Steel ladle argon blowing model prediction control method and system based on numerical simulation, industrial personal computer and readable storage medium

Abstract

The invention provides a steel ladle argon blowing model prediction control method and system based on numerical simulation, an industrial personal computer and a readable storage medium, and belongs to the technical field of steel ladle argon blowing. A historical database is established, information is classified, and a steel ladle argon blowing information set is formed; performing simulation analysis on each steel ladle argon blowing information group to obtain an optimal flow field of each time period during gas-liquid circulating flow, and matching the optimal flow field to the bottom blowing flow of two branches of the steel ladle; the bottom blowing flow of the two branches of the steel ladle is simulated, and a secondary database of the flow of the two branches of bottom blowing is formed. According to the actual conditions of the furnace, the bottom blowing flow values of the two air bricks corresponding to the optimal flow field of each argon blowing time period recommended by simulation are correspondingly found in the secondary database, and then through dynamic correction, two branch flow control curves of steel ladle argon blowing on a time axis under the optimal flow field of the furnace are obtained; and prediction and control of ladle argon blowing are realized. The argon blowing efficiency and effect are improved, the molten steel quality is improved, and stable operation of production is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of ladle argon blowing, and in particular relates to a ladle argon blowing model prediction control method, system, industrial control computer and readable storage medium based on numerical simulation. Background Art

[0002] Argon blowing in ladle is a simple refining method for degassing molten steel and removing non-metallic inclusions. This method has simple process, cheap equipment and remarkable refining effect. According to the structure of the molten steel at room temperature (such as austenite, ferrite, etc.) and the purpose of treatment, the gas blown into the molten steel can be argon, nitrogen, carbon monoxide, water vapor, air, or nitrogen, carbon monoxide, water vapor, air, and then argon. There are two main ways to blow argon in the ladle: top blowing argon and bottom blowing argon. Bottom blowing argon is to install gas supply components (permeable bricks, thin metal tube gas supply bricks) at the bottom of the ladle, and argon is blown into the molten steel through the bottom permeable bricks to form a large number of fine argon bubbles. The advantages of this method are uniform molten steel temperature, composition and good removal of inclusions, simple equipment, flexible and convenient operation, no need to occupy a fixed place, and argon blowing can be carried out during the whole process of steel tapping and LF treatment. The bottom argon blowing method can also be combined with other related methods to form a new refining method outside the furnace, such as VD, CAS-OB, etc. The disadvantage is that the air bricks are easily blocked, which affects the molten steel processing and is not synchronized with the life of the ladle. Top argon blowing is to insert an argon blowing gun from the top of the ladle to the center of the ladle to blow argon. The center of the argon blowing gun is a steel pipe that passes argon gas, and the outer layer is a refractory material of a certain thickness. This method requires the setting of a corresponding top blowing valve station, and powder can be sprayed for desulfurization at the same time as argon blowing, but the argon blowing effect is not as good as the bottom argon blowing effect.

[0003] Argon is an inert gas. The argon gas blown into the molten steel neither participates in chemical reactions nor dissolves. Pure argon contains very little hydrogen, nitrogen, oxygen, etc. It can be considered that the argon bubble blown into the molten steel is like a small vacuum chamber for the gas dissolved in the molten steel. The partial pressure of other gases in this small bubble is almost equal to zero. According to Sieverts' law, at a certain temperature, the solubility of a gas is proportional to the square root of the partial pressure of the gas in the gas phase. The gas in the steel continuously diffuses into the argon bubble, and the partial pressure in the bubble increases, but the bubble is heated and expanded during the floating process, so the partial pressure of nitrogen and hydrogen remains at a low level, continues to absorb hydrogen and nitrogen, and finally escapes from the molten steel with the argon bubble and is removed. If the molten steel is not completely deoxidized, when there is a considerable amount of dissolved oxygen in the molten steel, then blowing argon can also remove the dissolved oxygen in part of the steel, playing the role of deoxidation and decarburization. If active slags such as lime and fluorite (CaO, CaF2) are added, and argon is blown into the argon bubble at a high speed to intensify the slag-steel reaction, a significant desulfurization effect can also be achieved.

[0004] At present, the factors that affect the effect of ladle argon blowing are mainly argon blowing process parameters, including argon consumption, argon blowing pressure, argon flow rate, argon blowing time and argon bubble size. At the same time, the degree of deoxidation of molten steel also has a great influence on the effect of ladle argon blowing. How to determine the optimal bottom blowing flow rate through furnace parameter analysis, numerical simulation analysis, and comparative analysis to meet the needs of ladle production process is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a ladle argon blowing model prediction and control method based on numerical simulation, which can determine the optimal bottom blowing flow rate by analyzing furnace parameters, numerical simulation and comparative analysis to meet the ladle production process.

[0006] The method comprises: S101: establishing a historical database based on the ladle argon blowing information of the current heat and the historical heats, classifying the information in the historical database according to preset conditions, and then combining the classified information to form a ladle argon blowing information group; S102: Simulate and analyze each set of ladle argon blowing information groups to obtain the optimal flow field in each time period when the molten steel in the ladle is under the action of argon blowing gas and the gas-liquid circulation flows, and match the bottom blowing flow rates of the two branches of the ladle; S103: simulating the flow of two air-permeable bricks and the bottom blowing flow of two branches of the ladle corresponding to their optimal flow field, and forming a secondary database of the bottom blowing flow of the two branches based on the argon blowing time axis; S104: when the pressure or flow of a branch of the ladle is detected to be abnormal, the optimal flow field and the optimal flow matching value of the corresponding two branches under different flow conditions are found in the secondary database, and the flow of the other branch is increased to compensate; S105: Based on the actual conditions of this furnace, the bottom blowing flow values ​​of the two air-permeable bricks corresponding to the optimal flow fields of argon blowing in each time period simulated and recommended are found in the secondary database, and then through dynamic correction, the two-branch flow control curves of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained to realize the prediction and control of ladle argon blowing.

[0007] It should be further explained that the ladle argon blowing information in step S101 includes: the weight of molten steel in the ladle, the weight of slag-removing agent, the temperature of molten steel, the end point oxidizability, the amount of deoxidizer added and the permeability of the ladle bottom blowing air bricks.

[0008] It should be further explained that in step S102, the solid works software is used to establish a ladle model during the argon blowing treatment process, and the Fluent finite element simulation analysis software is used to simulate the argon blowing treatment process, and the velocity vector diagram of the gas-liquid circulation flow of the molten steel in the ladle under the action of the argon blowing gas under different control parameters is analyzed.

[0009] It should be further explained that, based on the velocity vector diagram, comparative analysis is performed to obtain the bottom blowing flow rate corresponding to the optimal flow field in each time period for various molten steel weights and bottom blowing gas flow rates, and the bottom blowing flow rates of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas with different control parameters are obtained.

[0010] It should be further explained that the actual conditions of this furnace in step S105 include: molten steel weight, slag-removing agent weight, molten steel temperature, endpoint oxidizability, amount of deoxidizer added, and actual pressure of the argon blowing branch pipes of the two ladle bottom blowing air-permeable bricks.

[0011] It should be further explained that the method also simulates the model value F in the secondary database (t1)-模型 、F (t2)-模型 Make dynamic corrections.

[0012] It should be further explained that the dynamic modification methods for the secondary database include: F (t1)-修正 =F (t1)-模型 (1- ) F (t2)-修正 =F (t2)-模型 (1- ) in, F (t1)-修正 is the model-corrected flow rate of the first bottom-blowing air-permeable brick branch at time t of argon blowing; F (t2)-修正 is the model-corrected flow rate of the second bottom-blowing air-permeable brick branch at time t of argon blowing; F (t1)-模型 The model recommended flow rate for the first bottom blowing air brick branch at time t of argon blowing; F (t2)-模型 The model recommended flow rate for the second bottom blowing air brick branch at time t of argon blowing; F (t1)-最大值 is the historical maximum flow rate of the first bottom-blowing air-permeable brick branch at the time of argon blowing t; F (t2)-最大值 is the historical maximum flow rate of the second bottom-blowing air-permeable brick branch at the time of argon blowing t; |F (t1)-模型 -F (t2)-模型 |For F (t1)-模型 With F (t2)-模型 The absolute value of .

[0013] The present invention also provides a ladle argon blowing model prediction and control system based on numerical simulation, the system comprising: an information collection classification library building module, a ladle bottom blowing flow analysis module, a secondary library configuration module, a flow compensation module and a prediction and control module; The information collection, classification and database building module builds a historical database based on the ladle argon blowing information of the current heat and historical heats, and classifies the information in the historical database according to preset conditions, and then combines the classified information to form a ladle argon blowing information group; The ladle bottom blowing flow analysis module is used to simulate and analyze each set of ladle argon blowing information groups, obtain the optimal flow field of each time period when the molten steel in the ladle is under the action of argon blowing gas and the gas-liquid circulation flow, and match it to the bottom blowing flow of the two branches of the ladle; The secondary library configuration module is used to simulate the flow of two air-permeable bricks and their optimal flow field corresponding to the bottom blowing flow of the two branches of the ladle, forming a secondary database of the bottom blowing flow of the two branches based on the argon blowing time axis.

[0014] The flow compensation module is used to find the best flow field and the best flow matching value under different flow conditions of the two corresponding branches in the secondary database when the pressure or flow of a branch of the ladle is detected to be abnormal, and to compensate the flow of the other branch; The prediction and control module is used to find the bottom blowing flow values ​​of the two air-permeable bricks corresponding to the optimal flow fields of argon blowing in each time period simulated and recommended in the secondary database according to the actual conditions of this furnace. Then, through dynamic correction, the two-branch flow control curves of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained to realize the prediction and control of ladle argon blowing.

[0015] The present invention also provides an industrial computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of a ladle argon blowing model prediction and control method based on numerical simulation are implemented.

[0016] The present invention also provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the ladle argon blowing model prediction and control method based on numerical simulation are implemented.

[0017] It can be seen from the above technical solutions that the present invention has the following advantages: The ladle argon blowing model prediction and control method based on numerical simulation provided by the present invention establishes a historical database by collecting various relevant information of the current furnace and historical furnaces, classifies them according to the principle of equal and similar intervals, and then recombine them. Each group of new combination types is simulated and analyzed to obtain the bottom blowing flow rates of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon blowing gas under various combinations, and considers the simulation of different flow rates of the two air bricks and the bottom blowing flow rates of the two branches of the ladle corresponding to their optimal flow fields, so as to form a secondary database of the bottom blowing flow rates of the two branches on the argon blowing time axis of the optimal flow field under various conditions. At the same time, flow compensation is performed for abnormal conditions of the two branches, and the bottom blowing flow values ​​F of the two air bricks under the optimal flow field of argon blowing in each time period corresponding to the corresponding secondary database are obtained in combination with the actual conditions of this furnace. (t1)-模型 、F (t2)-模型 Finally, through dynamic correction, the two-branch flow control curve F of ladle argon blowing on the time axis under the optimal flow field of this furnace is obtained. (t1)-修正 、F (t1)-修正 . It realizes accurate prediction and effective control of ladle argon blowing, improves the efficiency and effect of argon blowing, improves the quality of molten steel, ensures stable production operation, and improves production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 This is a flow chart of the prediction and control method of ladle argon blowing model based on numerical simulation; Figure 2 The present invention is a flow chart of an embodiment of a method for predicting and controlling ladle argon blowing model based on numerical simulation; Figure 3 A recommended curve of a two-branch bottom blowing model and a modified argon blowing curve diagram in one embodiment; Figure 4 It is a recommended curve of the bottom blowing two-branch model and a modified argon blowing curve diagram in another embodiment. DETAILED DESCRIPTION

[0020] The ladle argon blowing model prediction and control method based on numerical simulation provided by the present invention is mainly for effectively predicting and controlling the ladle argon blowing.

[0021] It should be noted that the main functions of ladle argon blowing are: (1) Using argon bubbles to wash molten steel can reduce the hydrogen and nitrogen content in the steel, and can further reduce the oxygen content in the steel.

[0022] (2) Utilize the stirring effect of argon gas to remove slag and inclusions, make the composition and temperature of the molten steel uniform, reduce segregation, and increase the yield of deoxidizer and alloy materials.

[0023] (3) Utilizing the protective effect of argon gas, the secondary oxidation of molten steel can be further avoided or reduced.

[0024] Ladle argon blowing involves the gas-liquid two-phase flow behavior of molten steel and argon in the ladle. The number, type, arrangement and gas flow rate of the ladle bottom blowing nozzles have an important impact on the flow field and mixing efficiency in the ladle. Seeking a reasonable argon blowing mode and revealing the law of gas-liquid two-phase flow behavior in the ladle can increase the reaction rate in the ladle and ensure stable working conditions.

[0025] The ladle argon blowing model prediction and control method based on numerical simulation provided by the present invention uses solid works software to establish a ladle model during argon blowing treatment, uses Fluent finite element simulation analysis software to simulate the argon blowing treatment process, and analyzes the velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon blowing gas under various conditions. Comparative analysis is performed to obtain the bottom blowing flow corresponding to the optimal flow field of various molten steel weights and bottom blowing gas flow rates in each time period.

[0026] In an embodiment of the present invention, in order to realize the prediction and control of the ladle argon blowing model, a computer program code for performing the operation of the present disclosure can be written in one or more programming languages ​​or a combination thereof, and the above-mentioned programming languages ​​include but are not limited to object-oriented programming languages ​​such as Java, Smalltalk, C++, and also include conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or completely on an industrial computer.

[0027] The industrial computer can use solid works software and Fluent finite element simulation analysis software to simulate the argon blowing process, and analyze the velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon blowing gas in various situations. Comparative analysis can be performed to obtain the bottom blowing flow corresponding to the optimal flow field of various molten steel weights and bottom blowing gas flow rates in various time periods, thereby improving the reaction rate in the ladle and ensuring stable working conditions and product quality.

[0028] The present invention relates to a ladle argon blowing model prediction and control method based on numerical simulation, which is applied to one or more industrial computers. The industrial computer is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0029] The industrial computer may include network equipment and / or user equipment, wherein the network equipment includes, but is not limited to, a single network server, a server group consisting of multiple network servers, or a cloud consisting of a large number of hosts or network servers based on cloud computing.

[0030] The network where the industrial computer is located includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, virtual private network (Virtual Private Network, VPN), etc.

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 and Figure 2 The figure is a flow chart of a ladle argon blowing model prediction and control method based on numerical simulation in a specific embodiment, the method comprising: S101: Establish a historical database based on the ladle argon blowing information of the current heat and historical heats, classify the information in the historical database according to preset conditions, and then combine the classified information to form a ladle argon blowing information group.

[0033] In an exemplary embodiment, data collection and classification are performed on ladle operating conditions. Ladle argon blowing information includes ladle molten steel weight, slag-removing agent weight, molten steel temperature, endpoint oxidizability (oxygen content), deoxidizer addition amount, ladle bottom blowing air brick permeability, etc., and data collection is performed to obtain a raw data history database of each heat.

[0034] The classification method is based on the weight of molten steel in the ladle, the weight of slag-removing agent, the temperature of molten steel, the end point oxidizability, the amount of deoxidizer added, and the air permeability of the bottom blowing air brick of the ladle. The classification can be carried out according to the principle of correlation and similarity of the argon blowing information of the ladle. For example, correlation can be understood as collecting and storing the relevant information of the molten steel weight in the ladle as a category in the original data history database. The relevant information of the molten steel temperature is collected as a category and stored in the original data history database.

[0035] The classification type can also be set based on the weight of molten steel in the ladle, the weight of slag-removing agent, the temperature of molten steel, the end point oxidation property, the amount of deoxidizer added, and the permeability of the ladle bottom blowing air bricks.

[0036] S102: Simulate and analyze each set of ladle argon blowing information groups to obtain the optimal flow field in each time period when the molten steel in the ladle is flowing in a gas-liquid circulation under the action of argon blowing gas, and match it to the bottom blowing flow rates of the two branches of the ladle.

[0037] In an exemplary embodiment, a simulation analysis is performed for each new combination type. Here, solidworks software can be used to establish a ladle model during argon blowing treatment, and Fluent finite element simulation analysis software can be used to simulate the argon blowing treatment process, and the velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon blowing gas under various conditions can be analyzed.

[0038] Fluent finite element simulation analysis software can be used to compare and analyze the bottom blowing flow rate corresponding to the optimal flow field in each time period for various molten steel weights and bottom blowing gas flow rates. Thus, the bottom blowing flow rates of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle is flowing in a gas-liquid cycle under the action of argon gas can be obtained under various combinations.

[0039] S103: Simulate the flow of two air-permeable bricks and their optimal flow field corresponding to the bottom blowing flow of two branches of the ladle, and form a secondary database of the bottom blowing flow of the two branches based on the argon blowing time axis.

[0040] In an exemplary embodiment, two air bricks are simulated with different flow rates. Here, the flow fields of two air bricks with different flow rates are simulated to solve the abnormal conditions such as blockage and poor ventilation of bottom-blown air bricks in actual production, and the optimal flow field under the condition of inconsistent ventilation effects of the two air bricks is analyzed and found, as well as the corresponding secondary database of different flow rates.

[0041] It should be noted that the secondary database can be configured based on the flow rates of the two bottom blowing branches on the argon blowing time axis of the optimal flow field under various conditions.

[0042] S104: When the pressure or flow of a branch of the ladle is detected to be abnormal, the optimal flow field and the optimal flow matching value of the corresponding two branches under different flow conditions are found in the secondary database, and the flow of the other branch is increased to compensate.

[0043] In this embodiment, the flow rates of the two branches have a mutual compensation function. For example, when the pressure and flow sensors in the two branches detect that the pressure and flow are abnormal, it means that one of the branches is blocked or poorly ventilated. At this time, the other branch will automatically increase the flow rate to compensate, and find the optimal flow field and the optimal flow matching value F under different flow conditions of the corresponding two branches in the secondary database. (t1)-补偿 、F (t2)-补偿 .

[0044] S105: Based on the actual conditions of this furnace, the bottom blowing flow values ​​of the two air-permeable bricks corresponding to the optimal flow fields of argon blowing in each time period simulated and recommended are found in the secondary database, and then through dynamic correction, the two-branch flow control curves of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained to realize the prediction and control of ladle argon blowing.

[0045] In an exemplary embodiment, combined with the actual conditions of the ladle argon blowing furnace, including the weight of molten steel, the weight of slag-removing agent, the temperature of molten steel, the final oxidation property (FeO content), the amount of deoxidizer added, and the actual pressure of the argon blowing branch pipes of the two ladle bottom blowing air bricks, the bottom blowing flow rate values ​​F of the two air bricks corresponding to the optimal flow fields of each time period of argon blowing simulated and recommended are found in the secondary database. (t1)-模型 、F (t2)-模型 .

[0046] The model simulation value F in the secondary database (t1)-模型 、F (t2)-模型 Make dynamic corrections.

[0047] F (t1)-修正 =F (t1)-模型 (1- ) F (t2)-修正 =F (t2)-模型 (1- ) in, F (t1)-修正 The model-corrected flow rate of the first bottom-blowing permeable brick branch at the time of argon blowing t, unit: Nm 3 / h; F (t2)-修正 The model-corrected flow rate of the second bottom-blowing air-permeable brick branch at the time of argon blowing t, unit: Nm 3 / h; F (t1)-模型 The recommended flow rate of the first bottom-blowing permeable brick branch at the time of argon blowing t, unit: Nm3 / h; F (t2)-模型 The recommended flow rate of the second bottom-blowing air-permeable brick branch at the time of argon blowing t, unit: Nm 3 / h; F (t1)-最大值 The historical maximum flow rate of the first bottom-blowing air-permeable brick branch at the time of argon blowing t, unit: Nm 3 / h; F (t2)-最大值 The historical maximum flow rate of the second bottom-blowing air-permeable brick branch at the time of argon blowing t, unit: Nm 3 / h; |F (t1)-模型 -F (t2)-模型 |For F (t1)-模型 With F (t2)-模型 Absolute value, unit: Nm 3 / h.

[0048] The ladle argon blowing model prediction and control method based on numerical simulation provided by the present invention establishes a historical database by collecting various relevant information of the current furnace and historical furnaces, classifies them according to the principle of equal and similar intervals, and then recombine them. Each group of new combination types is simulated and analyzed to obtain the bottom blowing flow rates of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon blowing gas under various combinations, and considers the simulation of different flow rates of the two air bricks and the bottom blowing flow rates of the two branches of the ladle corresponding to their optimal flow fields, so as to form a secondary database of the bottom blowing flow rates of the two branches on the argon blowing time axis of the optimal flow field under various conditions. At the same time, flow compensation is performed for abnormal conditions of the two branches, and the bottom blowing flow values ​​F of the two air bricks under the optimal flow field of argon blowing in each time period corresponding to the corresponding secondary database are obtained in combination with the actual conditions of this furnace. (t1)-模型 、F (t2)-模型 Finally, through dynamic correction, the two-branch flow control curve F of ladle argon blowing on the time axis under the optimal flow field of this furnace is obtained. (t1)-修正 、F (t1)-修正 . It realizes accurate prediction and effective control of ladle argon blowing, improves the efficiency and effect of argon blowing, improves the quality of molten steel, ensures stable production operation, and improves production efficiency.

[0049] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0050] In one embodiment of the present invention, based on the ladle argon blowing model prediction and control method based on numerical simulation, a possible embodiment will be given below to illustrate its specific implementation scheme in a non-limiting manner.

[0051] Heat 1: molten steel weight in ladle 215t; slagging agent weight: small-grained lime and fluorite 360kg and 210kg respectively; molten steel temperature 1576℃; endpoint oxidizability (O: 550ppm); deoxidizer addition amount: aluminum-manganese iron 502kg, silicon-manganese iron 2382kg, high-carbon manganese iron 1425kg; the air permeability of the bottom-blown air bricks in both branches of the ladle is good, the argon blowing pressure is 0.5GPa, the argon blowing time is 18.6min, and the argon blowing effect is good; the recommended curve of the bottom-blowing two-branch model under the conditions of this heat and the modified argon blowing curve are as follows Figure 3 shown.

[0052] Heat 2: molten steel weight in ladle 213t; slagging agent weight: small-grained lime and fluorite 430kg and 220kg respectively; molten steel temperature 1583℃; endpoint oxidizability (O: 510ppm); amount of deoxidizer added: 489kg of aluminum-manganese iron, 2452kg of silicon-manganese iron, 1328kg of high-carbon manganese iron; one of the two branches of the ladle bottom blowing air bricks is not ideal (argon blowing pressure 0.65GPa), and the other one is compensated and increased, and the argon blowing time is 19.1min; the recommended curve of the bottom blowing two-branch model under the conditions of this heat and the modified argon blowing curve are as follows Figure 4 shown.

[0053] The following is an embodiment of a ladle argon blowing model prediction and control system based on numerical simulation provided in an embodiment of the present disclosure. This system and the ladle argon blowing model prediction and control method based on numerical simulation in the above-mentioned embodiments belong to the same inventive concept. For details not fully described in the embodiment of the ladle argon blowing model prediction and control system based on numerical simulation, please refer to the above-mentioned embodiment of the ladle argon blowing model prediction and control method based on numerical simulation.

[0054] The system includes: information collection, classification and database building module, ladle bottom blowing flow analysis module, secondary library configuration module, flow compensation module and prediction and control module.

[0055] The information collection, classification and database building module establishes a historical database based on the ladle argon blowing information of the current heat and historical heats, and classifies the information in the historical database according to preset conditions, and then combines the classified information to form a ladle argon blowing information group.

[0056] The ladle bottom blowing flow analysis module is used to simulate and analyze each group of ladle argon blowing information groups, obtain the optimal flow field in each time period when the molten steel in the ladle is under the action of argon blowing gas and the gas-liquid circulation flows, and match it to the bottom blowing flow of the two branches of the ladle.

[0057] The secondary library configuration module is used to simulate the flow of two air-permeable bricks and their optimal flow field corresponding to the bottom blowing flow of the two branches of the ladle, forming a secondary database of the bottom blowing flow of the two branches based on the argon blowing time axis.

[0058] The flow compensation module is used to find the optimal flow field and the optimal flow matching value under different flow conditions of the corresponding two branches in the secondary database when the pressure or flow of a branch of the ladle is detected to be abnormal, and to compensate the flow of the other branch.

[0059] The prediction and control module is used to find the bottom blowing flow values ​​of the two air-permeable bricks corresponding to the optimal flow fields of argon blowing in each time period simulated and recommended in the secondary database according to the actual conditions of this furnace. Then, through dynamic correction, the two-branch flow control curves of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained to realize the prediction and control of ladle argon blowing.

[0060] The ladle argon blowing model prediction and control system involved in the present invention realizes accurate prediction and effective control of ladle argon blowing, improves argon blowing efficiency and effect, improves molten steel quality, ensures stable production operation, and improves production efficiency.

[0061] The ladle argon blowing model prediction and control system based on numerical simulation involved in the present invention is a unit and algorithm step of each example described in combination with the embodiments disclosed in this article, which can be implemented by electronic hardware, computer software or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0062] The readable storage medium of the present invention stores a program product capable of implementing a ladle argon blowing model prediction and control method based on numerical simulation. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps described in the above “Exemplary Method” section of this specification according to various exemplary implementations of the present disclosure.

[0063] The readable storage medium to which the present invention relates may adopt any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0064] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A ladle argon blowing model prediction and control method based on numerical simulation, characterized in that: The method comprises: S101: establishing a historical database based on the ladle argon blowing information of the current heat and the historical heats, classifying the information in the historical database according to preset conditions, and then combining the classified information to form a ladle argon blowing information group; S102: Simulate and analyze each set of ladle argon blowing information groups to obtain the optimal flow field in each time period when the molten steel in the ladle is under the action of argon blowing gas and the gas-liquid circulation flows, and match the bottom blowing flow rates of the two branches of the ladle; S103: simulating the flow of two air-permeable bricks and the bottom blowing flow of two branches of the ladle corresponding to their optimal flow field, and forming a secondary database of the bottom blowing flow of the two branches based on the argon blowing time axis; S104: when the pressure or flow of a branch of the ladle is detected to be abnormal, the optimal flow field and the optimal flow matching value of the corresponding two branches under different flow conditions are found in the secondary database, and the flow of the other branch is increased to compensate; S105: Based on the actual conditions of this furnace, the bottom blowing flow values ​​of the two air-permeable bricks corresponding to the optimal flow fields of argon blowing in each time period simulated and recommended are found in the secondary database, and then through dynamic correction, the two-branch flow control curves of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained to realize the prediction and control of ladle argon blowing.

2. The ladle argon blowing model prediction and control method based on numerical simulation according to claim 1, characterized in that: The ladle argon blowing information in step S101 includes: the weight of molten steel in the ladle, the weight of slag-removing agent, the temperature of molten steel, the end point oxidizability, the amount of deoxidizer added, and the permeability of the ladle bottom blowing air bricks.

3. The ladle argon blowing model prediction and control method based on numerical simulation according to claim 1, characterized in that: In step S102, the solid works software is used to establish a ladle model during the argon blowing process, and the Fluent finite element simulation analysis software is used to simulate the argon blowing process, and the velocity vector diagram of the gas-liquid circulation flow of the molten steel in the ladle under the action of the argon blowing gas under different control parameters is analyzed.

4. The ladle argon blowing model prediction and control method based on numerical simulation according to claim 3 is characterized in that: Based on the velocity vector diagram, comparative analysis is performed to obtain the bottom blowing flow rates corresponding to the optimal flow fields in each time period for various molten steel weights and bottom blowing gas flow rates, and the bottom blowing flow rates of the two branches of the ladle corresponding to the optimal flow fields in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas with different control parameters are obtained.

5. The ladle argon blowing model prediction and control method based on numerical simulation according to claim 1, characterized in that: The actual conditions of this furnace in step S105 include: molten steel weight, slag-removing agent weight, molten steel temperature, end point oxidizability, amount of deoxidizer added, and actual pressure of argon blowing branches of two ladle bottom blowing air-permeable bricks.

6. The ladle argon blowing model prediction and control method based on numerical simulation according to claim 1, characterized in that: The method also simulates the model value F in the secondary database (t1)-模型 、F (t2)-模型 Make dynamic corrections.

7. The ladle argon blowing model prediction and control method based on numerical simulation according to claim 1, characterized in that: The methods for dynamically modifying the secondary database include: F (t1)-修正 =F (t1)-模型 (1- ) F (t2)-修正 =F (t2)-模型 (1- ) in, F (t1)-修正 is the model-corrected flow rate of the first bottom-blowing air-permeable brick branch at time t of argon blowing; F (t2)-修正 is the model-corrected flow rate of the second bottom-blowing air-permeable brick branch at time t of argon blowing; F (t1)-模型 The model recommended flow rate for the first bottom blowing air brick branch at time t of argon blowing; F (t2)-模型 The model recommended flow rate for the second bottom blowing air brick branch at time t of argon blowing; F (t1)-最大值 is the historical maximum flow rate of the first bottom-blowing air-permeable brick branch at the time of argon blowing t; F (t2)-最大值 is the historical maximum flow rate of the second bottom-blowing air-permeable brick branch at the time of argon blowing t; |F (t1)-模型 -F (t2)-模型 |For F (t1)-模型 With F (t2)-模型 The absolute value of .

8. A ladle argon blowing model prediction and control system based on numerical simulation, characterized in that: The system is used to implement the ladle argon blowing model prediction and control method based on numerical simulation as described in any one of claims 1 to 7; the system includes: an information collection classification library building module, a ladle bottom blowing flow analysis module, a secondary library configuration module, a flow compensation module and a prediction and control module; The information collection, classification and database building module builds a historical database based on the ladle argon blowing information of the current heat and historical heats, and classifies the information in the historical database according to preset conditions, and then combines the classified information to form a ladle argon blowing information group; The ladle bottom blowing flow analysis module is used to simulate and analyze each set of ladle argon blowing information groups, obtain the optimal flow field of each time period when the molten steel in the ladle is under the action of argon blowing gas and the gas-liquid circulation flow, and match it to the bottom blowing flow of the two branches of the ladle; The secondary library configuration module is used to simulate the flow of two air-permeable bricks and their optimal flow field corresponding to the bottom blowing flow of the two branches of the ladle, forming a secondary database of the bottom blowing flow of the two branches based on the argon blowing time axis. The flow compensation module is used to find the best flow field and the best flow matching value under different flow conditions of the two corresponding branches in the secondary database when the pressure or flow of a branch of the ladle is detected to be abnormal, and to compensate the flow of the other branch; The prediction and control module is used to find the bottom blowing flow values ​​of the two air-permeable bricks corresponding to the optimal flow fields of argon blowing in each time period simulated and recommended in the secondary database according to the actual conditions of this furnace. Then, through dynamic correction, the two-branch flow control curves of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained to realize the prediction and control of ladle argon blowing.

9. An industrial computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the ladle argon blowing model prediction and control method based on numerical simulation as described in any one of claims 1 to 7 are implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the ladle argon blowing model prediction and control method based on numerical simulation as described in any one of claims 1 to 7 are implemented.

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