Method and system for optimizing elastic deformation parameters of roll system of plate and strip rolling mill

Abstract

The invention discloses a method and a system for optimizing elastic deformation parameters of a plate and strip rolling mill roll system. In the method, operation parameters of the plate and strip rolling mill are adjusted step by step, actual roll system deformation data corresponding to the operation parameters detected by a position sensor after the operation parameters are adjusted and changed are obtained, and the operation parameters comprise working roll bending force, middle roll bending force and middle roll stringing amount; according to the adjusted operation parameters, roll system deformation data are obtained and calculated through a roll system elastic deformation calculation model; and according to the actual roll system deformation data and the calculated roll system deformation data, performing reverse optimization on a plurality of roll elasticity modulus parameters used in the roll system elastic deformation calculation model by adopting a least square method. According to the method, on-site indirect testing and model calculation are combined, precise optimization of the elastic modulus of the core and the surface of the roller is achieved, the precision of theoretical calculation of elastic deformation of a roller system is effectively improved, and a solid foundation is laid for precise control of the plate shape.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of plate strip rolling technology, and in particular to a plate strip rolling mill roll system elastic deformation parameter optimization method and system. BACKGROUND

[0002] In the field of plate strip rolling, especially in the four-high, six-high or eighteen-high rolling mill with vertical roll system, the elastic deformation calculation of the roll system is the core theoretical basis for the plate shape setting control and the optimization design of the rolling mill. The accurate roll system deformation model is crucial for ensuring the plate shape quality of the strip steel.

[0003] Currently, there is a technical difficulty in the theoretical calculation of the elastic deformation of the roll system: the value of the elastic modulus parameter of the roll material involved in the calculation is too simplified. In actual production, the surfaces of each roll (including the work roll, the intermediate roll and the backup roll) are hardened through heat treatment, resulting in a difference between the surface hardness and the core hardness, and the surface hardness of different rolls is also not the same. However, in the calculation of the existing theoretical model, the core and the surface of each roll are usually regarded as having the same elastic modulus empirical value. This simplified processing method inevitably introduces calculation deviation, affecting the accuracy of the model prediction.

[0004] In addition, when the rolling mill operates under complex field conditions, the roll system deformation is the superposition and coordination result of multiple deformations such as roll flattening and roll deflection. Due to the limitation of measurement means, it is very difficult to directly and accurately measure the roll system deformation. This technical bottleneck leads to the difficulty in in-depth research on the optimization of the roll system deformation parameters, and the effective closed loop of "theoretical calculation-field verification-parameter correction-model application" cannot be formed, thereby restricting the further improvement of the plate shape control accuracy.

[0005] Therefore, how to realize the accurate optimization of the elastic modulus of the roll core and surface and effectively improve the accuracy of the theoretical calculation of the roll system elastic deformation is a problem to be solved by those skilled in the art. SUMMARY

[0006] The embodiments of the present application provide a plate strip rolling mill roll system elastic deformation parameter optimization method and system, which can realize the accurate optimization of the elastic modulus of the roll core and surface and effectively improve the accuracy of the theoretical calculation of the roll system elastic deformation.

[0007] The first aspect of the present application provides a plate strip rolling mill roll system elastic deformation parameter optimization method, comprising: adjusting the operation parameters of the plate strip rolling mill step by step, and obtaining the actual roll system deformation data corresponding to the adjusted changes of the operation parameters detected by the position sensor, wherein the operation parameters include the work roll bending force, the intermediate roll bending force and the intermediate roll string roll amount; obtaining the calculated roll system deformation data through the roll system elastic deformation calculation model according to the adjusted operation parameters; Based on the actual roll deformation data and the calculated roll deformation data, the least squares method is used to perform reverse optimization on multiple roll elastic modulus parameters used in the roll elastic deformation calculation model; the multiple roll elastic modulus parameters include the elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface.

[0008] Optionally, before the step-by-step adjustment of the operating parameters of the strip mill, the method further includes: Set the strip mill to a constant preset rolling force, and adjust the work roll bending force, the intermediate roll bending force, and the intermediate roll crossover amount to the initial zero position; Maintain the state of the strip mill and record the initial position value of the position sensor after a preset time.

[0009] Optionally, the elastic modulus of the roll core used in the calculation model of the elastic deformation of the roll system is optimized in reverse using the least squares method, including: While keeping the rolling force, work roll bending force and intermediate roll bending force constant, the intermediate roll crossover amount is adjusted step by step to obtain the corresponding first actual deformation data. Call the elastic deformation calculation model of the roller system to calculate the first calculated deformation data under the corresponding number of rollers and its first influence coefficient on the elastic modulus of the roll core; Based on the first actual deformation data and the first calculated deformation data, the first correction amount of the elastic modulus of the roll core is calculated using the least squares method, and the elastic modulus of the roll core is iteratively updated until the first correction amount meets the convergence condition.

[0010] Optionally, the surface elastic modulus of the work roll used in the calculation model of the elastic deformation of the roll system is optimized in reverse using the least squares method, including: While keeping the rolling force, intermediate roll bending force, and intermediate roll crossover amount constant, the work roll bending force is adjusted step by step to obtain the corresponding second actual deformation data. The elastic deformation calculation model of the roller system is invoked, and the optimized elastic modulus of the roll core is used to calculate the second calculated deformation data under the corresponding bending force and its second influence coefficient on the elastic modulus of the work roll surface. Based on the second actual deformation data and the second calculated deformation data, the second correction amount of the elastic modulus of the work roll surface is calculated using the least squares method, and the elastic modulus of the work roll surface is iteratively updated until the second correction amount meets the convergence condition.

[0011] Optionally, the surface elastic modulus of the intermediate roll and the surface elastic modulus of the support roll used in the calculation model of the elastic deformation of the roll system are jointly optimized using the least squares method, including: While keeping the rolling force, the bending force of the work roll and the amount of intermediate roll overlap constant, the bending force of the intermediate roll is adjusted step by step to obtain the corresponding third actual deformation data. The elastic deformation calculation model of the roller system is invoked, and the optimized elastic modulus of the core of the roll and the elastic modulus of the surface of the work roll are used to calculate the third calculated deformation data under the corresponding bending force and its third influence coefficient on the elastic modulus of the surface of the intermediate roll and its fourth influence coefficient on the elastic modulus of the surface of the support roll. Based on the deviation between the third actual deformation data and the third calculated deformation data, the third correction amount of the surface elastic modulus of the intermediate roll and the fourth correction amount of the surface elastic modulus of the support roll are jointly calculated using the least squares method, and the surface elastic modulus of the intermediate roll and the support roll are iteratively updated until both the third correction amount and the fourth correction amount satisfy the convergence condition.

[0012] Optionally, after optimizing all the elastic modulus parameters of the rolls, the optimized elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface are output for subsequent shape setting control or mill design calculations.

[0013] The second aspect of this application provides a system for optimizing the elastic deformation parameters of the roll system in a strip mill, comprising: The adjustment unit is used to adjust the operating parameters of the strip mill in steps and acquire the actual roll deformation data corresponding to the changes in the operating parameters detected by the position sensor after adjustment. The operating parameters include the bending force of the work roll, the bending force of the intermediate roll, and the amount of intermediate roll overlap. The calculation unit is used to obtain the calculated roll system deformation data based on the adjusted operating parameters and the roll system elastic deformation calculation model. The optimization unit is used to perform reverse optimization of multiple roll elastic modulus parameters used in the roll elastic deformation calculation model based on the actual roll deformation data and the calculated roll deformation data, using the least squares method; the multiple roll elastic modulus parameters include the elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface.

[0014] A third aspect of this application provides a device for optimizing the elastic deformation parameters of the roll system in a strip mill, comprising: One or more processors; A memory on which one or more programs are stored; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for optimizing the elastic deformation parameters of the strip mill roll system as described in any of the preceding claims.

[0015] The fourth aspect of this application provides a computer storage medium for storing a program, which, when executed, is used to implement the method for optimizing the elastic deformation parameters of the strip mill roll system as described in any of the preceding claims.

[0016] This invention discloses a method and system for optimizing the elastic deformation parameters of the roll system in a strip mill. The method involves adjusting the operating parameters of the strip mill step by step and acquiring the actual roll system deformation data corresponding to the adjusted operating parameters detected by position sensors. The operating parameters include the bending force of the work roll, the bending force of the intermediate roll, and the amount of intermediate roll overlap. Based on the adjusted operating parameters, the calculated roll system deformation data is obtained through a roll system elastic deformation calculation model. Using the actual and calculated roll system deformation data, the least squares method is employed to perform reverse optimization on multiple roll elastic modulus parameters used in the roll system elastic deformation calculation model. This invention, through a combination of indirect on-site testing and model calculation, achieves precise optimization of the elastic modulus of the roll core and surface, effectively improving the accuracy of the theoretical calculation of roll system elastic deformation and laying a solid foundation for precise strip shape control. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a method for optimizing the elastic deformation parameters of a strip mill roll system, provided in an embodiment of this application; Figure 2 A schematic diagram of the forces acting on the upper part of a six-roll mill, provided as an embodiment of this application; Figure 3 A schematic diagram of a system for optimizing the elastic deformation parameters of a strip mill roll system is provided in this application embodiment; Figure 4 This is a schematic diagram of a device for optimizing the elastic deformation parameters of a strip mill roll system, provided in an embodiment of this application. Detailed Implementation

[0019] This application provides a method and system for optimizing the elastic deformation parameters of the roll system in a strip mill. This method can accurately optimize the elastic modulus of the roll core and surface, effectively improving the accuracy of the theoretical calculation of the elastic deformation of the roll system.

[0020] See Figure 1 This figure is a flowchart illustrating a method for optimizing the elastic deformation parameters of a strip mill roll system according to an embodiment of this application. The method for optimizing the elastic deformation parameters of a strip mill roll system provided in this embodiment can be implemented, for example, through the following steps S101-103.

[0021] See Figure 2 , Figure 2 This is a schematic diagram of the force distribution on the upper part of a six-roll mill, provided as an embodiment of this application. Taking a six-roll mill as an example, its main body includes a work roll WR, an intermediate roll IR, and a support roll BR, a pressing cylinder that provides rolling force, a position sensor installed in its cylinder rod, as well as a frame, bending roll blocks, and a rolling line adjustment system. This position sensor can detect the vertical deformation S of the mill, which mainly includes the frame deformation and the roll system deformation RS. Under certain equipment conditions, the frame deformation is only affected by the rolling force P provided by the pressing cylinder, while the roll system deformation is mainly affected by the bending force Fbw of the work roll, the bending force Fbi of the intermediate roll, the intermediate roll cross-roll Sr, and the rolling force P. It can be considered that when the rolling force P is constant, the change in position sensor value dS is equal to the change in roll system deformation dRS. The testing method involves keeping the rolling force P constant, adjusting the bending force of the work roll, the bending force of the intermediate roll, and the intermediate roll cross-roll in stages, recording the position change dS of the position sensor, and then calculating the change in roll system deformation dRS using the roll system deformation model (see patent "A Calculation Method for Elastic Deformation of Roll System in Strip Mill (CN111310099B)"). By comparing these two changes, the elastic modulus of the roll material in the roll system deformation model is optimized in reverse. The core elastic modulus of the rolls (including the work roll, intermediate roll, and support roll), the surface elastic modulus Ebw of the work roll, the surface elastic modulus EbI of the intermediate roll, and the surface elastic modulus Ebb of the support roll are introduced for parameter optimization.

[0022] S101: Adjust the operating parameters of the strip mill in stages and obtain the actual roll deformation data corresponding to the changes in the operating parameters detected by the position sensor.

[0023] In this embodiment of the application, the operating parameters include the bending force of the work roll, the bending force of the intermediate roll, and the amount of intermediate roll overlap.

[0024] Specifically, only the roll overlap Sr of the intermediate rolls is changed, such as setting it to 0mm, 50mm, 100mm, 150mm, and 200mm respectively, while keeping other operating parameters unchanged. Multiple equally spaced intermediate roll overlap Sr can be set as needed. iAfter a preset time (e.g., 30 seconds for each test step), the position S of the position sensor corresponding to the amount of roll overlap of different intermediate rollers is recorded. i .

[0025] By changing only the bending force of the work rolls, such as setting them to -200KN, -160KN, -120KN, -40KN, and 0 respectively, while keeping other operating parameters unchanged, multiple equally spaced negative work roll bending forces Fbw can be set as needed. i After a preset time (e.g., 30 seconds for each test step), the position Sw of the position sensor corresponding to different bending roller forces is recorded. i .

[0026] By changing only the bending force of the intermediate rolls (e.g., 0KN, 100KN, 200KN, 300KN, 400KN, and 500KN respectively), while keeping other parameters unchanged, multiple intermediate rolls with different bending forces FbI at equal intervals can be set as needed. i After a preset time (e.g., 30 seconds for each test step), the position sensor SbI corresponding to different bending roller forces is recorded. i .

[0027] In one implementation of this application, before adjusting the operating parameters of the strip mill step by step, the strip mill is set to a constant preset rolling force, and the bending force of the work roll, the bending force of the intermediate roll, and the amount of intermediate roll overlap are adjusted to the initial zero position; the state of the strip mill is maintained, and the initial position value of the position sensor is recorded after a preset time.

[0028] Specifically, before adjusting the operating parameters of the strip mill step by step, test preparations are carried out. After the hot rolling is completed, the mill continues to rotate the rolls, and the rolling force P of the pressing cylinder is adjusted to 10000KN. A constant rolling force mode is adopted, and at the same time, the bending force Fbw of the work roll, the bending force Fbi of the intermediate roll, and the intermediate roll cross-roll Sr are all set to 0. This is maintained for a preset time (e.g., 30s), and the position S0 and the roll diameter are recorded at this time through PDA data.

[0029] S102: Based on the adjusted operating parameters, the deformation data of the roller system is calculated using the roller system elastic deformation calculation model.

[0030] In this embodiment of the application, the elastic deformation calculation model of the roller system is invoked, and calculations are performed based on the adjusted operating parameters. Specifically, the following steps are included: Step 21: Call the roller system elastic deformation calculation model, and calculate the total deformation of the roller system corresponding to the different intermediate roller crossover amounts Sr (equivalent to the position change at the action point of the pressing cylinder and the support roller bearing seat) Sc iSimultaneously, the influence coefficient of the elastic modulus Erc of the roll core on the total deformation of the roll system when calculating the amount of roll overlap for different intermediate rolls is effSr. i =dSc i / dErc.

[0031] Step 22: Call the roll system elastic deformation calculation model, and use the new roll core elastic modulus newErc obtained in Step 31. Calculate the total roll system deformation Swc corresponding to different work roll bending forces based on the adjusted work roll bending forces. i Simultaneously, the influence coefficient effEbw of the elastic modulus of the work roll surface on the total deformation of the roll system under different work roll bending forces was calculated. i =dSwc i / dEbw.

[0032] Step 23: Call the roll system elastic deformation calculation model, using the new core elastic modulus newErc obtained in Step 31 and the new surface elastic modulus newEbw obtained in Step 32, and calculate the total roll system deformation SbIc corresponding to different intermediate roll bending forces based on the adjusted intermediate roll bending force. i Simultaneously, the influence coefficient eff1 of the surface elastic modulus of the intermediate rolls on the total deformation of the roll system under different intermediate roll bending forces was calculated. i =dSIc i / dEbI, the influence coefficient eff2 of the surface elastic modulus of the support roller on the total deformation of the roller system. i =dSIc i / dEbb.

[0033] S103: Based on the actual roll deformation data and the calculated roll deformation data, the least squares method is used to perform reverse optimization on multiple roll elastic modulus parameters used in the roll elastic deformation calculation model.

[0034] In the embodiments of this application, the elastic modulus parameters of multiple rolls include the elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface.

[0035] The elastic modulus of the roll core used in the calculation model of the elastic deformation of the roll system is optimized in reverse using the least squares method. While keeping the rolling force, work roll bending force, and intermediate roll bending force constant, the intermediate roll crossover amount is adjusted step by step to obtain the corresponding first actual deformation data. The elastic deformation calculation model of the roll system is then called to calculate the first calculated deformation data under the corresponding crossover amount and its first influence coefficient on the elastic modulus of the roll core. Based on the first actual deformation data and the first calculated deformation data, the first correction amount of the elastic modulus of the roll core is calculated using the least squares method, and the elastic modulus of the roll core is iteratively updated until the first correction amount meets the convergence condition.

[0036] The elastic modulus of the work roll surface used in the calculation model of elastic deformation of the roll system is optimized in reverse using the least squares method. While keeping the rolling force, intermediate roll bending force, and intermediate roll cross-rotation constant, the bending force of the work roll is adjusted step-by-step to obtain the corresponding second actual deformation data. The elastic deformation calculation model of the roll system is then invoked, and the optimized elastic modulus of the roll core is used to calculate the second calculated deformation data under the corresponding bending force and its second influence coefficient on the elastic modulus of the work roll surface. Based on the second actual deformation data and the second calculated deformation data, the second correction amount of the elastic modulus of the work roll surface is calculated using the least squares method, and the elastic modulus of the work roll surface is iteratively updated until the second correction amount meets the convergence condition.

[0037] The least squares method was used to jointly optimize the surface elastic modulus of the intermediate roll and the support roll used in the calculation model of elastic deformation of the roll system. While keeping the rolling force, work roll bending force, and intermediate roll cross-conduction constant, the intermediate roll bending force was adjusted step-by-step to obtain the corresponding third actual deformation data. The roll system elastic deformation calculation model was then invoked, using the optimized core elastic modulus of the roll and the surface elastic modulus of the work roll to calculate the third calculated deformation data under the corresponding bending force, along with its third influence coefficient on the surface elastic modulus of the intermediate roll and its fourth influence coefficient on the surface elastic modulus of the support roll. Based on the deviation between the third actual deformation data and the third calculated deformation data, the least squares method was used to jointly calculate the third correction amount for the surface elastic modulus of the intermediate roll and the fourth correction amount for the surface elastic modulus of the support roll, and the surface elastic modulus of the intermediate roll and the support roll were iteratively updated until both the third and fourth correction amounts met the convergence conditions.

[0038] Specifically, the inverse optimization of multiple roll elastic modulus parameters used in the roll system elastic deformation calculation model using the least squares method includes the following steps: Step 31: Based on the measured S i The least squares method is used to optimize the parameters of the core elastic modulus Erc of the roll, and the formula is as follows: ; ; ; ; The new core elastic modulus of the roll is newErc = oldErc + .

[0039] Repeat step 31 using the new core elastic modulus newErc until the calculated correction amount is obtained. The iteration ends when the value is less than the preset threshold.

[0040] Step 32: Based on the measured Swi The surface elastic modulus Ebw of the work roll is optimized using the least squares method, as shown in the following formula: ; ; ; ; The new work roll surface elastic modulus newEbw = oldEbw + .

[0041] Repeat step 32 using the new work roll surface elastic modulus newEbw until the calculated correction amount is obtained. The iteration ends when the value is less than the preset threshold.

[0042] Step 33: Based on the measured SbI i The joint parameters of the surface elastic modulus Eb of the intermediate roll and the surface elastic modulus Ebb of the support roll are optimized using the least squares method.

[0043] Deviation between measured and calculated values: =- ; ; ; ; The new intermediate roll surface elastic modulus newEbI = oldEbI + The new support roller surface elastic modulus newEbb = oldEbb + .

[0044] Step 33 is repeated using the new intermediate roll surface elastic modulus newEbI and the new support roll surface elastic modulus newEbb until the calculated correction amount is obtained. The iteration ends when the value is less than the preset threshold.

[0045] In one implementation of this application, after optimizing all the elastic modulus parameters of the rolls, the optimized elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface are output for subsequent shape setting control or mill design calculation.

[0046] Beneficial Effects: This invention discloses a method and system for optimizing the elastic deformation parameters of the roll system in a strip mill. In this method, the operating parameters of the strip mill are adjusted step-by-step, and the actual roll system deformation data corresponding to the adjusted operating parameters detected by position sensors are obtained. The operating parameters include the bending force of the work roll, the bending force of the intermediate roll, and the amount of intermediate roll overlap. Based on the adjusted operating parameters, the calculated roll system deformation data is obtained through a roll system elastic deformation calculation model. Based on the actual roll system deformation data and the calculated roll system deformation data, the least squares method is used to perform reverse optimization of multiple roll elastic modulus parameters used in the roll system elastic deformation calculation model. This invention, through a combination of indirect on-site testing and model calculation, achieves precise optimization of the elastic modulus of the roll core and surface, effectively improving the accuracy of the theoretical calculation of roll system elastic deformation and laying a solid foundation for precise control of strip shape.

[0047] To illustrate, let's take a typical six-roll mill as an example. Table 1 shows the unit parameters.

[0048]

[0049] Table 2: Testing and Parameter Optimization Steps

[0050] Based on the methods provided in the above embodiments, this application also provides a strip mill roll system elastic deformation parameter optimization system. The following describes the strip mill roll system elastic deformation parameter optimization system with reference to the accompanying drawings.

[0051] See Figure 3 The figure is a schematic diagram of the structure of an elastic deformation parameter optimization system for a strip mill roll system provided in an embodiment of this application.

[0052] The strip mill roll system elastic deformation parameter optimization system 300 provided in this application embodiment includes: adjustment unit 301, calculation unit 302 and optimization unit 303.

[0053] The adjustment unit 301 is used to adjust the operating parameters of the strip mill in steps and to acquire the actual roll deformation data corresponding to the changes in the operating parameters detected by the position sensor after adjustment. The operating parameters include the bending force of the work roll, the bending force of the intermediate roll, and the amount of intermediate roll roll overlap. The calculation unit 302 is used to obtain the calculated roll system deformation data based on the adjusted operating parameters and the roll system elastic deformation calculation model. The optimization unit 303 is used to perform reverse optimization of multiple roll elastic modulus parameters used in the roll elastic deformation calculation model based on the actual roll deformation data and the calculated roll deformation data, using the least squares method. The multiple roll elastic modulus parameters include the elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface.

[0054] In one possible implementation, the system also includes a preparation unit for: Set the strip mill to a constant preset rolling force, and adjust the work roll bending force, intermediate roll bending force, and intermediate roll crossover amount to the initial zero position; Maintain the state of the strip mill and record the initial position value of the position sensor after a preset time.

[0055] In one possible implementation, the optimization unit 303 is specifically used for: While keeping the rolling force, work roll bending force and intermediate roll bending force constant, the intermediate roll crossover amount is adjusted step by step to obtain the corresponding first actual deformation data. Call the roller system elastic deformation calculation model to calculate the first calculated deformation data under the corresponding number of rollers and its first influence coefficient on the elastic modulus of the roll core; Based on the first actual deformation data and the first calculated deformation data, the first correction amount of the elastic modulus of the roll core is calculated using the least squares method, and the elastic modulus of the roll core is iteratively updated until the first correction amount meets the convergence condition.

[0056] In one possible implementation, the optimization unit 303 is specifically used for: While keeping the rolling force, intermediate roll bending force, and intermediate roll cross-roll amount constant, the work roll bending force is adjusted step by step to obtain the corresponding second actual deformation data. The elastic deformation calculation model of the roll system is called, and the optimized elastic modulus of the roll core is used to calculate the second calculated deformation data under the corresponding bending force and its second influence coefficient on the elastic modulus of the work roll surface. Based on the second actual deformation data and the second calculated deformation data, the second correction amount of the elastic modulus of the work roll surface is calculated using the least squares method, and the elastic modulus of the work roll surface is iteratively updated until the second correction amount meets the convergence condition.

[0057] In one possible implementation, the optimization unit 303 is specifically used for: While keeping the rolling force, work roll bending force and intermediate roll cross-roll amount constant, the intermediate roll bending force is adjusted step by step to obtain the corresponding third actual deformation data. The elastic deformation calculation model of the roll system is called, and the optimized elastic modulus of the roll core and the elastic modulus of the work roll surface are used to calculate the third calculated deformation data under the corresponding bending force and its third influence coefficient on the elastic modulus of the intermediate roll surface and the fourth influence coefficient on the elastic modulus of the support roll surface. Based on the deviation between the third actual deformation data and the third calculated deformation data, the least squares method is used to jointly calculate the third correction amount of the surface elastic modulus of the intermediate roll and the fourth correction amount of the surface elastic modulus of the support roll, and iteratively update the surface elastic modulus of the intermediate roll and the surface elastic modulus of the support roll until both the third correction amount and the fourth correction amount meet the convergence condition.

[0058] In one possible implementation, the system also includes an output unit for: After optimizing all the elastic modulus parameters of the rolls, the optimized elastic modulus of the roll core, the surface elastic modulus of the work roll, the surface elastic modulus of the intermediate roll, and the surface elastic modulus of the support roll are output for subsequent shape setting control or mill design calculations.

[0059] Since the system 300 is a system corresponding to the method for optimizing the elastic deformation parameters of the strip mill roll system provided in the above method embodiments, the specific implementation of each unit of the system 300 is based on the same concept as that in the above method embodiments. Therefore, for the specific implementation of each unit of the system 300, please refer to the description of the method for optimizing the elastic deformation parameters of the strip mill roll system in the above method embodiments, which will not be repeated here.

[0060] This application embodiment also provides a device for optimizing the elastic deformation parameters of the roll system of a strip mill, the device comprising: a processor and a memory; The memory is used to store instructions; The processor is used to execute the instructions in the memory to perform the method for optimizing the elastic deformation parameters of the strip mill roll system mentioned in the above embodiments.

[0061] It should be noted that the hardware structure of the strip mill roll system elastic deformation parameter optimization device provided in this application embodiment can be as follows: Figure 4 The structure shown, Figure 4 This is a schematic diagram of a device for optimizing the elastic deformation parameters of a strip mill roll system, provided in an embodiment of this application.

[0062] Please see Figure 4 As shown, the strip mill roll system elastic deformation parameter optimization device 400 includes: a processor 410, a communication interface 420, and a memory 430. The device 400 can have one or more processors 410. Figure 4Taking a processor as an example. In this embodiment, the processor 410, communication interface 420, and memory 430 can be connected via a bus system or other means, wherein, Figure 4 Taking the connection between China and Israel via the bus system 440 as an example.

[0063] Processor 410 may be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and an NP. Processor 410 may further include hardware chips. These hardware chips may be application-specific integrated circuits (ASICs), programmable logic devices (PLDs), or combinations thereof. The PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), generic array logic (GAL), or any combination thereof.

[0064] The memory 430 may include volatile memory, such as random-access memory (RAM); the memory 430 may also include non-volatile memory, such as flash memory, hard disk drive (HDD) or solid-state drive (SSD); the memory 430 may also include a combination of the above types of memory.

[0065] Optionally, the memory 430 stores an operating system and programs, executable modules, or data structures, or subsets thereof, or extended sets thereof. The programs may include various operation instructions for implementing various operations. The operating system may include various system programs for implementing various basic business processes and handling hardware-based tasks. The processor 410 can read the programs in the memory 430 to implement the method for optimizing the elastic deformation parameters of the strip mill roll system provided in this embodiment.

[0066] The bus system 440 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus system 440 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0067] This application also provides a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the method for optimizing the elastic deformation parameters of the strip mill roll system mentioned in the above embodiments.

[0068] This application also provides a computer program product containing instructions that, when run on a computer, cause the computer to execute the method for optimizing the elastic deformation parameters of the strip mill roll system mentioned in the above embodiments.

[0069] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0070] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0071] Although the invention has been specifically shown and described in conjunction with preferred embodiments, those skilled in the art should understand that various changes in form and detail may be made to the invention without departing from the spirit and scope of the invention as defined in the appended claims, all of which shall be within the scope of protection of the invention.

Claims

1. A method for optimizing the elastic deformation parameters of the roll system in a strip mill, characterized in that, The method includes: The operating parameters of the strip mill are adjusted step by step, and the changes in the operating parameters detected by the position sensor after adjustment are obtained. Corresponding actual roll system deformation data, wherein the operating parameters include the bending force of the work roll, the bending force of the intermediate roll, and the bending force of the intermediate roll. Inter-roller overlap; Based on the adjusted operating parameters, the calculated roll system deformation data is obtained through the roll system elastic deformation calculation model; Based on the actual roll system deformation data and the calculated roll system deformation data, the least squares method is used to assess the elastic deformation of the roll system. The calculation model utilizes multiple roll elastic modulus parameters for inverse optimization; these multiple roll elastic modulus parameters include... The elastic modulus of the core, the surface elastic modulus of the work roll, the surface elastic modulus of the intermediate roll, and the surface elastic modulus of the support roll.

2. The method according to claim 1, characterized in that, Before the step-by-step adjustment of the operating parameters of the strip mill. The method further includes: The strip mill is set to a constant preset rolling force, and the bending force of the work roll, the bending force of the intermediate roll, and... The intermediate roller's roller spacing is adjusted to the initial zero position; Maintain the state of the strip mill and record the initial position value of the position sensor after a preset time.

3. The method according to claim 1, characterized in that, The least squares method was used to calculate the elastic deformation model of the roller system. The elastic modulus of the core of the roll used in the model is optimized in reverse, including: While keeping the rolling force, work roll bending force, and intermediate roll bending force constant, the intermediate roll crossover amount is adjusted step by step. Obtain the corresponding first actual deformation data; The elastic deformation calculation model of the roll system is invoked to calculate the first calculated deformation data under the corresponding number of rolls and its effect on the roll core. The first influence coefficient of the elastic modulus; Based on the first actual deformation data and the first calculated deformation data, the elasticity of the roll core is calculated using the least squares method. The first correction amount of the elastic modulus is determined, and the elastic modulus of the roll core is iteratively updated until the first correction amount satisfies the convergence condition.

4. The method according to claim 3, characterized in that, The least squares method was used to calculate the elastic deformation model of the roller system. The surface elastic modulus of the work roll used in the model is optimized in reverse, including: While keeping the rolling force, intermediate roll bending force, and intermediate roll overload constant, the work roll bending force is adjusted step by step. Obtain the corresponding second actual deformation data; The elastic deformation calculation model of the roll system is invoked, and the optimized elastic modulus of the roll core is used to calculate the corresponding bending force. The second calculated deformation data and its second influence coefficient on the elastic modulus of the work roll surface; Based on the second actual deformation data and the second calculated deformation data, the surface deformation of the work roll is calculated using the least squares method. The second correction value of the elastic modulus is used, and the elastic modulus of the work roll surface is iteratively updated until the second correction value meets the convergence requirement. condition.

5. The method according to claim 4, characterized in that, The least squares method was used to calculate the elastic deformation model of the roller system. The surface elastic modulus of the intermediate roller and the surface elastic modulus of the support roller used in the model are jointly optimized, including: While keeping the rolling force, work roll bending force, and intermediate roll crossover amount constant, the intermediate roll bending force is adjusted step by step. Obtain the corresponding third actual deformation data; The elastic deformation calculation model of the roll system is invoked, and the optimized elastic modulus of the roll core and the elastic modulus of the work roll surface are used. The elastic modulus is used to calculate the third calculated deformation data under the corresponding bending force and its third influence on the elastic modulus of the intermediate roll surface. The coefficient and the fourth influence coefficient on the surface elastic modulus of the support roller; Based on the deviation between the third actual deformation data and the third calculated deformation data, the least squares method is used to jointly calculate the... The third correction amount for the surface elastic modulus of the intermediate roller and the fourth correction amount for the surface elastic modulus of the support roller are used to iteratively update the data. The surface elastic modulus of the intermediate roller and the surface elastic modulus of the support roller are satisfied up to the third and fourth correction values. Convergence conditions.

6. The method according to claim 1, characterized in that, After optimizing all the aforementioned roll elastic modulus parameters, Output the optimized elastic modulus of the roll core, the surface elastic modulus of the work roll, and the surface elastic modulus of the intermediate roll. The elastic modulus of the support roller surface is used for subsequent plate shape setting control or mill design calculations.

7. A system for optimizing the elastic deformation parameters of a strip mill roll system, characterized in that, The system includes: The adjustment unit is used to adjust the operating parameters of the strip mill in steps and to acquire the operating parameters detected by the position sensor. The corresponding actual roll system deformation data after adjustment and change, wherein the operating parameters include the work roll bending force, intermediate... Roller bending force and intermediate roll crossover amount; The calculation unit is used to obtain the calculated roll system deformation data based on the adjusted operating parameters and the roll system elastic deformation calculation model. The optimization unit is used to perform optimization based on the actual roll system deformation data and the calculated roll system deformation data using the least squares method. The elastic modulus parameters of multiple rolls used in the calculation model of elastic deformation of the roll system are back-optimized; the elastic modulus parameters of the multiple rolls are... Modulus parameters include the elastic modulus of the roll core, the elastic modulus of the work roll surface, the elastic modulus of the intermediate roll surface, and the elastic modulus of the support roll surface. Elastic modulus.

8. The system according to claim 7, characterized in that, The system further includes a preparation unit for: The strip mill is set to a constant preset rolling force, and the bending force of the work roll, the bending force of the intermediate roll, and... The intermediate roller's roller spacing is adjusted to the initial zero position; Maintain the state of the strip mill and record the initial position value of the position sensor after a preset time.

9. A device for optimizing the elastic deformation parameters of a strip mill roll system, characterized in that, The device includes: a processor and a memory; The memory is used to store instructions; The processor is configured to execute the instructions in the memory to perform the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, Including instructions that, when run on a computer, enable computation. The machine performs the method described in any one of claims 1-7.

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