WO2021229645A1 - Procédé de chauffage par induction et système de chauffage par induction - Google Patents

Procédé de chauffage par induction et système de chauffage par induction Download PDF

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Publication number
WO2021229645A1
WO2021229645A1 PCT/JP2020/018836 JP2020018836W WO2021229645A1 WO 2021229645 A1 WO2021229645 A1 WO 2021229645A1 JP 2020018836 W JP2020018836 W JP 2020018836W WO 2021229645 A1 WO2021229645 A1 WO 2021229645A1
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temperature
predicted
heating
steel material
inductors
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PCT/JP2020/018836
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English (en)
Japanese (ja)
Inventor
俊人 下谷
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東芝三菱電機産業システム株式会社
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Application filed by 東芝三菱電機産業システム株式会社 filed Critical 東芝三菱電機産業システム株式会社
Priority to JP2021571475A priority Critical patent/JP7215603B2/ja
Priority to PCT/JP2020/018836 priority patent/WO2021229645A1/fr
Priority to CN202080035968.1A priority patent/CN113924173B/zh
Publication of WO2021229645A1 publication Critical patent/WO2021229645A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B45/00—Devices for surface or other treatment of work, specially combined with or arranged in, or specially adapted for use in connection with, metal-rolling mills
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P10/00—Technologies related to metal processing
    • Y02P10/25—Process efficiency

Definitions

  • the present invention relates to a method and a system for heating a steel material by an induction heating method in a hot rolling process.
  • the mechanical properties of the steel material manufactured through the hot rolling process are strongly related to the temperature of the steel material during the process. Therefore, temperature control of steel materials in the hot rolling process is important from the viewpoint of improving product quality.
  • IH devices induction heating devices
  • the thermal rundown is suppressed.
  • Thermal down is a phenomenon in which the temperature of the steel material decreases toward the tail end on the entrance side of the finishing rolling mill, mainly when the thin steel material is manufactured.
  • the occurrence of temperature unevenness in the longitudinal direction of the steel material due to heat removal from the columns (skids) that support the slab in the heating furnace is also reduced.
  • the rolling load is lowered, the plate-passability is improved, and the load on the finish rolling machine is also reduced.
  • the temperature rise due to heating of the tail end of the steel material has the effect of suppressing the occurrence of tail end drawing.
  • the tail end drawing is a phenomenon in which the tail end part meanders when passing through the finishing rolling mill and buckles when it comes into contact with the apparatus. Since the temperature of the end portion of the steel material in the width direction tends to decrease due to heat dissipation, the temperature distribution in the width direction becomes uniform by heating. Therefore, improvement in quality in the width direction is expected. Further, when the end portion is heated, it is possible to suppress the occurrence of a structure in which coarse grains and sized grains are mixed (that is, mixed grains) and cracks. It is also expected to have the effect of suppressing the flat wear of the roll of the finishing rolling mill.
  • IH devices are classified into two types, solenoid type and transverse type, depending on the direction of the main magnetic flux interlinking with the steel material (that is, the AC magnetic flux generated from the IH device).
  • solenoid type IH device the direction of the main magnetic flux coincides with the transport direction of the steel material.
  • transverse type IH device the direction of the main magnetic flux coincides with the thickness direction of the steel material.
  • Patent Documents 1 and 2 are exemplified as conventional techniques for a transverse type IH device.
  • Patent Documents 1 and 2 disclose an example in which three IH devices are arranged along the transport direction.
  • Patent Document 1 the amount of overlap of the IH device in the width direction of the steel material is controlled.
  • Patent Document 2 the distance between the cores of the IH device in the width direction is controlled. The amount of overlap and the control of the distance are both performed by changing the position of the IH device in the width direction.
  • the control of the IH device in Patent Document 1 is performed on the premise that the temperature distribution of the steel material in the width direction is symmetrical. Therefore, when this precondition is not satisfied, it is difficult to make the temperature distribution uniform in the width direction. Further, in the control of the IH device in Patent Document 2, the heating of the end portion in the width direction is secured by the control of the edge heater separately performed. Therefore, in order to make the temperature distribution uniform in the width direction, it is necessary to control the IH device and the edge heater in a coordinated manner.
  • the present invention has been made to solve the above-mentioned problems, and even when the temperature distribution in the width direction is not symmetrical, a technique capable of making the temperature distribution uniform only by executing the control of the IH device is provided.
  • the purpose is to provide.
  • the present invention is a transverse induction heating method and has the following features.
  • the induction heating method includes the electric power supplied to each of the plurality of inductors provided in the transport direction of the rolling line to heat the steel material, and the positions of the plurality of inductors in the direction orthogonal to the transport direction. Includes steps to set the combination of ,.
  • the step of setting the combination is A step of calculating an entry-side predicted temperature indicating the predicted temperature of each of the plurality of sections of the steel material in the orthogonal direction at the heating start position of the steel material by the plurality of inductors.
  • the candidate or the evaluation when the evaluation function having the predicted temperature on the exit side and the target temperature on the exit side indicating the target temperature of each of the plurality of categories at the heating end position as variables is less than the threshold value.
  • the entry side predicted temperature may be calculated based on the entry side actual temperature indicating the actual temperature of each section of the steel material upstream from the heating start position.
  • the steel material includes the current material located upstream of the heating start position and the previous material located downstream of the heating end position and heated by these inductors immediately before the heating of the current material by the plurality of inductors. , May be included.
  • the step of setting the combination is a step of calculating the deviation between the predicted outlet temperature of the previous material and the actual temperature of the outlet indicating the actual temperature of each category of the previous material downstream from the heating end position. Further may be included.
  • the predicted entry temperature may be calculated based on the respective temperatures of the plurality of sections of the current material upstream from the heating start position and the deviation. good.
  • the present invention is a transverse induction heating system and has the following features.
  • the induction heating system is Multiple inductors provided in the transport direction of the rolling line to heat the steel material, Based on the power supplied to each of the plurality of inductors and the respective positions of the plurality of inductors in the direction orthogonal to the transport direction, the temperature of the plurality of divisions of the steel material in the orthogonal direction is determined.
  • the control device to control and To prepare for.
  • the control device performs a setting calculation process for setting a combination of the electric power and the position.
  • the control device is used in the setting calculation process.
  • the input side predicted temperature indicating the predicted temperature of each of the plurality of categories at the heating start position of the steel material by the plurality of inductors was calculated.
  • the candidate When the candidate is adopted, the amount of temperature rise in each of the plurality of categories is predicted using a machine learning model. Based on the input side predicted temperature and the temperature rise amount, the exit side predicted temperature indicating the predicted temperature of each of the plurality of categories at the heating end position of the steel material by the plurality of inductors is calculated. The candidate or the evaluation when the evaluation function having the predicted temperature on the exit side and the target temperature on the exit side indicating the target temperature of each of the plurality of categories at the heating end position as variables is less than the threshold value. The candidate when the function is minimized is adopted as the combination.
  • the induction heating system may be provided upstream from the heating start position and may further include an entry-side thermometer for measuring the entry-side actual temperature indicating the actual temperature of each section of the steel material.
  • the control device may calculate the incoming side predicted temperature based on the incoming side actual temperature in the setting calculation process.
  • the induction heating system may be further provided downstream from the heating end position and further provided with an outlet thermometer that measures the actual temperature of the outlet indicating the actual temperature of each section of the steel material.
  • the steel material includes the current material located upstream of the heating start position and the previous material located downstream of the heating end position and heated by these inductors immediately before the heating of the current material by the plurality of inductors. , May be included.
  • the control device is used in the setting calculation process. The deviation between the predicted temperature on the exit side of the previous material and the actual temperature on the exit side of the previous material was calculated.
  • the predicted entry temperature may be calculated based on the temperature of each of the plurality of sections of the current material upstream from the heating start position and the deviation.
  • a combination of the electric power supplied to each of the plurality of inductors and the position of each of the plurality of inductors is set.
  • the predicted temperature that is, the predicted temperature on the entry side
  • the amount of temperature rise in each of the plurality of categories is predicted using a machine learning model.
  • the predicted temperature that is, the exit side predicted temperature of each of the plurality of divisions at the heating end position of the steel material is calculated. ..
  • a candidate or the evaluation when the evaluation function having the predicted temperature on the exit side and the target temperature of each of the plurality of divisions at the heating end position (that is, the target temperature on the exit side) as variables is less than the threshold value.
  • the candidate when the function is minimized is adopted as the combination of power and position.
  • an evaluation function using the predicted exit temperature calculated in consideration of the predicted inlet temperature and the amount of temperature rise and the target exit temperature as variables is used. It is possible to determine the appropriate power and position combination. Therefore, even when the temperature distribution in the width direction is not symmetrical, it is possible to make the temperature distribution uniform at the heating end position only by executing the control of the inductor.
  • a setting calculation process for setting a combination of electric power and position is performed.
  • the appropriate power and position are obtained by using the evaluation function with the predicted temperature on the exit side calculated in consideration of the predicted temperature on the entrance side and the amount of temperature rise and the target temperature on the exit side as variables. It becomes possible to determine the combination. Therefore, even when the temperature distribution in the width direction is not symmetrical, it is possible to make the temperature distribution uniform at the heating end position only by executing the control of the inductor.
  • FIG. 1 is a schematic diagram showing an example of the configuration of a hot rolling equipment to which the induction heating system (hereinafter, also referred to as “IH system”) according to the first embodiment is applied.
  • the induction heating method according to the first embodiment is realized by the IH system according to the first embodiment.
  • the hot rolling equipment is equipment for processing steel SS as a rolled material into a final product having a desired thickness and width.
  • the hot rolling equipment includes an IH device 1, a rolling line 2, a computer 4, and a thermometer 3.
  • the IH device 1, the computer 4, and the thermometer 3 constitute the IH system according to the first embodiment.
  • the configuration of the rolling line 2 will be described.
  • the rolling line 2 includes a heating furnace 21, a rough rolling machine 22, a finishing rolling machine 23, a cooling table 24, and a winding machine 25.
  • the heating furnace 21 is provided upstream of the rolling line 2.
  • the heating furnace 21 heats the steel SS to a predetermined temperature (for example, about 1200 ° C.).
  • a rectangular parallelepiped steel SS is extracted from the heating furnace 21.
  • the steel SS extracted from the heating furnace 21 has, for example, a thickness of 200 to 250 mm, a width of 800 to 2000 mm, and a length of 5 to 12 m.
  • the rough rolling mill 22 is provided downstream of the heating furnace 21.
  • the rough rolling mill 22 includes 1 to 3 rolling stands.
  • rolling in the forward direction from the upstream to the downstream of the rolling line 2 and rolling in the reverse direction from the downstream to the upstream are alternately performed a plurality of times. That is, the steel material SS reciprocates the rough rolling mill 22 a plurality of times.
  • the thickness of the steel material SS is reduced to a predetermined thickness.
  • the rough rolling mill 22 may be provided with a device called an edger for adjusting the width of the steel material SS.
  • the finish rolling mill 23 is provided downstream of the IH device 1.
  • the finishing rolling mill 23 includes a plurality of rolling stands (for example, seven).
  • the finishing rolling mill 23 has devices such as rolling rolls and support rolls for each rolling stand.
  • rolling is performed in one direction from the upstream to the downstream of the rolling line 2.
  • the thickness of the steel SS is reduced to the product thickness.
  • the temperature of the steel SS decreases due to contact with the rolling rolls and injection of cooling water.
  • the temperature of the steel material SS on the output side of the finish rolling mill 23 is, for example, about 900 ° C.
  • the cooling table 24 is provided downstream of the finishing rolling mill 23.
  • the cooling table 24 includes a water cooling device (not shown) called a cooling bank.
  • the cooling table 24 injects cooling water from this cooling bank to lower the temperature of the steel material SS.
  • the winder 25 is provided downstream of the cooling table 24.
  • the winder 25 winds the steel SS into a coil.
  • the temperature of the steel material SS before being wound by the winder 25 is around 600 ° C. in the case of ordinary steel. In the case of special steel, this temperature may be about 200 ° C.
  • FIG. 2 is a schematic view showing an example of the configuration of the IH device 1.
  • the IH device 1 shown in FIG. 2 includes structural portions 11t and 11b, carts 12t and 12b, inductors 13t and 13b, a power supply 14, and a position controller 15.
  • the structure portion 11t accommodates the inductor 13t. Structure 11t is moved in the width direction W SS within range of mechanical restrictions. Structurally portion 11t is moved, it changes the position of the inductor 13t in the width direction W SS. Movement of the structural unit 11t is, the position of the carriage 12t in the width direction W SS, the position controller 15 is performed by changing.
  • the structure of the structural portion 11b is the same as that of the structural portion 11t.
  • the configuration of the dolly 12b is the same as that of the dolly 12t.
  • the configuration of the inductor 13b is the same as that of the inductor 13t.
  • the structure of the structural portion 11b is the same as that of the structural portion 11t.
  • the configuration of the dolly 12b is the same as that of the dolly 12t. Movement of the structural unit 11b, the position of the carriage 12b in the width direction W SS, the position controller 15 is performed by changing.
  • the trolleys 12t and 12b are controlled independently by the position controller 15.
  • FIG. 3 is a schematic view showing an example of the configuration of the inductors 13t and 13b.
  • the inductor 13t includes an iron core 16t and a heating coil 17t.
  • the inductor 13b includes an iron core 16b and a heating coil 17b.
  • An alternating current is supplied to the heating coils 17t and 17b from the power supply 14 shown in FIG.
  • an interlinkage magnetic flux is generated in the TH SS in the thickness direction of the steel material SS.
  • the interlinkage magnetic flux induces eddy currents in the steel SS. Joule heat is generated by this eddy current, and the steel SS is heated.
  • the reference position for use position of the center line L SS in various controls is also referred to as "shift".
  • the distance from the center line L SS to the axis L 16t of the core 16t xt, and the distance xb from the center line L SS to the axis L 16b of the iron core 16b is also referred to as "shift".
  • the distances xt and xb change.
  • the distances xt and xb do not have to match.
  • the distance in the thickness direction TH SS from steel SS to core 16t yt, and the distance yb in the thickness direction TH SS from steel SS to core 16b may not match.
  • FIG. 4 is a schematic view showing an example of the arrangement of the IH device 1.
  • FIG. 4 describes an example of the arrangement of the inductor 13t.
  • the example of the arrangement of the inductor 13b is basically the same as that of the inductor 13t. Therefore, the description of the example of the arrangement of the inductor 13b will be omitted.
  • the inductor 13t are arranged along the conveying direction DE SS steel SS.
  • the transport direction DE SS is a direction orthogonal to the width direction W SS.
  • Inductor 13t_ # 1 corresponds to the "top inductor” located most upstream in the conveying direction DE SS.
  • the inductor 13t_ # 2 is located downstream of the inductor 13t_ # 1.
  • Inductor 13t_ # N IH corresponds to "final inductor" located most downstream in the conveying direction DE SS.
  • the operator's private room (that is, the pulpit) side provided in the rolling line 2 is referred to as an operator side OS.
  • the other side of this private room is called the drive side DS.
  • the inductor 13t_ # 1 is located on the drive side DS.
  • Inductor 13t_ # N IH is located operator side OS.
  • thermometer 3 is provided upstream of the leading inductor.
  • the thermometer 3 measures the actual temperature of the surface of the node ND_ # i of the steel material SS as the “inside actual temperature Tei mes ” (however, i satisfies 1 ⁇ i ⁇ N ND ).
  • FIG. 5 is a schematic diagram showing an example of the node ND.
  • N ND-number of nodes ND_ # i is set along the width direction W SS. Therefore, data entry side actual temperature Tei meas constitutes the temperature distribution DerutaTei meas information steel SS in the width direction W SS.
  • the thermometer 3 sends information on the temperature distribution ⁇ Tei meas to the computer 4.
  • FIG. 6 is a block diagram illustrating an example of the configuration of the functions of the computer 4. As shown in FIG. 6, the computer 4 includes a temperature calculation unit 41, an induction heating control unit (hereinafter, also referred to as “IH control unit”) 42, and a database 43. Some or all of these functions are realized by the processor of the computer 4 executing various programs stored in the memory.
  • IH control unit induction heating control unit
  • the temperature calculation unit 41 calculates the temperature distribution ⁇ T of the steel material SS in each step of the rolling process.
  • the rolling command information MIL and the actual temperature information TEM are used for the calculation of the temperature distribution ⁇ T.
  • the rolling instruction information MIL includes data of the steel grade Gp, width Wp and thickness THp of the final product.
  • the rolling instruction information MIL also includes data of a target width W tgt and a target thickness TH tgt of the steel material SS in each process.
  • the rolling command information MIL further includes data on the target temperature FDT of the steel material SS on the exit side of the finishing rolling mill 23 and data on the target temperature CT of the steel material SS before winding by the winder 25.
  • the actual temperature information TEM includes information of the temperature distribution ⁇ Tei meas.
  • the temperature calculation unit 41 sets the target temperature of the node ND_ # i (1 ⁇ i ⁇ N ND ) downstream of the final inductor as “outside target temperature Tdi tgt ”, for example, based on the target temperature FDT and CT data. calculate.
  • Data outgoing side target temperature Tdi tgt constitutes information of the temperature distribution DerutaTdi tgt steel SS in the width direction W SS.
  • the temperature calculation unit 41 may calculate the exit side target temperature Tdi tgt based on the data input from the operator.
  • the temperature calculation unit 41 may calculate the output side target temperature Tdi tgt based on the data of the target temperature FDT and CT and the data input from the operator.
  • the temperature calculation unit 41 sends information on the temperature distribution ⁇ Tdi tgt to the IH control unit 42.
  • the temperature calculation unit 41 also calculates the predicted temperature of the steel material SS at the heating start position of the steel material SS by the IH device 1 as the “inside predicted temperature Tei calf ” based on the information of the temperature distribution ⁇ Tei meas. As the heating start position, the position of the leading inductor is exemplified. Data entry side predicted temperature Tei calf constitutes information of the temperature distribution DerutaTei calf steel SS in the width direction W SS. The temperature calculation unit 41 sends information on the temperature distribution ⁇ Tei calf to the IH control unit 42.
  • the IH control unit 42 controls the IH device 1 by setting each power supplied to the inductors 13t and 13b and each shift of the inductors 13t and 13b.
  • the IH control unit 42 includes a data acquisition unit 44 and a setting calculation unit 45.
  • the data acquisition unit 44 acquires information from the temperature calculation unit 41.
  • the information from the temperature calculation unit 41 includes information on the temperature distribution ⁇ Tdi tgt and information on the temperature distribution ⁇ Tei calf .
  • the data acquisition unit 44 also acquires information from the database 43.
  • the information from the database 43 includes model parameters and data tables for various controls in the rolling process.
  • the data acquired by the data acquisition unit 44 constitutes the setting calculation information SET.
  • the data acquisition unit 44 sends the setting calculation information SET to the setting calculation unit 45.
  • the setting calculation unit 45 performs a "setting calculation process" for calculating the optimum power command value CMp and the optimum shift command value CMx based on the setting calculation information SET. For details of the setting calculation process, see Item 2-2. Explained in.
  • the setting calculation unit 45 sends the power command value CMp to the power supply 14.
  • the setting calculation unit 45 sends the shift command value CMx to the position controller 15.
  • the amount of heat to be introduced from the IH device 1 in steel SS is a diagram showing an example of the distribution in the width direction W SS of.
  • Distribution (I) is an example of distribution when the distances xt and xb are 0 mm (ie, when the shift is 0 mm).
  • the distribution of heat quantity changes from the distribution (I) to the distribution (II).
  • the distribution of heat quantity changes from distribution (I) to distribution (III). In this way, changing the shift changes the tendency of heat distribution.
  • the distribution of heat amount itself changes depending on the design of the inductor and the like.
  • the setting calculation unit 45 performs the setting calculation process.
  • the details of the setting calculation process will be described.
  • FIG. 8 is a flowchart illustrating a flow of the setting calculation process according to the first embodiment. The routine shown in FIG. 8 is repeatedly executed by the processor of the computer 4 at predetermined cycles.
  • the setting calculation information SET is acquired (step S11).
  • the setting calculation information SET is information from the temperature calculation unit 41 and the database 43 described above.
  • the predicted entry temperature Tei calf is calculated (step S12).
  • the incoming side predicted temperature Tei calf is calculated based on, for example, the data of the incoming side actual temperature Tei meas and the amount of heat released from the installation position of the thermometer 3 to the heating start position. This heat dissipation amount is calculated based on model parameters such as the arrival time from the installation position to the heating start position, the thickness and width of the steel material, and the steel grade Gp.
  • the initial values INxj and INpj are set (step S13).
  • the initial value INxj is the initial value of the inductor 13t and 13b shifts located j-th in the conveying direction DE SS (although, j satisfies 1 ⁇ j ⁇ N IH).
  • the initial value INpj is the initial value of the power supplied to the inductor 13t and 13b located j-th (where, j satisfies 1 ⁇ j ⁇ N IH).
  • FIG. 9 is an example of a data table showing a combination of initial values INxj and INpj.
  • the thickness segment is divided into N TH pieces
  • the width segment is divided into N W pieces, based on the combination of the initial value INxj and INpj (x mn_k, p mn_k) is It is set (however, m satisfies 1 ⁇ m ⁇ N W , n satisfies 1 ⁇ n ⁇ N TH , and k satisfies 1 ⁇ k ⁇ NIH ).
  • the thickness division and the width division are set based on the data of the width Wp and the thickness THp.
  • the combinations (x mn_k , pmn_k ) referenced by the table are used only as initial values in the setting calculation process. Therefore, the number N TH and N W may be small. Further, the classification based on the data of the steel grade Gp, the target temperature FDT, and the target temperature CT may be added to the classification shown in FIG.
  • step S14 NoboriAtsushiryou QTij the j-th node by the IH device 1 (1 ⁇ j ⁇ N IH) ND_ # i (1 ⁇ i ⁇ N ND) is calculated (step S14).
  • the calculation of the temperature rise amount QTij is calculated using the temperature rise amount model. For an example of the temperature rise model and an example of calculation of the temperature rise QTij, see Item 2-2-2. Explained in.
  • the data of the temperature rise amount QTij constitutes information of the distribution ⁇ Tij indicating the amount of change in temperature on the surface of the steel material SS when the steel material SS is heated by the IH device 1.
  • the predicted temperature of the steel material SS at the heating end position of the steel material SS by the IH device 1 is calculated as “outside predicted temperature Tdi cal ” (step S15).
  • the position of the final inductor is exemplified as the heating end position.
  • the exit side predicted temperature Tdi cal is the following formula showing the sum of the data of the input side predicted temperature Tei calf and the temperature change amount obtained by adding the data of the temperature rise amount QTij for the number of IH devices 1. Calculated based on 1).
  • the x j min shown in the equation (1) is the lower limit constraint of the shift of the inductor located at the jth position, and the x j max is the upper limit constraint of the shift.
  • p j min is the lower limit constraint of the electric power supplied to the inductor located at the jth position
  • p j max is the upper limit constraint of the electric power.
  • step S15 it is determined whether or not the convergence condition is satisfied for the predicted output temperature Tdi cal calculated in step S15 (step S16). Judgment as to whether or not the convergence condition is satisfied is performed using the evaluation function obj defined by the following equation (2).
  • W j shown in the equation (2) is a weighting coefficient for the node ND_ # i (1 ⁇ i ⁇ N ND).
  • the convergence condition includes, for example, that the evaluation function fobj is less than the threshold value.
  • a combination of candidate values CAxj and CApj (x mn_k , pmn_k ) is set (step S17), and the processes of steps S14 to S16 are performed.
  • the candidate value CAxj is a candidate value for shifting the inductor located at the jth position.
  • the candidate value CApj is a candidate for the power supplied to the inductor located at the jth position.
  • the convergence condition includes that the number of repetitions of the processes of steps S14 to S17 has reached the upper limit.
  • the evaluation function fobj is less than the threshold value, or when the number of repetitions of the processes of steps S14 to S17 reaches the upper limit, it is determined that the convergence condition is satisfied.
  • the optimum values OPx and OPp are determined (step S18).
  • the optimum value OPx is a shift command value CMx input to the position controller 15.
  • the optimum value OPp is a power command value CMp input to the power supply 14.
  • the optimum values OPx and OPp are determined in consideration of the determination contents in step S16. Specifically, when it is determined that the evaluation function obj is less than the threshold value, the combinations (x mn_k , pmn_k ) used in the calculation of the evaluation function obj are adopted as the optimum values OPx and OPp. .. When it is determined that the number of repetitions has reached the upper limit, the combinations (x mn_k , pmn_k ) used in the calculation when the evaluation function obj is minimized are adopted as the optimum values OPx and OPp.
  • FIG. 10 is a schematic diagram showing an example of a temperature rise amount model.
  • a machine learning model is used as the temperature rise amount model.
  • a machine learning model is constructed by a neural network composed of an input layer IPT, an intermediate layer MID, and an output layer OPT.
  • the heating factor of the steel material SS is input to the input layer IPT. Examples of the heating factor include a steel grade Gp, a width Wp, a thickness THp, an exit target temperature Tdi tgt, and an entry side actual temperature Tei meas .
  • a case study for various heating factors is carried out in advance by numerical analysis of a three-dimensional magnetic field and heat quantity by a finite element method or the like.
  • the surface temperature at the node ND_ # i at the heating end position is determined in each case.
  • this temperature is teacher data, a machine learning model is constructed.
  • the setting calculation process is performed to determine the optimum values OPx and OPp.
  • iterative calculation using the evaluation function obj is performed.
  • the variable of the evaluation function obj the predicted output temperature Tdi cal is used (see equation (2)).
  • the temperature rise amount QTij calculated using the temperature rise amount model is used (see equation (1)). Then, in the calculation of the temperature rise amount QTij, the combination of the candidate values CAxj and CApj is taken into consideration. Therefore, according to the control of the IH device 1 performed based on the optimum value OPx and OPp, it becomes possible to uniform the temperature distribution ⁇ T of steel SS in the width direction W SS in the heating end position.
  • the input side predicted temperature Tei calf is used as the variable of the exit side predicted temperature Tdi cal (see equation (1)).
  • the data of the incoming side actual temperature Tei meas is used for the calculation of the incoming side predicted temperature Tei calf. That is, the incoming side actual temperature Tei meas is taken into consideration in the calculation of the incoming side predicted temperature Tei calf. Therefore, it is possible to improve the accuracy of the prediction of the output side predicted temperature Tdi cal and to improve the reliability of the optimum values OPx and OPp. Therefore, it is possible to increase the reliability of the control of the IH device 1 performed based on the optimum values OPx and OPp.
  • FIG. 11 is a schematic diagram showing the configuration of a hot rolling facility to which the IH system according to the second embodiment is applied.
  • the induction heating method according to the second embodiment is realized by the IH system described below.
  • the hot rolling equipment includes an IH device 1, a rolling line 2, a computer 4, and a thermometer 5.
  • the IH device 1, the computer 4, and the thermometer 5 constitute the IH system according to the second embodiment.
  • the thermometer 5 is provided downstream of the final inductor.
  • Thermometer 5 the actual temperature of the surface at the node ND_ # i of steel SS, measured as "exit-side actual temperature Tdi meas" (1 ⁇ i ⁇ N ND) .
  • the concept of node ND_ # i is as described in FIG.
  • Data outgoing side actual temperature Tdi meas constitutes the temperature distribution DerutaTdi meas information steel SS in the width direction W SS.
  • Thermometer 5 sends the information of the temperature distribution DerutaTdi meas the computer 4.
  • FIG. 12 is a block diagram illustrating an example of the configuration of the functions of the computer 4. As shown in FIG. 12, the computer 4 includes a temperature calculation unit 41, an IH control unit 42, a database 43, and a temperature distribution prediction unit 46. Some or all of these functions are realized by the processor of the computer 4 executing various programs stored in the memory.
  • the function of the temperature calculation unit 41 is basically the same as that in the first embodiment. However, in the second embodiment, the temperature calculation unit 41 calculates the predicted temperature of the steel material SS at the heating start position as “ inside predicted temperature Tei cals”. The inlet side to the calculation of the predicted temperature Tei cals, other information is used as the temperature distribution DerutaTei meas information. Note that the temperature distribution DerutaTei meas information is information used for the calculation of the ingress predicted temperature Tei calf in the first embodiment.
  • This other information consists of surface temperature data at node ND_ # i measured or predicted upstream of the lead inductor, such as surface temperature data at node ND_ # i on the exit side of the rough rolling mill 22.
  • the information to be given is exemplified.
  • Data entry side predicted temperature Tei cals constitutes information of the temperature distribution DerutaTei cals steel SS in the width direction W SS.
  • the temperature calculation unit 41 sends information on the temperature distribution ⁇ Tei cals to the temperature distribution prediction unit 46.
  • the function of the IH control unit 42 is basically the same as that in the first embodiment. That is, the IH control unit 42 (setting calculation unit 45) performs the setting calculation process based on the setting calculation information SET. However, in the second embodiment, the IH controller 42 (setting calculation unit 45), the information of the temperature distribution DerutaTdi cal used as variables of the evaluation function obj when optimum values OPx and OPp is employed, the prediction temperature distribution Send to department 46.
  • Temperature distribution predicting unit 46 the temperature distribution ⁇ T of steel SS in the width direction W SS in the heating start position is calculated as a "temperature distribution DerutaTei Recal”.
  • the temperature distribution ⁇ Tei recal is composed of data of the repredicted temperature of the steel material SS in the width direction WSS at the heating start position (hereinafter, also referred to as “inside repredicted temperature Tei recal”).
  • Entry side again predicted temperature Tei Recal is, specifically, the data entry side predicted temperature Tei cals, is calculated based on the equation showing the sum of the deviation T error (formula (3)).
  • Deviation T error is immediately before the heating of the steel SS by IH device 1, and the data output side predicted temperature Tdi cal another steel SS heated by the IH unit 1, exit side actual temperature of the different steel SS It is calculated based on the data of Tdi meas.
  • this time material SSB the steel material SS located upstream of the heating start position and to be heated by the IH device 1
  • previous material SSA The steel material SS located downstream of the heating end position and heated by the IH device 1 immediately before the material SSB this time.
  • ⁇ shown in the formula (3) is a coefficient representing the influence of the previous material SSA on the current material SSB.
  • Data outgoing side actual temperature Tdi meas represented by formula (4) is included in the temperature distribution DerutaTdi meas information of the previous material SSA input from the temperature calculation section 41.
  • the data of the output side predicted temperature Tdi cal is included in the information of the temperature distribution ⁇ Tdi cal of the previous material SSA input from the setting calculation unit 45.
  • FIG. 13 is a schematic diagram showing an example of the relationship between the temperature distributions ⁇ Tdi cal and ⁇ T di meas of the previous material SSA and the temperature distributions Tei cals and ⁇ Tei recal of the current material SSB.
  • the IH system according to the first embodiment the information of the temperature distribution DerutaTei meas is obtained from the thermometer 3.
  • the IH system according to the second embodiment is not provided with the thermometer 3. Therefore, when comparing these systems, it is assumed that the accuracy of the prediction of the temperature distribution ⁇ Tei cals is low in the second embodiment.
  • the prediction information of the temperature distribution of the previous material SSA downstream of the final inductor that is, the information of the temperature distribution ⁇ Tdi cal of the previous material SSA
  • the result information that is, the temperature distribution ⁇ Tdi of the previous material SSA.
  • FIG. 14 is a flowchart illustrating a flow of the setting calculation process according to the second embodiment.
  • the routine shown in FIG. 14 is executed after the end of heating of the previous material SSA by the IH device 1 and before the start of heating of the material SSB this time.
  • the processes of steps S11 and S13 to S18 shown in FIG. 14 are as described in FIG. Therefore, in the following, the contents of the processing of the steps other than these steps will be described.
  • the predicted entry temperature Tei cals is calculated (step S21).
  • the incoming predicted temperature Tei cals is calculated, for example, based on the data constituting the above-mentioned "other information".
  • the data constituting the "other information” is the data of the actual temperature of the surface at the node ND_ # i on the exit side of the rough rolling mill 22.
  • the input side predicted temperature Tei is based on the amount of heat radiated from the position of the thermometer installed on the outlet side of the rough rolling mill 22 to the heating start position and the actual temperature data sent from the thermometer. cals are calculated.
  • step S22 the deviation Terror is calculated (step S22). Calculation of the deviation T error is performed by inputting the data output side predicted temperature Tdi cal previous material SSA, and the exit-side actual temperature Tdi meas of the previous material SSA data to equation (4).
  • step S23 the incoming repredicted temperature Tei recal is calculated (step S23).
  • Calculation of the inlet side re predicted temperature Tei Recal is performed by inputting the deviation T error calculated in step S22, the data of the ingress predicted temperature Tei cals of this material SSB in equation (3).
  • thermometer 3 that is, the thermometer 3 shown in FIG. 1
  • the entrance side is provided.
  • the calculation of the incoming re-predicted temperature Tei recal performed using data different from the data of the actual temperature Tei meas compensates for the decrease in the prediction accuracy of the incoming predicted temperature Tei cals. Therefore, according to the IH system according to the second embodiment, it is possible to obtain the same effect as that according to the first embodiment.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Heat Treatment Processes (AREA)
  • General Induction Heating (AREA)
  • Control Of Metal Rolling (AREA)

Abstract

Un procédé de chauffage par induction selon la présente invention comprend des étapes pour régler des combinaisons de l'énergie alimentant chacun d'une pluralité d'inducteurs de chauffage d'acier et de la position de chacun de la pluralité d'inducteurs. Les étapes pour régler les combinaisons comprennent : une étape (S12) dans laquelle des températures prédites côté entrée (Teicalf, Teicals) sont calculées ; des étapes (S13, S16, S17) dans lesquelles un candidat pour la combinaison est défini ; une étape (S14) dans laquelle l'augmentation de température (QTij) qui résulterait si le candidat était sélectionné est prédite en utilisant un modèle d'apprentissage machine ; une étape (S15) dans laquelle une température prédite côté sortie (Tdical) est calculée ; et une étape (S18) dans laquelle le candidat qui donne moins d'un seuil à partir d'une fonction d'évaluation qui utilise la température prédite côté sortie (Tdical) et une température cible côté sortie (Tditgt) en tant que variables, ou le candidat qui donne la plus faible valeur à partir de la fonction d'évaluation, est sélectionné pour une utilisation dans la combinaison.
PCT/JP2020/018836 2020-05-11 2020-05-11 Procédé de chauffage par induction et système de chauffage par induction WO2021229645A1 (fr)

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JP2021571475A JP7215603B2 (ja) 2020-05-11 2020-05-11 誘導加熱方法および誘導加熱システム
PCT/JP2020/018836 WO2021229645A1 (fr) 2020-05-11 2020-05-11 Procédé de chauffage par induction et système de chauffage par induction
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