KR20120032924A - Method for estimating steel component during mixed grade continuous casting - Google Patents
Method for estimating steel component during mixed grade continuous casting Download PDFInfo
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- KR20120032924A KR20120032924A KR1020100094491A KR20100094491A KR20120032924A KR 20120032924 A KR20120032924 A KR 20120032924A KR 1020100094491 A KR1020100094491 A KR 1020100094491A KR 20100094491 A KR20100094491 A KR 20100094491A KR 20120032924 A KR20120032924 A KR 20120032924A
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- South Korea
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- tundish
- mold
- molten steel
- discharge amount
- steel
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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
- B22D11/12—Accessories for subsequent treating or working cast stock in situ
- B22D11/124—Accessories for subsequent treating or working cast stock in situ for cooling
-
- 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
- B22D11/12—Accessories for subsequent treating or working cast stock in situ
- B22D11/126—Accessories for subsequent treating or working cast stock in situ for cutting
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D41/00—Casting melt-holding vessels, e.g. ladles, tundishes, cups or the like
Abstract
Description
The present invention relates to a method for predicting steel grade during continuous casting of two steel grades, which predicts the degree of mixing of steel species mixed and discharged in a tundish for a predetermined time when continuously casting different steels (called different steel grades).
Continuous casting machine is a facility that produces cast steel of a certain size by receiving molten steel produced in a steelmaking furnace and transported to ladle in a tundish and then feeding it into a mold for continuous casting machine.
The continuous casting machine includes a ladle for storing molten steel, a continuous casting machine mold for cooling the tundish and the molten steel discharged from the tundish into a strand having a predetermined shape, and a strand formed from the mold connected to the mold. It includes a plurality of pinch rolls to move.
In other words, the molten steel tapping out of the ladle and the tundish is formed of a strand having a predetermined width, thickness, and shape in a mold and is transferred through a pinch roll, and the strand transferred through the pinch roll is cut by a cutter to have a predetermined shape. It is made of a slab (Slab) or a slab (Bloom), billet (Billet) and the like.
In the case of the ladle is composed of a plurality of ladle, if the molten steel of the first ladle is all supplied to the tundish, the molten steel is supplied again to the tundish in the second ladle successively.
In general, in order to continuously and efficiently produce a variety of steel grades, only ladles are exchanged and continuous steel casting operations are performed. Since the first steel grade before ladle exchange and the second steel after ladle exchange are mixed with each other in the tundish to produce mixed steel grades (outside the component separation), it is necessary to predict and remove the mixed steel grade in advance according to continuous casting. .
An object of the present invention is to predict the degree of mixing of the steel species mixed and discharged in the tundish for a certain time during continuous casting of the steel sheet to predict the grade of the steel grade during continuous casting of different steel grades to minimize the mixed band To provide.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not intended to limit the invention to the particular embodiments that are described. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are not restrictive of the invention, There will be.
The steel grade prediction method of the present invention for achieving the above object comprises a first step of setting the molten steel level (L) of the tundish as the operation variable and the discharge amount (T) of the mold, respectively; A second step of calculating discharge amounts (A 1 , A 2 , p) of various molds according to variations in the tundish molten steel level using the L value and the T value; A third step of calculating the molten steel level (X 0 ) of the tundish according to the variation of the mold discharge amount using the L value and the T value; Steel grade component concentration according to the molten steel level (L) of the tundish and the discharge amount (T) of the mold by using the calculated discharge amounts (A 1 , A 2 , p) of the various molds and the molten steel level (X 0 ) of the tundish. Calculating and obtaining a fourth step; And a fifth step of predicting the steel grade or the mixed band by comparing the obtained steel grade component concentration with a set minimum and maximum allowable value, respectively.
Specifically, the fourth step may include: calculating a time t calculated from the time point at which the new molten steel is added to the tundish by dividing by the molten steel level (X 0 ) of the tundish according to the change in the discharge amount; A 42nd step of adding the set constant after exponentially multiplying the value calculated in the 41th step by the discharge amount p of the mold according to the variation of the molten steel level of the tundish; A 43rd step of calculating by dividing the value A 1 and A 2 by the value derived in step 42; And a step 44 to obtain a type of steel component concentration by adding the discharge amount (A 2) of the mold in accordance with the fluctuation of the molten steel level in the dish turns with the value calculated in the step 43; characterized in that it comprises a.
In addition, the A 1 is a function of the discharge amount (T) of the turn is larger mold sensitivity than the fluctuation of the molten steel level (L) of the dish, wherein A 2 is the sensitivity more than the variation of the turn-molten steel level (L) of the dish Is a function of the ejection amount T of the large mold, p is a function of the ejection amount T of the mold whose sensitivity is greater than the variation of the molten steel level L of the tundish, and X 0 is the ejection amount T of the mold It is characterized in that it is a function of the molten steel level (L) of the tundish having a greater sensitivity than the fluctuation of.
The fifth step is the first steel grade when the obtained steel grade component concentration is less than or equal to the minimum allowable value. In this case, it is characterized by determining by predicting the second steel type.
As described above, according to the present invention, through the prediction process of the steel species during continuous casting of two steel grades , it is possible to estimate the time when the component component of the strand occurs according to the operating variables ( L, T ) and the operating time ( t ) strands By variably adjusting the cutting position, it is possible to reduce the scrap processing ratio of the mixed slab, and to minimize the occurrence of the component gap, thereby improving the error rate.
1 is a side view showing a continuous casting machine according to an embodiment of the present invention.
FIG. 2 is a conceptual view illustrating the continuous casting machine of FIG. 1 based on the flow of molten steel M. Referring to FIG.
3 is a plan view of the tundish of FIG. 2 seen from above;
4 and 5 are flowcharts showing the steel sheet prediction process during continuous casting of two steel types according to an embodiment of the present invention.
FIG. 6 is a view for explaining a steel type mixing state with time when a new steel type is added to a tundish. FIG.
FIG. 7 is a diagram illustrating steel grades and component gaps according to steel grade component concentrations.
8 is a graph showing a numerical analysis and prediction model according to the present invention.
Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the present invention. Like elements in the figures are denoted by the same reference numerals wherever possible. In addition, detailed descriptions of well-known functions and configurations that may unnecessarily obscure the subject matter of the present invention will be omitted.
1 is a side view showing a continuous casting machine according to an embodiment of the present invention.
Referring to this drawing, the continuous casting machine may include a tundish 20, a
A tundish 20 is a container for receiving molten metal from a
The
The
The
The
The drawing device adopts a multidrive method using a plurality of sets of
The
FIG. 2 is a conceptual view illustrating the continuous casting machine of FIG. 1 based on the flow of molten steel M. Referring to FIG.
Referring to this figure, the molten steel (M) is to flow to the tundish 20 in the state accommodated in the ladle (10). For this flow, the
The molten steel M in the
The molten steel M in the
As the pinch roll 70 (FIG. 1) pulls the
3 is a plan view from above of the tundish of FIG.
Referring to this figure, the
The shape of the
A
The tapping
The
At present, in order to continuously and efficiently produce various steel grades (two kinds of steel), only the
The mixing pattern of this type of steel is changed according to the operation method.
4 and 5 are flowcharts showing a steel sheet prediction process during continuous casting of two steel types according to an embodiment of the present invention, with reference to the accompanying drawings to explain the steel sheet prediction process.
First, when the injection of the first steel type of the
That is, the new second steel grade introduced from the
Here, the concentration value of the new second steel grade may be defined as "1", and the concentration value of the previous first steel grade may be defined as "0", and the mixing degree may be represented as 0 to 1 value.
That is, some molten steel is discharged while the new molten steel of the second steel is mixed with the molten steel of the first steel, and the rest is continuously mixed with the previous steel while continuously recycling the tundish. The lowest value of the steel grade mixed concentration value is present at some point inside the tundish rather than the
By the way, the maximum value of the steel grade mixed value in the
The present invention focuses on this, the mixed concentration value of the steel species discharged to the
As described above, a method of predicting whether the steel grade or the component separation is discharged through the
First, in the processing system (not shown), the molten steel level L of the
Although not shown, the processing system includes input means for inputting parameters such as various variables and coefficients, a control unit for calculating a component concentration of steel grades according to arithmetic algorithms and various variables and coefficients stored in a memory, and a calculated component concentration. It may be configured as a computer including a display unit for displaying in text or graph by the control unit.
Subsequently, the processing system uses the molten steel level L of the
Then, using the molten steel level L of the
The discharge amounts A 1 , A 2 , p of the
Equation 1
Where L is the molten steel level [%] of the
In the A 1 is a function of the discharge amount (T) of the
Wherein A 2 is turned the sensitivity than the variation of the
Wherein p is a function of the discharge amount (T) of the
Wherein X 0 is a function of the molten steel level (L) of the
Sensitivity at A 1 , A 2 , p and X 0 is obtained as the ratio of each coefficient of the molten steel level L of the
As described above, when the discharge amounts A 1 , A 2 , p of the
The process (S40) of obtaining the steel grade component concentration ( C ) above is shown in detail in FIG. 5.
That is, the processing system calculates by dividing the time t counted from the time when the new molten steel is put into the tundish by the molten steel level ( X 0 ) of the
The value calculated in step S41 is exponentially multiplied by the discharge amount p of the
Subsequently, the mold discharge amounts A 1 and A 2 are subtracted and calculated by dividing the subtracted value by the value derived in S42 (S43).
The value calculated in S43 is added to the discharge amount A 2 of the
As shown in FIG. 5, the algorithm for obtaining the steel grade component concentration C may be represented by Equation 2 below. Various parameters A 1 , A 2 , p, and X 0 of Equation 2 are obtained by Equation 1.
Equation 2
Here, t is the elapsed time from the time when a new molten steel was put into a tundish.
Subsequently, the processing system compares the steel grade component concentration C obtained in step S40 with the minimum and maximum allowable values set as shown in FIG. 7, respectively, and predicts the steel grade or mixed band. That is, the molten steel level L of the
Here, when the obtained steel grade component concentration is less than or equal to the minimum allowable value, it is the first steel grade, and when the steel grade component concentration is located between the minimum and maximum allowable values, the component grade is outside, and the steel grade component concentration is greater than or equal to the maximum allowable value. Prediction can be made based on the second steel grade.
In this way, through the process of predicting steel grades during continuous casting of two kinds of steel , it is possible to estimate the timing of occurrence of the constituent outside of the strand according to the operating variables ( L, T ) and the operating time ( t ), and to adjust the position at which the strand is cut. As a result, the scrap processing ratio of the mixed slab (component gap) can be reduced, and the occurrence rate of the component gap can be minimized to improve the error rate.
As a result of experiments using the water model to predict the steel composition concentration, the results as shown in FIG. 8 were obtained. In conclusion, the predictive model accuracy (R 2 ) was 96.3%.
The experiments were variously performed according to the time change (group of solid lines) and the discharge amount of the mold 30 (each solid line in the solid line group) in which a new molten steel was introduced into the
In this way, the steel mixture mixture prediction method for continuous casting of two steel grades can be quickly and accurately predicted even when various operating conditions change, so it can be directly put into the actual operation site, and it is possible to predict the outside of the component grade of the two steel grades. Clearly distribute between products.
The present invention has been described with reference to the preferred embodiments, and those skilled in the art to which the present invention pertains to the detailed description of the present invention and other forms of embodiments within the essential technical scope of the present invention. Could be. Here, the essential technical scope of the present invention is shown in the claims, and all differences within the equivalent range will be construed as being included in the present invention.
10: Ladle 11: First Ladle
12: second ladle 15: shroud nozzle
20: Tundish 25: Immersion Nozzle
30: mold 40: mold oscillator
50: powder feeder 51: powder layer
52: liquid fluidized bed 53: lubricating layer
60: support roll 65: spray
70: pinch roll 80: strand
81: solidified shell 82: unsolidified molten steel
83: tip 85: solidification completion point
Claims (13)
A second step of calculating discharge amounts (A 1 , A 2 , p) of various molds according to variations in the tundish molten steel level using the L value and the T value;
A third step of calculating the molten steel level (X 0 ) of the tundish according to the variation of the mold discharge amount using the L value and the T value;
Steel grade component concentration according to the molten steel level (L) of the tundish and the discharge amount (T) of the mold by using the calculated discharge amounts (A 1 , A 2 , p) of the various molds and the molten steel level (X 0 ) of the tundish. Calculating and obtaining a fourth step; And
And a fifth step of predicting steel grade or mixed band by comparing the obtained steel grade component concentration with a set minimum and maximum allowable value, respectively.
In the fourth step,
A 41 th step of calculating the time t counted from the time when the new molten steel is added to the tundish by dividing the tumbled steel level (X 0 ) according to the discharge amount;
A 42nd step of adding the set constant after exponentially multiplying the value calculated in the 41th step by the discharge amount p of the mold according to the variation of the molten steel level of the tundish;
A 43rd step of calculating by dividing the value A 1 and A 2 by the value derived in step 42; And
And a 44th step of obtaining a steel grade component concentration by adding the discharge amount (A 2 ) of the mold according to the variation of the molten steel level of the tundish to the value calculated in the 43rd step.
The constant set in step 42 is a method for predicting steel grades when performing yeongangjong.
A 1 is a method for predicting steel grades for two-stranded casting , which is a function of a discharge amount T of a mold having a sensitivity higher than a variation of the molten steel level (L) of the tundish.
Wherein A 1 has a sensitivity of about 23 times with respect to the discharge amount (T) of the mold than the variation of the molten steel level (L) of the tundish.
A 2 is a method for predicting steel grades in two-stranded strand casting as a function of a discharge amount T of a mold having a sensitivity higher than a variation of the molten steel level (L) of the tundish.
Wherein A 2 has a sensitivity of about 2.2 times the discharge amount (T) of the mold than the fluctuation of the molten steel level (L) of the tundish, the steel grade prediction method.
Wherein p is a function of dwell yigangjong give grades prediction method for a discharge amount (T) of the sensitivity variation is larger than the mold of the molten steel level (L) of the tundish.
P is a sensitivity of about 2.2 times with respect to the discharge amount (T) of the mold than the variation of the molten steel level (L) of the tundish.
X 0 is a method for predicting steel grades in two-stranded casting as a function of the molten steel level (L) of the tundish, which is more sensitive than the variation in the discharge amount (T) of the mold.
Wherein X 0 has a sensitivity of about 4.7 times with respect to the molten steel level (L) of the tundish than the variation of the discharge amount (T) of the mold steel grade prediction method.
Wherein A 1 , A 2 , X 0 and p are respectively predicted by the following equation, the class of two steel grades performance.
Equation
Where L is the molten steel level [%] of the tundish and T is the discharge amount [ton / min] of the mold.
The fifth step,
If the obtained steel grade component concentration is less than the minimum allowable value, it is the first grade, and if the steel grade component concentration is located between the minimum and maximum allowable values, it is out of component grade; Method for predicting steel grades when performing two kinds of performances.
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Cited By (3)
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WO2015099213A1 (en) * | 2013-12-23 | 2015-07-02 | 주식회사 포스코 | Method for continuously casting different grades of steel |
CN104841902A (en) * | 2015-05-15 | 2015-08-19 | 北京首钢自动化信息技术有限公司 | Optimization device and method for casting blank production plan during period of rapidly exchanging tundish |
CN113182500A (en) * | 2021-06-30 | 2021-07-30 | 北京科技大学 | Physical model-based method and system for predicting length and component change of mixed casting blank |
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JP2000000645A (en) | 1998-06-16 | 2000-01-07 | Tokai Kogyo Kk | Steel kind judging method in sequentially continuous casting steel of different kind |
JP3548443B2 (en) | 1998-12-17 | 2004-07-28 | 新日本製鐵株式会社 | Continuous casting method for continuously casting different types of molten steel |
KR100419886B1 (en) * | 1999-12-21 | 2004-03-02 | 주식회사 포스코 | Prediction method of the steel component during mixed grade continuous casting |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2015099213A1 (en) * | 2013-12-23 | 2015-07-02 | 주식회사 포스코 | Method for continuously casting different grades of steel |
CN105848808A (en) * | 2013-12-23 | 2016-08-10 | 株式会社Posco | Method for continuously casting different grades of steel |
EP3088102A4 (en) * | 2013-12-23 | 2016-11-02 | Posco | Method for continuously casting different grades of steel |
EP3088102B1 (en) | 2013-12-23 | 2017-11-08 | Posco | Method for continuously casting different grades of steel |
CN104841902A (en) * | 2015-05-15 | 2015-08-19 | 北京首钢自动化信息技术有限公司 | Optimization device and method for casting blank production plan during period of rapidly exchanging tundish |
CN113182500A (en) * | 2021-06-30 | 2021-07-30 | 北京科技大学 | Physical model-based method and system for predicting length and component change of mixed casting blank |
CN113182500B (en) * | 2021-06-30 | 2021-10-15 | 北京科技大学 | Physical model-based method and system for predicting length and component change of mixed casting blank |
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