Preset method

Abstract

To provide a preset method that can calculate appropriate preset values. [Solution] A preset method is used to calculate preset values ​​for at least one set value in the shape control actuator of the cold rolling mill. The preset method calculates the MC actual value for the cold rolling performed in the past. Based on the MC actual value, the preset method calculates the MC target value for the rolled material to be produced in the next cold rolling. The preset method selects the set value such that the difference between the predicted MC value and the MC target value for the next cold rolling is minimized, and sets the selected set value as the preset value.

Description

[Technical Field]

[0001] This disclosure relates to a preset method. [Background technology]

[0002] A cold rolling mill uses work rolls to perform cold rolling and produce rolled material. A cold rolling mill is equipped with shape control actuators. Examples of shape control actuators include work roll benders. A work roll bender controls the deflection of the work rolls by adjusting the work roll bending force applied to them. By controlling the deflection of the work rolls, the shape of the rolled material can be changed.

[0003] Before starting cold rolling, the work roll bending force is preset to an initial value. This preset initial value is then used as the default value. A method for presetting the work roll bending force is disclosed in Patent Document 1. After starting cold rolling, the work roll bending force is modified as needed by feedback packing based on the shape of the rolled material. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2003-53409 [Overview of the project] [Problems that the invention aims to solve]

[0005] In the method disclosed in Patent Document 1, the preset values ​​for set values ​​such as work roll bending force may deviate from appropriate values ​​at times such as when changing material types or immediately after replacing the work roll weight. In this case, the difference between the shape of the leading edge of the rolled material and the target shape becomes large, which may lead to rolling troubles or quality abnormalities. One aspect of this disclosure is to provide a preset method that can calculate appropriate preset values ​​even at times such as when changing material types or immediately after replacing the work roll weight. [Means for solving the problem]

[0006] One aspect of this disclosure is a preset method for calculating at least one preset value for a shape control actuator in a cold rolling mill that performs cold rolling using work rolls to produce rolled material.

[0007] In the preset method, input data including the actual rolling load, the set value, and the predicted or actual value of the width distribution of thermal expansion in the work roll from past cold rolling operations are input to the model to calculate the MC actual value, which is a vector of ratios of the width of the mechanical plate crown to the center thickness at one or more width positions P in the rolled material. The ratio of the width of the mechanical plate crown to the center thickness is the value obtained by dividing the mechanical plate crown by the width of the center thickness. The ratio of the width of the mechanical plate crown to the center thickness is calculated for each of the multiple width positions P, and the vector of these ratios is the MC actual value.

[0008] In the preset method, based on the MC actual values, the MC target value MC_g is calculated, which is a vector of target values ​​for the ratio of the width of the mechanical plate crown to the center plate thickness at one or more width positions P in the rolled material to be manufactured in the next cold rolling.

[0009] In the preset method, the setting value for the next cold rolling operation is selected such that the norm of the difference Δ, represented by the following equation (1), is minimized, and the selected setting value is set as the preset value. Equation (1): Δ = MC_g - MC_n (In Equation (1), MC_n is a vector obtained by inputting prediction input data including a predicted value of the rolling load in the subsequent cold rolling, a set value in the subsequent cold rolling, and a predicted value or an actual value of the width distribution of the thermal expansion amount in the work roll immediately before the subsequent cold rolling into the model, and arranging predicted values of the ratio of the mechanical crown to the width center plate thickness at one or more width positions P.) According to the preset method which is one aspect of the present disclosure, an appropriate preset value can be calculated.

Brief Description of the Drawings

[0010] [Figure 1] It is a block diagram showing the configuration of a cold rolling mill. [Figure 2] It is a flowchart showing a method for the setting computer to preset the work roll bending force in the first embodiment. [Figure 3] Figure 3A is a graph showing the result of the simulation of the comparative example. Figure 3B is a graph showing the result of the simulation in the first embodiment. [Figure 4] It is an explanatory diagram showing the configuration of a table. [Figure 5] It is a flowchart showing a method for creating and updating a table. [Figure 6] It is a flowchart showing a method for the setting computer to preset the work roll bending force in the second embodiment. [Figure 7] Figure 7A is a graph showing the result of the simulation of the comparative example. Figure 7B is a graph showing the result of the simulation in the second embodiment. [Figure 8] It is a flowchart showing a method for the setting computer to preset the work roll bending force in the third embodiment. [Figure 9] Figure 9A is a graph showing the result of the simulation of the comparative example. Figure 9B is a graph showing the result of the simulation in the third embodiment. [Modes for carrying out the invention]

[0011] Exemplary embodiments of this disclosure will be described with reference to the drawings. <First Embodiment> 1. Configuration of cold rolling mill 1 The configuration of the cold rolling mill 1 will be explained based on Figure 1. The cold rolling mill 1 comprises work rolls 3A and 3B and backup rolls 5A and 5B. The work rolls 3A and 3B are arranged vertically. The backup rolls 5A and 5B sandwich the work rolls 3A and 3B vertically. The work rolls 3A and 3B are rotationally driven. The coil 7 is fed in direction X and cold-rolled between the work rolls 3A and 3B. The cold-rolled coil 7 becomes the rolled material 7A. The cold rolling mill 1 performs cold rolling using the work rolls 3A and 3B to produce the rolled material 7A.

[0012] The cold rolling mill 1 comprises a sensor group 11, a PLC (programmable logic controller) 13, a setting computer 15, a higher-level PC 17, and a shape control actuator 19. The sensor group 11 consists of multiple sensors. The sensor group 11 detects the rolling load, the thickness of the rolled material 7A, the shape of the rolled material 7A, the spray performance, the value of the shape control actuator 19, and the like.

[0013] The rolling load is the magnitude of the load applied to the coil 7 by the work rolls 3A and 3B. The spray performance data includes ON / OFF information for each spray nozzle, as well as spray pressure, spray flow rate, etc. The values ​​detected by the sensor group 11 are considered the performance values. The sensor group 11 sends the performance values ​​to the PLC 13. The PLC 13 collects the performance values ​​while cold rolling is being performed and sends the collected performance values ​​to the setting computer 15.

[0014] The setting calculator 15 comprises a setting calculation unit 15A and a learning calculation unit 15B. The setting calculation unit 15A calculates control information such as various setting values ​​and various parameters, including preset values, for the cold rolling mill 1. The learning calculation unit 15B performs learning calculation processing to improve the accuracy of the model calculation by the setting calculation unit 15A based on actual data. The setting calculator 15 acquires actual values ​​from the PLC 13. The setting calculator 15 also acquires basic information, including rolling conditions, from the higher-level PC 17. Rolling conditions include information such as the material of the target coil, the entry side plate thickness, the exit side target plate thickness, and the plate width.

[0015] The setting calculator 15 calculates control information based on actual values ​​and basic information. The control information includes preset values ​​for the shape control actuator 19. The setting calculator 15 sends the control information to the PLC 13. The PLC 13 sets the setting values ​​for the shape control actuator 19 based on the control information. Examples of shape control actuators 19 include work roll benders, intermediate roll benders, VCs, TPs, etc.

[0016] 2. Basic processing performed by the configuration calculator 15 Before starting cold rolling, the setting calculator 15 calculates preset values ​​for the shape control actuator 19 based on actual values ​​and basic information. The preset values ​​for the shape control actuator 19 include the preset value V_p, which will be described later. The calculated preset values ​​are preset in the shape control actuator 19. The method for calculating the preset value V_p will be described in detail later.

[0017] Furthermore, during cold rolling, the PLC13 calculates the set value for the shape control actuator 19 based on actual values. At this time, the PLC13 provides feedback to ensure that the shape of the rolled material 7A approaches the target shape, and calculates the set value for the shape control actuator 19. As a result, the set value for the shape control actuator 19 is corrected from the preset value to the newly calculated set value. The previous set value for the shape control actuator 19 is replaced with the newly calculated set value.

[0018] 3. How to set presets The preset method performed by the setting calculator 15 is explained based on Figure 2. The preset method is performed between cold rolling of one coil 7 and cold rolling of the next coil 7. Cold rolling performed before the preset method is a past cold rolling. Cold rolling performed immediately before the preset method is a past cold rolling. The past cold rolling is part of a past cold rolling. Cold rolling performed immediately after the preset method is the next cold rolling.

[0019] In step 1 of Figure 2, the setting calculator 15 calculates the MC actual value by inputting the input data from the cold rolling process performed immediately before into model M. The input data from the cold rolling process performed immediately before includes the following (a) to (c).

[0020] (a) Actual rolling load value from the cold rolling process performed immediately before. (b) The set value V of the work roll bending force in the cold rolling process performed immediately before. (c) Predicted values ​​of the width distribution of thermal expansion in work rolls 3A and 3B during the cold rolling process performed immediately prior.

[0021] The values ​​in (a) and (b) are part of the actual values. The setting calculator 15 obtains actual values ​​from the PLC 13, such as the rolling load in the cold rolling process performed immediately before, the amount of coolant supplied to the coil 7 and work rolls 3A and 3B, the rolling speed, and the plate thickness. Based on these obtained actual values, the setting calculator 15 predicts the value of (c).

[0022] The values ​​in (a) to (c) are those of a portion of the coil 7 that was cold-rolled immediately beforehand, at a predetermined longitudinal position. The longitudinal position is the position in the longitudinal direction of the coil 7. A predetermined longitudinal position is, for example, a position near the tail end of the coil 7.

[0023] Model M is, for example, stored in the pre-configuration calculator 15. Model M outputs MC performance values ​​when input data is received. Model M can be updated, for example, by learning performed by the learning calculation unit 15B.

[0024] The MC performance value is a vector representing the ratio of the width of the mechanical plate crown to the center plate thickness at one or more width positions P in the rolled material 7A. The width position P is the position in the width direction of the coil 7. The meaning of the mechanical plate crown at width position P is as follows:

[0025] Assume that a uniform load is applied to coil 7 in the width direction. The position of coil 7 that is in the center in the width direction is called the center position Pc. The longitudinal position of width position P and the center position Pc are the same. The thickness of coil 7 at the center position Pc is the width center thickness D. Pc Let D be the thickness of the coil 7 at width position P. P The mechanical plate crown at width position P is defined as the width center plate thickness D. Pc From plate thickness D P This is the value after subtracting the following. The mechanical plate crown is measured in width and center plate thickness D. Pc The value obtained by dividing by this is the ratio of the width of the mechanical plate crown to the thickness of the central plate.

[0026] In step 2, the setting calculator 15 calculates the MC target value MC_g based on the MC actual value calculated in step 1. The MC target value MC_g is a vector of target values ​​for the ratio of the width of the mechanical plate crown to the center plate thickness at one or more width positions P in the rolled material 7A to be manufactured in the next cold rolling. In this embodiment, the setting calculator 15 uses the MC actual value calculated in step 1 as the MC target value MC_g.

[0027] In step 3, the setting calculator 15 calculates a preset value V_p for the work roll bending force. The calculation method is as follows: The setting calculator 15 selects the value of (b'), described later, such that the norm of the difference Δ expressed by equation (1) is minimized.

[0028] Equation (1) Δ = MC_g - MC_n In equation (1), MC_g is the MC target value MC_g calculated in step 2. In equation (1), MC_n is the value obtained by inputting the predicted input values ​​for the next cold rolling process into model M. The predicted input values ​​correspond to the input values ​​entered into model M. MC_n is a vector of predicted values ​​of the ratio of the width of the mechanical plate crown to the center plate thickness at one or more width positions P in the rolled material 7A to be manufactured in the next cold rolling process. The predicted input values ​​include the contents of (a') to (c') below.

[0029] (a') Predicted value of the rolling load for the next cold rolling operation. (b') The set value V for the work roll bending force in the cold rolling process to be performed next. (c') Predicted values ​​of the width distribution of thermal expansion in work rolls 3A and 3B immediately before the next cold rolling operation.

[0030] The setting calculator 15 predicts the value of (a') using a model calculation formula for rolling load with the rolling conditions as input. The setting calculator 15 obtains the amount of coolant supplied to the coil 7 and work rolls 3A and 3B, the rolling speed, the rolling load, the plate thickness, etc., for the rolling process up to just before the next cold rolling, from the actual values ​​and rolling conditions collected by the PLC 13. Based on these values, the setting calculator 15 predicts the value of (c').

[0031] The setting calculator 15 repeatedly calculates the norm of the difference Δ using equation (1) while gradually changing the value of (b'). For example, the setting calculator 15 calculates the norm of the difference Δ using equation (1) for each case where the value of (b') is V0, V0+δV, V0+2δV, V0+3δV, ...V0+mδV. δV is a sufficiently small value. m is a natural number. Based on the results, the setting calculator 15 selects the value of (b') that minimizes the norm of the difference Δ. The setting calculator 15 uses the selected value of (b') as the preset value V_p for the work roll bending force in the next cold rolling operation. Furthermore, a derivation method using mathematical optimization can be considered to calculate the preset value V_p more efficiently. For example, one can formulate the problem of minimizing the norm of the difference Δ by setting model M as a nonlinear model, and then find V_p using methods such as the steepest descent method or Newton's method. Alternatively, one could formulate the problem of minimizing the norm of the difference Δ using a linear model M as a function of quadratic programming, and then find V_p using quadratic programming.

[0032] In step 4, the setting calculator 15 presets the preset value V_p calculated in step 3 to the shape control actuator 19.

[0033] 4. Effects of the preset method (1A) According to the preset method of this disclosure, an appropriate preset value V_p can be calculated. An appropriate preset value V_p is a preset value V_p that can bring the shape of the rolled material 7A closer to the target shape. Furthermore, an appropriate preset value V_p is a preset value V_p that requires only a small amount of adjustment to the set value V after cold rolling has started.

[0034] The effects of the preset method of this embodiment were confirmed by the following simulation based on actual machine data. In the simulation, the preset value V_p was calculated using the preset method of this embodiment. This was then compared with the actual set value V after it had been corrected by manual intervention and feedback control in actual rolling.

[0035] The simulation assumptions were as follows: The material of coil 7, the width of coil 7, and the thickness of rolled material 7A were the same for both the cold rolling performed immediately before the preset method and the cold rolling performed immediately after the preset method. Furthermore, work rolls 3A and 3B were not exchanged between the cold rolling performed immediately before the preset method and the cold rolling performed immediately after the preset method.

[0036] Figure 3B shows the relationship between the preset value V_p and the modified setting value V. In Figure 3B, "WRB Calc" on the vertical axis represents the preset value V_p. In Figure 3B, "WRB Act" on the horizontal axis represents the modified setting value V. As shown in Figure 3B, the preset value V_p was close to the modified setting value V.

[0037] Figure 3A shows the simulation results for the comparative example. In the comparative example, the model described in Japanese Patent Publication No. 2003-53409 was used to calculate the preset value V_p, and other aspects were the same as in the simulation of this embodiment. In the comparative example, as shown in region 201 in Figure 3A, the modified set value V sometimes differed significantly from the preset value V_p.

[0038] This simulation confirmed that an appropriate preset value V_p can be calculated using the preset method of this embodiment.

[0039] <Second Embodiment> 1. Differences from the first embodiment The second embodiment has the same basic configuration as the first embodiment, so the differences will be explained below. Note that the same reference numerals as in the first embodiment indicate the same components, and refer to the preceding description.

[0040] In the first embodiment described above, the preset value V_p was calculated using the preset method shown in Figure 2. In contrast, the second embodiment differs from the first embodiment in that the table 101 shown in Figure 4 is created or updated using the method shown in Figure 5, and the preset value V_p is calculated using the preset method shown in Figure 6.

[0041] 2. Creation and Update Processing of Table 101 As shown in FIG. 4, Table 101 is composed of a plurality of data D1, D2, D3 ··· D n where n is a natural number of 2 or more. The data D i includes the MC performance value X i , the material type Y of the rolled material 7A i , and the rolling conditions Z i . Here, i is an arbitrary natural number from 1 to n. The MC performance value X i , the material type Y of the rolled material 7A i , and the rolling conditions Z i belonging to one data D i are associated. Examples of the rolling conditions Z i include the rolling load, the width of the rolled material 7A, the plate thickness of the rolled material 7A, etc. Table 101 is stored in the storage unit provided in the setting computer 15.

[0042] The MC performance value X i , the material type Y of the rolled material 7A i , and the rolling conditions Z i belonging to one data D i correspond to one or more cold rolling operations performed in the past. That is, the representative value or average value of the MC performance value X i in one or more cold rolling operations performed in the past, the material type Y of the rolled material 7A i in that cold rolling, and the rolling conditions Z i in that cold rolling constitute one data D i .

[0043] Therefore, Table 101 stores, for each of a plurality of cold rolling operations performed in the past, the MC performance value X i , the material type Y of the rolled material 7A<​​​​​​​​The setting calculator 15 performs the process shown in Figure 5 for each of the multiple cold rolling operations performed in the past, creates a table 101, and updates it. In step 11 of Figure 5, the setting calculator 15 calculates the MC actual value X for the cold rolling operation performed immediately before. i It will be described as follows: MC Actual Value X i The method for calculating is the same as in the first embodiment.

[0045] In step 12, the setting calculator 15 uses the MC actual value X calculated in step 11. i This is stored in the memory unit. The setting computer 15 also determines the material type Y of the rolled material 7A in the cold rolling process performed immediately before. i , and rolling conditions Z i , MC actual value X i Stored in memory in association with the value. Stored MC performance value X i , Rolled material 7A, material grade Y i , and rolling conditions Z i is one data D i This is included in Table 101.

[0046] Note that if the process shown in Figure 5 is performed for the first time when table 101 does not exist, a new table 101 will be created. If the process shown in Figure 5 is performed when table 101 already exists, one or more data D1, D2, D3...D that were already stored will be created. n Data D n+1 This is added, and Table 101 is updated.

[0047] 3. How to set presets Next, the preset method executed by the setting computer 15 of the second embodiment in place of the preset method of the first embodiment will be explained using the flowchart in Figure 6. The preset method is performed between the cold rolling of one coil 7 and the cold rolling of the next coil 7.

[0048] In step 21 of Figure 6, the setting computer 15 obtains the material type and rolling conditions for the rolled material 7A in the next cold rolling operation from the higher-level PC 17. In step 22, the setting calculator 15 selects the material type and rolling conditions for the rolled material 7A that are closest to those obtained in step 21 from among the material type and rolling conditions for the rolled material 7A included in table 101. Next, the setting calculator 15 extracts the MC actual values ​​associated with the selected material type and rolling conditions for the rolled material 7A from table 101.

[0049] In step 23, the setting calculator 15 uses the MC actual value extracted in step 22 as the MC target value MC_g. The processing in steps 24-25 is the same as the processing in steps 3-4 in the first embodiment.

[0050] 3. Effects of the preset method The second embodiment described in detail above provides the following effects.

[0051] (2A) The setting calculator 15 uses the actual MC value extracted from table 101 based on the material type and rolling conditions of the rolled material 7A in the next cold rolling operation as the MC target value MC_g. This makes it possible to perform preset calculations even in rolling immediately after WR replacement, when the information from the previous material cannot be used as is.

[0052] The effects of the preset method of this embodiment were confirmed by the following simulation based on actual machine data. In the simulation, the preset value V_p was calculated using the preset method of this embodiment. This was then compared with the actual set value V after it had been corrected by manual intervention and feedback control in actual rolling.

[0053] The simulation assumptions were as follows: Work rolls 3A and 3B were swapped between the cold rolling performed immediately before the preset method and the cold rolling performed immediately after the preset method. Figure 7B shows the relationship between the preset value V_p and the modified setting value V. In Figure 7B, "WRB Calc" on the vertical axis represents the preset value V_p. In Figure 7B, "WRB Act" on the horizontal axis represents the modified setting value V. As shown in Figure 7B, the preset value V_p was close to the modified setting value V.

[0054] Figure 7A shows the simulation results for the comparative example. In the comparative example, the model described in Japanese Patent Publication No. 2003-53409 was used to calculate the preset value V_p, and other aspects were the same as in the simulation of this embodiment. In the comparative example, the modified set value V sometimes differed significantly from the preset value V_p.

[0055] This simulation confirmed that an appropriate preset value V_p can be calculated using the preset method of this embodiment.

[0056] <Third Embodiment> 1. Differences from the second embodiment The third embodiment has the same basic configuration as the second embodiment, so the differences will be explained below. Note that the same reference numerals as in the second embodiment indicate the same components, and refer to the preceding description.

[0057] In the second embodiment described above, the preset value V_p was calculated using the preset method shown in Figure 6. In contrast, the third embodiment differs from the second embodiment in that the preset value V_p is calculated using the preset method shown in Figure 8.

[0058] 2. How to set presets Next, the preset method executed by the setting computer 15 of the third embodiment in place of the preset method of the second embodiment will be explained using the flowchart in Figure 8. The preset method is performed between cold rolling of one coil 7 and cold rolling of the next coil 7.

[0059] In step 31 of Figure 8, the setting computer 15 obtains the material type and rolling conditions for the rolled material 7A in the next cold rolling operation from the higher-level PC 17. In step 32, the setting calculator 15 selects the material type and rolling conditions for the rolled material 7A that are closest to those obtained in step 31 from among the material type and rolling conditions for the rolled material 7A included in table 101. Next, the setting calculator 15 extracts the MC actual values ​​associated with the selected material type and rolling conditions for the rolled material 7A from table 101.

[0060] In step 33, the setting calculator 15 uses the MC actual value extracted in step 32 as the first MC target value MC_g1. In step 34, the setting calculator 15 obtains the material type and rolling conditions of the rolled material 7A from the upper PC 17 in the cold rolling process performed immediately before.

[0061] In step 35, the setting calculator 15 selects the material type and rolling conditions for the rolled material 7A that are closest to those obtained in step 34 from among the material type and rolling conditions for the rolled material 7A included in table 101. Next, the setting calculator 15 extracts the MC actual values ​​associated with the selected material type and rolling conditions for the rolled material 7A from table 101.

[0062] In step 36, the setting calculator 15 uses the MC actual value extracted in step 35 as the second MC target value MC_g2. In step 37, the setting calculator 15 calculates the MC actual value by inputting the input data from the cold rolling process performed immediately before into model M. The method for calculating the MC actual value is the same as the process in step 1 in the first embodiment. Next, the setting calculator 15 sets the calculated MC actual value as the third MC target value MC_g3.

[0063] In step 38, the setting calculator 15 calculates the MC target value MC_g based on the first MC target value MC_g1, the second MC target value MC_g2, and the third MC target value MC_g3. Specifically, the MC target value MC_g is calculated using the following formula (2).

[0064] Formula (2) MC_g=MC_g3+α×(MC_g1−MC_g2) In equation (2), α is a coefficient. α is a positive constant. The processing in steps 39-40 is the same as the processing in steps 3-4 in the first embodiment.

[0065] 3. Effects of the preset method The third embodiment described in detail above achieves the effects of the first embodiment described above, and further achieves the following effects.

[0066] (3A) The setting calculator 15 calculates the MC target value MC_g based on the first MC target value MC_g1, the second MC target value MC_g2, and the third MC target value MC_g3. This makes it possible to create a preset that takes into account the impact of changes in material type on MC, based on the performance of previous materials.

[0067] The effectiveness of the preset method of this embodiment was confirmed by the following simulation based on actual data. In the simulation, the preset value V_p was calculated using the preset method of this embodiment. This was then compared with the actual set value V after it had been corrected by manual intervention and feedback control in actual rolling.

[0068] The simulation assumptions were as follows: The material of coil 7, the width of coil 7, or the thickness of rolled material 7A differed between the cold rolling performed immediately before the preset method and the cold rolling performed immediately after the preset method. Furthermore, work rolls 3A and 3B were not exchanged between the cold rolling performed immediately before the preset method and the cold rolling performed immediately after the preset method.

[0069] Figure 9B shows the relationship between the preset value V_p and the modified setting value V. In Figure 9B, "WRB Calc" on the vertical axis represents the preset value V_p. In Figure 9B, "WRB Act" on the horizontal axis represents the modified setting value V. As shown in Figure 9B, the preset value V_p was close to the modified setting value V.

[0070] Figure 9A shows the simulation results for the comparative example. In the comparative example, the model described in Japanese Patent Publication No. 2003-53409 was used to calculate the preset value V_p, and other aspects were the same as in the simulation of this embodiment. In the comparative example, the modified set value V sometimes differed significantly from the preset value V_p.

[0071] This simulation confirmed that an appropriate preset value V_p can be calculated using the preset method of this embodiment.

[0072] <Other Embodiments> Although embodiments of the present disclosure have been described above, the present disclosure is not limited to the embodiments described above and can be implemented in various modified forms.

[0073] (1) In the first to third embodiments, preset values ​​for intermediate roll vendor, VC, TP, etc. may be calculated by a preset method. (2) In the first embodiment, the method for calculating the MC target value MC_g may be other. For example, the value obtained by inputting the actual MC value into a predetermined function may be used as the MC target value MC_g. For example, the value obtained by multiplying the actual MC value by a predetermined coefficient may be used as the MC target value MC_g.

[0074] (3) In the first embodiment, the MC value is not necessarily the value calculated for the cold rolling performed immediately before. For example, the MC value may be the value calculated for the cold rolling performed n times ago, where n is a natural number greater than or equal to 2. The cold rolling performed immediately before and the cold rolling performed n times ago correspond to cold rolling performed in the past, respectively.

[0075] (4) In the first to third embodiments, the input data entered into Model M may include various manufacturing conditions and manufacturing results from past cold rolling operations. (5) In the second and third embodiments, the table 101 does not need to include either the material type or rolling conditions of the rolled material 7A.

[0076] (6) In the first to third embodiments, actual values ​​of the thermal expansion width distribution in work rolls 3A and 3B may be used instead of predicted values ​​of the thermal expansion width distribution in work rolls 3A and 3B. Actual values ​​of the thermal expansion width distribution in work rolls 3A and 3B can be measured, for example, using the sensor group 11. (7) In the first to third embodiments, two or more preset values ​​may be calculated.

[0077] (8) The setting computer 15 and its method described herein may be implemented by a dedicated computer provided by configuring a processor and memory programmed to perform one or more functions embodied by a computer program. Alternatively, the setting computer 15 and its method described herein may be implemented by a dedicated computer provided by configuring a processor by one or more dedicated hardware logic circuits. Alternatively, the setting computer 15 and its method described herein may be implemented by one or more dedicated computers configured by a combination of a processor and memory programmed to perform one or more functions and a processor configured by one or more hardware logic circuits. Furthermore, the computer program may be stored as instructions executed by the computer on a computer-readable non-transitional tangible recording medium. The method for implementing the functions of each part included in the setting computer 15 does not necessarily have to include software, and all of its functions may be implemented using one or more hardware components.

[0078] (9) The function of one component in each of the above embodiments may be divided among multiple components, or the function of multiple components may be performed by one component. Also, some of the configurations of each of the above embodiments may be omitted. Also, at least some of the configurations of each of the above embodiments may be added to, replaced with, etc., the configurations of other embodiments.

[0079] (10) In addition to the preset method described above, the present disclosure can also be realized in various forms, such as a setting computer 15, a program for causing the computer to function as the setting computer 15, a non-transitional physical recording medium such as a semiconductor memory on which this program is recorded, a method for manufacturing the setting computer 15, a method for manufacturing the rolled material 7A, etc. [Explanation of symbols]

[0080] 1...Cold rolling mill, 3A, 3B...Work rolls, 5A, 5B...Backup rolls, 7...Coil, 7A...Rolled material, 11...Sensor group, 13...PLC, 15...Setting calculator, 15A...Setting calculation unit, 15B...Learning calculation unit, 19...Shape control actuator, 101...Table, 201...Area

Claims

1. A preset method for calculating at least one preset value for a shape control actuator in a cold rolling mill that performs cold rolling using work rolls to manufacture rolled material, By inputting data into the model, including the actual rolling load, the set value, and the predicted or actual value of the width distribution of thermal expansion in the work roll from the cold rolling process performed in the past, the MC actual value is calculated, which is a vector of ratios of the width of the mechanical plate crown to the thickness at the center of the plate at one or more width positions P in the rolled material. Based on the aforementioned MC performance values, the MC target value MC_g is calculated, which is a vector of target values ​​representing the ratio of the width of the mechanical plate crown to the central plate thickness at one or more width positions P in the rolled material produced by the subsequent cold rolling. The setting value for the next cold rolling operation is selected such that the norm of the difference Δ, represented by the following equation (1), is minimized, and the selected setting value is set as the preset value. How to set presets. Formula (1) Δ=MC_g−MC_n (In equation (1), MC_n is a vector obtained by inputting prediction input data into the model, which includes the predicted value of the rolling load in the next cold rolling operation, the set value in the next cold rolling operation, and the predicted or actual value of the width distribution of the thermal expansion amount in the work roll immediately before the next cold rolling operation. This vector represents the predicted values ​​of the ratio of the width of the mechanical plate crown to the thickness at the center of the plate at one or more width positions P.)

2. A preset method according to claim 1, The MC actual value is calculated by inputting the input data, which includes the actual value of the rolling load at a predetermined longitudinal position in the cold rolling operation performed immediately before, the set value, and the predicted or actual value of the width distribution of the thermal expansion amount in the work roll, into the model. The MC performance value is set to the MC target value. How to set presets.

3. A preset method according to claim 1, For each of the multiple cold rolling operations performed in the past, the MC performance value calculated at the time when the shape of the leading edge of the rolled material stabilizes is associated with the material type or rolling conditions of the rolled material and stored in the memory unit to create a table. From the table, extract the MC performance value associated with the material type or rolling conditions of the rolled material that is closest to the material type or rolling conditions of the rolled material to be used in the next cold rolling operation, and set the extracted MC performance value as the MC target value. How to set presets.

4. A preset method according to claim 1, For each of the multiple cold rolling operations performed in the past, the MC performance value calculated at the time when the shape of the leading edge of the rolled material stabilizes is associated with the material type or rolling conditions of the rolled material and stored in the memory unit to create a table. From the table, extract the MC performance value associated with the material type or rolling conditions of the rolled material that is closest to the material type or rolling conditions of the rolled material to be used in the next cold rolling operation, and set the extracted MC performance value as the first MC target value. From the table, extract the MC performance value associated with the material type or rolling conditions of the rolled material that is closest to the material type or rolling conditions of the rolled material in the cold rolling process performed immediately before, and set the extracted MC performance value as the second MC target value. By inputting the input data, which includes the actual value of the rolling load at a predetermined longitudinal position in the cold rolling process performed immediately before, the set value, and the predicted or actual value of the width distribution of thermal expansion in the work roll, into the model, a third MC target value is calculated, which is a vector of ratios of the width of the mechanical plate crown to the plate thickness at one or more width positions P. Based on the first MC target value, the second MC target value, and the third MC target value, the MC target value is calculated. How to set presets.

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