CN102228971A - Method for online simulation of molten steel solidification heat-transfer process inside continuous casting crystallizer - Google Patents
Method for online simulation of molten steel solidification heat-transfer process inside continuous casting crystallizer Download PDFInfo
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Abstract
The invention discloses a method for online simulation of a molten steel solidification heat-transfer process inside a continuous casting crystallizer. The method specifically comprises the steps of: simulating the solidification heat-transfer process of high-temperature molten steel inside a whole crystallizer by utilizing casting machine parameters, steel ball data parameters and production process parameters based on real-time water level and temperature difference relation of the crystallizer, monitored by a monitoring system, converting to obtain a heat-flow density boundary condition on a unit area of the crystallizer, and calculating the molten steel solidification heat-transfer process inside the crystallizer. The method for online simulation of the molten steel solidification heat-transfer process inside the continuous casting crystallizer, provided by the invention, not only has the advantages of simplicity, convenience, feasibility, high applicability and high reliability, but also can be used for online simulation and calculation of the molten steel solidification heat-transfer processes inside the crystallizers of different casting machine types, and provides a convenient approach to ceaseless regulation and improvement in the continuous casting production process in large-scale production.
Description
Technical field
The present invention relates to the continuous casting technology field, especially the emulation mode of solidification of molten steel diabatic process in the online simulation continuous cast mold.
Background technology
As the heart of continuous casting, the casting process in the crystallizer is that heat transfer in an association, solidifies, and flows and the complex process of phenomenon such as solute reallocation.Interrelated between each phenomenon, the reciprocal effect effect makes the heat transfer behavior in the crystallizer become complicated unusually.But the diabatic process of molten steel has very significant effects to slab quality in the crystallizer.Rate of heat transfer is inhomogeneous to be easy to cause the strand crackle; In addition,, then cause thin base shell bulge easily if it is insufficient to conduct heat, distortion, even by bleedout.The behavior of solidifying of strand depends on that molten steel outwards carries out the ability that heat is transmitted.By the solidification and heat transfer process in the crystallizer is carried out simulation calculation, promptly can know the thickness of solidified slab shell in secondary that strand is grown and obtained in crystallizer, casting blank surface temperature distributes, important metallurgical parameters such as crystallizer cooling water inflow, cooling range and conical degree of crystallizer distribution.This all has crucial meaning to improvement of whole casting process parameters Optimization and slab quality etc.
In the solidification and heat transfer process study of molten steel, mainly be to calculate the metallurgical parameter relevant in the continuous cast mold, and then instruct and produce with the casting machine crystallizer by the off-line simulation mode.This wherein is to utilize the crystallizer conductive heat flow to distribute to analyze the process of setting of molten steel basically, obtains the parameter relevant with continuous casting production, and has all obtained certain actual effect.But the means of this off-line simulation often can't be tackled the emergency situations that may occur in actual production.Bear high-temperature molten steel such as the continuous cast mold that is in the elevated temperature heat load, solidifying all multifactor influences such as strand, solid-liquid slag, mold oscillation, cooling water, causing the solidification and heat transfer instability easily, be unfavorable for continuous production.
Therefore, need a kind of can be by the mode of measuring in real time, solidification of molten steel diabatic process in the monitoring crystallizer is adjusted the continuous casting operating procedure, avoids damp production that emergency case causes and the loss that brings thus.
Summary of the invention
Technical problem to be solved by this invention is: the emulation mode that solidification of molten steel diabatic process in a kind of online simulation continuous cast mold is provided, this method can be by the mode of measuring in real time, solidification of molten steel diabatic process in the monitoring crystallizer, adjust the continuous casting operating procedure, avoid damp production that emergency case causes and the loss that brings thus.
The present invention solves its technical problem and adopts following technical scheme:
The emulation mode of solidification of molten steel diabatic process in the online simulation continuous cast mold provided by the invention, specifically: the real-time water yield of crystallizer and the temperature difference pass that obtain with the control system monitoring are the basis, utilize casting machine parameter, steel grade data parameters and processing parameter to simulate the solidification and heat transfer process of high-temperature molten steel in the whole crystallizer, conversion obtains the heat flow density boundary condition on the crystallizer unit are, calculates the solidification and heat transfer process of molten steel in the crystallizer with this.
Described emulation mode can obtain described solidification and heat transfer process by following method, and its step comprises:
The first step, carry out the model data initialization procedure:
At first to set the casting machine parameter in the initialization procedure: confirm continuous casting type, casting blank cross-section size, crystallizer size, computation model and calculating step-length; Next sets physical parameter: the solid-liquid phase density of input steel grades, latent heat of solidification, thermal conductivity factor, thermal coefficient of expansion, specific heat capacity and steel grade; Import processing parameter then: comprise pouring temperature, casting speed, cooling water initial temperature, cooling water flow velocity, crystallizer copper plate thickness;
Second step, the real-time parameter importing process:
The real-time water yield of crystallizer and temperature difference numerical relation by monitoring in the control system obtains import to analogue system account form panel with it, confirm the data input;
The 3rd step, data simulation computational process:
In the data run module with the data in the initialization procedure, and in real time the water yield and the temperature difference relation crystallizer heat flow density that obtains that converts imports computation model, utilize selected model to calculate solidification of molten steel diabatic process in the continuous cast mold, obtain in the continuous casting production process important metallurgical parameters such as the casting blank surface temperature relevant, thickness of solidified slab shell in secondary, crystallizer cold and hot surface temperature and conical degree of crystallizer distribution with crystallizer;
The 4th step, the simulation result output procedure:
By program the result that data simulation calculates is preserved automatically, and in graphical display function, with the crystallizer heat flux distribution, casting blank surface temperature, thickness of solidified slab shell in secondary, crystallizer cold and hot surface Temperature Distribution, conical degree of crystallizer distributes and is presented on the function panel with curve and digital form;
Through above-mentioned steps, obtain described solidification and heat transfer process.
Described diabatic process, it transmits heat, crystallizer cold and hot surface temperature and conical degree of crystallizer, can test by crystallizer surface observed temperature and the actual use of crystallizer tapering numerical value.After the check,, the solidification and heat transfer process of molten steel in the crystallizer is done further correction, instruct continuous casting production by comparing crystallizer surface observed temperature and the actual use of crystallizer tapering numerical value.
The present invention can import the crystallizer water yield and temperature difference relation by real-time online, in conjunction with actual production process conditions and casting machine parameter, heat flow density on reduced unit's area, via the solidification and heat transfer analogue system, obtain and the interior relevant important metallurgical parameter of solidification of molten steel diabatic process of continuous cast mold, instruct the adjustment of continuous casting manufacturing technique with this, for stable, continuous, safety in production provide fast way.And have a following beneficial effect:
The solidification and heat transfer of strand has crucial effects to the stable operation of continuous casting production and the quality of strand product in the crystallizer, and the continuous cast mold that is in the elevated temperature heat load is bearing high-temperature molten steel, solidify all multifactor influences such as strand, solid-liquid slag, mold oscillation, cooling water, cause the solidification and heat transfer instability easily, be unfavorable for continuous production.The present invention monitors cooling water flow and the temperature difference relation that obtains in real time from control system for this reason, utilize different casting machine parameters, steel grade data parameters and processing parameter to come initialization system, the solidification and heat transfer process of molten steel in the whole crystallizer of online simulation, obtain and produce relevant important metallurgical parameter, instruct the direct motion of continuous casting production with this.
For example: in the actual production, 150 * 150 mm billet casters casting Q235 steel, 1535 ℃ of cast temperatures, control system records crystallizer cooling water flow 110 m
3/ h, the temperature difference 7 K.By with in the water yield and the temperature difference relation input analogue system, just can access crystallizer shell thickness 11.4 mm, go out 1191 ℃ of crystallizer base shell surface temperatures.In addition, the crystallizer ideal taper that emulation obtains is 1.16 %/m, uses tapering 1.12 %/m to conform to reality.Under this condition of these data declarations, working condition meets continuous casting operation requirement, need not the adjusting process parameter and can guarantee that continuous casting production carries out smoothly.
In a word, the present invention is simple and easy to do, applicability is high, reliability is high, can the real-time online simulation calculation solidification of molten steel diabatic process in the crystallizer of different continuous casting types, for the continuous adjustment and the improvement of continuous casting manufacturing technique in the large-scale production provides convenient way.
Description of drawings
Fig. 1 is heat flow density distribution map in the crystallizer that obtains when 1000 * 200 mm slab caster top casting Stb32 steel.
Fig. 2 is base shell surface temperature distribution schematic diagram in the crystallizer that obtains when 1000 * 200 mm slab caster top casting Stb32 steel.
Fig. 3 is thickness of solidified slab shell in secondary distribution schematic diagram in the crystallizer that obtains when 1000 * 200 mm slab caster top casting Stb32 steel.
The copper plate of crystallizer cold and hot surface Temperature Distribution schematic diagram of Fig. 4 for when 1000 * 200 mm slab caster top casting Stb32 steel, obtaining.
Fig. 5 concerns distribution schematic diagram for the copper plate of crystallizer back draught that obtains when 1000 * 200 mm slab caster top casting Stb32 steel.
Fig. 6 is heat flow density distribution map in the crystallizer that obtains when 150 * 150 mm billet caster top casting Q235 steel.
Fig. 7 is base shell surface temperature distribution schematic diagram in the crystallizer that obtains when 150 * 150 mm billet caster top casting Q235 steel.
Fig. 8 is thickness of solidified slab shell in secondary distribution schematic diagram in the crystallizer that obtains when 150 * 150 mm billet caster top casting Q235 steel.
The copper plate of crystallizer cold and hot surface Temperature Distribution schematic diagram of Fig. 9 for when 150 * 150 mm billet caster top casting Q235 steel, obtaining.
Figure 10 concerns distribution schematic diagram for the copper plate of crystallizer back draught that obtains when 150 * 150 mm billet caster top casting Q235 steel.
The specific embodiment
The present invention is the basis from the real-time water yield and the temperature difference that the monitoring of billet caster crystallizer or slab caster mould control system obtains, utilize convert heat flow density in the crystallizer of different casting machine parameters, steel grade data parameters and processing parameter, simulate the solidification and heat transfer process of high-temperature molten steel in the whole crystallizer.
Below in conjunction with embodiment and accompanying drawing the present invention is further elaborated.
Embodiment 1:
At 1000 * 200 mm slab caster top casting Stb32 steel.
1. model data initialization procedure:
At first confirm: slab two dimension computation model, crystallizer size 1000 * 200 mm, crystallizer height 900 mm, meniscus position 100 mm, time step 0.1 s, space step-length 10 mm;
Secondly by confirming steel grade Stb32, obtain the steel grade physical parameter;
In the production technology database, confirm 1572 ℃ of pouring temperatures, pulling rate 1.2 m/min, copper plate of crystallizer effective thickness 24 mm, 35 ℃ of crystallizer cooling water initial temperatures, flow velocity 8 m/s then.
2. real-time parameter importing process:
By crystallizer cooling water real-time traffic and the temperature difference data that obtain in the monitoring system, wide the copper coin water yield 3960 L/min, the narrow copper plate water yield 400 L/min, 4.5 ℃ of the temperature difference are in the production technology database manipulation panel in its importing analogue system data initialization model.
Described monitoring system is by wide water yield window, and leptoprosopy water yield window and temperature difference input window are formed, the water yield and the temperature difference data that can gather crystallizer by the monitoring system in the control system in real time.Control system is made up of flowmeter and thermocouple, and the crystallizer water yield and difference variation result that monitoring system is measured in real time are output in the display system.
By the above-mentioned data of real-time collection, confirm the model initialization module of analogue system, and import data into the data run module.
3. data simulation computational process:
By receiving the primary data that the model data initialization procedure obtains, in analogue system, utilize two-dimentional computation model, solidification of molten steel diabatic process in the emulation crystallizer.
4. simulation result output procedure:
By program the result that data simulation calculates is preserved automatically, and in graphical display function, the relevant important metallurgical parameter that shows the solidification and heat transfer process, this parameter comprises thickness of solidified slab shell in secondary, copper plate of crystallizer cold and hot surface temperature and copper plate of crystallizer back draught relation in heat flow density in the crystallizer, the interior base shell surface temperature of crystallizer, the crystallizer, and available Fig. 1-Fig. 5 represents.
Heat flow density distributes as shown in Figure 1 in the crystallizer that present embodiment emulation obtains: meniscus position heat flow density maximum, and far away more with the meniscus distance, the heat flow density in the crystallizer is low more, and this conforms to actual.
Base shell surface temperature distribution as shown in Figure 2 in the crystallizer that present embodiment emulation obtains: molten steel solidifies rapidly at meniscus, and the solidified shell temperature is along with the increasing of distance meniscus distance, and temperature reduces gradually.The solidified shell bight is owing to be subjected to the influence of Two-Dimensional Heat, and temperature reduces the fastest, and the solidification of molten steel heat transfer is mainly spread out of by wide face in addition, temperature reduce than leptoprosopy come more rapid.
Thickness of solidified slab shell in secondary distributes as shown in Figure 3 in the crystallizer that present embodiment emulation obtains: molten steel begins to solidify in meniscus position, increasing along with distance crystallizer meniscus distance, the continuation of solidification and heat transfer process, solidified shell increases gradually, changes to be the parabola rule distribution.
The copper plate of crystallizer cold and hot surface Temperature Distribution that present embodiment emulation obtains is as shown in Figure 4: copper plate of crystallizer cold and hot surface temperature distributing rule is consistent with the crystallizer heat flow density regularity of distribution.The hot side maximum temperature is lower than the copper plate of crystallizer recrystallization temperature, can normally use.
The copper plate of crystallizer back draught relation that present embodiment emulation obtains distributes as shown in Figure 5: conical degree of crystallizer distributes to meet and solidifies the regularity of distribution, has the parabola variation characteristic.
Embodiment 2:
At 150 * 150 mm billet caster top casting Q235 steel.
1. model data initialization procedure:
At first confirm slab two dimension computation model, crystallizer size 150 * 150 mm, crystallizer height 1000 mm, meniscus position 100 mm, time step 0.1 s, space step-length 10 mm; Secondly by confirming steel grade Q235, obtain the steel grade physical parameter; In the production technology database, confirm 1535 ℃ of pouring temperatures, pulling rate 3m/min, copper plate of crystallizer effective thickness 14 mm, 35 ℃ of crystallizer cooling water initial temperatures, flow velocity 8 m/s then.
2. real-time parameter importing process:
By crystallizer cooling water real-time traffic and the temperature difference data that obtain in the monitoring system, the crystallizer water yield 110 L/min, 7 ℃ of the temperature difference import it in analogue system data initialization model.In the production technology database manipulation panel in its importing analogue system data initialization model.
Described monitoring system is by wide water yield window, and leptoprosopy water yield window and temperature difference input window are formed, the water yield and the temperature difference data that can gather crystallizer by the monitoring system in the control system in real time.
By the above-mentioned data of real-time collection, confirm the model initialization module of analogue system, and import data into the data run module.
3. data simulation computational process:
By receiving the primary data that the model data initialization procedure obtains, in analogue system, utilize two-dimentional computation model, solidification of molten steel diabatic process in the emulation crystallizer.
4. simulation result output procedure:
By program the result that data simulation calculates is preserved automatically, and in graphical display function, the relevant important metallurgical parameter that shows the solidification and heat transfer process, this parameter comprises thickness of solidified slab shell in secondary, copper plate of crystallizer cold and hot surface temperature and copper plate of crystallizer back draught relation in heat flow density in the crystallizer, the interior base shell surface temperature of crystallizer, the crystallizer, and available Fig. 6-Figure 10 represents.
Heat flow density distributes as shown in Figure 6 in the crystallizer that present embodiment emulation obtains: meniscus position heat flow density maximum, and far away more with the meniscus distance, the heat flow density in the crystallizer is low more, and this conforms to actual.
Base shell surface temperature distribution as shown in Figure 7 in the crystallizer that present embodiment emulation obtains: molten steel solidifies rapidly at meniscus, and the solidified shell temperature is along with the increasing of distance meniscus distance, and temperature reduces gradually.The solidified shell bight is owing to be subjected to the influence of Two-Dimensional Heat, and temperature reduces the fastest, and the solidification of molten steel heat transfer is mainly spread out of by wide face in addition, temperature reduce than leptoprosopy come more rapid.
Thickness of solidified slab shell in secondary distributes as shown in Figure 8 in the crystallizer that present embodiment emulation obtains: molten steel begins to solidify in meniscus position, increasing along with distance crystallizer meniscus distance, the continuation of solidification and heat transfer process, solidified shell increases gradually, changes to be the parabola rule distribution.
The copper plate of crystallizer cold and hot surface Temperature Distribution that present embodiment emulation obtains is as shown in Figure 9: copper plate of crystallizer cold and hot surface temperature distributing rule is consistent with the crystallizer heat flow density regularity of distribution.The hot side maximum temperature is lower than the copper plate of crystallizer recrystallization temperature, can normally use.
The copper plate of crystallizer back draught relation that present embodiment emulation obtains distributes as shown in figure 10: conical degree of crystallizer distributes to meet and solidifies the regularity of distribution, has the parabola variation characteristic.
In the foregoing description, described one dimension computation model is the section model based on the slab thickness direction, ignores the heat transfer on the broad ways, is applicable in the continuous casting crystallizer for plate billet solidification and heat transfer process of molten steel.Described two-dimentional computation model is based on strand cross-sectional direction section model, considers to be applicable in plate/billet continuous casting crystallizer the solidification and heat transfer process of molten steel along the heat transfer on slab thickness and the width.
Said method provided by the invention can be realized by the analogue system of solidification of molten steel diabatic process in the online simulation continuous cast mold, this system is by the model data initialization module, the data run module and as a result output module three parts form, wherein the model data initialization module is successively by the conticaster database, physical parameter database and production technology database are formed, and set up interface to link to each other with the input of data run module on module; Import the crystallizer water yield and the temperature difference numerical relation that monitoring obtains in the control system in real time, and confirm the data input; The data run module is made up of one dimension computation model and two-dimentional computation model, is used for the solidification and heat transfer process of molten steel in the online real-time simulation continuous cast mold; Output module is used for showing and preserve result of calculation that this module exports hold function automatically by data and the result of calculation graphical display function is formed, and sets up interface to link to each other with the output of data run module on module as a result.
Claims (4)
1. the emulation mode of solidification of molten steel diabatic process in the online simulation continuous cast mold, it is characterized in that: the real-time water yield of crystallizer and the temperature difference pass that obtain with the control system monitoring are the basis, utilize casting machine parameter, steel grade data parameters and processing parameter to simulate the solidification and heat transfer process of high-temperature molten steel in the whole crystallizer, conversion obtains the heat flow density boundary condition on the crystallizer unit are, calculates the solidification and heat transfer process of molten steel in the crystallizer with this.
2. emulation mode according to claim 1 is characterized in that obtaining described solidification and heat transfer process by following method, and its step comprises:
The first step, carry out the model data initialization procedure:
At first to set the casting machine parameter in the initialization procedure: confirm continuous casting type, casting blank cross-section size, crystallizer size, computation model and calculating step-length; Next sets physical parameter: the solid-liquid phase density of input steel grades, latent heat of solidification, thermal conductivity factor, thermal coefficient of expansion, specific heat capacity and steel grade; Import processing parameter then: comprise pouring temperature, casting speed, cooling water initial temperature, cooling water flow velocity, crystallizer copper plate thickness;
Second step, the real-time parameter importing process:
The real-time water yield of crystallizer and temperature difference numerical relation by monitoring in the control system obtains import to analogue system account form panel with it, confirm the data input;
The 3rd step, data simulation computational process:
In the data run module with the data in the initialization procedure, and in real time the water yield and the temperature difference relation crystallizer heat flow density that obtains that converts imports computation model, utilize selected model to calculate solidification of molten steel diabatic process in the continuous cast mold, obtain in the continuous casting production process important metallurgical parameters such as the casting blank surface temperature relevant, thickness of solidified slab shell in secondary, crystallizer cold and hot surface temperature and conical degree of crystallizer distribution with crystallizer;
The 4th step, the simulation result output procedure:
By program the result that data simulation calculates is preserved automatically, and in graphical display function, with the crystallizer heat flux distribution, casting blank surface temperature, thickness of solidified slab shell in secondary, crystallizer cold and hot surface Temperature Distribution, conical degree of crystallizer distributes and is presented on the function panel with curve and digital form;
Through above-mentioned steps, obtain described solidification and heat transfer process.
3. emulation mode according to claim 2 is characterized in that described diabatic process, and it transmits heat, crystallizer cold and hot surface temperature and conical degree of crystallizer and tests by crystallizer surface observed temperature and the actual use of crystallizer tapering numerical value.
4. emulation mode according to claim 3 after it is characterized in that checking, by comparing crystallizer surface observed temperature and the actual use of crystallizer tapering numerical value, is done further correction to the solidification and heat transfer process of molten steel in the crystallizer, instructs continuous casting production.
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| CN116384160A (en) * | 2023-05-29 | 2023-07-04 | 北京科技大学 | Continuous casting process simulation prediction method, system and application thereof |
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