WO2021229949A1 - 厚鋼板の温度偏差予測方法、厚鋼板の温度偏差制御方法、厚鋼板の温度偏差予測モデルの生成方法、厚鋼板の製造方法、及び厚鋼板の製造設備 - Google Patents

厚鋼板の温度偏差予測方法、厚鋼板の温度偏差制御方法、厚鋼板の温度偏差予測モデルの生成方法、厚鋼板の製造方法、及び厚鋼板の製造設備 Download PDF

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Publication number
WO2021229949A1
WO2021229949A1 PCT/JP2021/014115 JP2021014115W WO2021229949A1 WO 2021229949 A1 WO2021229949 A1 WO 2021229949A1 JP 2021014115 W JP2021014115 W JP 2021014115W WO 2021229949 A1 WO2021229949 A1 WO 2021229949A1
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WIPO (PCT)
Prior art keywords
thick steel
steel plate
temperature deviation
cooling
steel sheet
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.)
Ceased
Application number
PCT/JP2021/014115
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English (en)
French (fr)
Japanese (ja)
Inventor
佑介 野島
悟史 上岡
雄太 田村
幸雄 木村
貴大 平野
健 三浦
桜里 熊野
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JFE Steel Corp
Original Assignee
JFE Steel Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by JFE Steel Corp filed Critical JFE Steel Corp
Priority to EP21804597.9A priority Critical patent/EP4151326A4/en
Priority to JP2021526790A priority patent/JPWO2021229949A1/ja
Priority to CN202180033727.8A priority patent/CN115529821A/zh
Priority to BR112022023144A priority patent/BR112022023144A2/pt
Priority to KR1020227036185A priority patent/KR20220152392A/ko
Publication of WO2021229949A1 publication Critical patent/WO2021229949A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/74—Temperature control, e.g. by cooling or heating the rolls or the product
    • B21B37/76—Cooling control on the run-out table
    • 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
    • B21B45/02—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 for lubricating, cooling, or cleaning
    • B21B45/0203—Cooling
    • B21B45/0209—Cooling devices, e.g. using gaseous coolants
    • 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
    • B21B45/02—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 for lubricating, cooling, or cleaning
    • B21B45/0269—Cleaning
    • B21B45/0275—Cleaning devices
    • B21B45/0278—Cleaning devices removing liquids
    • B21B45/0281—Cleaning devices removing liquids removing coolants
    • C—CHEMISTRY; METALLURGY
    • C21—METALLURGY OF IRON
    • C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
    • C21D11/00—Process control or regulation for heat treatments
    • C21D11/005—Process control or regulation for heat treatments for cooling
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
    • B21B38/006—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
    • 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
    • B21B45/02—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 for lubricating, cooling, or cleaning
    • B21B45/0203—Cooling
    • B21B45/0209—Cooling devices, e.g. using gaseous coolants
    • B21B45/0215—Cooling devices, e.g. using gaseous coolants using liquid coolants, e.g. for sections, for tubes
    • B21B45/0218—Cooling devices, e.g. using gaseous coolants using liquid coolants, e.g. for sections, for tubes for strips, sheets, or plates

Definitions

  • the present invention relates to a technique for manufacturing equipment and a manufacturing method for heat-treating a thick steel sheet, and more particularly to a technique for predicting and making the temperature distribution in the in-plane direction of the thick steel sheet after passing through a cooling facility uniform.
  • quenching refers to cooling equipment for steel plates above the Ac3 transformation point, which is the completion temperature of austenite transformation after hot rolling, and steel plates that have been cooled after rolling and then heated again to above the Ac3 transformation point in a heating furnace or the like.
  • a heat treatment method that rapidly cools to below the martensite transformation start temperature (Ms point).
  • Quenching is widely used as a method for producing a particularly high-strength thick steel sheet.
  • quenching the rolled steel sheet without cooling and reheating is particularly referred to as direct quenching.
  • a heat treatment facility consisting of a heating furnace and a cooling facility located at a location different from the rolling line is used to quench the thick steel sheet once cooled after hot rolling.
  • FIG. 6 shows an example of the time change of the temperature distribution in the plate thickness direction of the thick steel plate after the cooling is stopped.
  • FIG. 6A immediately after the cooling is stopped, the temperature of the surface layer of the steel sheet is low, and a large temperature deviation is attached between the surface layer and the center position. After that, as shown in FIGS. 6 (b) and 6 (c), the temperature of the surface layer rises due to the reheat from the center position as time passes, so that the temperature deviation between the surface layer and the center position becomes small. Then, the entire steel sheet reaches a predetermined target cooling stop temperature.
  • FIG. 7 shows an example of the history of the surface temperature of the steel sheet in the high temperature steel sheet water cooling process.
  • the steel sheet in the initial stage of water cooling, the steel sheet is cooled in a film boiling state where there is a steam film between the steel sheet and water. Since water and the steel sheet do not come into direct contact with each other in the boiling state of the film, the heat transfer coefficient, which is an index of the cooling capacity, is low, and the surface temperature gradually decreases.
  • the surface temperature reaches about 700 to 500 ° C., it becomes difficult to maintain the steam film between the water and the steel sheet, and the steel sheet is cooled in the transition boiling state where the water and the steel sheet partially contact each other.
  • the evaporation of the water in contact with the steel sheet causes the flow of water in the vicinity of the steel sheet to become violent, the heat transfer coefficient rises sharply, and the surface temperature drops sharply. After that, while maintaining a high heat transfer coefficient, the steel sheet shifts to a nucleate boiling state in which contact with water constantly occurs, and the surface temperature drops sharply to near the water temperature.
  • Patent Document 2 states that by appropriately controlling the pressing load of the draining roll, the gap formed in the contact portion between the upper roll of the draining roll and the steel sheet is narrowed. Then, a technique for preventing the cooling water from leaking to the outside of the draining roll is disclosed. On the other hand, in Patent Document 3, a region for injecting cooling water and a region on the downstream side thereof are separated by a draining roll, and a draining spray nozzle is arranged on the downstream side of the draining roll to form an upper roll of the draining roll and a steel plate.
  • a technique for injecting high-pressure water from an oblique direction so as to discharge cooling water leaking from a gap formed in a contact portion from one side edge in the width direction of a steel plate is disclosed. Further, in Patent Document 4, a draining nozzle for injecting water is arranged on the downstream side of the draining roll, and the amount of cooling water leaking from the gap formed in the contact portion between the upper roll of the draining roll and the steel plate is adjusted. A technique for changing the momentum of draining water ejected from a draining nozzle is disclosed.
  • Japanese Patent No. 3287245 Japanese Patent No. 652193 Japanese Unexamined Patent Publication No. 2002-316205 Japanese Unexamined Patent Publication No. 2012-51013
  • Patent Document 3 describes that the cooling water leaking from the gap formed in the contact portion between the draining roll and the steel plate is removed by using a draining spray.
  • the amount of leaked water varies depending on the operating conditions such as the flatness and strength of the steel sheet, the thickness of the steel sheet, and the width of the steel sheet. Therefore, if the conditions for draining spray are set uniformly without considering these conditions, the pressure and flow rate for spraying the draining spray will be excessive as a whole, and excess energy will be used to spray the draining spray. Is required, and as a result, the production cost rises.
  • the cooling strain of the steel sheet changes depending on the heat treatment conditions such as the size and strength of the steel sheet and the cooling rate, so that a sufficient effect cannot be obtained depending on the target material.
  • the present invention has been made in view of the above problems, and an object of the present invention is to provide a method for predicting a temperature deviation of a thick steel sheet that can accurately predict the temperature deviation information of the thick steel sheet after passing through a drainer. be. Another object of the present invention is to provide a method for controlling a temperature deviation of a thick steel sheet after passing through a drainer, which can accurately control the temperature deviation of the thick steel sheet within an allowable range. Another object of the present invention is to provide a method for generating a temperature deviation prediction model for a thick steel sheet, which generates a temperature deviation prediction model capable of accurately predicting the temperature deviation information of the thick steel sheet after passing through the drainer. be. Another object of the present invention is to provide a method and equipment for manufacturing a thick steel sheet capable of manufacturing a thick steel sheet having desired characteristics with a high yield.
  • the method for predicting the temperature deviation of a thick steel sheet according to the present invention excludes a water cooling device that cools the thick steel sheet by injecting cooling water onto the heated thick steel sheet and cooling water on the thick steel sheet on the downstream side of the water cooling device.
  • a method for predicting the temperature deviation of a thick steel plate in a heat treatment facility for a thick steel plate including the draining device, wherein at least one operating parameter selected from each of the operating parameters of the water cooling device and the operating parameters of the draining device is selected.
  • the temperature deviation prediction model generated by machine learning using the input data and the temperature deviation information of the thick steel sheet after passing through the drainage device as output data the temperature deviation of the thick steel sheet after passing through the drainage device. Includes steps to predict information.
  • the operation parameters of the water cooling device may include at least one of the cooling stop temperature of the thick steel plate, the amount of cooling water, and the transport speed of the thick steel plate in the water cooling device.
  • the draining device includes a draining roll that restrains the thick steel plate with a pair of upper and lower rolls and a draining purge nozzle that injects a fluid toward a contact portion between the draining roll and the thick steel plate. It may be preferable to include at least one of the reduction position or pressing force of the draining roll and the injection pressure or injection amount of the draining purge nozzle.
  • the method for controlling the temperature deviation of a thick steel sheet according to the present invention predicts the temperature deviation of the thick steel sheet after passing through the drainage device by using the method for predicting the temperature deviation of the thick steel sheet according to the present invention, and the predicted temperature deviation is predetermined. It is characterized by including a step of resetting at least one operation parameter selected from the operation parameters of the drainage device so as to be within the set allowable range.
  • the operation parameters of the draining device to be reset include the reduction position or pressing force of the draining roll that restrains the thick steel plate with a pair of upper and lower rolls, and the fluid is injected toward the contact portion between the draining roll and the thick steel plate. It is preferable that at least one of the injection pressure or the injection amount of the drainer purge nozzle is included.
  • the method for generating the temperature deviation prediction model of the thick steel plate according to the present invention is a water cooling device that cools the thick steel plate by injecting cooling water onto the heated thick steel plate, and cooling on the thick steel plate on the downstream side of the water cooling device. It is a method of generating a temperature deviation prediction model of a thick steel plate in a thick steel plate heat treatment facility equipped with a drainage device for removing water, and is selected from the operation record data of the water cooling device and the operation record data of the drainage device. For multiple learning data, the information including at least one operation record data is input record data, and the temperature deviation information after passing through the drainage device of the thick steel plate corresponding to the input record data is output record data. It includes a step of generating a temperature deviation prediction model of a thick steel plate after passing through the drainage device by the machine learning that has been performed.
  • machine learning it is preferable to use machine learning selected from neural network, decision tree learning, random forest, and support vector regression.
  • the method for manufacturing a thick steel sheet according to the present invention includes a step of manufacturing a thick steel sheet by using the temperature deviation control method for the thick steel sheet according to the present invention.
  • the thick steel sheet manufacturing equipment includes a water cooling device that cools the thick steel sheet by injecting cooling water onto the heated thick steel sheet, and a drainage device that removes the cooling water on the thick steel sheet on the downstream side of the water cooling device.
  • a thick steel sheet manufacturing facility including an apparatus, and includes a temperature deviation prediction unit that outputs temperature deviation information of the thick steel sheet after passing through the drainage device, and the temperature deviation prediction unit operates the water cooling device.
  • the present invention it is possible to provide a method for predicting the temperature deviation of a thick steel sheet that can accurately predict the temperature deviation information of the thick steel sheet after passing through the drainer. Further, according to the present invention, it is possible to provide a method for controlling the temperature deviation of a thick steel sheet after passing through the draining device, which can accurately control the temperature deviation of the thick steel sheet within an allowable range. Further, according to the present invention, it is possible to provide a method for generating a temperature deviation prediction model for a thick steel sheet, which generates a temperature deviation prediction model capable of accurately predicting the temperature deviation information of the thick steel sheet after passing through the drainage device. .. Further, according to the present invention, it is possible to provide a method for manufacturing a thick steel sheet and a manufacturing facility capable of manufacturing a thick steel sheet having desired characteristics with a high yield.
  • FIG. 1 is a diagram showing a schematic configuration of a heat treatment facility for a thick steel plate according to an embodiment of the present invention.
  • FIG. 2 is a diagram showing the configuration of the cooling equipment shown in FIG.
  • FIG. 3 is a block diagram showing the configuration of the control device shown in FIG.
  • FIG. 4 is a flowchart showing the flow of the temperature deviation control process according to the embodiment of the present invention.
  • FIG. 5 is a diagram in which the pass / fail of the temperature deviation when the cooling stop temperature is 140 ° C. and 500 ° C. is arranged by the amount of cooling water on the exit side of the cooling zone and the amount of purge injection.
  • FIG. 6 is a diagram showing an example of the time change of the temperature distribution in the plate thickness direction of the thick steel plate after the cooling is stopped.
  • FIG. 7 is a diagram showing an example of the history of the steel sheet surface temperature in the high temperature steel sheet water cooling process.
  • FIG. 1 is a diagram showing a schematic configuration of a heat treatment facility for a thick steel plate according to an embodiment of the present invention.
  • the thick steel sheet heat treatment facility 1 according to the embodiment of the present invention is an offline type facility, and is a heating furnace 2 and a heating furnace 2 for heating a thick steel sheet S having a temperature of 100 ° C. or lower to a predetermined temperature.
  • Mainly includes a cooling facility 3 for cooling the thick steel plate S heated in the above, a discharge side thermometer 4 for measuring the temperature of the thick steel plate S on the outlet side of the cooling facility 3, and a control device 10 for controlling the operation of the cooling facility 3. It is provided as a component.
  • heating furnace 2 a thick steel plate S that has been hot-rolled to a predetermined thickness (for example, 30 mm) and width (for example, 2000 mm) by a hot rolling line located at a place different from the heat treatment facility 1 and cooled to about room temperature is provided. It is charged.
  • the thick steel plate S is heated to a predetermined temperature (for example, 910 ° C.) in the heating furnace 2.
  • the thick steel plate S extracted from the heating furnace 2 is cooled by the cooling facility 3 while being conveyed by a plurality of table rolls 6 installed on the outlet side of the heating furnace 2.
  • the steel sheet is extracted from the heating furnace 2 and transported at a substantially constant speed until the cooling is completed by the cooling facility 3, so that the cooling start temperature difference at the tip and tail ends of the steel sheet is small. .. That is, if the heating temperature of the steel sheet is T0, the distance from the heating furnace 2 to the cooling facility 3 is L0, and the transfer speed of the steel sheet is V0, the tip of the steel sheet is extracted at the temperature T0 and passes through the cooling time L0 / V0. It will be cooled.
  • the distance L0 from the heating furnace 2 to the cooling equipment 3 is short, so even if the tip of the steel sheet is extracted from the heating furnace 2 and reaches the inlet of the cooling equipment 3, the tail end of the steel plate is still present.
  • the temperature is kept at T0 in the heating furnace 2. Therefore, the tail end portion of the steel sheet is also extracted at the temperature T0 in the same manner as the tip end portion, and is cooled after the cooling time L0 / V0, so that the cooling start temperature can be kept constant over the entire length of the steel sheet.
  • the present invention comprises a heating facility for heating a thick steel sheet, a water cooling device for cooling the thick steel sheet by injecting cooling water onto the thick steel sheet heated by the heating facility, and a thickness on the downstream side of the water cooling device.
  • the main target is a heat treatment facility for thick steel sheets equipped with a drainage device that removes cooling water on the steel sheet.
  • the present invention can also be applied to online heat treatment equipment. In this case, a heating facility for heating the thick steel sheet, a rolling facility for rolling the thick steel sheet heated by the heating facility, a water cooling device for cooling the thick steel sheet rolled to a predetermined plate thickness by the rolling facility, and water cooling.
  • the target is a heat treatment facility for a thick steel plate provided with a drainage device for removing the cooling water on the thick steel sheet on the downstream side of the device.
  • the thick steel plate is in a state of being heated to a high temperature on the entrance side of the water cooling device, which is similar to the offline type heat treatment equipment.
  • the cooling time from immediately after rolling to the start of cooling is longer at the tail end than at the tip of the steel sheet, the length of the steel sheet is L, and the transfer speed of the steel sheet is v.
  • a cooling time difference occurs between the tail end and the tip by the time L / v.
  • the tail end is further cooled by the difference in cooling time, so that the cooling start temperature of the tip and the tail end is different, and the characteristics are uniform over the entire surface. I can't get a good steel plate. Therefore, as will be described later, it is preferable to predict the in-plane temperature deviation of the steel sheet by the temperature deviation prediction model and change the operating conditions of the drainer 32 accordingly.
  • the cooling equipment 3 includes a water cooling device 31 and a draining device 32 for water-cooling the thick steel plate S under predetermined cooling conditions.
  • the water cooling device 31 includes a plurality of pairs of upper cooling nozzles 31a and lower cooling nozzles 31b that are paired vertically with respect to the transport line of the thick steel plate S, arranged at a predetermined pitch along the transport direction of the thick steel plate S. ing.
  • Cooling water 7 is ejected from the cooling nozzles 31a and 31b toward the thick steel plate S.
  • the thick steel plates S are cooled while being conveyed by a plurality of pairs of the thick steel plates S arranged side by side at a predetermined pitch along the conveying direction of the thick steel plates S by the table rolls 6.
  • a cooling section having a pair of cooling nozzles 31a and 31b as a unit is referred to as a cooling zone, and a set of a single or a plurality of cooling zones is referred to as an area.
  • the cooling area (the area where water is cooled by the water cooling device 31) is drawn as a total of 7 cooling zones, but the effect of the present invention is not impaired even if the cooling area is other than the 7 cooling zones.
  • the operation parameters of the water cooling device 31 include the amount of water (cooling water amount) of the cooling water 7 ejected from the pair of cooling nozzles 31a and 31b and the transport speed of the thick steel plate S conveyed by the table roll 6. ..
  • the larger the amount of cooling water the larger the cooling rate and the amount of temperature drop of the thick steel plate S can be.
  • the smaller the transport speed of the thick steel plate S the larger the amount of temperature decrease of the thick steel plate S can be. Further, by combining these operation parameters, it is possible to control the cooling shutdown temperature and the cooling rate as cooling conditions for obtaining a desired material.
  • the operating parameters of the water cooling device 31 include the balance of the amount of cooling water for each cooling zone (for example, increasing the amount of cooling water in the cooling zone on the upstream side and decreasing the amount of cooling water in the cooling zone on the downstream side). May be changed. This is because the cooling rate can be controlled according to the temperature range of the thick steel plate S. Further, the number of cooling zones for injecting cooling water may be changed. The cooling shutdown temperature can be controlled while keeping the cooling rate the same depending on the number of cooling zones used.
  • the amount of cooling water injected from the pair of cooling nozzles 31a and 31b the larger the amount of cooling water, the higher the heat transfer coefficient. Therefore, when controlling the cooling rate within a predetermined range to control the material of the steel sheet, the amount of cooling water To adjust.
  • a slit type nozzle capable of uniformly injecting a large flow rate of cooling water in the width direction or a flat spray nozzle can be used.
  • a porous jet nozzle or a mist nozzle may be used. It is preferable that the cooling nozzle can be variously changed according to the target cooling rate of the cooling water amount density.
  • the draining device 32 includes a pair of upper and lower draining rolls 32a and 32b and a draining purge nozzle 32c arranged on the downstream side of the pair of cooling nozzles 31a and 31b on the outermost side of the cooling area.
  • the draining rolls 32a and 32b are installed to prevent water from getting on the thick steel plate S.
  • the drainer rolls 32a and 32b have a mechanism that can adjust the gap between the rolls. At that time, the lower draining roll 32b can be fixed, and only the upper draining roll 32a can be moved up and down. Further, the drainer roll 32b on the lower side may have a structure that also serves as a part of the table roll 6. It is desirable that the draining rolls 32a and 32b have a structure capable of applying a constant pressing force to the thick steel plate S so that the pressing force can be measured using a load cell. At this time, the drainer rolls 32a and 32b are sometimes called restraint rolls focusing on the function of restraining the thick steel plate S, but they mean the same rolls.
  • the pressing force of the draining rolls 32a and 32b against the thick steel plate S is preferably 4 tons or more, more preferably 6 tons or more, and further preferably 8 tons or more.
  • the pressing force is preferably 20 tons or less.
  • the appropriate pressing force by the drain rolls 32a and 32b at this time is the plate thickness, plate width, steel type, strength of the thick steel plate S to be heat-treated, the amount of cooling water in the water cooling device 31, the transport speed of the thick steel plate S, and the cooling stop temperature.
  • the appropriate range of conditions varies depending on the heat treatment conditions such as cooling rate. This is because the quality of the draining property of the draining rolls 32a and 32b depends on these operating conditions.
  • the mechanism for applying the pressing force by the draining rolls 32a and 32b may be a spring type such as a spring or a mechanism capable of applying a constant pressing force such as pneumatic pressure or hydraulic pressure.
  • a mechanism capable of maintaining a constant pressing force is preferable, and a mechanism having a responsiveness such that the pressing force can be changed in the longitudinal direction of the thick steel plate S is preferable. ..
  • a drainer purge nozzle 32c is installed on the downstream side of the drainer rolls 32a and 32b.
  • the draining purge nozzle 32c is angled in the direction of the draining rolls 32a and 32b so that the cooling water 7 leaking from the gap formed in the contact portion between the draining rolls 32a and 32b and the thick steel plate S does not flow further downstream.
  • inject the drainer purge 32d injects the drainer purge 32d.
  • the drainer purge 32d sprayed on the upper surface of the thick steel plate S is sprayed at an angle in the plate width direction so as to discharge the cooling water 7 on the thick steel plate S toward the end of the plate width.
  • the drainer purge 32d may be a liquid or a gas, and a mixed fluid thereof may be injected. However, when water is used as the draining purge 32d, the temperature deviation of the thick steel plate S may increase, so it is preferable to use gas. Further, from the viewpoint of production cost, it is more preferable to use air.
  • the cooling water 7 that has passed through the draining rolls 32a and 32b is scattered to the surroundings by the air jetted toward the contact portion between the draining rolls 32a and 32b and the thick steel plate S. Therefore, local temperature non-uniformity of the thick steel plate S may occur.
  • water is used for the draining purge 32d, a temperature deviation may occur on the surface of the thick steel plate S. Therefore, it is necessary to set an appropriate injection pressure and injection amount of the drainer purge 32d according to the amount of the cooling water 7 leaking to the downstream side of the drainer rolls 32a and 32b.
  • the injection pressure and injection amount of the proper draining purge 32d are affected by the injection method of the cooling water 7 in the cooling equipment 3.
  • the amount of leaked water is small and the flow velocity of the leaked water is low, so the injection pressure is 0.05 to 0.30 MPa and the injection is per 1 m in width.
  • the amount is preferably 10 to 2000 m 3 / hr (10 to 2000 Nm 3 / hr in the case of gas).
  • the injection pressure is 0.10 to 0.50 MPa and purge per 1 m of width.
  • the injection amount is preferably 50 to 12000 m 3 / hr (50 to 12000 Nm 3 / hr in the case of gas).
  • the draining device 32 is arranged on the downstream side of the water cooling device 31 in the present embodiment, the draining device 32 may be arranged on the upstream side of the water cooling device 31.
  • the drainer purge nozzle 32c, the drainer rolls 32a and 32b, and the water cooling device 31 are installed in this order from the upstream side.
  • the outlet thermometer 4 is installed on the outlet side of the cooling facility 3 and measures the surface temperature of the thick steel plate S cooled by the cooling facility 3.
  • the exit side thermometer 4 is a method of scanning a thermometer in the width direction of the thick steel plate S, a scanning thermometer that scans a temperature measurement point in the width direction of the thick steel plate S, and a plurality of thermometers in the width direction of the thick steel plate S. It is a device for measuring the temperature distribution in the width direction of the thick steel plate S by a method of arranging the thick steel plate S or the like. It is more preferable to use a method of measuring the temperature distribution in the width direction for each position in the longitudinal direction of the thick steel plate S to be conveyed.
  • the data measured by the exit thermometer 4 is converted into temperature deviation information by the temperature deviation information generator 12 (see FIG. 3).
  • the temperature deviation information can adopt any format based on the temperature measurement data.
  • the difference between the maximum value and the minimum value of the temperature distribution in the width direction at any of the positions of the tip portion, the center portion, and the tail end portion in the longitudinal direction of the thick steel plate S, the standard deviation, and the like. Can be defined by.
  • the difference between the maximum value and the minimum value of the in-plane temperature of the thick steel plate S, the standard deviation, or the maximum value of the temperature at each position in the longitudinal direction is taken into consideration not only in the width direction but also in the longitudinal direction.
  • a value obtained by averaging the difference between the minimum value and the minimum value in the longitudinal direction can be used. Furthermore, by limiting these methods to a part of the thick steel plate S, for example, the temperature distribution in the width direction at a position 1.0 m from the tip of the thick steel plate S, and defining the temperature deviation, only the relevant part is centrally managed. You can think of doing it.
  • the above method may be applied using the distribution of specific wavelength components obtained by filtering such as a high-pass filter.
  • the temperature distribution obtained and the heat transfer program are used to simulate the temperature of the steel sheet, the temperature distribution at a location other than the temperature measurement position is estimated, and the temperature deviation is defined by the above method using that value. good.
  • the information of the two-dimensional image in which the in-plane temperature distribution of the thick steel plate S is color-coded into isotherms may be used.
  • the in-plane of the thick steel plate S is divided into regions, and the pass / fail of the temperature deviation is determined for each region according to the magnitude of the temperature deviation in each region, and the result is binarized to provide information on a two-dimensional image. May be used.
  • the temperature distribution in the width direction of the thick steel plate S is functionally approximated, the fluctuation of the higher-order wavelength excluding the primary or secondary wavelength component thereof is extracted, and the amplitude is also used as the temperature deviation information. good.
  • a certain gentle temperature deviation occurs between the widthwise central portion and the widthwise end portion of the thick steel plate S. Therefore, it is assumed that the temperature fluctuations of the higher-order components excluding the lower-order (smooth) temperature fluctuations from the measurement results of the temperature distribution by the output side thermometer 4 are due to the influence of water riding on the downstream side of the drainer 32. Since it can be distinguished, this can also be used as temperature deviation information.
  • the temperature deviation information generated in this way corresponds to the deviation of the material of the thick steel plate S cooled to room temperature after the heat treatment is completed. This is because the temperature after the heat treatment affects the material of the thick steel plate S. Further, this temperature deviation information is useful information for determining the amount of cooling water 7 leaking to the downstream side of the drainer device 32. That is, when the amount of cooling water 7 leaking to the downstream side of the drainer 32 is large, a transition boiling state or a nucleate boiling state is likely to occur, and a large temperature drop is likely to occur at that portion. On the other hand, when the amount of leaked cooling water is small, the water on the thick steel plate S evaporates immediately, and it is difficult to cause non-uniformity in temperature. Therefore, the temperature deviation information can be used to determine the quality of draining in the draining device 32.
  • the control device 10 is composed of a well-known information processing device such as a personal computer, and in addition to size information such as the heating temperature and plate thickness of the thick steel plate S from the host computer 11, the cooling stop temperature required to obtain a desired material is obtained. Get information about the target range (target cooling stop temperature) and the target range of cooling rate (target cooling rate). Then, the control device 10 calculates the operating conditions of the heat treatment equipment 1 for realizing such conditions, and determines the operating parameters of each equipment of the cooling equipment 3.
  • the control device 10 functions as a water-cooled condition calculation unit 10a by executing a computer program.
  • the water cooling condition calculation unit 10a performs heat transfer calculation based on the internal model, and transfers the amount of cooling water and the thick steel plate S in the cooling area so as to satisfy the conditions of the target cooling stop temperature and the target cooling rate set as the cooling conditions. Determine the speed.
  • the command values of the cooling water amount and the transport speed of the thick steel plate S determined in this way are sent from the water cooling operation condition output unit 10b to the water cooling device 31.
  • the water cooling device 31 based on the command values of the amount of cooling water and the transport speed of the thick steel plate S, the operating pressure and the number of operating cooling water pumps, the number of headers provided on the upstream side of the piping system of the cooling nozzles 31a and 31b, and the number of headers provided. A command for the opening degree of the flow rate adjusting valve and the rotation speed of the motor for driving the table roll 6 is generated, and the operating conditions of the water cooling device 31 are determined.
  • control device 10 functions as a draining condition calculation unit 10c by executing a computer program.
  • the draining condition calculation unit 10c determines the operating parameters of the draining device 32 such as the reduction conditions of the draining rolls 32a and 32b and the injection conditions of the draining purge 32d as conditions for preventing watering on the downstream side of the cooling equipment 3. do. It is preferable that the operation parameters of the draining device 32 include the pressing position or the pressing force of the draining rolls 32a and 32b. Further, it is preferable that the injection pressure or the injection amount is included as the injection condition of the drainer purge 32d. The command value of the operation parameter of the drainer device 32 determined in this way is sent from the drainer operation condition output unit 10d to the drainer device 32.
  • the command values such as the reduction conditions of the drainer rolls 32a and 32b and the injection conditions of the drainer purge 32d
  • the command values of the load control and the reduction position control for pressing the drainer rolls 32a and 32b, and the drainer Command values for the pressure and flow rate of the purge 32d are generated, and the operating conditions of the drainer 32 are determined.
  • the database 13 is connected to the control device 10.
  • the database 13 stores the temperature deviation information generated by the temperature deviation information generation device 12.
  • the database 13 is set by the host computer 11 such as the heating temperature of the heat-treated thick steel plate S, the cooling device inlet temperature (cooling start temperature), the plate thickness, the plate width, the steel grade, the target cooling rate, the target cooling stop temperature, and the like. Stores the information to be used.
  • the database 13 includes set values related to the operation parameters of the water cooling device 31 output from the water cooling operation condition output unit 10b (or the water cooling condition calculation unit 10a), and the draining operation condition output unit 10d (or the draining condition calculation unit 10c). The output setting values related to the operation parameters of the drainer device 32 are stored.
  • the database 13 may acquire the actual value of the cooling water amount in the water cooling device 31 and the transport speed of the thick steel plate S by the sensor, and store the actual cooling water amount value and the transport speed actual value. Similarly, the database 13 may store actual values such as the reduction conditions and pressing loads of the drainer rolls 32a and 32b in the drainer device 32, the injection pressure of the drainer purge 32d, and the injection flow rate.
  • the information stored in the database 13 is not limited to the above, and may include actual values such as temperature actual temperature and residence time in each zone such as the heating zone of the heating furnace 2 and the tropics. This is because the surface roughness of the thick steel plate S, the state of the oxide, and the like also affect the wettability of the cooling water and may indirectly affect the drainage property.
  • control device 10 includes a temperature deviation prediction model 10e.
  • the temperature deviation prediction model 10e is a temperature deviation prediction generated by machine learning using the operation performance data associated with the temperature deviation information and the temperature deviation information of at least 20 or more thick steel plates S after the draining process as learning data. It is a model.
  • the number of training data is preferably 500 or more, and more preferably 2000 or more.
  • the input actual data includes at least one operation actual data selected from the operation actual data of the water cooling device 31, and at least one operation actual data selected from the operation actual data of the drainer 32.
  • the output actual data is the temperature deviation information of the thick steel plate after the draining process stored in the database 13 as the temperature deviation information.
  • the operation record parameters of the water cooling device 31 and the draining device 32 are used as the input record data, it is also possible to use the operation parameter setting values determined by the water cooling condition calculation unit 10a and the draining condition calculation unit 10c. good.
  • various information stored in the database 13 can be included in addition to the input actual data. This is because the prediction accuracy of the temperature deviation information is improved by using the operation record data that can directly or indirectly affect the temperature deviation information.
  • the operation record parameters of the water cooling device 31 include one or more of the cooling stop temperature of the thick steel plate S, the amount of cooling water, and the transport speed of the thick steel plate S in the cooling facility 3. Is desirable. This is because when the cooling shutdown temperature is low, the condition tends to be such that a temperature deviation is likely to occur in the cooling region in the nucleate boiling state. Further, the larger the amount of cooling water, the larger the heat transfer coefficient, and the more likely the temperature deviation is to occur. Further, as the transport speed of the thick steel plate S is slower, the cooling stop temperature is lowered and the water flow density in the water cooling device 31 is increased, so that a temperature deviation is likely to occur.
  • the operation record parameter in the drainer device 32 includes at least one operation record parameter of the reduction position or pressing force of the drainer rolls 32a and 32b, and the injection pressure or injection amount of the drainer purge 32d.
  • the flow rate and flow path of the cooling water 7 leaking from between the drainer rolls 32a and 32b and the thick steel plate S change depending on the reduction position or the reduction force of the drainer rolls 32a and 32b, which affects the temperature deviation.
  • the flow rate of the cooling water 7 leaking from between the drainer rolls 32a and 32b and the thick steel plate S and the cooling water discharged from the upper surface of the thick steel plate S to the end in the width direction is because the flow path of No. 7 changes and affects the temperature deviation.
  • the operation record parameter of the drainer device 32 when the injection position and angle of the drainer purge 32d are variable, they may be used as the operation record data for the input record data of the temperature deviation prediction model 10e. Further, when a large number of drainer purge nozzles 32c are arranged in the width direction of the thick steel plate S, the combination of the drainer purge 32d to be used may be used as the input actual data. For example, by setting the injection of the draining purge nozzle 32c to every other one or using only the draining purge nozzle 32c arranged at the end in the width direction, leakage occurs between the draining rolls 32a and 32b and the thick steel plate S.
  • the input actual data includes at least one operation actual data selected from each of the operation actual data of the water cooling device 31 and the operation actual data of the drainer 32.
  • the reason why both the operation performance parameters of the water cooling device 31 and the draining device 32 are included in this way is that the larger the amount of water in the cooling water 7 injected by the water cooling device 31, the more from between the draining rolls 32a and 32b and the thick steel plate S. This is because the flow rate of the leaking cooling water 7 increases, so that it is necessary to set the pressing force of the draining rolls 32a and 32b higher and to increase the injection pressure of the draining purge 32d.
  • the temperature deviation prediction model 10e may be updated to a new model by re-learning, for example, every month or every year. This is because the more data stored in the database 13, the more accurate the temperature deviation prediction becomes possible.
  • the machine learning model for generating the temperature deviation prediction model 10e may be any machine learning model as long as the temperature deviation can be predicted practically sufficient. For example, commonly used neural networks, decision tree learning, random forests, support vector regression, and the like may be used. Further, an ensemble model in which a plurality of models are combined may be used. Further, as the temperature deviation prediction model 10e, it is determined whether or not the temperature deviation is within the allowable range of the predetermined temperature deviation, not the value of the temperature deviation of the thick steel plate S, and the result is binarized as pass / fail.
  • a machine learning model may be used in which the generated data is used as output actual data. In this case, classification models such as the k-nearest neighbor method and logistic regression can be used.
  • the control device 10 executes the temperature deviation control process shown below, so that the temperature deviation of the thick steel plate S on the outlet side of the cooling equipment 3 is within a preset allowable range. Control.
  • the operation of the control device 10 when executing the temperature deviation control process according to the embodiment of the present invention will be described with reference to FIG.
  • FIG. 4 is a flowchart showing a flow in the temperature deviation control process according to the embodiment of the present invention.
  • the flowchart shown in FIG. 4 starts at the timing when the host computer 11 inputs information on the specifications and manufacturing conditions of the thick steel plate S to be processed by the heat treatment equipment 1 to the control device 10, and the temperature deviation control process is performed in step S1. Proceed to the processing of.
  • step S1 the water cooling condition calculation unit 10a sets water cooling operation conditions such as the amount of cooling water and the transport speed of the table roll 6 so as to satisfy the target cooling stop temperature range and cooling rate range. As a result, the process of step S1 is completed, and the temperature deviation control process proceeds to the process of step S2.
  • the drainer condition calculation unit 16 sets the initial conditions of the drainer operation conditions such as the reduction condition of the drainer rolls 32a and 32b and the injection condition of the drainer purge 32d.
  • the initial conditions of the draining operation conditions can be set by the table values classified by the manufacturing conditions such as the plate thickness, the plate width, and the steel type of the thick steel plate S to be processed.
  • a relationship obtained from the experience of operation may be arranged by an approximate formula.
  • step S3 the control device 10 uses the initial conditions of the water cooling operation conditions and the drainage operation conditions set in the processes of steps S1 and S2, the specifications of the required thick steel plate S, the manufacturing conditions, and the like as input data.
  • the temperature deviation prediction result of the thick steel plate S on the outlet side of the water cooling device 31 and the draining device 32 is calculated by the temperature deviation prediction model 10e.
  • the process of step S3 is completed, and the temperature deviation control process proceeds to the process of step S4.
  • the control device 10 compares the temperature deviation prediction result calculated in the process of step S3 with the temperature deviation allowable range determined according to the steel type, size, etc., and the predicted temperature deviation is the allowable range. Determine if it is inside.
  • the temperature deviation permissible range is 0 to 60 ° C. as the standard when the temperature deviation is defined by the difference between the maximum and minimum values of the temperature from the viewpoint of making the mechanical properties of the thick steel plate S uniform in the plane of the thick steel plate S. When defined by deviation, 0 to 40 ° C. is preferable. However, these allowable values may be adjusted according to the range of allowable mechanical characteristics required for the product.
  • the allowable range of temperature deviation is also narrowed to have more uniform mechanical characteristics in the plane.
  • the thick steel plate S can be manufactured.
  • the allowable temperature deviation range is preferably 0 to 30 ° C. when defined by the difference between the maximum and minimum values of the temperature, and 0 to 15 ° C. when defined by the standard deviation.
  • step S4 when the temperature deviation is within the permissible range (step S4: Yes), the control device 10 uses the heat treatment equipment 1 according to the initial conditions of the water cooling operation conditions and the drainage operation conditions set in the processes of steps S1 and S2.
  • the thick steel plate S is heat-treated by controlling the above, and a series of temperature deviation control processes is completed.
  • step S4: No when the temperature deviation is not within the allowable range (step S4: No), the control device 10 advances the temperature deviation control process to the process of step S5.
  • step S5 the control device 10 resets the initial conditions of the water cooling operation condition and the draining operation condition so that the temperature deviation is within the allowable range. Then, the control device 10 heat-treats the thick steel plate S by controlling the heat treatment equipment 1 according to the reset operating conditions. It is desirable that the draining operation conditions to be changed are at least one of the reduction position or pressing force of the draining rolls 32a and 32b and the injection pressure or injection amount of the draining purge 32d. As a result, appropriate draining operation conditions can be realized according to the attributes and manufacturing conditions of each thick steel sheet S.
  • the operating conditions of the drainer 32 may be changed according to the change in the temperature deviation in the direction. Further, when resetting the operating conditions, it may be performed to confirm whether or not equipment problems such as damage to the drainer rolls 32a and 32b and clogging of the drainer purge nozzle 32c have occurred. As a result, the process of step S5 is completed, and the series of temperature deviation control processes is completed.
  • a thick steel sheet S in a room temperature state from which scale has been removed by shot blasting in advance is heated in a heating furnace 2 to 920 ° C. in a nitrogen atmosphere, and then the heating furnaces 2 to 2.
  • the cooling equipment 3 is arranged on the outlet side of the heating furnace 2, and inside the cooling equipment 3, cooling nozzles 31a and 31b constituting the water cooling device 31 and draining rolls 32a and 32b constituting the draining device 32 are installed.
  • Flat spray nozzles were used as the cooling nozzles 31a and 31b, and an air purge (arrangement shown in FIG.
  • the relationship between the temperature deviation and the manufacturing conditions and draining conditions was confirmed in advance for the case where the thick steel plate S having a plate thickness of 25 mm was cooled and stopped at 140 ° C. and the case where the cooling was stopped at 500 ° C.
  • the amount of cooling water in the final (most outlet) cooling zone from the plurality of cooling zones is used as the operation parameter of the water cooling device 31, and the purge injection amount is used as the operation parameter of the draining device 32.
  • the amount of cooling water and the transport speed were controlled so that the cooling stop temperature was 140 ° C. and 500 ° C. ..
  • the cooling nozzles used for cooling were all fixed in 7 cooling zones regardless of the cooling shutdown temperature. At that time, by changing the conditions for the amount of cooling water in the final cooling zone within a range of up to 2000 L / min per 1 m of width and controlling the amount of cooling water and the transport speed in the cooling zone on the upstream side, the cooling shutdown temperature becomes the target value. Adjustments were made to match.
  • FIGS. 5A and 5B show the pass / fail of the temperature deviation obtained by the prior confirmation by the amount of cooling water on the exit side of the cooling zone and the amount of purge injection. As shown in FIGS. 5A and 5B, in both cases of the cooling stop temperature of 140 ° C. and the cooling stop temperature of 500 ° C., the purge injection amount required to pass the temperature deviation increases as the amount of cooling water increases. You can see that it will go on.
  • the leakage momentum increases as the cooling water amount increases, and the purging momentum is required in response to it.
  • the cooling stop temperature is 140 ° C.
  • the required purge injection amount can be reduced even under the same condition of the cooling water amount. This is because when the cooling stop temperature is high, a steam film is interposed between the cooling water and the steel plate and the film is in a boiling state, so it is easy to purge the leaked water, and even if the cooling water leaks, it is cooled in the film boiling state. It is probable that the temperature deviation did not increase due to the low capacity.
  • the cooling shutdown temperature was 140 ° C.
  • the relationship between the manufacturing conditions and the temperature deviation was confirmed with respect to the conditions surrounded by the dotted line in FIG. 5 (a).
  • the draining rolls 32a and 32b arranged at the outlet of the final cooling zone in the cooling area and the air purge were operated.
  • the amount of cooling water and the transport speed were controlled so that the cooling shutdown temperature became 140 ° C.
  • the cooling nozzles used for cooling were all fixed in 7 cooling zones regardless of the cooling shutdown temperature.
  • the amount of cooling water and the transport speed were all the same under the conditions inside the dotted line.
  • only the injection amount of the drainer purge 32d was used as the operation parameter of the drainer device 32, and the experiment was conducted after preparing all the parameters other than the purge injection amount and the parameters that change with it.
  • a neural network in which the operation parameters of the heat treatment equipment 1 including the operation parameters of the water cooling device 31 and the drainage device 32 obtained from the preliminary examination are used as input data, and the temperature deviation information measured by the above method is used as output data.
  • a learning model using a network was created.
  • the temperature deviation information a value obtained by subtracting the minimum value from the maximum value among the surface temperatures measured for the entire surface of the thick steel plate S was used. As a result, it was calculated that the purge injection amount should be 1000 NL / min or more per 1 m of width in order to reduce the temperature deviation after cooling to 30 ° C. or less.
  • the purge injection amount should be 1000 NL / min or more per 1 m of width in order to reduce the temperature deviation after cooling to 30 ° C. or less.
  • the present invention it is possible to provide a method for predicting the temperature deviation of a thick steel sheet that can accurately predict the temperature deviation information of the thick steel sheet after passing through the drainer. Further, according to the present invention, it is possible to provide a method for controlling the temperature deviation of a thick steel sheet after passing through the draining device, which can accurately control the temperature deviation of the thick steel sheet within an allowable range. Further, according to the present invention, it is possible to provide a method for generating a temperature deviation prediction model for a thick steel sheet, which generates a temperature deviation prediction model capable of accurately predicting the temperature deviation information of the thick steel sheet after passing through the drainage device. .. Further, according to the present invention, it is possible to provide a method for manufacturing a thick steel sheet and a manufacturing facility capable of manufacturing a thick steel sheet having desired characteristics with a high yield.

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PCT/JP2021/014115 2020-05-15 2021-04-01 厚鋼板の温度偏差予測方法、厚鋼板の温度偏差制御方法、厚鋼板の温度偏差予測モデルの生成方法、厚鋼板の製造方法、及び厚鋼板の製造設備 Ceased WO2021229949A1 (ja)

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EP21804597.9A EP4151326A4 (en) 2020-05-15 2021-04-01 METHOD AND APPARATUS FOR TEMPERATURE VARIATION PREDICTION FOR THICK STEEL PLATE
JP2021526790A JPWO2021229949A1 (https=) 2020-05-15 2021-04-01
CN202180033727.8A CN115529821A (zh) 2020-05-15 2021-04-01 厚钢板的温度偏差预测方法、厚钢板的温度偏差控制方法、厚钢板的温度偏差预测模型的生成方法、厚钢板的制造方法及厚钢板的制造设备
BR112022023144A BR112022023144A2 (pt) 2020-05-15 2021-04-01 Método de previsão de desvio de temperatura em placa de aço espessa, método de controle de desvio de temperatura em placa de aço espessa, método de geração de modelo de previsão de desvio de temperatura para placa de aço espessa, método de produção de placa de aço espessa e equipamento de produção de placa de aço espessa
KR1020227036185A KR20220152392A (ko) 2020-05-15 2021-04-01 후강판의 온도 편차 예측 방법, 후강판의 온도 편차 제어 방법, 후강판의 온도 편차 예측 모델의 생성 방법, 후강판의 제조 방법, 및 후강판의 제조 설비

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