Thickness distribution control method and system in angle rolling process of aluminum alloy plate
By optimizing the input data of the aluminum alloy sheet angle rolling process through multiple calculation and control feedback steps, the problem of uneven thickness distribution during the aluminum alloy sheet angle rolling process was solved, the rolling accuracy and control efficiency were improved, and the quality and mechanical properties of the sheet were enhanced.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-03-03
AI Technical Summary
During the angle rolling process of aluminum alloy sheets, the uneven thickness distribution of the deformation zone on both sides of the rolling center line leads to insufficient sheet quality, low rolling forming rate, and poor mechanical properties after angle rolling.
The angle rolling process is simulated cyclically through multiple calculation steps and control feedback steps. The input data is continuously optimized and adjusted based on the simulation results. The standardized angle rolling coordinate system, geometric rotation and influence function method are used for modeling. Combined with element division and discretization operations, the rolling force calculation model is optimized to achieve the use of optimal input data.
It improves rolling accuracy and control efficiency, alleviates asymmetric stress and thickness deviation problems, enhances the uniformity of plate thickness distribution and mechanical properties, shortens the rolling parameter configuration time, and has self-learning capabilities.
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Figure CN121598103A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of angle rolling technology, and in particular relates to a method and system for controlling the thickness distribution during the angle rolling process of aluminum alloy sheets. Background Technology
[0002] Aluminum alloy sheets have low density, good plasticity, excellent electrical conductivity and corrosion resistance, and are therefore widely used in aerospace, aviation, transportation, construction, electromechanical and light chemical industries.
[0003] In production, the angle rolling process of aluminum alloy sheet involves rotating the aluminum alloy workpiece in a horizontal plane before rolling it. The angle rolling process can be divided into three stages: start, reversal, and end. The angle of the aluminum alloy workpiece is rotated through the "reversal stage" to control the width of the processed aluminum alloy workpiece and make it meet the expected standards.
[0004] However, when inspecting the aluminum alloy sheet after angle rolling, it was found that the uniformity of the thickness distribution of the deformation zone on both sides of the rolling center line was low, resulting in insufficient quality of the sheet after angle rolling, low rolling forming rate, and poor mechanical properties. Summary of the Invention
[0005] To address the shortcomings of related technologies, this application provides a method and system for controlling the thickness distribution during the angle rolling process of aluminum alloy sheets. The method uses multiple calculation steps and control feedback steps to cyclically simulate the angle rolling process. Based on the simulation results, the angle rolling input data is continuously optimized and adjusted to ensure that the optimal input data can be used in the actual angle rolling process to obtain the expected angle-rolled sheet.
[0006] On the one hand, this application provides a method for controlling the thickness distribution during the angle rolling process of aluminum alloy sheets, including: In the matching step, the first workpiece data, the work roll data, and the corresponding expected result data are input into a database. The database retrieves and outputs historical result data based on the first workpiece data and the work roll data. It is determined whether the historical result data matches the expected result data. If they match, the historical result data is directly output as the rolling thickness result data. Otherwise, the multi-pass calculation step is entered. The multi-pass calculation steps involve establishing an angular rolling coordinate system based on the first rolled piece data, performing a geometric rotation transformation on the first rolled piece data based on a first angle in the angular rolling coordinate system to construct a first rolling force calculation model, inputting rolling process data into the first rolling force calculation model to obtain second rolled piece data, performing a geometric rotation transformation on the second rolled piece data based on a second angle in the angular rolling coordinate system to construct a second rolling force calculation model, and inputting the rolling process data into the second rolling force calculation model to obtain third rolled piece data, wherein the third rolled piece data includes thickness distribution data and plate shape results. Control feedback step: Determine whether the third rolled piece data matches the expected result data. If yes, output the third rolled piece data as the rolling thickness result data, and store the rolling thickness result data and its corresponding input data into the database. Otherwise, adjust the first angle, the second angle, and the rolling process data and return to the multi-pass calculation step for recalculation.
[0007] In some embodiments, the multi-pass calculation step further includes: The coordinate system establishment step involves setting an X-axis and a Y-axis based on the length and width directions of the rolled piece in the first rolled piece data, respectively. The intersection of the X-axis and the Y-axis is set as the origin of the coordinate system. The angular rolling coordinate system is established by setting the origin of the coordinate system to coincide with the intersection of the two diagonals of the rolled piece.
[0008] In some embodiments, the multi-pass calculation step further includes: In the first pass calculation step, the first workpiece data is rotated forward by a first angle based on the angular rolling coordinate system, and the first workpiece data and work roll data are divided and discretized into units according to the influence function method, thereby constructing a first rolling force calculation model. The rolling process data is input into the first rolling force calculation model for calculation, and the first workpiece data is adjusted based on the calculation results output by the first rolling force calculation model to obtain the second workpiece data.
[0009] In some embodiments, the multi-pass calculation step further includes: In the second pass calculation step, the second workpiece data is rotated in the opposite direction by a second angle based on the angular rolling coordinate system, and the second workpiece data and work roll data are divided and discretized into units according to the influence function method, thereby constructing a second rolling force calculation model. The rolling process data is input into the second rolling force calculation model for calculation, and the second workpiece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third workpiece data.
[0010] In some embodiments, the control feedback step further includes: The judgment step determines whether the data of the third rolled piece matches the expected result data. If yes, the data storage step is initiated; otherwise, the thickness control step is initiated. The data storage step involves matching the third rolled piece data with the expected result data, outputting the third rolled piece data as the rolling thickness result data, and simultaneously storing the third rolled piece data, the first angle, the second angle, the first rolled piece data, the work roll data, and the rolling process data into the database. In the thickness control step, based on the mismatch between the third rolled piece data and the expected result data, the first angle, the second angle, and the rolling process data are adjusted and then input into the multi-pass calculation step for recalculation.
[0011] On the other hand, this application also provides a thickness distribution control system for the angle rolling process of aluminum alloy sheets, including: The matching module is used to input the first rolled piece data, the work roll data and the corresponding expected result data into a database. The database retrieves and outputs historical result data based on the first rolled piece data and the work roll data, and determines whether the historical result data matches the expected result data. If they match, the historical result data is directly output as the rolling thickness result data. Otherwise, the calculation is performed in the multi-pass calculation module. The multi-pass calculation module establishes an angular rolling coordinate system based on the first rolled piece data. Within this angular rolling coordinate system, a geometric rotation transformation is performed on the first rolled piece data based on a first angle to construct a first rolling force calculation model. Rolling process data is input into the first rolling force calculation model to obtain second rolled piece data. Within the angular rolling coordinate system, a geometric rotation transformation is performed on the second rolled piece data based on a second angle to construct a second rolling force calculation model. The rolling process data is then input into the second rolling force calculation model to obtain third rolled piece data, which includes thickness distribution data and plate shape results. The control feedback module is used to determine whether the third rolled piece data matches the expected result data. If so, the third rolled piece data is output as the rolling thickness result data, and the rolling thickness result data and its corresponding input data are stored in the database. Otherwise, the first angle, the second angle, and the rolling process data are adjusted and the calculation is returned to the multi-pass calculation module for recalculation.
[0012] In some embodiments, the multi-channel calculation module further includes: The coordinate system establishment unit sets the X-axis and Y-axis based on the length and width directions of the rolled piece in the first rolled piece data, respectively. The intersection of the X-axis and the Y-axis is set as the coordinate origin. The angular rolling coordinate system is established by setting the coordinate origin to coincide with the intersection of the two diagonals of the rolled piece.
[0013] In some embodiments, the multi-channel calculation module further includes: The first pass calculation unit rotates the first workpiece data forward by a first angle based on the angular rolling coordinate system, and divides and discretizes the first workpiece data and work roll data into units according to the influence function method, thereby constructing a first rolling force calculation model. The rolling process data is input into the first rolling force calculation model for calculation, and the first workpiece data is adjusted based on the calculation results output by the first rolling force calculation model to obtain the second workpiece data.
[0014] In some embodiments, the multi-channel calculation module further includes: The second pass calculation unit rotates the second workpiece data in the opposite direction by a second angle based on the angular rolling coordinate system, and divides and discretizes the second workpiece data and work roll data into units according to the influence function method, thereby constructing a second rolling force calculation model. The rolling process data is input into the second rolling force calculation model for calculation, and the second workpiece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third workpiece data.
[0015] In some embodiments, the control feedback module further includes: The judgment unit determines whether the third rolled piece data matches the expected result data. If yes, it enters the data storage unit; otherwise, it enters the thickness control unit. The data storage unit, based on the matching of the third rolled piece data with the expected result data, outputs the third rolled piece data as the rolling thickness result data, and simultaneously stores the third rolled piece data, the first angle, the second angle, the first rolled piece data, the work roll data, and the rolling process data into the database; The thickness control unit, based on the mismatch between the third rolled piece data and the expected result data, adjusts the first angle, the second angle, and the rolling process data and then inputs them into the multi-pass calculation unit for recalculation.
[0016] In summary, this application provides a method and system for controlling the thickness distribution during the angle rolling process of aluminum alloy sheets. It uses multiple calculation steps and control feedback steps to cyclically simulate the angle rolling process, continuously optimizing and adjusting the angle rolling input data based on the simulation results. This ensures that the optimal input data can be used in the actual angle rolling process to obtain the expected angle-rolled sheet material. A standardized angle rolling coordinate system setting ensures the consistency of geometric rotation and modeling operations in mathematical definitions, avoiding calculation errors caused by coordinate confusion. The combination of angle transformation and influence function modeling allows for a more realistic simulation of the stress and deformation behavior of the rolled piece in space during the rolling process. Through element... The partitioning and discretization operations improve modeling accuracy, making the mechanical model closer to the actual rolling process. By setting a second angle rotation in the opposite direction to the first angle, the deformation path of the raw material under multi-directional stress can be further optimized, effectively alleviating the asymmetric stress and thickness deviation problems caused by unidirectional rolling. The data storage step enables the system to have self-learning and experience data accumulation capabilities, improving the success rate of the next matching and shortening the rolling parameter configuration time. The thickness control step supports rapid closed-loop optimization. Based on the preset parameter optimization logic, complex parameter linkage adjustments can be completed without manual intervention, significantly improving rolling accuracy and control efficiency.
[0017] Other features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims, and drawings. Attached Figure Description
[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This is the overall flow chart of the thickness distribution control method for the angle rolling process of aluminum alloy sheet in this application; Figure 2 This is a flowchart of the multi-pass calculation steps for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 3 This is a flowchart illustrating the operation of the thickness distribution control method for the angle rolling process of aluminum alloy sheets in this application. Figure 4 This is a schematic diagram of the unit division and numbering arrangement for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 5 A schematic diagram of the first angle rolling model constructed for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 6A schematic diagram of the second angle rolling model constructed for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 7 This is a flowchart illustrating the calculation process for the thickness distribution control method in the angle rolling process of aluminum alloy sheets according to this application. Figure 8 This is a schematic diagram of the first thickness distribution of the aluminum alloy sheet thickness distribution control method in the angle rolling process of this application; Figure 9 This is a schematic diagram of the second thickness distribution of the aluminum alloy sheet angle rolling process thickness distribution control method of this application; Figure 10 This is an example diagram showing the input data for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 11 This is a schematic diagram of the sheet shape before angle rolling in the aluminum alloy sheet angle rolling process thickness distribution control method of this application; Figure 12 This is a schematic diagram of the plate shape after angle rolling in the aluminum alloy sheet angle rolling process of this application; Figure 13 This is the first comparison chart between the rolling thickness result data output by the thickness distribution control method for the angle rolling process of aluminum alloy sheet in this application and the measured value; Figure 14 This is a second comparison chart of the rolling thickness result data output by the thickness distribution control method for the angle rolling process of aluminum alloy sheet in this application and the measured value. Detailed Implementation
[0019] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.
[0020] In the description of this application, it should be understood that the terms "center", "lateral", "longitudinal", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0021] The terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include one or more of that feature.
[0022] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Specific Implementation Example 1 Reference Appendix Figures 1 to 14 , Figure 1 This is the overall flow chart of the thickness distribution control method for the angle rolling process of aluminum alloy sheet in this application; Figure 2 This is a flowchart of the multi-pass calculation steps for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 3 This is a flowchart illustrating the operation of the thickness distribution control method for the angle rolling process of aluminum alloy sheets in this application. Figure 4 This is a schematic diagram of the unit division and numbering arrangement for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 5 A schematic diagram of the first angle rolling model constructed for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 6 A schematic diagram of the second angle rolling model constructed for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 7 This is a flowchart illustrating the calculation process for the thickness distribution control method in the angle rolling process of aluminum alloy sheets according to this application. Figure 8 This is a schematic diagram of the first thickness distribution of the aluminum alloy sheet thickness distribution control method in the angle rolling process of this application; Figure 9 This is a schematic diagram of the second thickness distribution of the aluminum alloy sheet angle rolling process thickness distribution control method of this application; Figure 10 This is an example diagram showing the input data for the thickness distribution control method of aluminum alloy sheet angle rolling process in this application; Figure 11 This is a schematic diagram of the sheet shape before angle rolling in the aluminum alloy sheet angle rolling process thickness distribution control method of this application; Figure 12 This is a schematic diagram of the plate shape after angle rolling in the aluminum alloy sheet angle rolling process of this application; Figure 13 This is the first comparison chart between the rolling thickness result data output by the thickness distribution control method for the angle rolling process of aluminum alloy sheet in this application and the measured value; Figure 14 This is a second comparison chart of the rolling thickness result data output by the aluminum alloy sheet angle rolling process thickness distribution control method of this application and the measured value; the specific embodiments are described below with reference to the above figures.
[0024] Reference Appendix Figure 1 This application provides a method for controlling the thickness distribution during the angle rolling process of aluminum alloy sheet, including a matching step S1, a multi-pass calculation step S2, and a control feedback step S3.
[0025] In the matching step S1, the first rolling mill data, the work roll data, and the corresponding expected result data are input into a database. The database retrieves and outputs historical result data based on the first rolling mill data and the work roll data. It is determined whether the historical result data matches the expected result data. If they do, the historical result data is directly output as the rolling thickness result data. Otherwise, the multi-pass calculation step S2 is entered. In the multi-pass calculation step S2, an angular rolling coordinate system is established based on the first rolled piece data. In the angular rolling coordinate system, the first rolled piece data is geometrically rotated and transformed based on a first angle to construct a first rolling force calculation model. The second rolled piece data is obtained by inputting the rolling process data into the first rolling force calculation model. The second rolled piece data is then geometrically rotated and transformed based on a second angle in the angular rolling coordinate system to construct a second rolling force calculation model. Finally, the third rolled piece data is obtained by inputting the rolling process data into the second rolling force calculation model. The third rolled piece data includes thickness distribution data and plate shape results. In the control feedback step S3, it is determined whether the data of the third rolled piece matches the expected result data. If so, the data of the third rolled piece is output as the rolling thickness result data, and the rolling thickness result data and its corresponding input data are stored in the database. Otherwise, the first angle, the second angle and the rolling process data are adjusted and the multi-pass calculation step S2 is returned for recalculation.
[0026] Specifically, based on the matching step S1, historical result data is searched in a database based on the input first rolled piece data and work roll data. It is determined whether the historical result data matches the input expected result data, which is used to quickly obtain the verified rolling thickness distribution results and improve prediction efficiency.
[0027] Among them, reference Figure 10 The first rolling mill data includes the material of the rolling mill raw material, the initial thickness of the rolling mill raw material, the initial width of the rolling mill raw material, the initial length of the rolling mill raw material, deformation resistance and other attribute data; the work roll data includes the work roll length, radius and rolling speed and other equipment parameters; the historical result data includes the previously input first rolling mill data, work roll data and the corresponding output rolling thickness distribution results.
[0028] It should be noted that when matching the input first rolling mill data and work roll data, if the corresponding rolling thickness distribution in the historical result data is equal to or within the preset data range of the expected result data, the matching is considered successful.
[0029] The expected result data includes thickness distribution data, plate shape results, etc. When the rolling thickness distribution results are matched with the expected result data, the matching of thickness distribution data and / or plate shape result parameters is carried out to achieve multi-target comparison and improve matching efficiency.
[0030] Since the expected result data is human-expected data, there may be cases where a part of the rolling thickness distribution data is similar to the expected result data, and the match is considered successful. Therefore, the matching step S1 can greatly improve the prediction efficiency.
[0031] When ideal historical result data cannot be matched, the first rolled piece data is used as the basis. After setting the angle rolling coordinate system, the first rolled piece data is rotated and geometrically transformed by the first angle to construct the first rolling force calculation model. The rolling process parameters are input into the first rolling force calculation model to obtain the second rolled piece data.
[0032] Subsequently, based on the second angle, a rotational geometric transformation is performed on the second rolled piece data to construct a second rolling force model. The rolling process parameters are input into the second rolling force calculation model, and the output is the third rolled piece data, which includes thickness distribution data and plate shape results.
[0033] The multi-pass calculation step S2 is essentially a simulation of the angle rolling process. The simulation process includes: the first rotation of the workpiece in the angle rolling coordinate system, the first rolling, the second rotation of the workpiece in the angle rolling coordinate system after the first rolling, and the second rolling.
[0034] The second rolling data includes the coordinate position of the raw material in the angular rolling coordinate system after the first rotation, the shape of the rolling sheet after the first rolling, and the thickness distribution data of the rolling sheet after the first rolling.
[0035] The third rolling data includes the coordinate position of the raw material in the angular rolling coordinate system after the second rotation, the shape of the rolled piece after the second rolling, and the thickness distribution data of the rolled piece after the second rolling.
[0036] It should be noted that the rolling process parameters include processing data such as reduction amount and rolling force. The rolling process parameters, the first angle, and the second angle should be flexibly adjusted according to the actual rolling target and material response characteristics. In some embodiments, the first angle and the second angle are opposite in direction and the ratio of the two is 1 to 2.
[0037] Based on the control feedback step S3, it is used to determine whether the third rolled piece data matches the expected result data. If they match, the third rolled piece data is output, and the third rolled piece data and its corresponding input data are stored in the database as new historical result data for reference next time. Otherwise, the rolling process parameters, the first angle and the second angle are readjusted to repeat the calculation.
[0038] refer to Figure 2 , Figure 5 , Figure 6 In some embodiments, the multi-pass calculation step S2 further includes a coordinate system establishment step S21, which sets the X-axis and Y-axis based on the length and width directions of the rolling piece in the first rolling piece data, and sets the intersection of the X-axis and Y-axis as the coordinate origin O. The corner rolling coordinate system XOY is established by setting the coordinate origin to coincide with the intersection of the two diagonals of the rolling piece.
[0039] Specifically, firstly, the geometric information about the raw material of the first rolled piece is extracted from the data of the first rolled piece. The length and width directions of the raw material of the rolled piece are determined and set as the X-axis and Y-axis respectively, so that the two axes intersect perpendicularly in space, and the intersection point is used as the origin of the coordinate system. Then, based on the information of the two diagonals in the data of the first rolled piece, the origin of the coordinate system is aligned with the intersection point of the two diagonals of the rolled piece graphic, thereby realizing the construction of the angle rolling coordinate system.
[0040] The angular rolling coordinate system provides a unified reference for changes in the workpiece's posture, giving subsequent rotational transformations based on the first and second angles a clear coordinate basis and providing a basic framework for multi-pass geometric transformations and mechanical modeling.
[0041] By establishing a standardized angular coordinate system, consistency in the mathematical definitions of geometric rotation and modeling operations is ensured, avoiding calculation errors caused by coordinate confusion. Furthermore, the angular coordinate system possesses excellent adaptability and scalability, facilitating the handling of aluminum alloy sheets of various sizes, proportions, and shapes, thus improving the versatility and stability of the control method.
[0042] refer to Figures 2 to 5 In some embodiments, the multi-pass calculation step S2 further includes a first-pass calculation step S22, which involves rotating the first workpiece data forward by a first angle based on the angular rolling coordinate system, and dividing and discretizing the first workpiece data and work roll data into units according to the influence function method, thereby constructing a first rolling force calculation model. The rolling process data is input into the first rolling force calculation model for calculation, and the first workpiece data is adjusted based on the calculation results output by the first rolling force calculation model to obtain the second workpiece data.
[0043] For details, please refer to Figure 5 After establishing the XOY coordinate system for angle rolling, the data of the first rolled piece is rotated by a first angle θ1 around the origin O in the positive direction, thereby forming the initial model of the rotating state, namely the first angle rolling model.
[0044] Subsequently, reference Figure 4Based on the geometric information data in the work roll data, the influence function method is used to divide the work roll body into multiple discrete units; or, based on the geometric information data in the workpiece raw material and work roll data, the influence function method is used to divide the workpiece raw material and work roll into multiple symmetrical discrete units respectively, so as to realize the fine modeling of the material deformation zone.
[0045] A first rolling force calculation model is established based on the discretization results. By inputting rolling process parameters, including reduction, rolling speed, and friction coefficient, into the first rolling force calculation model, simulation calculations are performed to obtain the preliminary rolling force distribution and deformation response.
[0046] Finally, based on the output of the model, the deformation in the first rolled piece data is corrected to form the second rolled piece data, which serves as the basis for the next calculation.
[0047] By combining angle transformation with influence function modeling, the stress and deformation behavior of the workpiece in space during the rolling process can be simulated more realistically. Through element division and discretization operations, the modeling accuracy is improved, making the mechanical model closer to the actual rolling process.
[0048] refer to Figures 2 to 6 In some embodiments, the multi-pass calculation step S2 further includes a second-pass calculation step S23, which involves rotating the second workpiece data in reverse by a second angle based on the angular rolling coordinate system, and dividing and discretizing the second workpiece data and work roll data into units according to the influence function method, thereby constructing a second rolling force calculation model. The rolling process data is input into the second rolling force calculation model for calculation, and the second workpiece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third workpiece data.
[0049] Specifically, the second pass calculation step S23 adds a second pass calculation based on the first pass calculation step S22 to achieve multi-angle rolling control in the angle rolling process.
[0050] In the second calculation step S23, the second workpiece data, which has been simulated and adjusted once, is introduced back into the angle rolling coordinate system XOY, and rotated in the opposite direction around the origin O by a second angle θ2 to construct the second angle rolling model. The second angle is opposite to the first angle and is greater than the first angle, simulating the superimposed effect of the rotation angle change on the workpiece deformation during the actual rolling process.
[0051] Next, the influence function method is used to divide and discretize the second rolling mill data and the corresponding work roll data into units, thereby constructing a second rolling force calculation model that conforms to the current deformation state of the raw material of the rolling mill.
[0052] The rolling process parameters are re-entered into the second rolling force calculation model for calculation, and the second rolled piece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third rolled piece data.
[0053] Finally, the output of the third rolled piece data includes thickness distribution data and plate shape results, which are used to reflect the thickness changes of the raw material and the overall plate shape changes, and the third rolled piece data is used as a reference for judging whether the expected results are met.
[0054] By setting a second angle rotation in the opposite direction to the first angle, the deformation path of the rolled material under multi-directional stress can be further optimized, effectively alleviating the asymmetric stress and thickness deviation problems caused by unidirectional rolling. By combining dual-angle rotation with multiple mechanical modeling, the complex rolling process can be simulated more comprehensively, significantly improving the accuracy and flexibility of thickness distribution control.
[0055] In some embodiments, the control feedback step S3 further includes a judgment step S31, which determines whether the third rolled piece data matches the expected result data. If yes, the data storage step S32 is entered; otherwise, the thickness control step S33 is entered.
[0056] In data storage step S32, based on the matching of the third rolled piece data and the expected result data, the third rolled piece data is output as the rolling thickness result data, and the third rolled piece data, the first angle, the second angle, the first rolled piece data, the work roll data, and the rolling process data are stored in the database.
[0057] In thickness control step S33, based on the mismatch between the third rolled piece data and the expected result data, the first angle, second angle, and rolling process data are adjusted and then entered into multi-pass calculation step S2 for recalculation.
[0058] Specifically, the data of the third rolled piece is first compared and matched with the expected result data.
[0059] The expected result data includes thickness distribution data, plate shape results, etc. When the third rolled piece data is matched with the expected result data, it includes thickness distribution data matching and / or plate shape result parameter matching to achieve multi-target comparison and improve matching efficiency.
[0060] Since the expected result data is based on human expectations, there are cases where a portion of the data in the third rolled piece is similar to the expected result data, and the match is considered successful.
[0061] If the judgment result is a match, it means that the current combination of process parameters meets the preset technical requirements. At this time, the data of the third rolled piece is directly output as the final rolling thickness result data, and all key input parameters and the data of the third rolled piece are stored in the database to form new historical result data, providing a wider range of matching options for subsequent rolling tasks. Key input parameters include the first angle, the second angle, the data of the first rolled piece, the work roll data, and the rolling process data.
[0062] Conversely, if the judgment result is a mismatch, the first angle, the second angle, and the rolling process data are adjusted based on the feedback difference, and the multi-pass calculation step S2 is re-entered to continuously iterate and optimize the first angle, the second angle, and the rolling process data until the target thickness distribution is achieved, or until the target number of iterations is completed.
[0063] It should be noted that achieving the target thickness distribution means that the data of the third rolled piece matches the expected result data, at which point the iteration can be stopped.
[0064] The target number of iterations refers to a preset target number of iterations. During this period, the iteration will not stop regardless of whether the third rolling piece data matches the expected result data. After the iteration is completed, the multiple sets of third rolling piece data generated by the multiple iterations will be sorted out. The system or operator will then select the third rolling piece data for actual application and store it in the database according to the settings or requirements.
[0065] refer to Figure 3 In some embodiments, based on the unchanged rolling process data, the numerical ratio of the first angle to the second angle is 1:2, and the first angle and the second angle are used to rotate the raw material of the rolled piece in opposite directions; when the value of the first angle is iteratively optimized, the value of the second angle is changed accordingly, until the iteration stops when the first angle is greater than 90°.
[0066] Specifically, the first angle and the second angle represent the rolling angles of the first and second passes, respectively. The first angle is smaller and is used for initial shaping to form the basic deformation framework. The second angle is larger and is used to reverse the non-uniform deformation formed after the first rolling, so that the thickness distribution of the raw material of the rolled piece approaches the desired thickness distribution after the second rolling.
[0067] The first and second angles are used to rotate the raw material of the rolled piece in opposite directions to create a symmetrical offsetting effect at the geometric and mechanical levels, control the shape deviation, and achieve a more balanced thickness distribution.
[0068] Furthermore, in the two-dimensional angular rolling coordinate system, during the process of iterating the first angle to greater than 90°, any part of the raw material of the rolled piece is essentially rotated from at least one quadrant of the angular rolling coordinate system to another quadrant, and further deformation makes it difficult to maintain an effective correspondence with the original geometric structure.
[0069] Therefore, if no matching solution is found when the first angle is greater than 90° during iteration, it means that the target thickness cannot be achieved within the current rolling process window, and the rolling process data or other relevant parameters should be adjusted.
[0070] It should be noted that rolling process data includes data such as reduction amount and rolling force, and adjusting rolling process data includes adjusting reduction amount and rolling force.
[0071] Therefore, although the rolling process data used in the first pass calculation step S22 and the second pass calculation step S23 are the same when the multi-pass calculation step S2 is executed for the first time.
[0072] However, when the thickness control step S33 adjusts the first angle, second angle, and rolling process data based on the mismatch between the third rolled piece data and the expected result data, and then recalculates them in the multi-pass calculation step S2, there is a situation where the rolling process data used in the first pass calculation step S22 and the second pass calculation step S23 are different. The purpose is to make the third triangular rolling data output by the multi-pass calculation step S2 close to the expected result data to achieve a match.
[0073] refer to Figure 8 and Figure 9 ,in Figure 8 The display shows the thickness distribution data of the first rolled piece after the first pass of angle rolling based on a 2mm reduction, and the rotation method is a forward rotation of 20°.
[0074] Figure 9 The display shows the thickness distribution data of the first rolled piece after the first pass of angle rolling, based on a 2mm reduction, after the second pass of angle rolling, and the rotation method is a 40° counterclockwise rotation.
[0075] refer to Figure 8 and Figure 9 With the thickness distribution data remaining constant, the first angle is 20° and the second angle is 40°. Based on the numerical ratio of 1:2 between the first and second angles, although the thickness distribution is uneven after the first pass of angle rolling, the uniformity of the thickness distribution is greatly improved after the second pass of angle rolling.
[0076] The thickness distribution control method for the angle rolling process of aluminum alloy sheet described in this application is used to simulate a two-pass angle rolling process as follows: refer to Figure 5 and Figure 6 Based on the data of the first rolled piece, the intersection of the two diagonals of the rolled piece is set as the origin O, the rolling center line is the Y-axis, and the X-axis of the rolled piece is perpendicular to the rolling center line in the coordinate system, thus establishing the angle rolling coordinate system XOY.
[0077] refer to Figure 4The influence function method is used to divide and number the roll units, including two methods: one is to divide the work roll body into sections from left to right along the width of the workpiece. Units.
[0078] Another approach is to divide the contact surface between the work roll and the workpiece into left and right sides along the rolling centerline, and then discretize the units to arrange them symmetrically. and These represent the number of contact units of the work rolls on the left and right sides of the rolling centerline, respectively; the workpiece is also discretized with the same unit width. and These represent the number of units that contact the work roll on the left and right sides of the rolling centerline, respectively.
[0079] refer to Figure 5 Establish the first-angle rolling model, where ABCD are the coordinates of the four corner points of the workpiece, represented as: A B C D .
[0080] Where L is the length of the workpiece before rolling, in mm; and D is the width of the workpiece before rolling, in mm.
[0081] refer to Figure 5 and Figure 7 After the workpiece is rotated based on the first angle, the length in the rolling direction is expressed by Formula 1:
[0082] The rolled piece is divided into two parts along the x-axis, and each part is further divided into 30 segments along the rolling direction. Therefore, the value of the dimension y of each segment is calculated and expressed as Formula 2:
[0083] In Formula 2 above, i is the sequence number of each segment of the rolled piece, and the value of i ranges from 1 to 60.
[0084] Divide the width of each segment of the rolled piece into left and right sides along the rolling centerline. Based on the dimensions and positions of each slice along the length direction, calculate the width of the left side of the rolled piece's centerline using geometric equations, expressed as Formula 3: The width to the right of the centerline of the rolled piece, calculated using geometric equations, is expressed as Formula 4:
[0085] The total width of each segment of the rolled piece, calculated using geometric equations, is expressed as Formula 5:
[0086]
[0087] In formulas 3, 4, and 5 above, Total width of each segment, in mm; , These are the widths on the left and right sides of the center line of the rolled piece, respectively, in mm; , These are the lengths of the y-coordinates of the points where A'D' and B'C' intersect the y-axis, respectively, in mm.
[0088] refer to Figure 6 The position of the rolled piece before rotation in the second pass can be calculated using formulas 1 to 5 above, and the four vertices can be obtained. The coordinates of the workpiece can be used to obtain the counterclockwise rotation of the workpiece using the rotation formula. The last four vertices Based on the coordinates, establish the second-angle rolling model. The position of the workpiece before the second rolling pass is represented as:
[0089] Compare the y-coordinates of the four points , , , The size of the value is used to assign the maximum value of the ordinate. Its corresponding x-coordinate is assigned The second maximum value of the ordinate is assigned Its corresponding x-coordinate is assigned Since the rolled piece exhibits an antisymmetric distribution along the x-axis during angle rolling, the coordinates of the four points can be redefined as follows:
[0090] The total length of the rolled piece along the rolling direction after rotation at the second angle is expressed as:
[0091] The rotated workpiece is divided into 2n segments along the rolling direction, and the ordinate of the center line of each segment is represented as:
[0092] Based on the rolled piece after rotation at the second angle, the width of each segment of the rolled piece is different along the rolling direction, and it is no longer symmetrical along the rolling centerline. The width of each segment of the rolled piece is expressed as follows:
[0093] in, The total width of each section of the second-pass rolled piece, in mm; , These are the widths on the left and right sides of the center line of each section of the second pass rolling mill, respectively, in mm.
[0094] like and When the same number is used, the width to the left of the rolling center line of each section of the second pass is expressed as in Formula 6:
[0095] like and When the same number is used, the width to the right of the rolling center line of each section of the second pass is expressed as in Formula 7:
[0096] like and When the numbers are different, the width to the left of the rolling center line of each section of the second pass is expressed as in Formula 8:
[0097] like and When the numbers are different, the width to the right of the rolling center line of each section of the second pass is expressed as in Formula 9:
[0098] Substituting the first angle, the second angle, and the rolling process data into the angle rolling process simulated by formulas 1 to 10 above, the third rolled piece data is finally obtained. The third rolled piece data includes the width to the left and right of the center line of each rolled piece after two passes of angle rolling, as well as the total width of each rolled piece. That is, the third rolled piece data includes thickness distribution data and plate shape results.
[0099] In the actual angle rolling process, refer to Figure 11 First, draw the intersection of the two diagonals on the workpiece, establish the coordinate system of the workpiece with the intersection as the center, then draw the coordinate system and measure the rotation angle on the feeding table of the rolling equipment, and then carry out the angle rolling experiment.
[0100] In some embodiments, the reduction per pass is set to 2 mm, and the rolling force of the rolls is set to 50 kN. The angles are set to 20° for the first pass and 40° for the second pass.
[0101] After two angle rolling processes are completed, refer to Figure 12 To facilitate the study of the thickness distribution of the rolled piece, it was divided into five segments. Five cross-sections of the rolled piece were then cut on a wire cutting machine. The thickness distribution at the exit of the plate was measured with a micrometer. Finally, the measured values were extracted and organized to obtain the measured thickness distribution data and the measured plate shape results.
[0102] The thickness distribution control method for aluminum alloy sheet angle rolling process of this application outputs simulated rolling thickness data, which are compared and verified with measured thickness distribution data.
[0103] refer to Figure 13 and Figure 14 , Figure 13 This displays a comparison of simulated and measured thickness distribution data along the positive Y-axis. Figure 14 The display shows a comparison of the simulated and measured thickness distribution data in the negative Y-axis direction. The simulated and measured thickness distribution data are similar, so the thickness distribution law in the width direction of the rolled piece obtained by simulation is basically consistent with the measured thickness distribution law, and has reference value. Specific Implementation Example 2 This application also provides a thickness distribution control system for the angle rolling process of aluminum alloy sheet, used to implement the thickness distribution control method for the angle rolling process of aluminum alloy sheet in the above-described specific embodiment.
[0105] The thickness distribution control system for the angle rolling process of aluminum alloy sheets includes a matching module, a multi-pass calculation module, and a control feedback module.
[0106] The matching module is used to input the first rolling mill data, the work roll data, and the corresponding expected result data into a database. The database retrieves and outputs historical result data based on the first rolling mill data and the work roll data, and determines whether the historical result data matches the expected result data. If they match, the historical result data is directly output as the rolling thickness result data; otherwise, it enters the multi-pass calculation module for calculation.
[0107] The multi-pass calculation module establishes an angular rolling coordinate system based on the first rolled piece data. In the angular rolling coordinate system, the first rolled piece data is geometrically rotated and transformed based on a first angle to construct a first rolling force calculation model. The second rolled piece data is obtained by inputting the rolling process data into the first rolling force calculation model. The second rolled piece data is geometrically rotated and transformed based on a second angle in the angular rolling coordinate system to construct a second rolling force calculation model. The third rolled piece data is obtained by inputting the rolling process data into the second rolling force calculation model. The third rolled piece data includes thickness distribution data and plate shape results.
[0108] The control feedback module is used to determine whether the data of the third rolled piece matches the expected result data. If so, the data of the third rolled piece is output as the rolling thickness result data, and the rolling thickness result data and its corresponding input data are stored in the database. Otherwise, the first angle, the second angle and the rolling process data are adjusted and the data is returned to the multi-pass calculation module for recalculation.
[0109] Specifically, the matching module is responsible for the data pre-inspection logic. It compares the input first rolling mill data, work roll data, and expected results with the data in the historical database. If there is a matching case, the rolling result is retrieved directly to reduce redundant modeling. If there is no matching result, the multi-pass calculation module is entered for fine modeling.
[0110] The multi-pass calculation module first constructs an angular rolling coordinate system based on the first piece data. Then, it performs forward and reverse geometric rotations on the piece data at the first and second angles, respectively. Rolling force calculation models are established at the two different angles, and rolling process data is input for simulation to obtain the third piece data, thus forming a complete rolling thickness prediction and shape control process.
[0111] The control feedback module evaluates and judges the third rolled piece data and the target expected data. If they match, it outputs the results and archives all relevant parameters to the database to enrich the historical data sample. If they do not match, it automatically adjusts the input parameters: the first angle, the second angle, and the rolling process data; and re-enters the modeling and calculation process until the matching requirements are met or the set optimization boundary conditions are reached.
[0112] Among them, the matching module enables rapid reuse of experience data, reducing the cost of repetitive calculations; the multi-pass calculation module improves the accuracy of thickness prediction, adapting to complex rolling conditions; and the control feedback module enables adaptive parameter optimization, enhancing the intelligence level of the control system.
[0113] The matching module, multi-pass calculation module, and control feedback module work together to enable the overall system architecture to have high reliability, automation, and real-time performance, making it suitable for the fine control of thickness distribution in complex sheet rolling processes.
[0114] In some embodiments, the multi-pass calculation module further includes a coordinate system establishment unit, which sets the X-axis and Y-axis based on the length direction and width direction of the rolling piece in the first rolling piece data, respectively, and sets the intersection of the X-axis and Y-axis as the coordinate origin. The corner rolling coordinate system is established by setting the coordinate origin to coincide with the intersection of the two diagonals of the rolling piece.
[0115] Specifically, establishing an angle rolling coordinate system through coordinate system establishment units can significantly improve the standardization and repeatability of the entire rolling modeling process.
[0116] The angular rolling coordinate system closely matches the actual geometry of the raw material, which helps ensure coordinate consistency and reduce the risk of error propagation during processes such as rotation, discrete modeling, and rolling force calculation.
[0117] In some embodiments, the multi-pass calculation module further includes a first-pass calculation unit, which rotates the first workpiece data forward by a first angle based on the angular rolling coordinate system, and divides and discretizes the first workpiece data and work roll data into units according to the influence function method, thereby constructing a first rolling force calculation model. The rolling process data is input into the first rolling force calculation model for calculation, and the first workpiece data is adjusted based on the calculation results output by the first rolling force calculation model to obtain the second workpiece data.
[0118] Specifically, the first pass of the computational unit not only achieves the integration of geometric transformation and mechanical modeling based on rotation angle, but also improves the accuracy and detail control of the modeling through unit division.
[0119] The first-pass calculation unit helps to quickly determine the impact of rolling process combinations on sheet deformation in the early stages of rolling, providing a high-precision, iterative basis for thickness control. Among them, the use of the influence function method gives the model the advantages of fast calculation and clear mechanical response, making it suitable for high-frequency parameter optimization calculations in industrial environments.
[0120] In some embodiments, the multi-pass calculation module further includes a second-pass calculation unit, which rotates the second workpiece data in the opposite direction by a second angle based on the angular rolling coordinate system, and divides and discretizes the second workpiece data and work roll data into units according to the influence function method, thereby constructing a second rolling force calculation model. The rolling process data is input into the second rolling force calculation model for calculation, and the second workpiece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third workpiece data.
[0121] Specifically, the first pass of the angle rolling mill performs preliminary shaping, while the second pass is responsible for precise correction. The opposite rotation direction of the two passes is used to reduce the risk of stress concentration, improve the uniformity of material distribution, and effectively enhance the flatness of the rolled piece.
[0122] The influence function method is used again in the second pass calculation unit to ensure that the modeling accuracy and computational efficiency of the second pass are balanced. It is suitable for online calculation and adaptive control in dynamic process environments, thus providing a technical basis for achieving continuous and accurate rolling thickness control.
[0123] In some embodiments, the control feedback module further includes a judgment unit, a data storage unit, and a thickness control unit.
[0124] The judgment unit is used to determine whether the data of the third rolled piece matches the expected result data. If yes, it enters the data storage unit; otherwise, it enters the thickness control unit.
[0125] The data storage unit matches the third rolled piece data with the expected result data, outputs the third rolled piece data as the rolling thickness result data, and simultaneously stores the third rolled piece data, the first angle, the second angle, the first rolled piece data, the work roll data, and the rolling process data into the database.
[0126] The thickness control unit adjusts the first angle, second angle, and rolling process data based on the mismatch between the third rolled piece data and the expected result data, and then recalculates them in the multi-pass calculation unit.
[0127] Specifically, by coordinating the roles of the judgment unit, data storage unit, and thickness control unit, the modularization and automation of the control feedback logic are achieved.
[0128] The judgment unit is used for preliminary judgment; the data storage unit enables the system to have self-learning and experience data accumulation capabilities, improving the success rate of the next matching and shortening the rolling parameter configuration time; the thickness control unit supports rapid closed-loop optimization, and based on preset parameter optimization logic, it can complete complex parameter linkage adjustment without manual intervention, significantly improving rolling accuracy and control efficiency.
[0129] This application provides a method and system for controlling the thickness distribution during the angle rolling process of aluminum alloy sheets. It uses multiple calculation steps and control feedback steps to cyclically simulate the angle rolling process, continuously optimizing and adjusting the angle rolling input data based on the simulation results. This ensures that the optimal input data can be used in the actual angle rolling process to obtain the expected rolled sheet. A standardized angle rolling coordinate system setting ensures the consistency of geometric rotation and modeling operations in mathematical definitions, avoiding calculation errors caused by coordinate confusion. The combination of angle transformation and influence function modeling allows for a more realistic simulation of the stress and deformation behavior of the rolled piece in space during the rolling process. Through element partitioning... Discretization improves modeling accuracy, making the mechanical model closer to the actual rolling process. By setting a second angle rotation in the opposite direction to the first angle, the deformation path of the raw material under multi-directional stress can be further optimized, effectively alleviating the asymmetric stress and thickness deviation problems caused by unidirectional rolling. Data storage enables the system to have self-learning and experience data accumulation capabilities, improving the success rate of the next matching and shortening the rolling parameter configuration time. Thickness control supports rapid closed-loop optimization. Based on preset parameter optimization logic, complex parameter linkage adjustments can be completed without manual intervention, significantly improving rolling accuracy and control efficiency.
[0130] Finally, it should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0131] The above embodiments are only used to illustrate the technical solutions of this application and not to limit them; although this application has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications can still be made to the specific implementation of this application or equivalent substitutions can be made to some technical features without departing from the spirit of the technical solutions of this application, and all such modifications and substitutions should be covered within the scope of the technical solutions claimed in this application.
Claims
1. A method for controlling thickness distribution during the angle rolling process of aluminum alloy sheets, characterized in that, include: In the matching step, the first workpiece data, the work roll data, and the corresponding expected result data are input into a database. The database retrieves and outputs historical result data based on the first workpiece data and the work roll data. It is determined whether the historical result data matches the expected result data. If they match, the historical result data is directly output as the rolling thickness result data. Otherwise, the multi-pass calculation step is entered. The multi-pass calculation steps involve establishing an angular rolling coordinate system based on the first rolled piece data, performing a geometric rotation transformation on the first rolled piece data based on a first angle in the angular rolling coordinate system to construct a first rolling force calculation model, inputting rolling process data into the first rolling force calculation model to obtain second rolled piece data, performing a geometric rotation transformation on the second rolled piece data based on a second angle in the angular rolling coordinate system to construct a second rolling force calculation model, and inputting the rolling process data into the second rolling force calculation model to obtain third rolled piece data, wherein the third rolled piece data includes thickness distribution data and plate shape results. Control feedback step: Determine whether the third rolled piece data matches the expected result data. If yes, output the third rolled piece data as the rolling thickness result data, and store the rolling thickness result data and its corresponding input data into the database. Otherwise, adjust the first angle, the second angle, and the rolling process data and return to the multi-pass calculation step for recalculation.
2. The method for controlling thickness distribution during the angle rolling process of aluminum alloy sheets according to claim 1, characterized in that, The multi-pass calculation step further includes: The coordinate system establishment step involves setting an X-axis and a Y-axis based on the length and width directions of the rolled piece in the first rolled piece data, respectively. The intersection of the X-axis and the Y-axis is set as the origin of the coordinate system. The angular rolling coordinate system is established by setting the origin of the coordinate system to coincide with the intersection of the two diagonals of the rolled piece.
3. The method for controlling thickness distribution during the angle rolling process of aluminum alloy sheets according to claim 2, characterized in that, The multi-pass calculation step further includes: In the first pass calculation step, the first workpiece data is rotated forward by a first angle based on the angular rolling coordinate system, and the first workpiece data and work roll data are divided and discretized into units according to the influence function method, thereby constructing a first rolling force calculation model. The rolling process data is input into the first rolling force calculation model for calculation, and the first workpiece data is adjusted based on the calculation results output by the first rolling force calculation model to obtain the second workpiece data.
4. The method for controlling thickness distribution during the angle rolling process of aluminum alloy sheets according to claim 3, characterized in that, The multi-pass calculation step further includes: In the second pass calculation step, the second workpiece data is rotated in the opposite direction by a second angle based on the angular rolling coordinate system, and the second workpiece data and work roll data are divided and discretized into units according to the influence function method, thereby constructing a second rolling force calculation model. The rolling process data is input into the second rolling force calculation model for calculation, and the second workpiece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third workpiece data.
5. The method for controlling thickness distribution during the angle rolling process of aluminum alloy sheets according to claim 1, characterized in that, The control feedback step further includes: The judgment step determines whether the data of the third rolled piece matches the expected result data. If yes, the data storage step is initiated; otherwise, the thickness control step is initiated. The data storage step involves matching the third rolled piece data with the expected result data, outputting the third rolled piece data as the rolling thickness result data, and simultaneously storing the third rolled piece data, the first angle, the second angle, the first rolled piece data, the work roll data, and the rolling process data into the database. In the thickness control step, based on the mismatch between the third rolled piece data and the expected result data, the first angle, the second angle, and the rolling process data are adjusted and then input into the multi-pass calculation step for recalculation.
6. A thickness distribution control system for the angle rolling process of aluminum alloy sheets, characterized in that, include: The matching module is used to input the first rolled piece data, the work roll data and the corresponding expected result data into a database. The database retrieves and outputs historical result data based on the first rolled piece data and the work roll data, and determines whether the historical result data matches the expected result data. If they match, the historical result data is directly output as the rolling thickness result data. Otherwise, the calculation is performed in the multi-pass calculation module. The multi-pass calculation module establishes an angular rolling coordinate system based on the first rolled piece data. Within this angular rolling coordinate system, a geometric rotation transformation is performed on the first rolled piece data based on a first angle to construct a first rolling force calculation model. Rolling process data is input into the first rolling force calculation model to obtain second rolled piece data. Within the angular rolling coordinate system, a geometric rotation transformation is performed on the second rolled piece data based on a second angle to construct a second rolling force calculation model. The rolling process data is then input into the second rolling force calculation model to obtain third rolled piece data, which includes thickness distribution data and plate shape results. The control feedback module is used to determine whether the third rolled piece data matches the expected result data. If so, the third rolled piece data is output as the rolling thickness result data, and the rolling thickness result data and its corresponding input data are stored in the database. Otherwise, the first angle, the second angle, and the rolling process data are adjusted and the calculation is returned to the multi-pass calculation module for recalculation.
7. The thickness distribution control system for the angle rolling process of aluminum alloy sheet according to claim 6, characterized in that, The multi-track calculation module further includes: The coordinate system establishment unit sets the X-axis and Y-axis based on the length and width directions of the rolled piece in the first rolled piece data, respectively. The intersection of the X-axis and the Y-axis is set as the coordinate origin. The angular rolling coordinate system is established by setting the coordinate origin to coincide with the intersection of the two diagonals of the rolled piece.
8. The thickness distribution control system for the angle rolling process of aluminum alloy sheet according to claim 7, characterized in that, The multi-track calculation module further includes: The first pass calculation unit rotates the first workpiece data forward by a first angle based on the angular rolling coordinate system, and divides and discretizes the first workpiece data and work roll data into units according to the influence function method, thereby constructing a first rolling force calculation model. The rolling process data is input into the first rolling force calculation model for calculation, and the first workpiece data is adjusted based on the calculation results output by the first rolling force calculation model to obtain the second workpiece data.
9. The thickness distribution control system for the angle rolling process of aluminum alloy sheet according to claim 8, characterized in that, The multi-track calculation module further includes: The second pass calculation unit rotates the second workpiece data in the opposite direction by a second angle based on the angular rolling coordinate system, and divides and discretizes the second workpiece data and work roll data into units according to the influence function method, thereby constructing a second rolling force calculation model. The rolling process data is input into the second rolling force calculation model for calculation, and the second workpiece data is adjusted based on the calculation results output by the second rolling force calculation model to obtain the third workpiece data.
10. The thickness distribution control system for the angle rolling process of aluminum alloy sheet according to claim 6, characterized in that, The control feedback module further includes: The judgment unit is used to determine whether the data of the third rolled piece matches the expected result data. If yes, it enters the data storage unit; otherwise, it enters the thickness control unit. The data storage unit, based on the matching of the third rolled piece data with the expected result data, outputs the third rolled piece data as the rolling thickness result data, and simultaneously stores the third rolled piece data, the first angle, the second angle, the first rolled piece data, the work roll data, and the rolling process data into the database; The thickness control unit, based on the mismatch between the third rolled piece data and the expected result data, adjusts the first angle, the second angle, and the rolling process data and then inputs them into the multi-pass calculation unit for recalculation.