Method and device for establishing broadsiding coefficient model in thick plate rolling process
By using finite element simulation models and regression methods, the problem of accurately calculating the width spread during the rolling process of thick plates was solved, and a high-precision width spread coefficient model was established, which is suitable for dimensional control in the rolling process of thick plates.
Patent Information
- Application Number
- CN202510912910.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-03
- Publication Date
- 2025-10-31
AI Technical Summary
Existing technologies struggle to accurately calculate the width expansion during thick plate rolling, theoretical derivation models have limited accuracy, and experimental data regression requires numerous experiments that are difficult to perform on-site.
By establishing a finite element simulation model, determining the parameter ranges for reduction and width-to-thickness ratio, performing simulation calculations and recording the results, obtaining the width expansion coefficient model through regression, and calculating the width expansion coefficient using the formula.
A high-precision width expansion coefficient model was achieved, reducing the impact on the production site and providing a precise basis for calculating rolled piece dimensions.
Smart Images
Figure CN120877978A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of rolling technology, and in particular to a method and apparatus for establishing a width expansion coefficient model for thick plate rolling process. Background Technology
[0002] Thick plate rolling is a typical three-dimensional deformation process. The metal flow during rolling occurs not only along the rolling direction but also along the width direction perpendicular to the rolling direction. That is, while the thickness decreases, there is both lengthening and width widening. Therefore, accurate calculation of the width expansion during thick plate rolling is a crucial step in controlling the dimensions of thick plates.
[0003] In the rolling process of thick plates, the width expansion is affected by factors such as the geometric dimensions of the steel plate and the rolling reduction rate. The smaller the width and the greater the thickness of the steel plate (i.e., the smaller the width-to-thickness ratio), the easier it is for the metal to extend in the width direction during rolling, resulting in a greater width expansion. Under the same geometric dimensions, a greater rolling reduction rate results in a greater width expansion. The width expansion is generally measured by the ratio of the increase in the width of the steel plate after rolling to the original width, i.e., the width expansion coefficient. To accurately calculate the width expansion during the rolling process of thick plates, an accurate width expansion coefficient model is needed. The establishment of the width expansion coefficient model generally employs theoretical derivation or experimental data regression. Theoretical derivation models have limited accuracy, while experimental data regression requires a large number of experiments, which are difficult to conduct on-site in production. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method and apparatus for establishing a width expansion coefficient model in the thick plate rolling process.
[0005] To solve the above technical problems, the technical solution of the present invention is as follows: A method for establishing a width expansion coefficient model in the thick plate rolling process includes: Establish a finite element simulation model for the rolling of wide and thick plates; The simulation range of reduction and width-to-thickness ratio parameters is determined, and the simulation parameters of reduction and width-to-thickness ratio are combined to construct the simulation process conditions of the rolling finite element simulation model. Simulation calculations were performed on each simulated process condition using a finite element simulation model, and the corresponding simulation results were recorded. The breadth factor for the corresponding simulated process conditions is calculated based on the corresponding simulation results; Based on the simulation results, using the reduction amount and width-to-thickness ratio as model parameters, regression was performed to obtain the width expansion coefficient model for the corresponding simulated process conditions.
[0006] As a preferred embodiment of the method for establishing the width expansion coefficient model of the thick plate rolling process described in this invention, the establishment of the finite element simulation model for thick plate rolling includes: Determine the process parameters of the finite element simulation model and construct the three-dimensional geometric model of the roll and the workpiece; Define the material properties and contact relationship between the rolls and the workpiece, and mesh the rolls and the workpiece. Set the finite element simulation calculation step size and the simulation calculation time for each step, perform finite element solution, and extract the finite element analysis results.
[0007] As a preferred embodiment of the method for establishing the width expansion coefficient model of the thick plate rolling process described in this invention, the process parameters of the finite element simulation model include roll parameters and workpiece parameters.
[0008] As a preferred embodiment of the method for establishing the width spread coefficient model of the thick plate rolling process described in this invention, the calculation of the width spread coefficient based on the corresponding simulation process conditions based on the corresponding simulation results includes: Obtain the original width H of the rolled piece and the width h of the intermediate stable width segment after rolling from the finite element simulation. The spread factor for the corresponding simulated process conditions is calculated using Formula 1, which is: .
[0009] As a preferred embodiment of the method for establishing the width spread coefficient model of the thick plate rolling process described in this invention, the step of obtaining the width spread coefficient model corresponding to the simulated process conditions by regression based on simulation results, using reduction amount and width-to-thickness ratio as model parameters, includes: The width expansion coefficient model is as follows: Where x is the reduction amount, y is the width-to-thickness ratio, and a, b, and c are parameters obtained from model regression.
[0010] The present invention also provides an apparatus for establishing a width expansion coefficient model for a thick plate rolling process, comprising: The finite element simulation model building module is used to build a finite element simulation model of the rolling of wide and thick plates; The process condition simulation module is used to determine the parameter simulation range of reduction and width-to-thickness ratio, and to combine the simulation parameters of reduction rate and width-to-thickness ratio to construct the simulation process conditions of the rolling finite element simulation model. The finite element simulation module is used to perform simulation calculations on each simulated process condition constructed using a finite element simulation model and record the corresponding simulation results; The width expansion coefficient calculation module is used to calculate the width expansion coefficient for the corresponding simulated process conditions based on the corresponding simulation results; The width-to-thickness ratio model building module is used to obtain the width-to-thickness ratio model for the corresponding simulated process conditions by regression based on the simulation results, using the reduction amount and width-to-thickness ratio as model parameters.
[0011] The beneficial effects of this invention are: (1) The present invention provides a method for establishing a broad system model through regression. This method can obtain process conditions and a large amount of data consistent with the production site, which not only ensures the accuracy of the model, but also reduces the impact of the model establishment process on on-site production.
[0012] (2) The method for establishing the rolling width expansion coefficient model of the thick plate rolling mill provided by the present invention can establish a high-precision width expansion coefficient model, laying the foundation for accurate calculation of the size of the rolled piece in the thick plate rolling process. Attached Figure Description
[0013] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0014] Figure 1 A flowchart illustrating the method for establishing the width expansion coefficient model in the thick plate rolling process provided by this invention; Figure 2 This is a schematic diagram of the three-dimensional model and mesh division of the roll in the embodiment; Figure 3 This is a schematic diagram of the three-dimensional model and mesh generation of the rolled piece in the embodiment; Figure 4 This is a schematic diagram of the rolling model in the embodiment; Figure 5 This is a schematic diagram of the actual shape of the rolled piece obtained after the simulation in the embodiment; Figure 6 A schematic diagram of the actual data obtained from finite element simulation; Figure 7 This is a schematic diagram of the fitting of the formula for the width expansion coefficient; Figure 8 A schematic diagram of the apparatus for establishing the width expansion coefficient model of the thick plate rolling process provided by the present invention. Detailed Implementation
[0015] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings.
[0016] Figure 1 A flowchart illustrating the method for establishing the width expansion coefficient model in the thick plate rolling process provided in this application. The method specifically includes the following steps: Step S101: Establish a finite element simulation model for the rolling of wide and thick plates.
[0017] Specifically, based on the specific process of thick plate rolling, a suitable finite element simulation software is selected, and a three-dimensional geometric model consistent with the on-site process equipment conditions is established. The specific execution flow of this step is as follows: Step S101a: Determine the process parameters of the finite element simulation model and construct the three-dimensional geometric models of the rolls and rolled pieces. The process parameters of the finite element simulation model include roll parameters and rolled piece parameters.
[0018] Step S101b: Set the material properties and contact relationship of the rolls and the workpiece, and perform mesh generation on the rolls and the workpiece.
[0019] Specifically, this involves adding material properties and setting mesh generation and contact relationships, including selecting material properties for both the rolls and the rolled piece, and meshing based on actual dimensions. Factors such as the coefficient of friction are determined considering actual rolling conditions. Step S101c: Set the finite element simulation calculation step size and the simulation calculation time for each step, perform finite element solution and extract the finite element analysis results.
[0020] Step S102: Determine the simulation range of the reduction amount and width-to-thickness ratio parameters, and combine the simulation parameters of the reduction rate and width-to-thickness ratio to construct the simulation process conditions of the rolling finite element simulation model.
[0021] Specifically, the simulation conditions for reduction rate and width-to-thickness ratio are determined, the intervals for reduction rate and width-to-thickness ratio are divided, and the simulation conditions for reduction rate and width-to-thickness ratio are combined to obtain the process conditions that need to be simulated.
[0022] Step S103: Perform simulation calculations on each simulated process condition using the finite element simulation model and record the corresponding simulation results.
[0023] Step S104: Calculate the breadth factor of the corresponding simulated process conditions based on the corresponding simulation results.
[0024] Specifically, the original width H of the rolled piece and the width h of the intermediate stable width segment after rolling are obtained from the finite element simulation. Then, the width spread coefficient corresponding to the simulated process conditions is calculated using Formula 1: .
[0025] Step S105: Based on the simulation results, using the reduction amount and width-to-thickness ratio as model parameters, regress to obtain the width expansion coefficient model for the corresponding simulated process conditions.
[0026] Specifically, the expansion coefficient model is as follows: Where x is the reduction amount, y is the width-to-thickness ratio, and a, b, and c are parameters obtained from model regression.
[0027] The above technical solution will be further explained below through specific embodiments.
[0028] This embodiment provides a method for establishing a width expansion coefficient model in the thick plate rolling process, specifically including the following steps: Step S101: Establish a finite element simulation model for wide and thick plate rolling. Step S101a: Select the finite element simulation software DEFORM as the simulation tool, and use a 5000mm wide and thick plate rolling mill as the object to establish a three-dimensional geometric model of the rolls and the rolled piece. The roll parameters and rolled piece parameters are shown in Table 1.
[0029]
[0030] Table 1 Roll parameters and workpiece parameters Step S101b: Select H-13 tool steel from the DEFORM material library for the roll material. For mesh generation, set the number of 2D mesh cells to 100, the mesh scale to 1, and the number of 3D layers to 72. The 3D model of the roll and the mesh generation are shown below. Figure 2 As shown. The material selected for the rolled piece is 45# steel from the DEFORM material library. During mesh generation, the number of 2D meshes is set to 200, and the number of 3D meshes is set to 100, for a total of 20,000 hexahedral meshes. The 3D model and mesh generation of the rolled piece are shown below. Figure 3 As shown. The contact relationship is set. The friction coefficient used in the simulation is 0.4, and the heat transfer coefficient is 5 W / (m²). 2 ·℃) -1 Then adjust the positions of each component in the position relationship interface, such as... Figure 4 As shown.
[0031] Step S101c: Set the finite element simulation calculation step size to 1 / 3 of the minimum mesh size, set the time for each step to 0.01s, and automatically save every 10 steps. After the simulation is complete, the actual shape of the rolled piece is obtained as follows: Figure 5 h is the width of the rolled piece.
[0032] Step S102: Simulate process conditions under different reduction rates and width-to-thickness ratios. Selected workpiece thickness and length dimensions: thickness 320mm, length 4500mm. Reduction rate range 5%-15%, interval 1%; width-to-thickness ratio range 5.5-15, interval 0.1. Minimum workpiece width: 320*5.5=1760mm, maximum width: 320*15=4800mm. Simulation conditions are shown in Table 2.
[0033]
[0034] Table 2 List of Simulated Process Conditions Step S103: Perform simulation calculations on each simulated process condition using the finite element simulation model and record the corresponding simulation results.
[0035] Step S104: Taking a reduction rate of 10% and a width-to-thickness ratio of 5.5 as an example, with a raw material thickness of 320mm, an original workpiece width H of 1760mm, and a width h of 1773mm in the middle stable width section after rolling, the width spread coefficient is calculated as follows: .
[0036] Step S105: Use the formula Regression was performed in the form of [formula], and the values of the model parameters a, b, and c were obtained as follows: , , Substitute these parameters into the formula. The final expansion coefficient model is obtained as follows: Where x is the reduction amount and y is the width-to-thickness ratio, both in units of %.
[0037] Figure 6 This is a graph of the actual data obtained from finite element simulation. Figure 7 This is a fitting graph for the width expansion coefficient formula. (From...) Figure 6 and Figure 7 It can be seen that the method for establishing the rolling width expansion coefficient model of the thick plate rolling mill proposed in this application can establish a high-precision width expansion coefficient model, laying the foundation for the accurate calculation of the dimensions of the rolled piece in the thick plate rolling process.
[0038] Figure 8 This is a schematic diagram of the apparatus for establishing a width spread coefficient model for the thick plate rolling process provided in this application. The apparatus includes: a finite element simulation model construction module, a process condition simulation module, a finite element simulation module, a width spread coefficient calculation module, and a width spread coefficient model construction module.
[0039] Specifically, the finite element simulation model building module is used to establish a finite element simulation model for the rolling of thick plates.
[0040] The process condition simulation module is used to determine the parameter simulation range of reduction and width-to-thickness ratio, and to combine the simulation parameters of reduction rate and width-to-thickness ratio to construct the simulation process conditions of the rolling finite element simulation model. The finite element simulation module is used to perform simulation calculations on each simulated process condition constructed using a finite element simulation model, and to record the corresponding simulation results; The width expansion coefficient calculation module is used to calculate the width expansion coefficient for the corresponding simulated process conditions based on the corresponding simulation results; The width-to-thickness ratio model building module is used to obtain the width-to-thickness ratio model for the corresponding simulated process conditions by regression based on the simulation results, using the reduction amount and width-to-thickness ratio as model parameters.
[0041] Therefore, the technical solution of this application establishes a broad system model through regression analysis. This method can obtain process conditions and a large amount of data consistent with the production site, ensuring model accuracy while reducing the impact of the model building process on on-site production.
[0042] In addition to the above embodiments, the present invention may have other implementation methods; all technical solutions formed by equivalent substitution or equivalent transformation fall within the protection scope claimed by the present invention.
Claims
1. A method for establishing a width expansion coefficient model in the thick plate rolling process, characterized in that: include: Establish a finite element simulation model for the rolling of wide and thick plates; The simulation range of reduction and width-to-thickness ratio parameters is determined, and the simulation parameters of reduction and width-to-thickness ratio are combined to construct the simulation process conditions of the rolling finite element simulation model. Simulation calculations were performed on each simulated process condition using a finite element simulation model, and the corresponding simulation results were recorded. The breadth factor for the corresponding simulated process conditions is calculated based on the corresponding simulation results; Based on the simulation results, using the reduction amount and width-to-thickness ratio as model parameters, regression was performed to obtain the width expansion coefficient model for the corresponding simulated process conditions.
2. The method for establishing the width expansion coefficient model for the thick plate rolling process according to claim 1, characterized in that: The establishment of the finite element simulation model for wide and thick plate rolling includes: Determine the process parameters of the finite element simulation model and construct the three-dimensional geometric model of the roll and the workpiece; Define the material properties and contact relationship between the rolls and the workpiece, and mesh the rolls and the workpiece. Set the finite element simulation calculation step size and the simulation calculation time for each step, perform finite element solution, and extract the finite element analysis results.
3. The method for establishing the width expansion coefficient model for the thick plate rolling process according to claim 1, characterized in that: The process parameters of the finite element simulation model include roll parameters and workpiece parameters.
4. The method for establishing the width expansion coefficient model for the thick plate rolling process according to claim 1, characterized in that: The calculation of the broadening factor for the corresponding simulated process conditions based on the corresponding simulation results includes: Obtain the original width H of the rolled piece and the width h of the intermediate stable width segment after rolling from the finite element simulation. The spread factor for the corresponding simulated process conditions is calculated using Formula 1, which is: .
5. The method for establishing the width expansion coefficient model for the thick plate rolling process according to claim 1, characterized in that: The model for obtaining the width expansion coefficient under the simulated process conditions based on simulation results, using reduction amount and width-to-thickness ratio as model parameters, includes: The width expansion coefficient model is as follows: Where x is the reduction amount, y is the width-to-thickness ratio, and a, b, and c are parameters obtained from model regression.
6. A device for establishing a model of the width expansion coefficient in the thick plate rolling process, characterized in that: include: The finite element simulation model building module is used to build a finite element simulation model of the rolling of wide and thick plates; The process condition simulation module is used to determine the parameter simulation range of reduction and width-to-thickness ratio, and to combine the simulation parameters of reduction rate and width-to-thickness ratio to construct the simulation process conditions of the rolling finite element simulation model. The finite element simulation module is used to perform simulation calculations on each simulated process condition constructed using a finite element simulation model and record the corresponding simulation results; The width expansion coefficient calculation module is used to calculate the width expansion coefficient for the corresponding simulated process conditions based on the corresponding simulation results; The width-to-thickness ratio model building module is used to obtain the width-to-thickness ratio model for the corresponding simulated process conditions by regression based on the simulation results, using the reduction amount and width-to-thickness ratio as model parameters.