KR102478274B1 - Method, control system and production line for controlling the flatness of a strip of rolled material - Google Patents

Abstract

A method for controlling the flatness of a strip (16) of rolled material in a production line (10) comprising a hot rolling mill (12) and at least one cold rolling mill (14) downstream of the hot rolling mill (12), comprising: The method includes determining flatness data of strip (16) at one or more of the at least one cold rolling mill (14) and/or after passage of the strip (16) through one or more of the at least one cold rolling mill (14). ; determining a thickness profile target (50) of the strip (16) for the hot rolling mill (12) based on the flatness data; and passing the strip (16) through a hot rolling mill (12) and adjusting the thickness of the strip (16) based on the thickness profile target (50). A control system 38 and production line 10 are also provided.

Description

Method, control system and production line for controlling the flatness of a strip of rolled material

The present disclosure relates generally to controlling the flatness of a strip of rolled material. In particular, a method for controlling the flatness of a strip of rolled material in a production line, a control system for controlling the flatness of a strip of rolled material in a production line, and a production line including the control system are provided.

In a production line of rolled materials, there are usually several different process steps, for example a smelter, hot rolling mill, cold rolling mill, furnace, annealing machine, stretch leveler, slitter, There are coilers and uncoilers. The key parameters of such a production line are the yield of the final process step and the resource requirements (efficiency of the overall process). The flatness of the rolled material is also a key parameter that directly affects the process yield in the final process step. In today's rolling mill industry, it is common to operate different process steps separately.

EP 1110635 B1 discloses a method for controlling the flatness of a strip of rolling material and a system using this method. A measurement of the flatness of the strip during rolling is compared to both a first flatness target and a second flatness target. The flatness targets and the measured flatness errors for each of the one or more subsequent processes are used to construct a control signal for the mill stand to control and regulate the flatness of subsequent production of rolled material of the same specification.

JP S6020088 B2 discloses a plate rolling processing equipment comprising a hot strip mill, a tandem cold mill and a flatness meter. A flatness meter is provided on the outlet side of the tandem cold mill. This facility further includes a flatness calculator for calculating flatness by dividing the length of the plate undulation by the amplitude of the plate undulation. The equipment further includes a flatness control device for calculating the work roll crown. The facility further includes a crown straightening device for calculating, on the basis of the working roll crown, optimum values related to through-plate properties and coil winding shape. The assembly further includes a crown control device for calculating a roll bending force correction value based on a difference from a desired crown value output from an adder.

In the flatness control of a strip of rolled material, the key factors determining how well the flatness error is eliminated are the mechanical actuator of the cold rolling mill and the thickness profile of the incoming material. The thickness profile of the strip is created in the hot rolling mill and cannot be substantially changed in the cold rolling mill without causing flatness defects. If the roll gap of each cold rolling mill cannot be formed according to the thickness profile of the incoming material by means of a mechanical actuator, there is a possibility of a flatness error in the strip. Therefore, when a strip with a specific thickness profile passes through a cold rolling mill with a specific roll gap, the difference between the thickness profile and the roll gap causes a flatness error of the strip. Also, if there are multiple cold rolling mills with different types of roll gaps, these can also cause flatness errors.

Also, if the roll gap of the cold rolling mill is controlled according to the method of EP 1110635 B1, there is a risk that the required flatness target may deviate from the acceptable operating conditions of the cold rolling mill. In other words, very large corrections may be required by the flatness target of the cold rolling mill to achieve the desired flatness downstream. Thus, in some cases, the required flatness compensation cannot be achieved by cold rolling mills, or there may be a risk of causing strip breakage.

One object of the present disclosure is to provide a method for controlling the flatness of a strip of rolled material, which method enables reduction of flatness errors.

A further object of the present disclosure is to provide a method for controlling the flatness of a strip of rolled material, which method enables a reduction in flatness errors of a strip downstream of a cold rolling mill.

A still further object of the present disclosure is to provide a method for controlling the flatness of a strip of rolled material, which method enables reduction of strip flatness errors downstream of a subsequent process on a cold rolling mill.

A still further object of the present disclosure is to provide a method for controlling the flatness of a strip of rolled material, which method reduces the risk of strip breakage.

A still further object of the present disclosure is to provide a method for controlling the flatness of a strip of rolled material, which method provides increased yield.

A still further object of the present disclosure is to provide a method for controlling the flatness of a strip of rolled material, which method solves a combination of some or all of the foregoing objects.

A still further object of the present disclosure is to provide a control system for controlling the flatness of a strip of rolling material in a production line, which control system solves one, some or all of the foregoing objects.

A still further object of the present disclosure is to provide a production line comprising a control system, which production line solves one, some or all of the foregoing objects.

According to one aspect, there is provided a method for controlling the flatness of a strip of rolled material in a production line comprising a hot rolling mill and at least one cold rolling mill downstream of the hot rolling mill, the method comprising: determining flatness data associated with the strip at one or more of and/or after passage of the strip through one or more of the at least one cold rolling mill; determining a thickness profile target for the strip for the hot rolling mill based on the flatness data; and passing the strip through a hot rolling mill and adjusting the thickness of the strip based on the thickness profile target.

The production line includes a hot rolling side with one or more hot rolling mills and a cold rolling side with one or more cold rolling mills. Hot rolling is a metal working process that takes place above the material's recrystallization temperature. Cold rolling occurs in the metal below its recrystallization temperature, which increases strength through strain hardening. The rolling material can be aluminum, steel or copper, for example.

Instead of using a thickness profile target on the hot rolling side that is not necessarily optimal at the downstream cold rolling side or in a process downstream of the cold rolling side, the method provides a thickness profile target based on normal or achievable flatness impact effects downstream of the hot rolling mill. Use In this way, the downstream flatness impact effect can be matched with the incoming thickness profile of the strip, thereby reducing or eliminating flatness errors. A thickness profile target used in a hot rolling mill creates one or more flatness correction needs downstream of the hot rolling side. By selecting a thickness profile target such that this flatness correction need can be met by one or more cold rolling mills and/or by subsequent processes, flatness errors in the strip can be reduced.

In other words, by determining a thickness profile target for the strip for the hot rolling mill based on the flatness data, the hot rolling mill determines the thickness profile of the strip for which downstream processes, such as one or more cold rolling mills, can better compensate for flatness. will create Thereby, the method provides feedback of the flatness influence effect to the hot rolling side of the production line from the cold rolling side or downstream of the cold rolling side. In the hot rolling mill, the thickness profile problem, which later turns into a flatness problem, can be better controlled. Thereby, the method challenges the prior art norm regarding what is considered a good thickness profile from a hot rolling mill. Today, the typical example is to have a thickness profile from a hot rolling mill similar to a polynomial of 2nd order with the center of the strip 0.5% higher in shape, e.g., the crown of 0.5%.

Each cold rolling mill may include at least one mechanical actuator arranged to control one or more rolls of the cold rolling mill. In this case, the flatness data may include a flatness model associated with one of the at least one mechanical actuator, the flatness model defining the effect of the mechanical actuator on the strip. By adjusting the rolls with mechanical actuators, the roll gap of the cold rolling mill can be changed. Thus, the flatness model specifies the ability of the mechanical actuator to change the flatness of the strip.

In this variant, the method uses one or more flatness models that can actually be achieved by one or more mechanical actuators. By determining a thickness profile target based on one or more of these flatness models, the roll gap can be matched to the incoming thickness profile of the strip, thereby reducing or eliminating flatness errors. For example, by selecting a thickness profile target such that downstream flatness correction needs can be satisfied by one or more of the cold rolling mill's mechanical actuators, the cold rolling mill's thermal actuators can be "emancipated" and instead in the strip It can be used to correct local defects.

Accordingly, the method may include, for one or more mechanical actuators, determining a flatness model achievable by the mechanical actuators. By determining a thickness profile target for the strip for the hot rolling mill based on one or more flatness models, the hot rolling mill provides a thickness profile that the mechanical actuator can compensate for. In this way, increased flatness of the strip is achieved downstream of the cold rolling mill.

As used herein, the terms shape and flatness may be used interchangeably. One or more flatness models may be associated with each mechanical actuator. Each flatness model may depend on various parameters, such as the width of the strip and/or the location of the associated mechanical actuator.

Determination of a thickness profile target based on flatness data may include machine learning. Machine learning may be mathematically based, for example, on the measured flatness of a strip downstream of one or more of the at least one cold rolling mill, a flatness model for each of the one or more mechanical actuators, and/or a thickness profile target of the hot rolling mill. A model can be used as sample data.

Alternatively, determination of the thickness profile target may be made using other statistical techniques including fuzzy logic and neural-fuzzy logic control methods.

Each hot rolling mill may include one or more actuators, such as one or more mechanical actuators and/or one or more thermal actuators arranged to control one or more rolls of the hot rolling mill. Each hot rolling mill may be configured to modify the thickness profile of the strip being rolled. The hot rolled side may include one or more thickness profiling devices.

Each hot rolling mill can be controlled based on a thickness profile target. Each hot rolling mill may further include a thickness profile controller configured to minimize thickness profile errors by controlling the hot rolling mill using an actuator within the hot rolling mill.

Each hot rolling mill can be a single mill stand or a tandem mill with multiple mill stands. Alternatively or additionally, the production line may include a reversible hot tandem mill.

Each cold rolling mill may include one or more actuators, such as one or more mechanical actuators. Each mechanical actuator may be configured to control one or more of the rolls of the cold rolling mill. In this way, the roll gap of the cold rolling mill can be adjusted. The mechanical actuator may be controlled to provide, for example, bending of the work roll, tilting of the work roll, bending of the intermediate roll, lateral-movement of the intermediate roll, and the like. One or more of the cold rolling mills may also include one or more thermal actuators.

Each cold rolling mill may be configured to modify the flatness profile of the strip being rolled. The cold rolled side may include one or more form gauges.

Each cold rolling mill may be controlled based on one or more flatness models. Each cold rolling mill may further include a flatness controller configured to minimize flatness errors by controlling the cold rolling mill using an actuator within the cold rolling mill. Each cold rolling mill can be a single mill stand or a tandem mill with multiple mill stands. Alternatively or additionally, the production line may include a reversible cold tandem mill.

The flatness data may include a flatness model associated with each one or more of the at least one mechanical actuator for the plurality of cold rolling mills, and the determination of the thickness profile target is performed on a hot rolling mill that optimally matches the combination of flatness models. determining a thickness profile target for the strip.

Accordingly, the method may include determining a plurality of flatness models associated with each mechanical actuator of a plurality of cold rolling mills. Each flatness model can be expressed, for example, as a polynomial over the width of the strip, in which case it depends on the width of the strip. Each flatness model for the mechanical actuator can be determined as the effect of the flatness of the mechanical actuator.

The respective actuators of the cold rolling mill, mechanical or thermal, affect the flatness of the strip passing through the cold rolling mill. The flatness model is a model for this effect of actuators on flatness as the strip passes through the cold rolling mill.

The effect each actuator has on flatness may vary depending on the actuator setting and/or actual rolling conditions. Actual rolling conditions may include, for example, the thermal crown on the work rolls (depending on the strip speed and possible previous passes), the hardness of the strip, and/or the total roll force.

The method may further include determining a thickness profile model of the strip for the hot rolling mill, the thickness profile model defining an effect of one or more mechanical actuators of the hot rolling mill on the strip. Determination of the thickness profile target includes, for example, optimizing the hot rolling mill's thickness profile model to optimally match the flatness model for the mechanical actuators in the most downstream cold rolling mill. Alternatively or additionally, determining the thickness profile target may include optimizing the thickness profile model for the plurality of hot rolling mills to optimally match the flatness model of one or more mechanical actuators of the at least one cold rolling mill. can In any case, a thickness profile model that solves the optimization problem can be set as the thickness profile target. Alternatively, the flatness model can be normalized in amplitude to the desired crown and then used as the thickness profile target.

Where the flatness data includes one or more flatness models associated with one or more mechanical actuators for each of a plurality of cold rolling mills, the determination of the thickness profile target determines the number of strips for the hot rolling mill that best match the combination of flatness models. determining a thickness profile target. The flatness models of mechanical actuators of multiple cold rolling mills can be combined into a combined flatness model representing the overall effect of multiple cold rolling mills on the flatness of a strip. A thickness profile target can then be determined based on the combined flatness model.

The production line may include a plurality of cold rolling mills, and the flatness data may include a flatness model associated with each one or more of the at least one mechanical actuator of the most downstream cold rolling mill. By determining the thickness profile target of the strip for the hot-rolling mill based on the flatness model of the mechanical actuator of the most downstream cold-rolling mill, optimal conditions for obtaining great flatness immediately downstream of the last cold-rolling mill are provided. The thickness profile target may be determined to reflect a flatness model associated with one or more of the at least one mechanical actuator of the most downstream cold rolling mill.

The flatness model may vary depending on the width of the strip. That is, at a first width of the strip, one mechanical actuator may have a first flatness model, and at a second width of the strip different from the first width, the mechanical actuator may have a second flatness model different from the first flatness model. can The flatness model may also depend on a variety of other parameters.

The flatness data may include the measured flatness of the strip. The flatness data may include measured flatness of the strip after passing through subsequent processes for each of the at least one cold rolling mill. Subsequent processes may be, for example, a strip coiling process, a strip uncoiling process, and/or a galvanizing or aluminizing process.

In this variant, the method may utilize flatness effects on the strip from one or more subsequent processes, i.e. processes downstream of the most downstream cold rolling mill. By determining the thickness profile target based on the flatness effect by a subsequent process, the flatness effect can be matched with the inlet profile thickness of the strip, thereby reducing or eliminating flatness errors. Besides, the risk of strip breakage is reduced or eliminated because the flatness effect by the subsequent process is compensated for on the hot-rolled side and not on the cold-rolled side.

Flatness data may be determined by one or more shape metric. The shape meter may be, for example, a stressometer. The flatness data including measured flatness of the strip may include a plurality of flatness measurements along the length of the strip.

A thickness profile target can be determined based on the width of the strip. That is, a thickness profile target can be determined based on the flatness data and the width of the strip.

According to a further aspect, there is provided a control system for controlling the flatness of a strip of rolled material in a production line comprising a hot rolling mill and at least one cold rolling mill downstream of the hot rolling mill, the control system comprising at least one data A processing device and at least one memory in which a computer program is stored, wherein the at least one computer program includes program code, and the program code, when executed by one or more of the at least one data processing device, transmits at least one data determining flatness data associated with the strip at one or more of the at least one cold rolling mill and/or after passage of the strip through one or more of the at least one cold rolling mill; determining a thickness profile target for the strip for the hot rolling mill based on the flatness data; and controlling the thickness adjustment of the strip based on the thickness profile target as the strip passes through the hot rolling mill.

The control system can provide control signals to the hot rolling mill based on the thickness profile target to control the thickness profile of the strip. The control system may include, for example, a thickness profile controller and a flatness controller. In this case, the thickness profile controller and the flatness controller may comprise at least one data processing device and at least one memory, as defined above.

According to a further aspect, there is provided a production line comprising a hot rolling mill, at least one cold rolling mill downstream of the hot rolling mill, and a control system according to the present disclosure. A production line according to this aspect may be of any type according to the present disclosure.

Additional details, advantages, and aspects of the present disclosure will become apparent from the following embodiments provided in conjunction with the drawings.
1 schematically shows the production line.
Figure 2 schematically represents a typical flatness model and a typical thickness profile target.

Hereinafter, a method for controlling the flatness of a strip of rolled material in the production line, a control system for controlling the flatness of a strip of rolled material in the production line, and a production line including the control system will be described. The same or similar reference numbers will be used to designate the same or similar structural features.

1 schematically shows a production line 10 . The production line 10 includes a plurality of hot rolling mills 12 and a plurality of cold rolling mills 14 . A cold rolling mill 14 is arranged downstream of the hot rolling mill 12 . In the example of FIG. 1 , the production line 10 includes two hot rolling mills 12 and five cold rolling mills 14 . Thus, the production line 10 includes a hot rolling side comprising a hot rolling mill 12 and a cold rolling side comprising a cold rolling mill 14 .

Figure 1 further shows a strip 16 of rolled material, for example aluminum. In FIG. 1 , strip 16 is conveyed to the right through each hot rolling mill 12 and through each cold rolling mill 14 . In this example, hot rolling mill 12 and cold rolling mill 14 each consist of a multi-stand tandem mill. In the first hot rolling mill 12, the strip 16 is a slab that is pressed between rolls to reduce its thickness.

Production line 10 of this example further includes a plurality of thickness profile measuring devices 18 . However, the production line 10 may alternatively include only one thickness profiling device 18 downstream of the last hot rolling mill 12 . Each thickness profile measurement device 18 is configured to measure the thickness profile of the strip 16 . In the example of FIG. 1 , one thickness profile measuring device 18 is arranged upstream of the most upstream hot rolling mill 12, and one thickness profile measuring device 18 is arranged upstream of the most downstream hot rolling mill 12. , one thickness profile measuring device 18 is arranged between each pair of adjacent hot rolling mills 12 .

Each hot rolling mill 12 includes a plurality of rolls 20 and one or more mechanical actuators 22 for controlling the rolls 20 . Similarly, each cold rolling mill 14 includes a plurality of rolls 24 and one or more mechanical actuators 26 to control the rolls 24 . Each hot rolling mill 12 and each cold rolling mill 14 also includes a thermal actuator (not shown).

Each hot rolling mill 12 is configured to modify the thickness profile of the strip 16 with its mechanical actuator 22 . To this end, each hot rolling mill 12 is controlled based on a thickness profile target. The thickness profile target represents the change in thickness across the width of the strip 16 through the hot rolling mill 12 .

Each cold rolling mill 14 is configured to correct the flatness of the strip 16 with its mechanical actuator 26 . To this end, each cold rolling mill 14 is controlled by one or more flatness models. Each flatness model defines a flatness effect on the strip 16 caused by one of the mechanical actuators 26 .

Production line 10 of this particular example further includes a coiler 28 , an uncoiler 30 , and a galvanizing or aluminizing station 32 . Each of the coiler 28, uncoiler 30, and galvanizing or aluminizing station 32 constitutes an example of a subsequent process for each of the cold rolling mills 14. The production line 10 of this particular example further includes a cleaning and pickling station 34 between the hot rolled and cold rolled sides.

The production line 10 further includes a plurality of shape measuring instruments 36 . Each shape meter 36 is configured to measure the flatness of the strip 16 . 1, one shape meter 36 is arranged upstream of the most upstream cold rolling mill 14, and one shape meter 36 is arranged downstream of the last cold rolling mill 14; One shape meter 36 is arranged between each pair of adjacent cold rolling mills 14 . A shape meter 36 is also arranged downstream of the uncoiler 30, ie between the uncoiler 30 and the galvanizing or aluminizing station 32.

Production line 10 further includes a control system 38 . Control system 38 includes at least one data processing device 40 and at least one memory 42 . In FIG. 1 , the control system 38 is shown as including two data processing devices 40 and two memories 42 . The at least one memory (42) includes program code, which, when executed by one or more of the at least one data processing device (40), is described herein as one or more of the at least one data processing device (40). To perform various steps as described in, or to command the execution.

In this particular example, control system 38 includes thickness profile controller 44 and flatness controller 46 . Each of thickness profile controller 44 and flatness controller 46 includes a data processing device 40 and memory 42 . However, the control system 38 for controlling the production line 10 may be implemented in other ways.

Flatness controller 46 controls cold rolling mill 14 based on signals received from cold rolling mill 14 and/or from shape gauge 36 to minimize flatness errors. Thickness profile controller 44, based on signals received from hot rolling mill 12 and/or thickness profile measuring device 18 and from flatness controller 46, controls hot rolling mill 12 to profile the thickness. Minimize errors.

The deformation of the thickness profile of the strip 16 induced by rolling is a function of several factors, for example, the temperature of the strip 16, the aspect ratio of the strip 16, i.e., the width divided by the thickness, and the coefficient of friction for the strip entrance thickness. Depends on the ratio. The main factor is the aspect ratio of the strip 16. When the aspect ratio is greater than 30, the deformation of the strip 16 is essentially a planar deformation, i.e., the strip 16 decreases in thickness and increases in length, with little or no change in width. In cold rolling, especially when rolling thin strip 16, the aspect ratio is generally much greater than 30. In hot rolling, on the other hand, the aspect ratio is generally less than 30, especially at the most upstream hot rolling mill(s) 12, so that the profile deformation of the strip 16 is accompanied by a significant increase in the width of the strip 16. occur together

As the aspect ratio increases, the ability to change the thickness profile of the strip 16 decreases. Conversely, the ability to correct shape defects of the strip 16 is increased and is greatest at the last or most downstream cold rolling mill 14.

In cold rolling, the thickness profile of the strip 16 and the flatness of the strip 16 are related. This means that if the roll gap can be provided to reflect the thickness profile of the incoming strip 16, i.e. the same elongation across the strip 16, there will be fewer or no flatness defects in cold rolling. The thickness profile of the strip 16 is mainly built up on the hot rolling side. Downstream on the hot-rolled side, the strip 16 is too cold and too thin for its width to change its thickness profile without causing shape problems. As such, it is difficult or impossible to change the thickness profile of the strip 16 on the cold rolled side without causing flatness problems.

2 schematically shows an example of a typical flatness model 48 and a typical thickness profile target 50 . The flatness model 48 is a combination of a 2nd order polynomial and a 4th order polynomial. Flatness model 48 of mechanical actuator 26 is one example of flatness data associated with strip 16 in cold rolling mill 14 . Multiple flatness models 48 may be determined for one mechanical actuator 26 . In particular, one or more flatness models 48 may be determined for the mechanical actuators 26 of the most downstream cold rolling mills 14 .

The thickness profile target 50 of FIG. 2 is a second order polynomial. The thickness profile target 50 is 1% thicker at the center of the strip 16 . The thickness profile target 50 of FIG. 2 thus has a 1% crown.

As shown in FIG. 2 , there is a difference between the thickness profile target 50 and the flatness model 48 . This difference makes it difficult for the cold rolling mill 14 to maintain the incoming thickness profile within the roll bite and thus to achieve good flatness.

By allowing the thickness profile target 50 to more closely match the flatness model 48, the mechanical actuator 26 of the cold rolling mill 14 can better resolve flatness errors with its roll gap. To this end, flatness controller 46 is further configured to determine one or more flatness models 48 for one or more mechanical actuators 26 . Thickness profile controller 44 may receive one or more flatness models 48 from flatness controller 46 and, based on the combination of flatness models 48, thickness profile targets for one or more hot rolling mills 12 ( 50) can be determined. The thickness profile target determined in this way is not limited to a polynomial or combination of polynomials, but may be expressed in other ways. Thickness profile target 50 may include, for example, one or more flatness models 48, one or more measured flatness (eg, measured flatness immediately downstream of the last cold rolling mill 14), and a thickness profile target 50 ) as training data and can be determined by machine learning.

The thickness profile target 50 is based on one or more flatness models 48 that can actually be achieved by each mechanical actuator 26 . Accordingly, the mechanical actuators 26 of the cold rolling mill 14 can be matched to the thickness profile from the hot rolling mill 12 to reduce flatness errors.

Even if good flatness is obtained at the most downstream cold rolling mill 14, this flatness may be changed in subsequent processes, for example when strip 16 is coiled and uncoiled. This variation may depend on, for example, the cooling effect and where a particular section of strip 16 is placed within the coil. Accordingly, thickness profile target 50 may be determined based on the measured flatness of strip 16 after passing through any subsequent processes 28, 30, 32. The measured flatness of strip 16 also constitutes an example of flatness data. As shown in FIG. 1 , the flatness of strip 16 is measured immediately upstream of coiler 28 and immediately downstream of uncoiler 30 . The flatness effect of coiling and uncoiling can then be determined based on the difference between these measured flatnesses. By determining the thickness profile target 50 based on the flatness effects from coiling and uncoiling, the strip 16 can be flatter after uncoiling. Also, since the flatness effect from coiling and uncoiling is resolved on the hot-rolled side and not on the cold-rolled side, the risk of strip breakage is reduced.

Although the present disclosure has been described with reference to exemplary embodiments, it will be understood that the present invention is not limited to the foregoing. For example, it will be appreciated that the dimensions of the components may vary as desired. Accordingly, the present invention may only be limited by the scope of the appended claims.

Claims (12)

A method for controlling the flatness of a strip (16) of rolled material in a production line (10) comprising a hot rolling mill (12) and at least one cold rolling mill (14) downstream of the hot rolling mill (12), comprising:
- determining flatness data associated with the strip (16) at one or more of the at least one cold rolling mill (14) and/or after passage of the strip (16) through one or more of the at least one cold rolling mill (14). ;
- determining the thickness profile target 50 of the strip 16 for the hot rolling mill 12 based on the flatness data; and
- passing the strip (16) through a hot rolling mill (12) and adjusting the thickness of the strip (16) based on the thickness profile target (50). According to claim 1,
Each cold rolling mill (14) includes at least one mechanical actuator (26) arranged to control one or more rolls (24) of the cold rolling mill (14), the flatness data being transmitted to the at least one mechanical actuator (26). and a flatness model (48) associated with one of the flatness models (48) defines the effect on the strip (16) by the mechanical actuator (26). According to claim 2,
The production line (10) includes a plurality of cold rolling mills (14), and the flatness data is a flatness model (48) associated with each one or more of the at least one mechanical actuator (26) for the plurality of cold rolling mills (14). ), wherein the determination of the thickness profile target 50 comprises determining the thickness profile target 50 of the strip 16 for the hot rolling mill 12 that optimally matches the combination of the flatness model 48. Including, how. According to claim 2 or 3,
The production line 10 includes a plurality of cold rolling mills 14, and flatness data is obtained by determining a flatness model 48 associated with one or more of the at least one mechanical actuator 26 of the most downstream cold rolling mill 14. Including, how. According to claim 4,
wherein the thickness profile target (50) is determined to reflect a flatness model (48) associated with each one or more of the at least one mechanical actuator (26) of the most downstream cold rolling mill (14). According to claim 2 or 3,
The flatness model (48) depends on the width of the strip (16). According to any one of claims 1 to 3,
wherein the flatness data comprises the measured flatness of the strip (16). According to claim 7,
The flatness data comprises the measured flatness of the strip (16) after passing through subsequent processes (28, 30, 32) for each of the at least one cold rolling mill (14). According to any one of claims 1 to 3,
wherein the flatness data is determined by one or more shape metric (36). According to any one of claims 1 to 3,
wherein the thickness profile target is determined based on the width of the strip (16). A control system ( 38), wherein the control system 38 comprises at least one data processing device 40 and at least one memory 42 in which at least one computer program is stored, the at least one computer program comprising a program code , the program code, when executed by one or more of the at least one data processing device 40, the one or more of the at least one data processing device 40:
- determining flatness data associated with the strip (16) at one or more of the at least one cold rolling mill (14) and/or after passage of the strip (16) through one or more of the at least one cold rolling mill (14). ;
- determining the thickness profile target 50 of the strip 16 for the hot rolling mill 12 based on the flatness data; and
- a control system (38), to perform a step of controlling the thickness adjustment of the strip (16) based on the thickness profile target (50) as the strip (16) passes through the hot rolling mill (12). A production line (10) comprising a hot rolling mill (12), at least one cold rolling mill (14) downstream of the hot rolling mill (12), and a control system (38) according to claim 11.

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