Method for calculating the amount of 350 tons of kr hot metal desulfurizer

Abstract

The present application relates to hot metal pretreatment technical field, and disclose a kind of 350 tons KR hot metal desulfurizer dosage calculation method, comprising the following steps: S1, obtain hot metal desulfurization historical furnace data, and according to the hot metal [S] before processing, the hot metal [Si] before processing, the hot metal temperature before processing, hot metal weight and target tapping mark are divided into different groups;S2, respectively to S1 and the regression analysis of each group data obtained, construct the linear relationship model between the hot metal [S] before processing, the hot metal [Si] before processing, the hot metal temperature before processing, hot metal weight and desulfurizer dosage.This method is based on data regression model, and comprehensively consider the influence of the hot metal [S] before processing, the hot metal [Si] before processing, the hot metal temperature before processing, hot metal weight, stirring paddle new and old degree, target hot metal [S] and target tapping mark etc.on desulfurizer dosage, so that the method can dynamically, real-time, accurately calculate the usage of desulfurizer under various hot metal conditions, with high accuracy and other advantages.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hot metal pretreatment, in particular to a calculation method of 350-ton KR hot metal desulfurizer dosage. BACKGROUND

[0002] Hot metal desulfurization is one of the most important functions of hot metal pretreatment, and is a major measure to reduce the burden of converter desulfurization and improve the quality of molten steel. Common desulfurizers mainly include soda (Na2CO3), lime (CaO), fluorite (CaF2), calcium carbide (CaC2) and their composite desulfurizers. The desulfurizer dosage directly affects the hot metal desulfurization effect, and is the decisive factor for the hot metal to reach the target sulfur content. The desulfurizer dosage is mainly affected by the initial [S] of hot metal, the initial [Si] of hot metal, the temperature of hot metal, the weight of hot metal, the slag amount of hot metal and other factors. For KR stirring desulfurization process, the new and old degree of stirring paddle also affects the desulfurizer dosage and desulfurization effect.

[0003] Currently, there are mainly two methods for calculating the desulfurizer dosage in actual production: one is to use a static table method, which first establishes a relationship table between the initial [S] of hot metal, the temperature of hot metal, the target [S] of hot metal and the desulfurizer unit consumption, then according to the initial [S] of hot metal, the temperature of hot metal and the target [S] of hot metal of the current heat, the corresponding desulfurizer unit consumption is obtained by table lookup, and finally the desulfurizer unit consumption is multiplied by the weight of hot metal to obtain the final desulfurizer dosage. This method has the advantages of simplicity and efficiency, but the maintenance of the static table is difficult and has poor flexibility; the second method is to use a data regression model to calculate the desulfurizer dosage, which can accurately calculate the desulfurizer dosage under normal hot metal conditions, but cannot adapt to abnormal hot metal conditions such as extremely low [Si] of hot metal, extremely high [S] of hot metal and extremely low temperature of hot metal. SUMMARY

[0004] (I) Technical problems solved

[0005] In view of the deficiencies of the prior art, the present application provides a calculation method of 350-ton KR hot metal desulfurizer dosage, which solves the problems in the above background.

[0006] (II) Technical solutions

[0007] In order to achieve the above purpose, the present application provides the following technical solutions: a calculation method of 350-ton KR hot metal desulfurizer dosage, comprising the following steps:

[0008] S1, obtaining hot metal desulfurization historical heat data, and dividing the historical heats into different groups according to the [S] of hot metal before treatment, the [Si] of hot metal before treatment, the temperature of hot metal before treatment, the weight of hot metal and the target tapping mark;

[0009] S2, respectively, to S1 and each group of data obtained regression analysis, build before treatment molten iron [S], before treatment molten iron [Si], before treatment molten iron temperature, molten iron weight and linear relationship model between the amount of desulfurizer;

[0010] S3, after the ladle seat jar, obtain the information required for desulfurizer dosage calculation, including: before treatment molten iron [S], before treatment molten iron [Si], before treatment molten iron temperature, molten iron weight, stirring paddle new and old degree mark code, target molten iron [S] and target tapping mark, etc.;

[0011] S4, according to the information obtained by S3, select the relationship model suitable for the furnace from the relationship model obtained by S2;

[0012] S5, using the relationship model obtained by S4, calculate the required desulfurizer dosage of the furnace;

[0013] S6, according to the new and old degree identification code of the stirring paddle, correct the desulfurizer dosage calculated by S5 to obtain the final desulfurizer dosage;

[0014] S7, judge whether the treated molten iron [S] reaches the target molten iron [S], if so, complete the desulfurization, if not, return to S5.

[0015] (Three) beneficial effects

[0016] The present application provides a kind of 350 tons KR molten iron desulfurizer dosage calculation method, with the following beneficial effects:

[0017] The method disclosed in the application is based on data regression model, and comprehensively considers the influence of before treatment molten iron [S], before treatment molten iron [Si], before treatment molten iron temperature, molten iron weight, stirring paddle new and old degree, target molten iron [S] and target tapping mark on the amount of desulfurizer, so that the method can dynamically, real-time and accurately calculate the amount of desulfurizer under various molten iron conditions, with the advantages of high accuracy, high maintainability and strong adaptability. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 It is a method flow diagram;

[0019] Figure 2 It is a historical data regression grouping rule diagram;

[0020] Figure 3 It is an effect diagram using the method. DETAILED DESCRIPTION

[0021] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0022] As shown in Figure 1 , the present application provides a technical solution: a calculation method of 350 tons of KR molten iron desulfurizer dosage, comprising the following steps:

[0023] S1, obtaining and grouping of molten iron desulfurization historical heat data

[0024] Obtain desulfurization historical heat data, and divide the historical heats into different groups according to [S] of molten iron before treatment, [Si] of molten iron before treatment, temperature of molten iron before treatment and target tapping mark, and the specific grouping rules are as shown in Figure 2 .

[0025] S2, constructing a linear relationship model group

[0026] Respectively, regression analysis is performed on S1 and the obtained data of each group, and a linear relationship model between [S] of molten iron before treatment, [Si] of molten iron before treatment, temperature of molten iron before treatment, weight of molten iron and desulfurizer dosage is constructed, and finally a linear relationship model group is obtained:

[0027] Abnormal molten iron group:

[0028] CAOW=3.410*HMS-0.11*HMSI-2.16*HMT+0.0076*HMW+2456kg

[0029] CAFW=CAOW*0.13

[0030] Ultra-low sulfur steel group:

[0031] CAOW=3.410*HMS-0.11*HMSI-2.16*HMT+0.0076*HMW+3465kg

[0032] CAFW=CAOW*0.04

[0033] High-sulfur steel group:

[0034] CAOW=3.035*HMS-0.11*HMSI-2.08*HMT+0.0120*HMW-850kg

[0035] CAFW=CAOW*0.03

[0036] Normal group:

[0037] CAOW = 3.140 * HMS - 0.11 * HMSI - 2.16 * HMT + 0.0076 * HMW + 1460 kg

[0038] CAFW = CAOW * 0.04

[0039] In the formula, CAOW: calculated lime amount, kg; CAFW: calculated fluorite amount, kg; HMS: [S] of hot metal before treatment, ppm; HMSI: [Si] of hot metal before treatment, ppm; HMT: hot metal temperature before treatment, ℃; HMW: hot metal weight, kg.

[0040] S3, obtain current heat information

[0041] After the hot metal ladle seat, obtain the information required for desulfurizer amount calculation, including: [S] of hot metal before treatment, [Si] of hot metal before treatment, hot metal temperature before treatment, hot metal weight, stirring paddle new and old degree identification code, target hot metal [S] and target tapping mark, etc.

[0042] S4, determine linear relationship model

[0043] According to the [S] of hot metal before treatment, [Si] of hot metal before treatment, hot metal temperature before treatment and target tapping mark obtained by S3, select the corresponding relationship model from the relationship model obtained by S2.

[0044] S5, calculate desulfurizer amount of this heat

[0045] Substitute the [S] of hot metal before treatment, [Si] of hot metal before treatment, hot metal temperature before treatment and hot metal weight information obtained by S3 into the relationship model formula obtained by S4 to calculate the desulfurizer amount required for this heat.

[0046] S6, calculate stirring paddle new and old degree correction

[0047] According to the stirring paddle new and old degree identification code obtained by S3, correct the desulfurizer amount calculated by S5 to obtain the final desulfurizer amount, and the correction rules are as follows:

[0048] If the stirring paddle new and old identification code is "0", that is, the stirring paddle enters the later life, the lime amount increases by 400 kg and the fluorite increases by 35 kg;

[0049] If the stirring paddle new and old identification code is "1", that is, the stirring paddle is in the early life, no correction is needed for the lime amount and the fluorite amount.

[0050] S7, judge whether desulfurization is successful

[0051] After desulfurization is completed, judge whether the [S] of hot metal after treatment reaches the target hot metal [S], if it does, complete desulfurization, if it does not, return to S5.

[0052] The method is used in a steel plant to calculate the amount of desulfurizer in KR desulfurization process to improve the automation level of hot metal desulfurization and reduce the labor intensity. The use effect of part of the furnace is shown in Figure 3 .

[0053] The use of the method in 3000 furnace times is statistically analyzed, and the analysis result shows that the hit rate of lime and fluorite amount calculation is 98.1%. Embodiment

[0054] The method is used in a steel plant to calculate the amount of desulfurizer in KR desulfurization process to improve the automation level of hot metal desulfurization and reduce the labor intensity. The use effect of part of the furnace is shown in

[0055] Current furnace information:

[0056] Molten iron before treatment [S] Molten iron [Si] before treatment Temperature of molten iron before treatment weight of molten iron Agitator wear indicator code Target molten iron [S] Target steel marking 150ppm 3265ppm 1432℃ 340016kg 1 64ppm AP0961E1

[0057] According to the current furnace information, the ordinary group relationship model formula (lime amount = 3.140*HMS-0.11*HMSI-2.16*HMT+0.0076*HMW-1460kg) should be selected for this furnace, and the lime amount is calculated to be 1063kg and the fluorite amount is calculated to be 43kg by substituting the current furnace information into the relationship model formula.

[0058] It should be noted that the relational terms herein such as first and second and the like are used only to differentiate one entity or action from another, and do not necessarily require or imply that these entities or actions occur in any actual relationship or order. In addition, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0059] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for calculating the dosage of desulfurizing agent for 350 tons of KR molten iron, characterized in that, Includes the following steps: S1. Acquisition and grouping of historical furnace data for hot metal desulfurization Obtain historical desulfurization furnace data, and divide the historical furnaces into different groups based on the pre-treatment molten iron [S], pre-treatment molten iron [Si], pre-treatment molten iron temperature, and target tapping mark. The specific grouping rules are as follows: If the molten iron [S] before treatment is greater than 0.15%, or the molten iron [Si] before treatment is less than 0.1%, or the molten iron temperature before treatment is less than 1280℃, it is classified as an abnormal molten iron group. The sulfur content of finished steel products is ≤50ppm, and they are divided into ultra-low sulfur steel groups. The steel markings indicate high-sulfur steel grades, which are divided into high-sulfur steel groups; Non-abnormal molten iron, silicon steel, and lightly treated materials are classified into the ordinary group; S2. Construct a linear relationship model group Regression analysis was performed on S1 and each set of acquired data to construct linear relationship models between molten iron [S], molten iron [Si], molten iron temperature, molten iron weight, and desulfurizing agent dosage before treatment. The final set of linear relationship models is as follows: Abnormal molten iron group: CAOW=3.410×HMS-0.11×HMSI-2.16×HMT+0.0076×HMW+2456kg CAFW = CAOW × 0.13 Ultra-low sulfur steel group: CAOW=3.410×HMS-0.11×HMSI-2.16×HMT+0.0076×HMW+3465kg CAFW = CAOW × 0.04 High sulfur steel group: CAOW=3.035×HMS-0.11×HMSI-2.08×HMT+0.0120×HMW-850kg CAFW = CAOW × 0.03 Normal Group: CAOW=3.140×HMS-0.11×HMSI-2.16×HMT+0.0076×HMW+1460kg CAFW = CAOW × 0.04 In the formula, CAOW: calculates the amount of lime used, in kg; CAFW: Calculates the amount of fluorite used, in kg; HMS: molten iron [S] before treatment, ppm; HMSI: molten iron [Si] before treatment, ppm; HMT: molten iron temperature before treatment, °C; HMW: Weight of molten iron, kg; S3. Obtain current furnace information After the molten iron ladle is placed in the ladle, obtain the information required for calculating the amount of desulfurizing agent, including: molten iron [S] before treatment, molten iron [Si] before treatment, molten iron temperature before treatment, molten iron weight, the newness mark of the agitator, the target molten iron [S], and the target tapping mark, etc. S4. Determine the linear relationship model Based on the molten iron [S], molten iron [Si], molten iron temperature and target tapping mark obtained in S3, select the corresponding relational model from the relational model obtained in S2; S5. Calculate the amount of desulfurizing agent used in this batch. Substitute the information on molten iron [S], molten iron [Si], molten iron temperature and weight obtained in S3 into the relational model formula obtained in S4 to calculate the amount of desulfurizer required for this heat. S6. Calculate the correction for the age of the agitator impeller. Based on the newness and wear identification code of the agitator obtained in S3, the desulfurizer dosage calculated in S5 is corrected to obtain the final desulfurizer dosage. The correction rules are as follows: If the new / old indicator code of the agitator is "0", it means that the agitator has entered the later stage of its life. The amount of lime should be increased by 400 kg and the amount of fluorite should be increased by 35 kg. If the new / old indicator code for the agitator is "1", it means that the agitator is in the early stage of its lifespan and there is no need to correct the amount of lime and fluorite. S7. Determine if desulfurization was successful. After desulfurization is completed, it is determined whether the treated molten iron [S] reaches the target molten iron [S]. If it does, desulfurization is completed; otherwise, it returns to S5.

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