A coiling tension optimization method and system for controlling strip steel bulge
By calculating the historical production parameters and maximum coil tension allowable value of strip steel, establishing a critical coil tension model and optimizing coil tension, the problem of raised defects during strip steel coiling is solved, avoiding product degradation, and improving product quality .
Patent Information
- Application Number
- CN202111229508.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-10-21
- Publication Date
- 2024-12-17
- Estimated Expiration
- 2041-10-21
AI Technical Summary
During the strip steel coiling process, local plate-shaped defects caused by factors such as uneven distribution of lateral temperature and pressure, resulting in uplift of the strip steel, which then produces additional wave shapes after uncoiling, resulting in product degradation.
By obtaining the historical production parameters of strips that are prone to bulging defects, calculate their maximum coiling tension allowable value, and establish a critical coiling tension calculation model to optimize the actual coiling tension to avoid bulging defects.
It effectively avoids raised defects during strip coiling, prevents product degradation, and improves the accuracy and consistency of product quality.
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Figure CN113987775B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of metallurgical machinery, and in particular to a coiling tension optimization method and system for controlling strip steel bulge. Background Art
[0002] Industrial users are increasingly demanding on the quality accuracy of cold-rolled strip products, which has promoted the development of high-precision strip rolling technology. The thickness accuracy (longitudinal thickness) and plate shape (including cross-sectional shape and flatness) of the strip are two important indicators for measuring the geometric dimensional accuracy of the strip.
[0003] With the continuous improvement and wide application of hydraulic systems, the control of strip thickness accuracy has reached a fairly high level, but the plate shape problem is still prominent. During the rolling process, due to the influence of factors such as the lateral temperature and uneven distribution of the reduction amount, the strip has uneven thickness distribution and longitudinal extension along the width of the strip, resulting in local plate shape defects such as local high points. The plate shape defect of the local high point will accumulate layer by layer during the strip coiling process, forming a series of bulges on the surface of the strip. These bulges are the strip bulge phenomenon, such as Figure 1 As shown in the figure. The bulge in the strip will cause additional wave shape after uncoiling, such as Figure 2 As shown, the product is degraded. Therefore, in order to avoid product degradation, how to control the coiling process so that the strip does not produce bulges has become an urgent problem to be solved. Summary of the invention
[0004] The embodiment of the present invention solves the technical problem of bulge defects generated in the strip coiling process in the prior art by providing a method for optimizing the coiling tension for controlling strip bulge, and obtains the critical coiling tension for avoiding bulge defects in the subsequent strip coiling process. Then, the actual coiling tension is optimized according to the predicted critical coiling tension, thereby avoiding bulge defects in the subsequent strip coiling process and avoiding product degradation.
[0005] On the one hand, the present invention provides the following technical solution through an embodiment of the present invention:
[0006] A method for optimizing coiling tension for controlling strip steel bulge, comprising:
[0007] Using coiled strip steel to obtain historical production parameters of strip steel that is prone to bulge defects;
[0008] Calculate the maximum allowable coiling tension corresponding to the strip prone to bulge defects according to the historical production parameters, wherein the maximum allowable coiling tension is the maximum allowable coiling tension value that prevents the strip prone to bulge defects from generating bulge defects during the coiling process;
[0009] Establishing a critical coiling tension calculation model in the strip coiling process according to the historical production parameters and the maximum coiling tension allowable value;
[0010] Inputting the current production parameters of the strip to be coiled into the critical coiling tension calculation model to calculate the critical coiling tension corresponding to the strip to be coiled, wherein the critical coiling tension is the maximum coiling tension value allowed so that the strip to be coiled does not produce bulge defects during the coiling process;
[0011] The actual coiling tension of the steel strip to be coiled during the coiling process is optimized according to the critical coiling tension.
[0012] Preferably, calculating the maximum allowable coiling tension corresponding to the strip steel prone to bulge defects according to the historical production parameters includes:
[0013] Obtaining the three-dimensional stress field distribution of the steel strip that is prone to bulge defects;
[0014] The maximum allowable value of the coiling tension is calculated based on the historical production parameters and the three-dimensional stress field distribution.
[0015] Preferably, obtaining the three-dimensional stress field distribution of the strip steel that is prone to bulge defects includes:
[0016] A stress analysis is performed on the steel strip that is prone to bulge defects, and the Airy stress function is introduced and solved based on the plate and shell theory;
[0017] Substituting the historical production parameters into the Airy stress function, the three-dimensional stress field distribution is calculated.
[0018] Preferably, the three-dimensional stress field distribution is
[0019]
[0020] σ x is the axial stress field, σ y is the circumferential stress field, τ xy is the shear stress field, and ф is the additional tensile stress phase of the Airy stress function.
[0021] Preferably, the historical production parameters include the thickness of the strip and the inner diameter of the coil;
[0022] Calculating the maximum allowable value of the coiling tension according to the historical production parameters and the three-dimensional stress field distribution includes:
[0023] Establish a critical winding tension calculation formula based on the thickness, the winding inner diameter and the three-dimensional stress field distribution
[0024]
[0025] Solving the critical winding tension calculation formula to obtain the maximum allowable winding tension value;
[0026] Wherein, D is the bending stiffness of the strip, h is the thickness, w is the deflection function, Ky=1 / r, r is the coiling inner diameter, and E is the elastic modulus of the strip.
[0027] Preferably, the solution of the critical coiling tension calculation formula is based on the Galerkin virtual displacement principle.
[0028] Preferably, a critical coiling tension calculation model in the strip coiling process is established according to the historical production parameters and the maximum allowable coiling tension value, including:
[0029] Fitting the influence of the historical production parameters on the maximum allowable value of the coiling tension;
[0030] The historical production parameters and the maximum allowable value of the coiling tension are parameterized, and a nonlinear regression equation is outputted with the critical coiling tension as a function value and the current production parameters as independent variables.
[0031] On the other hand, the present invention also provides the following technical solutions:
[0032] A coiling tension optimization system for controlling strip steel bulge, comprising:
[0033] A historical production parameter acquisition module, used to obtain historical production parameters of steel strips that are prone to bulge defects using rolled steel strips;
[0034] A maximum coiling tension allowable value calculation module, used to calculate the maximum coiling tension allowable value corresponding to the strip steel prone to bulge defects according to the historical production parameters, the maximum coiling tension allowable value being the maximum coiling tension value allowed so that the strip steel prone to bulge defects does not produce bulge defects during the coiling process;
[0035] A critical coiling tension calculation model building module is used to establish a critical coiling tension calculation model in the strip coiling process according to the historical production parameters and the maximum coiling tension allowable value;
[0036] A critical coiling tension calculation module, used for inputting the current production parameters of the strip to be coiled into the critical coiling tension calculation model, and calculating the critical coiling tension corresponding to the strip to be coiled, wherein the critical coiling tension is the maximum coiling tension value allowed so that the strip to be coiled does not produce a bulge defect during the coiling process;
[0037] The actual coiling tension optimization module is used to optimize the actual coiling tension of the strip to be coiled during the coiling process according to the critical coiling tension.
[0038] On the other hand, the present invention also provides the following technical solutions:
[0039] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned methods for optimizing the coiling tension for controlling the bulge of the strip steel is implemented.
[0040] On the other hand, the present invention also provides the following technical solutions:
[0041] A computer-readable storage medium, which, when executed, implements any of the above-mentioned methods for optimizing coiling tension for controlling strip steel bulge.
[0042] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:
[0043] By analyzing the historical production parameters of strip steel that is prone to bulging defects, the maximum allowable coiling tension values of strip steel of various grades and specifications are obtained, and the historical production parameters and the maximum allowable coiling tension values are used to establish a model for calculating the critical coiling tension of the strip steel to be coiled. This is equivalent to learning and analyzing historical data to obtain a model for predicting future production data. The critical coiling tension that avoids bulging defects in the subsequent strip steel coiling process can be obtained, and then the actual coiling tension is optimized according to the predicted critical coiling tension, which can avoid bulging defects in the subsequent strip steel coiling process and avoid product degradation. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0045] Figure 1 is a schematic diagram of a coiled steel strip of the present invention;
[0046] Figure 2 It is a schematic diagram of the uncoiled steel strip of the present invention;
[0047] Figure 3 It is a flow chart of the method for optimizing the coiling tension for controlling the bulge of the strip steel of the present invention;
[0048] Figure 4 is a flow chart of step S2 of the present invention;
[0049] Figure 5 is the axial stress field distribution diagram of the raised strip steel of the present invention;
[0050] Figure 6 is a circumferential stress field distribution diagram of the raised strip steel of the present invention;
[0051] Figure 7 is a shear stress field distribution diagram of the raised strip steel of the present invention;
[0052] Figure 8 is a flow chart of step S3 of the present invention;
[0053] Fig. 9 The structure block diagram of the coiling tension optimization system for controlling strip steel bulge of the present invention. DETAILED DESCRIPTION
[0054] The embodiment of the present invention solves the technical problem of bulge defects generated during the coiling process of the strip steel in the prior art by providing a coiling tension optimization method and system for controlling the bulge of the strip steel.
[0055] The technical solution of the embodiment of the present invention is to solve the above technical problems, and the overall idea is as follows:
[0056] A method for optimizing coiling tension to control strip bulge, such as Figure 3 As shown, including:
[0057] Step S1, using the coiled strip to obtain historical production parameters of the strip that is prone to bulge defects;
[0058] Step S2, calculating the maximum allowable coiling tension corresponding to the strip prone to bulge defects according to the historical production parameters, the maximum allowable coiling tension is the maximum coiling tension value allowed during the coiling process so that the strip prone to bulge defects does not produce bulge defects;
[0059] Step S3, establishing a critical coiling tension calculation model in the strip coiling process according to historical production parameters and the maximum coiling tension allowable value;
[0060] Step S4, inputting the current production parameters of the strip to be coiled into the critical coiling tension calculation model, calculating the critical coiling tension corresponding to the strip to be coiled, the critical coiling tension being the maximum coiling tension value allowed for the strip to be coiled to not produce bulge defects during the coiling process;
[0061] Step S5, optimizing the actual coiling tension of the strip to be coiled during the coiling process according to the critical coiling tension.
[0062] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0063] First of all, the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0064] In step S1, the coiled steel strip is a steel strip that has completed the coiling process. The coiled steel strip includes steel strips of multiple steel types, and each steel strip includes steel strips of multiple specifications. The production of the coiled steel strip in recent months can be counted, and the steel types and corresponding specifications of the steel strips that are prone to bulge defects can be obtained by training and screening the samples through machine learning. It is easy to think that the coiled steel strip includes both steel strips without bulge defects and steel strips with bulge defects. Among the steel strips with bulge defects, the number of steel strips of some steel types and specifications is small, and the number of steel strips of some steel types and specifications is large. The steel strips without bulge defects and the steel strips with a small number of steel strips with bulge defects are not easy to produce bulge defects, and the steel strips with a large number of steel strips with bulge defects are easy to produce bulge defects. Since the number of steel strips with bulge defects of this type and specifications is small and not representative, this embodiment selects steel strips that are prone to bulge defects as samples, which are representative.
[0065] In step S2, the historical production parameters include the cross-sectional profile information of the strip prone to bulge defects and the process parameters in the previous coiling process. The cross-sectional profile information includes yield strength, strip thickness, strip width and local high point value, which can also be the local wave shape IU value. The process parameters include the inner and outer diameters of the coiler drum, the coiling inner diameter, the original coiling tension and the tension process curve. For a certain steel grade and specification of strip prone to bulge defects, there are a large number of them. The historical production parameters of each strip prone to bulge defects are known, and the historical production parameters of each strip prone to bulge defects may be different. With the change of historical production parameters, the degree of strip bulge also changes. In this way, the maximum allowable value of coiling tension of a certain steel grade strip can be obtained through the trend of the degree of strip bulge with the historical production parameters.
[0066] like Figure 4 As shown, step S2 of this embodiment includes: step S21, obtaining the three-dimensional stress field distribution of the strip that is prone to bulge defects; step S22, calculating the maximum allowable value of the coiling tension based on the historical production parameters and the three-dimensional stress field distribution. Step S21 specifically includes: performing a force analysis on the strip that is prone to bulge defects, introducing and solving the Airy stress function based on the plate and shell theory; substituting the historical production parameters into the Airy stress function to calculate the three-dimensional stress field distribution. Step S22 specifically includes: establishing a critical coiling tension calculation formula based on the thickness of the strip that is prone to bulge defects, the inner diameter of the coiling, and the three-dimensional stress field distribution.
[0067] Solve the critical coiling tension calculation formula to obtain the maximum allowable coiling tension; where D is the bending stiffness of the strip, h is the thickness, w is the deflection function, Ky = 1 / r, r is the coiling inner diameter, and E is the elastic modulus of the strip.
[0068] In this embodiment, in order to obtain the maximum allowable value of coiling tension through historical production parameters, the stress analysis of the strip steel that is prone to bulge defects is first performed, and the basic shell unit is established based on the plate and shell theory to introduce the Airy stress function φ(x,y), and the series form of the Airy stress function φ(x,y) is solved.
[0069]
[0070] The values of a1, a2, and a3 are used to obtain the Airy stress function φ(x, y). Substituting the thickness, width, yield strength, local high point value, inner and outer diameters of the coiler drum, coiling inner diameter, and original coiling tension of the strip that is prone to bulge defects into the Airy stress function φ(x, y), the relationship between the three-dimensional stress field distribution and the Airy stress function φ(x, y) can be obtained by calculation, that is,
[0071]
[0072] Among them, σ x is the axial stress field, σ y is the circumferential stress field, τ xy is the shear stress field, and ф is the additional tensile stress phase of the Airy stress function. Then we can get Figure 5-Figure 7 The three-dimensional stress field distribution is shown.
[0073] According to the three-dimensional stress field distribution conditions, the Galerkin virtual displacement principle and the minimum work principle are applied to establish the critical coiling tension calculation formula:
[0074]
[0075] Substituting the local high point value, thickness, width, coiling inner diameter, elastic modulus, and Poisson's ratio of the strip that is prone to bulge defects, the Galerkin virtual displacement principle is used to solve the above eighth-order partial differential equation to obtain the required maximum allowable coiling tension value.
[0076] In this embodiment, the maximum allowable value of the coiling tension corresponding to a specific steel grade and specification model of strip steel explains the mechanism of bulging of the strip steel of this steel grade and specification model, that is, when the actual coiling tension is greater than the maximum allowable value of the coiling tension, bulging will occur. Therefore, this embodiment also reveals the mechanism of strip bulging.
[0077] After the calculations above, we can get a series of data that correspond one-to-one between historical production parameters and the maximum allowable winding tension. Then, we can get the relationship between historical production parameters and the maximum winding tension through function fitting of multiple pairs (historical production parameters, maximum allowable winding tension). Figure 8 As shown, step S3 of this embodiment includes: step S31, fitting the influence of historical production parameters on the maximum allowable value of coiling tension; step S32, parameterizing the historical production parameters and the maximum allowable value of coiling tension, and outputting a nonlinear regression equation with critical coiling tension as the function value and current production parameters as the independent variable. Specifically, the multivariate nonlinear regression method is used to fit the influence of historical production parameters on the maximum allowable value of coiling tension, and the neural network is used to parameterize the data through the weighted method. The output nonlinear regression equation is the required critical coiling tension calculation model.
[0078] In this embodiment, the calculation of steps S2-S3 is compared with the simulation calculation using traditional finite element software, and it is found that the analysis time can be greatly reduced.
[0079] In step S4, since the relationship model between the current production parameters and the critical coiling tension has been obtained, in the coiling process of the strip to be coiled, the current production parameters of the strip to be coiled are input into the critical coiling tension calculation model to obtain the critical coiling tension corresponding to the strip. This is equivalent to the actual coiling process of a strip. If the actual coiling tension of a strip is greater than the critical coiling tension of the strip, it is determined that a bulge defect will occur after the strip is coiled. At this time, it is necessary to optimize the coiling tension through step S5. If the actual coiling tension of a strip is greater than the critical coiling tension corresponding to the strip, the actual coiling tension setting value of the strip is reduced. If the actual coiling tension of a strip is too less than the critical coiling tension corresponding to the strip, the actual coiling tension setting value of the strip is increased.
[0080] Through experiments, it was found that with the thickness of the strip as a variable, the critical coiling tension corresponding to the strip at different thicknesses was obtained:
[0081] When the strip thickness is 0.3mm≤0.5mm, the unit critical coiling tension is 8~17Mpa;
[0082] When 0.5mm≤strip thickness<0.7mm, the unit critical coiling tension is 9~19Mpa;
[0083] When the strip thickness is 0.7mm≤<0.9mm, the unit critical coiling tension is 11~22Mpa;
[0084] When the strip thickness is 0.9mm≤<1.1mm, the unit critical coiling tension is 13~23Mpa;
[0085] When the strip thickness is 1.1mm≤<1.3mm, the unit critical coiling tension is 15~25Mpa;
[0086] When the strip thickness is 1.3mm≤<1.5mm, the unit critical coiling tension is 17~26Mpa.
[0087] In this way, in the actual coiling process, for strip steels to be coiled with different thicknesses, the unit coiling tension of the coiler can be set to the above-mentioned unit critical coiling tension, thereby avoiding bulging defects after the strip steel is coiled and avoiding product degradation.
[0088] As can be seen from the above, this embodiment obtains the maximum allowable coiling tension of various steel grades and specifications by analyzing the historical production parameters of strip steel that is prone to bulging defects, and uses the historical production parameters and the maximum allowable coiling tension to establish a model for calculating the critical coiling tension of the strip steel to be coiled. This is equivalent to learning and analyzing historical data to obtain a model for predicting future production data. The critical coiling tension that avoids bulging defects in the subsequent strip steel coiling process can be obtained, and then the actual coiling tension is optimized according to the predicted critical coiling tension, which can avoid bulging defects in the subsequent strip steel coiling process and avoid product degradation.
[0089] This embodiment also provides a coiling tension optimization system for controlling strip steel bulge, such as Fig. 9 As shown, including:
[0090] A historical production parameter acquisition module, used to obtain historical production parameters of steel strips that are prone to bulge defects using rolled steel strips;
[0091] A maximum coiling tension allowable value calculation module, used to calculate the maximum coiling tension allowable value corresponding to the strip steel prone to bulge defects according to the historical production parameters, the maximum coiling tension allowable value being the maximum coiling tension value allowed so that the strip steel prone to bulge defects does not produce bulge defects during the coiling process;
[0092] A critical coiling tension calculation model building module is used to establish a critical coiling tension calculation model in the strip coiling process according to the historical production parameters and the maximum coiling tension allowable value;
[0093] A critical coiling tension calculation module, used for inputting the current production parameters of the strip to be coiled into the critical coiling tension calculation model, and calculating the critical coiling tension corresponding to the strip to be coiled, wherein the critical coiling tension is the maximum coiling tension value allowed so that the strip to be coiled does not produce a bulge defect during the coiling process;
[0094] The actual coiling tension optimization module is used to optimize the actual coiling tension of the strip to be coiled during the coiling process according to the critical coiling tension.
[0095] The coiling tension optimization system for controlling strip bulge of the present embodiment obtains the maximum allowable coiling tension values of strips of various steel grades and specifications by analyzing the historical production parameters of strips that are prone to bulge defects, and uses the historical production parameters and the maximum allowable coiling tension values to establish a model for calculating the critical coiling tension of the strip to be coiled. This is equivalent to learning and analyzing historical data to obtain a model for predicting future production data, and can obtain the critical coiling tension that avoids bulge defects in the subsequent strip coiling process. Then, the actual coiling tension is optimized based on the predicted critical coiling tension, thereby avoiding bulge defects in the subsequent strip coiling process and avoiding product degradation.
[0096] The actual winding tension optimization module of this embodiment includes a radial positioning system, a coil diameter change measuring device and a computer processing system. The radial positioning system and the coil diameter change measuring device are connected to the computer processing system through a bidirectional data signal line. Under the control of the computer processing system, the measurement of the positioning signal moment and the coil diameter change is started and ended respectively, and the real-time data is transmitted to the computer processing system, and the data processing, coil shape quality determination, coil thickness input and tension setting value are completed in the computer processing system and output to the external tension control system after adjustment.
[0097] Based on the same inventive concept as the method for optimizing the coiling tension for controlling the bulge of the strip described above, this embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any one of the methods for optimizing the coiling tension for controlling the bulge of the strip described above are implemented.
[0098] Among them, the bus architecture (represented by the bus), the bus can include any number of interconnected buses and bridges, and the bus links various circuits including one or more processors represented by the processor and memory represented by the memory. The bus can also link various other circuits such as peripherals, voltage regulators, and power management circuits together, which are all well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the receiver and transmitter. The receiver and transmitter can be the same element, namely a transceiver, which provides a unit for communicating with various other devices on a transmission medium. The processor is responsible for managing the bus and general processing, while the memory can be used to store data used by the processor when performing operations.
[0099] Since the electronic device introduced in this embodiment is an electronic device used to implement the method for optimizing the coiling tension for controlling the bulge of the strip steel in the embodiment of the present invention, based on the method for optimizing the coiling tension for controlling the bulge of the strip steel introduced in the embodiment of the present invention, the technical personnel in this field can understand the specific implementation of the electronic device in this embodiment and its various variations, so how the electronic device implements the method in the embodiment of the present invention will not be described in detail here. As long as the technical personnel in this field implement the electronic device used by the method for optimizing the coiling tension for controlling the bulge of the strip steel in the embodiment of the present invention, it belongs to the scope of protection of the present invention.
[0100] Based on the same inventive concept as the above-mentioned method for optimizing coiling tension for controlling strip bulge, the present invention also provides a computer-readable storage medium, which, when executed, implements any of the above-mentioned methods for optimizing coiling tension for controlling strip bulge.
[0101] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0102] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0103] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0105] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
[0106] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. A method for optimizing coiling tension for controlling strip steel bulge, characterized in that: include: Using coiled strip steel to obtain historical production parameters of strip steel that is prone to bulge defects; Calculate the maximum allowable coiling tension corresponding to the strip prone to bulge defects according to the historical production parameters, wherein the maximum allowable coiling tension is the maximum allowable coiling tension value that prevents the strip prone to bulge defects from generating bulge defects during the coiling process; Calculating the maximum allowable coiling tension corresponding to the steel strip prone to bulge defects according to the historical production parameters, including: obtaining the three-dimensional stress field distribution of the steel strip prone to bulge defects; calculating the maximum allowable coiling tension according to the historical production parameters and the three-dimensional stress field distribution; Obtaining the three-dimensional stress field distribution of the steel strip prone to bulge defects, including: performing a stress analysis on the steel strip prone to bulge defects, introducing and solving the Airy stress function based on plate and shell theory; substituting the historical production parameters into the Airy stress function to calculate the three-dimensional stress field distribution; The three-dimensional stress field distribution is σ x is the axial stress field, σ y is the circumferential stress field, τ xy is the shear stress field, ф is the additional tensile stress phase of the Airy stress function; The historical production parameters include the thickness of the strip and the inner diameter of the coil; Calculating the maximum allowable winding tension value according to the historical production parameters and the three-dimensional stress field distribution, including: establishing a critical winding tension calculation formula according to the thickness, the winding inner diameter and the three-dimensional stress field distribution Solving the critical winding tension calculation formula to obtain the maximum allowable winding tension value; Wherein, D is the bending rigidity of the strip, h is the thickness, w is the deflection function, Ky=1 / r, r is the coiling inner diameter, and E is the elastic modulus of the strip; Establishing a critical coiling tension calculation model in the strip coiling process according to the historical production parameters and the maximum coiling tension allowable value; Inputting the current production parameters of the strip to be coiled into the critical coiling tension calculation model to calculate the critical coiling tension corresponding to the strip to be coiled, wherein the critical coiling tension is the maximum coiling tension value allowed so that the strip to be coiled does not produce bulge defects during the coiling process; The actual coiling tension of the steel strip to be coiled during the coiling process is optimized according to the critical coiling tension.
2. The method for optimizing coiling tension for controlling strip steel bulge according to claim 1, characterized in that: The solution of the critical coiling tension calculation formula is based on the Galerkin virtual displacement principle.
3. The method for optimizing coiling tension for controlling strip steel bulge according to claim 1, characterized in that: A critical coiling tension calculation model in the strip coiling process is established according to the historical production parameters and the maximum coiling tension allowable value, including: Fitting the influence of the historical production parameters on the maximum allowable value of the coiling tension; The historical production parameters and the maximum allowable value of the coiling tension are parameterized, and a nonlinear regression equation is outputted with the critical coiling tension as a function value and the current production parameters as independent variables.
4. A coiling tension optimization system for controlling strip steel bulge, characterized in that: include: A historical production parameter acquisition module, used to obtain historical production parameters of steel strips that are prone to bulge defects using rolled steel strips; A maximum coiling tension allowable value calculation module, used to calculate the maximum coiling tension allowable value corresponding to the strip steel prone to bulge defects according to the historical production parameters, the maximum coiling tension allowable value being the maximum coiling tension value allowed so that the strip steel prone to bulge defects does not produce bulge defects during the coiling process; Calculating the maximum allowable coiling tension corresponding to the steel strip prone to bulge defects according to the historical production parameters, including: obtaining the three-dimensional stress field distribution of the steel strip prone to bulge defects; calculating the maximum allowable coiling tension according to the historical production parameters and the three-dimensional stress field distribution; Obtaining the three-dimensional stress field distribution of the steel strip prone to bulge defects, including: performing a stress analysis on the steel strip prone to bulge defects, introducing and solving the Airy stress function based on plate and shell theory; substituting the historical production parameters into the Airy stress function to calculate the three-dimensional stress field distribution; The three-dimensional stress field distribution is σ x is the axial stress field, σ y is the circumferential stress field, τ xy is the shear stress field, ф is the additional tensile stress phase of the Airy stress function; The historical production parameters include the thickness of the strip and the inner diameter of the coil; Calculating the maximum allowable winding tension value according to the historical production parameters and the three-dimensional stress field distribution, including: establishing a critical winding tension calculation formula according to the thickness, the winding inner diameter and the three-dimensional stress field distribution Solving the critical winding tension calculation formula to obtain the maximum allowable winding tension value; Wherein, D is the bending rigidity of the strip, h is the thickness, w is the deflection function, Ky=1 / r, r is the coiling inner diameter, and E is the elastic modulus of the strip; A critical coiling tension calculation model building module is used to establish a critical coiling tension calculation model in the strip coiling process according to the historical production parameters and the maximum coiling tension allowable value; A critical coiling tension calculation module, used for inputting the current production parameters of the strip to be coiled into the critical coiling tension calculation model, and calculating the critical coiling tension corresponding to the strip to be coiled, wherein the critical coiling tension is the maximum coiling tension value allowed so that the strip to be coiled does not produce a bulge defect during the coiling process; The actual coiling tension optimization module is used to optimize the actual coiling tension of the strip to be coiled during the coiling process according to the critical coiling tension.
5. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for optimizing the coiling tension for controlling the bulge of the strip steel as claimed in any one of claims 1 to 3 is implemented.
6. A computer-readable storage medium, characterized in that: When the computer-readable storage medium is executed, the method for optimizing the coiling tension for controlling the bulge of the strip steel as described in any one of claims 1 to 3 is implemented.
