CN107252882B - Method and system for Direct Rolling high temperature billet continuous casting process breakout prediction - Google Patents
Method and system for Direct Rolling high temperature billet continuous casting process breakout prediction Download PDFInfo
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- CN107252882B CN107252882B CN201710460854.1A CN201710460854A CN107252882B CN 107252882 B CN107252882 B CN 107252882B CN 201710460854 A CN201710460854 A CN 201710460854A CN 107252882 B CN107252882 B CN 107252882B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/16—Controlling or regulating processes or operations
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Abstract
A kind of method and system for Direct Rolling high temperature billet continuous casting process breakout prediction, belong to long profiles fabricating technology field.Processing step includes: data acquisition, temperature data pretreatment, amendment finite element model, bleed-out danger early warning.System includes: temperature data acquisition unit, continuous casting parameter acquiring unit, data transmission unit, Data Computation Unit, temperature parameter amending unit, temperature data transmission unit, bleed-out judging unit.The advantage is that the maximum discrimination threshold under different steel grades is characterized and initialized using average yield strength, state of temperature of the slab under different cooling techniques is accurately obtained in combination with online finite element program and is changed.This method can effectively forecast bleed-out accident under the premise of not against any external measurement device, thus rate of failing to report caused by effectively reducing due to field measurement apparatus failure.
Description
Technical field
The invention belongs to long profiles fabricating technology fields, connect more particularly to one kind for Direct Rolling high temperature square billet
The method and system of casting process breakout prediction carry out the breakout prediction control during high temperature billet continuous casting.
Background technique
The harmfulness that bleed-out accident keeps the safety in production to continuous casting is very big, especially produces in Direct Rolling high temperature billet continuous casting
In the process, continuous casting billet yield is not only directly affected, but also will affect milling train production capacity.In addition, bleed-out accident, which occurs, can also damage
Continuous casting installation for casting, such as crystallizer, secondary cooling water nozzle, roller-way etc., to cause huge economic losses to manufacturing enterprise.
Mainly pass through neural network method about steel leakage prediction system both at home and abroad at present to be forecast.Wherein neural network side
Method has well adapting to property, and it forecasts that accuracy is continuously improved with the growth of exercise time.Such as patent
201110431124.1 describing a kind of method that self-adapted genetic algorithm is introduced BP neural network.Patent
201010207115.X describes a kind of connection weight and threshold value that BP neural network model is initialized using genetic algorithm, from
And judge the method for bleed-out accident.The above-mentioned realization based on neural network prediction bleed-out method is all built upon thermocouple temperature measurement
On method basis.Compared with traditional continuous casting manufacturing technique, due to needing in Direct Rolling high temperature billet continuous casting production process
Temperature raising is carried out to slab, so neural network model can lack corresponding systematic learning number for new continuous casting manufacturing technique
According to, and then will affect the precision of neural network method forecast bleed-out.
Summary of the invention
The purpose of the present invention is to provide a kind of method for Direct Rolling high temperature billet continuous casting process breakout prediction and
System solves the problems, such as the prior art to the insufficient of Direct Rolling high temperature billet continuous casting production new technique adaptability.By green shell
Horizontal tensile stress model is coupled with green shell average yield strength model, creates a kind of new theoretical model prediction mechanics, from
And increase the scope of application of continuous casting manufacturing technique, reduce the generation of wrong report with failing to report phenomenon.
The present invention characterizes using average yield strength and initializes the maximum discrimination threshold under different steel grades, ties simultaneously
It closes online finite element program and accurately obtains state of temperature variation of the slab under different cooling techniques.This method can not against
Bleed-out accident is effectively forecast under the premise of any external measurement device, to effectively reduce due to field measurement apparatus failure and lead
The rate of failing to report of cause.
Of the invention comprises the technical steps that for the breakout prediction method during Direct Rolling high temperature billet continuous casting:
1. data acquire
(1) by Gleeble thermal simulation machine obtain HRB400E steel grade 800 DEG C~1300 DEG C yield strength data simultaneously
Data fitting is carried out, its average yield strength (i.e. maximum discrimination threshold) is then obtained by Integral Processing, wherein yield strength
Data fitting method are as follows:
Wherein, σsIt (T) is the slab yield strength under different temperatures, ai(i=0,1,2 ..., n) is multinomial coefficient, and T is
Temperature；
The model of its average yield strength (i.e. maximum discrimination threshold) is obtained by Integral Processing to described are as follows:
Wherein, TsolidFor the solidus temperature of HRB400E, Tsolid(x, y, t) is indicated at the position in t moment apart from meniscus y
The distance on freezing interface (temperature) distance casting blank surface is x, wherein TsurfFor the temperature on continuous casting square billet surface, Tsurf(x=0, y,
T) temperature of casting billet surface at the position in t moment apart from meniscus y is indicated.
(2) it is set up at conticaster crystallizer exit position, secondary cooling zone exit position and slab cutting machine position red
The square billet surface temperature data of outer temperature measurer measurement corresponding position, temperature measurement frequency are 5~10 times/s；
(3) by each measuring device of conticaster obtain pour steel temperature, casting speed, crystallizer water flow, crystallizer into-go out
Each section of water distribution quantity of the saliva temperature difference, secondary cooling zone and ambient temperature data are input in finite element program and carry out slab temperature field
Calculate, wherein 150mm × 150mm square billet pulling rate be 2.6~3.1m/min, 160mm × 160mm square billet pulling rate be 2.3~
2.8m/min, wherein continuous casting parameter sampling frequency is 2 times/s；
2. temperature data pre-processes
Be not to be exceeded 2% according to adjacent moment sample temperature amplitude of variation, if the sample temperature at current time with it is previous
The sample temperature at moment differs by more than 2%, then carries out data prediction according to the principle for not recording current time abnormal temperature, with
Temperature averages processing is carried out to the temperature data points measured in 1 second afterwards.
3. correcting finite element model
The temperature of infrared radiation thermometer measurement on conticaster specific position is calculated temperature with finite element program to compare,
And automatic corrected Calculation parameter, repeatedly in this way, being less than or equal to predetermined allowance until calculating the error between temperature and observed temperature,
Wherein, it is specified that tolerance refers to:
Wherein, t is time, TcFor the casting blank surface temperature of FEM calculation, TmFor the casting billet surface temperature of infrared radiation thermometer measurement
Degree, FtoleranceFor predetermined allowance, value 0.05~0.1；
4. bleed-out danger early warning
Casting blank surface temperature data under the conditions of the specific cooling technique that revised finite element program is calculated online
The horizontal tensile stress model being input in average yield strength model (i.e. maximum discrimination threshold) and crystallizer and secondary cooling zone is worked as
In, according to maximum discrimination threshold and tensile stress value, judge whether green shell institute tension stress is equal to maximum differentiation under different moments
Threshold value, if tensile stress is equal to maximum discrimination threshold, there are bleed-out risks, and are alarmed, wherein finite element program updates meter
Calculation temperature data frequency is 1 time/s；Wherein, horizontal tensile stress model of the green shell in crystallizer and secondary cooling zone are as follows: σ (T)=
σH(T)+σM(T) formula (4), wherein σ (T) is the casting billet surface horizontal tensile stress under different temperatures, σH(T) under different temperatures
The green shell drawing stress on surface as caused by thermal stress, σMIt (T) is the mechanical tensile stress under different temperatures.
Average yield strength model of the present invention includes that casting blank surface temperature is more than or equal to solidus temperature, slab table
Face temperature is less than solidus temperature and slab is in equal temperature state and amounts to three kinds of situations.The secondary cooling zone exit position and
Slab cutting machine should remove continuous casting billet surface scale at position.
The present invention also provides the steel leakage prediction systems during a kind of high temperature billet continuous casting for Direct Rolling, comprising: temperature
Spend data capture unit, continuous casting parameter acquiring unit, data transmission unit, Data Computation Unit, temperature parameter amending unit, temperature
Spend data transmission unit, bleed-out judging unit.
Temperature data acquisition unit obtains institute for the infrared radiation thermometer measurement by being erected on conticaster specific position
State the casting blank surface temperature data of corresponding position；
Continuous casting parameter acquiring unit pours steel temperature, casting speed, crystallization for what is obtained by each measuring device of conticaster
Device water flow, crystallizer poor, each section of water distribution quantity of secondary cooling zone and ambient temperature data into-exit water temperature；
Data transmission unit, for the continuous casting supplemental characteristic to be input in finite element program；
Data Computation Unit carries out slab Temperature calculating for finite element program；
Temperature parameter amending unit, the temperature for measuring the infrared radiation thermometer on conticaster specific position
It is compared with temperature is calculated, and corrected Calculation parameter；
Temperature data transmission unit, for will be under the conditions of the calculated specific cooling technique of revised finite element program
Casting blank surface temperature data are input to the average yield strength model (i.e. maximum discrimination threshold) and crystallizer and two cold
In horizontal tensile stress model in area；
Bleed-out judging unit, for judging the base under different moments according to the maximum discrimination threshold and tensile stress value
Whether shell institute tension stress is equal to maximum discrimination threshold, if tensile stress is equal to maximum discrimination threshold, there are bleed-out risks, and give
With alarm.
It can be seen from the above technical scheme that the breakout prediction being used for during Direct Rolling high temperature billet continuous casting of the invention
Method and system can carry out slab bleed-out accident under the premise of no any reference data pre- compared with the prior art
Report, than the better adaptability of conventional method, is particularly suited for the production practices of new continuous casting process.
Detailed description of the invention
Fig. 1 is pre- for the bleed-out during Direct Rolling high temperature billet continuous casting to be provided according to embodiments of the present invention
The flow chart of reporting method.
Fig. 2 is erection schematic diagram of the infrared radiation thermometer in conticaster specific location.
Fig. 3 is steel leakage prediction system building-block of logic.
Fig. 4 is that slab goes out the state of temperature calculated result figure after crystallizer.
Fig. 5 is forecast bleed-out schematic diagram of the invention.
Fig. 6 is the on-site verification figure of breakout prediction result.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawing.
Fig. 1 is shown for the breakout prediction method process during Direct Rolling high temperature billet continuous casting.
According to embodiment of the present invention, for the breakout prediction method during Direct Rolling high temperature billet continuous casting
May include:
1. data acquire
On billet caster produce HRB400E steel, chemical component be C 0.23%, Si 0.42%, Mn 1.32%,
P 0.021%, S 0.02%, V 0.025%, square billet is having a size of 160mm × 160mm.
(1) by Gleeble thermal simulation machine obtain HRB400E steel grade 800 DEG C~1300 DEG C yield strength data simultaneously
Data fitting is carried out, its average yield strength (i.e. maximum discrimination threshold) is then obtained by Integral Processing, wherein yield strength
Data fitting method are as follows:
Wherein, σsIt (T) is the slab yield strength under different temperatures, ai(i=0,1,2 ..., n) is multinomial coefficient, and T is
Temperature；
The model of its average yield strength (i.e. maximum discrimination threshold) is obtained by Integral Processing to described are as follows:
Wherein, TsolidFor the solidus temperature of HRB400E, Tsolid=1446 DEG C；Tsolid(x, y, t) is indicated in t moment apart from curved
The distance on freezing interface (temperature) distance casting blank surface is x at the position of lunar surface y；TsurfFor the temperature on continuous casting square billet surface, Tsurf
(x=0, y, t) indicates the temperature of casting billet surface at the position in t moment apart from meniscus y.
(2) it is set up at conticaster crystallizer exit position, secondary cooling zone exit position and slab cutting machine position red
The square billet surface temperature data of outer temperature measurer measurement corresponding position, temperature measurement frequency are 5 times/s.It is illustrated in Fig. 2
Infrared radiation thermometer is crystallizer exit position, secondary cooling zone exit position and slab cutting machine in the position that conticaster is set up
At position.The measurement range of infrared radiation thermometer can be 600~1600 DEG C.
(3) by each measuring device of conticaster obtain pour steel temperature, casting speed, crystallizer water flow, crystallizer into-go out
Each section of water distribution quantity of the saliva temperature difference, secondary cooling zone and ambient temperature data are input in finite element program and carry out slab temperature field
It calculates, wherein continuous casting parameter sampling frequency is 2 times/s；In this example, actual verification forecast square billet occurs after going out crystallizer
The accuracy of bleed-out behavior, wherein pour steel temperature, casting speed, crystallizer water flow, crystallizer in billet continuous casting production
It is as shown in table 1 into parameters such as-exit water temperature differences.
1 continuous casting manufacturing technique parameter of table
2. temperature data pre-processes
Be not to be exceeded 2% according to adjacent moment sample temperature amplitude of variation, if the sample temperature at current time with it is previous
The sample temperature at moment differs by more than 2%, then carries out data prediction according to the principle for not recording current time abnormal temperature, with
Temperature averages processing is carried out to the temperature data points measured in 1 second afterwards.
3. correcting finite element model
The temperature of infrared radiation thermometer measurement on conticaster specific position is calculated temperature with finite element program to compare,
And automatic corrected Calculation parameter, repeatedly in this way, being less than or equal to predetermined allowance until calculating the error between temperature and observed temperature,
Wherein, it is specified that tolerance refers to:
Wherein, t is time, TcFor the casting blank surface temperature of FEM calculation, TmFor the casting billet surface temperature of infrared radiation thermometer measurement
Degree, FtoleranceFor predetermined allowance, value 0.1；
4. bleed-out danger early warning
Casting blank surface temperature data under the conditions of the specific cooling technique that revised finite element program is calculated online
The horizontal tensile stress model being input in average yield strength model (i.e. maximum discrimination threshold) and crystallizer and secondary cooling zone is worked as
In, according to maximum discrimination threshold and tensile stress value, judge whether green shell institute tension stress is equal to maximum differentiation under different moments
Threshold value, if tensile stress is equal to maximum discrimination threshold, there are bleed-out risks, and are alarmed, wherein finite element program updates meter
Calculation temperature data frequency is 1 time/s.
It corresponds to the above method, the present invention also provides a kind of bleed-out for Direct Rolling high temperature billet continuous casting process is pre-
Reporting system, Fig. 3 show the steel leakage prediction system according to an embodiment of the present invention for Direct Rolling high temperature billet continuous casting process
Logical construction.
Fig. 4 show it is specific it is cold remove technological parameter under, the slab being calculated online at the position meniscus 730mm exists
1/4 slab temperature distribution state at this position.
Fig. 5 shows forecast bleed-out schematic diagram according to the present invention.Fig. 5 shows this position temperature corresponding with Fig. 4
Under degree state at casting billet surface midpoint and distance casting blank corner 22cm surface location casting billet surface maximum tension stress value with
And casting billet surface average yield strength is worth comparing, wherein the green shell average yield strength in the forecast of casting billet surface midpoint is
7MPa, maximum tension stress value are 6.8MPa, and forecast shows that this position casting billet surface midpoint does not have bleed-out risk；In distance casting blank
The green shell average yield strength forecast at the 22cm surface location of corner is 4.9MPa, and maximum tension stress value is 5.9MPa, and forecast is aobvious
Show this position from there is bleed-out risk at the 22mm surface location of slab corner, conticaster then increases each section of secondary cooling zone of water distribution
Amount, to prevent serious bleed-out accident.Subsequent operator observes this section of continuous casting square billet, and there are slab steel for discovery
Water, which rises, leaks phenomenon, and Fig. 6 shows that the bleed-out position occurred after slab goes out crystallizer, practical bleed-out position occur at distance casting blank angle
At the portion position 21.8mm, it is consistent with forecast result, it is effective illustrates that breakout prediction determines.
Claims (3)
1. one kind is used for Direct Rolling high temperature billet continuous casting process breakout prediction method, it is characterised in that by green shell horizontal tensile stress
Model is coupled with green shell average yield strength model, is included the following steps:
(1) data acquire
A) HRB400E steel grade is obtained by Gleeble thermal simulation machine to go forward side by side line number in 800 DEG C~1300 DEG C of yield strength data
According to fitting, its average yield strength is then obtained by Integral Processing, i.e., maximum discrimination threshold, wherein
Its average yield strength, i.e., the model of maximum discrimination threshold are obtained by Integral Processing to described are as follows:
Wherein, TsolidFor the solidus temperature of HRB400E, Tsolid(x, y, t) is indicated at the position in t moment apart from meniscus y
The distance on freezing interface (temperature) distance casting blank surface is x, wherein TsurfFor the temperature on continuous casting square billet surface, Tsurf(x=0, y,
T) temperature of casting billet surface at the position in t moment apart from meniscus y is indicated；
B) infrared measurement of temperature is set up at conticaster crystallizer exit position, secondary cooling zone exit position and slab cutting machine position
Instrument measures the square billet surface temperature data of corresponding position, and temperature measurement frequency is 5~10 times/s；
C) by each measuring device of conticaster obtain pour steel temperature, casting speed, crystallizer water flow, crystallizer into-go out saliva
Each section of water distribution quantity of the temperature difference, secondary cooling zone and ambient temperature data are input in finite element program and carry out slab Temperature calculating,
Wherein, 150mm × 150mm square billet pulling rate is 2.6~3.1m/min, and 160mm × 160mm square billet pulling rate is 2.3~2.8m/min,
Wherein, continuous casting parameter sampling frequency is 2 times/s；
(2) temperature data pre-processes
2% is not to be exceeded according to adjacent moment sample temperature amplitude of variation, the sample temperature at current time and adopting for previous moment
Sample temperature difference is greater than 2%, then data prediction is carried out according to the principle for not recording current time abnormal temperature, then to 1 second
The temperature data points inside measured carry out temperature averages processing；
(3) corrects finite element model
The temperature of infrared radiation thermometer measurement on conticaster specific position is calculated temperature with finite element program to compare, and from
Dynamic corrected Calculation parameter, repeatedly in this way, being less than or equal to predetermined allowance until calculating the error between temperature and observed temperature,
In, it is specified that tolerance refers to:Wherein, t is time, TcFor the casting of FEM calculation
Base surface temperature, TmFor the casting blank surface temperature of infrared radiation thermometer measurement, FtoleranceFor predetermined allowance, value 0.05~0.1；
(4) bleed-out danger early warning
Casting blank surface temperature data input under the conditions of the specific cooling technique that revised finite element program is calculated online
To average yield strength model, i.e., in the horizontal tensile stress model in maximum discrimination threshold and crystallizer and secondary cooling zone, root
According to maximum discrimination threshold and tensile stress value, judge whether green shell institute tension stress is equal to maximum discrimination threshold under different moments,
When tensile stress is equal to maximum discrimination threshold, then there is bleed-out risk, and alarmed, wherein finite element program, which updates, calculates temperature
Degree data frequency is 1 time/s.
2. breakout prediction method according to claim 1, which is characterized in that the secondary cooling zone exit position and slab
Continuous casting billet surface scale should be removed at cutting machine position.
3. a kind of system for the breakout prediction described in claim 1, which is characterized in that the system includes: temperature data
Acquiring unit, continuous casting parameter acquiring unit, data transmission unit, Data Computation Unit, temperature parameter amending unit, temperature data
Transmission unit, bleed-out judging unit；
Temperature data acquisition unit obtains the phase for the infrared radiation thermometer measurement by being erected on conticaster specific position
Answer the casting blank surface temperature data at position；
Continuous casting parameter acquiring unit pours steel temperature, casting speed, crystallizer water for what is obtained by each measuring device of conticaster
Flow, crystallizer poor, each section of water distribution quantity of secondary cooling zone and ambient temperature data into-exit water temperature；
Data transmission unit, for the continuous casting supplemental characteristic to be input in finite element program；
Data Computation Unit carries out slab Temperature calculating for finite element program；
Temperature parameter amending unit, by by the temperature of the infrared radiation thermometer measurement on conticaster specific position and based on
It calculates temperature to compare, and corrected Calculation parameter；
Temperature data transmission unit, for by the slab under the conditions of the calculated specific cooling technique of revised finite element program
Surface temperature data is input to the average yield strength model, i.e., in maximum discrimination threshold and crystallizer and secondary cooling zone
Horizontal tensile stress model in；
Bleed-out judging unit, for according to the maximum discrimination threshold and tensile stress value, judging the green shell institute under different moments
Whether tension stress is equal to maximum discrimination threshold, if tensile stress is equal to maximum discrimination threshold, there are bleed-out risks, and are reported
It is alert.
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| CN108705058B (en) * | 2018-05-22 | 2019-06-07 | 大连理工大学 | A method of forecast Crystallizer bleed-out is clustered based on K-Means |
| CN110340322B (en) * | 2019-08-22 | 2022-01-18 | 联峰钢铁（张家港）有限公司 | Method and device for automatic casting in continuous casting |
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| DE2923900C2 (en) * | 1979-06-13 | 1984-09-13 | Hoesch Werke Ag, 4600 Dortmund | Method for preventing the strand from breaking through in continuous casting plants |
| CN101045255A (en) * | 2006-03-27 | 2007-10-03 | 宝山钢铁股份有限公司 | Continuous casting bleed-out quick response method, and device therefor |
| CN101934353A (en) * | 2009-06-30 | 2011-01-05 | 上海宝信软件股份有限公司 | Device and method for breakout prediction during slab continuous casting |
| CN101850410B (en) * | 2010-06-22 | 2012-06-20 | 攀钢集团钢铁钒钛股份有限公司 | Continuous casting breakout prediction method based on neural network |
| CN102554171B (en) * | 2011-12-21 | 2014-04-23 | 天津钢铁集团有限公司 | Breakout prediction method for continuous casting |
| CN102886504B (en) * | 2012-10-31 | 2014-06-25 | 大连理工大学 | Crystallizer bleed-out visual forecasting method based on machine vision |
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