EP3167976B1 - Molten steel flow-state estimating method and flow-state estimating device - Google Patents
Molten steel flow-state estimating method and flow-state estimating device Download PDFInfo
- Publication number
- EP3167976B1 EP3167976B1 EP15819360.7A EP15819360A EP3167976B1 EP 3167976 B1 EP3167976 B1 EP 3167976B1 EP 15819360 A EP15819360 A EP 15819360A EP 3167976 B1 EP3167976 B1 EP 3167976B1
- Authority
- EP
- European Patent Office
- Prior art keywords
- fluidity
- external force
- molten steel
- error
- state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Not-in-force
Links
Images
Classifications
-
- 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
- B22D11/00—Continuous casting of metals, i.e. casting in indefinite lengths
- B22D11/04—Continuous casting of metals, i.e. casting in indefinite lengths into open-ended moulds
- B22D11/057—Manufacturing or calibrating the moulds
-
- 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
- B22D11/10—Supplying or treating molten metal
- B22D11/11—Treating the molten metal
- B22D11/114—Treating the molten metal by using agitating or vibrating means
- B22D11/115—Treating the molten metal by using agitating or vibrating means by using magnetic fields
-
- 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
- B22D11/20—Controlling or regulating processes or operations for removing cast stock
- B22D11/201—Controlling or regulating processes or operations for removing cast stock responsive to molten metal level or slag level
- B22D11/202—Controlling or regulating processes or operations for removing cast stock responsive to molten metal level or slag level by measuring temperature
Definitions
- the present invention relates to a technique of estimating fluidity of molten steel in a casting mold with a view to the quality improvement of a cast piece manufactured in a continuous casting machine.
- molten steel is continuously poured from a tundish into a casting mold in which water-cooled tubes are buried, cooled in the casting mold, and is drawn out from the lower part of the casting mold.
- the opening degree of a nozzle is adjusted depending on a drawing-out speed.
- drift in which a discharge flow from each of right-and-left discharge openings becomes nonuniform, occurs.
- Each steel manufacturer has introduced, in order to decrease such instability, a flow control device that applies a braking force to the molten steel by applying a magnetic field from the outside of the casting mold. Furthermore, in order to remove inclusions and bubbles that are trapped on a surface of a solidified shell, a flow control device has been increasingly introduced that applies a dynamic magnetic field to the molten steel to apply a stirring force thereto.
- Patent Literatures 2 to 4 describe a technique that estimates the fluidity of the molten steel by performing conversion based on temperatures of the molten steel that are measured by using thermocouples buried in the casting mold.
- EP 1 166 921 A1 discloses a method for controlling flow pattern of molten steel in continuous casting, comprising the steps of: (a) continuously casting a molten steel injected through an immersion nozzle; (b) measuring temperatures of a copper plate on longer side of the mold in width direction thereof at plurality of points; (c) detecting a flow pattern of the molten steel in the mold based on the time-sequential variations of temperatures of the copper plate at individual measurement points; and (d) controlling the flow pattern to establish a specified pattern on the basis of the detected result.
- the temperatures of mold copper plate are measured by plurality of temperature measurement elements buried in the rear face of the mold copper plate for continuous casting. The temperature measurement elements are arranged in a range of from 10 to 135 mm distant from the melt surface in the mold in the slab-drawing direction.
- Patent Literatures 2 to 4 the technique that estimates the fluidity of the molten steel from the temperature of the molten steel can be applied only in the case of a solidification interface in the vicinity of the casting mold and hence, it is impossible to estimate the fluidity of the molten steel in three dimensions in the whole casting mold.
- the present invention has been made to overcome such problems, and it is an object of the present invention to provide a molten steel fluidity estimation method and a fluidity estimation device in which fluidity of molten steel can be estimated online in three dimensions in the whole casting mold.
- a molten steel fluidity estimation method estimates fluidity of molten steel in a casting mold of a continuous casting machine, and includes: an error calculating step of calculating, at positions of respective sensors arranged in the casting mold, an error between distribution of physical quantities measured by the respective sensors and distribution of physical quantities calculated by using a physical model; an external force applying step of applying an external force in a vicinity of a discharge opening of a nozzle configured to discharge the molten steel into the casting mold; and an estimating step of estimating fluidity by calculating the fluidity in a state in which the external force adjusted to compensate the error is applied.
- the estimating step includes: a perturbation calculating step of calculating a difference between fluidity in a state in which the external force is applied and fluidity in a steady state in which the external force is not applied, as perturbation of the fluidity due to the external force; a correction term calculating step of calculating a correction term by adjusting the external force and the perturbation of the fluidity so that the error is compensated; and a fluidity calculating step of calculating the fluidity by superposing the correction term on the fluidity in the steady state.
- the perturbation calculating step calculates, corresponding to each type of the external force, a difference between the distribution of the physical quantities in the state in which the external force is applied and the distribution of the physical quantities in the steady state in which the external force is not applied, and calculates a degree of influence of each type of the external force compensating the error by performing linear regression analyses of the difference and the error
- the correction term calculating step calculates a correction term compensating the error based on the degree of influence and the difference between the fluidity calculated corresponding to each type of external force in the state in which the external force is applied and the fluidity in the steady state in which the external force is not applied.
- the senor is a thermocouple
- the physical quantities represent a temperature of the molten steel at the position in which the thermocouple is arranged.
- a molten steel fluidity estimation device is adapted to estimate fluidity of molten steel in a casting mold of a continuous casting machine, and includes: an error calculation unit configured to calculate, at positions of respective sensors arranged in the casting mold, an error between distribution of physical quantities measured by the respective sensors and distribution of the physical quantities calculated by using a physical model; an external-force application unit configured to apply an external force in a vicinity of a discharge opening of a nozzle configured to discharge the molten steel into the casting mold; and an estimation unit configured to calculate fluidity in a state in which the external force adjusted to compensate the error is applied.
- fluidity of molten steel can be estimated online in three dimensions in the whole casting mold.
- FIG. 1 in a continuous casting machines 1, a casting mold 4 is arranged below a tundish 3 filled with molten steel 2 in the vertical direction, and a nozzle 5 that is a feed opening for feeding the molten steel 2 to the casting mold 4 is arranged on the bottom of the tundish 3.
- the molten steel 2 is continuously poured into the casting mold 4 from the tundish 3, cooled by the casting mold 4 in which water-cooled tubes are buried, and drawn out from the lower part of the casting mold 4 thus forming a slab.
- the opening degree of the nozzle 5 is adjusted depending on a drawing-out speed.
- thermocouples 41 are arranged on a face F and a face B, the face F and the face B constituting both ends of the slab to be cast in the thickness direction thereof (the vertical direction on the paper on which FIG. 2 is drawn).
- Each thermocouple 41 measures a temperature of the molten steel 2 at the position at which the thermocouple 41 is arranged.
- the thermocouples 41 are buried on each face so as to be arranged in 7 rows in the height direction and in 16 columns in the width direction.
- the casting mold 4 includes therein a coil (not illustrated in the drawings) used for generating a stirrer magnetic field that rotates the surface of molten steel.
- the fluidity of the molten steel 2 is calculated using a turbulence model.
- operational conditions such as a casting speed, a width and thickness of the slab, and a coil current of the stirrer magnetic field are input conditions
- the fluidity (flow speed distribution) of the molten steel 2 is calculated using a standard k- ⁇ model of the turbulence model. In this case, boundary conditions are specified as illustrated in FIG. 3 .
- FIG. 4 and FIG. 5 are views each illustrating, as an example, fluidity of the molten steel 2 that is calculated in this manner.
- FIG. 4 is a view illustrating, as an example, flow speed distribution of the molten steel 2 in the cross section at the center in the thickness direction of the slab to be cast.
- FIG. 5 is a view illustrating, as an example, flow speed distribution of the molten steel 2 in the vicinity of the casting mold 4 in the thickness direction of the slab to be cast.
- a heat transfer coefficient between the molten steel 2 and a solidified shell varies depending on the flow speed of a solidification interface, and is reflected in change of the temperature of the casting mold 4 at the position of the thermocouple 41 (see Patent Literature 4). Accordingly, in the present embodiment, the fluidity of the molten steel 2 is calculated using the turbulence model, and converted into temperature distribution thus obtaining the temperature distribution. To be more specific, the temperature-flow speed conversion rule described in Patent Literature 4 is reversely used.
- FIG. 6 is a view illustrating, as an example, temperature distribution of the molten steel 2 that is calculated in this manner. In FIG.
- the axis of ordinate and the axis of abscissa correspond to each row position of the thermocouples arranged in 7 rows and each column position of the thermocouples arranged in 16 columns that are illustrated in FIG. 2 , respectively. That is, the axis of ordinate indicates the row numbers 1 to 7 of the thermocouples from the bottom, and the axis of abscissa indicates the column numbers 1 to 16 of the thermocouples from the left.
- the axis of ordinate and the axis of abscissa are used in the same manner as above.
- the difference between the temperature distribution T calc calculated by the physical model mentioned above and the temperature distribution T act measured using the thermocouples 41 can be attributed mainly to the changes in the shape of the nozzle 5, such as clogging due to deposits, (boundary conditions in the vicinity of the nozzle 5).
- the molten steel 2 discharged from the nozzle 5 moves in accordance with the equation of motion of fluidity. Accordingly, in the present embodiment, since the change in the shape of the nozzle 5 is simply expressed without using a fixed wall, an external force that causes the perturbation of fluidity is applied in the vicinity of the discharge opening of the nozzle 5 thus compensating the error on the physical model.
- a horizontal external force Fx (Fx (left), Fx (right)) and a vertical external force Fy (Fy (left), Fy (right)) are applied in the vicinities of respective right-and-left discharge openings 51 of the nozzle 5 depending on the degree of influence of each of the horizontal external force Fx and the vertical external force Fy.
- fluidity of the molten steel 2 is referred to as "U i ", the fluidity being calculated using the physical model in a state that each external force is applied.
- the suffix i means the identification information of the type of the external force to be applied, and takes an integer from 1 to 4.
- temperature distribution of the molten steel 2 that is calculated using the physical model in a state that the external force is applied is referred to as “T i ".
- a difference between fluidity U i of the molten steel 2 that is calculated using the physical model in a state that the external force is applied, and fluidity of molten steel 2 that is calculated using the physical model in the steady state in which the external force is not applied (hereinafter, referred to as "U calc ”) is referred to as “ ⁇ U i ".
- U calc fluidity of molten steel 2 that is calculated using the physical model in the steady state in which the external force is not applied
- ⁇ T i a difference between temperature distribution T i of the molten steel 2 that is calculated using the physical model in a state in which the external force is applied and temperature distribution T calc of the molten steel 2 that is calculated using the physical model in the steady state.
- FIG. 9 is a block diagram illustrating the constitution of the molten steel fluidity estimation device according to one embodiment of the present invention.
- a fluidity estimation device 100 of molten steel according to one embodiment of the present invention is provided with an information processing unit 101, an input unit 102, and an output unit 103.
- the information processing unit 101 is constituted of a general-purpose information processing unit, such as a personal computer or a workstation, and provided with a RAM 111, a ROM 112, and a CPU 113.
- the RAM 111 temporarily stores a control program and control data with respect to processing executed by the CPU 113, and functions as a working area for the CPU 113.
- the ROM 112 stores an estimation program 112a that executes fluidity estimation processing of molten steel according to one embodiment of the present invention, a control program that controls overall operation of the information processing unit 101, and control data.
- the CPU 113 controls overall operation of the information processing unit 101 in accordance with the estimation program 112a and the control program that are stored in the ROM 112. To be more specific, the CPU113 calculates, as described later, fluidity based on input operation information and a known physical model, and converts the fluidity calculated into temperature distribution thus obtaining the temperature distribution. Furthermore, the CPU 113 analyzes a difference between the calculated temperature distribution and the temperature distribution measured by using the thermocouples 41 buried in the casting mold 4 thus estimating the fluidity of the molten steel 2.
- the input unit 102 is constituted of input units, such as a keyboard, a mouse pointer, and a numeric keypad, and operated in inputting the various kinds of information to the information processing unit 101.
- the output unit 103 is constituted of output units, such as a display and a printer, and outputs various kinds of processing information from the information processing unit 101.
- FIG. 10 is the flowchart illustrating the flow of the fluidity estimation processing of the molten steel according to one embodiment of the present invention.
- the flowchart illustrated in FIG. 10 is started at a timing where an operator has operated the input unit 102 to instruct the information processing unit 101 to execute the fluidity estimation processing, and the fluidity estimation processing advances to S1.
- the fluidity estimation processing mentioned below is achieved by the fact that the CPU 113 executes the estimation program 112a stored in the ROM 112.
- the CPU 113 uses the operation information acquired from an outside DB (not illustrated in the drawings) as an input condition, and the turbulence model to calculate the fluidity U calc and the temperature distribution T calc of the molten steel 2 in the steady state. Then, the processing of S1 is completed, and the fluidity estimation processing advances to S2.
- the CPU 113 calculates, using the turbulence model, the fluidity U i and the temperature distribution T i of the molten steel 2 in a state in which the above-mentioned external force is applied in the vicinity of the discharge opening 51 of the nozzle 5. Then, the processing of S2 is completed, and the fluidity estimation processing advances to S3.
- FIG. 11A to FIG. 12B are views each illustrating, as an example, fluidity and temperature distribution of the molten steel 2, the fluidity and temperature distribution being calculated in a state in which the external force is applied.
- FIG. 11B illustrates temperature distribution T 1 of the molten steel 2 that is calculated in the same manner as the case above.
- FIG. 11B illustrates temperature distribution T 1 of the molten steel 2 that is calculated in the same manner as the case above.
- FIG. 11A illustrates fluidity U 1 of the molten steel 2 that is calculated in a
- FIG. 12B illustrates temperature distribution T 2 of the molten steel 2 that is calculated in the same manner as the case above.
- the CPU 113 performs a sensitivity analysis. That is, in terms of the fluidity of the molten steel 2, the CPU 113 calculates a difference ⁇ U i between the fluidity U i calculated in a state in which the external force is applied and the fluidity U calc calculated in the steady state. Furthermore, in terms of the temperature distribution of the molten steel 2, the CPU 113 calculates a difference ⁇ T i between temperature distribution T i calculated in a state in which the external force is applied, and temperature distribution T calc calculated in the steady state.
- ⁇ U i and ⁇ T i mean the fluidity and the temperature distribution that are affected by the external force; that is, the fluidity and the temperature distribution in a state in which the external force is applied, respectively. Then, the processing of S3 is completed, and the fluidity estimation processing advances to S4.
- FIG. 13A to FIG. 14B are views illustrating, as examples, ⁇ U i and ⁇ T i that are calculated, respectively.
- FIG. 13B illustrates ⁇ T 1 in the same state as above.
- FIG. 14B illustrates ⁇ T 2 in the same state as above.
- the CPU 113 compares temperature distribution T act of the molten steel 2 that is measured by using the thermocouples 41, with temperature distribution T calc of the molten steel 2 that is calculated in the steady state, and calculates an error between the temperature distribution T act and the temperature distribution T calc . Then, the processing of S4 is completed, and the fluidity estimation processing advances to S5.
- the CPU 113 performs a linear regression analysis of the error calculated in the processing of S4 depending on ⁇ T i , which is a result of the sensitivity analysis, calculated in the processing of S3.
- the CPU 113 performs, as illustrated in the following expressions (3) to (7), the linear regression analysis of the error between T act and T calc depending on a total of nine bases (regression variables) including four bases corresponding to the respective four types of external forces, and five bias-correction-use bases corresponding to the respective five rows in which the thermocouples 41 are arranged.
- thermocouples 41 out of seven rows of the thermocouples 41 are used for the fluidity estimation processing.
- a certain bias is on both the face F and the face B that is not influenced by the external force
- five bases are provided corresponding to the respective bias corrections for five rows.
- the number of lines of a bias matrix B illustrated in the above-mentioned expressions (4) and (6) is the total number of the thermocouples 41 arranged in five rows (sum total of the thermocouples 41 arranged in the face F and the face B), and the number of columns of the bias matrix B is five, which corresponds to the respective five rows of the thermocouples 41.
- the number of elements of a vector 1 illustrated in the above-mentioned expressions (6) and (7) is the number of the thermocouples 41 arranged in each row (sum total of the thermocouples 41 arranged in the face F and the face B). Then, the processing of S5 is completed, and the fluidity estimation processing advances to S6.
- FIG. 15A is a view illustrating a time transition of the external force Fx (defined as positive in the outward direction) applied to each of the right-and-left discharge openings 51 of the nozzle 5 in the horizontal direction.
- FIG. 15B is a view illustrating a time transition of the external force Fy (defined as positive in the downward direction) applied to each of the right-and-left discharge openings 51 of the nozzle 5 in the vertical direction.
- FIG. 16A to FIG. 18B are views each illustrating the relation among the measured (observed) temperature distribution T act , the temperature distribution T calc calculated in a steady state before being corrected, and the temperature distribution T est after being corrected by applying the external force.
- the CPU 113 superposes a correction term U correct obtained by multiplying the element of the vector w' indicating a regression coefficient by the difference ⁇ U i of the above-mentioned fluidity on the fluidity U calc in the steady state thus calculating (estimating) the fluidity U est of the molten steel 2 after being corrected.
- a correction term U correct obtained by multiplying the element of the vector w' indicating a regression coefficient by the difference ⁇ U i of the above-mentioned fluidity on the fluidity U calc in the steady state thus calculating (estimating) the fluidity U est of the molten steel 2 after being corrected.
- the CPU 113 estimates the fluidity U est of the molten steel 2 after being corrected, by calculating the following expressions (8) and (9). Then, the processing of S6 is completed, and a series of fluidity estimation processes are terminated.
- TM ( AU , AU 2 AU , AU > ′ correct IU . + U , correct
- FIG. 19A is a view illustrating, as an example, the fluidity Ucaic before being corrected in the steady state.
- FIG. 19B is a view illustrating, as an example, fluidity (after being corrected) estimated by the fluidity estimation processing of the present embodiment.
- the CPU 113 analyzes the difference between temperature distribution calculated based on a physical model and observed temperature distribution to correct the fluidity calculated based on the physical model. Accordingly, the fluidity calculated based on the physical model is corrected with the law of conservation of mass satisfied, and thus, while excellent physical consistency is being maintained, fluidity is estimated online in three dimensions for the whole casting mold 4.
- the molten steel fluidity estimation method and the fluidity estimation device according to the present invention are capable of estimating online the fluidity of the molten steel in three dimensions for the whole casting mold thus being applicable to the continuous casting process in the continuous casting machine.
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Continuous Casting (AREA)
Description
- The present invention relates to a technique of estimating fluidity of molten steel in a casting mold with a view to the quality improvement of a cast piece manufactured in a continuous casting machine.
- In a continuous casting machine, molten steel is continuously poured from a tundish into a casting mold in which water-cooled tubes are buried, cooled in the casting mold, and is drawn out from the lower part of the casting mold. In this case, in order to secure a mass balance, the opening degree of a nozzle is adjusted depending on a drawing-out speed. In particular, when performing highspeed casting in the continuous casting machine having such structure, the spouting flow of the molten steel from the discharge opening of the nozzle is easily destabilized and hence, there exists the case that the phenomenon called drift, in which a discharge flow from each of right-and-left discharge openings becomes nonuniform, occurs. Each steel manufacturer has introduced, in order to decrease such instability, a flow control device that applies a braking force to the molten steel by applying a magnetic field from the outside of the casting mold. Furthermore, in order to remove inclusions and bubbles that are trapped on a surface of a solidified shell, a flow control device has been increasingly introduced that applies a dynamic magnetic field to the molten steel to apply a stirring force thereto.
- Conventionally, in order to design such molten-steel flow control device, as described in
Patent Literature 1, for example, analyses of fluidity have been performed with water model experiments or numerical computations. However, according to the technique described inPatent Literature 1, the comparison of fluidity between analysis results of model calculations and actual phenomena is performed only by using data at several points in a steady operation. On the other hand, in actual equipment, there exist various disturbances, such as the clogging of the nozzle, turbulence of argon gas, and unstable boundary conditions depending on the opening of the nozzle. The online estimation and control of the fluidity of the molten steel in consideration of the effect of such disturbances can lead to achieving the quality improvement of a product. - Under such circumstances, a technique has been developed that estimates the fluidity of the molten steel online. For example,
Patent Literatures 2 to 4 describe a technique that estimates the fluidity of the molten steel by performing conversion based on temperatures of the molten steel that are measured by using thermocouples buried in the casting mold. -
EP 1 166 921 A1
(a) continuously casting a molten steel injected through an immersion nozzle; (b) measuring temperatures of a copper plate on longer side of the mold in width direction thereof at plurality of points; (c) detecting a flow pattern of the molten steel in the mold based on the time-sequential variations of temperatures of the copper plate at individual measurement points; and (d) controlling the flow pattern to establish a specified pattern on the basis of the detected result. The temperatures of mold copper plate are measured by plurality of temperature measurement elements buried in the rear face of the mold copper plate for continuous casting. The temperature measurement elements are arranged in a range of from 10 to 135 mm distant from the melt surface in the mold in the slab-drawing direction. -
- Patent Literature 1: Japanese Patent Application Laid-open No.
10-5957 - Patent Literature 2: Japanese Patent Application Laid-open No.
2003-1386 - Patent Literature 3: Japanese Patent Application Laid-open No.
2003-181609 - Patent Literature 4: Japanese Patent No.
3386051 - However, as described in
Patent Literatures 2 to 4, the technique that estimates the fluidity of the molten steel from the temperature of the molten steel can be applied only in the case of a solidification interface in the vicinity of the casting mold and hence, it is impossible to estimate the fluidity of the molten steel in three dimensions in the whole casting mold. - The present invention has been made to overcome such problems, and it is an object of the present invention to provide a molten steel fluidity estimation method and a fluidity estimation device in which fluidity of molten steel can be estimated online in three dimensions in the whole casting mold.
- To solve the above-described problem and achieve the object, a molten steel fluidity estimation method according to the present invention estimates fluidity of molten steel in a casting mold of a continuous casting machine, and includes: an error calculating step of calculating, at positions of respective sensors arranged in the casting mold, an error between distribution of physical quantities measured by the respective sensors and distribution of physical quantities calculated by using a physical model; an external force applying step of applying an external force in a vicinity of a discharge opening of a nozzle configured to discharge the molten steel into the casting mold; and an estimating step of estimating fluidity by calculating the fluidity in a state in which the external force adjusted to compensate the error is applied.
- Moreover, in the above-described molten steel fluidity estimation method according to the present invention, the estimating step includes: a perturbation calculating step of calculating a difference between fluidity in a state in which the external force is applied and fluidity in a steady state in which the external force is not applied, as perturbation of the fluidity due to the external force; a correction term calculating step of calculating a correction term by adjusting the external force and the perturbation of the fluidity so that the error is compensated; and a fluidity calculating step of calculating the fluidity by superposing the correction term on the fluidity in the steady state.
- Moreover, in the above-described molten steel fluidity estimation method according to the present invention, at the external force applying step, the external force is applied in the vicinity of the discharge opening of the nozzle, with a plurality of types of external forces as bases, the external forces being combined with each other depending on a degree of influence of each external force, the perturbation calculating step calculates, corresponding to each type of the external force, a difference between the distribution of the physical quantities in the state in which the external force is applied and the distribution of the physical quantities in the steady state in which the external force is not applied, and calculates a degree of influence of each type of the external force compensating the error by performing linear regression analyses of the difference and the error, and the correction term calculating step calculates a correction term compensating the error based on the degree of influence and the difference between the fluidity calculated corresponding to each type of external force in the state in which the external force is applied and the fluidity in the steady state in which the external force is not applied.
- Moreover, in the above-described molten steel fluidity estimation method according to the present invention, the sensor is a thermocouple, and the physical quantities represent a temperature of the molten steel at the position in which the thermocouple is arranged.
- To solve the above-described problem and achieve the object, a molten steel fluidity estimation device according to the present invention is adapted to estimate fluidity of molten steel in a casting mold of a continuous casting machine, and includes: an error calculation unit configured to calculate, at positions of respective sensors arranged in the casting mold, an error between distribution of physical quantities measured by the respective sensors and distribution of the physical quantities calculated by using a physical model; an external-force application unit configured to apply an external force in a vicinity of a discharge opening of a nozzle configured to discharge the molten steel into the casting mold; and an estimation unit configured to calculate fluidity in a state in which the external force adjusted to compensate the error is applied. Advantageous Effects of Invention
- With the molten steel fluidity estimation method and the fluidity estimation device according to the present invention, fluidity of molten steel can be estimated online in three dimensions in the whole casting mold.
-
-
FIG. 1 is a schematic view illustrating one constitutional example of a continuous casting machine to which the present invention is applied. -
FIG. 2 is a view illustrating arrangement positions of respective thermocouples in a casting mold, as an example. -
FIG. 3 is a view illustrating boundary conditions in applying a turbulence model, as an example. -
FIG. 4 is a view illustrating, as an example, fluidity of molten steel in the cross section at the center in the thickness direction of a slab, the fluidity being calculated using the turbulence model. -
FIG. 5 is a view illustrating, as an example, fluidity of the molten steel in the vicinity of the casting mold in the thickness direction of the slab, the fluidity being calculated using the turbulence model. -
FIG. 6 is a view illustrating, as an example, a temperature distribution in the molten steel, the temperature distribution being converted from the fluidity of the molten steel that is calculated using the turbulence model. -
FIG. 7 is an explanatory view for explaining procedures of comparing a temperature measured by using the thermocouple with a temperature calculated using the turbulence model. -
FIG. 8 is a view illustrating external forces applied in the vicinity of a discharge opening of a nozzle. -
FIG. 9 is a block diagram illustrating a configuration of a fluidity estimation device according to one embodiment of the present invention. -
FIG. 10 is a flowchart illustrating a flow of fluidity estimation processing according to one embodiment of the present invention. -
FIG. 11A is a view illustrating, as an example, fluidity of molten steel that is calculated in a state that the external force is applied only to a left discharge opening of the nozzle in the horizontal direction. -
FIG. 11B is a view illustrating, as an example, temperature distribution in the molten steel, the temperature distribution being calculated in a state that the external force is applied only to the left discharge opening of the nozzle in the horizontal direction. -
FIG. 12A is a view illustrating, as an example, fluidity of molten steel that is calculated in a state that the external force is applied only to a right discharge opening of the nozzle in the horizontal direction. -
FIG. 12B is a view illustrating, as an example, temperature distribution in the molten steel, the temperature distribution being calculated in a state that the external force is applied only to the right discharge opening of the nozzle in the horizontal direction. -
FIG. 13A is a view illustrating, as an example, a difference between the fluidity of the molten steel in a state that the external force is applied only to the left discharge opening of the nozzle in the horizontal direction, and fluidity of molten steel in a steady state. -
FIG. 13B is a view illustrating, as an example, a difference between the temperature distribution in the molten steel in a state that the external force is applied only to the left discharge opening of the nozzle in the horizontal direction, and temperature distribution in the molten steel in the steady state. -
FIG. 14A is a view illustrating, as an example, a difference between the fluidity of the molten steel in a state that the external force is applied only to the right discharge opening of the nozzle in the horizontal direction, and the fluidity of the molten steel in the steady state. -
FIG. 14B is a view illustrating, as an example, a difference between the temperature distribution in the molten steel in a state that the external force is applied only to the right discharge opening of the nozzle in the horizontal direction, and the temperature distribution in the molten steel in the steady state. -
FIG. 15A is a view illustrating a time transition of the external force that compensates an error between the measured temperature distribution and the temperature distribution calculated in the steady state, in the horizontal direction. -
FIG. 15B is a view illustrating a time transition of the external force that compensates the error between the measured temperature distribution and the temperature distribution calculated in the steady state, in the vertical direction. -
FIG. 16A is a view illustrating a relation among measured temperature distribution, uncorrected temperature distribution calculated in the steady state, and corrected temperature distribution in a state that the external force is applied. -
FIG. 16B is a view illustrating a relation among measured temperature distribution, uncorrected temperature distribution calculated in the steady state, and corrected temperature distribution in a state that the external force is applied. -
FIG. 17A is a view illustrating a relation among measured temperature distribution, uncorrected temperature distribution calculated in the steady state, and corrected temperature distribution in a state that an external force is applied. -
FIG. 17B is a view illustrating a relation among measured temperature distribution, uncorrected temperature distribution calculated in a steady state, and corrected temperature distribution in a state that the external force is applied. -
FIG. 18A is a view illustrating a relation among measured temperature distribution, uncorrected temperature distribution calculated in the steady state, and corrected temperature distribution in a state that the external force is applied. -
FIG. 18B is a view illustrating a relation among measured temperature distribution, uncorrected temperature distribution calculated in the steady state, and corrected temperature distribution in a state that the external force is applied. -
FIG. 19A is a view illustrating, as an example, uncorrected fluidity of molten steel that is calculated in the steady state. -
FIG. 19B is a view illustrating, as an example, fluidity of molten steel that is estimated by the correction of applying the external force. - Hereinafter, with reference to drawings, fluidity estimation processing performed by a molten steel fluidity estimation device according to one embodiment of the present invention is explained.
- First of all, with reference to
FIG. 1 , one constitutional example of the continuous casting machine to which the present invention is applied is explained. As illustrated inFIG. 1 , in acontinuous casting machines 1, a castingmold 4 is arranged below atundish 3 filled withmolten steel 2 in the vertical direction, and anozzle 5 that is a feed opening for feeding themolten steel 2 to the castingmold 4 is arranged on the bottom of thetundish 3. Themolten steel 2 is continuously poured into the castingmold 4 from thetundish 3, cooled by the castingmold 4 in which water-cooled tubes are buried, and drawn out from the lower part of the castingmold 4 thus forming a slab. In this case, in order to secure a mass balance, the opening degree of thenozzle 5 is adjusted depending on a drawing-out speed. - For the casting
mold 4, as illustrated inFIG. 2 , a plurality ofthermocouples 41 are arranged on a face F and a face B, the face F and the face B constituting both ends of the slab to be cast in the thickness direction thereof (the vertical direction on the paper on whichFIG. 2 is drawn). Eachthermocouple 41 measures a temperature of themolten steel 2 at the position at which thethermocouple 41 is arranged. In the present embodiment, thethermocouples 41 are buried on each face so as to be arranged in 7 rows in the height direction and in 16 columns in the width direction. Furthermore, the castingmold 4 includes therein a coil (not illustrated in the drawings) used for generating a stirrer magnetic field that rotates the surface of molten steel. - Next, the explanation is made with respect to a physical model used for the fluidity estimation processing performed by the molten steel fluidity estimation device according to one embodiment of the present invention. In the fluidity estimation processing performed by the molten steel fluidity estimation device according to the one embodiment of the present invention, the fluidity of the
molten steel 2 is calculated using a turbulence model. To be more specific, assuming that operational conditions such as a casting speed, a width and thickness of the slab, and a coil current of the stirrer magnetic field are input conditions, the fluidity (flow speed distribution) of themolten steel 2 is calculated using a standard k-ε model of the turbulence model. In this case, boundary conditions are specified as illustrated inFIG. 3 . That is, in an inflow part, a flow speed corresponding to a mass flow depending on the casting speed specified is induced. In an outflow part, under a free outflow boundary condition, no gradient of each of various physical quantities is assumed to be in a flow direction. Furthermore, an inner wall of the castingmold 4 constitutes a solid wall that moves at a speed equal to the casting speed.FIG. 4 and FIG. 5 are views each illustrating, as an example, fluidity of themolten steel 2 that is calculated in this manner.FIG. 4 is a view illustrating, as an example, flow speed distribution of themolten steel 2 in the cross section at the center in the thickness direction of the slab to be cast. Furthermore,FIG. 5 is a view illustrating, as an example, flow speed distribution of themolten steel 2 in the vicinity of the castingmold 4 in the thickness direction of the slab to be cast. - A heat transfer coefficient between the
molten steel 2 and a solidified shell varies depending on the flow speed of a solidification interface, and is reflected in change of the temperature of the castingmold 4 at the position of the thermocouple 41 (see Patent Literature 4). Accordingly, in the present embodiment, the fluidity of themolten steel 2 is calculated using the turbulence model, and converted into temperature distribution thus obtaining the temperature distribution. To be more specific, the temperature-flow speed conversion rule described inPatent Literature 4 is reversely used.FIG. 6 is a view illustrating, as an example, temperature distribution of themolten steel 2 that is calculated in this manner. InFIG. 6 , the axis of ordinate and the axis of abscissa correspond to each row position of the thermocouples arranged in 7 rows and each column position of the thermocouples arranged in 16 columns that are illustrated inFIG. 2 , respectively. That is, the axis of ordinate indicates therow numbers 1 to 7 of the thermocouples from the bottom, and the axis of abscissa indicates thecolumn numbers 1 to 16 of the thermocouples from the left. Hereinafter, in illustrating temperature distribution at thermocouple positions, the axis of ordinate and the axis of abscissa are used in the same manner as above. - Next, the principle of the present invention is explained with reference to
FIG. 7 . In the present invention, as illustrated inFIG. 7 , the temperature distribution calculated by the physical model mentioned above (hereinafter, referred to as "Tcalc"), and the temperature distribution measured by using the thermocouples 41 (hereinafter, referred to as "Tact") are compared with each other. Furthermore, the error obtained as above is compensated by the fluidity estimation processing described later thus estimating fluidity of themolten steel 2. - The difference between the temperature distribution Tcalc calculated by the physical model mentioned above and the temperature distribution Tact measured using the
thermocouples 41 can be attributed mainly to the changes in the shape of thenozzle 5, such as clogging due to deposits, (boundary conditions in the vicinity of the nozzle 5). Here, it is assumed that themolten steel 2 discharged from thenozzle 5 moves in accordance with the equation of motion of fluidity. Accordingly, in the present embodiment, since the change in the shape of thenozzle 5 is simply expressed without using a fixed wall, an external force that causes the perturbation of fluidity is applied in the vicinity of the discharge opening of thenozzle 5 thus compensating the error on the physical model. To be more specific, as illustrated inFIG. 8 , a horizontal external force Fx (Fx (left), Fx (right)) and a vertical external force Fy (Fy (left), Fy (right)) are applied in the vicinities of respective right-and-leftdischarge openings 51 of thenozzle 5 depending on the degree of influence of each of the horizontal external force Fx and the vertical external force Fy. - Hereinafter, corresponding to the above-mentioned four types of external forces, fluidity of the
molten steel 2 is referred to as "Ui", the fluidity being calculated using the physical model in a state that each external force is applied. Here, the suffix i means the identification information of the type of the external force to be applied, and takes an integer from 1 to 4. In the same manner as above, temperature distribution of themolten steel 2 that is calculated using the physical model in a state that the external force is applied is referred to as "Ti". A difference between fluidity Ui of themolten steel 2 that is calculated using the physical model in a state that the external force is applied, and fluidity ofmolten steel 2 that is calculated using the physical model in the steady state in which the external force is not applied (hereinafter, referred to as "Ucalc") is referred to as "ΔUi". In the same manner as above, a difference between temperature distribution Ti of themolten steel 2 that is calculated using the physical model in a state in which the external force is applied and temperature distribution Tcalc of themolten steel 2 that is calculated using the physical model in the steady state is referred to as "ΔTi". Here, the following expressions (1) and (2) are established. - Next, with reference to
FIG. 9 , the constitution of the molten steel fluidity estimation device according to one embodiment of the present invention is explained.FIG. 9 is a block diagram illustrating the constitution of the molten steel fluidity estimation device according to one embodiment of the present invention. As illustrated inFIG. 9 , afluidity estimation device 100 of molten steel according to one embodiment of the present invention is provided with aninformation processing unit 101, aninput unit 102, and anoutput unit 103. - The
information processing unit 101 is constituted of a general-purpose information processing unit, such as a personal computer or a workstation, and provided with aRAM 111, aROM 112, and aCPU 113. TheRAM 111 temporarily stores a control program and control data with respect to processing executed by theCPU 113, and functions as a working area for theCPU 113. - The
ROM 112 stores anestimation program 112a that executes fluidity estimation processing of molten steel according to one embodiment of the present invention, a control program that controls overall operation of theinformation processing unit 101, and control data. TheCPU 113 controls overall operation of theinformation processing unit 101 in accordance with theestimation program 112a and the control program that are stored in theROM 112. To be more specific, the CPU113 calculates, as described later, fluidity based on input operation information and a known physical model, and converts the fluidity calculated into temperature distribution thus obtaining the temperature distribution. Furthermore, theCPU 113 analyzes a difference between the calculated temperature distribution and the temperature distribution measured by using thethermocouples 41 buried in the castingmold 4 thus estimating the fluidity of themolten steel 2. - The
input unit 102 is constituted of input units, such as a keyboard, a mouse pointer, and a numeric keypad, and operated in inputting the various kinds of information to theinformation processing unit 101. Theoutput unit 103 is constituted of output units, such as a display and a printer, and outputs various kinds of processing information from theinformation processing unit 101. - Next, with reference to the flowchart illustrated in
FIG. 10 , a flow of fluidity estimation processing of molten steel according to one embodiment of the present invention is explained.FIG. 10 is the flowchart illustrating the flow of the fluidity estimation processing of the molten steel according to one embodiment of the present invention. The flowchart illustrated inFIG. 10 is started at a timing where an operator has operated theinput unit 102 to instruct theinformation processing unit 101 to execute the fluidity estimation processing, and the fluidity estimation processing advances to S1. Here, the fluidity estimation processing mentioned below is achieved by the fact that theCPU 113 executes theestimation program 112a stored in theROM 112. - In the processing of S1, the
CPU 113 uses the operation information acquired from an outside DB (not illustrated in the drawings) as an input condition, and the turbulence model to calculate the fluidity Ucalc and the temperature distribution Tcalc of themolten steel 2 in the steady state. Then, the processing of S1 is completed, and the fluidity estimation processing advances to S2. - In the processing of S2, the
CPU 113 calculates, using the turbulence model, the fluidity Ui and the temperature distribution Ti of themolten steel 2 in a state in which the above-mentioned external force is applied in the vicinity of the discharge opening 51 of thenozzle 5. Then, the processing of S2 is completed, and the fluidity estimation processing advances to S3. -
FIG. 11A to FIG. 12B are views each illustrating, as an example, fluidity and temperature distribution of themolten steel 2, the fluidity and temperature distribution being calculated in a state in which the external force is applied.FIG. 11A illustrates fluidity U1 of themolten steel 2 that is calculated in a state in which Fx (left) (i= 1, for example) is applied only to the left discharge opening 51 of thenozzle 5 in the horizontal direction, andFIG. 11B illustrates temperature distribution T1 of themolten steel 2 that is calculated in the same manner as the case above. Furthermore,FIG. 12A illustrates fluidity U2 of themolten steel 2 that is calculated in a state in which Fx (right) (i= 2, for example) is applied only to the right discharge opening 51 of thenozzle 5 in the horizontal direction, andFIG. 12B illustrates temperature distribution T2 of themolten steel 2 that is calculated in the same manner as the case above. - In the processing of S3, the
CPU 113 performs a sensitivity analysis. That is, in terms of the fluidity of themolten steel 2, theCPU 113 calculates a difference ΔUi between the fluidity Ui calculated in a state in which the external force is applied and the fluidity Ucalc calculated in the steady state. Furthermore, in terms of the temperature distribution of themolten steel 2, theCPU 113 calculates a difference ΔTi between temperature distribution Ti calculated in a state in which the external force is applied, and temperature distribution Tcalc calculated in the steady state. Here, ΔUi and ΔTi that are calculated mean the fluidity and the temperature distribution that are affected by the external force; that is, the fluidity and the temperature distribution in a state in which the external force is applied, respectively. Then, the processing of S3 is completed, and the fluidity estimation processing advances to S4. -
FIG. 13A to FIG. 14B are views illustrating, as examples, ΔUi and ΔTi that are calculated, respectively.FIG. 13A illustrates ΔU1 in a state in which Fx (left) (i= 1, for example) is applied only to the left discharge opening 51 of thenozzle 5 in the horizontal direction, andFIG. 13B illustrates ΔT1 in the same state as above. Furthermore,FIG. 14A illustrates ΔU2 in a state in which Fx (right) (i= 2, for example) is applied only to the right discharge opening 51 of thenozzle 5 in the horizontal direction, andFIG. 14B illustrates ΔT2 in the same state as above. - In the processing of S4, the
CPU 113 compares temperature distribution Tact of themolten steel 2 that is measured by using thethermocouples 41, with temperature distribution Tcalc of themolten steel 2 that is calculated in the steady state, and calculates an error between the temperature distribution Tact and the temperature distribution Tcalc. Then, the processing of S4 is completed, and the fluidity estimation processing advances to S5. - In the processing of S5, the
CPU 113 performs a linear regression analysis of the error calculated in the processing of S4 depending on ΔTi, which is a result of the sensitivity analysis, calculated in the processing of S3. To be more specific, theCPU 113 performs, as illustrated in the following expressions (3) to (7), the linear regression analysis of the error between Tact and Tcalc depending on a total of nine bases (regression variables) including four bases corresponding to the respective four types of external forces, and five bias-correction-use bases corresponding to the respective five rows in which thethermocouples 41 are arranged. - Here, measurement values corresponding to the respective five rows of the
thermocouples 41 out of seven rows of thethermocouples 41 are used for the fluidity estimation processing. Assuming that, with respect to each of the five rows of thethermocouples 41 to be used, a certain bias is on both the face F and the face B that is not influenced by the external force, five bases are provided corresponding to the respective bias corrections for five rows. The number of lines of a bias matrix B illustrated in the above-mentioned expressions (4) and (6) is the total number of thethermocouples 41 arranged in five rows (sum total of thethermocouples 41 arranged in the face F and the face B), and the number of columns of the bias matrix B is five, which corresponds to the respective five rows of thethermocouples 41. Furthermore, the number of elements of avector 1 illustrated in the above-mentioned expressions (6) and (7) is the number of thethermocouples 41 arranged in each row (sum total of thethermocouples 41 arranged in the face F and the face B). Then, the processing of S5 is completed, and the fluidity estimation processing advances to S6. - Each element of a vector w', which is composed of only the first to fourth elements corresponding to the respective bases of four external forces out of regression coefficient vectors w to be obtained here, may indicate the degree of influence of each of the above-mentioned four types of external forces in terms of an external force that compensates the error. Accordingly, the external force that compensates the error can be obtained from the vector w'.
FIG. 15A is a view illustrating a time transition of the external force Fx (defined as positive in the outward direction) applied to each of the right-and-leftdischarge openings 51 of thenozzle 5 in the horizontal direction.FIG. 15B is a view illustrating a time transition of the external force Fy (defined as positive in the downward direction) applied to each of the right-and-leftdischarge openings 51 of thenozzle 5 in the vertical direction. - Furthermore, a correction term Tcorrect obtained by multiplying the element of the vector w' by the difference ΔTi of the above-mentioned temperature distribution is superposed on the temperature distribution Tcalc in the steady state thus calculating a temperature distribution Test corrected by applying the external force (the error is compensated).
FIG. 16A to FIG. 18B are views each illustrating the relation among the measured (observed) temperature distribution Tact, the temperature distribution Tcalc calculated in a steady state before being corrected, and the temperature distribution Test after being corrected by applying the external force. Each pair ofFIG. 16A and FIG. 16B ,FIG. 17A and FIG. 17B , andFIG. 18A and FIG. 18B illustrates temperature distribution at positions of thethermocouples 41 buried in a different face (face F or face B) in the same row. It is understood that the temperature distribution Test after being corrected by applying the external force follows the difference between the respective temperature distributions Tcalc observed in the face F and the face B, each of which is incapable of being expressed in terms of the temperature distribution Tcalc before being corrected. - In the processing of S6, the
CPU 113 superposes a correction term Ucorrect obtained by multiplying the element of the vector w' indicating a regression coefficient by the difference ΔUi of the above-mentioned fluidity on the fluidity Ucalc in the steady state thus calculating (estimating) the fluidity Uest of themolten steel 2 after being corrected. Here, both the fluidity Ucalc in the steady state and the fluidity Ui in a state in which the external force is applied satisfy a continuous turbulence model formula and hence, the difference ΔUi therebetween also satisfies the continuous turbulence model formula. Accordingly, even when the correction term Ucorrect is added to the fluidity Ucalc in the steady state, the law of conservation of mass is satisfied, and thus the fluidity Uest after being corrected can be estimated. To be more specific, theCPU 113 estimates the fluidity Uest of themolten steel 2 after being corrected, by calculating the following expressions (8) and (9). Then, the processing of S6 is completed, and a series of fluidity estimation processes are terminated. -
FIG. 19A is a view illustrating, as an example, the fluidity Ucaic before being corrected in the steady state.FIG. 19B is a view illustrating, as an example, fluidity (after being corrected) estimated by the fluidity estimation processing of the present embodiment. - As explained clearly by the explanation above, in the fluidity estimation processing according to one embodiment of the present invention, the
CPU 113 analyzes the difference between temperature distribution calculated based on a physical model and observed temperature distribution to correct the fluidity calculated based on the physical model. Accordingly, the fluidity calculated based on the physical model is corrected with the law of conservation of mass satisfied, and thus, while excellent physical consistency is being maintained, fluidity is estimated online in three dimensions for thewhole casting mold 4. - Although the embodiment to which the invention made by the inventors is applied has been specifically explained in conjunction with drawings, the present invention is not limited to the above-described embodiment that merely constitutes one embodiment of the present invention.
- As described above, the molten steel fluidity estimation method and the fluidity estimation device according to the present invention are capable of estimating online the fluidity of the molten steel in three dimensions for the whole casting mold thus being applicable to the continuous casting process in the continuous casting machine.
-
- 1
- continuous casting machine
- 2
- molten steel
- 3
- tundish
- 4
- casting mold
- 41
- thermocouple
- 5
- nozzle
- 51
- discharge opening
- 100
- fluidity estimation device
- 101
- information processing unit
- 102
- input unit
- 103
- output unit
- 111
- RAM
- 112
- ROM
- 112a
- estimation program
- 113
- CPU
Claims (5)
- A molten steel fluidity estimation method of estimating fluidity of molten steel in a casting mold (4) of a continuous casting machine (1), the method characterized by comprising:an error calculating step of calculating, at positions of respective sensors arranged in the casting mold (4), an error between distribution of physical quantities measured by the respective sensors and distribution of physical quantities calculated by using a physical model;an external force applying step of applying an external force in a vicinity of a discharge opening (51) of a nozzle (5) configured to discharge the molten steel (2) into the casting mold (4); andan estimating step of estimating fluidity by calculating the fluidity in a state in which the external force adjusted to compensate the error is applied.
- The molten steel fluidity estimation method according to claim 1, wherein
the estimating step comprises:a perturbation calculating step of calculating a difference between fluidity in a state in which the external force is applied and fluidity in a steady state in which the external force is not applied, as perturbation of the fluidity due to the external force;a correction term calculating step of calculating a correction term by adjusting the external force and the perturbation of the fluidity so that the error is compensated; anda fluidity calculating step of calculating the fluidity by superposing the correction term on the fluidity in the steady state. - The molten steel fluidity estimation method according to claim 2, wherein
at the external force applying step, the external force is applied in the vicinity of the discharge opening of the nozzle (5), with a plurality of types of external forces as bases, the external forces being combined with each other depending on a degree of influence of each external force,
the perturbation calculating step calculates, corresponding to each type of the external force, a difference between the distribution of the physical quantities in the state in which the external force is applied and the distribution of the physical quantities in the steady state in which the external force is not applied, and calculates a degree of influence of each type of the external force compensating the error by performing linear regression analyses of the difference and the error, and
the correction term calculating step calculates a correction term compensating the error based on the degree of influence and the difference between the fluidity calculated corresponding to each type of external force in the state in which the external force is applied and the fluidity in the steady state in which the external force is not applied. - The molten steel fluidity estimation method according to any one of claims 1 to 3, wherein the sensor is a thermocouple (41), and the physical quantities represent a temperature of the molten steel (2) at the position in which the thermocouple (41) is arranged.
- A molten steel fluidity estimation device adapted to estimate fluidity of molten steel (2) in a casting mold (4) of a continuous casting machine (1), the fluidity estimation device (100) characterized by comprising:an error calculation unit configured to calculate, at positions of respective sensors arranged in the casting mold (4), an error between distribution of physical quantities
measured by the respective sensors and distribution of the physical quantities calculated by using a physical model;an external-force application unit configured to apply an external force in a vicinity of a discharge opening (51) of a nozzle (5) configured to discharge the molten steel (2) into the casting mold (4); andan estimation unit configured to calculate fluidity in a state in which the external force adjusted to compensate the error is applied.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2014139302A JP5935837B2 (en) | 2014-07-07 | 2014-07-07 | Flow state estimation method and flow state estimation apparatus for molten steel |
PCT/JP2015/069338 WO2016006559A1 (en) | 2014-07-07 | 2015-07-03 | Molten steel flow-state estimating method and flow-state estimating device |
Publications (3)
Publication Number | Publication Date |
---|---|
EP3167976A1 EP3167976A1 (en) | 2017-05-17 |
EP3167976A4 EP3167976A4 (en) | 2018-05-02 |
EP3167976B1 true EP3167976B1 (en) | 2018-10-31 |
Family
ID=55064195
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP15819360.7A Not-in-force EP3167976B1 (en) | 2014-07-07 | 2015-07-03 | Molten steel flow-state estimating method and flow-state estimating device |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP3167976B1 (en) |
JP (1) | JP5935837B2 (en) |
KR (1) | KR101993969B1 (en) |
WO (1) | WO2016006559A1 (en) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6607215B2 (en) * | 2016-03-02 | 2019-11-20 | Jfeスチール株式会社 | Flow state estimation method for molten steel, flow state estimation device, on-line display device for flow state of molten steel, and continuous casting method for steel |
JP7087746B2 (en) * | 2018-07-11 | 2022-06-21 | 日本製鉄株式会社 | Molten steel flow control device, molten steel flow control method, and program |
EP3928890B1 (en) | 2019-02-19 | 2023-12-27 | JFE Steel Corporation | Control method for continuous casting machine, control device for continuous casting machine, and manufacturing method for casting |
WO2020170563A1 (en) | 2019-02-19 | 2020-08-27 | Jfeスチール株式会社 | Control method for continuous casting machine, control device for continuous casting machine, and method for manufacturing slab |
JP6835297B1 (en) | 2019-03-22 | 2021-02-24 | Jfeスチール株式会社 | In-mold solidified shell thickness estimation device and in-mold solidified shell thickness estimation method |
JP7335499B2 (en) * | 2019-09-13 | 2023-08-30 | 日本製鉄株式会社 | Continuous casting mold visualization device, method, and program |
JP7332875B2 (en) * | 2019-09-13 | 2023-08-24 | 日本製鉄株式会社 | Continuous casting mold visualization device, method, and program |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0747453A (en) * | 1993-08-10 | 1995-02-21 | Nippon Steel Corp | Quality control method in continuous casting process |
JP3747216B2 (en) * | 1995-05-13 | 2006-02-22 | 株式会社エビス | Continuous casting method and apparatus |
JPH105957A (en) | 1996-06-26 | 1998-01-13 | Nkk Corp | Detecting method for fluid of molten steel in continuous casting mold and controlling method thereof |
WO2000051762A1 (en) * | 1999-03-02 | 2000-09-08 | Nkk Corporation | Method and device for predication and control of molten steel flow pattern in continuous casting |
JP2003181609A (en) | 1999-03-02 | 2003-07-02 | Jfe Engineering Kk | Method and apparatus for estimating and controlling flow pattern of molten steel in continuous casting |
JP3598078B2 (en) * | 2001-06-13 | 2004-12-08 | 新日本製鐵株式会社 | A method for estimating and visualizing a flow velocity vector distribution in a continuous casting mold, and an apparatus therefor. |
DE102008055034A1 (en) * | 2008-12-19 | 2010-07-01 | Forschungszentrum Dresden - Rossendorf E.V. | Method and arrangement for contactless determination of velocity distributions of a liquid metal in a continuous casting mold |
JP4984000B1 (en) * | 2010-09-30 | 2012-07-25 | Jfeスチール株式会社 | Fluid system temperature estimation method, fluid system temperature distribution estimation method, fluid system temperature distribution monitoring method, temperature estimation device, hot dip galvanized steel temperature control method in hot dip galvanizing pot, hot dip galvanized steel sheet, and molten steel in tundish Temperature control method |
-
2014
- 2014-07-07 JP JP2014139302A patent/JP5935837B2/en active Active
-
2015
- 2015-07-03 KR KR1020167037070A patent/KR101993969B1/en active IP Right Grant
- 2015-07-03 EP EP15819360.7A patent/EP3167976B1/en not_active Not-in-force
- 2015-07-03 WO PCT/JP2015/069338 patent/WO2016006559A1/en active Application Filing
Non-Patent Citations (1)
Title |
---|
None * |
Also Published As
Publication number | Publication date |
---|---|
KR101993969B1 (en) | 2019-06-27 |
JP5935837B2 (en) | 2016-06-15 |
EP3167976A4 (en) | 2018-05-02 |
EP3167976A1 (en) | 2017-05-17 |
WO2016006559A1 (en) | 2016-01-14 |
JP2016016414A (en) | 2016-02-01 |
KR20170013360A (en) | 2017-02-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3167976B1 (en) | Molten steel flow-state estimating method and flow-state estimating device | |
JP6607215B2 (en) | Flow state estimation method for molten steel, flow state estimation device, on-line display device for flow state of molten steel, and continuous casting method for steel | |
US8651168B2 (en) | Cooling control system for continuous casting of metal | |
JP5387508B2 (en) | Continuous casting method, continuous casting control device and program | |
US11925974B2 (en) | Breakout prediction method, operation method of continuous casting machine, and breakout prediction device | |
EP3943213A1 (en) | Device for estimating solidifying shell thickness in casting mold, and method for estimating solidifying shell thickness in casting mold | |
JP2012218012A (en) | Light rolling reduction method of continuously cast billet | |
JP6435988B2 (en) | Breakout prediction method, breakout prevention method, solidified shell thickness measurement method, breakout prediction device and breakout prevention device in continuous casting | |
JPH01210160A (en) | Method for predicting longitudinal crack in continuous casting | |
JP6897583B2 (en) | Method for measuring the central solid phase ratio of slabs | |
WO2015045148A1 (en) | Soft reduction method for continuous casting piece | |
RU2813046C1 (en) | Method for predicting breakthrough, method of operating continuous casting machine and device for breakthrough prediction | |
RU2787109C1 (en) | Device for assessment of thickness of solidified crust in crystallizer and method for assessment of thickness of solidified crust in crystallizer | |
CN114466716B (en) | Device for estimating thickness of solidified shell in mold, method for estimating thickness of solidified shell in mold, and method for continuously casting steel | |
JP6358199B2 (en) | Method and apparatus for determining surface defects of continuous cast slab, and method for producing steel slab using the surface defect determination method | |
JP6160578B2 (en) | Method for determining surface cracks in continuous cast pieces | |
JP5800392B2 (en) | Light reduction method for continuous cast slabs | |
JP2014200816A (en) | Method and apparatus for determining solidification completion position of cast metal, and method for producing cast metal | |
EP3928890B1 (en) | Control method for continuous casting machine, control device for continuous casting machine, and manufacturing method for casting | |
WO2021065342A1 (en) | Device and method for estimating solidifying shell thickness in casting mold and continuous steel casting method | |
KR20160037527A (en) | Casting apparatus and visualization method for meniscus | |
CN113423521A (en) | Control method for continuous casting machine, control device for continuous casting machine, and method for manufacturing cast slab | |
KR20040020481A (en) | A Method for Calculating the Roll Life in a Continuous Casting | |
Mugwagwa et al. | Neural Network Breakout Prediction Model for Continuous Casting |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE |
|
PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE |
|
17P | Request for examination filed |
Effective date: 20161228 |
|
AK | Designated contracting states |
Kind code of ref document: A1 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR |
|
AX | Request for extension of the european patent |
Extension state: BA ME |
|
DAV | Request for validation of the european patent (deleted) | ||
DAX | Request for extension of the european patent (deleted) | ||
A4 | Supplementary search report drawn up and despatched |
Effective date: 20180406 |
|
RIC1 | Information provided on ipc code assigned before grant |
Ipc: B22D 11/115 20060101ALI20180329BHEP Ipc: B22D 11/16 20060101AFI20180329BHEP |
|
GRAP | Despatch of communication of intention to grant a patent |
Free format text: ORIGINAL CODE: EPIDOSNIGR1 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: GRANT OF PATENT IS INTENDED |
|
INTG | Intention to grant announced |
Effective date: 20180718 |
|
GRAS | Grant fee paid |
Free format text: ORIGINAL CODE: EPIDOSNIGR3 |
|
GRAA | (expected) grant |
Free format text: ORIGINAL CODE: 0009210 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE PATENT HAS BEEN GRANTED |
|
AK | Designated contracting states |
Kind code of ref document: B1 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR |
|
REG | Reference to a national code |
Ref country code: CH Ref legal event code: EP Ref country code: GB Ref legal event code: FG4D |
|
REG | Reference to a national code |
Ref country code: AT Ref legal event code: REF Ref document number: 1058780 Country of ref document: AT Kind code of ref document: T Effective date: 20181115 |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R096 Ref document number: 602015019291 Country of ref document: DE |
|
REG | Reference to a national code |
Ref country code: IE Ref legal event code: FG4D |
|
REG | Reference to a national code |
Ref country code: NL Ref legal event code: MP Effective date: 20181031 |
|
REG | Reference to a national code |
Ref country code: LT Ref legal event code: MG4D |
|
REG | Reference to a national code |
Ref country code: AT Ref legal event code: MK05 Ref document number: 1058780 Country of ref document: AT Kind code of ref document: T Effective date: 20181031 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: LT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: PL Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: BG Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20190131 Ref country code: NO Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20190131 Ref country code: AT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: HR Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: ES Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: IS Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20190228 Ref country code: LV Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: FI Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: PT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20190301 Ref country code: RS Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: AL Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: GR Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20190201 Ref country code: SE Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: NL Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: IT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: DK Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: CZ Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R097 Ref document number: 602015019291 Country of ref document: DE |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: RO Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: SM Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: EE Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 Ref country code: SK Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
PLBE | No opposition filed within time limit |
Free format text: ORIGINAL CODE: 0009261 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT |
|
26N | No opposition filed |
Effective date: 20190801 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: SI Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: MC Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
REG | Reference to a national code |
Ref country code: CH Ref legal event code: PL |
|
GBPC | Gb: european patent ceased through non-payment of renewal fee |
Effective date: 20190703 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: TR Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
REG | Reference to a national code |
Ref country code: BE Ref legal event code: MM Effective date: 20190731 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: GB Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190703 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: CH Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190731 Ref country code: BE Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190731 Ref country code: LU Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190703 Ref country code: LI Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190731 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: FR Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190731 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: IE Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20190703 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: CY Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: HU Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT; INVALID AB INITIO Effective date: 20150703 Ref country code: MT Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: DE Payment date: 20210608 Year of fee payment: 7 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: MK Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT Effective date: 20181031 |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R119 Ref document number: 602015019291 Country of ref document: DE |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: DE Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20230201 |