EP4146414A1 - Method for the open-loop or closed-loop control of the temperature of a steel strip during hot working in a hot strip mill - Google Patents
Method for the open-loop or closed-loop control of the temperature of a steel strip during hot working in a hot strip millInfo
- Publication number
- EP4146414A1 EP4146414A1 EP21716283.3A EP21716283A EP4146414A1 EP 4146414 A1 EP4146414 A1 EP 4146414A1 EP 21716283 A EP21716283 A EP 21716283A EP 4146414 A1 EP4146414 A1 EP 4146414A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- temperature
- setpoint
- process model
- hot strip
- hot
- 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.)
- Granted
Links
Classifications
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- 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
- C21D8/04—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips to produce plates or strips for deep-drawing
- C21D8/0421—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips to produce plates or strips for deep-drawing characterised by the working steps
- C21D8/0426—Hot rolling
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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
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- 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
- C21D8/0221—Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips characterised by the working steps
- C21D8/0226—Hot rolling
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- 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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B2261/00—Product parameters
- B21B2261/20—Temperature
Definitions
- the invention relates to a method for controlling or regulating the temperature of a steel strip during hot forming in a hot strip mill.
- the hot forming of a steel strip usually takes place in a hot strip mill.
- This consists of different individual units such as B. furnaces, rolling stands, drives, unwinding and winding devices for the steel strip or cooling lines.
- a large number of different devices or methods are known for controlling or regulating such units. These controls or regulation are essentially based on a target / actual value comparison and a derivation of appropriate corrective measures for maintaining the target value.
- the setpoints to be adhered to are defined on the basis of experience and / or previous process analyzes.
- a connection is usually established in advance between the product properties of the steel strip and the setpoint values to be set for the unit. During the production of the steel strip, there is usually a complex relationship between the most varied of setpoints and the desired product properties.
- unit-related process models are used to develop suitable setpoints that lead to the desired product properties.
- the complexity of the interrelationship and / or effort for example statistical models, analytical models or neural networks are used for these unit-related process models.
- a disadvantage of such control concepts for hot strip mills having multiple units is that interactions when changing target values or actual values are not mapped across the various units by the unit-related process models and / or controls or regulations of the units. Particularly in the production of steel strips with high demands on the material quality, it is difficult to optimize the complex interaction of time, temperature, structure development and these quasi-static individual unit controls.
- control or regulation of individual units of a hot strip mill is disadvantageous in that an optimization of the process control of the individual unit does not always necessarily lead to the optimization of the entire production process.
- energy and manufacturing costs can be saved through more dynamic process control.
- the object of the invention is to further develop the known open-loop or closed-loop control of a hot strip mill in such a way that the setpoint specifications for the individual units are optimized across all systems with regard to, for example, product properties of a steel strip.
- a higher-level process model stores and / or exchanges target and / or actual values, including times, speeds, temperatures, cooling rates and / or heating rates, online with at least two controls or regulators of the units.
- the higher-level process model determines on the basis of the exchanged setpoints and / or actual values and / or stored values and with the help of subordinate process models, such as a temperature model of the furnace, temperature model of the cooling section or a model of the forming in the hot strip mill, the temperature of the steel strip for at least one point before the coiling of the hot strip online.
- the higher-level process model determines new target value specifications of the units at this point, transfers the target value specifications to the control or regulation of the unit in order to maintain the target value specifications for the temperature of the steel strip.
- the new target value specifications are determined with the aid of an optimization algorithm that includes at least one subordinate process model.
- the higher-level process model maps a current production status of the steel strip on the basis of the setpoint and / or actual values of the units.
- suitable process models such as B. Energy and material balances for one
- the higher-level process model determines the development of a temperature profile before, for example, reeling into the future. In this way, a difference between the setpoint specification for this individual unit and a possible deviation can be recognized at an early stage.
- An optimization algorithm running in the superordinate optimization model can optimize target value specifications in such a way that the target value specification of the hot strip is undershot before it is reeled
- optimization goals specified in advance can be, for example, production goals, in particular energy quantities, production quantities or quality goals.
- the intermediate product is a slab with a thickness d ß ⁇ 1 mm to d ß ⁇ 300 mm, preferably d ß > 50 mm to d B ⁇ 160 mm from a casting machine and that
- the higher-level process model has a casting speed, preferably between V G - 4 m / min and V G ⁇ 6 m / min, more preferably V G ⁇ 5 m / min and V G ⁇ 6 m / min and a casting machine outlet temperature, preferably TGE ⁇ 800 ° C , the slab taken into account when determining the target specifications.
- the optimization target includes the energy consumption, the production quantity, the process reliability, product properties, production costs and / or the system wear, these targets, the preferred reference variables in the steel production area.
- a subordinate process model determines the structural development of the steel strip in the hot strip mill for at least one point, preferably before the hot strip is coiled.
- the resulting structure development is decisive for the further material properties and / or processing of the steel strip. The more precise control or regulation of the structure development in the course of the process makes it possible to react early to deviations and the reject quantities and / or
- a roughing stand and a finishing stand are used, according to claim 5.
- advantageous temperature distributions and sequences can be set and these can also be better mapped through a larger number of measurement and control points. This enables the higher-level process model to react better to deviations. Furthermore, this gives more options for intervening in the setpoint specifications for hot rolling.
- a temperature target value of TFS ⁇ 850 ° C to TFS ⁇ 1050 ° C preferably TFS ⁇ 900 ° C to TFS ⁇ 1000 ° C, even more preferably TFS ⁇ 900 ° C to TFS ⁇ 950 ° C is specified by the higher-level process model.
- TFE ⁇ 800 ° C to TFE ⁇ 850 ° C is specified by the higher-level process model.
- a target speed value of V F ⁇ 0.4 m / s to V F ⁇ 1 m / s is preferably specified by the higher-level process model.
- a temperature setpoint of Tvs ⁇ 1000 ° C to Tvs ⁇ 1150 ° C is specified by the higher-level process model for the setpoint of the inlet temperature in the roughing stand.
- the setpoint for the outlet temperature from the roughing stand is specified by the higher-level process model in a temperature range from TVE ⁇ 950 ° C to TVE ⁇ 1100 ° C.
- a target value of Ü FS ⁇ 20 mm to Ü FS ⁇ 70 mm is specified by the higher-level process model.
- the nominal value of the flask temperature is preferably specified by the process model in the range from TH ⁇ 30 ° C to TVE ⁇ 750 ° C, more preferably TH ⁇ 450 ° C to TH ⁇ 550 ° C.
- the alloying element C has a content of 0.03% by weight to 0.15% by weight and / or manganese has a content of 0.50% by weight to 2.00 %
- the optimized target value specifications for the production of a subsequent hot strip are the same Production goals, especially mechanical property are used.
- a higher-level process model, setpoint and / or actual values comprising times, speeds, temperature, cooling rates and / or heating rates, with at least two controls or regulators of the units, is preferably exchanged online - and / or storable.
- the higher-level process model determines the temperature of the steel strip online for at least one point before the hot strip is wound up on the basis of the exchanged setpoint and / or actual values and / or stored values and with the help of subordinate process models and determines the temperature of the predefined temperature deviations from a setpoint specification at this point new setpoint specifications of the respective aggregates.
- the new setpoint specifications are transferred from the higher-level process model to the control or regulation of the respective unit in order to maintain the setpoint specification for the temperature of the steel strip.
- the new target value specifications are determined with the aid of an optimization algorithm that includes at least one subordinate process model.
- Figure 1 System diagram for the hot strip mill
- FIG. 1 shows a possible system scheme of a hot strip mill for the production of a hot strip in which the method according to the invention is used.
- the hot strip mill consists of a casting plant 1, two shears 2, 10, two furnaces 3, 6, two roughing stands 4, a transfer bar cooling 5, an inductive heating system 7, three finishing stands 8, a cooling section 9 and a flasher 11 for winding the hot strip.
- a higher-level data processing system 12 has an integrated temperature and structure model. Setpoint and actual values are exchanged with the different systems or assigned regulations, controls and / or measuring devices and are stored, for example, in the form of a database.
- FIG. 2 shows a flow chart with an exemplary networking of two units or controls of the two units with the respective process models.
- the higher-level data processing system I transfers setpoint values to the higher-level process model II of the hot strip mill. From these setpoint values, for example a strength, the superordinate process model II determines a number of setpoint values or setpoint ranges, for example a temperature profile with min. And max.temperature, which are transferred to the subordinate process models lila, b.
- the subordinate process models III a, b derive specific setpoint values for the respective unit from this. For example, a setpoint for a burner control in an oven 3 or a setpoint for controlling the amount of water in a cooling section 9 is derived from a predefined temperature curve with assigned times.
- the subordinate process model III a, b can adjust the target value.
- An automatic optimization of the process model III a, b can also take place here by means of a self-learning algorithm. If the target actual value deviates from the target value specification V of the superordinate process model II, the setpoint values are recalculated on the superordinate level II and, if necessary, adjusted.
- FIG. 3 shows a diagram with a target temperature curve B and a measured and pre-calculated temperature curve A.
- the target temperature curve B begins at the end of the casting plant 1 and describes the curve up to the reel 11.
- the actual values are plotted from the end of the casting plant 1 to the roughing stand 4.
- the measured temperature is above the target temperature.
- the higher-level process model II calculates the temperatures at the various points in the hot strip mill in advance. On the basis of this temperature curve, different setpoints can be specified anew at different points in order to correct the temperature deviation. Different
- Process models, material or microstructure models and / or optimization algorithms can be used to determine the best adaptation strategy.
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- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Thermal Sciences (AREA)
- Crystallography & Structural Chemistry (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Control Of Metal Rolling (AREA)
- Heat Treatment Of Steel (AREA)
- Feedback Control In General (AREA)
Abstract
Description
Verfahren zum Steuern oder Regeln der Temperatur eines Stahlbandes bei der Warmumformung in einer Warmbandstraße Method for controlling or regulating the temperature of a steel strip during hot forming in a hot strip mill
Gebiet: Die Erfindung betrifft ein Verfahren zum Steuern oder Regeln der Temperatur eines Stahlbandes bei der Warmumformung in einer Warmbandstraße. Field: The invention relates to a method for controlling or regulating the temperature of a steel strip during hot forming in a hot strip mill.
Stand der Technik: State of the art:
Die Warmumformung eines Stahlbandes findet üblicherweise in einer Warmbandstraße statt. Diese besteht aus unterschiedlichen einzelnen Aggregaten wie z. B. Öfen, Walzgerüsten, Antrieben, Ab- und Aufwickeleinrichtungen des Stahlbandes oder Kühlstrecken. Für die Steuerung bzw. Regelung derartiger Aggregate ist eine Vielzahl von unterschiedlichen Vorrichtung oder Verfahren bekannt. Diese Steuerungen bzw. Regelung basieren im Wesentlichen auf einem Soll-Ist-Wertvergleich und einem Ableiten von entsprechenden Korrekturmaßnahmen zum Einhalten des Sollwertes. Dabei werden die einzuhaltenden Sollwerte auf Basis von Erfahrungswissen und / oder vorhergehenden Prozessanalysen definiert. Weiterhin wird üblicherweise im Vorfeld ein Zusammenhang zwischen Produkteigenschaften des Stahlbandes und den einzustellenden Sollwerten des Aggregates gebildet. Üblicherweise ist bei der Herstellung des Stahlbandes ein komplexer Zusammenhang zwischen verschiedensten Sollwerten und anzustrebenden Produkteigenschaften gegeben. The hot forming of a steel strip usually takes place in a hot strip mill. This consists of different individual units such as B. furnaces, rolling stands, drives, unwinding and winding devices for the steel strip or cooling lines. A large number of different devices or methods are known for controlling or regulating such units. These controls or regulation are essentially based on a target / actual value comparison and a derivation of appropriate corrective measures for maintaining the target value. The setpoints to be adhered to are defined on the basis of experience and / or previous process analyzes. Furthermore, a connection is usually established in advance between the product properties of the steel strip and the setpoint values to be set for the unit. During the production of the steel strip, there is usually a complex relationship between the most varied of setpoints and the desired product properties.
Durch die zunehmende Digitalisierung der Anlagentechnik werden für die Entwicklung geeigneter Sollwerte die zu den gewünschten Produkteigenschaften führen, aggregatbezogene Prozessmodelle verwendet. In Abhängigkeit vom Datenstand, Komplexität der Zusammenhäng und / oder Aufwand werden dafür beispielsweise statistische Modelle, analytische Modelle oder neuronale Netze für diese aggregatbezogenen Prozessmodelle verwendet. Nachteilig bei derartigen Regelungskonzepten für Warmbandstraßen aufweisend mehrere Aggregate ist, dass Wechselwirkungen bei Änderung von Sollwert- Vorgaben oder Ist-Werten über die verschiedenen Aggregate nicht durch die aggregatbezogenen Prozessmodelle und / oder Steuerungen bzw. Regelungen der Aggregate abgebildet werden. Insbesondere bei der Herstellung von Stahlbändern mit hohen Anforderungen an die Werkstoffgüte kann die komplexe Wechselwirkung von Zeit, Temperatur, Gefügeentwicklung und durch diese quasistatischen Einzelaggregatregelungen schwer optimiert werden. Weiterhin ist die Steuerung bzw. Regelung von Einzelaggregaten einer Warmbandstraße dahingehend von Nachteil, dass eine Optimierung der Prozessführung des Einzelaggregates nicht immer zwingend zur Optimierung des gesamten Herstellungsprozesses führt. Insbesondere in kombinierten Anlagen mit beispielsweise Stranggussanlagen können durch dynamischere Prozessführungen Energie- und Herstellungskosten eingespart werden. Due to the increasing digitalization of plant technology, unit-related process models are used to develop suitable setpoints that lead to the desired product properties. Depending on the data status, the complexity of the interrelationship and / or effort, for example statistical models, analytical models or neural networks are used for these unit-related process models. A disadvantage of such control concepts for hot strip mills having multiple units is that interactions when changing target values or actual values are not mapped across the various units by the unit-related process models and / or controls or regulations of the units. Particularly in the production of steel strips with high demands on the material quality, it is difficult to optimize the complex interaction of time, temperature, structure development and these quasi-static individual unit controls. Furthermore, the control or regulation of individual units of a hot strip mill is disadvantageous in that an optimization of the process control of the individual unit does not always necessarily lead to the optimization of the entire production process. In particular in combined systems with, for example, continuous casting systems, energy and manufacturing costs can be saved through more dynamic process control.
Aufgabe der Erfindung: Object of the invention:
Aufgabe der Erfindung ist es, die bekannte Steuerung bzw. Regelung einer Warmbandstraße dahingehend weiterzuentwickeln, dass anlagenübergreifend die Sollwert-Vorgaben für die Einzelaggregate im Hinblick auf beispielsweise Produkteigenschaften eines Stahlbandes optimiert werden. The object of the invention is to further develop the known open-loop or closed-loop control of a hot strip mill in such a way that the setpoint specifications for the individual units are optimized across all systems with regard to, for example, product properties of a steel strip.
Erfindung: Die Aufgabe der Erfindung wird mit einem Verfahren mit den Merkmalen des Anspruchs 1 gelöst. Auf einem einer Warmbandstraße zugeordneten Datenverarbeitungssystem speichert und / oder tauscht ein übergeordnetes Prozessmodell Soll- und / oder Ist-Wert, aufweisend Zeiten, Geschwindigkeiten, Temperatur, Abkühlraten und/oder Aufheizraten, mit zumindest zwei Steuerungen oder Regelungen der Aggregate online aus. Das übergeordnete Prozessmodel bestimmt auf Basis der ausgetauschten Soll- und / oder Istwerte und / oder gespeicherten Werten und mit Hilfe von untergeordneten Prozessmodellen, wie beispielsweise ein Temperaturmodell des Ofens, Temperaturmodell der Kühlstrecke oder ein Modell der Umformung in der Warmbandstraße, die Temperatur des Stahlbandes für zumindest einen Punkt vor dem Aufhaspeln des Warmbandes online voraus. Das übergeordnete Prozessmodell ermittelt bei Abweichungen der vorausbestimmten Temperatur von einer Sollwert-Vorgabe an diesem Punkt neue Sollwert-Vorgaben der Aggregate, übergibt die Sollwert- Vorgaben an die Steuerung oder Regelung des Aggregates, um die Sollwert- Vorgabe für die Temperatur des Stahlbandes einzuhalten. Die Ermittlung der neuen Sollwert-Vorgaben erfolgt mit Hilfe von einem zumindest ein untergeordnetes Prozessmodell einschließenden Optimierungsalgorithmus. Invention: The object of the invention is achieved with a method having the features of claim 1. On a data processing system assigned to a hot strip mill, a higher-level process model stores and / or exchanges target and / or actual values, including times, speeds, temperatures, cooling rates and / or heating rates, online with at least two controls or regulators of the units. The higher-level process model determines on the basis of the exchanged setpoints and / or actual values and / or stored values and with the help of subordinate process models, such as a temperature model of the furnace, temperature model of the cooling section or a model of the forming in the hot strip mill, the temperature of the steel strip for at least one point before the coiling of the hot strip online. If the predetermined temperature deviates from a target value specification, the higher-level process model determines new target value specifications of the units at this point, transfers the target value specifications to the control or regulation of the unit in order to maintain the target value specifications for the temperature of the steel strip. The new target value specifications are determined with the aid of an optimization algorithm that includes at least one subordinate process model.
Das übergeordnete Prozessmodell bildet auf Basis der Soll- und/oder Istwerte der Aggregate einen aktuellen Produktionszustand des Stahlbandes ab. Durch geeignete Prozessmodelle, wie z. B. Energie- und Stoffbilanzen für einenThe higher-level process model maps a current production status of the steel strip on the basis of the setpoint and / or actual values of the units. Using suitable process models, such as B. Energy and material balances for one
Homogenisierungsofen oder ein statistisches Modell für diejenigeHomogenizing furnace or a statistical model for that
Gefügeentwicklung eines Stahlbandes, bestimmt das übergeordnete Prozessmodell die Entwicklung eines Temperaturverlaufes vor beispielsweise dem Aufhaspeln in die Zukunft. Hierdurch kann ein Unterschied zwischen Sollwert- Vorgabe für dieses Einzelaggregat und einer möglichen Abweichung frühzeitig erkannt werden. Ein im übergeordneten Optimierungsmodell ablaufender Optimierungsalgorithmus kann Sollwert-Vorgaben dahingehend optimieren, dass die Sollwert-Vorgabe des Warmbandes vor dem Aufhaspeln unterStructural development of a steel strip, the higher-level process model determines the development of a temperature profile before, for example, reeling into the future. In this way, a difference between the setpoint specification for this individual unit and a possible deviation can be recognized at an early stage. An optimization algorithm running in the superordinate optimization model can optimize target value specifications in such a way that the target value specification of the hot strip is undershot before it is reeled
Berücksichtigung im Vorfeld festgelegter Optimierungsziele erreicht wird. Die im Vorfeld festgelegten Optimierungsziele können beispielsweise Produktionsziele, insbesondere Energiemengen, Produktionsmengen oder Qualitätsziele sein. Consideration of previously defined optimization goals is achieved. The optimization goals specified in advance can be, for example, production goals, in particular energy quantities, production quantities or quality goals.
Bevorzugte Ausprägungen des Verfahrens sind in den Merkmalen der Ansprüche 2 bis 14 dargestellt. Gemäß dem Anspruch 2 ist es bevorzugt, dass das Vorprodukt einer Bramme mit einer Dicke dß ^ 1 mm bis dß < 300 mm, bevorzugt dß > 50 mm bis dB < 160 mm aus einer Gießmaschine ist und dass das übergeordnete Prozessmodell eine Gießgeschwindigkeit, vorzugsweise zwischen VG — 4 m/min und VG ^ 6 m/min, mehr bevorzugt VG ^ 5 m/min und VG ^ 6 m/min und eine Gießmaschinenauslauftemperatur, vorzugsweise TGE ^ 800°C, der Bramme bei der Bestimmung der Soll-Vorgaben berücksichtigt. Preferred versions of the method are shown in the features of claims 2 to 14. According to claim 2, it is preferred that the intermediate product is a slab with a thickness d ß ^ 1 mm to d ß <300 mm, preferably d ß > 50 mm to d B <160 mm from a casting machine and that The higher-level process model has a casting speed, preferably between V G - 4 m / min and V G ^ 6 m / min, more preferably V G ^ 5 m / min and V G ^ 6 m / min and a casting machine outlet temperature, preferably TGE ^ 800 ° C , the slab taken into account when determining the target specifications.
Bevorzugt umfasst, gemäß dem Anspruch 3, das Optimierungsziel den Energieverbrauch, die Produktionsmenge, die Prozesssicherheit, Produkteigenschaften, Produktionskosten und/oder den Anlagenverschleiß diese Ziele, die bevorzugten Führungsgrößen im Stahlherstellungsbereich ab. Preferably, according to claim 3, the optimization target includes the energy consumption, the production quantity, the process reliability, product properties, production costs and / or the system wear, these targets, the preferred reference variables in the steel production area.
Weiterhin ist es, gemäß dem Anspruch 4, bevorzugt, wenn ein untergeordnetes Prozessmodell die Gefügeentwicklung des Stahlbandes in der Warmbandstraße für zumindest einen Punkt, vorzugsweise vor dem Haspeln des Warmbandes, bestimmt. Neben der optimierten Temperaturführung ist die daraus resultierende Gefügeentwicklung für die weiteren Werkstoffeigenschaften und / oder Verarbeitung des Stahlbandes entscheidend. Die genauere Steuerung bzw. Regelung der Gefügeentwicklung im Prozessverlauf ermöglicht es, frühzeitig auf Abweichungen zu reagieren und die Ausschussmengen und / oderFurthermore, according to claim 4, it is preferred if a subordinate process model determines the structural development of the steel strip in the hot strip mill for at least one point, preferably before the hot strip is coiled. In addition to the optimized temperature control, the resulting structure development is decisive for the further material properties and / or processing of the steel strip. The more precise control or regulation of the structure development in the course of the process makes it possible to react early to deviations and the reject quantities and / or
Nachbehandlungen zu reduzieren. Reduce follow-up treatments.
Bei der Warmumformung werden, gemäß dem Anspruch 5, idealerweise ein Vorgerüst und ein Fertiggerüst verwendet. Durch die Aufteilung der Warmumformung in ein Vorgerüst und ein Fertiggerüst können vorteilhafte Temperaturverteilungen und -abfolgen eingestellt werden und diese auch durch eine größere Anzahl von Mess- und Regelpunkten besser abgebildet werden. Dadurch kann das übergeordnete Prozessmodell besser auf Abweichungen reagieren. Weiterhin sind dadurch mehr Möglichkeiten zum Eingriff in Sollwert- Vorgaben des Warmwalzens gegeben. Bevorzugt ist es, gemäß dem Anspruch 6 und 7, dass für den Sollwert der Einlauftemperatur in das Fertiggerüst ein Temperatursollwert von TFS ^ 850°C bis TFS ^ 1050°C, vorzugsweise TFS ^ 900°C bis TFS ^ 1000°C, noch mehr bevorzugt TFS ^ 900°C bis TFS ^ 950°C durch das übergeordnete Prozessmodell vorgegeben wird. Weiterhin ist es bevorzugt, wenn für den Sollwert der Auslauftemperatur aus dem Fertiggerüst ein Temperatursollwert innerhalb von TFE ^ 750°C bis TFE ^ 950°C, vorzugsweise TFE ^ 750°C bis TFE ^ 900°C, noch mehr bevorzugtIn the case of hot forming, ideally a roughing stand and a finishing stand are used, according to claim 5. By dividing the hot forming into a roughing stand and a finishing stand, advantageous temperature distributions and sequences can be set and these can also be better mapped through a larger number of measurement and control points. This enables the higher-level process model to react better to deviations. Furthermore, this gives more options for intervening in the setpoint specifications for hot rolling. It is preferred, according to claims 6 and 7, that for the target value of the inlet temperature in the finishing stand, a temperature target value of TFS ^ 850 ° C to TFS ^ 1050 ° C, preferably TFS ^ 900 ° C to TFS ^ 1000 ° C, even more preferably TFS ^ 900 ° C to TFS ^ 950 ° C is specified by the higher-level process model. Furthermore, it is preferred if a temperature setpoint within TFE ^ 750 ° C to TFE ^ 950 ° C, preferably TFE ^ 750 ° C to TFE ^ 900 ° C, even more preferred for the setpoint of the outlet temperature from the finishing stand
TFE ^ 800°C bis TFE ^ 850°C durch das übergeordnete Prozessmodell vorgegeben wird. TFE ^ 800 ° C to TFE ^ 850 ° C is specified by the higher-level process model.
Für den Sollwert der Einlaufgeschwindigkeit in das Fertiggerüst wird, gemäß dem Anspruch 8, bevorzugt ein Geschwindigkeitssollwert von VF ^ 0,4 m/s bis VF ^ 1 m/s durch das übergeordnete Prozessmodell vorgegeben. For the target value of the entry speed into the finishing stand, according to claim 8, a target speed value of V F ^ 0.4 m / s to V F ^ 1 m / s is preferably specified by the higher-level process model.
Gemäß dem Anspruch 9 und 10 ist für den Sollwert der Einlauftemperatur in das Vorgerüst ein Temperatursollwert von Tvs ^ 1000°C bis Tvs ^ 1150°C durch das übergeordnete Prozessmodell vorgegeben. Der Sollwert für die Auslauftemperatur aus dem Vorgerüst wird durch das übergeordnete Prozessmodel in einem Temperaturbereich von TVE ^ 950°C bis TVE ^ 1100°C vorgegeben. According to claims 9 and 10, a temperature setpoint of Tvs ^ 1000 ° C to Tvs ^ 1150 ° C is specified by the higher-level process model for the setpoint of the inlet temperature in the roughing stand. The setpoint for the outlet temperature from the roughing stand is specified by the higher-level process model in a temperature range from TVE ^ 950 ° C to TVE ^ 1100 ° C.
Idealerweise wird, gemäß dem Anspruch 11 und 12, für den Sollwert der Einlaufdicke in das Fertiggerüst ein Sollwert von ÜFS ^ 20 mm bis ÜFS ^ 70 mm durch das übergeordnete Prozessmodell vorgegeben. Der Sollwert der Flaspeltemperatur wird bevorzugt durch das Prozessmodell in dem Bereich von TH ^ 30°C bis TVE ^ 750°C, mehr bevorzugt TH ^ 450°C bis TH ^ 550°C vorgegeben. Ideally, according to claims 11 and 12, for the target value of the inlet thickness in the finishing stand, a target value of Ü FS ^ 20 mm to Ü FS ^ 70 mm is specified by the higher-level process model. The nominal value of the flask temperature is preferably specified by the process model in the range from TH ^ 30 ° C to TVE ^ 750 ° C, more preferably TH ^ 450 ° C to TH ^ 550 ° C.
Gemäß dem Anspruch 13 ist es bevorzugt, wenn das Legierungselement C auf einen Gehalt von 0,03 Gew.-% bis 0,15 Gew.-% und/oder Mangan auf einen Gehalt von 0,50 Gew.-% bis 2,00 Gew.-% im Stahlband beschränkt ist. Gemäß dem Anspruch 14 ist es bevorzugt, wenn die optimierten Sollwert- Vorgaben für die Herstellung eines nachfolgenden Warmbandes mit gleichen Produktionszielen, insbesondere mechanischen Eigenschaft verwendet werden. Flierdurch können bereits existierende optimierte Prozessabläufe, die durch die entsprechenden Sollwert-Vorgaben beschrieben sind, auf Weiterproduktion des gleichen Werkstoffes oder Stahlbandtyps bezogen werden. Dies spart Optimierungszeit und ermöglicht es, auf schleichende Anlagenänderungen im Vorfeld zu reagieren. According to claim 13, it is preferred if the alloying element C has a content of 0.03% by weight to 0.15% by weight and / or manganese has a content of 0.50% by weight to 2.00 % By weight in the steel strip is limited. According to claim 14, it is preferred if the optimized target value specifications for the production of a subsequent hot strip are the same Production goals, especially mechanical property are used. Through this, already existing optimized process sequences, which are described by the corresponding target value specifications, can be related to further production of the same material or steel strip type. This saves optimization time and makes it possible to react to creeping system changes in advance.
Bevorzugt ist, gemäß dem Anspruch 15, auf einem der Warmbandstraße zugeordneten Datenverarbeitungssystem, ein übergeordnetes Prozessmodell Soll- und / oder Ist-Werten, aufweisend Zeiten, Geschwindigkeiten, Temperatur, Abkühlraten und / oder Aufheizraten, mit zumindest zwei Steuerungen oder Regelungen der Aggregate online austausch- und / oder speicherbar. Das übergeordnete Prozessmodell bestimmt auf Basis der ausgetauschten Soll- und / oder Ist-Werten und / oder gespeicherten Werten und mit Hilfe von untergeordneten Prozessmodellen die Temperatur des Stahlbandes für zumindest einen Punkt vor dem Aufhaspeln des Warmbandes online voraus und ermittelt bei Abweichungen der vorausbestimmten Temperatur von einer Sollwertvorgabe an diesem Punkt neue Sollwertvorgaben der jeweiligen Aggregate. Die neuen Sollwertvorgaben werden vom übergeordneten Prozessmodell an die Steuerung oder Regelung des jeweiligen Aggregates übergeben, um die Sollwertvorgabe für die Temperatur des Stahlbandes einzuhalten. Dabei erfolgt die Ermittlung der neuen Sollwertvorgaben mit Hilfe von einem zumindest ein untergeordnetes Prozessmodell einschließenden Optimierungsalgorithmus. According to claim 15, on a data processing system assigned to the hot strip mill, a higher-level process model, setpoint and / or actual values, comprising times, speeds, temperature, cooling rates and / or heating rates, with at least two controls or regulators of the units, is preferably exchanged online - and / or storable. The higher-level process model determines the temperature of the steel strip online for at least one point before the hot strip is wound up on the basis of the exchanged setpoint and / or actual values and / or stored values and with the help of subordinate process models and determines the temperature of the predefined temperature deviations from a setpoint specification at this point new setpoint specifications of the respective aggregates. The new setpoint specifications are transferred from the higher-level process model to the control or regulation of the respective unit in order to maintain the setpoint specification for the temperature of the steel strip. The new target value specifications are determined with the aid of an optimization algorithm that includes at least one subordinate process model.
Das erfindungsgemäße Verfahren wird nachfolgend unter Bezugnahme auf die genannten Figuren in Form von Ausführungsbeispielen detailliert beschrieben. In allen Figuren sind gleiche technische Elemente mit gleichen Bezugszeichen bezeichnet. The method according to the invention is described in detail below in the form of exemplary embodiments with reference to the figures mentioned. In all figures, the same technical elements are denoted by the same reference symbols.
Der Beschreibung sind die folgenden drei Figuren beigefügt: Figur 1 : Anlagenschema Warmbandstraße The following three figures are attached to the description: Figure 1: System diagram for the hot strip mill
Figur 2: Regelungsschema mit übergeordnetem ProzessmodellFigure 2: Control scheme with a higher-level process model
Figur 3: Vergleich Temperaturverlauf Sollwert, Ist-Wert Figure 3: Comparison of temperature curve setpoint and actual value
Figur 1 zeigt ein mögliches Anlagenschema einer Warmbandstraße zur Fierstellung eines Warmbandes bei dem das erfindungsgemäße Verfahren angewendet wird. Die Warmbandstraße besteht aus einer Gießanlage 1, zwei Scheren 2, 10, zwei Öfen 3, 6, zwei Vorgerüsten 4, einer Transferbarkühlung 5, einer induktiven Fleizung 7, drei Fertiggerüsten 8, einer Kühlstrecke 9 und einer Flaspel 11 zum Aufwickeln des Warmbandes. Ein übergeordnetes Datenverarbeitungssystem 12 weist ein integriertes Temperatur- und Gefügemodell auf. Soll- und Istwerte werden mit den unterschiedlichen Anlagen bzw. zugeordneten Regelungen, Steuerungen und / oder Messeinrichtungen ausgetauscht und beispielsweise in Form einer Datenbank gespeichert. FIG. 1 shows a possible system scheme of a hot strip mill for the production of a hot strip in which the method according to the invention is used. The hot strip mill consists of a casting plant 1, two shears 2, 10, two furnaces 3, 6, two roughing stands 4, a transfer bar cooling 5, an inductive heating system 7, three finishing stands 8, a cooling section 9 and a flasher 11 for winding the hot strip. A higher-level data processing system 12 has an integrated temperature and structure model. Setpoint and actual values are exchanged with the different systems or assigned regulations, controls and / or measuring devices and are stored, for example, in the form of a database.
Figur 2 stellt ein Ablaufdiagramm mit einer beispielhaften Vernetzung von zwei Aggregaten bzw. Regelungen der zwei Aggregate mit den jeweiligen Prozessmodellen dar. Das übergeordnete Datenverarbeitungssystem I übergibt Sollwerte an das übergeordnete Prozessmodell II der Warmbandstraße. Aus diesen Sollwerten, beispielsweise eine Festigkeit, ermittelt das übergeordnete Prozessmodell II eine Anzahl von Sollwerten oder Sollwertbereichen, beispielsweise ein Temperaturverlauf mit jeweils min. und max. Temperaturen, die an die untergeordneten Prozessmodelle lila, b übergeben werden. Die untergeordneten Prozessmodelle III a, b leiten daraus spezifische Sollwerte für das jeweilige Aggregat ab. Beispielsweise wird aus einer vorgegebenen Temperaturkurve mit zugeordneten Zeitpunkten eine Sollvorgabe für eine Brennersteuerung in einem Ofen 3 oder eine Sollvorgabe für die Steuerung der Wassermenge in einer Kühlstrecke 9. Diese werden an die entsprechenden Regelungen der jeweiligen Aggregate weitergegeben. Falls die Werte innerhalb des Aggregates nicht erreicht werden, kann das untergeordnete Prozessmodell III a, b die Sollvorgabe anpassen. Ebenfalls kann hier auch eine automatische Optimierung des Prozessmodells III a, b mittels eines selbstlernenden Algorithmus erfolgen. Weicht die Ziel-Istgröße von den Zielwertvorgabe V des übergeordneten Prozessmodells II ab, wird auf der übergeordneten Ebene II die Sollwerte neu berechnet und ggf. angepasst. FIG. 2 shows a flow chart with an exemplary networking of two units or controls of the two units with the respective process models. The higher-level data processing system I transfers setpoint values to the higher-level process model II of the hot strip mill. From these setpoint values, for example a strength, the superordinate process model II determines a number of setpoint values or setpoint ranges, for example a temperature profile with min. And max.temperature, which are transferred to the subordinate process models lila, b. The subordinate process models III a, b derive specific setpoint values for the respective unit from this. For example, a setpoint for a burner control in an oven 3 or a setpoint for controlling the amount of water in a cooling section 9 is derived from a predefined temperature curve with assigned times. These are passed on to the corresponding controls of the respective units. If the values are not achieved within the unit, the subordinate process model III a, b can adjust the target value. An automatic optimization of the process model III a, b can also take place here by means of a self-learning algorithm. If the target actual value deviates from the target value specification V of the superordinate process model II, the setpoint values are recalculated on the superordinate level II and, if necessary, adjusted.
Figur 3 zeigt ein Diagramm mit einem Solltemperaturverlauf B und einem gemessenen sowie vorausberechneten Temperaturverlauf A. Der Solltemperaturverlauf B beginnt mit dem Ende der Gießanlage 1 und beschreibt den Verlauf bis zur Haspel 11. Die Istwerte sind vom Ende der Gießanlage 1 bis zum Vorgerüst 4 aufgetragen. Dabei ist die gemessene Temperatur oberhalb der Solltemperatur. Das übergeordnete Prozessmodell II berechnet ab diesem Punkt die Temperaturen an den unterschiedlichen Stellen in der Warmbandstraße voraus. Auf Basis dieser Temperaturkurve können an unterschiedlichen Stellen unterschiedliche Sollwerte neu vorgegeben werden, um die Temperaurabweichung zu korrigieren. Dabei können unterschiedlicheFIG. 3 shows a diagram with a target temperature curve B and a measured and pre-calculated temperature curve A. The target temperature curve B begins at the end of the casting plant 1 and describes the curve up to the reel 11. The actual values are plotted from the end of the casting plant 1 to the roughing stand 4. The measured temperature is above the target temperature. From this point on, the higher-level process model II calculates the temperatures at the various points in the hot strip mill in advance. On the basis of this temperature curve, different setpoints can be specified anew at different points in order to correct the temperature deviation. Different
Prozessmodelle, Werkstoff- bzw. Gefügemodelle und / oder Optimierungsalgorithmen verwendet werden, um die beste Anpassungsstrategie zu bestimmen. Process models, material or microstructure models and / or optimization algorithms can be used to determine the best adaptation strategy.
Tabelle 1: Bezugszeichen Table 1: Reference symbols
Claims
Applications Claiming Priority (2)
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| DE102020205655.2A DE102020205655A1 (en) | 2020-05-05 | 2020-05-05 | Method for controlling or regulating the temperature of a steel strip during hot forming in a hot strip mill |
| PCT/EP2021/057720 WO2021223937A1 (en) | 2020-05-05 | 2021-03-25 | Method for the open-loop or closed-loop control of the temperature of a steel strip during hot working in a hot strip mill |
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| EP4146414A1 true EP4146414A1 (en) | 2023-03-15 |
| EP4146414B1 EP4146414B1 (en) | 2024-03-13 |
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| DE102020205655A1 (en) * | 2020-05-05 | 2021-11-11 | Sms Group Gmbh | Method for controlling or regulating the temperature of a steel strip during hot forming in a hot strip mill |
| DE102022210057A1 (en) * | 2022-09-23 | 2024-03-28 | Sms Group Gmbh | Method and computer program for operating a production plant for a metal product |
| CN115608793B (en) * | 2022-12-20 | 2023-04-07 | 太原科技大学 | A finishing rolling temperature control method based on mechanism fusion data |
| DE102023135965A1 (en) * | 2023-12-20 | 2025-06-26 | Sms Group Gmbh | Method for operating a hot strip production plant and hot strip production plant for producing a hot strip |
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| JPH06246331A (en) * | 1993-03-01 | 1994-09-06 | Nkk Corp | Cooling method for hot rolled steel sheet |
| KR100486158B1 (en) * | 1996-01-31 | 2005-11-08 | 에이에스엠 아메리카, 인코포레이티드 | Model Base Predictive Control of Heat Treatment |
| DE19950502C1 (en) | 1999-10-20 | 2000-11-16 | Thyssenkrupp Stahl Ag | Hot rolled low alloy low carbon steel strip production, especially for deep drawing quality cold rolled strip manufacture, by rapidly cooling and then air cooling continuously cast strand before reheating and hot rolling |
| DE19963186B4 (en) | 1999-12-27 | 2005-04-14 | Siemens Ag | Method for controlling and / or regulating the cooling section of a hot strip mill for rolling metal strip and associated device |
| DE10156008A1 (en) | 2001-11-15 | 2003-06-05 | Siemens Ag | Control method for a finishing train upstream of a cooling section for rolling hot metal strip |
| ITMI20021996A1 (en) | 2002-09-19 | 2004-03-20 | Giovanni Arvedi | PROCESS AND PRODUCTION LINE FOR THE MANUFACTURE OF ULTRA-THIN HOT TAPE BASED ON THE TECHNOLOGY OF THE THIN SHEET |
| US7310981B2 (en) | 2003-02-25 | 2007-12-25 | Siemens Aktiengesellschaft | Method for regulating the temperature of strip metal |
| DE102007007560A1 (en) * | 2007-02-15 | 2008-08-21 | Siemens Ag | Method for supporting at least partially manual control of a metalworking line |
| DE102007058709A1 (en) | 2007-08-04 | 2009-02-05 | Sms Demag Ag | Method for producing a strip of steel |
| JP5529847B2 (en) | 2009-03-13 | 2014-06-25 | 東芝三菱電機産業システム株式会社 | Optimization device |
| JP5610869B2 (en) | 2010-06-21 | 2014-10-22 | 株式会社神戸製鋼所 | Method for controlling cooling of rolled material, and continuous rolling machine to which this cooling control method is applied |
| EP2428288B1 (en) | 2010-09-08 | 2013-04-17 | Siemens VAI Metals Technologies GmbH | Method for producing steel bands using continuous casting or semi-continuous casting |
| EP2431104A1 (en) * | 2010-09-16 | 2012-03-21 | Siemens Aktiengesellschaft | Method for determining the temperature and geometry of a hot rolled metal strip in a finishing train in real time |
| TWI552812B (en) | 2012-01-25 | 2016-10-11 | Sms Group Gmbh | Verfahren und anlage zur herstellung eines metallbandes |
| CN103302255B (en) * | 2012-03-14 | 2015-10-28 | 宝山钢铁股份有限公司 | A kind of thin strap continuous casting 700MPa level high-strength air corrosion-resistant steel manufacture method |
| KR101898568B1 (en) | 2014-03-19 | 2018-09-13 | 제이에프이 스틸 가부시키가이샤 | Method for hot-rolling high-carbon steel |
| PL2924140T3 (en) | 2014-03-25 | 2018-04-30 | Thyssenkrupp Ag | Method for manufacturing a high strength flat steel product |
| EP3199657B1 (en) | 2014-09-25 | 2019-02-13 | JFE Steel Corporation | Steel strip for electric-resistance-welded steel pipe or tube, electric-resistance-welded steel pipe or tube, and process for producing steel strip for electric-resistance-welded steel pipe or tube |
| JP6435234B2 (en) | 2015-05-20 | 2018-12-05 | 株式会社日立製作所 | Hot roll finishing mill outlet temperature control device and control method thereof |
| DE102019210056B4 (en) * | 2018-07-09 | 2023-01-26 | Sms Group Gmbh | Process for the networked control of the reference variables in the production of a large pipe bending plant |
| CN109604349B (en) * | 2018-12-28 | 2020-08-07 | 中铝瑞闽股份有限公司 | Control method for plate shape of aluminum alloy hot rolled strip |
| DE102020205655A1 (en) * | 2020-05-05 | 2021-11-11 | Sms Group Gmbh | Method for controlling or regulating the temperature of a steel strip during hot forming in a hot strip mill |
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| US20230203612A1 (en) | 2023-06-29 |
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| US12492442B2 (en) | 2025-12-09 |
| JP7539626B2 (en) | 2024-08-26 |
| WO2021223937A1 (en) | 2021-11-11 |
| CN115551652A (en) | 2022-12-30 |
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