CN102214273A - Computation system for solidification and heat transfer process of continuous casting mould - Google Patents
Computation system for solidification and heat transfer process of continuous casting mould Download PDFInfo
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Abstract
The invention discloses a computation system for solidification and heat transfer process of a continuous casting mould. The system is composed of three parts, namely a model data initialization module, a data operation module and a result output module, wherein the model data initialization module is composed of a continuous casting machine database, a physical parameter database and a production technique database; an interface is formed on the module to be connected with the input port of the data operation module; the data operation module is composed of a one-dimensional computation model and a two-dimensional computation model and is used for off-line stimulation of the solidification and heat transfer process of molten steel in the continuous casting mould; the result output module is used for displaying and storing the computation result, and the module has a data automatic output and storage function and a computation result graphical display function; an interface is formed on the result output module to be connected with the output port of the data operation module. The computation system disclosed by the invention is simple, convenient and feasible, high in applicability and reliability, and can be used for off-line stimulation of the solidification and heat transfer process of molten steel in moulds with different types of continuous casting machines, thus offering a theoretical basis to the determination and regulation of a continuous casting production technique.
Description
Technical field
The present invention relates to the continuous casting technology field, in particular for the computing system of continuous cast mold solidification and heat transfer process.
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 analyze the process of setting of molten steel in the continuous cast mold, obtain the technological parameter relevant with continuous casting production by knowing that the crystallizer conductive heat flow distributes.On the one hand, can utilize the relation of measuring the hot-fluid that obtains and molten steel dead time in the stationary water cooling crystallizer, obtain the local heat flux density between strand and crystallizer interface, and then the solidification and heat transfer process in the research crystallizer, obtain associated data, but there is notable difference in experimental formula to different types, is difficult to solidification of molten steel diabatic process in the crystallizer is done accurate Analysis.In addition, by the convection current of consideration liquid phase, oscillation mark, solid-liquid scoriform attitude, factors such as air gap obtain the solidification and heat transfer process that corresponding complex heat transfer coefficient calculates molten steel in the crystallizer.In the whole process, because to liquid phase convection current degree, the oscillation mark scope, the understanding of detailed process parameters such as solid-liquid slag distribution and air gap there are differences, and computation process is quite complicated, and the applicability difference of different type of machines is also bigger.Cause in the actual production, be difficult to obtain fast thermal boundary condition in the crystallizer, the solidification and heat transfer process of molten steel in the emulation crystallizer.
Therefore, we are from the thickness of billet caster crystallizer exit base shell and the thickness of plate slab crystallizer exit base shell, 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 simulation calculation.This system is simple and easy to do, applicability is high, reliability is high, can be used in the interior solidification of molten steel diabatic process of crystallizer that off-line simulation calculates different continuous casting types, and in large-scale production, the definite and adjustment of continuous casting manufacturing technique provides theoretical foundation.
Summary of the invention
Technical matters to be solved by this invention is: a kind of computing system that is used for continuous cast mold solidification and heat transfer process is provided, this system is used for the interior solidification of molten steel diabatic process of crystallizer of the different continuous casting types of off-line simulation, in large-scale production, the definite and adjustment of continuous casting manufacturing technique provides theoretical foundation.
The present invention solves its technical matters and adopts following technical scheme:
The computing system that is used for continuous cast mold solidification and heat transfer process 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 is made up of conticaster database, physical parameter database and production technology database, and sets up interface to link to each other with the input port of data run module on module; 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 off-line 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 port of data run module on module as a result.
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.
The present invention compared with prior art has following main beneficial effect:
The solidification and heat transfer of strand has crucial effects to the quality of product in the crystallizer, and is under the condition of high temperature, and the size of heat flow density then reflects the heat-transfer capability of crystallizer in the crystallizer.For this reason, the present invention from crystallizer ejection shell safe thickness as starting point, 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 calculated off-line obtains the important metallurgical parameter relevant with production.
For example: in the actual production, 150 mm billet casters casting Q235 steel, 1535 ℃ of cast temperatures, crystallizer cooling water flow 110 m
3/ h, the temperature difference 7 K, chilled water transmits heat 894 kJ.With 10 mm safe thicknesses is the basis of calculation, and transient heat flow density is: q=2.688-0.3696
, the total amount of heat that calculates is 887 kJ.In addition, the actual use of crystallizer tapering is 1.12 %/m, and the tapering that calculates is 1.07 %/m, and the two conforms to substantially
Hence one can see that, and the present invention is simple and easy to do, applicability is high, reliability is high, can be used in the interior solidification of molten steel diabatic process of crystallizer of the different continuous casting types of off-line simulation, and in large-scale production, the definite and adjustment of continuous casting manufacturing technique provides theoretical foundation.
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
Below in conjunction with embodiment the present invention is further elaborated.
Embodiment 1: the computing system that is used for continuous cast mold solidification and heat transfer process
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 conticaster database, physical parameter database and production technology database, and sets up interface to link to each other with the input port of data run module on module; 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 off-line 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 port of data run module on module as a result.
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.
The computing system that is used for continuous cast mold solidification and heat transfer process provided by the invention can be used in solidification of molten steel diabatic process in the crystallizer of the different continuous casting types of off-line simulation.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;
Confirm crystallizer base shell safe thickness 17 mm at last.
2. data simulation computation process:
By receiving the primary data that the model data initialization procedure obtains, in system, utilize two-dimentional computation model, calculate solidification of molten steel diabatic process in the crystallizer.
3. simulation result output procedure:
By program the result that data computation obtains 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 obtains: heat flow density is in the meniscus position maximum, and far away more with the meniscus distance, heat flow density is low more in the crystallizer, and this conforms to actual conditions.
Base shell surface temperature distribution as shown in Figure 2 in the crystallizer that present embodiment calculates: molten steel solidifies rapidly in meniscus position, is accompanied by the carrying out of throwing, and the solidified shell surface temperature reduces gradually.The solidified shell bight is 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, and temperature reduces comes rapidlyer than leptoprosopy.
Thickness of solidified slab shell in secondary distribution cloth as shown in Figure 3 in the crystallizer that present embodiment calculates: solidification of molten steel starts from meniscus position, is accompanied by the carrying out of throwing, and the solidification and heat transfer process continues, and thickness of solidified slab shell in secondary presents parabola rule and distributes.
The copper plate of crystallizer cold and hot surface Temperature Distribution that present embodiment calculates 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 that calculates is lower than the copper plate of crystallizer recrystallization temperature, and copper coin can normally use.
The copper plate of crystallizer back draught relation that present embodiment calculates distributes as shown in Figure 5: conical degree of crystallizer distributes and meets the solidification of molten steel 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.
Import out at last crystallizer base shell safe thickness 10 mm.
2. 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.
3. 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 obtains: heat flow density is in the meniscus position maximum, and far away more with the meniscus distance, heat flow density is low more in the crystallizer, and this conforms to actual conditions.
Base shell surface temperature distribution as shown in Figure 7 in the crystallizer that present embodiment calculates: molten steel solidifies rapidly in meniscus position, is accompanied by the carrying out of throwing, and the solidified shell surface temperature reduces gradually.The solidified shell bight is subjected to the influence of Two-Dimensional Heat, and temperature reduces the fastest.
Thickness of solidified slab shell in secondary distribution cloth as shown in Figure 8 in the crystallizer that present embodiment calculates: solidification of molten steel starts from meniscus position, is accompanied by the carrying out of throwing, and the solidification and heat transfer process continues, and thickness of solidified slab shell in secondary presents parabola rule and distributes.
The copper plate of crystallizer cold and hot surface Temperature Distribution that present embodiment calculates 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 that calculates is far below the copper plate of crystallizer recrystallization temperature, and copper coin can normally use.
The copper plate of crystallizer back draught relation that present embodiment calculates distributes as shown in figure 10: conical degree of crystallizer distributes and meets the solidification of molten steel regularity of distribution, has the para-curve variation characteristic.
Among the foregoing description 2 and the embodiment 3, described computing system by model data initialization module, data run module and as a result output module three parts form, wherein core process is to be feature with the safe shell thickness that the solidification and heat transfer process is set, conversion obtains the convenient condition of heat flow density on the unit area, calculates the solidification and heat transfer process of molten steel in the crystallizer with this.
Claims (3)
1. the computing system that is used for continuous cast mold solidification and heat transfer process, 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 is made up of conticaster database, physical parameter database and production technology database, and sets up interface to link to each other with the input port of data run module on module; 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 off-line 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 port of data run module on module as a result.
2. computing system according to claim 1 is characterized in that 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.
3. computing system according to claim 1, it is characterized in that described two-dimentional computation model is based on strand cross-sectional direction section model, consideration is 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.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103433442A (en) * | 2013-08-29 | 2013-12-11 | 重庆大学 | Method for determining continuous casting crystallizer inner cavity taper |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103433442A (en) * | 2013-08-29 | 2013-12-11 | 重庆大学 | Method for determining continuous casting crystallizer inner cavity taper |
| CN103433442B (en) * | 2013-08-29 | 2015-07-15 | 重庆大学 | Method for determining continuous casting crystallizer inner cavity taper |
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Application publication date: 20111012 |