System and method for forecasting molten steel components in RH refining process in online manner

A technology of molten steel composition and refining process, applied in the system field of online prediction of molten steel composition in the RH refining process, can solve the problems of high cost, lack of accurate analysis, and vacuum degassing, etc., achieve high degree of automation and reduce labor intensity , to ensure the effect of reasonableness and accuracy

Inactive Publication Date: 2013-11-06
NORTHEASTERN UNIV +1
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AI-Extracted Technical Summary

Problems solved by technology

The document "RH-MFB Decarburization Process Model and Process Optimization" (Tangshan: Master Thesis of Hebei University of Technology, Liu Posson, 2005) only describes the prediction of decarburization in the RH refining process, and the description of the decarburization mechanism is not detailed enough
However, the document "Design and Realization of RH Refining Control Model System" (Metallurgical Automation, 2008, 32(1):12-16, Lin Yun, etc.) did not consider vacuum degassi...
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Abstract

The invention discloses a system and a method for forecasting molten steel components in the RH refining process in an online manner, and belongs to the technical field of production and control of metallurgical refining. The system comprises an information acquisition module, a degasification judgment module, a gas content comparison module, a gas content display module, a decarburization judgment module, a decarburization module, a temperature real-time acquisition module, a carbon content comparison module, a carbon content display module, an alloying judgment module, an alloying module, a silicon and manganese content correction module, an alloy component content comparison module, an alloy content display module and a molten steel component display module. According to the method, degasification treatment includes removal of hydrogen, nitrogen and oxygen in molten steel, the requirement of corresponding steel types for target component contents is met, decarburization treatment is performed until the requirement of the corresponding steel types for the carbon content is met, alloying treatment is performed until alloy components needing fine adjustment meet the range required by target components, and the contents of gas, carbon, silicon, manganese, chromium and titanium in the molten steel can be accurately forecasted.

Technology Topic

AlloyMolten steel +11

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  • System and method for forecasting molten steel components in RH refining process in online manner
  • System and method for forecasting molten steel components in RH refining process in online manner
  • System and method for forecasting molten steel components in RH refining process in online manner

Examples

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Example Embodiment

[0050] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0051] as attached figure 1 As shown, the system for online prediction of molten steel composition in the RH refining process in this embodiment includes: an information acquisition module 1 for acquiring molten steel volume, molten steel composition, target steel grade composition, alloy composition, alloy yield of the corresponding composition, and Corresponding silo number; degassing judgment module 2, which judges whether molten steel needs to be degassed. If necessary, the system transmits an instruction to the degassing module for degassing. If not, the system transmits an instruction to the gas content display module; The degassing module 3 degass the molten steel according to the inbound composition of the molten steel and the smelting target requirements of the steel grade; the gas content comparison module 4 compares the real-time gas content of the molten steel during the degassing process with the target gas content of the corresponding steel grade , when the target gas content of the steel type is met, the system automatically stops the degassing process and outputs the gas content of the molten steel; the gas content display module 5 is used to display the real-time gas content value; the decarburization judgment module 6 is used to judge whether the molten steel needs to be degassed. For carbon treatment, if necessary, transmit the instruction to the decarburization module for decarburization treatment; if not, the system transmits the instruction to the carbon content display module; the decarburization module 7, according to the inbound composition of molten steel and the smelting target requirements of the corresponding steel grade The decarburization treatment is performed on the molten steel; the temperature real-time acquisition module 8 provides the decarburization module with the molten steel temperature value in real time during the decarburization process, so as to ensure the accurate calculation of the decarburization module; the carbon content comparison module 9, the molten steel in the decarburization process. The real-time carbon content is compared with the target carbon content of the corresponding steel grade. When the target carbon content of the corresponding steel grade is met, the system automatically stops the decarburization process and outputs the carbon content of the molten steel; the carbon content display module 10 is used to display the output of the molten steel. Real-time carbon content; the alloying judging module 11 judges whether the molten steel needs to be alloyed. If necessary, the system transmits an instruction to the alloying module to carry out the alloying of the molten steel; the alloying module 12 judges whether the molten steel needs to be alloyed. The smelting target requires that the molten steel be alloyed. According to the calculation results of the alloy, the yield of the modified alloy is calculated in reverse to prepare for the next accurate calculation; the silicon and manganese content correction module 13, according to the content of acid-soluble aluminum in the molten steel, The content of silicon and manganese is corrected by Origin fitting; the alloy composition content comparison module 14 compares the real-time carbon content of molten steel during the decarburization process with the target carbon content of the corresponding steel grade. When the target carbon content of the corresponding steel grade is satisfied, the system automatically Stop the alloying treatment and output the alloy composition content of the molten steel; the alloy content display module 15 is used to display the alloy content of the output molten steel; the molten steel composition display module 16 is used to output hydrogen, nitrogen, The combination or all of the 8 components of oxygen, carbon, silicon, manganese, chromium, and titanium.
[0052] A method for online prediction of molten steel composition during RH refining, such as figure 2 shown, including the following steps,
[0053] Step 1: Collect initial information;
[0054] Set to automatically collect initial information, including molten steel volume, molten steel composition, target composition of corresponding steel grade, alloy composition, yield of corresponding alloy composition, corresponding silo number, and initial temperature of molten steel;
[0055] Step 2: Determine whether degassing treatment is required, if degassing treatment is required, go to step 3, if degassing treatment is not required, go to step 4;
[0056] Step 3: Degassing treatment of molten steel, including the removal of hydrogen, nitrogen and oxygen in molten steel;
[0057] Step 3-1: dehydrogenation treatment;
[0058] Step 3-1-1: determine whether dehydrogenation treatment is required, if necessary, go to step 3-1-2, if not, go to step 4;
[0059] Step 3-1-2: Calculate the real-time hydrogen content in molten steel in real time;
[0060] When removing hydrogen or nitrogen from molten steel, the hydrogen or nitrogen content in molten steel can be predicted in real time by formula (1):
[0061] [ X ] t = [ X ] 0 · 10 - β X t / ( 2.3 H ) - - - ( 1 )
[0062] where:
[0063] [X] t is the real-time content of hydrogen or nitrogen in the degassing process, %; [X] 0 is the initial content of hydrogen or nitrogen, %; β X is the surface renewal rate of hydrogen or nitrogen; t is the degassing time, s; H is the height of molten steel in the vacuum chamber, m.
[0064] Surface renewal rate β X From formula (2) we get:
[0065] beta X = 2 (D X πt X ) 1/2 (2)
[0066] where:
[0067] D X is the mass transfer coefficient of hydrogen or nitrogen, m 2 ·s -1 , t X is the surface renewal time of hydrogen or nitrogen, s.
[0068] Step 3-1-3: Determine whether the hydrogen content calculated in step 3-1-2 meets the requirement of being less than the target hydrogen content, if so, go to step 3-1-4, if not, continue to proceed For dehydrogenation, go to step 3-1-2.
[0069] Step 3-1-4: output the hydrogen content value in molten steel;
[0070] Step 3-2: denitrification treatment;
[0071] Step 3-2-1: Determine whether denitrification treatment is required, if necessary, go to step 3-2-2, if not, go to step 4;
[0072] Step 3-2-2: Calculate the real-time nitrogen content in molten steel in real time;
[0073] The calculation process of nitrogen content is the same as step 3-1-2.
[0074] Step 3-2-3: judge whether the nitrogen content calculated in step 3-2-2 meets the requirement of being less than the target nitrogen content, if so, go to step 3-2-4, if not, continue to proceed For denitrification, go to step 3-2-2;
[0075] Step 3-2-4: output the nitrogen content value in molten steel;
[0076] Step 3-3: deoxygenation treatment;
[0077] Step 3-3-1: determine whether deoxidation treatment is necessary, if necessary, continue deoxidation treatment, go to step 3-3-2, if not, go to step 4;
[0078] Step 3-3-2: Calculate the real-time oxygen content in molten steel in real time;
[0079] The real-time oxygen content in molten steel is calculated in real time by the fourth-order Runge-Kutta method according to the change of deoxidation rate. The deoxidation rate in molten steel is predicted by formula (3):
[0080] - d [ O ] t dt = k 1 [ O ] t - k 2 - - - ( 3 )
[0081] where:
[0082] is the deoxygenation rate in the RH deoxygenation process, ppm/min; [O] t is the total oxygen content in molten steel at time t, ppm; k 1 is the floating removal rate of slag inclusions, 1/min; k 2 is the secondary oxidation rate in molten steel, ppm/min.
[0083] The floating removal rate k of inclusions in formula (3) 1 Equation (4) yields:
[0084] k 1 = - 1 t ln [ O ] t - [ O ] ∞ [ O ] 0 - [ O ] ∞ - - - ( 4 )
[0085] where:
[0086] [O] t is the real-time total oxygen content in molten steel, ppm; [O] 0 is the initial dissolved oxygen content in molten steel, ppm; [O] ∞ is the ideal total oxygen content at the end of molten steel treatment, ppm; t is the RH treatment time, min.
[0087] In the actual calculation, multiple sets of k calculated by formula (4) 1 The relationship between the floating removal rate of inclusions and the stirring strength of molten steel is obtained as formula (5):
[0088] k 1 =0.235ε 0.643 5
[0089] In the formula: ε is the stirring intensity, W/t.
[0090] The stirring intensity ε is obtained from formula (6):
[0091] ϵ = 7240 Q ( Q D - 2 ) 2 W m - - - ( 6 )
[0092] Q is the circulating flow, t/min; D is the diameter of the immersion pipe, m; W m In order to handle the molten steel volume, t.
[0093] The circulating flow Q of molten steel is obtained from formula (7):
[0094] Q=11.4G 1/3 D 4/3 [ln(P 1 /P 2 )] 1/3 (7)
[0095] where:
[0096] G is the flow rate of argon blowing, L/min; P 1is atmospheric pressure, Pa; P 2 is the vacuum chamber pressure, Pa.
[0097] The secondary oxidation rate k of molten steel in formula (3) 2 According to formula (8), we can get:
[0098] k 2 = 48 54 α · k 3 - - - ( 8 )
[0099] where:
[0100] k 3 is the oxidation rate of acid-dissolved aluminum in molten steel, ppm/min; α is the Al generated by the interface reaction of steel slag 2 O 3 The residual proportion of inclusions in the molten steel.
[0101] α can be calculated by the method of aluminum balance, see formula (9):
[0102] α = [ Al ] t - [ Al ] s Δ [ Al ] 1 - Δ [ Al ] 2 - - - ( 9 )
[0103] where:
[0104] [Al] t is the total aluminum content in the steel at the end of the RH treatment, %; [Al] s is the acid-soluble aluminum content in the steel at the end of the RH treatment, %; Δ[Al] 1 [O] in molten steel after RH decarburization 0 Amount of aluminum consumed in total removal, %; Δ[Al] 2 It is the loss of acid-soluble aluminum in steel after adding aluminum to the end of RH treatment, %.
[0105] The oxidation rate k of acid soluble aluminum 3 From formula (10) we get:
[0106] k 3 =a·(%SiO 2 )+b·((%FeO)+(%MnO))+c·(%Cr 2 O 3 ) (10)
[0107] where:
[0108] a, b, and c are respectively in the slag (%SiO 2 ), ((%FeO)+(%MnO)), (%Cr 2 O 3 ) to the oxidation rate of acid-soluble aluminum in molten steel, ppm/min; (%SiO 2 ) is the SiO in the slag 2 The content of slag, %; ((%FeO)+(%MnO)) is the content of (FeO+MnO) in the slag, %; (%Cr 2 O 3 ) is Cr in slag 2 O 3 content, %.
[0109] a is determined by the increase in silicon in the molten steel or the SiO in the slag 2 The amount of decrease in the molten steel is determined, and the change in acid-soluble aluminum caused by the increase of silicon in the molten steel is Δ[%Si] is: , then the expression of a is (11):
[0110] a = Δ [ Al ] s 1 / ( t · ( % SiO 2 ) ) - - - ( 11 )
[0111] where:
[0112] is the change of acid-soluble aluminum caused by the increase of silicon in the molten steel as Δ[%Si], ppm; t is the time required for the increase of silicon in the molten steel to be Δ[%Si], min.
[0113] b is determined by the increase of manganese in molten steel or the decrease of MnO in slag. When the increase of manganese in molten steel is Δ[%Mn], the change of acid-soluble aluminum is: , then the expression of b is (12):
[0114] b = Δ [ Al ] s 2 / ( t · ( % FeO ) + ( % MnO ) ) - - - ( 12 )
[0115] where:
[0116] b is the oxidation rate of acid-soluble aluminum in molten steel ((%FeO)+(%MnO)) in slag, ppm/min; is the change of acid-soluble aluminum caused by the increase of manganese in the molten steel as Δ[%Mn], ppm; t is the time required for the increase of manganese in the molten steel to be Δ[%Mn], min.
[0117] c is determined by the increase of chromium in molten steel or the amount of chromium in slag 2 O 3 The amount of decrease in the molten steel is determined, and the change in acid-soluble aluminum caused by the increase of chromium in the molten steel is Δ[%Cr]: , then the expression of c is (13):
[0118] c = Δ [ Al ] s 3 / ( t · ( % Cr 2 O 3 ) ) - - - ( 13 )
[0119] where:
[0120] c is the slag (%Cr 2 O 3 ) oxidation rate of acid-soluble aluminum in molten steel, ppm/min; is the change of acid-soluble aluminum caused by the increase of chromium in the molten steel as Δ[%Cr], ppm; t is the time required for the increase of chromium in the molten steel to be Δ[%Cr], min.
[0121] Step 3-3-3: Determine whether the oxygen content calculated in step 3-3-2 meets the requirement of being less than the target oxygen content, if so, go to step 3-3-4, if not, continue to proceed For deoxygenation, go to step 3-3-2.
[0122] Step 3-3-4: output the oxygen content in molten steel;
[0123] Step 4: Determine whether the molten steel needs to be decarburized. If necessary, go to Step 5. If not, go to Step 8.
[0124] Step 5: Calculate the real-time carbon content in molten steel in real time;
[0125] The real-time carbon content in molten steel during decarburization is calculated in real time by the fourth-order Runge-Kutta method according to the change in decarburization rate.
[0126] The decarburization rate in the molten steel treatment process is calculated in real time by formula (14):
[0127] ΣQ C =α CO ×Q co +α sur ×Q sur +α Ar ×Q Ar +α dro ×Q dro +α Ar,p ×Q Ar,p (14)
[0128] where:
[0129] ΣQ C is the total decarburization rate of molten steel, ppm/min; Q co is the decarburization rate of CO bubbles in the molten steel, ppm/min; Q sur is the decarburization rate of the free surface of molten steel in the vacuum chamber, ppm/min; Q Ar is the decarburization rate on the surface of Ar bubbles in the vacuum chamber, ppm/min; Q dro is the decarburization rate of splash droplets in the vacuum chamber, ppm/min; Q Ar,p is the decarburization rate on the surface of Ar bubbles in the riser, ; α CO , α sur , α Ar , α dro , α Ar,p represent their contribution rates to the decarbonization rate, respectively.
[0130] (1) The decarburization rate of CO bubbles in molten steel can be obtained from formula (15):
[0131] Q co = - d C V dt = K V ( K CO C i O CO - P CO ) - - - ( 15 )
[0132] The partial pressure of CO in molten steel is obtained from formula (16):
[0133] P co =P 0 +ρgh+(2σ/r) (16)
[0134] where:
[0135] C V is the carbon content of molten steel in the vacuum chamber, ppm; P CO is the partial pressure of CO in molten steel, Pa; K CO is the equilibrium constant of [C]+[O]=CO carbon-oxygen reaction at the reaction interface; K V are model parameters; C i , O CO is the concentration of carbon and oxygen at the interface of molten steel and gas phase, ppm; h is the depth from the surface of molten steel to the position of the bubble, m; P 0 Air pressure in the vacuum chamber, Pa; ρ is the density of molten steel, kg/m 3;σ is the surface tension, N/m; r is the diameter of the CO bubble, m.
[0136] The carbon-oxygen equilibrium constant K at the reaction interface in Eq. (15) CO It can be obtained from equation (17):
[0137] lg 1 K CO = lg C S O S P CO = - ( 1160 T t + 2.003 ) - - - ( 17 )
[0138] where:
[0139] C S is the carbon content at the reaction interface, ppm; O S is the oxygen content at the reaction interface, ppm; T t is the real-time temperature of molten steel, °C.
[0140] The real-time temperature of molten steel is calculated by formula (18):
[0141] T t =T 0 +ΔT c -ΔT lin -ΔT g -ΔT rad -ΔT zks -ΔT alloy (18)
[0142] where:
[0143] T t is the real-time temperature of molten steel, °C; T 0 is the initial temperature of molten steel, °C; ΔT c , ΔT lin , ΔT g , ΔT rad , ΔT zks , ΔT alloy They are the thermal effect of the decarburization reaction, the heat dissipation of the cladding, the heat loss of argon gas, the radiation heat dissipation of molten steel in the vacuum chamber, the heat dissipation of the vacuum chamber lining, and the change of the molten steel temperature caused by the heat loss of the added alloy, °C.
[0144] (2) The decarburization rate of the free surface of molten steel in the vacuum chamber can be obtained from formula (19):
[0145] Q sur = - d C V dt = 1000 M C k C k L ρ A V ( C V O i K CO - P CO ) w ( 100 M C k C Q i K CO + k L ρR T t ) - - - ( 19 )
[0146] where:
[0147] w is the molten steel volume in the vacuum chamber, t; M C is the atomic mass of carbon; k C is the rate constant of the chemical reaction at the interface, m/s; k L is the carbon mass transfer coefficient in molten steel, m/s; A V is the effective free surface area of ​​the vacuum chamber, m 2;PCO is the partial pressure of CO in the vacuum chamber, Pa; T t is the real-time temperature of molten steel, °C; w is the weight of molten steel in the vacuum chamber, t; O i is the oxygen content of the free surface of the droplet × 10 -6; R is the ideal gas constant, 8.314J·(mol·K) -1.
[0148] The real-time temperature of molten steel in formula (19) is calculated from formula (18).
[0149] (3) The decarburization rate of the argon bubble surface in the vacuum chamber can be obtained from the formula (20):
[0150] Q Ar = - d C V dt = - G s 0.024 C V O V K CO f w 100 M C ( C V O V K CO f - P ) - - - ( 20 )
[0151] where:
[0152] G s is the argon circulation rate, L/min; f is the decarburization efficiency, P CO,i is the partial pressure of CO on the surface of the bubble, Pa; O V is the oxygen content of molten steel in the vacuum chamber, ppm; P is the atmospheric pressure, Pa.
[0153] (4) The decarburization rate of the splash droplet in the vacuum chamber can be obtained from the formula (21):
[0154] Q dro = Nq = N [ 1 - 6 π 2 Σ n = 1 ∞ 1 n 2 exp ( - n 2 π 2 D C θ R 2 ) ] ( C V - C S ) - - - ( 21 )
[0155] where:
[0156] N is the number of droplets at the current moment; D C is the mass transfer coefficient of carbon, cm/s; θ is the residence time of the droplet in the vacuum chamber, s.
[0157] (5) The decarburization rate on the surface of the argon bubbles in the riser can be obtained from equation (22):
[0158] Q Ar , p = - d C V dt = P V P - G s 0.024 C V O V K CO f w 100 M C ( C V O V K CO f - P ) - - - ( 22 )
[0159] where:
[0160] P V is the pressure in the vacuum chamber, Pa; M C is the atomic mass of carbon.
[0161] Step 6: judge whether the carbon content calculated in step 5 satisfies the requirement of being less than the target carbon content, if so, go to step 7, if not, continue to carry out decarburization treatment, go to step 5;
[0162] Step 7: Output the carbon content value in molten steel;
[0163] Step 8: determine whether the molten steel needs to be alloyed, if necessary, go to step 9, if not, go to step 12;
[0164] Step 9: Determine the alloying elements and alloy additions that need to be fine-tuned and calculate the final composition of molten steel;
[0165] According to the initial composition and target composition of molten steel, the alloying composition required for molten steel is judged, and the composition of molten steel after alloying is predicted by formula (23):
[0166] [ m j ] = [ m j ] 0 + Δ [ m j ] + Σ ( g i · c i , j ) × f i W m + Σ g i × 100 % - - - ( 23 )
[0167] where:
[0168] [m j ] is the content of element j in the molten steel at the end point, %; [m j ] 0 is the content of element j in the initial molten steel, %; Δ[m j ] is the variation of j element during RH refining, when j is silicon and manganese, Δ[m j ] are the changes of silicon and manganese respectively, when j is other elements Δ[m j ] zero, %; g i is the added amount of alloy i, kg; c i,j is the content of element j in alloy i, %; f j is the yield of element j; W m is the weight of molten steel in the ladle, kg.
[0169] When the alloying elements are silicon and manganese, Δ[m in formula (23) j ] is calculated as follows:
[0170] In the embodiment of the present invention, by analyzing the production data, Origin is used to fit the relationship between the change amount of silicon and the amount of acid-soluble aluminum in the molten steel as follows: image 3 shown, and the fitting equation is obtained as:
[0171] Δ[%Si]=-0.03659+2.15336[%Al] s -35.00126[%Al] s 2 +221.98359[%Al] s 3 (twenty four)
[0172] where:
[0173] Δ[%Si] is the change of silicon during refining, %; [%Al] s is the real-time acid-soluble aluminum content in molten steel, %.
[0174] During RH treatment, the content of acid-soluble aluminum in molten steel is constantly changing, and the change rule can be expressed by formula (25) through statistical analysis of production data:
[0175] [ % Al ] s = [ % Al ] s 0 - 0.00038 t - - - ( 25 )
[0176] where:
[0177] is the initial acid-soluble aluminum content in molten steel, %; t is the RH refining time, min.
[0178] In the embodiment of the present invention, by analyzing the production data, Origin is used to fit the relationship between the change of manganese and the amount of acid-soluble aluminum in the molten steel as follows: Figure 4 shown, and the fitting equation is obtained as:
[0179] Δ[%Mn]=0.02396-0.84873[%Al] s +8.33233[%Al] s 2 (26)
[0180] where:
[0181] Δ[%Mn] is the change in manganese during refining, %.
[0182] Substitute equations (24), (25) and (26) into equation (23) to obtain the final contents of silicon and manganese in molten steel.
[0183] Step 10: Determine whether the component that needs to be fine-tuned meets the target component requirement range, if so, go to step 12, if not, go to step 11;
[0184] Step 11: Correct the alloy yield, and go to step 10 after correction;
[0185] The alloy yield is calculated by the reference heat method and element conservation. The yield correction process is as follows:
[0186] Compare the alloy yield of this heat calculated by calculating the amount of alloy added and the molten steel composition measured by sampling after adding the alloy with the initial yield collected in step 1. If they are the same, the initial yield is still used. If it is different, use the calculated alloy yield to continue to calculate the added amount of alloy and store the yield into the database for use in the next heat.
[0187] Step 12: output the content of alloy components in molten steel;
[0188] Step 13: output the final composition of molten steel;
[0189] Step 14: end;
[0190] Through on-site tracking and debugging, the system selects the steel grades in Table 1 to conduct online verification of the degassing and decarburization results of molten steel. The results are shown in Table 1:
[0191] Table 1
[0192]
[0193] Table 2 shows the end-point composition prediction verification results after molten steel alloying.
[0194] Table 2
[0195]
[0196]
[0197] From the results in Table 1 and Table 2, it can be seen that when the system and method of the present invention is used to predict the composition of molten steel for corresponding steel types, the error between the predicted value and the actual value is very low, which ensures high accuracy in predicting the composition of molten steel and can Comprehensive prediction of molten steel composition during RH refining.
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