CN107287380A - A kind of slag composition on-line prediction method - Google Patents
A kind of slag composition on-line prediction method Download PDFInfo
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
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Abstract
The invention discloses a kind of slag composition on-line prediction method, belong to slag composition detection field.The present invention comprises the following steps:Step A:Get out slag composition and weight computing module;Step B:Slag composition and weight are calculated;Step C:Result of calculation in step B is stored in data memory module, and is sent to picture display terminal and is shown;Step D:Result of calculation synchronous driving in step B to automatic steel-making control module is used for the calculating of automatic steelmaking model;Step E:Judge whether heat blowing terminates, if not terminating, step B is transferred to, otherwise, into next step;Step F:Judge whether heat terminates, if terminating, the self study for carrying out parameter is calculated, otherwise, is waited;Step G:Terminate.It is an object of the invention to overcome the shortcomings of that existing measuring method is present can not meet slag composition on-line real-time measuremen there is provided slag composition on-line prediction method solve above mentioned problem to a certain degree.
Description
Technical field
The present invention relates to slag composition detection field, more specifically to a kind of slag composition on-line prediction method.
Background technology
Clinker is one of important products in smelting process, and it is by the impurity in raw material and slag making materials shape in melting
Into high-temperature slag.In smelting process, the chemical composition of clinker affects the quality of product, and its component must be controlled by,
Quick and precisely analysis to its usual ingredients is particularly important.
At present, the measurement analysis to slag composition uses offline mode substantially, mainly including chemical method, atomic absorption spectrum
Method, x ray fluorescence spectrometry and inductively coupled plasma atomic emissions spectrometry etc..Such as patent publication No.:CN
106248707A, publication date:On December 21st, 2016, invention and created name is:Ni in a kind of quick translocation flash smelting clinker,
Cu、Fe、S、CaO、MgO、SiO2, Pb, Zn, As, Sb, Bi analysis method, the analysis method of this application case is according to following
Step is carried out:The preparation of print, the preparation of standard sample of photo, instrumental shift corrects the preparation of print, instrumental shift correction print
Determine, choose particular substrate bearing calibration, the calculating of the measure and analysis result of print, this application case has the beneficial effect that:Adopt
With pressed powder, quickly, the multielement survey of 1 sample can be completed to sample pretreatment process by realizing in quick measure, 10min
Fixed, efficiency is high, and Instrumental Analysis parameter and matrix correction pattern easy to operate, unique explore suitable Instrumental Analysis
Parameter and unique correction mode, solve Partial Elements standard curve and return non-linear technical problem, can carry out multielement
Translocation, realizes the translocation of main amount composition and secondary amounts composition.
But, measure on the one hand that relatively cumbersome, speed is slow, waste time and energy, separately to slag composition using offline mode
On the one hand it is difficult to meet online production for knowing the demand of slag composition in time, in view of the above-mentioned problems, occurring in the prior art
The technology of on-line measurement slag composition, such as patent publication No.:The A of CN 102305785, publication date:On 01 04th, 2012,
Invention and created name is:Molten slag composition real time on-line monitoring device, it is real that this application case discloses a kind of molten slag composition
When on-Line Monitor Device, including the resident measurement mechanical arm of laser guide arm, optical detection probe, multiple spot, signal occur and collection
Process part and rear end control system.Laser guide arm occurs and acquisition process part and optical detection probe phase with signal respectively
Connection;Optical detection probe is T-shaped three-port structure, and it is high anti-that inside is fixed with beam-expanding collimation lens group, 45 ° of laser wavelength of incidence
The high lens of 180-900nm, lens array and condenser lens, and fiber coupling interface is configured with, outside is equipped with laser range finder;Letter
Number occur to include Q-switched laser, spectrometer, Intensified Charge Coupled Device and microprocessor etc. with acquisition process part;Rear end
Control system mainly completes the control of the resident measurement mechanical arm and cooling gas flow etc. of laser range finder, multiple spot.This application
The characteristics of case has that analyze speed is fast, need not sampled, can realize Multiple components in molten slag simultaneously under high-temperature severe environment
Real time on-line monitoring.But, the on-Line Monitor Device of this application case is complicated, and operating cost is higher.
In recent years, in order to obtain the molten steel of more low phosphorus content and while reduce cost of material, some domestic and international steel mills land
Continuous exploitation top-blown converter stays slag double slag process deep dephosphorization technology, and slag composition real-time computing technique is applied into this technique, can be according to
Opportunity and the deslagging amount of converter midway deslagging operation are determined according to the slag composition of real-time prediction.Conventional slag composition is real at present
When computational methods be to combine converter material balance and thermal balance to carry out inverse slag composition, the method has some following problem:(1) supervise
The delay that the retardance of instrument can cause result of calculation to forecast is surveyed, result of calculation is lost real-time;(2) missing of primary data
Material balance and equation of heat balance group can be made without solution, cause slag composition can not accurate forecast;(3) in process of production, supervise
Surveying the error of instrument can not estimate, so resulting error calculated can not be eliminated.
In summary, how to overcome existing measuring method presence can not meet slag composition on-line real-time measuremen not
Foot, is the technical problem of urgent need to resolve in the prior art.
The content of the invention
1. the invention technical problem to be solved
Slag composition on-line real-time measuremen can not be met it is an object of the invention to overcome that existing measuring method is present
Deficiency solves above mentioned problem to a certain degree there is provided a kind of slag composition on-line prediction method.
2. technical scheme
To reach above-mentioned purpose, the technical scheme that the present invention is provided is:
The slag composition on-line prediction method of the present invention, comprises the following steps:
Step A:When converter heat starts blowing, slag composition and weight computing module are got out;
Step B:Start slag composition and weight computing module, slag composition and weight are calculated;
Step C:Result of calculation in step B is stored in data memory module, and is sent to picture display terminal and is shown;
Step D:If converter system has automatic steel-making control module, by the result of calculation synchronous driving in step B to certainly
Dynamic steel-making control module is used for the calculating of automatic steelmaking model;
Step E:Judge whether heat blowing terminates, if not terminating, step B is transferred to, otherwise, into next step;
Step F:Judge whether heat terminates, if terminating, the self study for carrying out parameter is calculated, otherwise, is waited;
Step G:Terminate.
As further improvement of the present invention, slag composition and weight calculation procedure are as follows in step B:
(1) calculating of converter molten steel weight
WMS=(Wiron*a1+Wscrap*a2+Wore*a3) * a4
Wherein:
WMSRepresent converter molten steel weight;Wiron represents the weight of molten iron;Wscrap represents the weight of steel scrap;Wore is represented
The weight of iron ore;
(2) in clinker CaO, MgO weight calculating
WCaO=b1* Σ Mate*PCa+Wslag1*PCaO1
WMgO=b2* Σ Mate*PMg+Wslag1*PMgO1
Wherein:
WCaO represents the weight of CaO in clinker;WMgO represents the weight of MgO in clinker;
Mate represents the various auxiliary material weight added;PCa represents the content of Ca in correspondence auxiliary material;PMg represents correspondence auxiliary material
Middle Mg content;Wslag1 represents that a stove stays the weight of slag;PCaO1 represents that a stove stays the content of CaO in slag;PMgO1 tables
Show that a stove stays the content of MgO in slag;
(3) in molten steel Si, Mn, P and S content calculating
1. in molten steel Si contents calculating
[Si%]=C1e-nt+C2
Wherein, Si% represents the content of Si in molten steel;C1Represent equation constant;C2Represent equation optimization constant;N is reaction
The numerical value of silicon oxidizing property;T is time parameter, represents the time of blowing;E represents natural constant;
2. in molten steel Mn contents calculating
[Mn%]=A-Bt+Ct2-Dt3+Et4-Ft5
Wherein, Mn% represents the content of Mn in molten steel;A, B, C, D, E and F represent equation correction constant respectively;T represents to blow
The time of refining;
3. in molten steel P content calculating
Wherein, P% represents the content of P in molten steel;WACPRepresent the amount for the phosphorus that auxiliary material is brought into;WMSRepresent converter molten steel weight;
T represents the time of blowing;
[P%]0Represent the initial content of phosphorus in molten steel;
Vp represents the real-time oxidation rate of phosphorus;
4. in molten steel S contents calculating
Wherein, S% represents the content of S in molten steel;WACSRepresent the amount for the sulphur that auxiliary material is brought into;WMSRepresent converter molten steel weight;
T represents the time of blowing;
[S%]0Represent the initial content of sulphur in molten steel;VSRepresent desulfurization rate;
(4) SiO in clinker2、Mn、P2O5With the calculating of S weight
①SiO2Weight calculating
WSiO2=(Wiron*PSi-WMS* [Si%]) * 15/7
Wherein, WSiO2Represent SiO in clinker2Weight;Wiron represents the weight of molten iron;PSi represents containing for Si in molten iron
Amount;WMSRepresent converter molten steel weight;[Si%] represents the content of Si in molten steel;
2. the calculating of Mn weight
WMn=Wiron*PMn-WMS* [Mn%]
Wherein, WMn represents the weight of Mn in clinker;Wiron represents the weight of molten iron;PMn represents the content of Mn in molten iron;
WMSRepresent converter molten steel weight;[Mn%] represents the content of Mn in molten steel;
③P2O5Weight calculating
WP2O5=(Wiron*PP-WMS* [P%]) * 11/3
Wherein, WP2O5Represent P in clinker2O5Weight;Wiron represents the weight of molten iron;PP represents containing for P in molten iron
Amount;WMSRepresent converter molten steel weight;[P%] represents the content of P in molten steel;
4. the calculating of S weight
WS=Wiron*PS-WMS* [S%]
Wherein, WS represents the weight of S in clinker;Wiron represents the weight of molten iron;PS represents the content of S in molten iron;WMSTable
Show converter molten steel weight;[S%] represents the content of S in molten steel;
(5) CaO, MgO, SiO in clinker2、Mn、P2O5With S cubage
Wslag2=WCaO+WMgO+WSiO2+WMn+WP2O5+ WS,
Wherein, Wslag2 represents CaO, MgO, SiO in clinker2、MnO、P2O5With S weight and;
The gross weight of clinker:WSlag=Wslag2/ α;
PCaO=WCaO/WSlag;
PMgO=WMgO/WSlag;
PSiO2=WSiO2/WSlag;
PMn=WMn/WSlag;
PP2O5=WP2O5/WSlag;
PS=WS/WSlag;
(6) in above-mentioned calculating, if there is the generation of midway deslagging before certain calculating, the slag amount of calculating is needed in subtracting
The weight of way deslagging.
As further improvement of the present invention, in step B, a1, a2, a3 and a4 are design factor, its span point
It is not:
a1:(0.85,0.99);a2:(0.88,0.99);a3:(0.50,0.75);a4:(0.95,0.98);
B1, b2 are constant, and b1 represents the conversion coefficient between Cao and Ca, b1=1.4;B2 represents changing between MgO and Mg
Calculate coefficient, b2=1.66;
A, B, C, D, E and F are in the range of A:(1.11943,1.13117);B:(0.41125,0.42678);C:
(0.07241,0.07411);D:(0.00568,0.00598);E:(0.000206025,0.000208027);F:
(0.00000275161,0.00000275477).
As further improvement of the present invention, [P%]0Calculation formula be:[P%]0=Wiron*Pp/WMS,
Wherein, Wiron represents the weight of molten iron;Pp represents phosphorus content in molten iron;WMSRepresent converter molten steel weight;
Vp calculation formula is:
Wherein, P% represents the content of P in molten steel;T represents the time of blowing;A represents slag-gold interface effective area, its etc.
In (2.3,2.7) * converter burner hearth areas of section;The total speed constant of dephosphorisation reaction is represented, its scope is (1.67,2.43);WMS
Represent converter molten steel weight;[P%]0Represent the initial content of phosphorus in molten steel;Lp represents the golden distribution ratio of the slag of phosphorus, its span
It is (30,200).
As further improvement of the present invention, [S%]0Calculation formula be:
[S%]0=Wiron*Ps/WMS, wherein, Wiron represents the weight of molten iron;Ps represents the content of Sulfur Content in Hot Iron;WMS
Represent converter molten steel weight;
VSCalculation formula be:
Wherein, S% represents the content of S in molten steel;T represents the time of blowing;A represents slag-gold interface effective area, its etc.
In (2.3,2.7) * converter burner hearth areas of section;Represent desulphurization reaction overall reaction rate constant;WMSRepresent converter molten steel weight
Amount;[S%]0Represent the initial content of sulphur in molten steel;LSRepresent the distribution ratio of sulphur.
As further improvement of the present invention, in molten steel in the calculating process of Si contents, C1Scope be (0.367,
1.319);C2Scope be (- 0.005,0.005);N scope is (- 1.233, -1.054);
CaO, MgO, SiO in clinker2、Mn、P2O5During S cubage, α spans are (0.75,0.81).
3. beneficial effect
The technical scheme provided using the present invention, compared with prior art, with following remarkable result:
(1) comprehensive present context, it is known that the maximum innovative point of this slag composition on-line prediction method is:By clinker
Composition And Real-time Forecasting Model is applied to double slag techniques, that is, proposes the thought of slag composition real-time prediction, with its real-time and
Accuracy, provides convenient for the judgement of a deslagging opportunity and a deslagging amount;Wherein, if deslagging opportunity, easily causes de- too early
Phosphorus rate is low, and slag viscosity is excessive, and deslagging is not smooth;If deslagging opportunity is too late, because temperature is high, rephosphorization is easily caused, dephosphorization is reduced
Rate;If deslagging amount is excessive, iron loss is serious, and slag material consumption is big;If deslagging amount is too small, dephosphorization rate reduction is easily caused.And this hair
Bright method is easy to use, with it, can in accurate, real-time prediction converter steelmaking process clinker composition, be converter smelting
The control such as slag tap of the centre of molten steel composition, temperature control and duplex process steel making during refining provides foundation.
(2) present invention calculates the content and weight of various composition contained by clinker in molten steel using computation model in real time, overcomes
What existing measuring method was present can not meet the deficiency of slag composition on-line real-time measuremen, can provide reliably finger for deslagging operation
Lead, according to slag composition real-time prediction, determine deslagging opportunity and deslagging amount, it is possible to increase the molten steel yield and matter of smelting process
Amount, produces considerable economic benefit, and can predict slag composition of the converter in smelting process in real time, exactly.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be attached to what is used required in embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the flow chart of the slag composition on-line prediction method of embodiment 1;
Fig. 2 be embodiment 1 in onsite application when real-time calculating interface sectional drawing;
Fig. 3 be embodiment 2 in onsite application when real-time calculating interface sectional drawing;
Fig. 4 be embodiment 3 in onsite application when real-time calculating interface sectional drawing.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Therefore, embodiments of the invention below to providing in the accompanying drawings
Detailed description be not intended to limit the scope of claimed invention, but be merely representative of the present invention selected embodiment.
Based on the embodiment in the present invention, it is all that those of ordinary skill in the art are obtained under the premise of creative work is not made
Other embodiment, belongs to the scope of protection of the invention.
To further appreciate that present disclosure, the present invention is described in detail in conjunction with the accompanying drawings and embodiments.
Embodiment 1
With reference to Fig. 1, the slag composition on-line prediction method of the present embodiment comprises the following steps:
Step A:When converter heat starts blowing, slag composition and weight computing module are got out;
Step B:Start slag composition and weight computing module, slag composition and weight are calculated;
Slag composition and weight calculation procedure are as follows in step B:
(1) calculating of converter molten steel weight
The molten steel of converter tapping is mainly determined that its calculation formula is such as by the iron-holder in molten iron, steel scrap and iron ore
Under:
WMS=(Wiron*a1+Wscrap*a2+Wore*a3) * a4
Wherein:
WMSRepresent converter molten steel weight, unit (Kg);Wiron represents the weight of molten iron, unit (Kg);Wscrap represents useless
The weight of steel, unit (Kg);Wore represents the weight of iron ore, unit (Kg);
A1, a2, a3 and a4 are design factor, and its span is respectively:
a1:(0.85,0.99);a2:(0.88,0.99);a3:(0.50,0.75), the iron content of iron ore with grade not
Together, span deviation is larger;a4:(0.95,0.98);
(2) in clinker CaO, MgO weight calculating
CaO, MgO are to stay slag by the generations such as the lime in the various auxiliary materials in addition converter, magnesium ball, in addition to a upper stove
Bring into, its calculation formula is as follows:
WCaO=b1* Σ Mate*PCa+Wslag1*PCaO1
WMgO=b2* Σ Mate*PMg+Wslag1*PMgO1
Wherein:
WCaO represents the weight of CaO in clinker, unit (Kg);WMgO represents the weight of MgO in clinker, unit (Kg);
Mate represents the various auxiliary material weight added;PCa represents the content of Ca in correspondence auxiliary material;PMg represents correspondence auxiliary material
Middle Mg content;Wslag1 represents that a stove stays the weight of slag, unit (Kg);PCaO1 represents that a stove stays containing for CaO in slag
Amount;PMgO1 represents that a stove stays the content of MgO in slag;
B1, b2 are constant, and b1 represents the conversion coefficient between Cao and Ca, b1=1.4;B2 represents changing between MgO and Mg
Calculate coefficient, b2=1.66;
(3) in molten steel Si, Mn, P and S content calculating
1. in molten steel Si contents calculating
[Si%]=C1e-nt+C2
Wherein, Si% represents the content of Si in molten steel, unit (%);C1Equation constant is represented, with actual smelting condition
Correlation, such as converter size, blow system, molten iron band slag etc., and scope is that value is in (0.367,1.319), the present embodiment
0.629;C2Equation optimization constant is represented, scope is that value is 0 in (- 0.005,0.005), the present embodiment;N is reaction silicon oxidation
The numerical value of property, its scope of experimental determination is value -1.188 in (- 1.233, -1.054), the present embodiment;T joins for the time
Number, unit (Min) represents the time of blowing;E represents natural constant;
2. in molten steel Mn contents calculating
[Mn%]=A-Bt+Ct2-Dt3+Et4-Ft5
Wherein, Mn% represents the content of Mn in molten steel, unit (%);A, B, C, D, E and F represent that equation correction is normal respectively
Number, according to industrial field data, can be determined in the range of A respectively:Value in (1.11943,1.13117), the present embodiment
1.1231;B:Value 0.41875 in (0.41125,0.42678), the present embodiment;C:(0.07241,0.07411), the present embodiment
Middle value 0.07331;D:0.00576 is taken in (0.00568,0.00598), the present embodiment;E:(0.000206025,
0.000208027), 0.000207000 is taken in the present embodiment;F:(0.00000275161,0.00000275477), the present embodiment
In take 0.00000275300;T represents the time of blowing, unit (Min);
3. in molten steel P content calculating
Wherein, P% represents the content of P in molten steel, unit (%);WACPThe amount for the phosphorus that expression auxiliary material is brought into, unit (Kg),
Due to hardly sulfur-bearing in auxiliary material, value is 0 herein;WMSRepresent converter molten steel weight, unit (Kg);T represents the time of blowing,
Unit (Min);
[P%]0Represent the initial content of phosphorus in molten steel, unit (%), [P%]0Calculation formula be:[P%]0=
Wiron*Pp/WMS,
Wherein, Wiron represents the weight of molten iron, unit (Kg);Pp represents phosphorus content in molten iron, unit (%);WMSRepresent
Converter molten steel weight, unit (Kg);
Vp represents the real-time oxidation rate of phosphorus, and Vp calculation formula is:
Wherein, P% represents the content of P in molten steel;T represents the time of blowing;A represent slag-gold interface effective area=
2.7 times are taken in (2.3,2.7) * converter burner hearth areas of section, the present embodiment;The total speed constant of dephosphorisation reaction is represented, scope is
(1.67,2.43), this is an amount changed with temperature and oxygen blast, is determined by site technique, 2.08 are taken in the present embodiment;WMSTable
Show converter molten steel weight;[P%]0Represent the initial content of phosphorus in molten steel;Lp represents the golden distribution ratio of the slag of phosphorus, and its span is
Value 120 in (30,200), the present embodiment;
4. in molten steel S contents calculating
Wherein, S% represents the content of S in molten steel;WACSThe amount for the sulphur that auxiliary material is brought into is represented, due to being practically free of in auxiliary material
Sulphur, value is 0 herein;WMSRepresent converter molten steel weight;T represents the time of blowing;
[S%]0Represent the initial content of sulphur in molten steel, [S%]0Calculation formula be:
[S%]0=Wiron*Ps/WMS, wherein, Wiron represents the weight of molten iron;Ps represents the content of Sulfur Content in Hot Iron;WMS
Represent converter molten steel weight;
VSRepresent desulfurization rate, VSCalculation formula be:
Wherein, S% represents the content of S in molten steel;T represents the time of blowing;A represent slag-gold interface effective area=
2.7 times are taken in (2.3,2.7) * converter burner hearth areas of section, the present embodiment;Represent desulphurization reaction overall reaction rate constant, model
It is (0.64,1.27) to enclose, and this is an amount changed with temperature and oxygen blast, is determined, is taken in the present embodiment by site technique
0.97,;WMSRepresent converter molten steel weight;[S%]0Represent the initial content of sulphur in molten steel;LSRepresent the distribution ratio of sulphur, its value
Scope is 0~1, value 0.5 in the present embodiment;
(4) SiO in clinker2、Mn、P2O5With the calculating of S weight
①SiO2Weight calculating
WSiO2=(Wiron*PSi-WMS* [Si%]) * 15/7
Wherein, WSiO2Represent SiO in clinker2Weight;Wiron represents the weight of molten iron;PSi represents containing for Si in molten iron
Amount;WMSRepresent converter molten steel weight;[Si%] represents the content of Si in molten steel;
2. the calculating of Mn weight
WMn=Wiron*PMn-WMS* [Mn%]
Wherein, WMn represents the weight of Mn in clinker;Wiron represents the weight of molten iron;PMn represents the content of Mn in molten iron;
WMSRepresent converter molten steel weight;[Mn%] represents the content of Mn in molten steel;
③P2O5Weight calculating
WP2O5=(Wiron*PP-WMS* [P%]) * 11/3
Wherein, WP2O5Represent P in clinker2O5Weight;Wiron represents the weight of molten iron;PP represents containing for P in molten iron
Amount;WMSRepresent converter molten steel weight;[P%] represents the content of P in molten steel;
4. the calculating of S weight
WS=Wiron*PS-WMS* [S%]
Wherein, WS represents the weight of S in clinker;Wiron represents the weight of molten iron;PS represents the content of S in molten iron;WMSTable
Show converter molten steel weight;[S%] represents the content of S in molten steel;
(5) CaO, MgO, SiO in clinker2、Mn、P2O5With S cubage
Wslag2=WCaO+WMgO+WSiO2+WMn+WP2O5+ WS,
Wherein, Wslag2 represents CaO, MgO, SiO in clinker2、MnO、P2O5With S weight and;
Contain CaO, MgO due to being removed in clinker2、SiO2、MnO、P2O5Outside S, also containing other compositions, therefore, clinker
Gross weight:WSlag=Wslag/ α, α span are value 0.77 in (0.75,0.81), the present embodiment;
PCaO=WCaO/WSlag;
PMgO=WMgO/WSlag;
PSiO2=WSiO2/WSlag;
PMn=WMn/WSlag;
PP2O5=WP2O5/WSlag;
PS=WS/WSlag;
(6) in above-mentioned calculating, if there is the generation of midway deslagging before certain calculating, the slag amount of calculating is needed in subtracting
The weight of way deslagging;
Step C:Result of calculation in step B is stored in data memory module, and is sent to picture display terminal and is shown;
Step D:If converter system has automatic steel-making control module, by the result of calculation synchronous driving in step B to certainly
Dynamic steel-making control module is used for the calculating of automatic steelmaking model;
Step E:Judge whether heat blowing terminates, if not terminating, step B is transferred to, otherwise, into next step;
Step F:Judge whether heat terminates, if terminating, the self study for carrying out parameter is calculated, otherwise, is waited;
Step G:Terminate.
The slag composition on-line prediction method provided according to above-described embodiment, slag composition and weight computing module are imported
Computer, on-line prediction is carried out by computer to slag composition, and result of calculation is stored in into data memory module, is then transported on
Shown to picture display terminal, Fig. 2 be embodiment 1 in onsite application when real-time calculating interface sectional drawing.
In the slag composition on-line prediction method that the present embodiment is provided, for the different working of a furnaces, its corresponding parameter value
Difference, due to the corresponding slag composition on-line prediction method of all working of a furnaces impossible to exhaust, only with certain steel mill in the present embodiment
Illustrated exemplified by one converter.Simultaneously as design factor a1, a2, a3 are main related to the situation of raw material to a4, and domestic steel
Raw material of the factory without the external steel mill of the image of Buddha equally stable same situation of use, therefore, in embodiment take respectively different a1, a2,
A3 and a4, with the different raw material of correspondence.
In specific the present embodiment, a1=0.87 is taken;A2=0.90;A3=0.51;A4=0.96.Choosing live heat number is
ZM3733 heat is calculated, and the specifying information of the heat is as follows:
Molten iron information:
Blow information:
(1) blow event information:
(2) oxygen blast information:
Calculation error information:
Target error:
The computational methods of the wherein temperature difference are:
The temperature difference=result of calculation-sampling result.
The computational methods of composition error are:
Error=(result of calculation-sampling result)/sampling result.
Conclusion:Every calculation error is more satisfactory.
Embodiment 2
The slag composition on-line prediction method of the present embodiment, its step, parameter are substantially the same manner as Example 1, its difference
Be in:
Take a1=0.91;A2=0.89;A3=0.53;A4=0.95.Live heat number is chosen for ZM4991 heat to enter
Row is calculated, and the specifying information of the heat is as follows:
Molten iron information:
Blow information:
(1) blow event information:
(2) oxygen blast information:
Calculation error information:
Target error:
The computational methods of the wherein temperature difference are:
The temperature difference=result of calculation-sampling result.
The computational methods of composition error are:
Error=(result of calculation-sampling result)/sampling result.
Conclusion:With reference to Fig. 3, only P2O5Error is relatively large, and its remainder error is more satisfactory.
Embodiment 3
The slag composition on-line prediction method of the present embodiment, its step, parameter are substantially the same manner as Example 1, its difference
Be in:
Take a1=0.90;A2=0.92;A3=0.55;A4=0.97.Live heat number is chosen for ZM3734 heat to enter
Row is calculated, and the specifying information of the heat is as follows:
Molten iron information:
Blow information:
(1) blow event information:
(2) oxygen blast information:
Calculation error information:
Target error:
The computational methods of the wherein temperature difference are:
The temperature difference=result of calculation-sampling result.
The computational methods of composition error are:
Error=(result of calculation-sampling result)/sampling result.
Conclusion:With reference to Fig. 4, only TFe errors are relatively large, and its remainder error is more satisfactory.
Clinker is one of important products in smelting process, and it is by the impurity in raw material and slag making materials shape in melting
Into high-temperature slag;In smelting process, the chemical composition of clinker affects the quality of product, and its component must be controlled by,
Quick and precisely analysis to its usual ingredients is particularly important;Comprehensive present context, it is known that this slag composition on-line prediction side
The maximum innovative point of method is:Slag composition And Real-time Forecasting Model is applied to double slag techniques, that is, proposes slag composition real-time
The thought of forecast, with its real-time and accuracy, provides convenient for the judgement of a deslagging opportunity and a deslagging amount;Its
In, if deslagging opportunity, easily causes too early, dephosphorization rate is low, and slag viscosity is excessive, and deslagging is not smooth;If deslagging opportunity is too late, due to
Temperature is high, easily causes rephosphorization, reduces dephosphorization rate;If deslagging amount is excessive, iron loss is serious, and slag material consumption is big;If deslagging amount mistake
It is small, easily cause dephosphorization rate reduction.The method of the present invention is easy to use, with it, can accurate, real-time prediction converter smelting mistake
The composition of clinker in journey, is that the centre of molten steel composition in converter steelmaking process, temperature control and duplex process steel making is slagged tap
Control provides foundation.
The present invention calculates the content and weight of various composition contained by clinker in molten steel using computation model in real time, overcomes existing
The deficiency of slag composition on-line real-time measuremen can not be met with the presence of measuring method, reliable guide can be provided for deslagging operation,
According to slag composition real-time prediction, deslagging opportunity and deslagging amount are determined, it is possible to increase the molten steel yield and quality of smelting process, produce
Raw considerable economic benefit, and slag composition of the converter in smelting process can be predicted in real time, exactly.
Schematical above that the present invention and embodiments thereof are described, the description does not have restricted, institute in accompanying drawing
What is shown is also one of embodiments of the present invention, and actual structure is not limited thereto.So, if the common skill of this area
Art personnel are enlightened by it, without departing from the spirit of the invention, are designed and the technical scheme without creative
Similar frame mode and embodiment, all should belong to protection scope of the present invention.
Claims (6)
1. a kind of slag composition on-line prediction method, it is characterised in that comprise the following steps:
Step A:When converter heat starts blowing, slag composition and weight computing module are got out;
Step B:Start slag composition and weight computing module, slag composition and weight are calculated;
Step C:Result of calculation in step B is stored in data memory module, and is sent to picture display terminal and is shown;
Step D:If converter system has automatic steel-making control module, by the result of calculation synchronous driving in step B to automatic refining
Steel control module is used for the calculating of automatic steelmaking model;
Step E:Judge whether heat blowing terminates, if not terminating, step B is transferred to, otherwise, into next step;
Step F:Judge whether heat terminates, if terminating, the self study for carrying out parameter is calculated, otherwise, is waited;
Step G:Terminate.
2. slag composition on-line prediction method according to claim 1, it is characterised in that
Slag composition and weight calculation procedure are as follows in step B:
(1) calculating of converter molten steel weight
WMS=(Wiron*a1+Wscrap*a2+Wore*a3) * a4
Wherein:
WMSRepresent converter molten steel weight;Wiron represents the weight of molten iron;Wscrap represents the weight of steel scrap;Wore represents iron ore
The weight of stone;
(2) in clinker CaO, MgO weight calculating
WCaO=b1* Σ Mate*PCa+Wslag1*PCaO1
WMgO=b2* Σ Mate*PMg+Wslag1*PMgO1
Wherein:
WCaO represents the weight of CaO in clinker;WMgO represents the weight of MgO in clinker;
Mate represents the various auxiliary material weight added;PCa represents the content of Ca in correspondence auxiliary material;PMg represents Mg in correspondence auxiliary material
Content;Wslag1 represents that a stove stays the weight of slag;PCaO1 represents that a stove stays the content of CaO in slag;PMgO1 is represented
One stove stays the content of MgO in slag;
(3) in molten steel Si, Mn, P and S content calculating
1. in molten steel Si contents calculating
[Si%]=C1e-nt+C2
Wherein, Si% represents the content of Si in molten steel;C1Represent equation constant;C2Represent equation optimization constant;N is reaction silica
Change the numerical value of property;T is time parameter, represents the time of blowing;E represents natural constant;
2. in molten steel Mn contents calculating
[Mn%]=A-Bt+Ct2-Dt3+Et4-Ft5
Wherein, Mn% represents the content of Mn in molten steel;A, B, C, D, E and F represent equation correction constant respectively;T represents blowing
Time;
3. in molten steel P content calculating
<mrow>
<mo>&lsqb;</mo>
<mi>P</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
<mo>=</mo>
<msub>
<mrow>
<mo>&lsqb;</mo>
<mi>P</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
</mrow>
<mn>0</mn>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>W</mi>
<mrow>
<mi>A</mi>
<mi>C</mi>
<mi>P</mi>
</mrow>
</msub>
<msub>
<mi>W</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<munderover>
<mo>&Integral;</mo>
<mn>0</mn>
<mi>t</mi>
</munderover>
<msub>
<mi>V</mi>
<mi>P</mi>
</msub>
<mi>d</mi>
<mi>t</mi>
</mrow>
Wherein, P% represents the content of P in molten steel;WACP represents the amount for the phosphorus that auxiliary material is brought into;WMSRepresent converter molten steel weight;T tables
Show the time of blowing;
[P%]0Represent the initial content of phosphorus in molten steel;
Vp represents the real-time oxidation rate of phosphorus;
4. in molten steel S contents calculating
<mrow>
<mo>&lsqb;</mo>
<mi>S</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
<mo>=</mo>
<msub>
<mrow>
<mo>&lsqb;</mo>
<mi>S</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
</mrow>
<mn>0</mn>
</msub>
<mo>+</mo>
<mfrac>
<msub>
<mi>W</mi>
<mrow>
<mi>A</mi>
<mi>C</mi>
<mi>S</mi>
</mrow>
</msub>
<msub>
<mi>W</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<munderover>
<mo>&Integral;</mo>
<mn>0</mn>
<mi>t</mi>
</munderover>
<msub>
<mi>V</mi>
<mi>S</mi>
</msub>
<mi>d</mi>
<mi>t</mi>
</mrow>
Wherein, S% represents the content of S in molten steel;WACSRepresent the amount for the sulphur that auxiliary material is brought into;WMSRepresent converter molten steel weight;T tables
Show the time of blowing;
[S%]0Represent the initial content of sulphur in molten steel;VSRepresent desulfurization rate;
(4) SiO in clinker2、Mn、P2O5With the calculating of S weight
①SiO2Weight calculating
WSiO2=(Wiron*PSi-WMS* [Si%]) * 15/7
Wherein, WSiO2Represent SiO in clinker2Weight;Wiron represents the weight of molten iron;PSi represents the content of Si in molten iron;
WMSRepresent converter molten steel weight;[Si%] represents the content of Si in molten steel;
2. the calculating of Mn weight
WMn=Wiron*PMn-WMS* [Mn%]
Wherein, WMn represents the weight of Mn in clinker;Wiron represents the weight of molten iron;PMn represents the content of Mn in molten iron;WMSTable
Show converter molten steel weight;[Mn%] represents the content of Mn in molten steel;
③P2O5Weight calculating
WP2O5=(Wiron*PP-WMS* [P%]) * 11/3
Wherein, WP2O5Represent P in clinker2O5Weight;Wiron represents the weight of molten iron;PP represents the content of P in molten iron;WMS
Represent converter molten steel weight;[P%] represents the content of P in molten steel;
4. the calculating of S weight
WS=Wiron*PS-WMS* [S%]
Wherein, WS represents the weight of S in clinker;Wiron represents the weight of molten iron;PS represents the content of S in molten iron;WMSRepresent to turn
Stove Metal Weight;[S%] represents the content of S in molten steel;
(5) CaO, MgO, SiO in clinker2、Mn、P2O5With S cubage
Wslag2=WCaO+WMgO+WSiO2+WMn+WP2O5+ WS,
Wherein, Wslag2 represents CaO, MgO, SiO in clinker2、MnO、P2O5With S weight and;
The gross weight of clinker:WSlag=Wslag2/ α;
PCaO=WCaO/WSlag;
PMgO=WMgO/WSlag;
PSiO2=WSiO2/WSlag;
PMn=WMn/WSlag;
PP2O5=WP2O5/WSlag;
PS=WS/WSlag;
(6) in above-mentioned calculating, if there is the generation of midway deslagging before certain calculating, the slag amount of calculating needs to subtract to fall halfway
The weight of slag.
3. slag composition on-line prediction method according to claim 2, it is characterised in that:
In step B, a1, a2, a3 and a4 are design factor, and its span is respectively:
a1:(0.85,0.99);a2:(0.88,0.99);a3:(0.50,0.75);a4:(0.95,0.98);
B1, b2 are constant, and b1 represents the conversion coefficient between Cao and Ca, b1=1.4;B2 represents the conversion system between MgO and Mg
Number, b2=1.66;
A, B, C, D, E and F are in the range of A:(1.11943,1.13117);B:(0.41125,0.42678);C:(0.07241,
0.07411);D:(0.00568,0.00598);E:(0.000206025,0.000208027);F:(0.00000275161,
0.00000275477)。
4. slag composition on-line prediction method according to claim 3, it is characterised in that:
[P%]0Calculation formula be:[P%]0=Wiron*Pp/WMS,
Wherein, Wiron represents the weight of molten iron;Pp represents phosphorus content in molten iron;WMSRepresent converter molten steel weight;
Vp calculation formula is:
<mrow>
<msub>
<mi>V</mi>
<mi>P</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<mi>d</mi>
<mo>&lsqb;</mo>
<mi>P</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>AK</mi>
<mi>P</mi>
<mi>m</mi>
</msubsup>
</mrow>
<msub>
<mi>W</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
</mrow>
</msub>
</mfrac>
<mo>{</mo>
<msub>
<mrow>
<mo>&lsqb;</mo>
<mi>P</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
</mrow>
<mn>0</mn>
</msub>
<mo>-</mo>
<mfrac>
<mrow>
<mo>(</mo>
<mi>P</mi>
<mi>%</mi>
<mo>)</mo>
</mrow>
<msub>
<mi>L</mi>
<mi>P</mi>
</msub>
</mfrac>
<mo>}</mo>
</mrow>
Wherein, P% represents the content of P in molten steel;T represents the time of blowing;A represents slag-gold interface effective area, and it is equal to
(2.3,2.7) * converter burner hearth areas of section;The total speed constant of dephosphorisation reaction is represented, its scope is (1.67,2.43);WMSTable
Show converter molten steel weight;[P%]0Represent the initial content of phosphorus in molten steel;Lp represents the golden distribution ratio of the slag of phosphorus, and its span is
(30,200).
5. slag composition on-line prediction method according to claim 4, it is characterised in that:
[S%]0Calculation formula be:
[S%]0=Wiron*Ps/WMS, wherein, Wiron represents the weight of molten iron;Ps represents the content of Sulfur Content in Hot Iron;WMSRepresent
Converter molten steel weight;
VSCalculation formula be:
<mrow>
<msub>
<mi>V</mi>
<mi>S</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<mi>d</mi>
<mo>&lsqb;</mo>
<mi>S</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>AK</mi>
<mi>S</mi>
<mi>m</mi>
</msubsup>
</mrow>
<msub>
<mi>W</mi>
<mrow>
<mi>M</mi>
<mi>S</mi>
</mrow>
</msub>
</mfrac>
<mo>{</mo>
<msub>
<mrow>
<mo>&lsqb;</mo>
<mi>S</mi>
<mi>%</mi>
<mo>&rsqb;</mo>
</mrow>
<mn>0</mn>
</msub>
<mo>-</mo>
<mfrac>
<mrow>
<mo>(</mo>
<mi>S</mi>
<mi>%</mi>
<mo>)</mo>
</mrow>
<msub>
<mi>L</mi>
<mi>S</mi>
</msub>
</mfrac>
<mo>}</mo>
</mrow>
Wherein, S% represents the content of S in molten steel;T represents the time of blowing;A represents slag-gold interface effective area, and it is equal to
(2.3,2.7) * converter burner hearth areas of section;Represent desulphurization reaction overall reaction rate constant;WMSRepresent converter molten steel weight;
[S%]0Represent the initial content of sulphur in molten steel;LSRepresent the distribution ratio of sulphur.
6. slag composition on-line prediction method according to claim 5, it is characterised in that:
In molten steel in the calculating process of Si contents, C1Scope be (0.367,1.319);C2Scope be (- 0.005,0.005);
N scope is (- 1.233, -1.054);
CaO, MgO, SiO in clinker2、Mn、P2O5During S cubage, α spans are (0.75,0.81).
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109187182A (en) * | 2018-08-29 | 2019-01-11 | 马鞍山赤源冶金科技有限公司 | A method of for detecting clinker reactivity worth |
CN109541143A (en) * | 2018-11-28 | 2019-03-29 | 西安建筑科技大学 | A kind of prediction technique that the constituent element clinker actual constituent transitivity containing volatilization changes over time |
CN110750911A (en) * | 2019-10-25 | 2020-02-04 | 中冶赛迪重庆信息技术有限公司 | Blast furnace slag physical property analysis method and analysis system |
CN114217592A (en) * | 2021-12-17 | 2022-03-22 | 北京瑞太智联技术有限公司 | Control system and method for copper top-blowing production process |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101818228A (en) * | 2010-03-22 | 2010-09-01 | 马鞍山钢铁股份有限公司 | Control system and control method for tapping and slagging of converter |
TW201321521A (en) * | 2011-11-17 | 2013-06-01 | China Steel Corp | Method of reducing total iron content in converter slag |
CN103397140A (en) * | 2013-07-19 | 2013-11-20 | 东北大学 | System and method for predicating amount of refining slag required during refining and desulfuration of LF (Ladle Furnace) on line |
JP2016048235A (en) * | 2014-08-27 | 2016-04-07 | Jfeスチール株式会社 | Analysis method of slag composition and refining method of molten metal |
-
2017
- 2017-07-04 CN CN201710538427.0A patent/CN107287380B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101818228A (en) * | 2010-03-22 | 2010-09-01 | 马鞍山钢铁股份有限公司 | Control system and control method for tapping and slagging of converter |
TW201321521A (en) * | 2011-11-17 | 2013-06-01 | China Steel Corp | Method of reducing total iron content in converter slag |
CN103397140A (en) * | 2013-07-19 | 2013-11-20 | 东北大学 | System and method for predicating amount of refining slag required during refining and desulfuration of LF (Ladle Furnace) on line |
JP2016048235A (en) * | 2014-08-27 | 2016-04-07 | Jfeスチール株式会社 | Analysis method of slag composition and refining method of molten metal |
Non-Patent Citations (1)
Title |
---|
朱正海 等: "双渣冶炼过程炉渣成分在线预报模型系统的研究与开发", 《第十届中国钢铁年会暨第六届宝钢学术年会论文集》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109187182A (en) * | 2018-08-29 | 2019-01-11 | 马鞍山赤源冶金科技有限公司 | A method of for detecting clinker reactivity worth |
CN109187182B (en) * | 2018-08-29 | 2020-10-23 | 马鞍山赤源冶金科技有限公司 | Method for detecting slag reaction performance |
CN109541143A (en) * | 2018-11-28 | 2019-03-29 | 西安建筑科技大学 | A kind of prediction technique that the constituent element clinker actual constituent transitivity containing volatilization changes over time |
CN109541143B (en) * | 2018-11-28 | 2021-07-06 | 西安建筑科技大学 | Prediction method for actual components and physical property of slag containing volatile components along with time change |
CN110750911A (en) * | 2019-10-25 | 2020-02-04 | 中冶赛迪重庆信息技术有限公司 | Blast furnace slag physical property analysis method and analysis system |
CN110750911B (en) * | 2019-10-25 | 2020-12-22 | 中冶赛迪重庆信息技术有限公司 | Blast furnace slag physical property analysis method and analysis system |
CN114217592A (en) * | 2021-12-17 | 2022-03-22 | 北京瑞太智联技术有限公司 | Control system and method for copper top-blowing production process |
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