CN117672408A - Method for predicting low-temperature reduction degradation index of sinter - Google Patents
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- 230000015556 catabolic process Effects 0.000 title claims abstract description 82
- 238000006731 degradation reaction Methods 0.000 title claims abstract description 82
- 230000009467 reduction Effects 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000004364 calculation method Methods 0.000 claims abstract description 30
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- 238000004519 manufacturing process Methods 0.000 claims abstract description 24
- 238000012937 correction Methods 0.000 claims abstract description 18
- 239000000203 mixture Substances 0.000 claims abstract description 13
- 239000000126 substance Substances 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 11
- 238000005245 sintering Methods 0.000 claims description 29
- GWEVSGVZZGPLCZ-UHFFFAOYSA-N Titan oxide Chemical compound O=[Ti]=O GWEVSGVZZGPLCZ-UHFFFAOYSA-N 0.000 claims description 12
- 229910018072 Al 2 O 3 Inorganic materials 0.000 claims description 9
- 229910004298 SiO 2 Inorganic materials 0.000 claims description 9
- 229910010413 TiO 2 Inorganic materials 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 9
- 239000004408 titanium dioxide Substances 0.000 claims description 6
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- 238000012544 monitoring process Methods 0.000 abstract description 3
- 238000009851 ferrous metallurgy Methods 0.000 abstract description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 6
- 230000000694 effects Effects 0.000 description 6
- 238000002474 experimental method Methods 0.000 description 5
- 238000010924 continuous production Methods 0.000 description 4
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- 229910052742 iron Inorganic materials 0.000 description 3
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- 238000010304 firing Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 238000007664 blowing Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
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Abstract
The invention relates to a method for predicting low-temperature reduction degradation index of a sinter, which belongs to the technical field of ferrous metallurgy, and utilizes a first calculation formula to calculate RDI (RDI) of three groups of sinter low-temperature reduction degradation rates by acquiring detection result information of continuous three groups of sinter low-temperature reduction degradation tests and chemical composition information of the sinter +3.15 A test value; solving RDI of three groups of sintered ores in low-temperature reduction degradation rate +3.15 Obtaining a correction coefficient K by the difference between the test value and the measured value and the average value; and obtaining a second calculation formula capable of predicting the low-temperature reduction degradation index of the sinter by combining the first calculation formula and the correction coefficient K. The method can predict the low-temperature reduction degradation index of the sinter, is used for monitoring the change trend of the low-temperature reduction degradation rate and the low-temperature reduction degradation rate of the sinter in production, is suitable for the production site of Hunan steel, and solves the problems of high prediction error, poor trend, small range and the like in the prior art.
Description
Technical Field
The invention belongs to the technical field of ferrous metallurgy, and relates to a method for predicting a low-temperature reduction degradation index of a sintered ore.
Background
The low-temperature reduction degradation Rate (RDI) of the sinter is an important index of metallurgical performance of the sinter in a blast furnace, and fluctuation of the low-temperature reduction degradation Rate (RDI) of the sinter not only directly affects the air permeability of a blast furnace burden column, so that the furnace condition is unsmooth, but also the top blowing amount is increased. Therefore, the low-temperature reduction degradation rate of the sinter is directly related to the smooth production of the blast furnace, and is particularly important for improving the technical and economic indexes of the blast furnace.
Low temperature reduction degradation Rate (RDI) of sinter to RDI +6.30 、RDI +3.15 、RDI -0.50 Indicating the low-temperature reduction degradation index, and the RDI is used for domestic evaluation +3.15 As an assessment index.
The low-temperature reduction degradation performance of the sinter can be detected by using a national standard of method for static reduction of iron ore and cold drum after low-temperature reduction degradation performance test. Therefore, iron-making staff can frequently develop a low-temperature reduction degradation performance experiment to detect the low-temperature reduction degradation rate of the sinter, but the experiment detection is long in time consumption, and only one experiment result can be obtained in one experiment. The requirement of the blast furnace ironmaking technology on the control of the charging moment cannot be met efficiently.
The iron works almost produce the sintered ore every day, and the low-temperature reduction degradation indexes of the sintered ore produced by different sintering machines are different, so that the examination of the low-temperature reduction degradation indexes of all the sintered ore produced by each sintering machine every day is almost impossible, and a large amount of manpower and material resources are consumed. If a scientific and practical method can be found to predict the low-temperature reduction degradation index of the sinter, the experiment times can be reduced, and the control of blast furnace charging burden by ironmaking staff can be improved.
Iron making specialists have made a great deal of research on the index of low-temperature reduction degradation of sintered ores, but these are all researches on some preferential influencing factors, such as: papers on quantitative analysis of factors influencing the low-temperature reduction degradation index of the sintered ore, research on factors influencing the low-temperature reduction degradation index of the sintered ore, influence of alkalinity on the low-temperature reduction degradation performance of the low-silicon sintered ore of Nanjing steel and the like can not carry out qualitative and quantitative analysis on the change trend and degree of the low-temperature degradation index.
Zheng Zhaoying the influence of each component on the low-temperature reduction degradation rate is introduced in the paper "influence factor and prediction model of the low-temperature reduction degradation rate of sinter", and a prediction model is prepared. However, the model cannot be applied to the Hunan steel production field, and has the defects of high error, predicted trend difference and small prediction range.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a method for predicting the low-temperature reduction degradation index of the sinter, which can be used for predicting the low-temperature reduction degradation index of the sinter and accurately predicting the change trend of the low-temperature reduction degradation rate and the low-temperature reduction degradation rate of the sinter.
The invention discloses a method for predicting a low-temperature reduction degradation index of a sinter, which comprises the following steps:
s1, obtaining detection result information of a low-temperature reduction degradation test of three groups of continuous sintered ores;
s2, obtaining chemical composition information of the sinter;
s3, calculating low-temperature reduction degradation rate RDI of three groups of sintered ores by using a first calculation formula +3.15 A test value;
s4, according to three groups of RDIs +3.15 Test value and RDI +3.15 Obtaining a correction coefficient K by the difference and the average value of the measured values;
s5, combining a second calculation formula according to the correction coefficient K and the first calculation formula;
s6, rootAccording to the chemical composition of the sinter in the production site, calculating the RDI of the sinter low-temperature reduction degradation rate by applying a second calculation formula +3.15 Predicted values.
Further, in step S1, the detection result information of the low-temperature reduction degradation test of the sinter includes RDI +3.15 、RDI -3.15 、RDI +6.30 、RDI -6.30 、RDI +0.50 And RDI -0.50 Wherein:
、
、
。
further, in step S2, the sinter chemical composition information includes FeO and TiO 2 、CaO、SiO 2 、Al 2 O 3 And MgO in mass percentage.
Further, in step S3, the first calculation formula specifically includes:
，
in the formula, RDI +3.15t For RDI +3.15 A test value; feO is the mass percentage content of FeO; tiO (titanium dioxide) 2 Is TiO 2 Is prepared from the following components in percentage by mass; caO is the mass percentage content of CaO; siO (SiO) 2 Is SiO 2 Is prepared from the following components in percentage by mass; mgO is the mass percentage content of MgO; al (Al) 2 O 3 Is Al 2 O 3 Is added into the mixture according to the mass percentage.
Further, in step S4, the calculation formula of the correction coefficient K is:
，
in the formula, aRDI +3.15 For the first group of sintering RDI +3.15 A test value; bRDI +3.15 For the second set of sintering RDI +3.15 A test value; cRDI +3.15 For the third group of sintering RDI +3.15 A test value; ARDI (advanced ARDI) +3.15 For the first group of sintering RDI +3.15 An actual measurement value; BRDI (BRDI) +3.15 For the second set of sintering RDI +3.15 An actual measurement value; CRDI +3.15 For the third group of sintering RDI +3.15 Actual measurement values.
Further, in step S5, the second calculation formula is specifically
，
In the formula, RDI +3.15p For RDI +3.15 A predicted value; feO is the mass percentage content of FeO; tiO (titanium dioxide) 2 Is TiO 2 Is prepared from the following components in percentage by mass; caO is the mass percentage content of CaO; siO (SiO) 2 Is SiO 2 Is prepared from the following components in percentage by mass; mgO is the mass percentage content of MgO; al (Al) 2 O 3 Is Al 2 O 3 Is prepared from the following components in percentage by mass; k is a correction coefficient.
The invention has the beneficial effects that:
by acquiring detection result information of low-temperature reduction degradation tests of three groups of continuous sinters and chemical composition information of the sinters, calculating RDI (RDI) of the three groups of sinters by using a first calculation formula +3.15 A test value; calculating RDI of low-temperature reduction degradation rate of three groups of sintered ores +3.15 Obtaining a correction coefficient K by the difference and the average value of the test value and the measured value; and obtaining a second calculation formula capable of predicting the low-temperature reduction degradation index of the sinter by combining the first calculation formula and the correction coefficient K. The method can predict the low-temperature reduction degradation index of the sinter, is used for monitoring the change trend of the low-temperature reduction degradation rate and the low-temperature reduction degradation rate of the sinter in production, is suitable for the production site of Hunan steel, and solves the problems of high prediction error, poor trend, small range and the like in the prior art.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a flow chart of a method for predicting a low-temperature reduction degradation index of a sinter;
FIG. 2 is a graph showing the prediction of low-temperature reduction degradation of a total of 37 groups of new sintered ores of the one-firing sintering machine, 2023, 1-11 months in example 2 of the present invention;
FIG. 3 is a graph showing the prediction of low-temperature reduction degradation of 41 groups of new primary sintering machine sinters from 2023 month 1 to 11 in example 3 of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention for achieving the intended purpose, the following detailed description will refer to the specific implementation, structure, characteristics and effects according to the present invention with reference to the accompanying drawings and preferred embodiments.
Example 1
Referring to fig. 1, the application provides a method for predicting a low-temperature reduction degradation index of a sintered ore, which comprises the following steps:
s1, obtaining detection result information of a low-temperature reduction degradation test of three groups of continuous sintered ores;
s2, obtaining chemical composition information of the sinter;
s3, calculating low-temperature reduction degradation rate RDI of three groups of sintered ores by using a first calculation formula +3.15 A test value;
s4, according to three groups of RDIs +3.15 Testing and RDI +3.15 Obtaining a correction coefficient K by the difference and the average value of the measured values;
s5, combining a second calculation formula according to the correction coefficient K and the first calculation formula;
s6, calculating the RDI of the sinter low-temperature reduction degradation rate according to the chemical components of the sinter in the production site by applying a second calculation formula +3.15 Predicted values.
Further, in step S1, the detection result information of the low-temperature reduction degradation test of the sinter includes RDI +3.15 、RDI -3.15 、RDI +6.30 、RDI -6.30 、RDI +0.50 And RDI -0.50 Wherein:
、
、
。
low temperature reduction degradation index of sinter to RDI +3.15 The percentage of (2) is taken as a main index and RDI is taken as a main index +6.30 And RDI -0.50 The percentage of (2) is used as a reference index, so RDI is used in the invention +3.15 The percentage of (2) is dominant.
Further, in step S2, the sinter chemical composition information includes FeO and TiO 2 、CaO、SiO 2 、Al 2 O 3 And MgO in mass percentage.
Further, in step S3, the first calculation formula specifically includes:
，
in the formula, RDI +3.15t For RDI +3.15 A test value; feO is the mass percentage content of FeO; tiO (titanium dioxide) 2 Is TiO 2 Is prepared from the following components in percentage by mass; caO is the mass percentage content of CaO; siO (SiO) 2 Is SiO 2 Is prepared from the following components in percentage by mass; mgO is the mass percentage content of MgO; al (Al) 2 O 3 Is Al 2 O 3 Is added into the mixture according to the mass percentage.
Further, in step S4, the calculation formula of the correction coefficient K is:
，
in the formula, aRDI +3.15 For the first group of sintering RDI +3.15 An actual measurement value; bRDI +3.15 For the second set of sintering RDI +3.15 An actual measurement value; cRDI +3.15 For the third group of sintering RDI +3.15 Actual measurement value。
Further, in step S5, the second calculation formula is specifically
，
In the formula, RDI +3.15p For RDI +3.15 A predicted value; feO is the mass percentage content of FeO; tiO (titanium dioxide) 2 Is TiO 2 Is prepared from the following components in percentage by mass; caO is the mass percentage content of CaO; siO (SiO) 2 Is SiO 2 Is prepared from the following components in percentage by mass; mgO is the mass percentage content of MgO; al (Al) 2 O 3 Is Al 2 O 3 Is prepared from the following components in percentage by mass; k is a correction coefficient.
The invention has the beneficial effects that:
by acquiring detection result information of low-temperature reduction degradation tests of three groups of continuous sinters and chemical composition information of the sinters, calculating RDI (RDI) of the three groups of sinters by using a first calculation formula +3.15 A test value; calculating RDI of low-temperature reduction degradation rate of three groups of sintered ores +3.15 Obtaining a correction coefficient K by the difference and the average value of the measured values of the test values; and obtaining a second calculation formula capable of predicting the low-temperature reduction degradation index of the sinter by combining the first calculation formula and the correction coefficient K. The method can predict the low-temperature reduction degradation index of the sinter, is used for monitoring the change trend of the low-temperature reduction degradation rate and the low-temperature reduction degradation rate of the sinter in production, is suitable for the production site of Hunan steel, and solves the problems of high prediction error, poor trend, small range and the like in the prior art.
Example 2
According to the method for predicting the low-temperature reduction degradation index of the sintered ore in example 1, RDI in the embodiment +3.15 Predictive value and RDI +3.15 The difference of measured values is small, and the prediction effect is good.
It should be noted that the production is a continuous process, and each process parameter of the production process varies to different extents every day, so the prediction method cannot be always used, and needs to be updated to keep pace with the production step, and the update method is to repeat the above prediction steps, and the RDI after update +3.15 Predictive value and RDI +3.15 The difference of measured values is small, and the prediction effect is still good. By analogy, the method can be used for periodically predicting the low-temperature reduction degradation index of the sinter, so that the full-period low-temperature reduction degradation index prediction function of the sinter is achieved.
Because the production is a continuous process, the method can continuously track and predict the low-temperature reduction degradation index change rule of the sinter on the production site, thereby guiding the blast furnace production.
Referring to fig. 2, in this embodiment, the prediction of the low-temperature reduction degradation index and the change rule of the 2023 new-sintering low-temperature reduction degradation index is correct and the prediction error is low for the 2023 new-sintering total 37 groups of new-sintering machines in 1-11 months.
Example 3
According to the method for predicting the low-temperature reduction degradation index of the sintered ore in example 1, RDI in the embodiment +3.15 Predictive value and RDI +3.15 The difference of measured values is small, and the prediction effect is good.
It should be noted that the production is a continuous process, and each process parameter of the production process varies to different extents every day, so the prediction method cannot be always used, and needs to be updated to keep pace with the production step, and the update method is to repeat the above prediction steps, and the RDI after update +3.15 Predictive value and RDI +3.15 The difference of measured values is small, and the prediction effect is still good. By analogy, the method can be used for periodically predicting the low-temperature reduction degradation index of the sinter, so that the full-period low-temperature reduction degradation index prediction function of the sinter is achieved.
Because the production is a continuous process, the method can continuously track and predict the low-temperature reduction degradation index change rule of the sinter on the production site, thereby guiding the blast furnace production.
Referring to fig. 3, in this embodiment, for the prediction of low-temperature reduction degradation of the sintering ores of the new three-fired sintering machines of 41 groups 1-11 months in 2023, the prediction of the low-temperature reduction degradation index and the change rule of the new three-firing sintering in 2023 is correct, and the prediction error is low.
By combining the embodiment 2 and the embodiment 3, the invention can effectively predict the low-temperature reduction degradation rate and the change trend of the sintering ore, so that the full-period is that iron-making staff predicts the low-temperature reduction degradation rate of the sintering ore in a full period according to the chemical composition of the sintering ore and a small amount of experimental detection of the low-temperature reduction degradation, thereby guiding the production of a blast furnace.
The present invention is not limited to the above embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present invention.
Claims (3)
1. A method for predicting a low-temperature reduction degradation index of a sinter is characterized by comprising the following steps of: comprises the following steps:
s1, obtaining detection result information of a low-temperature reduction degradation test of three groups of continuous sintered ores;
s2, obtaining chemical composition information of the sinter;
s3, calculating low-temperature reduction degradation rate RDI of three groups of sintered ores by using a first calculation formula +3.15 A test value;
s4, according to three groups of RDIs +3.15 Test value and RDI +3.15 Obtaining a correction coefficient K by the difference and the average value of the measured values;
s5, combining a second calculation formula according to the correction coefficient K and the first calculation formula;
s6, calculating the RDI of the sinter low-temperature reduction degradation rate according to the chemical components of the sinter in the production site by applying a second calculation formula +3.15 A predicted value;
in step S3, the first calculation formula specifically includes:
，
in the formula, RDI +3.15t For RDI +3.15 A test value; feO is the mass percentage content of FeO; tiO (titanium dioxide) 2 Is TiO 2 Is prepared from the following components in percentage by mass; caO is the mass percentage content of CaO; siO (SiO) 2 Is SiO 2 Is prepared from the following components in percentage by mass; mgO is the mass percentage content of MgO; al (Al) 2 O 3 Is Al 2 O 3 Is prepared from the following components in percentage by mass;
in step S4, the calculation formula of the correction coefficient K is:
，
in the formula, aRDI +3.15 For the first group of sintering RDI +3.15 A test value; bRDI +3.15 For the second set of sintering RDI +3.15 A test value; cRDI +3.15 For the third group of sintering RDI +3.15 A test value; ARDI (advanced ARDI) +3.15 For the first group of sintering RDI +3.15 An actual measurement value; BRDI (BRDI) +3.15 For the second set of sintering RDI +3.15 An actual measurement value; CRDI +3.15 For the third group of sintering RDI +3.15 An actual measurement value;
in step S5, the second calculation formula specifically includes:
，
in the formula, RDI +3.15p For RDI +3.15 A predicted value; feO is the mass percentage content of FeO; tiO (titanium dioxide) 2 Is TiO 2 Is prepared from the following components in percentage by mass; caO is the mass percentage content of CaO; siO (SiO) 2 Is SiO 2 Is prepared from the following components in percentage by mass; mgO is the mass percentage content of MgO; al (Al) 2 O 3 Is Al 2 O 3 Is prepared from the following components in percentage by mass; k is a correction coefficient.
2. The method for predicting low-temperature reduction degradation index of sintered ore according to claim 1The method is characterized in that: in step S1, the detection result information of the sintering ore low-temperature reduction degradation test comprises RDI +3.15 、RDI -3.15 、RDI +6.30 、RDI -6.30 、RDI +0.50 And RDI -0.50 Wherein:
，
，
。
3. the method for predicting the low-temperature reduction degradation index of the sinter according to claim 1, wherein the method comprises the following steps: in the step S2, the chemical composition information of the sinter comprises FeO and TiO 2 、CaO、SiO 2 、Al 2 O 3 And MgO in mass percentage.
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