CN102222147A - Simulation system for stimulating liquid steel solidification heat-transfer process in continuous-casting crystallizer on line - Google Patents

Simulation system for stimulating liquid steel solidification heat-transfer process in continuous-casting crystallizer on line Download PDF

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CN102222147A
CN102222147A CN 201110181544 CN201110181544A CN102222147A CN 102222147 A CN102222147 A CN 102222147A CN 201110181544 CN201110181544 CN 201110181544 CN 201110181544 A CN201110181544 A CN 201110181544A CN 102222147 A CN102222147 A CN 102222147A
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crystallizer
module
data
continuous
transfer process
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CN102222147B (en
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徐永斌
马春武
幸伟
徐海伦
孙铁汉
李智
杜斌
叶理德
邵远敬
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Wisdri Engineering and Research Incorporation Ltd
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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

The analogue system of solidification of molten steel diabatic process in the online simulation continuous cast mold
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 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, chilled 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 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, 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 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 export the hold function module automatically by data and result of calculation graphical display function module is formed, and set up interface to link to each other on the output module as a result with the output terminal of data run module at this.
Described model data initialization module is made up of the conticaster database module, physical parameter database module and the production technology database module that connect successively, and after setting up interface on this model data initialization module and the input end of data run module link to each other, 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.
Described control system is made up 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 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 in real time emulation continuous cast mold.
The present invention compared with prior art has following main 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, chilled 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 plan 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 flow density distribution plan 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 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: 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 made up 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 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 in real time emulation 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 terminal of data run module on 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 the crystallizer of the different continuous casting types of real-time online simulation calculation in the solidification of molten steel diabatic process.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;
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 then.
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 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 computation 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 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; 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 then.
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 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 computation 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 para-curve 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.
In the foregoing description, described control system is made up 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 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 exchangeable bases'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.

Claims (4)

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 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 export the hold function module automatically by data and result of calculation graphical display function module is formed, and set up interface to link to each other on the output module as a result with the output terminal of data run module at this.
2. system according to claim 1, it is characterized in that described model data initialization module is made up of the conticaster database module, physical parameter database module and the production technology database module that connect successively, and after setting up interface on this model data initialization module and the input end of data run module link to each other, 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.
3. system according to claim 2, it is characterized in that described control system by the monitoring and display system form, 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.
4. system according to claim 1 is characterized in that described 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 in real time emulation continuous cast mold.
CN 201110181544 2011-06-30 2011-06-30 Simulation system for on-line stimulating liquid steel solidification heat-transfer process in continuous-casting crystallizer Expired - Fee Related CN102222147B (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN109960835A (en) * 2017-12-26 2019-07-02 上海梅山钢铁股份有限公司 The method for establishing continuous cast mold heat flux distribution model
CN115730512A (en) * 2022-11-03 2023-03-03 宝钢工程技术集团有限公司 Method for calculating temperature field of copper plate of continuous casting crystallizer

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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

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN109960835A (en) * 2017-12-26 2019-07-02 上海梅山钢铁股份有限公司 The method for establishing continuous cast mold heat flux distribution model
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
CN115730512A (en) * 2022-11-03 2023-03-03 宝钢工程技术集团有限公司 Method for calculating temperature field of copper plate of continuous casting crystallizer
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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