CN102222147B - Simulation system for on-line stimulating liquid steel solidification heat-transfer process in continuous-casting crystallizer - Google Patents
Simulation system for on-line stimulating liquid steel solidification heat-transfer process in continuous-casting crystallizer Download PDFInfo
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Abstract
The invention relates to a simulation system for stimulating the liquid steel solidification heat-transfer process in an continuous-casting crystallizer on line, which comprises a model data initialization module, a data operation module and a result output model which are sequentially connected through interfaces. The system is used for simulating the liquid steel solidification heat-transfer process in the continuous-casting crystallizer on line. Particularly, the method of the system comprises the following steps: on the basis of the relationship of real-time water quantity and temperature difference of the crystallizer, utilizing casting machine parameters, steel type data parameters and production process parameters to simulate the solidification heat-transfer process of high-temperature liquid steel in the whole crystallizer, wherein the relationship of the real-time water quantity and the temperature difference monitored by a control system; converting to obtain a heat-flow density boundary condition on the unit area of the crystallizer; and then calculating the solidification heat-transfer process of the liquid steel in the crystallizer. The system is simple and easy to implement, has high applicability and high reliability, can carry out real-time and on-line simulation to calculate the solidification heat-transfer process of the liquid steel of the crystallizers of different continuous-casting machine models, and provides a convenient and fast way for the continuous adjustment and improvement of the continuous casting process in large-scale production.
Description
Technical field
The present invention relates to the continuous casting technology field, especially the analogue system 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 the phenomenon such as solute redistribution.Interrelated between each phenomenon, the reciprocal effect effect makes Heat transfer in the crystallizer complex that becomes.But the diabatic process of Mold has very important impact to slab quality.Rate of heat transfer is inhomogeneous to be easy to cause the strand crackle; In addition, if it is insufficient to conduct heat, then cause easily thinner base shell bulge, 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 heat transfer process in the crystallizer is carried out simulation calculation, namely can know the thickness of solidified slab shell in secondary that strand is grown and obtained in crystallizer, casting blank surface temperature distributes, the important metallurgical parameters such as crystallizer cooling water inflow, cooling range and conical degree of crystallizer distribution.This to the optimization of whole casting process technological parameter and the improvement of slab quality etc. all tool be of great significance.
In the research of the solidification heat transfer process of molten steel, mainly be to calculate the metallurgical parameters relevant with the casting machine crystallizer by the off-line simulation mode in the continuous cast mold, and then instruct and produce.This wherein is to utilize the Billet heat flux distribution 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 high temperature thermal load, solidifying the impact of the factors such as strand, solid-liquid slag, mold oscillation, chilled water, causing easily solidification and heat transfer unstable, be unfavorable for continuous production.
Therefore, need to have a kind of can be by the mode of measuring in real time, monitoring Mold solidification heat transfer process is adjusted the continuous casting operating procedure, avoids the damp production that emergency case causes and the loss that brings thus.
Summary of the invention
Technical matters to be solved by this invention is: the analogue system that solidification of molten steel diabatic process in a kind of online simulation continuous cast mold is provided, this system can be by the mode of measuring in real time, monitoring Mold solidification heat transfer process, adjust the continuous casting operating procedure, avoid the damp production that emergency case causes and the loss that brings thus.
The present invention solves its technical matters and adopts following technical scheme:
The analogue system of solidification of molten steel diabatic process in the online simulation continuous cast mold provided by the invention, by model data initialization module, data run module and as a result output module three parts form, wherein: the model data initialization module sets up interface to link to each other with the input end of data run module; Output module is used for showing and preserving result of calculation as a result, this as a result output module automatically export the hold function module by data and result of calculation graphical display function module forms, and this as a result output module set up interface to link to each other with the output terminal of data run module.
Described model data initialization module is comprised of the conticaster database module, physical parameter database module and the production technology database module that connect successively, and after this model data initialization module is set up interface and the input end of data run module is linked to each other, import in real time the crystallizer water yield and the temperature difference numerical relation that monitoring obtains in the control system, and confirm the data input.
Described control system is comprised of monitoring and display system, and wherein: monitoring system is surveyed by flowmeter and thermopair and formed, and the crystallizer water yield and the difference variation result who measures in real time is output in the display system.
Described data run module is comprised of one dimension computation model and two-dimentional computation model, is used for the solidification heat transfer process of molten steel in the online real-time simulation continuous cast mold.
The present invention compared with prior art has following main beneficial effect:
The solidification and heat transfer of strand has vital effect 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 high temperature thermal load is bearing high-temperature molten steel, solidify the impact of the factors such as strand, solid-liquid slag, mold oscillation, chilled water, cause easily solidification and heat transfer unstable, be unfavorable for continuous production.For this reason the present invention's cooling water flow that Real-Time Monitoring obtains from control system and temperature difference relation, utilize different casting machine parameters, steel grade data parameters and processing parameter to come initialization system, the solidification heat transfer process of the whole Mold of online simulation, obtain and produce relevant important metallurgical parameters, 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 the continuous casting operation requirements, 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 real-time on-line simulation calculates the Mold solidification heat transfer process of different continuous casting types, for 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 flux distribution figure in the crystallizer that obtains when 1000 * 200 mm slab caster top casting Stb32 steel.
Fig. 2 is base shell surface temperature distribution synoptic 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 synoptic 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 flux distribution figure in the crystallizer that obtains when 150 * 150 mm billet caster top casting Q235 steel.
Fig. 7 is base shell surface temperature distribution synoptic 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 synoptic 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.
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 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: 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 comprised of the conticaster database module, physical parameter database module and the production technology database module that connect successively, and sets up interface to link to each other with the input end of data run module in module; Import in real time the crystallizer water yield and the temperature difference numerical relation that monitoring obtains in the control system, and confirm the data input; The data run module is comprised of one dimension computation model and two-dimentional computation model, is used for the solidification 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 automatically exports hold function by data and the result of calculation graphical display function forms, and sets up interface to link to each other with the output terminal of data run module in module as a result.
The analogue system of solidification of molten steel diabatic process in the online simulation continuous cast mold provided by the invention can real-time on-line simulation be calculated the Mold solidification heat transfer process of different continuous casting types.Be exemplified below:
Embodiment 2:
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;
Then in the production technology database, confirm 1572 ℃ of pouring temperatures, pulling rate 1.2 m/min, copper plate of crystallizer net thickness 24 mm, 35 ℃ of crystallizer chilled water initial temperatures, flow velocity 8 m/s.
2. real-time parameter importing process:
By crystallizer chilled 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 form, can be by the water yield and the temperature difference data of the monitoring system Real-time Collection crystallizer in the control 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 computation process:
The primary data that obtains by receiving the model data initialization procedure is utilized two-dimentional computation model, emulation Mold solidification heat transfer process in analogue system.
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 parameters that shows solidification 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 flux distribution as shown in Figure 1 in the crystallizer that present embodiment emulation obtains: the meniscus position heat flow density is maximum, and far away with the meniscus distance, the heat flow density in the crystallizer is lower, 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 impact 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 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 crystallizer heat flux distribution rule.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 para-curve variation characteristic.
Embodiment 3:
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; Then in the production technology database, confirm 1535 ℃ of pouring temperatures, pulling rate 3m/min, copper plate of crystallizer net thickness 14 mm, 35 ℃ of crystallizer chilled water initial temperatures, flow velocity 8 m/s.
2. real-time parameter importing process:
By crystallizer chilled 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 form, can be by the water yield and the temperature difference data of the monitoring system Real-time Collection crystallizer in the control 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 computation process:
The primary data that obtains by receiving the model data initialization procedure is utilized two-dimentional computation model, emulation Mold solidification heat transfer process in analogue system.
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 parameters that shows solidification 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 flux distribution as shown in Figure 6 in the crystallizer that present embodiment emulation obtains: the meniscus position heat flow density is maximum, and far away with the meniscus distance, the heat flow density in the crystallizer is lower, 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 impact 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 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 crystallizer heat flux distribution rule.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 para-curve variation characteristic.
In above-described embodiment, described one dimension computation model is take the section model of slab thickness direction as the basis, ignores the heat transfer on the broad ways, is applicable in the continuous casting crystallizer for plate billet solidification heat transfer process of molten steel.Described two-dimentional computation model is take strand cross-sectional direction section model as the basis, considers along the heat transfer on slab thickness and the Width, is applicable in plate/square billet continuous casting crystallizer the solidification heat transfer process of molten steel.
In above-described embodiment, described control system is comprised of monitoring and display system, and wherein: monitoring system is surveyed by flowmeter and thermopair and formed, and the crystallizer water yield and the difference variation result who measures in real time is output in the display system.
The present invention can input 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 exchangeable bases's area, via the solidification and heat transfer analogue system, obtain the important metallurgical parameters relevant with solidification of molten steel diabatic process in the continuous cast mold, instruct the adjustment of continuous casting manufacturing technique with this, for stable, continuous, safety in production provide easily approach.
Claims (3)
1. the analogue system of solidification of molten steel diabatic process in the online simulation continuous cast mold, it is characterized in that 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 sets up interface to link to each other with the input end of data run module, described model data initialization module is by the conticaster database module that connects successively, physical parameter database module and production technology database module form, and after this model data initialization module is set up interface and the input end of data run module is linked to each other, import in real time the crystallizer water yield and the temperature difference numerical relation that monitoring obtains in the control system, and confirm the data input; Output module is used for showing and preserving result of calculation as a result, this as a result output module automatically export the hold function module by data and result of calculation graphical display function module forms, and this as a result output module set up interface to link to each other with the output terminal of data run module;
This analogue system is calculated the Mold solidification heat transfer process of different continuous casting types according to the following steps real-time on-line simulation:
(1) carry out the model data initialization procedure:
At first confirm slab two dimension computation model, crystallizer size, crystallizer height, meniscus position, time step and space step parameter,
Secondly by confirming steel grade, obtain the steel grade physical parameter,
Then in the production technology database, confirm pouring temperature, pulling rate, copper plate of crystallizer net thickness, crystallizer chilled water initial temperature and flow parameters;
(2) real-time parameter importing process:
By crystallizer chilled water real-time traffic and the temperature difference data that obtain in the monitoring system, in the production technology database manipulation panel in its importing analogue system data initialization model,
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 computation process:
The primary data that obtains by receiving the model data initialization procedure is utilized two-dimentional computation model, emulation Mold solidification heat transfer process in analogue system;
(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 parameters that shows solidification heat transfer process, this parameter comprise 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.
2. system according to claim 1, it is characterized in that described control system is comprised of monitoring and display system, wherein: monitoring system is surveyed by flowmeter and thermopair and is formed, and the crystallizer water yield and the difference variation result who measures in real time is output in the display system.
3. system according to claim 1 is characterized in that described data run module is comprised of one dimension computation model and two-dimentional computation model, is used for the solidification heat transfer process of molten steel in the online real-time simulation continuous cast mold.
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| CN104226939A (en) * | 2014-10-12 | 2014-12-24 | 首钢总公司 | Narrow-face copper plate taper back draft process for continuous casting sheet billet chamfering crystallizer |
| CN109960835B (en) * | 2017-12-26 | 2023-10-17 | 上海梅山钢铁股份有限公司 | Method for establishing continuous casting crystallizer heat flow distribution model |
| CN115730512B (en) * | 2022-11-03 | 2023-11-17 | 宝钢工程技术集团有限公司 | Method for calculating temperature field of continuous casting crystallizer copper plate |
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| CN101244452A (en) * | 2007-12-19 | 2008-08-20 | 天津钢铁有限公司 | Method for setting induction stirring parameter of round blank continuous casting crystallizer |
| CN101362196A (en) * | 2008-09-12 | 2009-02-11 | 攀钢集团研究院有限公司 | Control method of natural roll-gap thermal-contraction technique based on bloom |
| CN101722296A (en) * | 2009-11-26 | 2010-06-09 | 上海大学 | Physical simulation method and physical simulation device utilizing suction casting to research solidification of strip continuous casting |
| CN101966570A (en) * | 2009-07-27 | 2011-02-09 | 中冶赛迪工程技术股份有限公司 | Continuous casting entity simulation and virtualization realization platform |
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| CN101244452A (en) * | 2007-12-19 | 2008-08-20 | 天津钢铁有限公司 | Method for setting induction stirring parameter of round blank continuous casting crystallizer |
| CN101362196A (en) * | 2008-09-12 | 2009-02-11 | 攀钢集团研究院有限公司 | Control method of natural roll-gap thermal-contraction technique based on bloom |
| CN101966570A (en) * | 2009-07-27 | 2011-02-09 | 中冶赛迪工程技术股份有限公司 | Continuous casting entity simulation and virtualization realization platform |
| CN101722296A (en) * | 2009-11-26 | 2010-06-09 | 上海大学 | Physical simulation method and physical simulation device utilizing suction casting to research solidification of strip continuous casting |
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