CN102228973A - Multi-point continuous measurement and simulation method for solidification heat transfer process of molten steel in continuous casting crystallizer - Google Patents
Multi-point continuous measurement and simulation method for solidification heat transfer process of molten steel in continuous casting crystallizer Download PDFInfo
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Abstract
The invention discloses a multi-point continuous measurement and simulation method for a solidification heat transfer process of molten steel in a continuous casting crystallizer. Based on temperature distribution data measured in real time by a copper plate thermocouple of a slab casting machine crystallizer, the instantaneous heat flow density boundary condition of the crystallizer in unit area is converted by using casting machine parameters, steel grade data parameters and production process parameters, so that the solidification heat transfer process of the molten steel in the crystallizer is calculated. The method is simple, convenient, feasible, high in practicability and high in reliability, can be used for on-line multi-point continuous measurement of the solidification heat transfer process of the molten steel in the slab casting machine crystallizer, and provides a convenient path for regulation of a continuous casting production process in large-scale production.
Description
Technical field
The present invention relates to the continuous casting technology field, the method for the solidification and heat transfer process of high-temperature molten steel in the especially online multiple spot continuous measurement 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 and a kind ofly can measure the copper plate of crystallizer variations in temperature by the mode of measuring in real time, the solidification and heat transfer process of monitoring molten steel 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 method that solidification of molten steel diabatic process in a kind of multiple spot continuous measurement simulation continuous cast mold is provided, this method is used for solidification of molten steel diabatic process in the online multiple spot continuous measurement slab caster mould, so that provide convenient way for the adjustment that realizes continuous casting manufacturing technique in the large-scale production.
The present invention solves its technical problem and adopts following technical scheme:
The method of solidification of molten steel diabatic process in the multiple spot continuous measurement simulation continuous cast mold provided by the invention, specifically: the temperature profile data that measures in real time with the crystallizer copper plate of plate blank continuous casting machine thermocouple is as the basis, utilize convert transient heat flow density boundary condition on the crystallizer unit are of casting machine parameter, steel grade data parameters and processing parameter, calculate the solidification and heat transfer process of molten steel in the crystallizer.
Described solidification of molten steel diabatic process can be obtained 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: comprise continuous casting type, casting blank cross-section size, crystallizer size, computation model and calculating step parameter,
Next sets physical parameter: comprise the solid-liquid phase density parameter 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, copper plate of crystallizer thickness parameter;
Second step, copper plate temperature parameter importing process in real time:
The Temperature Distribution that obtains by the monitoring in real time of crystallizer copper plate of plate blank continuous casting machine thermocouple is the basis, and with this temperature and thermocouple distributing position, thermocouple insertion depth data in real time import system is confirmed the data input;
The 3rd step, the data computation process:
The data run module is with the data in the initialization procedure, and the temperature relation of the copper plate of crystallizer that measures of the on-line continuous crystallizer heat flow density that obtains that converts imports computation model, utilize the model that is adopted to calculate solidification of molten steel diabatic process in the continuous cast mold, obtain the important metallurgical parameter that comprises casting blank surface temperature, thickness of solidified slab shell in secondary, crystallizer cold and hot surface temperature, conical degree of crystallizer distribution, cooling water flow and temperature difference relation relevant in the continuous casting production process with crystallizer;
The 4th step, the result of calculation output procedure:
The result that will calculate by program preserves automatically, and in the graphical display function module, 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 distribution, cooling water flow and temperature difference relation are presented on the function panel with curve and digital form;
Obtain described diabatic process through above-mentioned steps.
Described computation model is a slab two dimension computation model.
Described solidification of molten steel diabatic process, it transmits heat and conical degree of crystallizer and can test by crystallizer cooling water flow and temperature difference relation and the actual use of crystallizer tapering numerical value.
The described data that calculate can by comparative unit in the time cooling water flow and temperature difference relation test, and the solidification of molten steel diabatic process is done further correction, to instruct continuous casting production.
To sum up, the mould temperature distribution relation that the present invention can obtain by online multiple spot continuous measurement, 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 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, for stable, continuous, safety in production provide fast way with this.
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, cooling water, cause the solidification and heat transfer instability easily, be unfavorable for continuous production.The Temperature Distribution that measures in real time from the copper plate of crystallizer thermocouple of the present invention 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, the slab caster casting Stb32 steel of 1000 * 200 mm, 1572 ℃ of cast temperatures, measurement point is apart from meniscus position 100 mm and 200 mm positions in real time, thermocouple inserts the copper coin position apart from copper coin hot side 22 mm, and the temperature that online real-time measurement is 2 is respectively 105 ℃ and 97 ℃.In the Temperature Distribution and thermocouple location parameter import system that will measure, just can access crystallizer shell thickness 17.8 mm, go out 1147 ℃ of crystallizer base shell surface temperatures, the crystallizer ideal taper is 1.06 %/m.Wide the copper coin water yield 3850 L/min of crystallizer, 4 ℃ of the temperature difference, with actual amount of water 3950 L/min, 4.5 ℃ of data of the temperature difference conform to substantially.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 be used in solidification of molten steel diabatic process in the online multiple spot continuous measurement slab caster mould, and in large-scale production, convenient way is put forward in the adjustment of continuous casting manufacturing technique.
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 figure 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 map 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 profile of Fig. 4 for when 1000 * 200 mm slab caster top casting Stb32 steel, obtaining.
Fig. 5 concerns distribution map for the copper plate of crystallizer back draught that obtains when 1000 * 200 mm slab caster top casting Stb32 steel.
The specific embodiment
The method of solidification of molten steel diabatic process in the multiple spot continuous measurement simulation continuous cast mold provided by the invention, be that the temperature profile data that obtains with the monitoring in real time of thermocouple on the crystallizer copper plate of plate blank continuous casting machine is as the basis, 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.This system is simple and easy to do, applicability is high, reliability is high, can simulate the solidification and heat transfer process of molten steel in the slab caster mould by real-time online, and in large-scale production, the continuous adjustment and the improvement of continuous casting manufacturing technique provide convenient way.
To be example, the present invention is further elaborated below 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, this parameter comprises the liquidus temperature of steel grade, solid-state temperature, latent heat of solidification, thermal conductivity factor, thermal coefficient of expansion, solid phase specific heat capacity, liquid phase specific heat capacity, solid phase density, density of liquid phase and two-phase section steel grade density;
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 copper plate temperature parameter importing process:
Temperature Distribution relation and the thermocouple location relation that the monitoring in real time of crystallizer copper plate of plate blank continuous casting machine thermocouple obtains imports in the production technology database, measurement point is apart from meniscus position 100 mm and 200 mm positions in real time, thermocouple inserts the copper coin position apart from copper coin hot side 22 mm, and the temperature that online real-time measurement is 2 is respectively 105 ℃ and 97 ℃.
3. data computation process:
By receiving the primary data that the model data initialization procedure obtains, in the operation computing system, utilize slab two dimension computation model, calculate solidification of molten steel diabatic process in the crystallizer.
Described computing system is by the model data initialization module, the 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 are, calculates the solidification and heat transfer process of molten steel in the crystallizer with this.
4. result of calculation 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 calculates: 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 calculates: 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 distribution cloth as shown in Figure 3 in the crystallizer that present embodiment calculates: 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 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 is lower than the copper plate of crystallizer recrystallization temperature, 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 to meet and solidifies the regularity of distribution, has the parabola variation characteristic.
The method of solidification of molten steel diabatic process in the above-mentioned multiple spot continuous measurement simulation continuous cast mold provided by the invention, can realize by the system of solidification of molten steel diabatic process in the multiple spot continuous measurement simulation continuous cast mold, 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 is made up of conticaster database, physical parameter database and production technology database successively, and sets up interface to link to each other with the input of data run module on module; In the online importing control system, the crystallizer cooled copper temperature that thermocouple monitoring obtains, and the geometric parameter of this position (for example thermocouple insertion depth and apart from the meniscus range data) imported, 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 (5)
1. the method for solidification of molten steel diabatic process in the continuous cast mold is simulated in the multiple spot continuous measurement, the temperature profile data that it is characterized in that measuring in real time with the crystallizer copper plate of plate blank continuous casting machine thermocouple is as the basis, utilize convert transient heat flow density boundary condition on the crystallizer unit are of casting machine parameter, steel grade data parameters and processing parameter, calculate the solidification and heat transfer process of molten steel in the crystallizer.
2. method according to claim 1 is characterized in that described solidification of molten steel diabatic process is obtained by following step method:
The first step, carry out the model data initialization procedure:
At first to set the casting machine parameter in the initialization procedure: comprise continuous casting type, casting blank cross-section size, crystallizer size, computation model and calculating step parameter,
Next sets physical parameter: comprise the solid-liquid phase density parameter 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, copper plate of crystallizer thickness parameter;
Second step, copper plate temperature parameter importing process in real time:
The Temperature Distribution that obtains by the monitoring in real time of crystallizer copper plate of plate blank continuous casting machine thermocouple is the basis, and with this temperature and thermocouple distributing position, thermocouple insertion depth data in real time import system is confirmed the data input;
The 3rd step, the data computation process:
The data run module is with the data in the initialization procedure, and the temperature relation of the copper plate of crystallizer that measures of the on-line continuous crystallizer heat flow density that obtains that converts imports computation model, utilize the model that is adopted to calculate solidification of molten steel diabatic process in the continuous cast mold, obtain the important metallurgical parameter that comprises casting blank surface temperature, thickness of solidified slab shell in secondary, crystallizer cold and hot surface temperature, conical degree of crystallizer distribution, cooling water flow and temperature difference relation relevant in the continuous casting production process with crystallizer;
The 4th step, the result of calculation output procedure:
The result that will calculate by program preserves automatically, and in the graphical display function module, 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 distribution, cooling water flow and temperature difference relation are presented on the function panel with curve and digital form;
Obtain described diabatic process through above-mentioned steps.
3. method according to claim 2 is characterized in that described computation model is a slab two dimension computation model.
4. method according to claim 2 is characterized in that described diabatic process, and it transmits heat and conical degree of crystallizer and tests by crystallizer cooling water flow and temperature difference relation and the actual use of crystallizer tapering numerical value.
5. method according to claim 2, it is characterized in that the described data that calculate by comparative unit in the time cooling water flow and temperature difference relation test, and diabatic process is done further correction to instruct continuous casting production.
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| CN102847904A (en) * | 2012-09-11 | 2013-01-02 | 首钢总公司 | System and method for dynamic control of cooling of slab continuous casting crystallizer |
| CN105880501A (en) * | 2016-06-03 | 2016-08-24 | 中南大学 | Method for measuring heat resistance of covering slag and crystallizer interface in continuous casting crystallizer |
| CN105945251A (en) * | 2016-06-03 | 2016-09-21 | 中南大学 | Test method of casting powder consumption of continuous casting mold |
| CN106092020A (en) * | 2016-06-03 | 2016-11-09 | 中南大学 | The method of testing of melt cinder film thickness in a kind of continuous cast mold |
| CN106238695A (en) * | 2016-08-12 | 2016-12-21 | 湖南千盟物联信息技术有限公司 | Casting stream solidification forecast Control Algorithm in a kind of casting process crystallizer |
| WO2021259386A1 (en) * | 2020-06-23 | 2021-12-30 | 上海交通大学 | Parameter acquisition method for cast-piece solidification simulation and cast-in-place system gridding design method |
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| CN102847904B (en) * | 2012-09-11 | 2014-05-28 | 首钢总公司 | System and method for dynamic control of cooling of slab continuous casting crystallizer |
| CN105880501B (en) * | 2016-06-03 | 2018-02-23 | 中南大学 | A kind of method of covering slag and crystallizer interface resistance in measurement continuous cast mold |
| CN105945251A (en) * | 2016-06-03 | 2016-09-21 | 中南大学 | Test method of casting powder consumption of continuous casting mold |
| CN106092020A (en) * | 2016-06-03 | 2016-11-09 | 中南大学 | The method of testing of melt cinder film thickness in a kind of continuous cast mold |
| CN105880501A (en) * | 2016-06-03 | 2016-08-24 | 中南大学 | Method for measuring heat resistance of covering slag and crystallizer interface in continuous casting crystallizer |
| CN105945251B (en) * | 2016-06-03 | 2018-03-27 | 中南大学 | A kind of method of testing of continuous crystallizer protecting slag slag consumption |
| CN106092020B (en) * | 2016-06-03 | 2018-12-21 | 中南大学 | The test method of melt cinder film thickness in a kind of continuous cast mold |
| CN106238695A (en) * | 2016-08-12 | 2016-12-21 | 湖南千盟物联信息技术有限公司 | Casting stream solidification forecast Control Algorithm in a kind of casting process crystallizer |
| WO2021259386A1 (en) * | 2020-06-23 | 2021-12-30 | 上海交通大学 | Parameter acquisition method for cast-piece solidification simulation and cast-in-place system gridding design method |
| US11638953B2 (en) | 2020-06-23 | 2023-05-02 | Shanghai Jiao Tong University | Method for collecting parameters for casting solidification simulation and gridded design method for pouring and riser system |
| CN114918395A (en) * | 2022-04-22 | 2022-08-19 | 首钢集团有限公司 | Method for setting cooling water flow of crystallizer |
| CN114918395B (en) * | 2022-04-22 | 2024-04-16 | 首钢集团有限公司 | Setting method of cooling water flow of crystallizer |
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