Blank size optimization method

By constructing three-dimensional models of rolling parts and rolls, rolling simulation and equivalent shear length calculation are carried out, the blank size is optimized, and the problem of low material yield in rolling medium and thick plates is solved, and efficient production and cost control are achieved.

CN119761072AInactive Publication Date: 2025-04-04NORTHEASTERN UNIV CHINA
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Patent Information

Application Number
CN202510248259.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-04-04
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In medium-thick plate rolling production, it is difficult to accurately determine the blank size due to traditional empirical methods, resulting in problems such as low material yield, waste of raw materials and increased costs.

Method used

By obtaining the parameters of rolling parts and rolling rolls, rolling simulations are carried out for multiple sets of preset parameters for plane shape control, equivalent shear length is calculated, target parameters for plane shape control are determined, and blank size is optimized.

Benefits of technology

It has improved the yield rate, reduced the defective rate and waste of raw materials, achieved cost reduction and efficiency improvement, and improved the competitiveness of the enterprise.

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Abstract

The invention discloses a blank size optimization method, belongs to the technical field of metal rolling, and mainly aims to improve the rolling production yield of medium plates. According to the main technical scheme, the blank size optimization method comprises the steps that first parameters of a rolled piece and second parameters of a roller are obtained, three-dimensional models of the rolled piece and the roller are constructed according to the first parameters and the second parameters, and the first parameters comprise multiple sets of plane shape control preset parameters; according to the multiple sets of plane shape control preset parameters, rolling simulation of multiple passes is carried out on the rolled pieces according to the sets, and after rolling simulation of each set of rolled pieces is finished, the equivalent shearing length of each set of rolled pieces in the rolling direction is calculated; and determining a plane shape control target parameter based on a calculation result.
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Description

Technical Field

[0001] The present application belongs to the field of metal rolling technology, and specifically relates to a method for optimizing billet size. Background Art

[0002] In the metal rolling industry, yield rate, a key parameter among various economic and technical indicators, plays a decisive role in enterprise cost control and efficiency improvement. In the medium and heavy plate rolling process, in particular, due to the complex and diverse product varieties and specifications, steel mills routinely use oversized billets to effectively avoid the occurrence of unintended products. However, while this practice ensures production stability to a certain extent, it also leads to a large amount of unnecessary shearing, resulting in the waste of raw materials, directly reducing the yield rate and placing unnecessary costs on the enterprise.

[0003] A deeper dive into the plate rolling process reveals that metal flow patterns are a key factor influencing billet shaping and yield. Traditional methods of determining billet dimensions, relying on empirical estimates, are no longer adaptable to the demands of modern steelmakers for high-precision, low-cost production. Summary of the Invention

[0004] In view of this, the present application provides a billet size optimization method, the main purpose of which is to improve the yield rate of medium and thick plate rolling production.

[0005] To achieve the above objectives, this application mainly provides the following technical solutions: The present application provides a method for optimizing billet size, comprising: Acquiring first parameters of a workpiece and second parameters of a roll, and constructing three-dimensional models of the workpiece and the roll respectively based on the first parameters and the second parameters, wherein the first parameters include multiple sets of plane shape control preset parameters; performing a plurality of rolling simulations on the rolled pieces in groups according to the plurality of groups of preset plane shape control parameters, and calculating the equivalent shear length of each group of rolled pieces in the rolling direction after the rolling simulation of each group of rolled pieces is completed; Plane shape control target parameters are determined based on the calculation results.

[0006] Optionally, the calculation formula for the equivalent shear length is: ; Where, is the equivalent shear length, is the maximum value reached by the middle region in the width direction of the rolled piece along the length direction of the rolled piece, and It is the minimum value reached by the two end regions in the width direction of the rolled piece along the length direction of the rolled piece.

[0007] Optionally, the calculation formula for the equivalent shear length is: ; Where, is the equivalent shear length, is the minimum value reached by the middle region in the width direction of the rolled piece along the length direction of the rolled piece, and It is the maximum value reached by the two end regions in the width direction of the rolled piece along the length direction of the rolled piece.

[0008] Optionally, after constructing the three-dimensional models of the workpiece and the roller respectively according to the first parameter and the second parameter, the billet size optimization method further includes: Material properties are added to the constructed three-dimensional models of the workpiece and the roll, meshing is performed, and contact relationships are set.

[0009] Optionally, determining the plane shape control target parameters based on the calculation results includes: A surface graph is drawn based on the calculation results. In the surface graph, the plane shape control preset parameter is used as the independent variable, and the equivalent shear length is used as the dependent variable for visualization, so that the plane shape control preset parameter corresponding to the equivalent shear length with the smallest value is locked as the plane shape control target parameter.

[0010] Optionally, after determining the plane shape control target parameters based on the calculation results, the billet size optimization method further includes: Calculating a target billet volume of the rolled piece based on the plane shape control target parameter; Calculating the empirical blank volume of the rolled piece based on the plane shape control empirical parameters; The size of the input billet is adjusted based on the target billet volume and the empirical billet volume.

[0011] Optionally, the target blank volume is calculated as follows: ; Where, is the target billet volume, is the length of the rolled piece, is the cross-sectional area of ​​the target billet in the rolling direction; The calculation formula of the empirical blank volume is: ; Where, is the empirical blank volume, is the length of the rolled piece, It is the cross-sectional area of ​​the empirical billet in the rolling direction.

[0012] Optionally, the calculation formula for the cross-sectional area of ​​the target billet in the rolling direction is: ; Where, is the cross-sectional area of ​​the target billet in the rolling direction, is the width of the target blank, is the target blank thickness, Controlling the height of the target blank's plane shape, Control the additional height for the plane shape of the target blank, is the length of the steady-state platform section of the target billet, is the unsteady slope length of the target blank.

[0013] Optionally, adjusting the size of the input billet based on the target billet volume and the empirical billet volume includes: Calculating the difference between the target blank volume and the empirical blank volume; The amount of input that can be reduced in the length direction of the empirical blank is calculated based on the difference.

[0014] Optionally, the calculation formula for the empirically calculated amount of the blank that can be reduced in the length direction is: ; Where, is the amount of input that can be reduced in the length direction of the empirical blank, is the difference between the target blank volume and the empirical blank volume, is the blank thickness corresponding to the empirical blank, is the blank width corresponding to the empirical blank.

[0015] By means of the above technical solution, this application has at least the following beneficial effects: The billet size optimization method provided in the embodiment of the present application first obtains the first parameter of the rolled piece and the second parameter of the rolling roller to construct a three-dimensional model, which can highly simulate the actual rolling process, thereby accurately presenting the deformation characteristics of the rolled piece; then, multiple rolling simulations are carried out in groups based on multiple groups of plane shape control preset parameters, and the equivalent shear length of each group of rolled pieces in the rolling direction is calculated, which can determine the equivalent shear amount of the finished product obtained from the billet size with different plane shape control preset parameters, so that the enterprise can quickly identify the plane shape control preset parameter combination that can reduce the shear loss by analyzing the equivalent shear amount, and then optimize and adjust the process parameters before actual production to avoid the cost increase caused by blind investment; finally, the plane shape control target parameters are determined based on the above calculation results, abandoning the traditional empirical blind setting, and instead operating according to clear plane shape control target parameters, which can continuously and steadily improve the yield rate, reduce the defective rate, and ultimately achieve cost reduction and efficiency improvement, and enhance the competitiveness of the enterprise in the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a method for optimizing billet size according to an optional embodiment of the present application; Figure 2 A flowchart of a method for optimizing billet size according to another optional embodiment of the present application; Figure 3 This is a schematic structural diagram of a three-dimensional model of a rolled piece and a roll according to an optional embodiment of the present application; Figure 4 This is a schematic structural diagram of a cross section of a rolled piece in the rolling direction according to an optional embodiment of the present application; Figure 5 This is a structural schematic diagram of the shearing portion after the rolling simulation of the rolled piece is completed in an optional embodiment of the present application; Figure 6 This is a surface graph constructed by taking the shape control preset parameters as independent variables and the equivalent shear length as the dependent variable in an optional embodiment of the present application. DETAILED DESCRIPTION

[0017] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0018] In this embodiment, a method for optimizing the size of a blank is provided. Figure 1 As shown, the method includes: Step S101: obtaining first parameters of the workpiece and second parameters of the roll, and constructing three-dimensional models of the workpiece and the roll respectively according to the first parameters and the second parameters, wherein the first parameters include a plurality of sets of plane shape control preset parameters.

[0019] The billet size optimization method provided in the embodiments of the present application can be applied to fields such as metal rolling, and specifically to the production of medium and thick plate rolling. When performing medium and thick plate rolling, the first parameters of the workpiece and the second parameters of the roller can first be obtained. Then, a three-dimensional model of the workpiece is constructed based on the first parameters, and a three-dimensional model of the roller is constructed based on the second parameters. Here, the first parameters of the workpiece include, but are not limited to: the initial length, width, thickness of the workpiece, and multiple sets of preset parameters for planar shape control of the workpiece. The second parameters of the roller include, but are not limited to: the diameter and length of the roller.

[0020] Among them, see Figure 4 As shown, the plane shape control preset parameters include plane shape control height , plane shape controls additional height , steady-state platform length and the length of the unsteady slope In practical applications, the parameters in Table 1 are selected as the preset parameters for multiple sets of planar shape control of rolled pieces.

[0021] Table 1: Plane shape control preset parameters

[0022] Specifically, using the acquired first and second parameters, a three-dimensional model of the workpiece and rolls can be constructed using specialized modeling software (such as the modeling module included with finite element analysis software like Deform). This allows for a highly realistic simulation of the actual rolling process, accurately representing the deformation characteristics of the workpiece and providing a solid foundation for subsequent precise analysis.

[0023] Step S102: performing multiple-pass rolling simulations on the rolled pieces in groups according to multiple sets of plane shape control preset parameters, and calculating the equivalent shear length of each group of rolled pieces in the rolling direction after the rolling simulation of each group of rolled pieces is completed.

[0024] In this embodiment, the rolling simulation is performed in groups based on the preset parameters of the plane shape control. Each group of parameters represents a specific rolling process attempt. Specifically, in the medium and thick plate rolling production, each group of medium and thick plate rolling may usually require 5 to 10 passes. In the first pass, see Figure 3As shown, the driven rollers rotate at a constant speed around their axes, while a pusher pushes the workpiece into the roll gap. Once the workpiece is engaged in the roll gap, the friction between the rollers and the workpiece pulls it into the gap. At this point, the workpiece and the pusher naturally separate. The first rolling pass concludes when the workpiece is completely out of the roll gap. In the second pass, after the first pass, the roll gap is reset, and the rollers are driven in the opposite direction, forcing the workpiece into the roll gap. The second rolling pass concludes when the workpiece is completely out of the roll gap. The subsequent pass setting process is repeated in this manner until all passes in a group are completed. The above process is repeated for the remaining groups. Following the rolling schedule in Table 2, simulations are performed one by one according to the preset planar shape control parameters for each group, generating detailed data for the workpiece under multiple different process conditions. Furthermore, after the rolling simulation for each group, the equivalent shear length in the rolling direction must be calculated. This requires first determining the shape change of the workpiece before and after rolling, particularly the change in length. Then, using a specific algorithm, taking into account factors such as the deformation pattern of the rolled product, these shearing amounts are converted into equivalent lengths in the rolling direction. It should be noted that step S102 performs multiple rolling simulations on a group-by-group basis based on multiple sets of planar shape control preset parameters, and calculates the equivalent shearing length of each set of rolled products in the rolling direction. This allows the equivalent shearing amounts of finished products obtained from billet sizes with different planar shape control preset parameters to be determined, thereby obtaining the variation pattern of the rolling yield for billet sizes with different planar shape control preset parameters.

[0025] Table 2: Rolling schedule

[0026] In some specific examples, after the rolling simulation of the rolled piece is completed, Figure 5 When the tongue shape is shown in the dotted line, the equivalent shear length of each group of rolled pieces in the rolling direction conforms to the formula: ; Where, is the equivalent shear length, It is the maximum value reached in the middle area of ​​the width direction of the rolled piece along the length direction of the rolled piece. and It is the minimum value reached by the two end areas in the width direction of the rolled piece along the length direction of the rolled piece.

[0027] In other specific examples, after the rolling simulation of the rolled piece is completed, Figure 5 In the case of the fishtail shape shown by the solid line, the equivalent shear length of each group of rolled pieces in the rolling direction conforms to the formula: ; Where, is the equivalent shear length, It is the minimum value reached in the middle area of ​​the width direction of the rolled piece along the length direction of the rolled piece. and It is the maximum value reached by the two end areas in the width direction of the rolled piece along the length direction of the rolled piece.

[0028] Step S103: Determine the plane shape control target parameters based on the calculation results.

[0029] In this example, the equivalent shear lengths obtained from each set of simulation calculations are first sorted and compared. Then, the corresponding set of preset plane shape control parameters with the smallest equivalent shear length is selected as the plane shape control target parameters. This is used as a guiding standard in actual rolling production to achieve the goal of reverse optimization of billet input. Here, determining the plane shape control target parameters based on the above calculation results abandons the traditional empirical blind setting method and instead operates according to clear plane shape control target parameters. This can continuously and steadily improve the yield rate and reduce the defective rate, ultimately achieving cost reduction and efficiency improvement, and enhancing the company's competitiveness in the industry.

[0030] By applying the technical solution of this embodiment, the first parameters of the rolled piece and the second parameters of the rolling roller are first obtained to construct a three-dimensional model, which can highly simulate the actual rolling process and thus accurately present the deformation characteristics of the rolled piece; then, multiple rolling simulations are carried out in groups based on multiple groups of plane shape control preset parameters, and the equivalent shear length of each group of rolled pieces in the rolling direction is calculated, which can determine the equivalent shear amount of the finished product obtained from the billet size with different plane shape control preset parameters, so that the enterprise can quickly identify the plane shape control preset parameter combination that can reduce the shear loss by analyzing the equivalent shear amount, and then optimize and adjust the process parameters before actual production to avoid the cost increase caused by blind investment; finally, the plane shape control target parameters are determined based on the above calculation results, abandoning the traditional empirical blind setting, and instead operating according to clear plane shape control target parameters, which can continuously and steadily improve the yield rate and reduce the defective rate, ultimately achieving cost reduction and efficiency improvement, and enhancing the competitiveness of the enterprise in the industry.

[0031] Furthermore, as a refinement and expansion of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, another billet size optimization method is provided, such as Figure 2 As shown, the method includes: Step S201: obtaining first parameters of the workpiece and second parameters of the roll, and constructing three-dimensional models of the workpiece and the roll respectively according to the first parameters and the second parameters, wherein the first parameters include a plurality of sets of plane shape control preset parameters.

[0032] In this embodiment, for the selection of the first parameter, the initial length of the rolled piece is selected. The initial width of the rolled piece is 1000 mm. The initial thickness of the rolled piece is 1200 mm. The diameter of the rolled product is 171.31 mm. The preset parameters for the multiple planar shape control parameters for the rolled product are listed in Table 1. For the selection of the second parameter, the diameter and length of the selected rolls were directly determined based on actual on-site operating conditions, i.e., roll dimensions currently in use or highly compatible with the on-site operating conditions were used. A three-dimensional thermo-mechanical coupled rigid-plastic finite element model was constructed using the Shape_Rolling module of DEFORM-3D. The simulated dynamic process is as follows: the rolls rotate uniformly around their axes, with an angular velocity of 25 rpm. Simultaneously, a pusher pushes the workpiece into the roll gap, with a pusher speed of 50 mm / s. Once the workpiece is engaged in the roll gap, friction between the rolls and the workpiece pulls it into the gap, and the workpiece and pusher naturally separate. The first rolling pass concludes when the workpiece is completely out of the roll gap. It should be noted that a series of reasonable assumptions about the plate rolling process were made to facilitate the finite element simulation. The workpiece is assumed to be a homogeneous and isotropic plastic material. This setting simplifies the difficulty of modeling the complex mechanical behavior within the material, allowing subsequent calculations to focus on the critical rolling deformation process. The rolls are set as rigid rolls, avoiding the complex calculations caused by the roll deformation itself and highlighting the morphological evolution of the workpiece under the action of rolling forces. Furthermore, the symmetry plane is defined as an adiabatic surface with a heat flux of zero, effectively reducing the interference of heat transfer factors in the initial simulation, allowing users to focus more on the mechanical deformation mechanism. At the same time, the workpiece temperature is stably set at 1050°C, providing a unified thermal environment initial condition for the entire rolling simulation.

[0033] Step S202: Add material properties to the constructed three-dimensional models of the workpiece and rollers, perform meshing, and set contact relationships.

[0034] In this example, for adding material properties, rigid rollers with no elastic deformation are selected, made of AISI-H-13 die steel. The lower roller uses the same dimensions and mesh as the upper roller. The workpiece is a rigid-plastic material, specifically AISI-1045 plain carbon steel. For meshing, the meshed hexahedrons are 27.4 mm × 28.4 mm × 8.33 mm, with a total of 300,246 hexahedrons. For setting the contact relationship, shear friction is used at the contact surface between the workpiece and roller, with a friction coefficient of 0.43. Initial positions are set based on the relative position of the roller and workpiece during the rolling process, and the object relationship is generated.

[0035] Step S203: performing multiple-pass rolling simulations on the rolled pieces in groups according to multiple sets of plane shape control preset parameters, and calculating the equivalent shear length of each group of rolled pieces in the rolling direction after the rolling simulation of each group of rolled pieces is completed.

[0036] In this embodiment, when performing finite element solution, after the previous rolling is completed, the roll gap is reset, and the roll speed and the piece pushing speed are reversed so that the piece enters the roll gap in the opposite direction. When the piece is completely rolled out of the roll gap, the next rolling is completed. The subsequent pass setting process is analogous until the rolling process of all passes in a group is completed. The above process is repeated for other groups, and according to the rolling regulations in Table 2, multiple rolling simulations are performed for each combination of plane shape control preset parameters. When extracting the finite element analysis results, the Data Extraction function is first used to derive the edge points on the vertical plane after rolling, and then the equivalent shear length of the piece in the rolling direction corresponding to the different plane shape control preset parameters shown in Table 3 is calculated based on the above-mentioned equivalent shear length calculation formula.

[0037] Table 3: Equivalent shear length corresponding to preset parameters of different plane shapes

[0038] Step S204: Draw a surface graph based on the calculation results. In the surface graph, the plane shape control preset parameter is used as the independent variable and the equivalent shear length is used as the dependent variable for visualization, thereby locking the plane shape control preset parameter corresponding to the equivalent shear length with the smallest value as the plane shape control target parameter.

[0039] In this embodiment, in order to ensure the accuracy and reliability of the results, mathematical methods such as interpolation or curve fitting can be used to further smooth the surface graph and supplement the data to clearly present the relationship trend between the parameters and the equivalent shear length and accurately locate the minimum point. Figure 6 As shown in the figure, by analyzing the surface graph, the plane shape control preset parameter combination corresponding to the highest point of the surface is determined. This parameter combination is the plane shape control target parameter corresponding to the equivalent shear length with the minimum value. Here, the plane shape control height in the plane shape control target parameter is 6.5mm, the flat shape controls the additional height 0.54mm, the length of the steady-state platform segment 70mm, non-steady slope length It is 300mm.

[0040] Step S205: Calculate the target billet volume of the rolled piece according to the plane shape control target parameters.

[0041] In this embodiment, the target billet volume is the optimized billet input volume.

[0042] The calculation formula for the target billet volume is: ; Where, is the target billet volume, is the length of the rolled piece, is the cross-sectional area of ​​the target billet in the rolling direction.

[0043] Among them, the calculation formula of the cross-sectional area of ​​the target billet in the rolling direction is: ; Where, is the cross-sectional area of ​​the target billet in the rolling direction, is the target billet width, is the target billet thickness, Control the height for the target blank's plane shape, Control the additional height for the plane shape of the target blank, is the length of the steady-state platform section of the target billet, is the unsteady slope length of the target blank.

[0044] Specifically, in this embodiment, the width of the target blank is The target blank thickness is 171.31 mm. The target blank length is 1200mm 1000mm, the target blank's plane shape controls the height 6.5mm, the target blank's plane shape controls the additional height The target blank’s steady-state platform length is 0.54 mm. The unsteady slope length of the target blank is 70 mm. The above values ​​are substituted into the calculation formula of the cross-sectional area of ​​the target billet in the rolling direction and the calculation formula of the target billet volume, and the target billet volume is obtained as 1.98×10 8 mm 3 .

[0045] Step S206: Calculate the empirical blank volume of the rolled piece based on the plane shape control empirical parameters.

[0046] In this embodiment, the empirical blank volume is the unoptimized blank input volume. Here, the empirical blank width is also 171.31 mm, the empirical blank thickness is also 1200 mm, and the empirical blank length is also 1000 mm. However, the empirical planar shape control parameters of the empirical blank differ from the target planar shape control parameters of the target blank. The empirical planar shape control parameters of the empirical blank include an empirical planar shape control height of 6.5 mm, an empirical planar shape control additional height of 0.54 mm, a steady-state platform length of 30 mm, and a non-steady-state slope length of 450 mm.

[0047] Among them, the calculation formula of the empirical blank volume is: ; Where, is the empirical blank volume, is the length of the rolled piece, It is the cross-sectional area of ​​the empirical billet in the rolling direction.

[0048] It should be noted that the calculation method of the empirical blank volume is the same as that of the target blank volume. According to the above parameters of the empirical blank, the empirical blank volume can be obtained to be 2.01×10 8 mm 3 .

[0049] Step S207: Adjust the size of the input billet based on the target billet volume and the empirical billet volume.

[0050] In this embodiment, the target billet volume is compared with the empirical billet volume. The target billet volume is smaller than the empirical billet volume, which means that through the optimized process parameters, the enterprise can reduce the billet input and directly reduce the cost of raw materials. At this time, adjusting the size of the input billet is to accurately determine the new billet length, width, thickness and other parameters based on the geometric dimensions corresponding to the target billet volume, to ensure that the input billet can meet production needs without causing waste. Here, the target billet volume is the ideal billet amount calculated based on the plane shape control target parameters after comprehensively considering factors such as how to minimize the equivalent shear length in the rolling process and improve the yield rate in the above step S205. The empirical billet volume, in contrast, is the billet volume adopted by the enterprise in the past long-term production practice, based on traditional processes, operating habits and previous experience in product specification requirements.

[0051] Furthermore, step S207 includes: Step S2071: Calculate the difference between the target blank volume and the empirical blank volume.

[0052] Among them, the difference between the target billet volume and the empirical billet volume conforms to the formula: ; Where, is the empirical blank volume, is the target billet volume.

[0053] Here, according to step S205, the target blank volume 1.98×10 8 mm 3 According to step S206, the volume of the blank is 2.01×10 8 mm3 From this, the difference between the target blank volume and the empirical blank volume can be obtained. is 3.272.01×10 8 mm 3 .

[0054] Step S2072: Calculate the amount of input that can be reduced in the length direction of the blank based on the difference.

[0055] Among them, the calculation formula for the amount of input that can be reduced in the length direction of the empirical blank is: ; Where, It is the value of the amount of input that can be reduced in the length direction of the empirical blank. is the difference between the target blank volume and the empirical blank volume, is the thickness of the blank corresponding to the empirical blank, is the blank width corresponding to the empirical blank.

[0056] Here, the difference between the target billet volume and the empirical billet volume is is 3.272.01×10 8 mm 3 , the thickness of the blank corresponding to the experience blank 1200mm, the width of the blank corresponding to the experience blank It is 171.31mm. From this, we can get the value of the amount of input that can be reduced in the length direction of the empirical blank It is 26.19mm.

[0057] It is easy for those skilled in the art to understand that, under the premise of no conflict, the above-mentioned advantageous methods can be freely combined and superimposed.

[0058] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application. The above are merely preferred embodiments of the present application. It should be noted that those skilled in the art may make various improvements and variations without departing from the technical principles of the present application, and such improvements and variations shall also be considered within the scope of protection of the present application.

Claims

1. A method for optimizing billet size, characterized in that: include: Acquire a first parameter of a workpiece and a second parameter of a roll, and construct three-dimensional models of the workpiece and the roll respectively according to the first parameter and the second parameter, wherein the first parameter includes a plurality of sets of plane shape control preset parameters, and the second parameter includes the diameter and length of the roll; Carrying out multiple-pass rolling simulations on the rolled pieces in groups according to multiple groups of preset plane shape control parameters, and calculating the equivalent shear length of each group of rolled pieces in the rolling direction after the rolling simulation of each group of rolled pieces is completed; The plane shape control target parameters are determined based on the calculation results.

2. The method for optimizing the size of a blank according to claim 1, characterized in that: The calculation formula of the equivalent shear length is: ; In the formula, is the equivalent shear length, is the maximum value reached by the middle area in the width direction of the rolled piece along the length direction of the rolled piece, and It is the minimum value reached by the two end regions in the width direction of the rolled piece along the length direction of the rolled piece.

3. The method for optimizing the size of a blank according to claim 1, characterized in that: The calculation formula of the equivalent shear length is: ; In the formula, is the equivalent shear length, is the minimum value reached by the middle region in the width direction of the rolled piece along the length direction of the rolled piece, and It is the maximum value reached by the two end regions in the width direction of the rolled piece along the length direction of the rolled piece.

4. The method for optimizing the size of a blank according to claim 1, characterized in that: After constructing the three-dimensional models of the rolled piece and the rolling roller respectively according to the first parameter and the second parameter, the billet size optimization method further includes: Material properties are added to the constructed three-dimensional models of the workpiece and the roller, meshing is performed, and contact relationships are set.

5. The method for optimizing the size of a blank according to claim 1, characterized in that: The determining of the plane shape control target parameters based on the calculation results includes: A surface graph is drawn based on the calculation results. In the surface graph, the plane shape control preset parameter is used as the independent variable, and the equivalent shear length is used as the dependent variable for visualization, so as to lock the plane shape control preset parameter corresponding to the equivalent shear length with the smallest value as the plane shape control target parameter.

6. The method for optimizing the size of a blank according to claim 1, characterized in that: After determining the plane shape control target parameters based on the calculation results, the blank size optimization method further includes: Calculating a target blank volume of the rolled piece according to the plane shape control target parameter; Calculating the empirical blank volume of the rolled piece according to the plane shape control empirical parameters; The size of the input billet is adjusted based on the target billet volume and the empirical billet volume.

7. The method for optimizing the size of a blank according to claim 6, characterized in that: The target blank volume is calculated as follows: ; In the formula, is the target billet volume, is the length of the rolled piece, is the cross-sectional area of ​​the target billet in the rolling direction; The calculation formula of the empirical blank volume is: ; In the formula, is the empirical blank volume, is the length of the rolled piece, It is the cross-sectional area of ​​the empirical billet in the rolling direction.

8. The method for optimizing the size of a blank according to claim 7, characterized in that: The calculation formula of the cross-sectional area of ​​the target billet in the rolling direction is: ; In the formula, is the cross-sectional area of ​​the target billet in the rolling direction, is the width of the target blank, is the target blank thickness, Controlling the height of the plane shape of the target blank, Control the additional height for the plane shape of the target blank, is the length of the steady-state platform section of the target billet, is the non-steady-state slope length of the target blank.

9. The method for optimizing the size of a blank according to claim 6, characterized in that: The step of adjusting the size of the inputted billet based on the target billet volume and the empirical billet volume comprises: Calculating the difference between the target blank volume and the empirical blank volume; The amount of input that can be reduced in the length direction of the empirical blank is calculated based on the difference.

10. The method for optimizing the size of a blank according to claim 9, characterized in that: The calculation formula for the amount of input that can be reduced in the length direction of the empirical blank is: ; In the formula, is the amount of input that can be reduced in the length direction of the empirical blank, is the difference between the target blank volume and the empirical blank volume, is the blank thickness corresponding to the empirical blank, is the blank width corresponding to the empirical blank.

Citation Information

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