CN117070861A - Ultra-low oxygen high-purity austenitic stainless steel and preparation process thereof - Google Patents
Ultra-low oxygen high-purity austenitic stainless steel and preparation process thereof Download PDFInfo
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- 229910052760 oxygen Inorganic materials 0.000 title claims abstract description 100
- 239000001301 oxygen Substances 0.000 title claims abstract description 99
- 229910000963 austenitic stainless steel Inorganic materials 0.000 title claims abstract description 74
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 title claims description 96
- 238000002360 preparation method Methods 0.000 title abstract description 18
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 192
- 239000010959 steel Substances 0.000 claims abstract description 192
- 238000000034 method Methods 0.000 claims abstract description 36
- 230000008569 process Effects 0.000 claims abstract description 31
- 229910052717 sulfur Inorganic materials 0.000 claims abstract description 23
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims abstract description 22
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims abstract description 22
- 229910052698 phosphorus Inorganic materials 0.000 claims abstract description 22
- 239000011574 phosphorus Substances 0.000 claims abstract description 22
- 239000011593 sulfur Substances 0.000 claims abstract description 22
- 238000005266 casting Methods 0.000 claims abstract description 21
- 238000004519 manufacturing process Methods 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000003756 stirring Methods 0.000 claims description 60
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 51
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 51
- 229910052799 carbon Inorganic materials 0.000 claims description 47
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 46
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 42
- 229910052710 silicon Inorganic materials 0.000 claims description 42
- 239000010703 silicon Substances 0.000 claims description 42
- 238000007664 blowing Methods 0.000 claims description 36
- 238000005261 decarburization Methods 0.000 claims description 35
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 claims description 32
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 30
- 238000001556 precipitation Methods 0.000 claims description 28
- 238000007670 refining Methods 0.000 claims description 26
- 239000002994 raw material Substances 0.000 claims description 21
- XKRFYHLGVUSROY-UHFFFAOYSA-N Argon Chemical compound [Ar] XKRFYHLGVUSROY-UHFFFAOYSA-N 0.000 claims description 20
- 238000006477 desulfuration reaction Methods 0.000 claims description 19
- 230000023556 desulfurization Effects 0.000 claims description 19
- 229910052804 chromium Inorganic materials 0.000 claims description 17
- 239000011651 chromium Substances 0.000 claims description 17
- 229910052739 hydrogen Inorganic materials 0.000 claims description 17
- 230000007246 mechanism Effects 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 claims description 17
- 239000001257 hydrogen Substances 0.000 claims description 16
- 229910052750 molybdenum Inorganic materials 0.000 claims description 16
- 229910052759 nickel Inorganic materials 0.000 claims description 16
- 239000000126 substance Substances 0.000 claims description 16
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 claims description 15
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 15
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 claims description 15
- BUGBHKTXTAQXES-UHFFFAOYSA-N Selenium Chemical compound [Se] BUGBHKTXTAQXES-UHFFFAOYSA-N 0.000 claims description 15
- 229910052802 copper Inorganic materials 0.000 claims description 15
- 239000010949 copper Substances 0.000 claims description 15
- 239000012535 impurity Substances 0.000 claims description 15
- 229910052742 iron Inorganic materials 0.000 claims description 15
- 239000011733 molybdenum Substances 0.000 claims description 15
- 229910052758 niobium Inorganic materials 0.000 claims description 15
- 239000010955 niobium Substances 0.000 claims description 15
- GUCVJGMIXFAOAE-UHFFFAOYSA-N niobium atom Chemical compound [Nb] GUCVJGMIXFAOAE-UHFFFAOYSA-N 0.000 claims description 15
- 229910052711 selenium Inorganic materials 0.000 claims description 15
- 239000011669 selenium Substances 0.000 claims description 15
- 150000002431 hydrogen Chemical class 0.000 claims description 14
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 claims description 14
- 238000012706 support-vector machine Methods 0.000 claims description 12
- 239000013598 vector Substances 0.000 claims description 12
- 238000004062 sedimentation Methods 0.000 claims description 11
- 229910052786 argon Inorganic materials 0.000 claims description 10
- 230000006870 function Effects 0.000 claims description 10
- 230000009467 reduction Effects 0.000 claims description 10
- 235000008733 Citrus aurantifolia Nutrition 0.000 claims description 9
- 235000011941 Tilia x europaea Nutrition 0.000 claims description 9
- WUKWITHWXAAZEY-UHFFFAOYSA-L calcium difluoride Chemical compound [F-].[F-].[Ca+2] WUKWITHWXAAZEY-UHFFFAOYSA-L 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000009749 continuous casting Methods 0.000 claims description 9
- 230000001276 controlling effect Effects 0.000 claims description 9
- 230000007547 defect Effects 0.000 claims description 9
- 239000010436 fluorite Substances 0.000 claims description 9
- 238000000227 grinding Methods 0.000 claims description 9
- 239000004571 lime Substances 0.000 claims description 9
- 238000005554 pickling Methods 0.000 claims description 9
- 238000009628 steelmaking Methods 0.000 claims description 9
- 238000005728 strengthening Methods 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 230000000694 effects Effects 0.000 claims description 8
- 238000012417 linear regression Methods 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 4
- 230000003068 static effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000006872 improvement Effects 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 2
- 230000001105 regulatory effect Effects 0.000 claims description 2
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 claims 1
- 229910052748 manganese Inorganic materials 0.000 claims 1
- 239000011572 manganese Substances 0.000 claims 1
- 229910001220 stainless steel Inorganic materials 0.000 abstract description 10
- 239000010935 stainless steel Substances 0.000 abstract description 10
- 239000000463 material Substances 0.000 abstract description 8
- 230000008901 benefit Effects 0.000 abstract description 5
- 238000005520 cutting process Methods 0.000 abstract description 5
- 238000009826 distribution Methods 0.000 abstract description 4
- 150000003568 thioethers Chemical class 0.000 abstract 1
- 239000002893 slag Substances 0.000 description 6
- 238000007599 discharging Methods 0.000 description 4
- 238000003723 Smelting Methods 0.000 description 3
- 150000004763 sulfides Chemical class 0.000 description 3
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 229910001566 austenite Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 229910001026 inconel Inorganic materials 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000005482 strain hardening Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22C—ALLOYS
- C22C38/00—Ferrous alloys, e.g. steel alloys
- C22C38/18—Ferrous alloys, e.g. steel alloys containing chromium
- C22C38/40—Ferrous alloys, e.g. steel alloys containing chromium with nickel
- C22C38/44—Ferrous alloys, e.g. steel alloys containing chromium with nickel with molybdenum or tungsten
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/001—Continuous casting of metals, i.e. casting in indefinite lengths of specific alloys
- B22D11/002—Stainless steels
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/04—Continuous casting of metals, i.e. casting in indefinite lengths into open-ended moulds
- B22D11/045—Continuous casting of metals, i.e. casting in indefinite lengths into open-ended moulds for horizontal casting
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- 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
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/04—Removing impurities by adding a treating agent
- C21C7/06—Deoxidising, e.g. killing
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- 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
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/04—Removing impurities by adding a treating agent
- C21C7/064—Dephosphorising; Desulfurising
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- 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
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/04—Removing impurities by adding a treating agent
- C21C7/068—Decarburising
- C21C7/0685—Decarburising of stainless steel
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- 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
- C21C7/00—Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
- C21C7/10—Handling in a vacuum
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22C—ALLOYS
- C22C38/00—Ferrous alloys, e.g. steel alloys
- C22C38/004—Very low carbon steels, i.e. having a carbon content of less than 0,01%
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- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22C—ALLOYS
- C22C38/00—Ferrous alloys, e.g. steel alloys
- C22C38/02—Ferrous alloys, e.g. steel alloys containing silicon
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- C22C38/04—Ferrous alloys, e.g. steel alloys containing manganese
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- C22C—ALLOYS
- C22C38/00—Ferrous alloys, e.g. steel alloys
- C22C38/18—Ferrous alloys, e.g. steel alloys containing chromium
- C22C38/40—Ferrous alloys, e.g. steel alloys containing chromium with nickel
- C22C38/42—Ferrous alloys, e.g. steel alloys containing chromium with nickel with copper
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- C22C38/18—Ferrous alloys, e.g. steel alloys containing chromium
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- C22C38/60—Ferrous alloys, e.g. steel alloys containing lead, selenium, tellurium, or antimony, or more than 0.04% by weight of sulfur
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- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
- C21D2211/00—Microstructure comprising significant phases
- C21D2211/001—Austenite
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Abstract
The invention provides an extremely-low-oxygen high-purity austenitic stainless steel and a preparation process thereof, which belong to the technical field of stainless steel casting, and the high-purity austenitic stainless steel and the preparation method thereof, wherein the austenitic stainless steel prepared by a vacuum process improves the morphology and distribution of sulfides by adjusting the components of molten steel, improves the hot processing performance of materials and improves the purity of smelted molten steel, so that the high-purity austenitic stainless steel is obtained; the preparation method of the stainless steel production process has the advantages of simplified production flow process, high efficiency, energy saving, and control of sulfur content below 0.025 and phosphorus content below 0.0035. It is possible to produce an austenitic stainless steel free of cutting and having a high surface quality.
Description
Technical Field
The invention belongs to the technical field of special stainless steel casting, and particularly relates to ultra-low-oxygen high-purity austenitic stainless steel and a preparation process thereof.
Background
Austenitic stainless steel refers to stainless steel having an austenitic structure at ordinary temperature. The steel contains about 18% Cr, 8% -25% Ni and about 0.1% C, and has a stable austenite structure. Austenitic inconel steels include the well-known 18Cr-8Ni steels and the high Cr-Ni series steels developed by adding Cr, ni content and Mo, cu, si, nb elements on this basis. Austenitic stainless steel is non-magnetic and has high toughness and plasticity, but has low strength, cannot be strengthened by phase transformation, can be strengthened only by cold working, and has good free cutting property if elements such as S, ca, se, te are added.
The high-purity austenitic stainless steel is one of main materials used in the manufacturing industry of third-generation semiconductor equipment, all China imports from Japan at present, the ultra-purity austenitic stainless steel is mainly used in semiconductor equipment at a low temperature process, the purity of the material is required to be very high, the requirement on A, B, C, D class slag inclusion of the material is zero, only class D slag inclusion is allowed to be less than 0.5 level, the content of the material H, O is extremely strictly controlled, and the hydrogen and oxygen contents are respectively H < 1 ppm and O < 5 ppm. This technique mainly requires that the normal smelting process is uncontrollable.
Disclosure of Invention
The invention aims to provide an extremely-low-oxygen high-purity austenitic stainless steel and a preparation process thereof, and aims to solve the problem that the smelting process in the prior art cannot prepare the high-purity austenitic stainless steel.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.005-0.01 part of carbon, 0.1-0.6 part of silicon, 0.8-1.5 part of manganese, less than or equal to 0.03 part of phosphorus, 0.002-0.005 part of sulfur, 17-18 parts of chromium, 13.3-14.1 parts of nickel, 2.5-3.3 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
As a preferable scheme of the invention, the invention comprises the following chemical raw materials in parts by weight: 0.13-0.27 part of carbon, 0.18-0.58 part of silicon, 0.9-1.4 part of manganese, less than or equal to 0.03 part of phosphorus, 0.0025-0.0045 part of sulfur, 17.2-17.8 parts of chromium, 13.4-14 parts of nickel, 2.53-3.2 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
As a preferable scheme of the invention, the invention comprises the following chemical raw materials in parts by weight: 0.17-0.23 part of carbon, 0.25-0.5 part of silicon, 1.1-1.3 part of manganese, less than or equal to 0.03 part of phosphorus, 0.003-0.004 part of sulfur, 17.4-17.6 parts of chromium, 13.6-13.8 parts of nickel, 2.58-2.824 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
As a preferable scheme of the invention, the invention comprises the following chemical raw materials in parts by weight: 0.021 part of carbon, 0.44 part of silicon, 1.228 part of manganese, 0.0033 part of phosphorus, 00.0034 parts of sulfur, 17.56 parts of chromium, 13.73 parts of nickel, 2.628 parts of molybdenum, less than or equal to 0.0033 part of copper, less than or equal to 0.0095 part of niobium, less than or equal to 0.0005 part of selenium, less than or equal to 0.7 part of hydrogen, 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of ultra-low oxygen high-purity austenitic stainless steel comprises the following steps:
S1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, regulating the components of the molten steel, and then stirring, deslagging and static precipitation treatment on the molten steel through a treatment mechanism;
s2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, oxygen is blown from an oxygen lance at the top of the converter, at the moment, silicon is oxidized first, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
s3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity austenitic stainless steel.
As a preferable mode of the present invention, in the step S1, the composition adjustment of the molten steel in the refining furnace includes decarburization, desulfurization, dephosphorization, deleading and reduction, and the full Al deoxidization is performed to make the molten steel: c is less than 0.3ppm, S is less than 0.6ppm, and P is less than 0.03ppm.
As a preferable mode of the present invention, in the step S1, the full Ar denitrification treatment is performed in the operation of stirring, deslagging and stationary precipitation treatment of molten steel.
As a preferable scheme of the invention, in the step S1, before molten steel is added into a refining furnace, the influence of different components on the molten steel is predicted by a support vector machine, and the component proportion in the molten steel is adjusted according to the prediction result so as to obtain better molten steel quality, and the concrete process is as follows:
1.1, before molten steel is added into a refining furnace, detecting molten steel components through a sensor, transmitting the molten steel components to a support vector machine algorithm built in a controller to predict the influence of different components on the molten steel, monitoring the content of various components in the molten steel, recording, and simultaneously recording the change condition of the molten steel quality under different conditions;
1.2, according to the collected data, a prediction model of component adjustment can be established, and a support vector machine algorithm is adopted to establish a nonlinear relation between each component in molten steel and a target value;
Assuming that there are n components in the molten steel, A1, A2, an, where Ai represents the content of the i-th component, the following model is established:
y = w0 + w1 * A1 + w2 * A2 + ... + wn * An
wherein w0 is an intercept term, w1, w2, & gt, and wn are linear coefficients between each component and a target value, and the optimal values of w0, w1, w2, & gt, and wn can be obtained through a training data set; the support vector machine model is:
in f (x) = < w, y > +b, the symbol < w, y > represents the inner product of vector w and vector y, b is a constant, the inner product is the operation of projecting the two vectors onto each other, the result is a scalar, b is the bias term, which plays a translational role in the calculation; the output label f (x) is a target value, can be a scalar or a vector, represents a certain property or attribute of molten steel, and can control the amounts of sulfur element, phosphorus element and carbon element represented by A1, A2, A and An below a certain range so as to prepare high-performance austenitic stainless steel;
1.3, predicting the molten steel quality under different conditions by using the established model, wherein the prediction result can be used as a basis for adjusting the component proportion; when predicting, substituting the content of each component in the current molten steel into the model to obtain a predicted value of the molten steel quality; and adjusting the component proportion in the molten steel according to the predicted result and the influence of other factors so as to obtain better molten steel quality.
As a preferable mode of the invention, the vacuum degree in the VOD converter in the step S3 is 100-250 torr.
As a preferred embodiment of the present invention, the processing means in step S1 includes:
a stirring barrel;
the sedimentation barrel is fixed at the bottom of the stirring barrel through a plurality of connecting plates;
the portal frame is fixed at the top of the processing mechanism;
one end of the rotating shaft is rotationally connected to the bottom wall of the stirring barrel, and the other end of the rotating shaft is rotationally connected to the top wall of the portal frame;
the motor is fixed at the top of the portal frame, and the output end of the motor penetrates through the portal frame and is fixed with one end of the rotating shaft;
a plurality of stirring rods which are fixed on the circumferential surface of the rotating shaft; and
and the filter plate is fixed in the precipitation barrel.
As a preferable scheme of the invention, two discharge holes are formed in the bottom of the stirring barrel, first discharging pipes are fixed at the two discharge holes in the bottom of the stirring barrel, two pushing plates are fixed at the bottom of the circumferential surface of the rotating shaft, one discharge hole is formed in the bottom of the sedimentation barrel, second discharging pipes are fixed at the discharge holes in the bottom of the sedimentation barrel, and electric control valves are fixed on the second discharging pipes and the two first discharging pipes.
As a preferable scheme of the invention, in the step S2, at the operation site of VOD equipment, the time and the quantity of carbon monoxide generated under different conditions can be predicted by improving a linear regression algorithm, and the oxygen blowing time and the oxygen blowing intensity can be adjusted according to the predicted result so as to obtain better decarburization effect, and meanwhile, parameters such as the value of CO and CO2 in the furnace, the temperature and the like can be monitored by utilizing a sensor so as to adjust the operation process in real time, and the method specifically comprises the following steps:
2.1, monitoring parameters such as CO: CO2 value and temperature in a furnace through a sensor at the operation position of VOD equipment, recording, and recording data such as time and quantity of carbon monoxide generation under different conditions;
2.2, establishing a linear regression prediction model of carbon monoxide generation time and quantity according to the collected data, wherein the carbon monoxide generation time is t1 and the quantity is m1, and the carbon monoxide generation time under the other condition is t2 and the quantity is m2; meanwhile, assuming that a nonlinear function f (x) exists, wherein x is time or amount, and y is carbon monoxide generation amount, the following nonlinear regression model is established:
m1 = k * f(t1) + b
m2 = k * f(t2) + b
wherein k is a regression coefficient, b is an intercept, and the optimal values of k and b can be obtained through training the data set; when predicting, substituting the current time t into the model to obtain the predicted value of the carbon monoxide generation time and quantity;
According to the prediction result, adjusting oxygen blowing time and strength of the VOD equipment;
or as an improvement, in addition to time and amount, the influence of other factors on the generation of carbon monoxide can be considered, and oxygen concentration and temperature factors are introduced to describe the carbon monoxide generation process more fully, so that the detailed implementation process is given:
assuming that there is a carbon monoxide generation time t1 and an amount of m1, and under another condition, a carbon monoxide generation time t2 and an amount of m2, and assuming that there is a nonlinear function f (x), where x is time or amount and y is carbon monoxide generation amount; in addition, assuming that the oxygen concentration is O2 and the temperature is T, the following nonlinear regression model is established:
m1 = k * f(t1) + b + O2 * g(t1) + T * h(t1)
m2 = k * f(t2) + b + O2 * g(t2) + T * h(t2)
wherein k is a regression coefficient, b is an intercept, g (x) and h (x) are nonlinear functions of oxygen concentration and temperature respectively, and optimal values of k, b, g (x) and h (x) can be obtained through a training data set;
when predicting, substituting the current time t into the model to obtain the predicted value of the carbon monoxide generation time and quantity;
and 2.3, predicting the carbon monoxide generation time and quantity under different conditions by using the established model. The prediction result can be used as a basis for adjusting the oxygen blowing time and the strength;
2.4, adjusting oxygen blowing time and strength of the VOD equipment according to the prediction result so as to obtain a better decarburization effect; simultaneously, the sensor can be used for monitoring parameters such as the value of CO and CO2 in the furnace, the temperature and the like so as to adjust the operation process in real time
Compared with the prior art, the invention has the beneficial effects that:
1. according to the austenitic stainless steel prepared by the vacuum process, the morphology and the distribution of sulfides are improved by adjusting the components of molten steel, the hot processing performance of materials is improved, and the purity of molten steel is improved, so that the high-purity austenitic stainless steel is obtained; the preparation method of the stainless steel production process has the advantages of simplified production flow process, high efficiency, energy saving, and control of sulfur content below 0.025 and phosphorus content below 0.0035. It is possible to produce an austenitic stainless steel free of cutting and having a high surface quality.
2. In the invention, the carbon content is reduced from 0.3% to below 0.08%, even below 0.03% by VOD vacuum process, thereby avoiding the need of using a large amount of argon gas at the final stage of decarburization and shortening smelting time.
3. The outstanding innovation points of the invention are as follows: the ultra-pure austenitic stainless steel has the main extremely low oxygen content below 5ppm, and the conventional austenitic stainless steel is about 50-80 ppm; the ultra-pure austenitic stainless steel slag inclusion is very low, the four types of slag inclusion A, B, C, D are only class D slag inclusion of 0.5 grade, and the conventional austenitic stainless steel is more than 1.5 grade.
4. Compared with the existing method, the casting method has the main advantages of production stability, good stainless steel surface quality and uniform internal quality.
5. Before molten steel is added into a refining furnace, the influence of different components on the molten steel can be predicted through a support vector machine algorithm, and the component proportion in the molten steel is adjusted according to a prediction result, so that better molten steel quality is obtained; at the operation place of VOD equipment, the time and the quantity of carbon monoxide generation under different conditions can be predicted by improving a linear regression algorithm, and the oxygen blowing time and the oxygen blowing intensity are adjusted according to the prediction result so as to obtain better decarburization effect. Meanwhile, parameters such as the value of CO and CO2 in the furnace, the temperature and the like can be monitored by utilizing a sensor so as to adjust the operation process in real time.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a perspective view of a first view of a processing mechanism according to the present invention;
FIG. 2 is a perspective view of a second view of the processing mechanism of the present invention;
FIG. 3 is an exploded perspective view of the treatment mechanism of the present invention;
Fig. 4 is a perspective view of a third view of the processing mechanism of the present invention.
In the figure: 1. a processing mechanism; 101. a stirring barrel; 1011. a first blanking pipe; 102. a precipitation barrel; 1021. a second blanking pipe; 103. a connecting plate; 104. a portal frame; 105. a motor; 106. a rotating shaft; 107. a stirring rod; 108. a push plate; 109. a filter plate; 110. an electric control valve.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Referring to fig. 1-4, the present invention provides the following technical solutions:
an ultra-low oxygen high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.005 part of carbon, 0.1 part of silicon, 0.8 part of manganese, less than or equal to 0.03 part of phosphorus, 0.002 part of sulfur, 17 parts of chromium, 13.3 parts of nickel, 2.5 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
In the specific embodiment of the invention, the austenitic stainless steel prepared by the vacuum process improves the morphology and distribution of sulfides by adjusting the components of molten steel, improves the hot processing performance of materials and improves the purity of molten steel, thereby obtaining high-purity austenitic stainless steel; the preparation method of the stainless steel production process has the advantages of simplified production flow process, high efficiency, energy saving, and control of sulfur content below 0.025 and phosphorus content below 0.0035. It is possible to produce an austenitic stainless steel free of cutting and having a high surface quality.
In particular to a preparation process of high-purity austenitic stainless steel, which comprises the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
S2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
s3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Specifically, in step S1, the composition of the molten steel is adjusted in the refining furnace, including decarburization, desulfurization, dephosphorization, lead removal, and reduction, and full Al deoxidization is performed to make the molten steel: c is less than 0.3ppm, S is less than 0.6ppm, and P is less than 0.03ppm.
Specifically, in the step S1, the full Ar denitrification treatment is performed in the operation of stirring, deslagging and static precipitation treatment of molten steel.
Specifically, the vacuum degree in the VOD converter is 100-250 torr.
In the step S1, before molten steel is added into a refining furnace, the influence of different components on the molten steel is predicted by a support vector machine, and the proportion of the components in the molten steel is adjusted according to the prediction result so as to obtain better molten steel quality, and the concrete process is as follows:
1.1, before molten steel is added into a refining furnace, monitoring and recording the content of various components in the molten steel, and simultaneously, recording the change condition of the molten steel quality under different conditions;
1.2, according to the collected data, a prediction model of component adjustment can be established, and a support vector machine algorithm is adopted to establish a nonlinear relation between each component in molten steel and a target value;
assuming that there are n components in the molten steel, A1, A2, an, where Ai represents the content of the i-th component, the following model is established:
y = w0 + w1 * A1 + w2 * A2 + ... + wn * An
wherein w0 is an intercept term, w1, w2, & gt, and wn are linear coefficients between each component and a target value, and the optimal values of w0, w1, w2, & gt, and wn can be obtained through a training data set; the support vector machine model is:
In f (x) = < w, y > +b, the symbol < w, y > represents the inner product of vector w and vector y, b is a constant, the inner product is the operation of projecting the two vectors onto each other, the result is a scalar, b is the bias term, which plays a translational role in the calculation; the output label f (x) is a target value, can be a scalar or a vector, represents a certain property or attribute of molten steel, is trained by a support vector machine through a Gaussian kernel function, and can control the amounts of sulfur element, phosphorus element and carbon element represented by A1, A2, A and An below a certain range; to prepare high-performance austenitic stainless steel;
1.3, predicting the molten steel quality under different conditions by using the established model, wherein the prediction result can be used as a basis for adjusting the component proportion; when predicting, substituting the content of each component in the current molten steel into the model to obtain a predicted value of the molten steel quality; and adjusting the component proportion in the molten steel according to the predicted result and the influence of other factors so as to obtain better molten steel quality.
And in the prediction process, substituting the content of each component in the current molten steel into the model to obtain a predicted value of the molten steel quality. For example, when a1=0.5, a2=0.6, a3=0.7, y=w0+w10.5+w20.6+ is predicted.
1.4, adjusting the component proportion in the molten steel according to the predicted result and the influence of other factors so as to obtain better molten steel quality; for example, the content of a certain component may be increased or decreased or the proportion of the component may be adjusted according to the prediction result.
And adjusting the component proportion in the molten steel according to the predicted result and the influence of other factors. When y=w0+w10.5+w20.6+ & wn 0.7 is predicted, the content of A1 can be increased by 1%, the content of A2 can be reduced by 1%, and the content of A3 can be increased by 2%. Meanwhile, the sensor can be used for monitoring the change condition of the content of other components in the molten steel so as to adjust the operation process in real time.
Specifically, the processing means 1 in step S1 includes:
a stirring barrel 101;
a precipitation tank 102 fixed to the bottom of the stirring tank 101 through a plurality of connection plates 103;
a gantry 104 fixed to the top of the processing mechanism 1;
a rotating shaft 106, one end of which is rotatably connected to the bottom wall of the stirring tank 101, and the other end of which is rotatably connected to the top wall of the gantry 104;
the motor 105 is fixed on the top of the portal frame 104, and the output end of the motor 105 penetrates through the portal frame 104 and is fixed with one end of the rotating shaft 106;
a plurality of stirring rods 107 each fixed to a circumferential surface of the rotation shaft 106; and
A filter plate 109 is fixed in the precipitation tank 102. .
Specifically, two discharge ports are formed in the bottom of the stirring barrel 101, first blanking pipes 1011 are fixed at the two discharge ports of the bottom of the stirring barrel 101, two pushing plates 108 are fixed at the bottom of the circumferential surface of the rotating shaft 106, one discharge port is formed in the bottom of the sedimentation barrel 102, a second blanking pipe 1021 is fixed at the discharge port of the bottom of the sedimentation barrel 102, and an electric control valve 110 is fixedly arranged on the second blanking pipe 1021 and the two first blanking pipes 1011.
In this embodiment: when stirring, deslagging and static precipitation are carried out, molten steel is injected into the stirring barrel 101, at the moment, the second blanking pipe 1021 and the two first blanking pipes 1011 are controlled to be not circulated through the electric control valve 110, so that molten steel is positioned in the stirring barrel 101, then the motor 105 is started, the output end of the motor 105 can enable the rotating shaft 106 to rotate, the rotating shaft 106 drives the stirring rods 107 to rotate, so that chemical components in the molten steel are better mixed, after stirring is finished, the first blanking pipes 1011 are opened through the electric control valve 110, molten steel and residues in the stirring barrel 101 enter the precipitation barrel 102 along the first blanking pipes 1011, when falling into the precipitation barrel 102, the molten steel and residues in the stirring barrel 101 pass through the filter plate 109, the residues are filtered by the filter plate 109, the molten steel flows down, and when the molten steel in the stirring barrel 101 flows into the precipitation barrel 102, the motor 105 continuously works, the rotating shaft 106 is driven to rotate, the rotating shaft 106 also drives the two pushing plates 108 to rotate, the pushing plates 108 are attached to the bottom wall of the stirring barrel 101, the two pushing plates 108 rotate clockwise, the surface of one side, which is located in front of the clockwise rotation of the two pushing plates 108, is concave towards the middle, the final concave point is arc-shaped and is matched with a discharge hole in the bottom wall of the stirring barrel 101, so that when the pushing plates 108 rotate, molten steel or residues remained on the bottom wall of the stirring barrel 101 can be driven to the concave point, finally, the first blanking pipe 1011 flows into the sedimentation barrel 102 from the discharge hole, residues are not easy to remain in the sedimentation barrel 102, after the molten steel and residues in the stirring barrel 101 completely flow out, the motor 105 is turned off, the molten steel is waited for 1h, the molten steel located in the sedimentation barrel 102 is still deposited, the residues can be effectively filtered, and the filtering effect is better.
Examples
The high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.0070 part of carbon, 0.18 part of silicon, 0.9 part of manganese, less than or equal to 0.03 part of phosphorus, 0.0025 part of sulfur, 17.2 parts of chromium, 13.4 parts of nickel, 2.53 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of ultra-low oxygen high-purity austenitic stainless steel comprises the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
s2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
S3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Example 2 was prepared in the same manner as example 1 except that the raw materials were different in parts by weight;
in the step S2, at the operation site of the VOD apparatus, the time and amount of carbon monoxide generation under different conditions can be predicted by improving the linear regression algorithm, and the oxygen blowing time and strength can be adjusted according to the prediction result, so as to obtain a better decarburization effect. Meanwhile, parameters such as the value of CO and CO2 in the furnace, the temperature and the like can be monitored by utilizing a sensor so as to adjust the operation process in real time.
2.1, at the operation place of VOD equipment, parameters such as the CO: CO2 value and the temperature in the furnace can be monitored through a sensor and recorded. Meanwhile, the data such as the time and the amount of carbon monoxide generated under different conditions can be recorded.
2.2, according to the collected data, a linear regression prediction model of carbon monoxide generation time and quantity can be established. It is assumed that there is a carbon monoxide production time t1 and an amount of m1, and that the carbon monoxide production time under the other conditions is t2 and an amount of m2. Meanwhile, it is assumed that there is a nonlinear function f (x), where x is time or amount and y is carbon monoxide generation amount. The following nonlinear regression model is established:
m1 = k * f(t1) + b
m2 = k * f(t2) + b
where k is the regression coefficient and b is the intercept. By training the dataset, the optimal values of k and b can be found.
When predicting, substituting the current time t into the model, and obtaining the predicted value of the carbon monoxide generation time and quantity. For example, when t=500 s, m1=f (500) is predicted.
According to the prediction result, the oxygen blowing time and the oxygen blowing intensity of the VOD equipment can be adjusted. For example, when m1=f (500) is predicted, the oxygen blowing time can be prolonged by 50s and the intensity reduced by 10%. Meanwhile, parameters such as the value of CO and CO2 in the furnace, the temperature and the like can be monitored by utilizing a sensor so as to adjust the operation process in real time.
In addition to time and amount, other factors may be considered for the effect of carbon monoxide production. For example, factors such as oxygen concentration, temperature, etc. may be introduced to more fully describe the carbon monoxide generation process "give a detailed implementation:
it is assumed that there is a carbon monoxide production time t1 and an amount of m1, and that the carbon monoxide production time under the other conditions is t2 and an amount of m2. Meanwhile, it is assumed that there is a nonlinear function f (x), where x is time or amount and y is carbon monoxide generation amount. Further, the oxygen concentration is assumed to be O2 and the temperature is assumed to be T. The following nonlinear regression model is established:
m1 = k * f(t1) + b + O2 * g(t1) + T * h(t1)
m2 = k * f(t2) + b + O2 * g(t2) + T * h(t2)
where k is the regression coefficient, b is the intercept, and g (x) and h (x) are nonlinear functions of oxygen concentration and temperature, respectively. The optimal values of k, b, g (x), h (x) can be obtained by training the data set.
When predicting, substituting the current time t into the model, and obtaining the predicted value of the carbon monoxide generation time and quantity. For example, when t=500 s, m1=f (500) +o2g (500) +th (500) is predicted.
And 2.3, predicting the carbon monoxide generation time and quantity under different conditions by using the established model. The prediction result can be used as the basis for adjusting the oxygen blowing time and the strength.
And 2.4, adjusting factors such as oxygen blowing time and strength, oxygen concentration, temperature and the like of the VOD equipment according to the predicted result and the influence of other factors. For example, when m1=f (500) +o2g (500) +th2g (500) is predicted, the oxygen blowing time can be prolonged by 50s, the intensity is reduced by 10%, the oxygen concentration is increased by 10%, and the temperature is reduced by 5 ℃. Meanwhile, parameters such as the value of CO and CO2 in the furnace, the temperature and the like can be monitored by utilizing a sensor so as to adjust the operation process in real time.
Examples
The high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.0075 part of carbon, 0.25 part of silicon, 1.1 part of manganese, less than or equal to 0.03 part of phosphorus, 0.003 part of sulfur, 17.4 parts of chromium, 13.6-13.8 parts of nickel, 2.58 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of high-purity austenitic stainless steel comprises the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
s2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
S3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Example 3 was prepared in the same manner as example 1 except that the raw materials were different in parts by weight;
examples
The high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.0080 part of carbon, 0.44 part of silicon, 1.228 part of manganese, 0.0033 part of phosphorus, 00.0034 parts of sulfur, 17.56 parts of chromium, 13.73 parts of nickel, 2.628 parts of molybdenum, less than or equal to 0.0033 part of copper, less than or equal to 0.0095 part of niobium, less than or equal to 0.0005 part of selenium, less than or equal to 0.7 part of hydrogen, 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of high-purity austenitic stainless steel comprises the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
s2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
s3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
S4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Example 4 was prepared in the same manner as example 1 except that the raw materials were different in parts by weight;
examples
The high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.0085 part of carbon, 0.5 part of silicon, 1.3 part of manganese, less than or equal to 0.03 part of phosphorus, 0.004 part of sulfur, 17.6 parts of chromium, 13.6-13.8 parts of nickel, 2.824 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of high-purity austenitic stainless steel comprises the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
S2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
s3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Example 5 was prepared in the same manner as example 1 except that the raw materials were different in parts by weight;
Examples
The high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.0095 part of carbon, 0.58 part of silicon, 1.4 part of manganese, less than or equal to 0.03 part of phosphorus, 0.0045 part of sulfur, 17.8 parts of chromium, 14 parts of nickel, 3.2 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of high-purity austenitic stainless steel comprises the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
s2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
S3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Example 6 was prepared in the same manner as example 1 except that the raw materials were different in parts by weight;
examples
The high-purity austenitic stainless steel comprises the following chemical raw materials in parts by weight: 0.01 part of carbon, 0.6 part of silicon, 1.5 part of manganese, less than or equal to 0.03 part of phosphorus, 0.005 part of sulfur, 18 parts of chromium, 14.1 parts of nickel, 3.3 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
A preparation process of high-purity austenitic stainless steel comprises the following steps:
S1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, and carrying out component adjustment on the molten steel, wherein in the step S1, the component adjustment on the molten steel in the refining furnace comprises decarburization treatment, desulfurization treatment, dephosphorization treatment, lead removal treatment and reduction treatment, and carrying out full Al deoxidation treatment to ensure that the molten steel comprises the following steps: c is less than 0.3ppm, S is less than 0.6ppm, P is less than 0.03ppm, then stirring, deslagging and standing precipitation treatment are carried out on molten steel through a treatment mechanism 1, and full Ar denitrification treatment is carried out in the stirring, deslagging and standing precipitation treatment operation of the molten steel;
s2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, the vacuum degree in the VOD converter is 100-250 torr, oxygen is blown from an oxygen lance at the top of the converter, silicon is oxidized at the moment, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
s3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
S4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity 00Cr18Ni14Mo3-05 austenitic stainless steel.
Example 7 was prepared in the same manner as example 1 except that the raw materials were different in parts by weight;
in the invention, the slag inclusion measuring method comprises the following steps: referring to ASTM E45 standard, the test results showed that the residual amount of the residue was the smallest in example 4, and the hardness of the stainless steel was measured as: HV 220, the corrosion requirement among the stainless steel crystal is detected, reference ASTM A262 standard detection is qualified, therefore, in the invention, the austenitic stainless steel prepared by the vacuum process improves the appearance and distribution of sulfides by adjusting the components of molten steel, improves the hot processing performance of materials, improves the purity of molten steel to be smelted, and thus obtains high-purity austenitic stainless steel; the preparation method of the stainless steel production process has the advantages of simplified production flow process, high efficiency, energy saving, and control of sulfur content below 0.025 and phosphorus content below 0.0035. It is possible to produce an austenitic stainless steel free of cutting and having a high surface quality.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. An ultra-low oxygen high-purity austenitic stainless steel is characterized by comprising the following chemical raw materials in parts by weight: 0.005-0.01 part of carbon, 0.1-0.6 part of silicon, 0.8-1.5 part of manganese, less than or equal to 0.03 part of phosphorus, 0.002-0.005 part of sulfur, 17-18 parts of chromium, 13.3-14.1 parts of nickel, 2.5-3.3 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
2. The ultra-pure austenitic stainless steel with extremely low oxygen content and high ultra-pure austenitic stainless steel according to claim 1, wherein the ultra-pure austenitic stainless steel is characterized by comprising the following chemical raw materials in parts by weight: 0.13-0.27 part of carbon, 0.18-0.58 part of silicon, 0.9-1.4 part of manganese, less than or equal to 0.03 part of phosphorus, 0.0025-0.0045 part of sulfur, 17.2-17.8 parts of chromium, 13.4-14 parts of nickel, 2.53-3.2 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
3. The ultra-pure austenitic stainless steel with extremely low oxygen content and high ultra-pure austenitic stainless steel according to claim 2, wherein the ultra-pure austenitic stainless steel is characterized by comprising the following chemical raw materials in parts by weight: 0.17-0.23 part of carbon, 0.25-0.5 part of silicon, 1.1-1.3 part of manganese, less than or equal to 0.03 part of phosphorus, 0.003-0.004 part of sulfur, 17.4-17.6 parts of chromium, 13.6-13.8 parts of nickel, 2.58-2.824 parts of molybdenum, less than or equal to 0.2 part of copper, less than or equal to 0.05 part of niobium, less than or equal to 0.02 part of selenium, less than or equal to 1 part of hydrogen, less than or equal to 5 parts of oxygen, and the balance of iron and other unavoidable impurities.
4. An ultra-pure austenitic stainless steel with extremely low oxygen content and high ultra-pure austenitic stainless steel according to claim 3, wherein the austenitic stainless steel comprises the following chemical raw materials in parts by weight: carbon 0.021 parts, silicon 0.44 parts, manganese 1.228 parts, phosphorus 0.0033 parts, sulfur 0.0034 parts, chromium 17.56 parts, nickel 13.73 parts, molybdenum 2.628 parts, copper not more than 0.0033 parts, niobium not more than 0.0095 parts, selenium not more than 0.0005 parts, hydrogen not more than 0.7 parts, oxygen 5 parts, and the balance of iron and other unavoidable impurities.
5. A process for preparing ultra-low oxygen high-purity austenitic stainless steel, which is applied to the high-purity austenitic stainless steel as claimed in any one of claims 1 to 4, and is characterized by comprising the following steps:
s1, firstly, carrying out steelmaking treatment in an electric furnace to form molten steel, then adding the molten steel into a refining furnace, regulating the components of the molten steel, and then stirring, deslagging and static precipitation treatment on the molten steel through a treatment mechanism (1);
S2, treating molten steel in the ladle, hoisting the molten steel to a VOD equipment operation position through a crane, wherein VOD is vacuum deoxidization decarburization equipment, the molten steel is fed into a VOD converter, oxygen is blown from an oxygen lance at the top of the converter, at the moment, silicon is oxidized first, then carbon is oxidized, carbon monoxide starts to be generated when the predetermined temperature and the silicon content are reached in the VOD converter, and decarburization starts;
s3, monitoring the CO/CO 2 value in the furnace, stopping oxygen blowing when the carbon content of the molten pool reaches 0.08%, reducing the pressure in the converter, stirring by argon blowing, strengthening the reaction of dissolved oxygen and residual carbon, then sequentially adding reduced silicon, lime and fluorite for desulfurization,
s4, confirming that the horizontal continuous casting machine set works normally, adjusting the water inlet and outlet pressure and flow of a crystallizer, continuously casting and drawing blanks, controlling the temperature of molten steel in a furnace, the blank drawing speed and the blank drawing frequency, wherein the liquidus temperature of steel is 1493 ℃, the control range of the superheat degree of a first ladle in the furnace is 30-45 ℃, and the blank drawing speed of 160 square blanks is 1.1-1.35m/min; and (3) grinding and pickling the places with defects on the surface of the casting blank to finally obtain the high-purity austenitic stainless steel.
6. The process for producing ultra-pure austenitic stainless steel according to claim 5, wherein the composition adjustment of molten steel in the refining furnace in step S1 comprises decarburization, desulfurization, dephosphorization, deleading and reduction, and all Al deoxidization, wherein: c is less than 0.3ppm, S is less than 0.6ppm, and P is less than 0.03ppm.
7. The process for producing ultra-pure austenitic stainless steel according to claim 6, wherein the step S1 is performed with all Ar denitrification during the stirring, deslagging and still precipitation operations of molten steel.
8. The process for preparing ultra-pure austenitic stainless steel with very low oxygen content according to claim 5, wherein in step S1, before molten steel is added into the refining furnace, the components of the molten steel are detected by a sensor, the components are transmitted to a support vector machine algorithm built in a controller to predict the influence of different components on the molten steel, and the component proportion in the molten steel is adjusted according to the prediction result, so as to obtain better molten steel quality, and the specific process is as follows:
1.1, before molten steel is added into a refining furnace, monitoring and recording the content of various components in the molten steel, and simultaneously, recording the change condition of the molten steel quality under different conditions;
1.2, according to the collected data, a prediction model of component adjustment can be established, and a support vector machine algorithm is adopted to establish a nonlinear relation between each component in molten steel and a target value;
assuming that there are n components in the molten steel, A1, A2, an, where Ai represents the content of the i-th component, the following model is established:
y = w0 + w1 * A1 + w2 * A2 + ... + wn * An
Wherein w0 is an intercept term, w1, w2, & gt, and wn are linear coefficients between each component and a target value, and the optimal values of w0, w1, w2, & gt, and wn can be obtained through a training data set;
the support vector machine model is:
in f (x) = < w, y > +b, the symbol < w, y > represents the inner product of vector w and vector y, b is a constant, the inner product is the operation of projecting the two vectors onto each other, the result is a scalar, b is the bias term, which plays a translational role in the calculation; the output label f (x) is a target value, can be a scalar or a vector, represents a certain property or attribute of molten steel, and can control the amounts of sulfur element, phosphorus element and carbon element represented by A1, A2, A and An below a certain range so as to prepare high-performance austenitic stainless steel;
1.3, predicting the molten steel quality under different conditions by using the established model, wherein the prediction result can be used as a basis for adjusting the component proportion; when predicting, substituting the content of each component in the current molten steel into the model to obtain a predicted value of the molten steel quality; and adjusting the component proportion in the molten steel according to the predicted result and the influence of other factors so as to obtain better molten steel quality.
9. The process for preparing ultra-pure austenitic stainless steel with very low oxygen content according to claim 5, wherein the vacuum degree in the VOD converter in step S3 is 100-250 torr.
10. The process for preparing ultra-pure austenitic stainless steel with very low oxygen content according to claim 5, wherein the treating means (1) in step S1 comprises:
a stirring barrel (101);
a sedimentation tank (102) fixed to the bottom of the stirring tank (101) by a plurality of connection plates (103);
a portal frame (104) fixed on the top of the processing mechanism (1);
a rotating shaft (106) with one end rotatably connected to the bottom wall of the stirring barrel (101) and the other end rotatably connected to the top wall of the portal frame (104);
the motor (105) is fixed at the top of the portal frame (104), and the output end of the motor (105) penetrates through the portal frame (104) and is fixed with one end of the rotating shaft (106);
a plurality of stirring rods (107) each fixed to the circumferential surface of the rotating shaft (106); and
and a filter plate (109) fixed in the precipitation barrel (102).
11. The process for preparing the ultra-pure austenitic stainless steel with extremely low oxygen content according to claim 10, wherein two discharge holes are formed in the bottom of the stirring barrel (101), first blanking pipes (1011) are fixed at the two discharge holes in the bottom of the stirring barrel (101), two pushing plates (108) are fixed at the bottom of the circumferential surface of the rotating shaft (106), one discharge hole is formed in the bottom of the sedimentation barrel (102), second blanking pipes (1021) are fixed at the discharge holes in the bottom of the sedimentation barrel (102), and electric control valves (110) are fixedly arranged on the second blanking pipes (1021) and the two first blanking pipes (1011).
12. The process for preparing ultra-pure austenitic stainless steel according to claim 5, wherein in step S2, the time and amount of carbon monoxide generation under different conditions can be predicted by improving linear regression algorithm at the operation site of VOD equipment, and the oxygen blowing time and strength can be adjusted according to the predicted result, so as to obtain better decarburization effect, and meanwhile, the CO: CO2 value and temperature parameter in the furnace can be monitored by using a sensor, so as to adjust the operation process in real time, specifically:
2.1, monitoring the CO:CO 2 value and the temperature parameter in the furnace through a sensor at the operation position of VOD equipment, recording, and recording data such as the time and the quantity of carbon monoxide generation under different conditions;
2.2, establishing a linear regression prediction model of carbon monoxide generation time and quantity according to the collected data, wherein the carbon monoxide generation time is t1 and the quantity is m1, and the carbon monoxide generation time under the other condition is t2 and the quantity is m2; meanwhile, assuming that a nonlinear function f (x) exists, wherein x is time or amount, and y is carbon monoxide generation amount, the following nonlinear regression model is established:
m1 = k * f(t1) + b
m2 = k * f(t2) + b
wherein k is a regression coefficient, b is an intercept, and the optimal values of k and b can be obtained through training the data set; when predicting, substituting the current time t into the model to obtain the predicted value of the carbon monoxide generation time and quantity;
According to the prediction result, adjusting oxygen blowing time and strength of the VOD equipment;
or as an improvement, oxygen concentration, temperature factors are introduced to more fully describe the carbon monoxide generation process giving detailed implementation:
assuming that there is a carbon monoxide generation time t1 and an amount of m1, and under another condition, a carbon monoxide generation time t2 and an amount of m2, and assuming that there is a nonlinear function f (x), where x is time or amount and y is carbon monoxide generation amount; in addition, assuming that the oxygen concentration is O2 and the temperature is T, the following nonlinear regression model is established:
m1 = k * f(t1) + b + O2 * g(t1) + T * h(t1)
m2 = k * f(t2) + b + O2 * g(t2) + T * h(t2)
wherein k is a regression coefficient, b is an intercept, g (x) and h (x) are nonlinear functions of oxygen concentration and temperature respectively, and optimal values of k, b, g (x) and h (x) can be obtained through a training data set;
when predicting, substituting the current time t into the model to obtain the predicted value of the carbon monoxide generation time and quantity;
and 2.3, predicting the carbon monoxide generation time and quantity under different conditions by using the established model. The prediction result can be used as a basis for adjusting the oxygen blowing time and the strength;
2.4, adjusting oxygen blowing time and strength of the VOD equipment according to the prediction result so as to obtain a better decarburization effect; meanwhile, the sensor can be used for monitoring the CO:CO2 value and the temperature parameter in the furnace so as to adjust the operation process in real time.
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