Refining slag system prediction method and system and storage medium

Abstract

The invention relates to the technical field of refining slag systems, and discloses a refining slag system prediction method and system and a storage medium, and the refining slag system prediction method comprises the following steps: based on a steelmaking data acquisition system, collecting current furnace charging information of a smelted steel grade, and calculating the component content of a refining slag system through material balance to obtain a refining slag system model; and comparing a calculation result of the refining slag system model with a slag sample assay result, and optimizing the refining slag system model to determine the addition amount of components in the refining slag system, according to the method, the slag system model of different steel grades is established through material balance calculation, the content and alkalinity of each component of the slag system are calculated through the slag system model, the obtained result is compared with a slag sample test result of a monitoring part, the slag system model is continuously optimized, and finally the reasonable heating amount and proportion of slag materials when different steel grades are smelted are determined. The molten steel quality requirement and the production rhythm requirement are met.

Description

Technical Field

[0001] The present invention relates to the technical field of refined slag series, and in particular to a refined slag series prediction method, system and storage medium. Background Art

[0002] Refining slag can directly affect the cleanliness of molten steel and the performance of inclusions. Good refined slag is mainly characterized by fast slag formation, good fluidity, strong inclusion adsorption and desulfurization capabilities, etc.

[0003] At present, there are many types of steel that go through the refining process, which are widely used, including low, medium and high carbon steels, such as high-quality carbon steel, axle steel, cord steel, alloy structural steel, cold heading steel series, grinding ball steel series, bearing steel, corrosion-resistant steel, automotive steel, etc. Different steel types have different requirements for cleanliness and sensitivity to inclusions. In particular, with the development and mass production of high-quality steel types such as high-end cold heading steel, 38CrMoAl high aluminum steel, and high-end grinding ball steel, as well as the accelerated pace of continuous casting production, the performance and refining effect of the original basic refined slag system have gradually failed to meet production needs.

[0004] The traditional method of adjusting the refined slag composition requires online dipping of the refined slag sample and performing fluorescence analysis after cooling. The detection cycle is long and it is impossible to provide timely feedback on the refined slag composition results, which is not conducive to timely adjustment to meet the production rhythm requirements and is also not conducive to the quality control requirements of steel grades. Summary of the invention

[0005] The purpose of the present invention is to solve the problem that the adjustment of the existing refining slag system has a lag, which leads to the inability to meet the production rhythm needs and the inability to meet the quality requirements of molten steel. A refining slag system prediction method is provided. The prediction method can timely determine the reasonable addition amount and ratio of slag according to the type of smelting steel, so as to meet the quality requirements of molten steel while meeting the production rhythm needs.

[0006] In order to achieve the above-mentioned purpose, the present invention provides a method for predicting a refined slag system, comprising collecting the current furnace charging information of smelting steel types based on a steelmaking data acquisition system, calculating the component content of the refined slag system through material balance, and obtaining a refined slag system model; and comparing the calculation result of the refined slag system model with the slag sample test result, and optimizing the refined slag system model to determine the addition amount of the components in the refined slag system.

[0007] Preferably, the furnace charging information includes the amount of silicon-manganese alloy, ferrosilicon alloy, silicon carbide, ferrosilicon powder, lime, slag-removing agent, aluminum block, aluminum wire and calcium wire.

[0008] Preferably, when comparing the calculation results of the refined slag system model with the test results of the slag sample, the FactSage thermodynamic calculation software is used to analyze and calculate the physical and chemical properties and slag-forming process of the current refined slag, and then experimentally verified, on the basis of the analysis and detection of the melting temperature and metallurgical properties, by changing the various components of the refined slag and adding various additives to improve the metallurgical properties of the slag, the metallurgical properties of different slag compositions are determined, and then the refined slag composition under different quality requirements is determined.

[0009] Preferably, the refined slag system prediction method also includes combining with the steelmaking information MES system to achieve preliminary control and prediction of the target slag system by controlling the process slag and alloy addition amount.

[0010] The present invention also provides a refining slag series prediction system, the refining slag series prediction system comprising a processor, and the processor is configured to execute the refining slag series prediction method as described above.

[0011] The present invention also provides a computer-readable storage medium storing instructions, wherein the instructions are used to be read by a machine so that the machine executes the above-mentioned refined slag system prediction method.

[0012] Through the above technical scheme, the present invention establishes a slag system model for each steel grade through material balance calculation, calculates the content and alkalinity of each component of the slag system through the slag system model, and compares the obtained results with the slag sample test results of the monitoring department, continuously optimizes the slag system model, and finally determines the reasonable heating amount and ratio of the slag when smelting different steel grades to meet the molten steel quality requirements and production rhythm needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of a method for predicting a refined slag system provided by the present invention;

[0014] Figure 2 It is the interface of the refined slag series prediction model provided by the present invention in the system. DETAILED DESCRIPTION

[0015] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0016] like Figure 1 As shown, the present invention provides a method for predicting a refining slag system, and the method for predicting a refining slag system comprises the following steps:

[0017] S1: Based on the steelmaking data collection system, the current furnace charging information of the smelting steel is collected, and the component content of the refined slag system is calculated through material balance to obtain the refined slag system model;

[0018] S2: Compare the calculation result of the refined slag system model with the test result of the slag sample, and optimize the refined slag system model to determine the addition amount of the components in the refined slag system.

[0019] The inventive concept of the present invention is to establish a refining slag system model in combination with the steelmaking information data acquisition system, and then standardize the slag making operation to achieve the purpose of improving the cleanliness of molten steel. In the specific inventive concept, the refining slag system model is established through material balance calculation, and the target slag system is determined by taking slag samples, testing the content and alkalinity of each component of the slag system and verifying the refining slag system model through continuous revision and optimization of the model. The slag system model for each steel grade is established through material balance calculation, and the content and alkalinity of each component of the slag system are calculated through the slag system model, and the obtained results are compared with the slag sample test results of the monitoring department, and the slag system model is continuously optimized, and finally the reasonable heating amount and ratio of the slag material when smelting different steel grades are determined to meet the quality requirements of molten steel and the needs of production rhythm.

[0020] In the prediction method provided by the present invention, the furnace charging information includes but is not limited to the amount of silicon-manganese alloy, ferrosilicon alloy, silicon carbide, ferrosilicon powder, lime, slag-removing agent, aluminum block, aluminum wire, and calcium wire.

[0021] In the prediction method provided by the present invention, when comparing the calculation results of the refined slag system model with the test results of the slag sample, the FactSage thermodynamic calculation software is used to analyze and calculate the physical and chemical properties and slag formation process of the current refined slag, and then experimentally verified, on the basis of analyzing and detecting the melting temperature and metallurgical properties, by changing the various components of the refined slag and adding various additives to improve the metallurgical properties of the slag, the metallurgical properties of different slag compositions are determined, and then the refined slag components under different quality requirements are determined. Specifically, in the above steps, the metallurgical properties of the slag are improved, including foaming, desulfurization, deoxidation, degassing and inclusion absorption performance. Through the above operations, the ability of different slag compositions to desulfurize, deoxidize and remove inclusions can be determined, and the optimized ratio of refined slag components under different quality requirements can be determined.

[0022] The refined slag system prediction method provided by the present invention also includes combining with the steelmaking information MES system to achieve preliminary control and prediction of the target slag system by controlling the process slag and alloy addition amount.

[0023] Based on the refined slag system prediction method provided by the present invention, the specific refining method can be carried out according to the following steps:

[0024] 1) Enter the target composition of the steel to be produced and the grade information of the materials used into the system, and collect the added silicon-manganese, ferrosilicon and other alloys, lime, slag-removing agent, silicon carbide, aluminum wire, calcium wire and other auxiliary materials into the system;

[0025] 2) converting the materials added in step 1) into slag components CaO, SiO2, Al2O3, MgO, basicity R and the mass of each component, and calculating the total slag amount after accumulation;

[0026] 3) comparing the weight of each component of the slag system in step 2) with the total slag amount, and the ratio is the weight percentage of the slag system component;

[0027] Wherein, in step 1), the ratio of the weight of CaO to the weight of SiO2 is the binary basicity value R.

[0028] The refined slag system prediction method provided by the present invention is further illustrated by using specific examples below.

[0029] Example 1

[0030] Steel grade: 20HL

[0031] Molten steel target:

[0032]

[0033] Slag Target:

[0034] CaO <![CDATA[SiO2]]> <![CDATA[Al2O3]]> MgO <![CDATA[CaF2]]> MnO FeO R 45 13 15 5 / 0.2 0.5 3.462

[0035] Slag making and deoxidation materials:

[0036]

[0037] Actual slag calculation:

[0038]

[0039] Example 2 Steel type: 45# steel National standard molten steel target:

[0040]

[0041]

[0042] Slag Target:

[0043] CaO SiO2 Al2O3 MgO CaF2 MnO FeO R 45 13 15 5 / 0.2 0.5 3.462

[0044] Slag making and deoxidation materials:

[0045]

[0046] Actual slag calculation:

[0047]

[0048] Another aspect of the present invention provides a refined slag series prediction system, the refined slag series prediction system comprising a processor, and the processor is configured to execute the refined slag series prediction method mentioned above.

[0049] like Figure 2 The figure shows the interface of a refining slag system prediction model provided by the present invention in the system. The refining slag system prediction system provided by the present invention can timely determine the reasonable amount and proportion of slag material to be added according to the type of steel to be smelted, and meet the quality requirements of molten steel while meeting the production rhythm requirements; the refining slag system prediction system can predict the slag system online, so as to save time and adjust the operation in time.

[0050] In another aspect, the present invention provides a computer-readable storage medium storing instructions, wherein the instructions are used to be read by a machine so that the machine executes the above-mentioned refined slag system prediction method.

[0051] The above describes in detail the optional implementation modes of the examples of the present invention; however, the implementation modes of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the implementation modes of the present invention, various simple modifications can be made to the technical solutions of the implementation modes of the present invention, and these simple modifications all belong to the protection scope of the implementation modes of the present invention.

[0052] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0053] Those skilled in the art can understand that all or part of the steps in the above-mentioned implementation method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions to enable a (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each implementation of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0054] In addition, various different embodiments of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A method for predicting refined slag series, characterized in that: The method includes collecting the current furnace charging information of smelting steel types based on a steelmaking data collection system, calculating the component content of the refining slag system through material balance, and obtaining a refining slag system model; and comparing the calculation result of the refining slag system model with the slag sample test result, and optimizing the refining slag system model to determine the addition amount of the components in the refining slag system.

2. The method for predicting the refined slag system according to claim 1, characterized in that: The furnace charging information includes the amount of silicon-manganese alloy, ferrosilicon alloy, silicon carbide, ferrosilicon powder, lime, slag-removing agent, aluminum block, aluminum wire and calcium wire.

3. The method for predicting the refined slag system according to claim 1, characterized in that: When comparing the calculation results of the refined slag system model with the test results of the slag samples, the FactSage thermodynamic calculation software is used to analyze and calculate the physical and chemical properties and slag-forming process of the current refined slag. Then, through experimental verification, on the basis of the analysis and detection of the melting temperature and metallurgical properties, the various components of the refined slag are changed, and various additives are added to improve the metallurgical properties of the slag, the metallurgical properties of different slag compositions are determined, and then the refined slag composition under different quality requirements is determined.

4. The method for predicting the refined slag system according to claim 1, characterized in that: The refined slag system prediction method also includes combining with the steelmaking information MES system to achieve preliminary control and prediction of the target slag system by controlling the process slag and alloy addition amount.

5. A refined slag prediction system, characterized in that: The slag-refining prediction system comprises a processor configured to execute the slag-refining prediction method according to any one of claims 1 to 4.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and the instructions are used to be read by a machine so as to enable the machine to execute the refined slag system prediction method according to any one of claims 1 to 4.

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