WO2022208902A1 - 銑鉄製造方法 - Google Patents
銑鉄製造方法 Download PDFInfo
- Publication number
- WO2022208902A1 WO2022208902A1 PCT/JP2021/017806 JP2021017806W WO2022208902A1 WO 2022208902 A1 WO2022208902 A1 WO 2022208902A1 JP 2021017806 W JP2021017806 W JP 2021017806W WO 2022208902 A1 WO2022208902 A1 WO 2022208902A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- coke
- layer
- raw material
- blast furnace
- ore
- Prior art date
Links
- 229910000805 Pig iron Inorganic materials 0.000 title claims abstract description 40
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 40
- 239000000571 coke Substances 0.000 claims abstract description 123
- 239000002994 raw material Substances 0.000 claims abstract description 80
- 238000000034 method Methods 0.000 claims abstract description 58
- 239000000446 fuel Substances 0.000 claims abstract description 13
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 121
- 229910052742 iron Inorganic materials 0.000 claims description 49
- 229910052751 metal Inorganic materials 0.000 claims description 26
- 239000002184 metal Substances 0.000 claims description 26
- 239000002245 particle Substances 0.000 claims description 26
- 238000013473 artificial intelligence Methods 0.000 claims description 24
- 239000008188 pellet Substances 0.000 claims description 23
- 238000003475 lamination Methods 0.000 claims description 20
- 230000009467 reduction Effects 0.000 claims description 18
- 238000002844 melting Methods 0.000 claims description 17
- 230000008018 melting Effects 0.000 claims description 15
- 238000010030 laminating Methods 0.000 claims description 14
- 230000001603 reducing effect Effects 0.000 claims description 12
- 238000007664 blowing Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 238000010309 melting process Methods 0.000 claims description 5
- 238000011946 reduction process Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 38
- 230000035699 permeability Effects 0.000 description 30
- 238000000151 deposition Methods 0.000 description 10
- 230000008021 deposition Effects 0.000 description 10
- 238000009826 distribution Methods 0.000 description 9
- 239000000843 powder Substances 0.000 description 9
- UQSXHKLRYXJYBZ-UHFFFAOYSA-N Iron oxide Chemical compound [Fe]=O UQSXHKLRYXJYBZ-UHFFFAOYSA-N 0.000 description 8
- 230000000694 effects Effects 0.000 description 8
- TWNQGVIAIRXVLR-UHFFFAOYSA-N oxo(oxoalumanyloxy)alumane Chemical compound O=[Al]O[Al]=O TWNQGVIAIRXVLR-UHFFFAOYSA-N 0.000 description 8
- 239000003245 coal Substances 0.000 description 7
- 239000002893 slag Substances 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- PNEYBMLMFCGWSK-UHFFFAOYSA-N aluminium oxide Inorganic materials [O-2].[O-2].[O-2].[Al+3].[Al+3] PNEYBMLMFCGWSK-UHFFFAOYSA-N 0.000 description 4
- 239000003795 chemical substances by application Substances 0.000 description 4
- 238000004090 dissolution Methods 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 4
- 239000003638 chemical reducing agent Substances 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 230000007423 decrease Effects 0.000 description 3
- 238000010298 pulverizing process Methods 0.000 description 3
- 125000006850 spacer group Chemical group 0.000 description 3
- 238000009423 ventilation Methods 0.000 description 3
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 2
- 238000005255 carburizing Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000001465 metallisation Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 238000011282 treatment Methods 0.000 description 2
- 239000004484 Briquette Substances 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 235000019738 Limestone Nutrition 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 239000003575 carbonaceous material Substances 0.000 description 1
- 238000000748 compression moulding Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 239000010459 dolomite Substances 0.000 description 1
- 229910000514 dolomite Inorganic materials 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 239000006028 limestone Substances 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000155 melt Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000001846 repelling effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000005204 segregation Methods 0.000 description 1
- 239000000377 silicon dioxide Substances 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/008—Composition or distribution of the charge
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/001—Injecting additional fuel or reducing agents
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/001—Injecting additional fuel or reducing agents
- C21B5/003—Injection of pulverulent coal
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/24—Test rods or other checking devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27B—FURNACES, KILNS, OVENS, OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
- F27B1/00—Shaft or like vertical or substantially vertical furnaces
- F27B1/10—Details, accessories, or equipment peculiar to furnaces of these types
- F27B1/26—Arrangements of controlling devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27B—FURNACES, KILNS, OVENS, OR RETORTS IN GENERAL; OPEN SINTERING OR LIKE APPARATUS
- F27B1/00—Shaft or like vertical or substantially vertical furnaces
- F27B1/10—Details, accessories, or equipment peculiar to furnaces of these types
- F27B1/28—Arrangements of monitoring devices, of indicators, of alarm devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B2300/00—Process aspects
- C21B2300/04—Modeling of the process, e.g. for control purposes; CII
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0003—Monitoring the temperature or a characteristic of the charge and using it as a controlling value
Definitions
- the present invention relates to a method for producing pig iron.
- a first layer containing ore raw material and a second layer containing coke are alternately laminated in a blast furnace, and the ore raw material is reduced and melted while blowing auxiliary fuel into the blast furnace with hot air blown from the tuyeres.
- the coke serves as a heat source for melting the ore raw material, a reducing agent for the ore raw material, a recarburizing agent for carburizing the molten iron to lower the melting point, and a spacer for ensuring air permeability in the blast furnace. play.
- the present invention has been made based on the circumstances described above, and aims to provide a method for producing pig iron that can further reduce the amount of coke used while ensuring the flow of hot air in the center of the blast furnace.
- a method for producing pig iron according to an aspect of the present invention is a method for producing pig iron using a blast furnace having a tuyere, wherein a first layer containing an ore raw material and a second layer containing coke are placed in the blast furnace.
- the step of charging is performed, and the ratio R of the mass (ton/ch) of the coke deposited in the central portion to the mass (ton/ch) of the ore raw material to be charged is set to a predetermined value ⁇ or more in the one charge. .
- the pig iron manufacturing method by charging coke into the center of the blast furnace for each charge of laminating the lamination unit including the first layer and the second layer in the lamination step, hot air in the center of the blast furnace is generated. easily ensure the flow of In addition, in one charge, by setting the ratio R of the mass (ton/ch) of the coke deposited in the central portion to the mass (ton/ch) of the ore raw material to be charged to a predetermined value ⁇ or more, the hot air Breathability is improved. Therefore, even if the amount of coke used is reduced, the necessary air permeability can be ensured, so the amount of coke can be further reduced.
- the predetermined value ⁇ is preferably 0.017.
- the predetermined value ⁇ is calculated by the following formula 1. should be.
- the required amount of coke charged in the center may also vary depending on the ore deposition inclination angle of the first layer.
- the strength of the coke deposited in the central portion is equal to or greater than the strength of the coke contained in the second layer. From the viewpoint of air permeability, higher strength coke is preferable, but on the other hand, higher strength coke is generally expensive, leading to an increase in production costs. Therefore, by using high-strength coke only for central charging, it is possible to improve air permeability while suppressing an increase in manufacturing cost.
- the average particle size of the coke deposited in the central part is preferably equal to or greater than the average particle size of the coke contained in the second layer. From the viewpoint of air permeability, coke with a larger average particle size is preferable, but on the other hand, coke with a large average particle size is generally expensive, leading to an increase in production costs. Therefore, by using coke with a large average particle size only for central charging, it is possible to improve air permeability while suppressing an increase in production cost.
- a group of input data containing at least the temperature and airflow of the hot air, the amount of solution loss reaction, the amount of heat removed from the furnace wall, the amount of residual iron, the temperature of molten iron, and the ratio R for a predetermined period from the time before the reference time to the reference time.
- an output data group including the temperature data of hot metal obtained in the reduction and melting processes in the future from the reference time are input to the artificial intelligence model as learning data, and from the input data group from the reference time a step of causing an artificial intelligence model to learn to predict temperature data of the hot metal in the future; a step of obtaining the input data group using the current time as the reference time; inputting the current time into the learned artificial intelligence model as a reference time; and causing the learned artificial intelligence model to estimate the future temperature of the hot metal, wherein It is preferable to use the data group and the actual values of the output data group corresponding to the input data group as inputs for the learning step.
- the temperature of the hot metal can be controlled with high accuracy based on the ratio R.
- central part of the blast furnace refers to a region whose distance from the central axis of the blast furnace is 0.2Z or less, where Z is the radius of the throat.
- Size of coke refers to drum strength defined in JIS-K-2151:2004.
- average particle diameter means an arithmetic mean diameter.
- FIG. 1 is a flowchart showing a pig iron production method according to one embodiment of the present invention.
- FIG. 2 is a schematic diagram showing the inside of a blast furnace used in the pig iron manufacturing method of FIG.
- FIG. 3 is a schematic partially enlarged view from the cohesive zone to the dropping zone in FIG.
- FIG. 4 is a graph showing the relationship between the ratio R and the corrected K value in the example.
- FIG. 5 is a graph showing the relationship between coke ratio and K value in Examples.
- FIG. 6 is a schematic diagram showing the configuration of a blast furnace charge distribution experimental apparatus used in the examples.
- FIG. 7 is a graph showing the relationship between the iron ore pellet ratio P (alumina ball ratio) and the ore deposition inclination angle ⁇ in the example.
- FIG. 8 is a graph showing the relationship between the coke ratio classified by the proportion P of iron ore pellets and the K value in the example.
- the pig iron production method shown in FIG. 1 is a pig iron production method for producing pig iron using the blast furnace 1 shown in FIG.
- the blast furnace 1 has, as shown in FIG. 2, a tuyere 1a provided in the lower part of the furnace and a taphole 1b. A plurality of tuyeres 1a are usually provided.
- the blast furnace 1 is a solid-air countercurrent type shaft furnace, and hot air obtained by adding high temperature or normal temperature oxygen to high temperature air is blown into the furnace from the tuyeres 1a to produce the ore raw material 11 described later. After a series of reactions such as reduction and melting, pig iron can be taken out from the tap hole 1b.
- the blast furnace 1 is equipped with a material charging device 2 of the Bell Armor type. This raw material charging device 2 will be described later.
- the first layers 10 and the second layers 20 are alternately stacked in the blast furnace 1, as shown in FIG. That is, the number of layers of the first layer 10 and the number of layers of the second layer 20 is two or more.
- the first layer 10 contains an ore raw material 11 .
- the ore raw material 11 is heated and reduced by the hot air blown from the tuyere 1a in the reduction melting step S3 to become the hot metal F.
- the ore raw material 11 refers to ores used as iron raw materials, and mainly contains iron ore.
- the ore raw material 11 include calcined ore (iron ore pellets, sintered ore), lump ore, carbon material-containing agglomerate ore, metal, and the like.
- the ore raw material 11 preferably contains an aggregate 11a.
- the aggregate 11a is mixed with the ore raw material 11 will be described, but the aggregate 11a is not an essential constituent element, and the ore raw material 11 may not contain the aggregate 11a.
- the aggregate 11a is for improving the air permeability of the cohesive zone D, which will be described later, and allowing the hot air to pass through to the center M of the blast furnace 1.
- the aggregate 11a preferably contains a reduced iron compact (HBI, Hot Briquette Iron) obtained by compression molding reduced iron.
- HBI is formed by molding direct reduced iron (DRI) in a hot state.
- DRI direct reduced iron
- HBI has a low porosity and is difficult to reoxidize.
- the aggregate 11a After ensuring the air permeability of the first layer 10, the aggregate 11a functions as a metal and becomes hot metal. Since the aggregate 11a has a high metallization rate and does not need to be reduced, it does not require much reducing material when it becomes the hot metal. Therefore, CO2 emissions can be reduced.
- "metallization ratio” means the ratio [mass %] of metallic iron to the total iron content.
- the lower limit of the charging amount of the reduced iron compact is 100 kg, more preferably 150 kg, per ton of pig iron. If the charged amount of the reduced iron molded body is less than the lower limit, the function of ensuring the permeability of the aggregate 11a in the cohesive zone D may not work sufficiently in the reduction melting step S3.
- the upper limit of the charging amount of the reduced iron compact is appropriately determined within a range in which the aggregate effect is not reduced due to excessive aggregate. It is 700 kg per.
- the lower limit of the ratio of the average particle size of the reduced iron compact to the average particle size of the ore raw material 11b excluding the aggregate 11a is preferably 1.3, more preferably 1.4. As shown in FIG. 3, part of the ore raw material 11b excluding the aggregate 11a of the first layer 10 melts and moves downward in the blast furnace 1 as the dripping slag 12, and the ore raw material 11b excluding this aggregate 11a softens. Even when it shrinks, the high-melting reduced iron compact does not soften.
- the aggregate effect of the above-mentioned reduced iron compact is likely to be exhibited, and the first layer 10 as a whole shrinks. can prevent you from doing it. Therefore, by making the ratio of the average particle diameters equal to or higher than the lower limit, it is possible to secure a hot air flow path as indicated by the arrow in FIG.
- the upper limit of the average particle size ratio is preferably 10, more preferably 5. If the average particle size ratio exceeds the upper limit, it may be difficult to uniformly mix the reduced iron compact in the first layer 10, and segregation may increase.
- the upper limit of the aluminum oxide content in the reduced iron compact is preferably 1.5% by mass, more preferably 1.3% by mass. If the content of aluminum oxide exceeds the upper limit, it may become difficult to ensure air permeability in the lower part of the furnace due to an increase in the melting point of the slag and an increase in viscosity. Therefore, by setting the content of aluminum oxide in the reduced iron compact to the above upper limit or less, it is possible to suppress an increase in the amount of coke 21 used.
- the aluminum oxide content may be 0% by mass, that is, the reduced iron compact may not contain aluminum oxide, but the lower limit of the aluminum oxide content is 0.5% by mass. preferable. If the content of aluminum oxide is less than the above lower limit, the reduced iron compact becomes expensive, and the production cost of the pig iron may increase.
- auxiliary raw materials such as limestone, dolomite, and silica stone may be charged together. Further, in the first layer 10, in addition to the ore raw material 11, it is common to mix and use small coke under sieved coke.
- the second layer 20 contains coke 21 .
- the coke 21 is a heat source for melting the ore raw material 11 , a reducing agent necessary for reducing the ore raw material 11 , a recarburizing agent for carburizing molten iron and lowering the melting point, and a recarburizing agent for reducing the melting point of the molten iron. It acts as a spacer to ensure breathability.
- the raw material charging device 2 is provided at the top of the furnace. That is, the first layer 10 and the second layer 20 are charged from the furnace top.
- the raw material charging device 2, as shown in FIG. 2, has a bell cup 2a, a lower bell 2b, and an armor 2c.
- the bell cup 2a is filled with raw materials to be charged.
- the raw material constituting the first layer 10 is filled into the bell cup 2a, and when charging the second layer 20, the raw material constituting the second layer 20 is filled.
- the lower bell 2b has a conical shape that spreads downward and is arranged inside the bell cup 2a.
- the lower bell 2b can move up and down (in FIG. 2, a solid line indicates an upward movement, and a broken line indicates a downward movement).
- a solid line indicates an upward movement
- a broken line indicates a downward movement
- the armor 2c is provided on the furnace wall of the blast furnace 1 below the lower bell 2b. When the lower bell 2b is moved downward, raw materials fall through the gap, and the armor 2c is a repulsion plate for repelling the falling raw materials. Moreover, the armor 2c is configured to be retractable toward the inside of the blast furnace 1 .
- the first layer 10 can be laminated as follows. Note that the same applies to the second layer 20 as well. Moreover, lamination
- the lower bell 2b is positioned upward, and the raw material for the first layer 10 is charged into the bell cup 2a.
- the lower bell 2b is positioned upward, the lower portion of the bell cup 2a is closed, so the bell cup 2a is filled with the raw material.
- the filling amount be the lamination amount of each layer. If the capacity of the bell cup 2a is less than the amount of lamination of each layer, the first layer 10 may be laminated a plurality of times. This stacking by one filling is also called "one batch".
- ⁇ Central charging process> In the central portion charging step S2, coke 31 is charged into the central portion M of the blast furnace 1 . By charging the coke 31, a central layer 30 is formed as shown in FIG. It should be noted that not only the coke 31 but also a small amount of ore raw material, for example, may be mixed and charged into the central portion M.
- the central portion charging step S2 (the step of charging) is the lamination step S1 (the step of laminating), during one charge of laminating a lamination unit including one first layer 10 and one second layer 20 , is performed one or more times.
- one charge is one cycle of laminating the first layer 10 and the second layer 20 one by one.
- the first layer 10 and the second layer 20 are processed in two batches, the first The four treatments of the first batch of the layer 10, the second batch of the first layer 10, the first batch of the second layer 20 and the first batch of the second layer 20 are combined into one charge.
- the order of performing the central portion charging step S2 within one charge can be appropriately determined according to various conditions.
- the center portion charging step S2 may be performed as the first step of one charge, or may be performed in two steps immediately before laminating the first layer 10 and the second layer 20 .
- the first layer 10 and the second layer 20 are processed in two batches, between the first batch of the first layer 10 and the second batch of the first layer 10, and the second batch of the second layer 20 It can also be carried out in two batches during the first batch of the first layer 10 .
- the coke 31 may have the same properties as the coke 21 of the second layer 20, or may have different properties. When different properties are used, it is preferable that the strength of the coke 31 deposited on the central portion M is greater than or equal to the strength of the coke 21 contained in the second layer 20 . From the viewpoint of air permeability, higher strength coke is preferable, but on the other hand, higher strength coke is generally expensive, leading to an increase in production costs. Therefore, by mainly using high-strength coke for center charging, it is possible to improve air permeability while suppressing an increase in manufacturing cost.
- coke deposited in the central part is mainly coke charged in the central part charging step S2, but for example, when the second layer is laminated, coke is deposited in the central part due to rolling etc. In this case, this coke is included in the coke deposited in the core. That is, "coke deposited in the center” is coke deposited in the center after charging one charge, and its origin is not limited.
- the strength of the coke 31 deposited in the central portion M is equal to or greater than the strength of the coke 21 contained in the second layer 20
- the coke 31 charged in the central portion charging process is the second layer 20 It is equivalent to having a higher strength than the coke 21 contained in.
- this coke can be considered to have the same strength as the coke 21 of the second layer 20 .
- the average particle diameter of the coke 31 deposited in the central portion M is equal to or greater than the average particle diameter of the coke 21 contained in the second layer 20.
- coke with a larger average particle size is preferable, but on the other hand, coke with a large average particle size is generally expensive, leading to an increase in production costs. Therefore, by mainly using coke having a larger average particle size than the coke used in the lamination step S1 in the center charging step S2, it is possible to improve air permeability while suppressing an increase in manufacturing cost.
- the strength of the coke 31 deposited in the central portion M is equal to or greater than the strength of the coke 21 contained in the second layer 20, and the average particle diameter of the coke 31 deposited in the central portion M is included in the second layer 20. It is particularly preferable that it is equal to or greater than the average particle size of the coke 21 that is used.
- Lamination method Various methods can be used for lamination of the central layer 30, and there is no particular limitation as long as the ratio R, which will be described later, can be equal to or greater than a predetermined value ⁇ .
- a material charging device 2 of the Bell Armor type Specifically, a part of the central layer 30 (thickness corresponding to the thickness of the first layer 10 or the second layer 20 to be laminated immediately after) is placed in the central part M of the blast furnace 1 using the raw material charging device 2. should be laminated.
- the ratio R of the mass (ton/ch) of the coke 31 deposited in the central portion M to the mass (ton/ch) of the ore raw material 11 to be charged is set to a predetermined value ⁇ or more.
- the ratio R is the ratio of the total amount of coke 31 to the total amount of ore raw material 11 charged within one charge. It will point.
- the "mass of ore raw material to be charged” is mainly the ore raw material 11 of the first layer 10 charged in the stacking step S1, but also includes the ore raw material when other layers contain the ore raw material. That is, the "mass of ore raw material to be charged” is the total mass of ore raw material charged in one charge, regardless of its origin.
- the predetermined value ⁇ can be set to 0.017. By setting the predetermined value ⁇ to the above value in this manner, the air permeability can be easily ensured.
- the predetermined value ⁇ is preferably calculated by the following formula 1.
- the thickness of the central column is higher than the thickness of the first layer 10 in the vicinity of the center determined by the charging mass of the ore raw material 11 charged in one charge and the ore deposition inclination angle, that is, from the first layer 10 to the central portion. It is preferable to charge the coke 31 in the center charging step S2 so that the M coke 31 protrudes.
- the “ore deposition inclination angle” refers to the angle from the horizontal of the inclined surface of the ore deposition layer (first layer 10, etc.).
- the first layer 10 is generally laminated with an inclination so that the central portion M is lower.
- sintered ore and lump ore are amorphous and have a relatively wide particle size distribution
- iron ore pellets are spherical and have relatively uniform particle sizes. Therefore, the iron ore pellets are more likely to roll toward the central portion M than sintered ore and lump ore. Increasing the proportion of iron ore pellets tends to reduce the ore pile inclination angle. At this time, the first layer 10 tends to be flattened, and the central portion M becomes relatively thick.
- the ratio of iron ore pellets increases, the ratio of centrally charged coke 31 (ton/ch) to the ore raw material 11 (ton/ch) of the first layer 10 is increased, and coke 31 is relatively increased. More is better.
- the present inventors examined the correlation between the ratio P of iron ore pellets in the first layer 10 and the ore deposition inclination angle of the first layer 10. As a result, considering the ratio P of iron ore pellets in the first layer 10 It was concluded that by determining the predetermined value ⁇ based on Equation 1, it is possible to obtain an effect of improving air permeability with high accuracy.
- Step S3 hot air blown from the tuyeres 1a blows auxiliary fuel into the blast furnace while reducing and melting the ore raw material 11 of the first layer 10 stacked.
- the blast furnace operation is a continuous operation, and the reduction melting step S3 is continuously performed.
- the stacking step S1 and the center portion charging step S2 are intermittently performed, and in the reducing and dissolving step S3, depending on the conditions of the reducing and dissolving treatment of the first layer 10 and the second layer 20, a new reducing and dissolving step is performed.
- a first layer 10, a second layer 20 and a central layer 30 to be processed in step S3 are added.
- FIG. 2 shows the state in the reduction dissolution step S3.
- the hot air from the tuyere 1a forms a raceway A, which is a hollow portion in which the coke 21 is swirling and exists in a remarkably sparse state, in the vicinity of the tuyere 1a.
- the temperature of the raceway A is the highest and is about 2000°C.
- Adjacent to the raceway A there is a core B, which is a pseudo-stagnation zone of coke inside the blast furnace 1 .
- a dropping zone C Adjacent to the raceway A, there are a dropping zone C, a cohesive zone D and a massive zone E in this order.
- the temperature inside blast furnace 1 rises from the top toward raceway A. That is, the temperatures of the massive zone E, the cohesive zone D, and the dropping zone C are higher in this order. Become. Note that the temperature of the core B varies in the radial direction, and the temperature at the center of the core B may be lower than that of the dropping zone C in some cases.
- a cohesive zone D having an inverted V-shaped cross section is formed to ensure air permeability and reducing properties in the furnace.
- the iron ore raw material 11 is first subjected to temperature-rising reduction in the massive zone E.
- the cohesive zone D the ore reduced in the massive zone E softens and shrinks.
- the ore that has softened and shrunk descends to become dripping slag and moves to dripping zone C.
- the reduction dissolution step S3 the reduction of the ore raw material 11 proceeds mainly in the massive zone E, and the dissolution of the ore raw material 11 mainly occurs in the dripping zone C.
- the direct reduction in which the falling liquid iron oxide FeO directly reacts with the carbon of the coke 21 proceeds.
- the aggregate 11a containing the reduced iron compact exhibits an aggregate effect in the cohesive zone D. In other words, even when the ore softens and shrinks, the high-melting reduced iron molded body does not soften, and an air passage for reliably ventilating the hot air to the center of the blast furnace 1 is secured.
- molten iron F in which reduced iron is melted is deposited on the hearth, and molten slag G is deposited on top of the molten iron F.
- the molten iron F and molten slag G can be taken out from the tap hole 1b.
- the auxiliary fuel injected from the tuyeres 1a includes pulverized coal obtained by finely pulverizing coal to a particle size of about 50 ⁇ m, heavy oil, natural gas, and the like.
- the auxiliary fuel functions as a heat source, reducing agent and recarburizing agent. That is, among the roles played by the coke 21, it replaces roles other than the spacer.
- the coke 31 is charged into the center M of the blast furnace 1 for each charge of laminating the lamination unit including the first layer 10 and the second layer 20 in the lamination step S1.
- the ratio R of the mass (ton/ch) of the coke 31 deposited in the central portion M to the mass (ton/ch) of the ore raw material 11 to a predetermined value ⁇ or more, the ventilation of the hot air improved sexuality. Therefore, even if the amount of coke used is reduced, the necessary air permeability can be ensured, so the amount of coke can be further reduced.
- a method for producing pig iron according to another embodiment of the present invention is a method for producing pig iron using a blast furnace 1 having tuyeres 1a shown in FIG.
- a step of alternately laminating layers 10 and a second layer 20 containing coke 21 (lamination step), a step of charging coke 31 into the center M of the blast furnace 1 (center charging step), and a tuyere 1a a step of reducing and melting the ore raw material 11 of the stacked first layer 10 (reduction and melting step) while blowing auxiliary fuel into the blast furnace 1 with hot air blown from the
- the above-described center charging step is performed one or more times, and in one charge, the mass of ore raw material (ton
- the ratio R of the mass (ton/ch) of the coke 31 deposited in the central portion M to the mass (ton/ch) of the coke 31 is set to be equal to or greater than
- the stacking process, the center charging process, and the reduction melting process are the same as the stacking process S1, the center charging process S2, and the reduction melting process S3 of the first embodiment, so detailed descriptions thereof will be omitted.
- (learning process) In the learning process, at least the temperature and airflow of the hot air in a predetermined period from the time before the reference time to the reference time, the heat amount of the heat radiated from the furnace wall, the heat amount of the furnace wall, and the heat amount due to the solution loss reaction.
- Input data group including solution loss reaction amount, amount of residual iron, temperature of molten iron F, and ratio R, and output data including temperature data of molten iron F obtained in the reduction and melting process after the reference time
- the input data group includes the moisture content of the hot air, the coke ratio, the auxiliary fuel ratio (if the auxiliary fuel contains pulverized coal, ratio is preferred).
- the reference time is one point in the past, and the time prior to the reference time may be any point in time as long as it is past the reference time. Further, the time later than the reference time is at least the time before the current time. Therefore, the numerical values of the input data group and the output data group can all be actual measurement values. Further, it is also possible to change the reference time, that is, change the time separating the past data and the future data for a series of time-series data from the past time to the future time.
- the input data group also include data of future time (however, time past the present) from the reference time.
- the temperature of the molten iron F after the reference time which is the target of prediction, can be changed by particularly intentional control of the input data group after the reference time. Therefore, by using these data for learning of the artificial intelligence model, it is possible to create a highly accurate prediction model.
- the above input data group and the above output data group can be acquired by sensors installed in the blast furnace 1.
- sensors may be installed at different positions for the same type of input data, and the data may be acquired as position-dependent data.
- the input data group and the output data group which are actual values, are input to the artificial intelligence model as learning data.
- the artificial intelligence model is trained to predict the temperature data of the hot metal F in the future from the reference time from the input data group.
- an estimation model for predicting temperature data of hot metal F is constructed.
- a known estimation technique related to machine learning (AI) can be used to construct the estimation model.
- the building means can learn the correlation between the input data group and the output data group to build an estimation model.
- machine learning it is preferable to use deep learning using a multi-layered neural network.
- the input data group acquired in the acquisition process described later and the actual values of the output data group corresponding to the input data group are used as inputs for the learning process.
- the prediction accuracy of the artificial intelligence model can increase
- the input data group is obtained using the current time as the reference time.
- the input data group can be obtained by the same method as that for obtaining the input data group used in the learning step, for example, using the same sensor.
- the input data group obtained in the obtaining step is input to the trained artificial intelligence model using the current time as a reference time.
- the future time from the reference time is the future time in the real world, and the molten iron F is predicted in the estimation step described later. will be the future temperature to come.
- the artificial intelligence model that has been trained is made to estimate the future temperature of the hot metal F. Since the artificial intelligence model is a learned model, it is possible to accurately estimate the temperature of the molten iron F in the future.
- control process In the control step, based on the temperature of the hot metal F estimated in the estimation step, the set values of the items included in the input data group are changed.
- the ratio R is set too large, the temperature of the molten pig iron may drop and cooling may occur. Therefore, it is important to estimate the temperature of the hot metal F in the future and appropriately control it so as to avoid cooling.
- the temperature of the hot metal F when a decrease in the temperature of the hot metal F is predicted, for example, from the temperature of the hot air, the air flow rate, the moisture content, the coke ratio, the pulverized coal ratio, the ratio R, etc., the temperature of the hot metal F
- the artificial intelligence model can be made to estimate and control parameters that can effectively avoid a drop in temperature (cooling). In particular, it is preferable to control so that the ratio R does not become too high.
- the above control process is not an essential process and can be omitted.
- the artificial intelligence model only estimates the temperature of the hot metal F. Based on the estimated result, the operator considers and implements specific countermeasures.
- the temperature of the hot metal F is estimated using the learned artificial intelligence model as described above, and the actual values of the input data group acquired in the acquisition process and the output data group corresponding to this input data group
- the temperature of the molten iron F can be controlled with high accuracy based on the above ratio R. Therefore, blast furnace operation can be stably continued.
- the pig iron manufacturing method may include other steps.
- the method for producing pig iron may comprise a step of pulverizing coal and powder derived from reduced iron compacts.
- the fine powder obtained in the pulverization step is preferable to include the fine powder obtained in the pulverization step as the auxiliary fuel.
- a portion of the reduced iron compact is crushed during the transportation process or the like to become powder. Since such powder reduces the air permeability in the blast furnace, it is not suitable for use as the first layer.
- this powder has a large specific surface area, it is re-oxidized into iron oxide. Air permeability can be improved by blowing supplementary fuel containing iron oxide through the tuyeres.
- the powder derived from the reduced iron compact is pulverized together with coal, and the finely pulverized powder and the fine powder containing the coal are used as auxiliary fuel for blowing through the tuyeres, thereby effectively utilizing the reduced iron compact. can be achieved, and the air permeability in the blast furnace can be improved.
- a bell-less system can be cited as such another system.
- a revolving chute is used, and stacking can be performed while adjusting the angle of the chute.
- the center charging step may be performed continuously before and after lamination of the second layer. For example, as the second layer approaches the center, the amount of coke is gradually increased and the center charging process is performed continuously, or the coke amount is gradually decreased following the center charging process.
- a method of laminating the second layer continuously may be employed.
- the input data group acquired in the acquisition process and the actual values of the output data group corresponding to this input data group are used as inputs for the learning process. It is also possible to adopt a configuration that is not used for process input. In other words, the artificial intelligence model once constructed in the learning process may continue to be used without additional learning.
- the ratio R in the control process it was mentioned that it is preferable to control the ratio R in the control process so that it does not become too high.
- a method of controlling based on the future temperature of the molten iron F estimated in the estimation process has been described, but it may be based on other parameters, for example, the temperature of the molten iron F in real time. That is, the method for producing pig iron may include a control step of controlling the ratio R so as to avoid a drop in the temperature of the molten pig iron.
- the total K value is expressed by Equation 2 below, where top pressure P 1 (kPa), blast pressure P 2 (kPa), and bosh gas amount BOSH (Nm 3 /min) are used.
- top pressure P 1 (kPa) top pressure
- blast pressure P 2 (kPa) blast pressure
- bosh gas amount BOSH bosh gas amount
- FIG. 6 shows the blast furnace burden distribution experiment device 8 used in this experiment.
- a blast furnace charge distribution experimental device 8 shown in FIG. 6 is a two-dimensional slice cold model simulating a Bell Armor type material charging device on a scale of 1/10.7.
- the size of the blast furnace burden distribution experimental apparatus 8 is 1450 mm in height (length of L1 in FIG. 8), 580 mm in width (length of L2 in FIG. 8), and 100 mm in depth (length in the vertical direction is).
- blast furnace charge distribution experimental device 8 Each component of the blast furnace charge distribution experimental device 8 is given the same number as the corresponding component of the same function of the bell armor type material charging device 2 in FIG. Since the functions are the same, detailed description is omitted. Further, the blast furnace charge distribution experiment apparatus 8 has a central charging chute 8a for charging coke simulating central charging, as shown in FIG.
- a coke layer 81 serving as a base, a center charged coke layer 82 and an ore layer 83 were charged in order into this blast furnace charge distribution experimental device 8, and then an experimental layer 84, which is an ore layer, was charged.
- the raw materials used for charging the experimental layer 84 are sintered ore and lump ore simulating sintered ore (particle size 2.8 to 4.0 mm), iron ore pellet simulating alumina balls ( ⁇ 2 mm), and lump coke. Coke (particle size 8.0 to 9.5 mm) simulating The raw material was scaled to 2/11.2.
- each operation data is R ⁇ 0.017 ⁇ (0.001 ⁇ P + 0.97) and R ⁇ 0.017 ⁇ (0.001 ⁇ P + 0.97) , and plotted the relationship between the coke ratio and the total K value. The results are shown in FIG.
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Manufacture Of Iron (AREA)
Abstract
Description
α=0.017×(0.001×P+0.97) ・・・1
図1に示す銑鉄製造方法は、図2に示す高炉1を用いて銑鉄を製造する銑鉄製造方法であり、積層工程S1と、中心部装入工程S2と、還元溶解工程S3とを備える。
高炉1は、図2に示すように、炉下部に設けられた羽口1aと、出銑口1bとを有する。羽口1aは通常複数設けられる。高炉1は、固気向流型のシャフト炉であり、高温の空気に、必要に応じて高温又は常温の酸素を加えた熱風を羽口1aから炉内に吹き込んで、後述する鉱石原料11の還元及び溶融等の一連の反応を行い、出銑口1bから銑鉄を取り出すことができる。また、高炉1には、ベル・アーマー方式の原料装入装置2が装備されている。この原料装入装置2については、後述する。
積層工程S1では、図2に示すように、高炉1内に第1層10と第2層20とを交互に積層する。つまり、第1層10及び第2層20の層数は、それぞれ2以上である。
第1層10は、鉱石原料11を含む。鉱石原料11は、還元溶解工程S3で羽口1aより吹き込まれる熱風により昇温還元されて溶銑Fとなる。
第2層20はコークス21を含む。
第1層10及び第2層20を交互に積層する方法は、種々の方法を用いることができる。ここでは、図2に示すようなベル・アーマー方式の原料装入装置2(以下、単に「原料装入装置2」ともいう)を搭載した高炉1を例にとり、その方法について説明する。
中心部装入工程S2では、高炉1の中心部Mにコークス31を装入する。このコークス31の装入により、図2に示すように中心層30が形成される。なお、中心部Mへはコークス31のみではなく、例えば少量の鉱石原料等を混合して装入してもよい。
コークス31は、第2層20のコークス21と同一の性状を持つものを使用することもできるが、異なる性状を持つものを使用することもできる。異なる性状のものを使用する場合、中心部Mに堆積するコークス31の強度が、第2層20に含まれるコークス21の強度以上であることが好ましい。通気性の観点からはコークスの強度が高い方が好ましいが、一方で強度の高いコークスは一般に高価であり、製造コストの上昇につながる。このため、強度の高いコークスを主として中心装入に用いることで、製造コストの上昇を抑止しつつ、通気性の改善を図ることができる。なお、「中心部に堆積するコークス」は、主として中心部装入工程S2で装入されるコークスであるが、例えば第2層を積層した際に、転動等によりコークスが中心部に堆積した場合、このコークスは中心部に堆積するコークスに含める。即ち、「中心部に堆積するコークス」は、1チャージの装入後に中心部に堆積したコークスであり、その起源は問わない。ここで、中心部Mに堆積するコークス31の強度が、第2層20に含まれるコークス21の強度以上であるためには、中心部装入工程で装入されるコークス31が第2層20に含まれるコークス21より強度が大きいことと同等である。第2層20のコークス21が転動等により中心部Mに堆積した場合、このコークスは第2層20のコークス21と強度が同じとみなせる。
中心層30の積層は、種々の方法を用いることができ、後述する比率Rを所定値α以上とできる限り、特に限定されるものではないが、例えば第1層10及び第2層20と同様にベル・アーマー方式の原料装入装置2を用いて行うことができる。具体的には、原料装入装置2を用いて高炉1の中心部Mに中心層30の一部(直後に積層する第1層10又は第2層20の厚さに相当する厚さ分)を積層するとよい。
α=0.017×(0.001×P+0.97) ・・・1
還元溶解工程S3では、羽口1aから送風する熱風により補助燃料を高炉内へ吹込みつつ、積層された第1層10の鉱石原料11を還元及び溶解する。なお、高炉操業は連続操業であり、還元溶解工程S3は連続して行われている。一方、積層工程S1及び中心部装入工程S2は間欠的に行われており、還元溶解工程S3で第1層10及び第2層20の還元及び溶解処理の状況に応じて、新たに還元溶解工程S3で処理すべき第1層10、第2層20及び中心層30が追加されていく。
当該銑鉄製造方法では、積層工程S1の第1層10及び第2層20を合わせた積層単位を積層する1チャージ毎に高炉1の中心部Mにコークス31を装入することで、高炉1の中心部Mにおける熱風の流れを容易に確保する。また、上記1チャージで、鉱石原料11の質量(ton/ch)に対する中心部Mに堆積するコークス31の質量(ton/ch)の比率Rを所定値α以上とすることで、上記熱風の通気性が改善される。このため、コークスの使用量を低減しても、必要な通気性を確保することができるから、コークス量をさらに低減することができる。
本発明の別の実施形態に係る銑鉄製造方法は、図2に示す羽口1aを有する高炉1を用いて銑鉄を製造する銑鉄製造方法であって、高炉1内に鉱石原料11を含む第1層10とコークス21を含む第2層20とを交互に積層する工程(積層工程)と、高炉1の中心部Mにコークス31を装入する工程(中心部装入工程)と、羽口1aから送風する熱風により補助燃料を高炉1内へ吹込みつつ、積層された第1層10の鉱石原料11を還元及び溶解する工程(還元溶解工程)とを備え、上記積層工程で、1つの第1層10及び1つの第2層20を合わせた積層単位を積層する1チャージの間に、1又は複数回の上記中心部装入工程が行われ、上記1チャージで、鉱石原料の質量(ton/ch)に対する中心部Mに堆積するコークス31の質量(ton/ch)の比率Rを所定値α以上とする。また、当該銑鉄製造方法は、学習工程と、取得工程と、入力工程と、推定工程と、制御工程とを備える。
上記学習工程は、基準時刻より過去の時刻から上記基準時刻までの所定期間の少なくとも上記熱風の温度及び送風量、炉壁から放射される熱の熱量である炉壁抜熱量、ソリューションロス反応による熱量であるソリューションロス反応量、残銑量、溶銑Fの温度並びに上記比率Rを含む入力データ群と、上記基準時刻より未来の上記還元及び溶解する工程で得られる溶銑Fの温度データを含む出力データ群との実績値を学習データとして人工知能モデルに入力し、上記入力データ群から上記基準時刻より未来の上記溶銑Fの温度データを予測するよう人工知能モデルに学習させる工程である。
上記取得工程では、現在時刻を上記基準時刻として上記入力データ群を取得する。具体的には、上記学習工程で用いた上記入力データ群を取得した方法と同じ方法、例えば同じセンサを用いて上記入力データ群を取得することができる。
上記入力工程では、上記取得工程で取得した上記入力データ群を、学習済みの上記人工知能モデルに現在時刻を基準時刻として入力する。上記入力工程では、その基準時刻を現在時刻として上記人工知能モデルを用いるので、上記基準時刻より未来の時刻は、現実の世界においても未来の時刻であり、後述する推定工程で予測される溶銑Fの温度は、来るべき未来の温度となる。
上記推定工程では、学習済みの上記人工知能モデルに未来の溶銑Fの温度を推定させる。上記人工知能モデルは学習済みのモデルであるから、未来の溶銑Fの温度を精度よく推定することができる。
上記制御工程では、上記推定工程で推定した溶銑Fの温度に基づいて、上記入力データ群に含まれる項目の設定値を変更する。特に当該銑鉄製造方法では、比率Rを大きく取り過ぎると、溶銑温度が低下し冷え込みが発生するおそれがある。このため、未来の溶銑Fの温度を推定させ、冷え込みを避けるように適切に制御することが重要である。
当該溶銑製造方法では、このように学習済みの人工知能モデルを用いて溶銑Fの温度を推定するとともに、取得する工程で取得した入力データ群とこの入力データ群に対応する出力データ群の実績値とを用いて追加学習することで、上記比率Rに基づいて高い精度で溶銑Fの温度を管理することができる。従って、高炉操業を安定して継続することができる。
なお、本発明は、上記実施形態に限定されるものではない。
操業中の高炉の操業データを用いて、高炉の1チャージでの鉱石原料の質量(ton/ch)に対する上記中心部に堆積するコークスの質量(ton/ch)の比率Rと、全K値との関係を調べた。
全K値=-0.0042×塊コークス比+3.8054 ・・・3
の関係があるから、この式3に従って、塊コークス比=270kg/tpのときの値に全K値を補正し(補正全K値)、この補正全K値と比率Rとの関係を求めた。結果を図4に示す。なお、「塊コークス」とは、通気性確保を目的とする篩上の大粒径のコークスを指す。
まず、鉄鉱石ペレットの割合Pが鉱石堆積傾斜角θに与える影響を実験した。
1a 羽口
1b 出銑口
2 原料装入装置
2a ベルカップ
2b 下ベル
2c アーマー
10 第1層
11 鉱石原料
11a 骨材
11b 骨材を除く鉱石原料
12 滴下スラグ
20 第2層
21 コークス
30 中心層
31 コークス
8 高炉装入物分布実験装置
8a 中心装入シュート
81 コークス層
82 中心コークス層
83 鉱石層
84 実験層
A レースウェイ
B 炉芯
C 滴下帯
D 融着帯
E 塊状帯
F 溶銑
G 溶融スラグ
M 中心部
Claims (6)
- 羽口を有する高炉を用いて銑鉄を製造する銑鉄製造方法であって、
上記高炉内に鉱石原料を含む第1層とコークスを含む第2層とを交互に積層する工程と、
上記高炉の中心部にコークスを装入する工程と、
上記羽口から送風する熱風により補助燃料を高炉内へ吹込みつつ、積層された上記第1層の上記鉱石原料を還元及び溶解する工程と
を備え、
上記積層する工程で、1つの上記第1層及び1つの上記第2層を合わせた積層単位を積層する1チャージの間に、1又は複数回の上記装入する工程が行われ、
上記1チャージで、装入する鉱石原料の質量(ton/ch)に対する上記中心部に堆積するコークスの質量(ton/ch)の比率Rを所定値α以上とする銑鉄製造方法。 - 上記所定値αが0.017である請求項1に記載の銑鉄製造方法。
- 上記第1層の鉱石原料が、鉄鉱石ペレットを含み、
上記第1層の上記鉱石原料における上記鉄鉱石ペレットの割合をP(質量%)とするとき、
上記所定値αが下記式1で算出される請求項1に記載の銑鉄製造方法。
α=0.017×(0.001×P+0.97) ・・・1 - 上記中心部に堆積するコークスの強度が、上記第2層に含まれるコークスの強度以上である請求項1、請求項2又は請求項3に記載の銑鉄製造方法。
- 上記中心部に堆積するコークスの平均粒径が、上記第2層に含まれるコークスの平均粒径以上である請求項1、請求項2又は請求項3に記載の銑鉄製造方法。
- 基準時刻より過去の時刻から上記基準時刻までの所定期間の少なくとも上記熱風の温度及び送風量、ソリューションロス反応量、炉壁抜熱量、残銑量、溶銑の温度並びに上記比率Rを含む入力データ群と、上記基準時刻より未来の上記還元及び溶解する工程で得られる溶銑の温度データを含む出力データ群との実績値を学習データとして人工知能モデルに入力し、上記入力データ群から上記基準時刻より未来の上記溶銑の温度データを予測するよう人工知能モデルに学習させる工程と、
現在時刻を上記基準時刻として上記入力データ群を取得する工程と、
上記取得する工程で取得した上記入力データ群を、学習済みの上記人工知能モデルに現在時刻を基準時刻として入力する工程と、
学習済みの上記人工知能モデルに未来の上記溶銑の温度を推定させる工程と
を備え、
上記取得する工程で取得した上記入力データ群と、この入力データ群に対応する上記出力データ群の実績値とを上記学習させる工程の入力に用いる請求項1、請求項2又は請求項3に記載の銑鉄製造方法。
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US18/551,436 US20240167111A1 (en) | 2021-03-31 | 2021-05-11 | Method for producing pig iron |
KR1020237032801A KR20230150992A (ko) | 2021-03-31 | 2021-05-11 | 선철 제조 방법 |
CN202180095816.5A CN116997666A (zh) | 2021-03-31 | 2021-05-11 | 生铁制造方法 |
EP21935062.6A EP4317462A1 (en) | 2021-03-31 | 2021-05-11 | Pig iron production method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2021-061042 | 2021-03-31 | ||
JP2021061042A JP2022157040A (ja) | 2021-03-31 | 2021-03-31 | 銑鉄製造方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022208902A1 true WO2022208902A1 (ja) | 2022-10-06 |
Family
ID=83457589
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2021/017806 WO2022208902A1 (ja) | 2021-03-31 | 2021-05-11 | 銑鉄製造方法 |
Country Status (6)
Country | Link |
---|---|
US (1) | US20240167111A1 (ja) |
EP (1) | EP4317462A1 (ja) |
JP (1) | JP2022157040A (ja) |
KR (1) | KR20230150992A (ja) |
CN (1) | CN116997666A (ja) |
WO (1) | WO2022208902A1 (ja) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6056003A (ja) | 1983-09-02 | 1985-04-01 | Kobe Steel Ltd | 高炉へのコ−クス装入方法 |
JPH01290709A (ja) * | 1988-05-18 | 1989-11-22 | Sumitomo Metal Ind Ltd | 高炉操業方法 |
JPH1088208A (ja) * | 1997-07-22 | 1998-04-07 | Sumitomo Metal Ind Ltd | ベルレス式高炉装入物の装入方法 |
JPH11286706A (ja) * | 1998-04-02 | 1999-10-19 | Nippon Steel Corp | 高炉操業方法 |
JP2019127628A (ja) * | 2018-01-25 | 2019-08-01 | 株式会社神戸製鋼所 | 高炉の原料装入方法 |
-
2021
- 2021-03-31 JP JP2021061042A patent/JP2022157040A/ja active Pending
- 2021-05-11 WO PCT/JP2021/017806 patent/WO2022208902A1/ja active Application Filing
- 2021-05-11 CN CN202180095816.5A patent/CN116997666A/zh active Pending
- 2021-05-11 US US18/551,436 patent/US20240167111A1/en active Pending
- 2021-05-11 KR KR1020237032801A patent/KR20230150992A/ko unknown
- 2021-05-11 EP EP21935062.6A patent/EP4317462A1/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6056003A (ja) | 1983-09-02 | 1985-04-01 | Kobe Steel Ltd | 高炉へのコ−クス装入方法 |
JPH01290709A (ja) * | 1988-05-18 | 1989-11-22 | Sumitomo Metal Ind Ltd | 高炉操業方法 |
JPH1088208A (ja) * | 1997-07-22 | 1998-04-07 | Sumitomo Metal Ind Ltd | ベルレス式高炉装入物の装入方法 |
JPH11286706A (ja) * | 1998-04-02 | 1999-10-19 | Nippon Steel Corp | 高炉操業方法 |
JP2019127628A (ja) * | 2018-01-25 | 2019-08-01 | 株式会社神戸製鋼所 | 高炉の原料装入方法 |
Also Published As
Publication number | Publication date |
---|---|
KR20230150992A (ko) | 2023-10-31 |
CN116997666A (zh) | 2023-11-03 |
US20240167111A1 (en) | 2024-05-23 |
EP4317462A1 (en) | 2024-02-07 |
JP2022157040A (ja) | 2022-10-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP4317580B2 (ja) | 還元鉄ペレットの製造方法及び銑鉄の製造方法 | |
JP5053305B2 (ja) | 銑鉄の製造方法 | |
CN104388612B (zh) | 一种高炉低成本钛矿护炉方法 | |
WO2022208902A1 (ja) | 銑鉄製造方法 | |
JP7339222B2 (ja) | 銑鉄製造方法 | |
JP2018024914A (ja) | 高炉への原料装入方法 | |
WO2022259563A1 (ja) | 銑鉄製造方法及び鉱石原料 | |
JP4047422B2 (ja) | 竪型炉の操業方法 | |
JP6219266B2 (ja) | 高炉のメタリック原料装入方法 | |
JP2015178660A (ja) | 高炉の原料装入方法 | |
WO2022201562A1 (ja) | 銑鉄製造方法 | |
TOYOTA et al. | Decreasing Coke Rate under All-Pellet Operation in Kobe No. 3 Blast Furnace | |
JP2021121689A (ja) | ベル・アーマー方式の高炉における鉱石層崩れ量の推定方法 | |
JP4005682B2 (ja) | 竪型炉の操業方法 | |
JPH11209810A (ja) | 竪型炉の操業方法 | |
JP4005683B2 (ja) | 粉状廃棄物を処理する竪型炉操業方法 | |
JP2921392B2 (ja) | 高炉の操業方法 | |
JPH0978110A (ja) | 高炉の操業方法 | |
JP2019127615A (ja) | 高炉の原料装入方法 | |
JPH11217605A (ja) | 高炉への装入物装入方法 | |
JP2000212613A (ja) | 高炉の装入物分布制御方法 | |
JP2000282111A (ja) | 低Si溶銑の製造方法 | |
JP2000282108A (ja) | 高炉の操業方法 | |
JP2003239007A (ja) | 金属含有物からの還元金属の製造方法 | |
JPH11217604A (ja) | 高炉への装入物装入方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21935062 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 202180095816.5 Country of ref document: CN |
|
WWE | Wipo information: entry into national phase |
Ref document number: 18551436 Country of ref document: US |
|
ENP | Entry into the national phase |
Ref document number: 20237032801 Country of ref document: KR Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2021935062 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2023127075 Country of ref document: RU |
|
ENP | Entry into the national phase |
Ref document number: 2021935062 Country of ref document: EP Effective date: 20231027 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |