CN109425439A - A kind of steel casting interface temperature drop on-line prediction system and its prediction technique - Google Patents
A kind of steel casting interface temperature drop on-line prediction system and its prediction technique Download PDFInfo
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- CN109425439A CN109425439A CN201710738908.6A CN201710738908A CN109425439A CN 109425439 A CN109425439 A CN 109425439A CN 201710738908 A CN201710738908 A CN 201710738908A CN 109425439 A CN109425439 A CN 109425439A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
- G01K7/02—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using thermoelectric elements, e.g. thermocouples
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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
- B22D11/16—Controlling or regulating processes or operations
- B22D11/18—Controlling or regulating processes or operations for pouring
- B22D11/181—Controlling or regulating processes or operations for pouring responsive to molten metal level or slag level
- B22D11/182—Controlling or regulating processes or operations for pouring responsive to molten metal level or slag level by measuring temperature
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- General Physics & Mathematics (AREA)
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Abstract
The invention discloses a kind of steel casting interface temperature drop on-line prediction system and its prediction techniques, including ladle management information system, temperature drop computation model and In-Line Temperature Measure System, temperature drop computation model is with combining and carrying out manifold type calculating between In-Line Temperature Measure System, to realize the temperature drop situation for predicting all ladle molten steel in real time；The ladle management information system includes steel plate baking system, ladle planning management and ladle status system；The In-Line Temperature Measure System includes thermocouple sensor, temperature collecting cell, main control unit and the ladle temperature measurement data library unit set on ladle liner, thermocouple sensor is connected with the receiving end of temperature collecting cell, and the transmitting terminal of temperature collecting cell is connected with the receiving end of ladle temperature measurement data library unit.The present invention solves the problems, such as that traditional tapping temperature formulates the rigidity superposition there are each process temperature drop and leads to that tapping temperature is higher, computation model correction data limitation.
Description
Technical field
The present invention relates to steel industry interface temperature drop forecasting systems, cast interface molten steel temperature more specifically to a kind of steel
On-line prediction system and its prediction technique drop.
Background technique
Modern times steel-making is centered on continuous casting, the formulation process of traditional tapping temperature are as follows: continuous casting station is according to different steel grades
Liquidus temperature, and production, equipment state obtain rigidity superposition by different process temperature drop estimated values and formulate converter or electricity
Furnace molten steel tapping temperature.For the stabilization and continuity of production, the formulation of tapping temperature is generally higher, and energy cost accounts for about steel
The 30% of iron cost, especially smelting region, reduce energy consumption at the important means of iron company's cost efficiency it
One, 1 DEG C of tapping temperature of every reduction reduces 0.5~3 yuan/ton of steel of cost, and reducing tapping temperature is to reduce steel making working procedure cost
Important content, reducing it, rigidly superposition is one of approach.
If the temperature for reducing each process is rigidly superimposed, it is required to relatively accurate and each station that calculates to a nicety
Temperature drop situation, and then realize reduce tapping temperature target.With information-based development, a system is carried out both at home and abroad
The commercialized ladle Information Management System of column mainly includes that ladle information management system covers ladle position tracking, ladle
Bale No. identification, the optimization of ladle Basic Information Management, ladle, which are matched, assures reason, ladle-pot hot-repair management, ladle cold repair management, ladle week
Turn to check management, ladle baking management, ladle production planning management.For example western mark company exploitation of typical representative system
The ladle integrated management system developed one after another of X-PACT ladle management system, Baosight and Zhong Ye group.Ladle letter
Breathization management is conducive to improve ladle turnover rate, and on this basis, University of Science & Technology, Beijing proposes that system is based on ladle real-time tracking
Ladle hot status information, and the method verified by off-line numerical simulation and field data are obtained in time, and design is more accurately
Liquid steel temperature offset develops the precisely predetermined subsystem of molten steel to provide foundation to reduce Tapping Temperature of Bof.
Using the method for offline Numerical modelling and test temperature measurement correction, the rigidity superposition of temperature, including baking are reduced
The influence of temperature, the calculating of thermal cycle cycle influences, ladle heat dissipation machine temperature drop.Presently, there are deficiencies below:
1) correction of ladle hot costing bio disturbance has difficulties, especially the heat dissipation in the ladle upper surface of continuous casting station；
2) data acquisition for testing the ladle thermometric of resistance to material is limited, and the pre-buried thermocouple temperature measurement data of all-the-way tracking exist certain
It is difficult.
Summary of the invention
In view of the above defects of the prior art, the object of the present invention is to provide a kind of steel to cast interface temperature drop
On-line prediction system and its prediction technique solve traditional tapping temperature and formulate the rigidity superposition there are each process temperature drop and lead
The problem of causing higher tapping temperature, computation model correction data limitation.
To achieve the above object, the present invention adopts the following technical scheme:
On the one hand, a kind of steel casts interface temperature drop on-line prediction system, including ladle management information system, molten steel temperature
Computation model and In-Line Temperature Measure System drop, and temperature drop computation model between In-Line Temperature Measure System the same as combining and coupled
Formula calculates, to realize the temperature drop situation for predicting all ladle molten steel in real time；
The ladle management information system includes steel plate baking system, ladle planning management and ladle status system；
The In-Line Temperature Measure System includes thermocouple sensor, temperature collecting cell, the main control unit set on ladle liner
With ladle temperature measurement data library unit, thermocouple sensor is connected with the receiving end of temperature collecting cell, the hair of temperature collecting cell
End is penetrated to be connected with the receiving end of ladle temperature measurement data library unit.
The ladle liner includes heat insulation layer and permanent layer.
The heat insulation layer includes heat insulation layer huyashi-chuuka (cold chinese-style noodles), and the permanent layer includes the hot face of permanent layer and permanent layer huyashi-chuuka (cold chinese-style noodles).
It is wireless signal between the transmitting terminal of the temperature collecting cell and the receiving end of ladle temperature measurement data library unit
Communication modes.
The wireless signal communication mode is wireless ZigBee module.
On the other hand, a kind of steel casts interface temperature drop on-line prediction method, comprising the following steps:
S1. In-Line Temperature Measure System is established, ladle temperature measurement data library unit is formed；
S2. realize temperature drop computation model tentative prediction ladle each process temperature drop situation, need for each process into
Row simulation and correction；
S3. it is calculated using temperature drop computation model and In-Line Temperature Measure System data manifold type collected, carries out ladle
The calculating of the more accurate temperature drop of each process；
S4. obtain each process radiate online, molten steel temperature related data, online temperature drop computation model is corrected, in steel
On the basis of Packet Management Information System, online heat dissipation is engaged with the data of temperature drop to predict tapping casting interface molten steel temperature
Drop.
In the step S1, In-Line Temperature Measure System is established specifically:
S1.1. in the heat insulation layer of ladle liner and the pre-buried thermocouple sensor of permanent layer；
S1.2. temperature collecting cell is fixed on ladle or steel ladle cover；
S1.3. temperature collecting cell is sent to ladle by temperature collecting cell transmitting terminal to data processing, and by data
The receiving end of temperature measurement data library unit；
S1.4. ladle temperature measurement data library unit is formed.
In the step S2, need to be simulated and corrected for following four aspect:
1) ladle online baking model or steel heat loss model waiting is waited；
2) the heat loss model and temperature drop prediction that steel-refining starts are connect；
3) heat dissipation model and temperature drop for refining station are predicted；
4) heat dissipation model and temperature drop for being poured station are predicted.
In the step S3, computation model are as follows:
The heat flow density of permanent layer
The heat flow density of heat insulation layer
In above-mentioned formula, T1For the hot face electric thermo-couple temperature of permanent layer, T2For permanent layer huyashi-chuuka (cold chinese-style noodles) electric thermo-couple temperature, T3It is exhausted
Thermosphere huyashi-chuuka (cold chinese-style noodles) electric thermo-couple temperature, d1For permanent layer thickness, d2For thickness of insulating layer, λ1Permanent layer thermal coefficient, λ2For heat insulation layer
Thermal coefficient.
In the step S4, the major parameter of prediction tapping casting interface temperature drop output includes each process node temperature
Degree, heat dissipation and accumulation of heat curve.
In the above technical solution, a kind of steel casting interface temperature drop on-line prediction system provided by the present invention and
Its prediction technique, also have it is below the utility model has the advantages that
1. the present invention can provide the temperature changing regularity of ladle liner in real time；
2. temperature measurement on-line method and computation model manifold type are predicted temperature drop by the present invention, molten steel temperature is predicted more accurately
Drop；
3. the present invention combines ladle information management system with on-line prediction model, realize that the flexibility of tapping temperature drop is folded
Add, to realize that cold melt provides basis.
Detailed description of the invention
Fig. 1 is circuit theory schematic diagram figure of the invention；
Fig. 2 is the circuit theory schematic diagram of In-Line Temperature Measure System of the present invention.
Fig. 3 is that the present invention obtains the curve graph of casting process ladle temperature drop process；
Fig. 4 is the curve graph of molten steel temperature prediction and predetermined temperature of the present invention.
Specific embodiment
Technical solution of the present invention is further illustrated with reference to the accompanying drawings and examples.
Incorporated by reference to shown in Fig. 1 to Fig. 2, a kind of steel casting interface temperature drop on-line prediction system provided by the present invention is wrapped
Ladle management information system 1, temperature drop computation model 2 and In-Line Temperature Measure System 3 are included, in the base of ladle management information system 1
On plinth, the In-Line Temperature Measure System 3 of ladle wireless transmission is initially set up, temperature drop computation model 2 is then established, will survey online
Warm system 3 finally establishes steel casting interface molten steel temperature with combining between temperature drop computation model 2 and carrying out manifold type calculating
On-line prediction system 100 is dropped, converter/electric furnace steel tapping temperature is formulated for class monitor and group leader and effective foundation is provided.
Preferably, the ladle management information system 1 includes steel plate baking system 101, ladle planning management 102 and steel
Packet status system 103.
Preferably, the In-Line Temperature Measure System 3 includes thermocouple sensor 301, the temperature acquisition list set on ladle liner
Member 302, main control unit 303 and ladle temperature measurement data library unit 304, thermocouple sensor 301 and temperature collecting cell 302
Receiving end is connected, and the transmitting terminal of temperature collecting cell 302 is connected with the receiving end of ladle temperature measurement data library unit 304.To survey
Each layer electric thermo-couple temperature changing rule for trying casting process ladle, obtains the heat loss situation of steel ladle cover in casting process.
Preferably, the ladle liner includes heat insulation layer and permanent layer.
Preferably, the heat insulation layer includes heat insulation layer huyashi-chuuka (cold chinese-style noodles), the permanent layer includes the hot face of permanent layer and permanent layer
Huyashi-chuuka (cold chinese-style noodles).
Preferably, the receiving end of the transmitting terminal of the temperature collecting cell 302 and ladle temperature measurement data library unit 304
Between be wireless signal communication mode.
Preferably, the wireless signal communication mode is realized using the wireless ZigBee module of low-power consumption.
A kind of steel provided by the present invention casts interface temperature drop on-line prediction method, comprising the following steps:
S1. In-Line Temperature Measure System is established, ladle temperature measurement data library unit is formed, the temperature of ladle liner can be obtained in real time
Spend changing rule；
S2. realize temperature drop computation model tentative prediction ladle each process temperature drop situation, need for each process into
Row simulation and correction；
S3. it is calculated using temperature drop computation model and In-Line Temperature Measure System data manifold type collected, carries out ladle
The calculating of the more accurate temperature drop of each process can be realized more Accurate Prediction ladle each process temperature drop situation, and predict steel in real time
The temperature drop situation of Baogang's liquid；
S4. obtain each process radiate online, molten steel temperature related data, online temperature drop computation model is corrected, in steel
On the basis of Packet Management Information System, online heat dissipation is engaged with the data of temperature drop to predict tapping casting interface molten steel temperature
Drop predicts the temperature drop prediction of all operation ladles of steel mill in real time.
Preferably, establishing In-Line Temperature Measure System in the step S1 specifically:
S1.1. in the heat insulation layer of ladle liner and the pre-buried thermocouple sensor of permanent layer；
S1.2. temperature collecting cell is fixed on ladle or steel ladle cover；
S1.3. temperature collecting cell is sent to ladle by temperature collecting cell transmitting terminal to data processing, and by data
The receiving end of temperature measurement data library unit；
S1.4. ladle temperature measurement data library unit is formed.
Preferably, needing to be simulated and corrected for following four aspect in the step S2:
1) ladle online baking model or steel heat loss model waiting is waited；
2) the heat loss model and temperature drop prediction that steel-refining starts are connect；
3) heat dissipation model and temperature drop for refining station are predicted；
4) heat dissipation model and temperature drop for being poured station are predicted.
Preferably, the real time temperature of the heat insulation layer of temperature collecting cell transmission, permanent layer is used in the step S3
It is inputted in the boundary of hot-fluid computation model, calculates heat flux simulation between permanent ladle layer and heat insulation layer, monitor resistance to material accumulation of heat shape
State.Its computation model are as follows:
The heat flow density of permanent layer
The heat flow density of heat insulation layer
In above-mentioned formula, T1For the hot face electric thermo-couple temperature of permanent layer, T2For permanent layer huyashi-chuuka (cold chinese-style noodles) electric thermo-couple temperature, T3It is exhausted
Thermosphere huyashi-chuuka (cold chinese-style noodles) electric thermo-couple temperature, d1For permanent layer thickness, d2For thickness of insulating layer, λ1Permanent layer thermal coefficient, λ2For heat insulation layer
Thermal coefficient.
Preferably, the major parameter of prediction tapping casting interface temperature drop output includes each process in the step S4
Node temperature, heat dissipation and accumulation of heat curve.
The main input, output and correction data that steel casts interface temperature drop on-line prediction system are as shown in table 1 below:
Table 1
The main affecting parameters of temperature drop have:
1) influence of the steel grade to temperature drop；
2) resistance to material corrodes the influence to heat loss and temperature drop；
3) affecting laws of the environment temperature to heat loss and temperature drop；
4) ladle connects influence of the Warm status to heat loss and temperature before steel；
5) Determination of Physical Property Parameters: the thermal capacitance of coverture thermal coefficient under different temperatures, castable and working brick, density and
Thermal coefficient.
Heat dissipation and warm extrusion die model basic assumption:
1) fluid is incompressible；
2) two-dimensional axial symmetric；
3) ignore the coverture latent heat of fusion.
Zoning includes solid and fluid, declines process using dynamic mesh calculating simulation steel ladle pouring process liquid level, such as
Shown in Fig. 4, the ladle temperature drop process of casting process is calculated using test temperature measurement data and model, in ladle liquid level
Constantly 50min during decline, molten steel temperature are reduced to 1535 DEG C from 1560 DEG C, reduce 25 DEG C.Casting process is last
10min, molten steel temperature drop to 1535 DEG C by 1543 DEG C, have dropped 8 DEG C.
The related datas such as online heat dissipation, molten steel temperature are obtained, online computation model is corrected；In ladle information management system
On the basis of, further combined with the temperature drop data of online heat dissipation and molten steel, prediction steel casts interface temperature drop.The main ginseng of output
Number includes the heat dissipation of display ladle, accumulation of heat corresponding proportion changing rule；The predicted temperature curve of each node, as shown in figure 4, molten steel
Temperature prediction and predetermined curve mainly show temperature nodes required by the steel grade temperature schedule, wherein T1For tapping temperature, T2
To refine inlet temperature, T3To refine out-station temperature, T4For continuous casting temperature, T5For liquidus temperature.
The rigidity superposition of tradition tapping can be changed into flexible superposition by the present invention, to realize that steel-making cold melt provides
It ensures.
Those of ordinary skill in the art it should be appreciated that more than embodiment be intended merely to illustrate the present invention,
And be not used as limitation of the invention, as long as the change in spirit of the invention, to embodiment described above
Change, modification will all be fallen within the scope of claims of the present invention.
Claims (10)
1. a kind of steel casts interface temperature drop on-line prediction system, which is characterized in that including ladle management information system, molten steel temperature
Computation model and In-Line Temperature Measure System drop, and temperature drop computation model between In-Line Temperature Measure System the same as combining and carry out manifold type
It calculates, to realize the temperature drop situation for predicting all ladle molten steel in real time；
The ladle management information system includes steel plate baking system, ladle planning management and ladle status system；
The In-Line Temperature Measure System includes thermocouple sensor, temperature collecting cell, main control unit and the steel set on ladle liner
Packet temperature measurement data library unit, thermocouple sensor are connected with the receiving end of temperature collecting cell, the transmitting terminal of temperature collecting cell
It is connected with the receiving end of ladle temperature measurement data library unit.
2. a kind of steel as described in claim 1 casts interface temperature drop on-line prediction system, which is characterized in that the ladle
Liner includes heat insulation layer and permanent layer.
3. a kind of steel as claimed in claim 2 casts interface temperature drop on-line prediction system, which is characterized in that the insulation
Layer includes heat insulation layer huyashi-chuuka (cold chinese-style noodles), and the permanent layer includes the hot face of permanent layer and permanent layer huyashi-chuuka (cold chinese-style noodles).
4. a kind of steel as described in claim 1 casts interface temperature drop on-line prediction system, which is characterized in that the temperature
It is wireless signal communication mode between the transmitting terminal of acquisition unit and the receiving end of ladle temperature measurement data library unit.
5. a kind of steel as claimed in claim 4 casts interface temperature drop on-line prediction system, which is characterized in that described is wireless
Signal communication mode is wireless ZigBee module.
6. a kind of steel casts interface temperature drop on-line prediction method, which comprises the following steps:
S1. In-Line Temperature Measure System is established, ladle temperature measurement data library unit is formed；
S2. the tentative prediction ladle each process temperature drop situation for realizing temperature drop computation model needs to carry out mould for each process
Quasi- and correction；
S3. it is calculated using temperature drop computation model and In-Line Temperature Measure System data manifold type collected, carries out each work of ladle
The calculating of the more accurate temperature drop of sequence；
S4. obtain each process radiate online, molten steel temperature related data, online temperature drop computation model is corrected, in ladle pipe
On the basis of managing information system, online heat dissipation is engaged with the data of temperature drop to predict tapping casting interface temperature drop.
7. a kind of steel as claimed in claim 6 casts interface temperature drop on-line prediction method, which is characterized in that the step
In S1, In-Line Temperature Measure System is established specifically:
S1.1. in the heat insulation layer of ladle liner and the pre-buried thermocouple sensor of permanent layer；
S1.2. temperature collecting cell is fixed on ladle or steel ladle cover；
S1.3. temperature collecting cell is sent to ladle thermometric by temperature collecting cell transmitting terminal to data processing, and by data
The receiving end of Database Unit；
S1.4. ladle temperature measurement data library unit is formed.
8. a kind of steel as claimed in claim 6 casts interface temperature drop on-line prediction method, which is characterized in that the step
In S2, need to be simulated and corrected for following four aspect:
1) ladle online baking model or steel heat loss model waiting is waited；
2) the heat loss model and temperature drop prediction that steel-refining starts are connect；
3) heat dissipation model and temperature drop for refining station are predicted；
4) heat dissipation model and temperature drop for being poured station are predicted.
9. a kind of steel as claimed in claim 6 casts interface temperature drop on-line prediction method, which is characterized in that the step
In S3, computation model are as follows:
The heat flow density of permanent layer
The heat flow density of heat insulation layer
In above-mentioned formula, T1For the hot face electric thermo-couple temperature of permanent layer, T2For permanent layer huyashi-chuuka (cold chinese-style noodles) electric thermo-couple temperature, T3For heat insulation layer
Huyashi-chuuka (cold chinese-style noodles) electric thermo-couple temperature, d1For permanent layer thickness, d2For thickness of insulating layer, λ1Permanent layer thermal coefficient, λ2For the thermally conductive system of heat insulation layer
Number.
10. a kind of steel as claimed in claim 6 casts interface temperature drop on-line prediction method, which is characterized in that the step
In rapid S4, the major parameter of prediction tapping casting interface temperature drop output includes each process node temperature, heat dissipation and accumulation of heat curve.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112475248A (en) * | 2020-12-01 | 2021-03-12 | 内蒙古科技大学 | Method and device for predicting molten steel outlet temperature of continuous casting multi-flow tundish and terminal equipment |
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