CN116926260A - Temperature control method for converter steelmaking process - Google Patents
Temperature control method for converter steelmaking process Download PDFInfo
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- CN116926260A CN116926260A CN202310770814.2A CN202310770814A CN116926260A CN 116926260 A CN116926260 A CN 116926260A CN 202310770814 A CN202310770814 A CN 202310770814A CN 116926260 A CN116926260 A CN 116926260A
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- heat
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- converter
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- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000009628 steelmaking Methods 0.000 title claims abstract description 36
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 37
- 239000010959 steel Substances 0.000 claims abstract description 37
- 238000007254 oxidation reaction Methods 0.000 claims abstract description 21
- 238000004364 calculation method Methods 0.000 claims abstract description 18
- 230000003647 oxidation Effects 0.000 claims abstract description 16
- 239000000463 material Substances 0.000 claims abstract description 15
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 14
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 12
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 12
- 239000001301 oxygen Substances 0.000 claims abstract description 12
- 238000012360 testing method Methods 0.000 claims abstract description 12
- 238000009825 accumulation Methods 0.000 claims abstract description 10
- 238000006243 chemical reaction Methods 0.000 claims abstract description 10
- 238000001816 cooling Methods 0.000 claims abstract description 10
- CSJDCSCTVDEHRN-UHFFFAOYSA-N methane;molecular oxygen Chemical compound C.O=O CSJDCSCTVDEHRN-UHFFFAOYSA-N 0.000 claims abstract description 10
- 229910052742 iron Inorganic materials 0.000 claims abstract description 7
- 229910000720 Silicomanganese Inorganic materials 0.000 claims abstract description 6
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims abstract description 6
- 238000010438 heat treatment Methods 0.000 claims abstract description 6
- 229910052710 silicon Inorganic materials 0.000 claims abstract description 6
- 239000010703 silicon Substances 0.000 claims abstract description 6
- 238000013459 approach Methods 0.000 claims abstract description 5
- 238000012840 feeding operation Methods 0.000 claims abstract description 4
- 230000002194 synthesizing effect Effects 0.000 claims abstract description 4
- 239000000126 substance Substances 0.000 claims description 5
- 239000000203 mixture Substances 0.000 claims description 4
- 239000002893 slag Substances 0.000 claims description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 229910052799 carbon Inorganic materials 0.000 claims description 3
- 239000011572 manganese Substances 0.000 claims description 3
- PYLLWONICXJARP-UHFFFAOYSA-N manganese silicon Chemical compound [Si].[Mn] PYLLWONICXJARP-UHFFFAOYSA-N 0.000 claims description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 2
- 239000003546 flue gas Substances 0.000 claims description 2
- 229910052748 manganese Inorganic materials 0.000 claims description 2
- 239000002436 steel type Substances 0.000 abstract description 4
- 239000002994 raw material Substances 0.000 abstract description 3
- 230000003068 static effect Effects 0.000 description 8
- 238000007664 blowing Methods 0.000 description 4
- CWYNVVGOOAEACU-UHFFFAOYSA-N Fe2+ Chemical compound [Fe+2] CWYNVVGOOAEACU-UHFFFAOYSA-N 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 235000008733 Citrus aurantifolia Nutrition 0.000 description 1
- 229910000655 Killed steel Inorganic materials 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 235000011941 Tilia x europaea Nutrition 0.000 description 1
- CSDREXVUYHZDNP-UHFFFAOYSA-N alumanylidynesilicon Chemical compound [Al].[Si] CSDREXVUYHZDNP-UHFFFAOYSA-N 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229910000514 dolomite Inorganic materials 0.000 description 1
- 239000010459 dolomite Substances 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 239000004571 lime Substances 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
Classifications
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
- C21C5/28—Manufacture of steel in the converter
- C21C5/30—Regulating or controlling the blowing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Materials Engineering (AREA)
- Organic Chemistry (AREA)
- Metallurgy (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- Carbon Steel Or Casting Steel Manufacturing (AREA)
Abstract
The invention relates to a temperature control method in a converter steelmaking process, which comprises the following steps: receiving basic information of scrap steel and molten iron; step 2, before converting begins, starting a converter thermal efficiency model; step 3, when converting is started, starting a silicomanganese oxidation model; step 4, when the silicon oxidation reaction approaches the limit, starting a carbon-oxygen reaction heating model; step 5, when the feeding operation is executed, starting a material cooling model, wherein the step 5 has no time relation with the step 3 and the step 4; and 6, obtaining the predicted oxygen accumulation amount of the heat through steel-making data, judging the process test time through the predicted oxygen accumulation, and synthesizing the calculation results of the steps 3 to 5 to obtain the process temperature of the converter. The method is suitable for wide steel types, has low requirements on raw material stability and has higher prediction temperature precision.
Description
Technical Field
The invention relates to the technical field of automatic control of steelmaking, in particular to a temperature control method in a converter steelmaking process.
Background
Along with the progress of society, the steelmaking process gradually turns to the development of 'intelligent'. The intelligent steelmaking process can avoid instability of manual operation in theory and improve the product quality. For converter steelmaking, the core of the intelligent steelmaking process is a perfect full-flow model calculation mechanism and a stable material management system. In the steelmaking process flow, the process temperature is a key step directly influencing the smelting result.
In the conventional converter steelmaking process, a sublance test is usually performed when about 80% of oxygen is blown, and an operator performs an end point control operation by a process temperature obtained by the sublance test. However, there is slow and unstable regulation of oxygen flow; the defects of slow action of the sublance (including the rotation speed, the measuring speed and the measuring period of the sublance body) and the like restrict the exertion of steelmaking efficiency and influence the quality and the quality of steel.
The converter process temperature at the present stage is mainly obtained through the calculation of a static model of the converter, and the static model can be divided into a theoretical model, an incremental model, an artificial intelligence algorithm and the like. However, the static model test result has larger deviation due to the unstable ingredients of the material fed into the furnace, unstable operation in the blowing process, the defects of an algorithm, unstable heat efficiency of the converter and the like.
Disclosure of Invention
The invention provides a temperature control method for a converter steelmaking process, which is applicable to wide steel types, has low requirements on raw material stability and has higher prediction temperature precision.
In order to achieve the above purpose, the invention is realized by adopting the following technical scheme:
a converter steelmaking process temperature control method comprises the following steps:
step 1: receiving basic information of scrap steel and molten iron and calculating relevant parameters:
Q steel -the molten steel absorbs heat, kJ
Q c Chemical heat of steelmakingThe amount includes element oxidation heat, slag formation heat and smoke oxidation heat, kJ
Q p Steelmaking physical heat, kJ
T 0 -temperature of molten steel entering furnace, DEG C
Q Si，Mn Silicon manganese oxidation releases heat, kJ
m steel Weight of molten steel, kg
C p -specific heat capacity of molten steel, kJ/(kg. Degree centigrade)
Step 2: before converting starts, a converter thermal efficiency model is started, and the calculation formula is as follows:
step 3: when converting is started, the silicomanganese oxidation model is started, and the calculation formula is as follows:
in the method, in the process of the invention,
T 1 -temperature of molten steel at time t, DEG C
Step 4: when the silicon oxidation reaction approaches the limit, a carbon-oxygen reaction heating model is started, and the calculation formula is as follows:
in the method, in the process of the invention,
T 2 -real-time temperature of molten steel at a certain carbon content, DEG C
Step 5: when the feeding operation is executed, the material cooling model is started, and the step 5, the step 3 and the step 4 have no time relation, and the calculation formula is as follows:
in the method, in the process of the invention,
T steel -molten steel process test temperature, DEG C
f(t) i -the material cooling parameter of item i, DEG C/t
X i The material addition amount of the item i, t
Step 6: obtaining predicted oxygen accumulation amount of the heat through steel-making data, judging process test time through predicted oxygen accumulation, and synthesizing calculation results of the steps 3 to 5 to obtain converter process temperature.
The basic information includes temperature, weight and composition.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts a method of combining a dynamic model and a static model, wherein the static model comprises a converter thermal efficiency model and a material cooling model, and the dynamic model comprises a silicon-manganese oxidation model and a carbon-oxygen reaction heating model. The method avoids the problem of low precision of the process temperature prediction result caused by simply relying on a static model, and also avoids the influence caused by different application ranges of steel types and unstable raw materials.
Drawings
FIG. 1 is a flow chart of a method for controlling the temperature of a converter steelmaking process according to the present invention.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the embodiments that are illustrated below.
As shown in fig. 1, the invention provides a temperature control method for a converter steelmaking process, which adopts a mode of combining a static model and a dynamic model, wherein the static model comprises a converter thermal efficiency model and a material cooling model, and the dynamic model comprises a silicon-manganese oxidation model and a carbon-oxygen reaction heating model. The specific method comprises the following steps:
step 1: receiving basic information of scrap steel and molten iron and calculating relevant parameters:
Q steel -molten steelAbsorb heat, kJ
Q c Chemical heat of steelmaking including element oxidation heat, slag formation heat and flue gas oxidation heat, kJ
Q p Steelmaking physical heat, kJ
T 0 -temperature of molten steel entering furnace, DEG C
Q Si，Mn Silicon manganese oxidation releases heat, kJ
m steel Weight of molten steel, kg
C p -specific heat capacity of molten steel, kJ/(kg. Degree centigrade)
Wherein the basic information includes temperature, weight and composition.
Step 2: before blowing starts, a converter thermal efficiency model is started, the influence of factors such as steel types, slag remaining states, furnace stopping time and the like on the converter thermal efficiency is considered, and then the converter thermal efficiency is calculated through the absorption heat of molten steel, steelmaking chemistry and physical heat, and the calculation formula is as follows:
step 3: when blowing is started, a silicomanganese oxidation model is started, and the real-time temperature rise condition of the silicomanganese oxidation period is calculated by combining a converter steelmaking heat balance theory (Wang Xinhua. Ferrous metallurgy-steelmaking science [ M ]. Beijing: higher education press, 2007.113-123) and the heat efficiency obtained in the step 2, wherein the calculation formula is as follows:
in the method, in the process of the invention,
T 1 -temperature of molten steel at time t, DEG C
Step 4: when the silicon oxidation reaction approaches the limit, a carbon-oxygen reaction heating model is started, and the calculation formula is as follows:
in the method, in the process of the invention,
T 2 -real-time temperature of molten steel at a certain carbon content, DEG C
And (2) analyzing the obtained gas components by a mass spectrometer, and calculating the real-time temperature rise condition of the converter in the carbon-oxygen reaction period by combining a converter steelmaking heat balance theory, a carbon-oxygen reaction dynamics model (Wang Xinhua. Ferrous metallurgy-steelmaking science [ M ]. Beijing: higher education press, 2007.11-25.) and the heat utilization rate obtained in the step (2).
Step 5: when the charging operation is executed, the material cooling model is started, the process temperature of molten steel is obtained by combining a heat balance theory, the step 5, the step 3 and the step 4 have no time relation, and the calculation formula is as follows:
in the method, in the process of the invention,
T steel -molten steel process test temperature, DEG C
f(t) i -the material cooling parameter of item i, DEG C/t
X i The material addition amount of the item i, t
Step 6: obtaining the predicted oxygen accumulation amount of the heat through steel-making data, judging the process test time through the predicted oxygen accumulation amount, and synthesizing the calculation results of the steps 3 to 5 to obtain the process temperature of the converter.
Examples:
step 1: and receiving basic information of scrap steel and molten iron.
Low silicon aluminum killed steel, scrap steel 28t, molten iron 180t,1286 ℃, steel grade liquidus temperature 1519 ℃. The composition of the molten iron is referred to as a first table, and the related parameters are calculated to be referred to as a second table.
List one
| Element(s) | C | Si | Mn | P | S |
| Content wt.% | 4.2 | 0.49 | 0.23 | 0.062 | 0.002 |
Watch II
| Q steel (kJ) | Q c (kJ) | Q p (kJ) | Q Si，Mn (kJ) | m steel (kg) | C p (kJ·kg -1 ·℃ -1 ) | T 0 (℃) |
| 9.91×10 7 | 2.34×10 8 | 2.06×10 8 | 5.226×10 7 | 2×10 5 | 0.837 | 1286 |
Step 2: before blowing starts, a converter thermal efficiency model is started, and the thermal efficiency of the converter is calculated through the heat absorption of molten steel and the chemical and physical heat of steelmaking.
Step 3: at the beginning of converting, the silicon oxidation temperature rising model is started. And (3) calculating the real-time temperature rise condition of the silicomanganese oxidation period by combining the converter steelmaking heat balance theory and the heat efficiency obtained in the step (2).
Step 4: when the silicon oxidation reaction approaches the limit, the carbon-oxygen reaction temperature rising model is started. And (3) analyzing the obtained gas components by a mass spectrometer, and calculating the real-time temperature rise condition of the converter in the carbon-oxygen reaction period by combining the converter steelmaking heat balance theory and the heat utilization rate obtained in the step two.
Step 5: when the feeding operation is executed, the material cooling model is started, the step 5, the step 3 and the step 4 have no time relation, and the lime 6t, the dolomite 2t and the scrap steel 28t are added in the feeding process.
Step 6: the predicted oxygen accumulation amount of the heat is obtained through steel making data, the process test time is judged through the predicted oxygen accumulation amount, the calculation results of the steps 3 to 5 are synthesized, the converter process temperature 1582.7 ℃ at the time and the sublance test temperature 1582 ℃ are obtained, and the obtained converter process temperature is high in precision through comparison.
The above description is only a specific embodiment of the present invention and is not intended to limit the present invention in any way. While the invention has been described with reference to preferred embodiments, it is not intended to be limiting. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention shall fall within the scope of the technical solution of the present invention.
Claims (2)
1. A temperature control method for a converter steelmaking process is characterized by comprising the following steps:
step 1: receiving basic information of scrap steel and molten iron and calculating relevant parameters:
Q steel -the molten steel absorbs heat, kJ
Q c Chemical heat of steelmaking including element oxidation heat, slag formation heat and flue gas oxidation heat, kJ
Q p Steelmaking physical heat, kJ
T 0 -temperature of molten steel entering furnace, DEG C
Q Si,Mn Silicon manganese oxidation releases heat, kJ
m steel Weight of molten steel, kg
C p -specific heat capacity of molten steel, kJ/(kg. Degree centigrade)
Step 2: before converting starts, a converter thermal efficiency model is started, and the calculation formula is as follows:
step 3: when converting is started, the silicomanganese oxidation model is started, and the calculation formula is as follows:
in the method, in the process of the invention,
T 1 -temperature of molten steel at time t, DEG C
Step 4: when the silicon oxidation reaction approaches the limit, a carbon-oxygen reaction heating model is started, and the calculation formula is as follows:
in the method, in the process of the invention,
T 2 -real-time temperature of molten steel at a certain carbon content, DEG C
Step 5: when the feeding operation is executed, the material cooling model is started, and the step 5, the step 3 and the step 4 have no time relation, and the calculation formula is as follows:
in the method, in the process of the invention,
T steel -molten steel process test temperature, DEG C
f(t) i -the material cooling parameter of item i, DEG C/t
X i The material addition amount of the item i, t
Step 6: obtaining predicted oxygen accumulation amount of the heat through steel-making data, judging process test time through predicted oxygen accumulation, and synthesizing calculation results of the steps 3 to 5 to obtain converter process temperature.
2. A method of controlling the temperature of a converter steelmaking process according to claim 1, wherein said basic information includes temperature, weight and composition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310770814.2A CN116926260A (en) | 2023-06-28 | 2023-06-28 | Temperature control method for converter steelmaking process |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310770814.2A CN116926260A (en) | 2023-06-28 | 2023-06-28 | Temperature control method for converter steelmaking process |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116926260A true CN116926260A (en) | 2023-10-24 |
Family
ID=88383489
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310770814.2A Pending CN116926260A (en) | 2023-06-28 | 2023-06-28 | Temperature control method for converter steelmaking process |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116926260A (en) |
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2023
- 2023-06-28 CN CN202310770814.2A patent/CN116926260A/en active Pending
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