Methods, devices and electronic equipment for predicting rolling force in cold rolling mills

Abstract

This application relates to the field of steel rolling technology, and discloses a method, apparatus, and electronic equipment for predicting the rolling force of a cold rolling mill. The method includes: constructing a speed-rolling force relationship model based on the rolling speed and rolling force of the cold rolling mill; constructing a flow-rate-rolling force relationship model based on the roll gap flow rate and rolling force of the cold rolling mill; constructing a rolling force prediction model based on the speed-rolling force relationship model and the flow-rate-rolling force relationship model; obtaining the actual rolling speed and actual roll gap flow rate of the cold rolling mill; and determining the actual rolling force of the cold rolling mill based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model. The technical solution proposed in this application can improve the accuracy of rolling force prediction for cold rolling mills and enhance the production stability and manufacturing capability of cold rolling mills.

Description

Technical Field

[0001] This application relates to the field of steel rolling technology, and discloses a method, apparatus and electronic equipment for predicting the rolling force of a cold rolling mill. Background Technology

[0002] Rolling force accuracy is one of the key indicators for evaluating the accuracy of cold rolling models, and its accuracy directly affects the dimensional control accuracy and rolling stability of cold rolling mills. The rolling force of cold rolling mills is usually calculated using the Hill formula. In the rolling process, the friction coefficient used in the rolling force calculation is the high-speed steady-state value, and the predicted rolling force is also the high-speed steady-state rolling force.

[0003] However, the friction state during rolling is complex and variable, and existing rolling force models cannot achieve real-time and accurate prediction of rolling force. Therefore, this application proposes a method for predicting cold rolling force, which can improve the prediction accuracy of rolling force for cold rolling mills to a certain extent. Summary of the Invention

[0004] This application relates to the field of steel rolling technology, and discloses a method, apparatus, and electronic equipment for predicting the rolling force of a cold rolling mill. It can improve the accuracy of rolling force prediction for cold rolling mills to a certain extent.

[0005] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0006] According to one aspect of the embodiments of this application, a method for predicting the rolling force of a cold rolling mill is provided, the method comprising:

[0007] In one embodiment of this application, based on the aforementioned scheme, a speed-rolling force relationship model is constructed based on the rolling speed and rolling force of the cold rolling mill; a flow-rate-rolling force relationship model is constructed based on the roll gap flow rate and rolling force of the cold rolling mill, wherein the roll gap flow rate is the lubricant flow rate at the roll gap position; a rolling force prediction model is constructed based on the speed-rolling force relationship model and the flow-rate-rolling force relationship model; the actual rolling speed and the actual roll gap flow rate of the cold rolling mill are obtained; and the actual rolling force of the cold rolling mill is determined according to the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model.

[0008] In one embodiment of this application, based on the foregoing scheme, the speed-rolling force relationship model includes:

[0009] f(v) = k·v + m

[0010] Where f(v) is the first rolling force, k is the speed adaptation parameter, v is the rolling speed, and m is the rolling force corresponding to the set rolling speed.

[0011] In one embodiment of this application, based on the foregoing scheme, the flow rate rolling force relationship model includes:

[0012] f(d) = n·d p

[0013] Where f(d) is the second rolling force, n is the rolling force corresponding to the set roll gap flow rate, d is the roll gap flow rate, and p is the roll gap flow rate adaptation parameter.

[0014] In one embodiment of this application, based on the foregoing scheme, the method further includes: constructing an initial rolling force model based on the strip reduction of the cold rolling mill and the roll flattening radius of the cold rolling mill.

[0015] In one embodiment of this application, based on the foregoing scheme, the initial rolling force model includes:

[0016] z = z₁ + z₂ + z₃;

[0017]

[0018]

[0019]

[0020]

[0021]

[0022] Δh = Hh;

[0023] Where z is the initial rolling force, z1 is the rolling force in the plastic deformation zone, z2 is the rolling force in the elastic compression zone, z3 is the rolling force in the elastic recovery zone, and k fm R' is the average deformation resistance, Δh is the roll flattening radius, and Q is the strip reduction. p n is the external friction influence coefficient. t t is the tension influence coefficient, h is the strip thickness after rolling, and t is the strip thickness after rolling. f ε is the pre-tension stress, v is the Poisson's ratio of the rolled piece, E is the Young's modulus of the rolled piece, ε is the reduction rate, f is the coefficient of friction, H is the thickness of the strip before rolling, and μ is the tensile stress. t t are the weighting coefficients. b This refers to the post-tension stress.

[0024] In one embodiment of this application, based on the foregoing scheme, the method further includes: obtaining the actual pre-rolling strip thickness and the actual post-rolling strip thickness of the cold rolling mill; and determining the actual strip reduction of the cold rolling mill based on the actual pre-rolling strip thickness and the actual post-rolling strip thickness.

[0025] In one embodiment of this application, based on the foregoing scheme, the method further includes: obtaining the actual roll flattening radius of the cold rolling mill; determining the initial rolling force of the cold rolling mill based on the actual strip reduction, the actual roll flattening radius, and the initial rolling force model, wherein the initial rolling force is the rolling force to be corrected for the cold rolling mill.

[0026] In one embodiment of this application, based on the foregoing scheme, the rolling force prediction model includes:

[0027]

[0028] Where f(z) is the actual rolling force, z is the initial rolling force, k is the speed adaptation parameter, v is the actual rolling speed, and d is the actual roll gap flow rate. max denoted as the maximum roll gap flow rate of the cold rolling mill, and p is the roll gap flow rate adaptation parameter.

[0029] According to one aspect of the embodiments of this application, a rolling force prediction device for a cold rolling mill is provided. The device includes: a first construction unit, configured to construct a speed-rolling force relationship model based on the rolling speed and the rolling force of the cold rolling mill; a second construction unit, configured to construct a flow-rate-rolling force relationship model based on the roll gap flow rate and the rolling force of the cold rolling mill, wherein the roll gap flow rate is the flow rate of lubricating fluid at the roll gap position; a third construction unit, configured to construct a rolling force prediction model based on the speed-rolling force relationship model and the flow-rate-rolling force relationship model; an acquisition unit, configured to acquire the actual rolling speed and the actual roll gap flow rate of the cold rolling mill; and a determination unit, configured to determine the actual rolling force of the cold rolling mill based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model.

[0030] According to one aspect of the embodiments of this application, an electronic device is provided, the electronic device including one or more processors and one or more memories, the one or more memories storing at least one piece of program code, the at least one piece of program code being loaded and executed by the one or more processors to implement the method for predicting the rolling force of a cold rolling mill as described in any of the above embodiments.

[0031] In the technical solution proposed in this application, a speed-rolling force relationship model is constructed based on the rolling speed and rolling force of the cold rolling mill; a flow-rate-rolling force relationship model is constructed based on the roll gap flow rate and rolling force of the cold rolling mill; a rolling force prediction model is constructed based on the speed-rolling force relationship model and the flow-rate-rolling force relationship model; the actual rolling speed and actual roll gap flow rate of the cold rolling mill are obtained; and the actual rolling force of the cold rolling mill is determined according to the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model. The technical solution proposed in this application determines the actual rolling force of the cold rolling mill by obtaining the actual rolling speed and actual roll gap flow rate of the cold rolling mill and by using the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model. Therefore, the technical solution proposed in this application can solve the problem of the inability to predict the rolling force of cold rolling mills in real time, and can achieve the goal of improving the accuracy of rolling force prediction of cold rolling mills, as well as improving the production stability and manufacturing capability of cold rolling mills.

[0032] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0033] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0034] Figure 1 A flowchart of the method for predicting the rolling force of a cold rolling mill in an embodiment of this application is shown;

[0035] Figure 2 A schematic diagram showing the relationship between rolling speed and rolling force in a specific embodiment of this application is illustrated.

[0036] Figure 3 A schematic diagram showing the relationship between roll gap flow and rolling force in a specific embodiment of this application is shown;

[0037] Figure 4 A block diagram of the rolling force prediction device for a cold rolling mill according to an embodiment of this application is shown;

[0038] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0039] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.

[0040] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0041] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily need to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0042] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0043] It should be noted that "multiple" in this article refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0044] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such uses of these terms can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described.

[0045] The implementation details of the technical solutions in the embodiments of this application are described in detail below:

[0046] Figure 1 A flowchart of the method for predicting the rolling force of a cold rolling mill in an embodiment of this application is shown.

[0047] like Figure 1 As shown, the method for predicting the rolling force of the cold rolling mill includes at least steps 110 to 150.

[0048] The following will be about Figure 1 Steps 110 to 150 are described in detail below:

[0049] In step 110, a speed-rolling force relationship model is constructed based on the rolling speed and rolling force of the cold rolling mill.

[0050] In this application, during the strip rolling process of the cold rolling mill, a lubricating fluid is provided at the roll gap position of the cold rolling mill. The lubricating fluid can be an emulsion or other liquid that can play a lubricating role during the strip rolling process. The roll gap flow rate of the cold rolling mill can be understood as the lubricating fluid flow rate at the roll gap position of the cold rolling mill. Under the condition that the lubricating fluid flow rate at the roll gap position of the cold rolling mill is the maximum flow rate, a speed-rolling force relationship model is constructed based on the rolling speed and rolling force of the cold rolling mill. The maximum flow rate can be used to characterize the maximum lubrication effect that the cold rolling mill can provide.

[0051] A higher flow rate of lubricating fluid at the roll gap of a cold rolling mill results in better lubrication, lower friction, lower rolling force, and lowest rolling energy consumption. Furthermore, a higher rolling speed in the cold rolling mill leads to more rolling oil being introduced into the roll gap, further improving lubrication. Therefore, with a constant raw oil formulation, rolling speed and roll gap flow rate are the main influencing factors on lubrication; that is, higher rolling speed or a larger roll gap flow rate results in better lubrication. Thus, by limiting the lubricating fluid flow rate at the roll gap of the cold rolling mill to its maximum, constructing a speed-rolling force relationship model can more accurately determine the correlation between rolling speed and rolling force in the cold rolling mill.

[0052] The minimum rolling speed that can be automatically controlled by the flow rate and thickness per second can be used as the initial value, and the rolling speed can be gradually increased to obtain the rolling force corresponding to each rolling speed.

[0053] In one embodiment, the speed-rolling force relationship model includes:

[0054] f(v) = k·v + m

[0055] Where f(v) is the first rolling force, k is the speed adaptation parameter, v is the rolling speed, and m is the rolling force corresponding to the set rolling speed.

[0056] In this application, regression analysis can be performed on the multiple rolling speeds and the rolling forces corresponding to each rolling speed to obtain the speed adaptation function of the rolling force and the speed adaptation parameter k, where m is the theoretical rolling force corresponding to the theoretical rolling speed of 0. When the rolling speed is equal to the minimum rolling speed put into automatic control of flow rate and thickness per second, the obtained rolling force is the maximum rolling force when the cold rolling mill is in normal and stable rolling.

[0057] Continue to refer to Figure 1 In step 120, a flow-rolling-force relationship model is constructed based on the roll gap flow rate and the rolling force of the cold rolling mill, wherein the roll gap flow rate is the lubricant flow rate at the roll gap position.

[0058] In this application, during the rolling of strip steel in a cold rolling mill, the roll gap flow rate is the main factor affecting lubricity. Under the condition that the rolling speed of the cold rolling mill is the minimum rolling speed that is automatically controlled by the flow rate and thickness per second, a flow rate and rolling force relationship model can be constructed based on the roll gap flow rate and rolling force of the cold rolling mill.

[0059] The minimum rolling speed set by the automatic flow rate and thickness control is the minimum speed required to ensure the dimensional accuracy of the strip. If the rolling speed is lower than this minimum speed, the dimensional accuracy of the strip may exceed the control range, meaning it cannot be guaranteed that the strip's dimensional accuracy will meet production requirements. In the actual rolling process of a cold rolling mill, if the rolling speed is greater than or equal to the minimum rolling speed set by the automatic flow rate and thickness control, then this minimum rolling speed is the minimum speed required for normal and stable rolling by the cold rolling mill.

[0060] With the crude oil formulation unchanged, rolling speed and roll gap flow rate are the main factors affecting lubricity. That is, the higher the rolling speed or the larger the roll gap flow rate, the better the lubricity. Therefore, under the condition that the rolling speed of the cold rolling mill is the minimum rolling speed put into automatic control of flow rate and thickness per second, a flow rate and rolling force relationship model can be constructed to obtain the correlation between roll gap flow rate and rolling force of the cold rolling mill more accurately.

[0061] The rolling force corresponding to each roll gap flow rate can be obtained by taking the maximum flow rate as the initial value and gradually decreasing the roll gap flow rate.

[0062] In one embodiment, the flow rate and rolling force relationship model includes:

[0063]

[0064] Where f(d) is the second rolling force, n is the rolling force corresponding to the set roll gap flow rate, d is the roll gap flow rate, and p is the roll gap flow rate adaptation parameter.

[0065] In this application, regression analysis can be performed on the multiple roll gap flow rates and the rolling force corresponding to each roll gap flow rate to obtain the flow rate adaptation function of the rolling force, and the roll gap flow rate adaptation parameter p can be obtained, where n is the theoretical rolling force corresponding to the theoretical roll gap flow rate of 0.

[0066] In one embodiment, the method further includes: constructing an initial rolling force model based on the strip reduction of the cold rolling mill and the roll flattening radius of the cold rolling mill.

[0067] In this application, during the strip rolling process of the cold rolling mill, the strip reduction amount and the roll flattening radius of the cold rolling mill are obtained, and an initial rolling force model can be constructed based on the strip reduction amount and the roll flattening radius of the cold rolling mill.

[0068] In one embodiment, the initial rolling force model includes:

[0069] z = z₁ + z₂ + z₃;

[0070]

[0071]

[0072]

[0073]

[0074]

[0075] Δh = Hh;

[0076] Where z is the initial rolling force, z1 is the rolling force in the plastic deformation zone, z2 is the rolling force in the elastic compression zone, z3 is the rolling force in the elastic recovery zone, and k fm R' is the average deformation resistance, Δh is the roll flattening radius, and Q is the strip reduction. p n is the external friction influence coefficient. t t is the tension influence coefficient, h is the strip thickness after rolling, and t is the strip thickness after rolling. f ε is the pre-tension stress, v is the Poisson's ratio of the rolled piece, E is the Young's modulus of the rolled piece, ε is the reduction rate, f is the coefficient of friction, H is the thickness of the strip before rolling, and μ is the tensile stress. t t are the weighting coefficients. b This refers to the post-tension stress.

[0077] In this application, the initial rolling force is related to parameters such as average deformation resistance, roll flattening radius, strip reduction, external friction influence coefficient, tension influence coefficient, pre-tension stress, Poisson's ratio of the rolled piece, Young's modulus of the rolled piece, reduction rate, friction coefficient, and post-tension stress.

[0078] In one embodiment, the method further includes: obtaining the actual pre-rolling strip thickness and the actual post-rolling strip thickness of the cold rolling mill; and determining the actual strip reduction of the cold rolling mill based on the actual pre-rolling strip thickness and the actual post-rolling strip thickness.

[0079] In this application, the actual strip thickness before rolling and the actual strip thickness after rolling of the cold rolling mill can be obtained through the secondary control system of the cold rolling mill, and the difference between the actual strip thickness before rolling and the actual strip thickness after rolling can be calculated as the actual strip reduction of the cold rolling mill.

[0080] The reduction rate of a cold rolling mill can also be calculated as the ratio of the actual strip reduction to the actual strip thickness before rolling.

[0081] In one embodiment, the method further includes: obtaining the actual roll flattening radius of the cold rolling mill; determining the initial rolling force of the cold rolling mill based on the actual strip reduction, the actual roll flattening radius, and the initial rolling force model, wherein the initial rolling force is the rolling force to be corrected for the cold rolling mill.

[0082] In this application, the actual roll flattening radius and other process parameters of the cold rolling mill can be obtained through the secondary control system of the cold rolling mill. The actual strip reduction and the actual roll flattening radius are then input into the initial rolling force model to obtain the initial rolling force of the cold rolling mill. The initial rolling force is the calculated rolling force to be corrected for the cold rolling mill, which can roughly reflect the actual rolling force of the cold rolling mill. However, the rolling force to be corrected and the actual rolling force may differ significantly. That is, the initial rolling force cannot accurately reflect the actual rolling force of the cold rolling mill. It is necessary to perform a secondary correction on the initial rolling force and use the corrected rolling force as the actual rolling force.

[0083] Continue to refer to Figure 1 In step 130, a rolling force prediction model is constructed based on the speed rolling force relationship model and the flow rolling force relationship model.

[0084] In this application, the speed adaptation parameter k can be obtained based on the speed-rolling force relationship model, and the roll gap flow adaptation parameter p can be obtained based on the flow-rolling force relationship model. Based on the speed adaptation parameter k and the roll gap flow adaptation parameter p, a rolling force prediction model is constructed.

[0085] In one embodiment, the rolling force prediction model includes:

[0086]

[0087] Where f(z) is the actual rolling force, z is the initial rolling force, k is the speed adaptation parameter, v is the actual rolling speed, and d is the actual roll gap flow rate. max denoted as the maximum roll gap flow rate of the cold rolling mill, and p is the roll gap flow rate adaptation parameter.

[0088] In this application, the actual predicted rolling force is the actual rolling force of the cold rolling mill. The actual rolling force is related to parameters such as the initial rolling force, speed adaptation parameters, actual rolling speed, actual roll gap flow, maximum roll gap flow of the cold rolling mill, and roll gap flow adaptation parameters.

[0089] The rolling force prediction model can be used to correct the initial rolling force twice to obtain the accurate actual rolling force. The rolling force prediction model takes into account the influence of the speed adaptation parameters and roll gap flow adaptation parameters of the cold rolling mill on the actual rolling force of the cold rolling mill. The rolling force prediction model can more accurately reflect the actual rolling force of the cold rolling mill.

[0090] Continue to refer to Figure 1 In step 140, the actual rolling speed of the cold rolling mill and the actual roll gap flow of the cold rolling mill are obtained.

[0091] In this application, the actual rolling speed and actual roll gap flow of the cold rolling mill can be obtained through the secondary control system of the cold rolling mill.

[0092] Continue to refer to Figure 1 In step 150, the actual rolling force of the cold rolling mill is determined based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model.

[0093] In this application, the actual rolling force of the cold rolling mill can be obtained by substituting the actual rolling speed, actual roll gap flow rate, initial rolling force, speed adaptation parameters, maximum roll gap flow rate of the cold rolling mill, and roll gap flow rate adaptation parameters into the rolling force prediction model.

[0094] To enable those skilled in the art to more easily understand this application, a specific embodiment will be used to illustrate this application below.

[0095] Figure 2 A schematic diagram showing the relationship between rolling speed and rolling force in a specific embodiment of this application is shown.

[0096] Figure 3 A schematic diagram showing the relationship between roll gap flow and rolling force in a specific embodiment of this application is illustrated.

[0097] The specific steps are as follows:

[0098] Step 1: Design a test to test the relationship between rolling speed and rolling force under the condition that the maximum flow rate is 1000 liters per minute at the roll gap position allowed by the equipment;

[0099] Step 2: The minimum speed of 181 meters per minute, which is the automatic control of cold rolling flow rate and thickness, is used as the initial value for the test. The speed is gradually increased, and the rolling force at each rolling speed is continuously stored.

[0100] Step 3: Perform regression analysis on rolling speed and rolling force. A schematic diagram illustrating the relationship between rolling speed and rolling force is shown below. Figure 2 As shown, the speed adaptation function of the rolling force f(v) = 10067 - 2.3851 * v can be obtained, and the speed adaptation parameter k = -2.3851 can be obtained.

[0101] Step 4: Under the condition of a minimum speed of 181 meters per minute for automatic control of cold rolling flow rate and thickness, design an experiment to test the relationship between emulsion roll gap flow rate and rolling force.

[0102] Step 5: Using the maximum flow rate of 1000 liters per minute at the roll gap position allowed by the equipment as the initial test value, the flow rate is gradually reduced, and the rolling force of each flow rate is continuously stored.

[0103] Step 6: Perform regression analysis on the roll gap flow rate and rolling force to obtain the roll gap flow rate adaptation function f(d) = 11283*d. (-0.117) d is the roll gap flow rate in liters per minute, and the roll gap flow rate adaptation parameter is p = -0.117.

[0104] Step 7: Based on the initial rolling force model, obtain the initial rolling force of the cold rolling mill as 7500KN;

[0105] Step 8: Based on the speed adaptation parameters and the roll gap flow adaptation parameters, construct a rolling force prediction model to obtain the actual rolling force = 7500 + (-2.3851*v) + 7500*((d / maximum roll gap flow)). (-0.117) -1);

[0106] Step 9: Obtain the actual rolling speed and actual roll gap flow of the cold rolling mill.

[0107] Step 10: Based on the actual rolling speed, the actual roll gap flow rate, and the initial rolling force model, the actual rolling force of the cold rolling mill can be obtained.

[0108] The one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0109] The technical solution proposed in this application can solve the problem of the inability to predict the rolling force of cold rolling mills in real time, and can achieve the goal of improving the accuracy of rolling force prediction for cold rolling mills. It can also improve the production stability and manufacturing capability of cold rolling mills to a certain extent.

[0110] The following describes an embodiment of the apparatus described in this application, which can be used to execute the method for predicting the rolling force of a cold rolling mill in the above embodiments of this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method for predicting the rolling force of a cold rolling mill described above in this application.

[0111] Figure 4 A block diagram of the rolling force prediction device for a cold rolling mill in an embodiment of this application is shown.

[0112] like Figure 4 As shown in the embodiment of this application, the cold rolling mill rolling force prediction device includes: a first construction unit 401, a second construction unit 402, a third construction unit 403, an acquisition unit 404, and a determination unit 405. The first construction unit 401 is used to construct a speed-rolling force relationship model based on the rolling speed and rolling force of the cold rolling mill; the second construction unit 402 is used to construct a flow-rolling force relationship model based on the roll gap flow rate and rolling force of the cold rolling mill; the third construction unit 403 is used to construct a rolling force prediction model based on the speed-rolling force relationship model and the flow-rolling force relationship model; the acquisition unit 404 is used to acquire the actual rolling speed and the actual roll gap flow rate of the cold rolling mill; and the determination unit 405 is used to determine the actual rolling force of the cold rolling mill based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model.

[0113] In some embodiments of this application, based on the foregoing scheme, the first construction unit 401 is configured as follows:

[0114] f(v) = k·v + m

[0115] Where f(v) is the first rolling force, k is the speed adaptation parameter, v is the rolling speed, and m is the rolling force corresponding to the set rolling speed.

[0116] In some embodiments of this application, based on the foregoing scheme, the second construction unit 402 is configured as follows:

[0117] f(d) = n·d p

[0118] Where f(d) is the second rolling force, n is the rolling force corresponding to the set roll gap flow rate, d is the roll gap flow rate, and p is the roll gap flow rate adaptation parameter.

[0119] In some embodiments of this application, based on the foregoing scheme, the device further includes a fourth building unit, which is used to build an initial rolling force model based on the strip reduction of the cold rolling mill and the roll flattening radius of the cold rolling mill.

[0120] In some embodiments of this application, based on the foregoing scheme, the fourth building unit is configured as follows:

[0121] z = z₁ + z₂ + z₃;

[0122]

[0123]

[0124]

[0125]

[0126]

[0127] Δh = Hh;

[0128] Where z is the initial rolling force, z1 is the rolling force in the plastic deformation zone, z2 is the rolling force in the elastic compression zone, z3 is the rolling force in the elastic recovery zone, and k fm R' is the average deformation resistance, Δh is the roll flattening radius, and Q is the strip reduction. p n is the external friction influence coefficient. t t is the tension influence coefficient, h is the strip thickness after rolling, and t is the strip thickness after rolling. f ε is the pre-tension stress, v is the Poisson's ratio of the rolled piece, E is the Young's modulus of the rolled piece, ε is the reduction rate, f is the coefficient of friction, H is the thickness of the strip before rolling, and μ is the tensile stress. t t are the weighting coefficients. b This refers to the post-tension stress.

[0129] In some embodiments of this application, based on the foregoing scheme, the device further includes a first calculation unit, which is used to obtain the actual pre-rolling strip thickness and the actual post-rolling strip thickness of the cold rolling mill; and to determine the actual strip reduction of the cold rolling mill based on the actual pre-rolling strip thickness and the actual post-rolling strip thickness.

[0130] In some embodiments of this application, based on the foregoing scheme, the device further includes a second calculation unit, which is used to obtain the actual roll flattening radius of the cold rolling mill; and to determine the initial rolling force of the cold rolling mill based on the actual strip reduction, the actual roll flattening radius, and the initial rolling force model, wherein the initial rolling force is the rolling force to be corrected for the cold rolling mill.

[0131] In some embodiments of this application, based on the foregoing scheme, the third building unit 403 is configured as follows:

[0132]

[0133] Where f(z) is the real-time predicted rolling force, z is the initial rolling force, k is the speed adaptation parameter, v is the actual rolling speed, d is the actual roll gap flow rate, and d max denoted as the maximum roll gap flow rate of the cold rolling mill, and p is the roll gap flow rate adaptation parameter.

[0134] This application also provides a computer program product comprising computer instructions stored in a computer-readable storage medium and adapted to be read and executed by a processor to cause a computer device having the processor to perform the cold rolling mill rolling force prediction method as described in any of the above embodiments.

[0135] This application also provides a computer-readable medium, which may be included in an electronic device or exist independently without being assembled into an electronic device. The computer-readable storage medium stores at least one piece of program code, which is loaded and executed by a processor to implement the method for predicting the rolling force of a cold rolling mill as described in any of the above embodiments.

[0136] This application also provides an electronic device, which includes one or more processors and one or more memories, wherein at least one piece of program code is stored in the one or more memories, and the at least one piece of program code is loaded and executed by the one or more processors to implement the method for predicting the rolling force of a cold rolling mill as described in any of the above embodiments.

[0137] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown.

[0138] It should be noted that, Figure 5 The computer system 500 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0139] like Figure 5As shown, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 502 or programs loaded from storage portion 508 into Random Access Memory (RAM) 503, such as performing the methods described in the above embodiments. The RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0140] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. Removable media 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 510 as needed so that computer programs read from them can be installed into storage section 508 as needed.

[0141] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit (CPU) 501, it performs various functions defined in the system of this application.

[0142] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0143] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0144] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0145] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0146] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the method according to the embodiments of this application.

[0147] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein.

[0148] Furthermore, the above figures are merely illustrative of the processes included in the method according to exemplary embodiments of this application, and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal order of these processes. Additionally, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0149] It should be understood that this application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for predicting the rolling force of a cold rolling mill, characterized in that, The method includes: A speed-rolling-force relationship model is constructed based on the rolling speed and rolling force of the cold rolling mill. Based on the roll gap flow rate and the rolling force of the cold rolling mill, a flow rate-rolling force relationship model is constructed, wherein the roll gap flow rate is the lubricant flow rate at the roll gap position; Based on the speed-rolling-force relationship model and the flow-rate-rolling-force relationship model, a rolling force prediction model is constructed; Obtain the actual rolling speed and the actual roll gap flow rate of the cold rolling mill; The actual rolling force of the cold rolling mill is determined based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model. The speed-rolling force relationship model includes: in, f ( v () is the first rolling force ，k For speed adaptation parameters ，v For rolling speed ，m The rolling speed is the rolling force corresponding to the set rolling speed; The flow rate and rolling force relationship model includes: in, f ( d () is the second rolling force ，n The roll gap flow rate is the rolling force corresponding to the set roll gap flow rate. ，d Roll gap flow rate ，p Parameters for adapting the roll gap flow rate; The rolling force prediction model includes: in, f ( z ( ) represents the actual rolling force ，z Initial rolling force ， k is the speed adaptation parameter, obtained from the speed-rolling force relationship model, and v is the actual rolling speed. d Actual roll gap flow rate ，d max Maximum roll gap flow rate of the cold rolling mill ，p The roll gap flow rate adaptation parameter is obtained based on the flow rate and rolling force relationship model.

2. The method according to claim 1, characterized in that, The method further includes: An initial rolling force model is constructed based on the strip reduction of the cold rolling mill and the roll flattening radius of the cold rolling mill.

3. The method according to claim 2, characterized in that, The initial rolling force model includes: ； ； ； ； ； ； in, z The initial rolling force, z 1 represents the rolling force in the plastic deformation zone. z 2 represents the rolling force in the elastic compression zone. z 3 represents the rolling force in the elastic recovery zone. k fm For average deformation resistance, R’ Δ is the flattening radius of the roll. h This refers to the amount of strip reduction. Q p The external friction influence coefficient, n t The tension influence coefficient is... h This refers to the thickness of the strip after rolling. t f For pretension stress, v For the Poisson's ratio of the rolled piece, E For the Young's modulus of the rolled part, ε For reduction rate, f The coefficient of friction, H The thickness of the strip before rolling. μ t These are weighting coefficients. t b This refers to the post-tension stress.

4. The method according to claim 3, characterized in that, The method further includes: Obtain the actual pre-rolling strip thickness and the actual post-rolling strip thickness of the cold rolling mill. The actual strip reduction of the cold rolling mill is determined based on the actual strip thickness before rolling and the actual strip thickness after rolling.

5. The method according to claim 4, characterized in that, The method further includes: Obtain the actual roll flattening radius of the cold rolling mill; Based on the actual strip reduction, the actual roll flattening radius, and the initial rolling force model, the initial rolling force of the cold rolling mill is determined, and the initial rolling force is the rolling force to be corrected for the cold rolling mill.

6. A device for predicting the rolling force of a cold rolling mill, characterized in that, The device includes: The first building unit is used to build a speed-rolling force relationship model based on the rolling speed and rolling force of the cold rolling mill. The first building unit is configured as follows: in, f ( v () is the first rolling force ，k For speed adaptation parameters ，v For rolling speed ，m The rolling speed is the rolling force corresponding to the set rolling speed; The second building unit is used to build a flow-rolling-force relationship model based on the roll gap flow rate and the rolling force of the cold rolling mill, wherein the roll gap flow rate is the lubricant flow rate at the roll gap position; The second building unit is configured as follows: in, f ( d () is the second rolling force ，n The roll gap flow rate is the rolling force corresponding to the set roll gap flow rate. ，d Roll gap flow rate ，p Parameters for adapting the roll gap flow rate; The third building unit is used to build a rolling force prediction model based on the speed rolling force relationship model and the flow rolling force relationship model; The third building unit is configured as follows: in, f ( z For real-time forecasting of rolling force ，z Initial rolling force ， k is the speed adaptation parameter, and v is the actual rolling speed. d Actual roll gap flow rate ，d max Maximum roll gap flow rate of the cold rolling mill ，p Parameters for adapting the roll gap flow rate; The acquisition unit is used to acquire the actual rolling speed and the actual roll gap flow of the cold rolling mill. The determining unit is used to determine the actual rolling force of the cold rolling mill based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model.

7. An electronic device, characterized in that, The electronic device includes one or more processors and one or more memories, wherein at least one piece of program code is stored in the one or more memories, and the at least one piece of program code is loaded and executed by the one or more processors to implement the method for predicting the rolling force of a cold rolling mill as described in any one of claims 1 to 5.

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