A method for improving the hit rate of automatic steelmaking

Abstract

The present application relates to a kind of method for improving the hit rate of automatic steelmaking, belong to steel metallurgy method technical field.The technical scheme of the present application is: collecting abnormal factor parameters, including converter waiting time, bottom blowing intensity and whether converter is shaking furnace, according to different waiting time, calculate the change value of molten steel temperature, and relevant information is collected in time into model calculation.The beneficial effects of the present application are: the automatic steelmaking process can be carried out completely, promote the continuous improvement of endpoint hit rate;It can realize the problem of reducing abnormal factors leading to converter waiting after model calculation and actual deviation is large, can be applied in steelmaking process, easy to operate, effect is stable, improve the quality of product and social, economic benefit.

Description

Technical Field

[0001] This invention relates to a method for improving the success rate of automated steelmaking, belonging to the technical field of iron and steel metallurgical methods. Background Technology

[0002] With the continuous advancement of steelmaking technology, automated steelmaking is becoming one of the important indicators for measuring the development level of steel enterprises. Currently, the popular automated steelmaking model in China is a dynamic-static model. The static part calculates process parameters such as oxygen consumption and blowing time based on information such as the composition and temperature of molten iron, scrap steel, raw materials, and the final composition requirements for different steel grades, using the overall thermal-oxygen balance of the converter. After the first stage of static control is completed, the temperature and composition of the molten steel are actually measured using methods such as secondary lances or bombs. Then, a second calculation is performed based on the difference between the actual measurement and calculation, as well as the final requirements, which is the so-called dynamic control, ultimately achieving the target composition and temperature. However, in actual operation, the target accuracy rate of automated steelmaking is often low, especially the temperature accuracy rate. The reason for this is that external factors such as production organization and equipment failures causing converter waiting or interruption of blowing are a significant cause of the large deviation between the model calculation and the actual results.

[0003] Patent CN202110246617.1 provides a method and apparatus for dynamic control of the entire converter blowing process, and patent CN202110200880.7 provides an unmanned intelligent steelmaking system and method. Both patents focus on automated steelmaking, addressing dynamic data monitoring and intelligent systems respectively. However, neither addresses how to ensure the automated steelmaking process reaches its endpoint when converter stalls due to production anomalies. Therefore, both inventions provide process control under normal automated steelmaking conditions and offer no guidance on how to conduct automated steelmaking under abnormal circumstances. Summary of the Invention

[0004] The purpose of this invention is to provide a method for improving the success rate of automated steelmaking. By comprehensively considering various abnormal factors, calculating the temperature change of molten steel based on different waiting times, and timely collecting relevant information and incorporating it into the model calculation, the automated steelmaking process can be carried out completely, promoting a continuous improvement in the final success rate. This method can reduce the problem of large deviations between model calculations and actual results caused by abnormal factors during converter waiting. It can be applied on a large scale in the steelmaking process, is easy to operate, has stable effects, improves product quality and social and economic benefits, and effectively solves the aforementioned problems existing in the background technology.

[0005] The technical solution of this invention is: a method for improving the success rate of automated steelmaking, comprising the following steps:

[0006] (1) Collect abnormal factor parameters, including converter waiting time, bottom blowing intensity and whether the converter is shaken;

[0007] (2) Substitute the abnormal factor parameters into the formula to calculate the temperature loss. The formula is as follows:

[0008]

[0009] in, t represents the converter waiting time, in minutes; Temperature loss when the converter waiting time is 0, in °C / min; Temperature loss when the converter waiting time is infinite, in °C / min; tilt Temperature loss during converter shaking, in °C; Δ Temperature loss due to bottom blowing, in °C / min; w The correlation coefficient is expressed in min.

[0010] (3) Analyze the calculation results. If the deviation between the predicted temperature and the actual measured temperature is within ±5°C, it is considered a hit; otherwise, it is considered a deviation from the target.

[0011] In step (2), the relevant parameter values ​​are taken as follows:

[0012] =5 °C / min, =1 °C / min, tilt =6.5-7.5°C, Δ =0.1-0.2°C / min, w =2min.

[0013] The temperature loss during converter shaking tilt The reference values ​​are as follows: for shaking time within 1 minute, take the lower limit; for shaking time between 1 minute and 2 minutes, take the middle limit; and for shaking time exceeding 2 minutes, take the upper limit.

[0014] The temperature loss Δ caused by bottom blowing The reference values ​​are as follows: 0.2°C / min for waiting before blowing, and 0.1°C / min for waiting during the interruption of blowing.

[0015] The beneficial effects of this invention are: by comprehensively considering various abnormal factors, calculating the temperature change of molten steel according to different waiting times, and timely collecting relevant information and incorporating it into the model calculation, the automated steelmaking process can be carried out completely, promoting the continuous improvement of the endpoint hit rate; it can reduce the problem of large deviations between model calculation and actual results caused by abnormal factors after converter waiting, and can be applied on a large scale in the steelmaking process. It is easy to operate, has stable effects, and improves product quality and social and economic benefits. Detailed Implementation

[0016] To make the purpose, technical solutions, and advantages of the embodiments of the invention clearer, the technical solutions in the embodiments of the invention are described clearly and completely below. Obviously, the embodiments described are only a small part of the embodiments of the invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without creative effort are within the protection scope of the invention.

[0017] A method for improving the success rate of automated steelmaking includes the following steps:

[0018] (1) Collect abnormal factor parameters, including converter waiting time, bottom blowing intensity and whether the converter is shaken;

[0019] (2) Substitute the abnormal factor parameters into the formula to calculate the temperature loss. The formula is as follows:

[0020]

[0021] in, t represents the converter waiting time, in minutes; Temperature loss when the converter waiting time is 0, in °C / min; Temperature loss when the converter waiting time is infinite, in °C / min; tilt Temperature loss during converter shaking, in °C; Δ Temperature loss due to bottom blowing, in °C / min; w The correlation coefficient is expressed in min.

[0022] (3) Analyze the calculation results. If the deviation between the predicted temperature and the actual measured temperature is within ±5°C, it is considered a hit; otherwise, it is considered a deviation from the target.

[0023] In step (2), the relevant parameter values ​​are taken as follows:

[0024] =5 °C / min, =1 °C / min, tilt =6.5-7.5°C, Δ =0.1-0.2°C / min, w =2min.

[0025] The temperature loss during converter shaking tilt The reference values ​​are as follows: for shaking time within 1 minute, take the lower limit; for shaking time between 1 minute and 2 minutes, take the middle limit; and for shaking time exceeding 2 minutes, take the upper limit.

[0026] The temperature loss Δ caused by bottom blowing The reference values ​​are as follows: 0.2°C / min for waiting before blowing, and 0.1°C / min for waiting during the interruption of blowing.

[0027] Example 1

[0028] In a top-and-bottom blown converter with a nominal capacity of 120 tons, low-carbon steel of grade Ml08Al was being smelted. After the converter was loaded with molten iron and scrap steel, a 5-minute wait was required due to production plan adjustments. At this time, the temperature of the molten steel in the converter was measured to be 1350°C. After the actual 5-minute wait, without any shaking of the furnace, the temperature drop was calculated to be 14.75°C according to the formula. The actual measured temperature of the molten steel was 1340°C, and the predicted temperature was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing process was accurate.

[0029] Example 2

[0030] In a top-and-bottom blown converter with a nominal capacity of 120 tons, cold heading steel of grade SWRCH22A was being smelted. After the converter was loaded with molten iron and scrap steel, a 10-minute wait was required due to production plan adjustments. At this time, the temperature of the molten steel in the converter was measured to be 1320°C. After the actual 10-minute wait, without any shaking of the furnace, the temperature drop calculated according to the formula was 20.73°C. The actual measured temperature of the molten steel was 1305°C, and the predicted temperature was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing process was accurate.

[0031] Example 3

[0032] In a top-and-bottom blown converter with a nominal capacity of 120 tons, 40Cr medium carbon steel was being smelted. After the converter was loaded with molten iron and scrap steel, a 15-minute wait was required due to production plan adjustments. At this time, the temperature of the molten steel in the converter was measured to be 1360°C. After the actual 15-minute wait, without any shaking of the furnace, the temperature drop was calculated to be 26°C according to the formula. The actual measured temperature of the molten steel was 1330°C, and the predicted temperature was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing process was accurate.

[0033] Example 4

[0034] In a top-and-bottom blown converter with a nominal capacity of 120 tons, high-carbon steel of grade U71Mn was being smelted. After the converter was loaded with molten iron and scrap steel, a 20-minute wait was required due to production plan adjustments. At this time, the measured temperature of the molten steel in the converter was 1350°C. After the actual 20-minute wait, the process included shaking the furnace for 2.5 minutes. According to the formula calculation, the temperature drop was 37.7°C. The actual measured temperature of the molten steel was 1315°C, and the predicted temperature was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing process was accurate.

[0035] Example 5

[0036] In a top-and-bottom blown converter with a nominal capacity of 120 tons, high-carbon steel of grade U75V was being smelted. During the blowing process, due to a malfunction of the auxiliary lance equipment, the converter was forced to wait for 5.2 minutes. At this time, the temperature of the molten steel in the converter was measured to be 1440°C. The process included shaking the furnace for 0.8 minutes. According to the calculation results, the temperature drop was 21.2°C. The actual measured temperature of the molten steel was 1425°C, and the predicted temperature value was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing process was accurate.

[0037] Example 6

[0038] In a top-and-bottom blown converter with a nominal capacity of 120 tons, medium carbon steel of grade 37Mn5 was being smelted. During the blowing process, due to a malfunction of the oxygen lance equipment, the converter was forced to wait for 6.4 minutes. At this time, the temperature of the molten steel in the converter was measured to be 1540°C. The process included shaking the furnace for 1 minute. According to the formula calculation results, the temperature drop was 23.2°C. The actual measured temperature of the molten steel was 1520°C, and the predicted temperature value was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing was accurate.

[0039] Example 7

[0040] In a top-and-bottom blown converter with a nominal capacity of 120 tons, high-carbon steel of GCr15 was being smelted. During the blowing process, due to a malfunction of the fume hood equipment, the converter was forced to wait for 8.6 minutes. At this time, the temperature of the molten steel in the converter was measured to be 1510°C. The process included shaking the furnace for 2 minutes. According to the formula calculation results, the temperature drop was 25.8°C. The actual measured temperature of the molten steel was 1485°C, and the predicted temperature value was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing was accurate.

[0041] Example 8

[0042] In a top-and-bottom blown converter with a nominal capacity of 120 tons, low-carbon steel of SAE100 grade was being smelted. During the blowing process, due to a malfunction in the charging equipment, the converter was forced to wait for 2.6 minutes. At this time, the temperature of the molten steel in the converter was measured to be 1450°C. There was no shaking of the furnace during the process. According to the calculation results of the formula, the temperature drop was 10.1°C. The actual measured temperature of the molten steel was 1445°C, and the predicted temperature value was accurate. After this information was collected into the secondary system, the final temperature of the converter blowing was accurate.

[0043] The above embodiments are only used to illustrate and not limit the technical solutions of the present invention. 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 present invention without departing from the spirit and scope of the present invention. Any modifications or partial substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for improving the success rate of automated steelmaking, characterized in that... Includes the following steps: (1) Collect abnormal factor parameters, including converter waiting time, whether the converter is shaken, and temperature loss caused by bottom blowing; (2) By considering abnormal factors, the temperature change of molten steel is calculated according to different waiting times. Relevant information is collected and incorporated into the model calculation. The abnormal factor parameters are substituted into the formula to calculate the temperature loss. The formula is as follows: ； and ； ； in, This refers to the converter waiting time, in minutes. Temperature loss when the converter waiting time is 0, in °C / min; Temperature loss when the converter waiting time is infinite, in °C / min; Temperature loss during converter shaking, in °C; Temperature loss due to bottom blowing, in °C / min; The correlation coefficient is expressed in min. (3) Analyze the calculation results. If the deviation between the predicted temperature and the actual measured temperature is within ±5℃, it is considered a hit; otherwise, it is considered a deviation from the target. The actual measured temperature is the temperature of the molten steel in the converter furnace actually measured at the end of the converter waiting time. The predicted temperature = the temperature of the molten steel in the converter furnace corresponding to the converter waiting time being 0 - ; In step (2), the relevant parameters are set as follows: =5°C / min, =1°C / min, =2min; The temperature loss during converter shaking The values ​​are as follows: for shaking time within 1 minute, the lower limit is taken within the range of 6.5-7.5°C; for shaking time between 1 minute and 2 minutes, the middle limit is taken within the range of 6.5-7.5°C; for shaking time exceeding 2 minutes, the upper limit is taken within the range of 6.5-7.5°C. The temperature loss caused by bottom blowing The values ​​are as follows: 0.2°C / min for waiting before blowing, and 0.1°C / min for waiting during the interruption of blowing.

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