charging batch varying in increments of 100 kg to obtain the optimal charging timing and optimal batch weight under the corresponding conditions.
10. The apparatus for high-efficiency converter blowing according to claim 9, characterized in that, The model building and training module is specifically used for: The actual oxygen lance control position height H at any point on the historical furnace blowing timeline. 枪位-实际 and converter bottom blowing flow rate F 底吹流量-实际 Based on the principle of having the same or similar furnace entry conditions, a series database corresponding to furnace entries with the same or similar furnace entry conditions is obtained; A high-efficiency converter blowing model was established, and binary linear regression analysis was performed on the oxygen lance control position height and converter bottom blowing flow rate for each series database to obtain the optimal oxygen lance control position height H at any time on the blowing time axis under the given furnace conditions. 枪位-分析 and converter bottom blowing flow rate F 底吹流量-分析 ; Gun position height H obtained by linear regression 枪位-分析 and bottom blowing flow rate F 底吹流量-分析 The simulation results show the gun position height H. 枪位-模拟 and converter bottom blowing flow rate F 底吹流量-模拟 After coefficient correction, the recommended oxygen lance control lance height H at any time on the blowing time axis under the given furnace conditions is obtained. 枪位-模型 and converter bottom blowing flow rate F 底吹流量-模型 : H 枪位-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 , F 底吹流量-模型 =(H 枪位-模拟 +H 枪位-分析 ) / 2×η T ×η Si+Mn ×η 废钢比 ×η 模型 , Where, η T η is the correction factor for the temperature of molten iron entering the furnace for this batch. Si+Mn η is the correction factor for the Si and Mn content of the molten iron fed into the furnace for this batch. 废钢比 η is the correction factor for the scrap ratio in this furnace charge. 模型 This is a correction coefficient for the high-efficiency blowing model of the converter; Based on the simulation analysis results under the charging operation conditions, the optimal charging timing and batch weight corresponding to the control gun height and converter bottom blowing flow rate are obtained under the corresponding conditions. All relevant information for this furnace batch is fed back to the series database for self-learning and coefficient correction.