EP3865226A1 - Détermination de la sensibilité d'une grandeur cible d'une matière à laminer par une grandeur de fonctionnement d'une voie de laminage à chaud - Google Patents

Détermination de la sensibilité d'une grandeur cible d'une matière à laminer par une grandeur de fonctionnement d'une voie de laminage à chaud Download PDF

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Publication number
EP3865226A1
EP3865226A1 EP20156622.1A EP20156622A EP3865226A1 EP 3865226 A1 EP3865226 A1 EP 3865226A1 EP 20156622 A EP20156622 A EP 20156622A EP 3865226 A1 EP3865226 A1 EP 3865226A1
Authority
EP
European Patent Office
Prior art keywords
target
section
values
value
hot rolling
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.)
Withdrawn
Application number
EP20156622.1A
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German (de)
English (en)
Inventor
Hans-Ulrich LÖFFLER
Klaus Weinzierl
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Primetals Technologies Germany GmbH
Original Assignee
Primetals Technologies Germany GmbH
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 Primetals Technologies Germany GmbH filed Critical Primetals Technologies Germany GmbH
Priority to EP20156622.1A priority Critical patent/EP3865226A1/fr
Priority to US17/798,595 priority patent/US20230089119A1/en
Priority to PCT/EP2021/051350 priority patent/WO2021160404A1/fr
Priority to EP21700961.2A priority patent/EP4103339B1/fr
Priority to CN202180013992.XA priority patent/CN115066300A/zh
Publication of EP3865226A1 publication Critical patent/EP3865226A1/fr
Withdrawn legal-status Critical Current

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Classifications

    • 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
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/16—Control of thickness, width, diameter or other transverse dimensions
    • 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
    • B21B37/58—Roll-force control; Roll-gap control
    • 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
    • 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
    • C21D8/00—Modifying the physical properties by deformation combined with, or followed by, heat treatment
    • C21D8/02—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips
    • C21D8/0247—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips characterised by the heat treatment
    • C21D8/0263—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips characterised by the heat treatment following hot rolling
    • 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
    • C21D9/00—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
    • C21D9/46—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor for sheet metals
    • 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
    • C21D9/00—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
    • C21D9/52—Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor for wires; for strips ; for rods of unlimited length
    • C21D9/54—Furnaces for treating strips or wire
    • C21D9/56—Continuous furnaces for strip or wire
    • C21D9/573—Continuous furnaces for strip or wire with cooling
    • 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
    • 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
    • C21D1/00—General methods or devices for heat treatment, e.g. annealing, hardening, quenching or tempering
    • C21D1/56—General methods or devices for heat treatment, e.g. annealing, hardening, quenching or tempering characterised by the quenching agents
    • C21D1/60—Aqueous agents
    • 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
    • C21D1/00—General methods or devices for heat treatment, e.g. annealing, hardening, quenching or tempering
    • C21D1/62—Quenching devices
    • C21D1/667—Quenching devices for spray quenching

Definitions

  • the present invention is further based on a computer program for a control device of a section of a hot rolling mill for treating a large number of rolled goods, the computer program comprising machine code that can be processed by the control device, the processing of the machine code by the control device causing the control device to respond executes such operating method.
  • the present invention is further based on a control device of a section of a hot rolling train for treating a large number of rolled goods, the control device being programmed with such a computer program so that the control device executes such an operating method during operation.
  • the present invention is further based on a section of a hot rolling train for treating a plurality of rolled goods, the section of the hot rolling train being controlled by such a control device.
  • a plurality of flat rolled products are treated one after the other.
  • the primary data and the target values for the target variables of the respective rolling stock are fed to a model of the section of the hot rolling train.
  • operating values are determined for the section of the hot rolling train in such a way that the respective rolling stock reaches the target values of the target variables as well as possible after passing through the section of the hot rolling train.
  • a hot rolling train can have a finishing train, which is followed by a cooling section.
  • the cooling section is viewed as a section of the hot rolling train
  • one of the target variables can, for example, be the coiling temperature which the flat rolled material should have after it has passed through the cooling section.
  • the associated setpoint can be 600 ° C, for example.
  • the associated operating value can be the number of valves that have to be switched in order to bring about the required cooling of the flat rolling stock.
  • the number of switched valves is the actuator in this case.
  • the corresponding operating value can be 10 valves, for example.
  • Another target variable can also be specified, for example a certain material property of the flat rolled stock.
  • material properties are the yield strength, the yield strength, the breaking strength and others.
  • the coiling temperature can also be viewed as the operating value of the section of the hot rolling train.
  • Measurements are taken during the passage of the respective flat rolled stock through the section of the hot rolling train.
  • the manipulated variables of the section of the hot rolling mill are tracked. If, for example, a reel temperature of 600 ° C is specified as the target variable and the manipulated variable is the number of switched valves, the reel temperature can be recorded from the point in time at which the start of the respective flat rolled material reaches a temperature measuring station downstream of the cooling section. If there is a discrepancy in this case, the control of the valves of the cooling section is adjusted. If the corresponding point of the flat rolling stock is not at 600 ° C, for example, but 610 ° C, a further valve is switched on so that the flat rolling stock is cooled via 11 valves. Conversely, if the corresponding point on the flat rolling stock is not at 600 ° C but at 590 ° C, a valve is switched off so that the flat rolling stock is only cooled by 9 valves.
  • sampling of the flat rolled stock that has now been treated can still be carried out.
  • a material sample can be taken and examined with regard to microscopic material properties such as structure or grain size and macroscopic material properties such as tensile strength, yield point and elongation at break.
  • the prior art has attempted to determine such relationships. For example, an attempt was made to create a model of the cooling section of a hot rolling mill, by means of which the resulting target variables can be determined given the given primary data and given operating values.
  • the target parameters were, for example, macroscopic material properties such as tensile strength, yield point and elongation at break. By varying the operating values accordingly, "correct" operating values could then be determined in order to achieve the desired target values.
  • the model of the cooling section was in some cases an analytical model based on mathematical-physical equations. In other cases, such an analytical model was corrected, supplemented or replaced by a neural network. The neural network naturally had to be trained accordingly.
  • the model was used, for example, to calculate a reel temperature, which the respective flat rolled material should have in order to have the desired macroscopic material properties, before the respective flat rolled material passes through the cooling section.
  • the respective flat rolled stock was then cooled in the cooling section in such a way that it had the determined coiling temperature.
  • the prior art approach has significant systematic errors.
  • manipulated variables are continuously updated via control loops.
  • the reel temperature is recorded and the amount of cooling water that is applied to the respective flat rolled material is tracked.
  • the determined setpoint of the reel temperature is maintained as closely as possible.
  • the setpoint values for the target variable for a given target point can be determined very precisely.
  • the model very quickly becomes inaccurate and faulty if other setpoint values are specified for the target variables and / or other primary data are available.
  • the extent of cooling for example the number of switched valves
  • the respectively measured reel temperature are entered in a diagram.
  • the diagram shows, for example, the degree of cooling in the direction of the x-axis, the reel temperature in the direction of the y-axis.
  • a regression line is then determined.
  • the model calculation and the activation of the valves in the cooling section based on it would be correct.
  • a malfunction must have occurred at some point.
  • the disorder as such does not have to be known. But it is there.
  • This disturbance is corrected by adjusting the cooling in the cooling section.
  • the correlation that can be seen in the diagram therefore shows the correlation between the reel temperature on the one hand and the extent of cooling, including the fault that has occurred, on the other hand.
  • the disturbance would have to be eliminated.
  • the correlation between the reel temperature on the one hand and the degree of cooling without the disturbance that has occurred on the other hand would have to be determined.
  • the object of the present invention is to create possibilities by means of which the sensitivity of a particular target variable for flat rolling stock can be determined from operating variables of a section of a hot rolling train.
  • the variation of the associated operating values is also only stochastically dependent on the respective final setpoint of the particular target variable.
  • the control device is supplied with an actual value of a state variable of the rolling stock, for example the respective reel temperature.
  • the state variable is one of the special target variables, so that a desired value of the state variable corresponds to the final desired value of this particular target variable.
  • a setpoint value is entered directly is specified for the reel temperature.
  • the state variable it is possible for the state variable to be correlated with the at least one special target variable, so that a setpoint value of the state variable is determined by the final setpoint value of the at least one special target variable.
  • control device can track at least one operating value with which the state variable is influenced in order to compensate for the deviation of the actual value of the state variable from the desired value of the state variable. For example, the number of switched valves in a cooling section can be changed in order to set a specific reel temperature.
  • the state variable correlated with the particular target variable can be the reel temperature on the output side of the cooling section and can also be an operating value, the number of activated valves in the cooling section and / or the extent of the activation of valves in the cooling section.
  • this is not absolutely necessary.
  • the offsets can be determined as required.
  • the respective target value of the particular target variable in that the respective preliminary target value is increased by a predetermined value for some of the flat rolled goods and reduced by the same value for the other flat rolled goods. If necessary, it can also be divided into three, so that the respective preliminary setpoint value of the respective special target variable is also adopted unchanged as the respective final setpoint value for some of the flat rolled goods.
  • the respective preliminary setpoint is uniform and the particular target variable is the reel temperature: In the context of both examples, assume that a model calculation results in a reel temperature of 600 ° C to produce a material that is actually desired. In this case, the specified 600 ° C corresponds to the provisional setpoint.
  • the operating values can sometimes be updated during the passage of the respective rolling stock through the section of the hot rolling train.
  • the actual value of the state variable corresponds exactly or only with a very small scatter to the setpoint value of the state variable.
  • the operating values vary, based on a specific final setpoint value of a particular target variable, with a respective statistical spread.
  • the offsets are preferably selected in such a way that the mean values of the at least one operating value for the respective final setpoint of this target variable are less than the spread, in particular less than half the spread, of that mean value of the at least one operating value that results when using the respective preliminary setpoint as the final setpoint of this particular target variable.
  • the actual value which would result from using the respective preliminary setpoint as the respective final setpoint, varies with a statistical spread in return, based on a respective special target variable .
  • the respective offset for this particular target variable it is therefore also possible for the respective offset for this particular target variable to be smaller than this spread, in particular smaller than half of this spread.
  • the section of the hot rolling train includes a cooling section and one of the particular target variables is the coiling temperature of the rolling stock on the outlet side of the cooling zone or correlates with the coiling temperature of the rolling stock on the outlet side of the cooling zone.
  • the number of activated valves in the cooling section and / or the extent to which valves in the cooling section are activated can be influenced by at least one of the operating values.
  • the particular target variable itself can be the reel temperature on the output side of the cooling section.
  • at least one of the particular target variables is a microscopic or a macroscopic material property of the respective rolled stock.
  • the reel temperature or the number of activated valves in the cooling section and / or the extent to which valves in the cooling section are activated can be influenced directly by the operating values.
  • a microscopic material property can be, for example, the microstructure or the grain size.
  • a macroscopic material property can be, for example, the tensile strength, the yield point or the elongation at break.
  • the object is also achieved by a computer program with the features of claim 7.
  • the processing of the computer program by the control device causes that the control device executes an operating method according to the invention.
  • control device of a section of a hot rolling train for treating a large number of rolled goods with the features of claim 8.
  • the control device is programmed with a computer program according to the invention, so that the control device executes an operating method according to the invention during operation.
  • the object is also achieved by a section of a hot rolling train for treating a large number of rolled goods with the features of claim 9.
  • the section of the hot rolling mill is controlled by a control device according to the invention.
  • a hot rolling mill for treating rolled products 1 made of metal is formed.
  • Rolled goods 1 made of steel. In some cases, however, they can also consist of aluminum or another metal.
  • the rolling stock 1 is, as shown in FIGS. 1 and 2 can be seen, flat rolled goods. As a rule, the rolled goods are 1 strips. However, it can alternatively also be heavy plate.
  • the hot rolling mill has at least one roll stand 2. Often even several roll stands 2 are arranged sequentially one behind the other.
  • the roll stands 2 can form a multi-stand finishing train, for example. In many cases, the roll stand 2 (or, in the case of several roll stands 2, the last roll stand 2) is followed by a cooling section. Of the roll stands 2 are in the FIGS. 1 and 2 only the work rolls shown. The roll stands 2 often have additional back-up rolls and possibly also further rolls.
  • the cooling section generally has a plurality of cooling devices 3. A liquid coolant is fed to the cooling devices 3 via valves 4. The coolant is usually water. In some cases it is also water with certain additives. In the FIGS. 1 and 2 only cooling devices 3 above the rolling stock 1 are shown.
  • cooling devices 3 are provided both above and below the rolling stock 1.
  • the rolling stock 1 can be rolled in the roll stands 2 and / or cooled by means of the cooling devices 3 of the cooling section. Both the rolling and the cooling correspond to a treatment of the rolled goods 1.
  • the hot rolling mill also has a reel device with at least one reel 5.
  • the reel device is arranged downstream of the roll stands 2 in each case. If the cooling section is available, the reel device is also arranged downstream of the cooling section. In this case, the cooling section is arranged between the roll stands 2 and the reel device.
  • the hot rolling train can furthermore also have units which are arranged upstream of the rolling stands 2.
  • An example of such a device is a descaling device.
  • the hot rolling mill thus has at least one section. It is possible that the rolling stands 2 or the finishing train are viewed together with the cooling section and / or at least one upstream device as a section of the hot rolling train. Alternatively, it is possible to view only the rolling stands 2 or the finishing train as a section of the hot rolling train. It is also possible to view only the cooling section or only the upstream device as a section of the hot rolling mill. In the following, the cooling section is considered as a section of the hot rolling mill. However, this is not absolutely necessary.
  • the section of the hot rolling mill is controlled by a control device 6.
  • the control device 6 controls in particular the valves 4 of the cooling devices 3.
  • the control device 6 can also control at least one pump (not shown), by means of which the working pressure and / or the coolant flow are set.
  • the control device 6 can also control further parts of the hot rolling train such as, for example, the roll stands 2 and the reel 5 or the reel 5.
  • the control device 6 is programmed with a computer program 7.
  • the computer program 7 comprises machine code 8 which can be processed by the control device 6.
  • the processing of the machine code 8 by the control device 6 has the effect that the control device 6 controls the section of the hot rolling mill in accordance with an operating method which will be explained in more detail below.
  • the flat rolled products 1 are treated one by one. As far as the direct control of the section of the hot rolling train is concerned, this control is therefore carried out individually for a single flat rolling stock 1. This control will below in connection with FIG 3 explained for a single flat rolling stock 1.
  • the control device 6 receives its primary data PD for a respective flat rolling stock 1.
  • the primary data PD describe the respective rolling stock 1 before it is fed to the section of the hot rolling train.
  • the primary data PD can include, for example, the chemical composition of the flat rolling stock 1, its final rolling temperature T1, its thickness, its width and the final rolling speed v.
  • the primary data PD thus answer the question of which material is to be treated in the section of the hot rolling train and / or which condition the rolling stock 1 has when it is fed to the section of the hot rolling train.
  • the final rolling temperature T1 can, for example, instantaneously by means of a corresponding temperature measuring station 9 (see FIG FIGS. 1 and 2 ) can be recorded.
  • the control device 6 receives preliminary setpoint values Z * for target variables for the rolling stock 1.
  • the preliminary setpoint values Z * of the target variables describe properties of the respective rolling stock 1 that it should have after it has passed through the section of the hot rolling train. These properties are therefore sought after.
  • the target variables or their preliminary setpoint values Z * therefore answer the question of which properties the rolling stock 1 should have after passing through the section of the hot rolling train and / or which state the respective rolling stock 1 should then have.
  • the target variables can be, for example, macroscopic or microscopic material properties of the flat rolled stock 1.
  • a macroscopic material property can be, for example, the tensile strength, the yield point or the elongation at break.
  • a microscopic material property can be, for example, the microstructure or the grain size.
  • the reel temperature T2 is a target value.
  • At least one of the target variables is a special target variable. It is conceivable that the control device 6 itself determines which of the target variables are particular target variables. As a rule, however, the control device 6 is given which of the target variables are particular target variables.
  • the specification can be made, for example, within the framework of the computer program 7 or by an operator (not shown).
  • control device 6 changes the respective preliminary setpoint Z * by an offset ⁇ Z in a step S3 and thus determines a respective final setpoint Z ′ *.
  • the control device 6 determines the respective offset ⁇ Z itself.
  • the control device 6 - for example within the framework of the computer program 7 or by the operator - is generally given a framework within which the control device 6 determines the respective offset ⁇ Z itself.
  • the control device 6 can be given a maximum amount of the offset ⁇ Z within which the control device 6 randomly defines a value.
  • the control device 6 can be given several specific possible values for the offset ⁇ Z and for the control device 6 to select one of these values.
  • the respective offset ⁇ Z of the control device 6 is specified by the operator. Regardless of the type of definition of the offset ⁇ Z, however, the offset ⁇ Z is determined independently of the primary data PD and also independently of the other target variables.
  • control device 6 directly takes over the respective preliminary setpoint Z * as the respective final setpoint Z ′ * in a step S4.
  • the control device 6 determines operating values A of the section of the hot rolling mill in a step S5.
  • the determination takes place in such a way that the respective rolling stock 1, after passing through the section of the hot rolling train, reaches the final setpoint values Z ′ * of the target variables as well as possible.
  • the operating values A thus indicate how the section of the hot rolling train must be controlled in order to achieve the final setpoint values Z ′ * of the target variables for the rolling stock 1 given the primary data PD. At least that is what is expected.
  • the control device 6 can use the primary data PD and the final setpoint values Z * of the target variables as shown in FIG FIG 1 feed a model 10 of the section of the hot rolling mill.
  • the operating values A are determined by means of the model 10.
  • the model 10, if it is available, is implemented in the control device 6 in particular due to the processing of the machine code 8.
  • a step S6 the control device 6 controls the section of the hot rolling train. This control takes place when the corresponding flat rolling stock 1 is being treated, that is to say in particular while the respective rolling stock 1 is running through the section of the hot rolling train.
  • the control device 6 operates the section of the hot rolling mill in the context of step S6 according to the determined operating values A. It thus controls the actuators of the section of the hot rolling mill - for example the valves 4 of the cooling devices 3 - according to the determined operating values A.
  • States which the rolling stock 1 has after treatment in the section of the hot rolling train can alternatively be target variables or operating values A.
  • a state which the rolling stock 1 has after the treatment in the section of the hot rolling train can therefore not be a target variable at the same time and be an operating value A.
  • the reel temperature T2 can alternatively be a target variable or an operating value A. If the coiler temperature T2 is one of the operating values A, the target variables are generally mechanical properties of the rolling stock 1 that the rolling stock 1 should have after the treatment in the section of the hot rolling train.
  • the operating values A can be determined as required.
  • these can be values that correspond directly to manipulated variables for the actuators of the hot rolling mill.
  • one of the manipulated variables can be the number of valves 4 that are opened so that the corresponding cooling devices 3 apply the coolant to the flat rolling stock 1.
  • it can be the extent to which the valves 4 are opened - similar to this, but not completely identical.
  • step S1 After the rolling stock 1 has been treated, the control device 6 goes back to step S1.
  • the steps S1 to S6 are therefore carried out iteratively again and again for a new rolling stock 1. It is important here that - in relation to the particular target variable in each case - the offset ⁇ Z that is used in the respective execution of step S3 is not always the same. Viewed over the entirety of rolled goods 1, the offset ⁇ Z for a certain particular target variable thus has several different values. This applies to any particular target.
  • the offset ⁇ Z always has one of two values, the two values being equal in terms of amount. If, for example, a target variable is the coiling temperature T2, the provisional target value T2 * for the coiling temperature T2 can be increased by a certain amount - for example 5 K or 10 K - for some of the flat rolled products 1 and reduced by the same amount for others of the flat rolled products 1 will. In another simple case, the Offset ⁇ Z always has one of three values, where one of the values is 0 and the other two values are different from 0 and have the same amount.
  • the provisional setpoint T2 * for the reel temperature T2 can be kept unchanged for some of the flat rolled products 1, for others of the flat rolled products 1 increased by a certain amount - for example 5 K or 10 K - and for others again for the flat rolled products 1 can be reduced by the same amount.
  • the offset ⁇ Z always has one of two values, one of the values being 0 and the other value being different from 0.
  • the offset ⁇ Z can be determined by means of a random generator.
  • a pair of values is known to the computing device 4 in a step S11 for the rolled goods 1 treated.
  • One value of the respective pair of values is the respective final target value Z '* of the particular target variable.
  • the other value of the respective pair of values is the associated operating value A, corresponding to which the section of the rolling train was operated during the treatment of the respective rolling stock 1.
  • a step S12 the computing device selects one of the final setpoint values Z ′ * of the particular target variable.
  • step S13 the computing device selects those pairs of values whose final target value corresponds to the final target value Z ′ * selected in step S12.
  • step S15 the computing device checks whether it has already carried out steps S12 to S14 for all final setpoint values Z ′ * of the particular target variable. If this is not the case, the computing device goes back to step S12. When step S12 is carried out again, the computing device selects a new final setpoint value Z ′ * of the particular target variable, which it selects as part of the procedure from FIG 4 has not yet selected. Otherwise, the computing device goes to a step S16.
  • step S16 the computing device uses the determined mean values AM and the respectively associated setpoint values Z ′ * of the particular target variable to determine a sensitivity S of the particular target variable from the operating variable. For example, the computing device can be shown in FIG FIG 5 a linear regression as part of step S16 and determine the slope of the resulting straight line as the sensitivity S.
  • FIG 6 shows an alternative to the procedure of FIG 4 .
  • step S21 essentially corresponds to step S11 of FIG FIG 4 . It differs from step S11, however, in that in step S21, the actual values Z of the particular target variable (also) become known to the computing device as an alternative or in addition to the final setpoint values Z ′ *.
  • the actual values Z can be determined by sampling and fed to the computing device.
  • a state variable for example the reel temperature T2
  • Step S22 the computing device selects one of the final setpoint values Z ′ * of the particular target variable (if known) or a specific, mostly relatively small value range for the actual value Z.
  • Step S22 essentially corresponds to step S2 from FIG FIG 4 .
  • a step S23 the arithmetic unit selects those value pairs whose final target value corresponds to the final target value Z ′ * selected in step S22 or whose actual value is in the selected value range.
  • the step S23 corresponds essentially to the step S13 of FIG FIG 4 .
  • step S26 the computing device checks whether it has already carried out steps S22 to S25 for all final setpoint values Z ′ * of the particular target variable or all value ranges of the associated actual value Z. If this is not the case, the computing device goes back to step S22. When step S22 is carried out again, the computing device selects a new final setpoint value Z ′ * of the particular target variable, which it selects as part of the procedure of FIG 6 has not yet selected, or another value range of the actual variable Z that you have selected as part of the procedure of FIG 6 has not yet selected. Otherwise, the computing device goes to a step S27. Step S26 essentially corresponds to step S15 from FIG FIG 4 .
  • a step S27 the computing device uses the determined mean values AM of the tracked control values A0 and the respective associated mean values ZM of the actual values Z of the particular target variable to determine the sensitivity S of the particular target variable of the operating variable.
  • the computation device can perform a linear regression analogous to step S16 and determine the slope of the resulting straight line as sensitivity S.
  • the sensitivity S of the particular target variable from the operating variable is thus determined using the setpoints or the mean values of the actual values of the particular target variable and the average values of the setpoints or actual values of the operating values A.
  • the procedure according to FIG 4 is particularly useful when the actual value Z of the particular target variable is already recorded during the passage of the respective rolling stock 1 through the section of the hot rolling mill and can be regulated to the final target value Z '* or it is ensured for other reasons that the actual value Z from corresponding final target value Z '* does not deviate or only deviates very slightly.
  • this is typically the case when the particular target variable is the reel temperature T2.
  • the procedure of FIG 6 can always be grasped.
  • the sensitivities S of the superordinate variables can also be determined from the operating variables.
  • the superordinate variable is a mechanical property of the rolling stock 1, for example the tensile strength.
  • the target value T2 * for the reel temperature T2 is determined on the basis of the tensile strength.
  • the reel temperature T2 is the target variable, so that the offset is added to its setpoint.
  • the manipulated variable is the control of the valves 4. In this case - as an alternative or in addition to determining the sensitivity of the reel temperature T2 from the control of the valves 4 - the sensitivity of the mechanical properties of the rolling stock 1 can also be determined from the control of the valves 4.
  • the section of the hot rolling train comprises a cooling section.
  • FIG 7 comprises steps S31 to S36.
  • step S31 the control device 6 - analogously to step S1 from FIG 3 - for a respective flat rolling stock 1, the primary data PD thereof.
  • step S32 the control device 6 - analogously to step S2 from FIG 3 - for the rolling stock 1, provisional target values Z * for target variables.
  • the control device 6 receives a setpoint T2 * for the reel temperature T2 as one of the preliminary setpoint values Z *. As part of the design according to FIG 7 so the reel temperature T2 is a target variable.
  • the reel temperature T2 is within the scope of the embodiment of FIG FIG 7 the particular target variable, so that in step S33 the offset ⁇ Z is added as the temperature offset ⁇ T to the provisional target value T2 * and a final target value T2 * is thus determined for the reel temperature T2.
  • the control device 6 takes over in step S34 - analogously to step S4 from FIG FIG 3 - directly the respective preliminary target value Z * as the respective final target value Z '*.
  • the determination of the operating values A of the section of the hot rolling train by the control device 6 takes place in step S35 analogously to step S5 of FIG FIG 3 .
  • the determination of the operating values A takes place depending on the final temperature setpoint T2 *.
  • step S36 the control device 6 controls the section of the hot rolling mill when treating the corresponding flat rolled stock 1 in accordance with the determined operating values A.
  • the operating values A determines the number of activated valves 4 in the cooling section and / or the extent to which valves 4 are activated the cooling section or the degree of cooling in general.
  • FIG 8 comprises steps S41 to S46.
  • step S41 the control device 6 - analogously to step S1 from FIG 3 - for a respective flat rolling stock 1, the primary data PD thereof.
  • step S42 the control device 6 - analogously to step S2 from FIG 3 - for the rolling stock 1, provisional target values Z * for target variables.
  • step S43 the control device 6 changes - analogously to step S3 from FIG 3 - For the particular target variables, the respective provisional target value Z * by an offset ⁇ Z and thus determines a respective final target value Z '*.
  • the reel temperature T2 is not directly a special target variable, but it is correlated with one of the special target variables.
  • step S43 after determining the final target value Z '* for this particular target variable, the control device 6 determines the target value T2 * for the reel temperature T2 using its final target value Z' *. For the normal target variables, the control device 6 takes over in step S44 - analogously to step S4 of FIG FIG 3 - directly the respective preliminary target value Z * as the respective final target value Z '*. The control device 6 then determines operating values A of the section of the hot rolling mill in step S45. The determination takes place in such a way that the respective rolling stock 1, after passing through the section of the hot rolling train, among other things reaches the setpoint value T2 * determined in step S43 for the reel temperature T2 as well as possible.
  • step S46 the control device 6 controls the section of the hot rolling train when treating the corresponding flat rolled stock 1 in accordance with the determined operating values A.
  • the operating values A determines the number of activated valves 4 in the cooling section and / or the extent to which valves 4 are activated the cooling section or the degree of cooling in general.
  • the procedure according to FIG 8 is therefore based on the fact that the particular target variable is not directly the reel temperature T2.
  • the particular target variable can in particular be a micromechanical or a macromechanical property of the rolling stock 1, for example the tensile strength or the yield point.
  • FIG 9 another possible embodiment of the procedure according to the invention (see the FIGS. 1 to 3 ) explained.
  • This procedure is preferably also based on the embodiment explained above, that the section of the hot rolling train comprises a cooling section. However, it is not necessarily coupled to a cooling section, even if the configuration according to FIG FIG 9 will be explained below in connection with a cooling section. If the section of the hot rolling mill includes a cooling section, the procedure of FIG 9 with the designs of FIGS. 7 and 8 be combined.
  • FIG. 4 shows a possible embodiment of step S6 from FIG FIG 3 .
  • an actual value of a state variable of the rolling stock 1 is already detected while the respective flat rolling stock 1 is passing through the section of the hot rolling train and is supplied to the control device 6.
  • a further temperature measuring station 11 can be arranged on the output side of the cooling section, by means of which the reel temperature T2 (that is to say its actual value) is recorded.
  • step S51 the control device 6 initially controls the section of the hot rolling train. This control takes place with the current operating values A.
  • the current operating values A correspond to those in step S5 of FIG FIG 3 determined operating values A.
  • the control device 6 receives the recorded actual value of the state variable (for example the recorded reel temperature T2).
  • the state variable can - see the explanations for purely an example FIG 7 - be one of the special target variables.
  • the corresponding target value T2 * of the state variable T2 corresponds to the final target value Z '* of this particular target variable.
  • the recorded state variable - see the explanations for purely by way of example FIG 8 - be correlated with one of the special target variables.
  • the desired value T2 * of the state variable T2 is determined by the final desired value Z '* of this particular target variable.
  • the control device 6 compares the actual value T2 of the state variable with the associated setpoint value T2 * in a step S53. In the event of a discrepancy, the control device 6 goes to a step S54. In step S54, the control device 6 updates at least one operating value A.
  • the state variable T2 is influenced by the tracked operating value A. The tracking takes place in order to compensate for the deviation of the actual value T2 of the state variable from the associated setpoint value T2 *.
  • the control device 6 checks in a step S55 whether the treatment of the rolling stock 1 in the section of the hot rolling train has ended. If this is not the case, the control device 6 goes back to step S51. When step S51 is carried out again, however, the control device 6 uses the now current operating values A, that is to say as they were obtained after a possible adjustment in step S54. When the processing of the rolling stock 1 is finished in the section of the hot rolling train, the procedure of FIG FIG 9 completed. The control device 6 thus goes to step S1 (see FIG FIG 3 ) return.
  • the respective flat rolling stock 1 is conceptually divided into a plurality of sections that follow one another sequentially. If the state variable is detected for a specific section of the rolling stock 1, this section of the rolling stock 1 can no longer be influenced by means of the section of the hot rolling train. By means of the section of the hot rolling mill, however, subsequent sections of the flat rolled stock 1 can be influenced, the state variable of which is recorded at a later point in time will.
  • the regulation of the state variable is therefore subject to a certain dead time. However, this is unproblematic and only restricts the dynamics of the regulation, but not its principle.
  • the relevant facts are generally known and familiar to those skilled in the art.
  • the offset ⁇ Z can be freely selected as long as its absolute value remains below a certain limit.
  • the offset ⁇ Z can be freely selected as long as its absolute value remains below a certain limit.
  • the operating values A of rolling stock 1 to rolling stock 1 are always the same. This is because the operating values A are no longer changed after they have been determined in step S5.
  • the actual value Z of the particular target variable - for example the reel temperature T2 - varies in this case from rolling stock 1 to rolling stock 1.
  • An external disturbance can be assumed to be the reason for the spread.
  • the cause of the disorder can be known, but does not have to be known.
  • the spread of the actual value Z of the particular target variable has a standard deviation ⁇ around the mean value ZM of the actual value Z of the particular target variable.
  • the standard deviation ⁇ is often referred to as the variance.
  • the standard deviation ⁇ is defined by having a symmetrical range around the mean value ZM. In the area with the single standard deviation ⁇ (i.e. in the area that extends from the mean value ZM of the actual value Z of the special target variable minus the standard deviation ⁇ to the mean value ZM of the actual value Z of the special target variable plus the standard deviation ⁇ ) lie at one Normal distribution around 2/3 of all measured values (more precisely: 68.27%).
  • the offset ⁇ Z can be adjusted according to the representation in FIG 10 can be determined, for example, such that its magnitude is smaller than the standard deviation ⁇ .
  • the various final target values Z ′ * of the particular target variable deviate by less than the scatter (more precisely: by less than the standard deviation ⁇ ) from the corresponding provisional target value Z *. It is of course even better if the amount of the offset ⁇ Z has an even smaller value, in particular if it deviates from the corresponding provisional setpoint Z * by less than half the spread.
  • FIG 10 shows a more hypothetical situation. This is because the fact that the operating values A are not tracked can lead to considerable spreads, which are reflected in the actual value Z of the particular target variable. As a rule, therefore, the operating values A are updated.
  • the determination of the offset ⁇ Z for this case - a realistic case - is described below in connection with FIG 11 explained.
  • the treated rolled goods 1 are uniform and that the preliminary target value Z * is used directly as the final target value Z '* of the particular target variable.
  • the operating values A are tracked by a state variable - for example the reel temperature T2 - to hold at its setpoint T2 *.
  • the state variable is either a particular target variable or is correlated with a particular target variable. In the context of tracking the operating values A, the procedure of FIG 9 be realized.
  • the operating values A have a standard deviation ⁇ 'from their mean value AM.
  • the standard deviation ⁇ ' is analogous to FIG 10 defined by the fact that it covers a symmetrical range around the mean value AM of the operating values A.
  • the area with the single standard deviation ⁇ ' i.e. in the area that extends from the mean value AM minus the standard deviation ⁇ ' to the mean value AM plus the standard deviation ⁇ '
  • around 2/3 of all operating values A (more precisely: 68.27%).
  • around 95% of all operating values A lie in the area with twice the standard deviation ⁇ '.
  • almost all operating values A lie in the area with three times the standard deviation ⁇ '.
  • the offset ⁇ Z can be determined, for example, in such a way that - based on the respective offset ⁇ Z - the mean value AM of the operating values A deviates by less than the spread from that mean value AM which, when using the provisional nominal value Z * itself as the final nominal value Z ' * the particular target size results. It is of course even better if the amount of the offset ⁇ Z has an even smaller value, in particular a value which corresponds at most to half the spread of the operating values A.
  • the preliminary setpoint Z * should be 600 ° C.
  • 2500 rolled goods 1 are treated, for which the final target value Z '* of the particular target variable is 599 ° C., ie the offset ⁇ Z is -1 K.
  • the mean value AM can be calculated with an accuracy that corresponds to a dispersion of the reel temperature T2 by 0.14 K. Despite the only very slight change in the setpoint value T2 * of the reel temperature T2, the sensitivity S can therefore be determined.
  • this procedure provides the correct sign of the sensitivity S. This alone represents a significant advantage over the prior art. The determination is still only accurate to about 15%. However, this accuracy is completely sufficient for many applications. Furthermore, it can be improved by increasing the number of rolled products 1 accordingly.
  • the slight variation in the setpoint value T2 * of the reel temperature T2 has almost no effects on the quality of the rolled goods 1 actually treated Rolled goods 1 is only increased from 7 K to approx. 7.07 K and thus only by approx. 1% in relative terms. Alternatively or additionally, an increase in the offset ⁇ Z is of course also possible.
  • the determined sensitivity S can in particular be used to update the model 10. If the operating values A are to be determined at a later point in time within the framework of the model 10 for at least one further flat rolling stock 1, the determined sensitivity S can be used to determine the operating values A. This can be particularly advantageous if the setpoint value Z0 * or the target value Z0 'of the particular target variable has changed and / or if the primary data PD have changed.
  • the present invention has many advantages.
  • the sensitivity S is determined without further assumptions or at least its sign and its approximate value are determined.
  • the advantage is that the operator of the section of the hot rolling mill usually knows the primary data PD and the preliminary setpoint values Z * of the target variables very precisely, but usually does not know how to change the operating values A in order to obtain the actual values Z set the target values in a deterministic way. With the procedure of the present invention, however, this is made possible.
  • the working point of the section of the hot rolling train can be shifted in a targeted manner, so that a flat rolling stock 1 with improved actual values Z of the target variables results.
  • disturbances in upstream processing processes that is to say in processes which influence the primary data PD, can be compensated completely or at least partially.
  • the present invention was explained above over long stretches for the case that the section of the hot rolling mill corresponds to a cooling section or at least comprises a cooling section.
  • the coiling temperature T2 of the rolling stock 1 on the output side of the cooling section was generally assumed to be a particular target variable.
  • the number of activated valves 4 of the cooling section and / or the extent of activation of valves 4 of the cooling section was generally assumed as the operating value A.
  • the present invention is not limited to this one embodiment.
  • the section of the hot rolling train is a cooling section or includes a cooling section, but the particular target variable is not the coiling temperature T2.
  • the procedure can be completely analogous to the procedure explained above. It only has to be taken into account that the target value T2 * of the reel temperature T2 (or, in general, the target value of the state variable that is readjusted) is correlated with the particular target variable. If, for example, a certain tensile strength is specified as a particular target variable, the tensile strength is varied stochastically independently of the other target variables and the primary data PD. The associated setpoint T2 * of the reel temperature T2 is determined and regulated to this value. In this case, the associated mean values AM of the operating values A are determined and evaluated based on the respective mean value ZM of the actual values Z of the tensile strength. Similar procedures result for other special target variables.
  • the procedure according to the invention is carried out for a section of a hot rolling train that does not include a cooling section.
  • the final rolling temperature T1 can be given as a special target variable and the final rolling speed v can be used as a special manipulated variable. It can also be a Another target variable and the final rolling temperature T1 can be used as the state variable.
  • the measured variable on the basis of which the operating values A are tracked, can be the final rolling temperature T1 in the case of a finishing train, and the coiler temperature T2 in the case of a cooling section.
  • the section of the hot rolling train is designed as a multi-stand finishing train or comprises a multi-stand finishing train
  • the thickness, profile and / or flatness of the rolling stock 1 can be used as a special target variable and variables that reflect the roll gap of the last one can be used as operating values

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EP20156622.1A 2020-02-11 2020-02-11 Détermination de la sensibilité d'une grandeur cible d'une matière à laminer par une grandeur de fonctionnement d'une voie de laminage à chaud Withdrawn EP3865226A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
EP20156622.1A EP3865226A1 (fr) 2020-02-11 2020-02-11 Détermination de la sensibilité d'une grandeur cible d'une matière à laminer par une grandeur de fonctionnement d'une voie de laminage à chaud
US17/798,595 US20230089119A1 (en) 2020-02-11 2021-01-21 Determining a sensitivity of a target variable of a rolling material from an operating variable of a hot rolling mill
PCT/EP2021/051350 WO2021160404A1 (fr) 2020-02-11 2021-01-21 Détermination d'une sensibilité d'une variable cible d'un matériau de laminage à partir d'une variable de fonctionnement d'un laminoir à chaud
EP21700961.2A EP4103339B1 (fr) 2020-02-11 2021-01-21 Détermination de la sensibilité d'une grandeur cible d'une matière à laminer pour un paramètre de fonctionnement d'un train de laminage à chaud
CN202180013992.XA CN115066300A (zh) 2020-02-11 2021-01-21 确定轧材的目标参量对热轧机列的运行参量的灵敏度

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EP20156622.1A EP3865226A1 (fr) 2020-02-11 2020-02-11 Détermination de la sensibilité d'une grandeur cible d'une matière à laminer par une grandeur de fonctionnement d'une voie de laminage à chaud

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EP21700961.2A Active EP4103339B1 (fr) 2020-02-11 2021-01-21 Détermination de la sensibilité d'une grandeur cible d'une matière à laminer pour un paramètre de fonctionnement d'un train de laminage à chaud

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DE102022212627A1 (de) 2022-11-25 2024-05-29 Sms Group Gmbh Verfahren zum Herstellen eines Stahlbandes aus einem Vorprodukt, bei dem die Sollwerte über die Länge eines einzelnen Stahlbandes und / oder zeitlich in Bezug auf eine einzelne Produktionsanlage einer Walzstraße variabel vorgegeben werden

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2873469A1 (fr) * 2013-11-18 2015-05-20 Siemens Aktiengesellschaft Procédé de fonctionnement pour une voie de refroidissement
DE102016207692A1 (de) * 2015-05-20 2016-11-24 Hitachi, Ltd. Vorrichtung und Verfahren zum Steuern der Liefertemperatur eines Warmwalz-Fertigwalzwerks
DE102016114404A1 (de) * 2015-09-08 2017-03-09 Hitachi, Ltd. Haspeltemperatursteuerungsvorrichtung und Haspeltemperatursteuerungsverfahren

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2873469A1 (fr) * 2013-11-18 2015-05-20 Siemens Aktiengesellschaft Procédé de fonctionnement pour une voie de refroidissement
DE102016207692A1 (de) * 2015-05-20 2016-11-24 Hitachi, Ltd. Vorrichtung und Verfahren zum Steuern der Liefertemperatur eines Warmwalz-Fertigwalzwerks
DE102016114404A1 (de) * 2015-09-08 2017-03-09 Hitachi, Ltd. Haspeltemperatursteuerungsvorrichtung und Haspeltemperatursteuerungsverfahren

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WO2021160404A1 (fr) 2021-08-19
US20230089119A1 (en) 2023-03-23
EP4103339A1 (fr) 2022-12-21
CN115066300A (zh) 2022-09-16

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