A method and system for acquiring an electromagnetic shaping actuator

Abstract

This application belongs to the field of metal electromagnetic high-speed forming manufacturing technology, specifically disclosing a method and system for obtaining an electromagnetic forming actuator. The method includes: determining the basic structural parameters of the electromagnetic forming actuator with the goal of maximizing the magnetic energy utilization efficiency and the electromagnetic force impulse on the workpiece; obtaining the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements, and determining the parameters to be optimized and their value ranges in the bottom morphology function; determining a typical deformable workpiece configuration based on the workpiece deformation process and the target forming shape; calculating the weighted average of the magnetic field distribution uniformity index and magnetic energy efficiency of the electromagnetic forming actuator with different bottom morphology parameters on the typical deformable workpiece configuration; and selecting the optimal bottom morphology parameters based on a multi-objective optimization model with the goal of improving the magnetic field uniformity and magnetic energy efficiency. This application fundamentally solves the problem of uneven electromagnetic force caused by the structure of the electromagnetic forming actuator.

Description

Technical Field

[0001] This application belongs to the field of metal electromagnetic high-speed forming manufacturing technology, and more specifically, relates to a method and system for acquiring an electromagnetic forming actuator. Background Technology

[0002] At room temperature, when forming metal workpieces using traditional forming methods such as stamping, hydraulic forming, and spinning, there are problems such as low forming limits and poor forming quality. Metal workpieces are prone to defects such as wrinkling, cracking, and springback. Electromagnetic forming, through the principle of electromagnetic induction, drives metal workpieces to produce high-speed deformation. As a high-speed forming technology, electromagnetic forming can break through the forming limits of metal materials at room temperature and improve forming quality and precision.

[0003] However, due to the extremely short duration of electromagnetic load application, far shorter than the workpiece deformation time, most of the plastic deformation of the workpiece in electromagnetic forming is dominated by inertia. This significantly increases the uncontrollability of the workpiece deformation behavior. Furthermore, the high non-uniformity of electromagnetic load distribution significantly reduces the uniformity of workpiece deformation, exacerbating the risk of localized breakage. The high-speed collisions and rebounds between the workpiece and the mold further reduce the forming quality, greatly limiting the application range of electromagnetic forming. Therefore, current research on electromagnetic forming force field control is of great significance for improving workpiece wall thickness distribution, increasing film application accuracy, and enhancing material formability. Changing the coil structure is the most direct way to alter the electromagnetic force field, but it only improves the uniformity of electromagnetic force distribution in some areas, failing to fundamentally address the problem of non-uniform electromagnetic force distribution in electromagnetic forming. This increases the cost and difficulty of coil winding. Uniform pressure coil structures can significantly improve the uniformity of electromagnetic distribution, but they suffer from arcing issues between the conductive channel and the workpiece, and are limited by the size of the formed workpiece. Adding a metal block around the coil to form an electromagnetic forming actuator that applies electromagnetic force to the workpiece can effectively improve the controllability of the electromagnetic force. However, the introduction of the metal block will reduce the energy utilization efficiency of the forming system and reduce the uniformity of the electromagnetic force distribution due to gaps in the electromagnetic forming actuator. Therefore, how to optimize the structure of the electromagnetic forming actuator is a key problem that needs to be solved. Summary of the Invention

[0004] In view of the shortcomings of the prior art, the purpose of this application is to provide a method and system for obtaining an electromagnetic forming actuator, which aims to solve the problem that gaps exist in the existing electromagnetic forming actuators, resulting in poor uniformity of electromagnetic force distribution.

[0005] To achieve the above objectives, in a first aspect, this application provides a method for obtaining an electromagnetic shaping actuator, comprising the following steps:

[0006] Step 1: Determine the basic structural parameters of the electromagnetic forming actuator with the goal of maximizing the magnetic energy utilization efficiency and the electromagnetic force impulse on the workpiece; the basic structural parameters are the structural parameters of the electromagnetic forming actuator other than the bottom morphology parameters.

[0007] Step 2: Based on the electromagnetic forming force field requirements, obtain the bottom morphology function of the electromagnetic forming actuator, and determine the parameters to be optimized and their value range in the bottom morphology function. At the same time, determine the typical deformed workpiece configuration based on the workpiece deformation process and the target forming shape.

[0008] Step 3: Sample the bottom morphology parameters of the electromagnetic forming actuator, calculate the weighted average of the magnetic field distribution uniformity index and magnetic energy efficiency of the electromagnetic forming actuator with different bottom morphology parameters on a typical deformed workpiece configuration, and select one or more sets of optimal bottom morphology parameters based on a multi-objective optimization model with the goal of improving magnetic field uniformity and magnetic energy efficiency.

[0009] It should be noted that a two-dimensional axisymmetric model is used to construct the electromagnetic forming actuator when determining the basic structural parameters; a three-dimensional model is used to calculate the weighted average of the magnetic field distribution uniformity index and magnetic energy efficiency of electromagnetic forming actuators with different bottom morphology parameters on typical deformed workpiece configurations.

[0010] More preferably, the electromagnetic forming actuator includes a coil and a metal block with a slit, the metal block being divided into an upper half and a lower half; the upper half and the lower half are coaxial annular cylinders with different radii; the basic structural parameters of the electromagnetic forming actuator include the outer diameter of the lower half, the outer diameter of the upper half, the height of the lower half, the inner diameter, and the number of coil turns.

[0011] More preferably, in step two, based on the forming process and target forming shape of the workpiece, the workpiece is simplified into an axisymmetric shape, and by adjusting the maximum deformation size at the center of the workpiece, different degrees of deformation of the workpiece are simulated to form a typical deformed workpiece configuration;

[0012] The expression for the cross-sectional shape of the workpiece is as follows: ;in, The magnitude of the axial deformation of the workpiece; This represents the maximum deformation at the center of the workpiece.

[0013] More preferably, in step two, based on the electromagnetic forming force field requirements, the bottom morphology function of the electromagnetic forming actuator is determined; the bottom morphology function of the electromagnetic forming actuator includes: the bottom morphology function of the electromagnetic forming actuator in the radial and circumferential directions; the parameters to be optimized in the bottom morphology function of the electromagnetic forming actuator include structural control function parameters and the maximum thickness reduction parameter of the lower half of the electromagnetic forming actuator.

[0014] The bottom topography function of the electromagnetic forming actuator is: , , ; and These are the bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator, respectively; a , b , c , d These are the structural control function parameters for the electromagnetic forming actuator; It is the circumferential angle; This is the distance from the center of the workpiece; b This is the distance from the lowest point of the lower half of the electromagnetic forming actuator to the center of the workpiece.

[0015] More preferably, in step three, the uniformity of the magnetic field distribution is:

[0016]

[0017] The magnetic energy efficiency is:

[0018]

[0019] in, Indicates the magnetic energy efficiency of the target region; This represents the total magnetic energy of the system; Indicates the magnetic field strength of the target region;

[0020] The weighting coefficients in the weighted average of the uniformity of magnetic field distribution and magnetic energy efficiency are the proportions of the maximum deformation of the workpiece center within different ranges.

[0021] More preferably, in step three, the electromagnetic forming actuator structure control function parameters and the maximum thickness reduction of the lower half of the electromagnetic forming actuator are used as inputs to the feedforward neural network, and the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency is used as the output of the feedforward neural network to obtain the mapping relationship between the bottom morphology parameters and performance parameters.

[0022] A multi-objective optimization model is constructed with the objectives of minimizing the mean of the magnetic field distribution uniformity index and maximizing the mean of the magnetic energy efficiency, in order to find the optimal combination of bottom morphology parameters for the electromagnetic forming actuator.

[0023] Secondly, this application provides a system for acquiring an electromagnetic shaping actuator, comprising:

[0024] The basic structural parameter determination module is used to determine the basic structural parameters of the electromagnetic forming actuator with the goal of maximizing the magnetic energy utilization efficiency and the electromagnetic force impulse on the workpiece; wherein, the basic structural parameters are the structural parameters of the electromagnetic forming actuator other than the bottom morphology parameters.

[0025] The bottom morphology function determination module is used to obtain the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements, and to determine the parameters to be optimized and their value range in the bottom morphology function.

[0026] The deformable workpiece configuration determination module is used to determine the configuration of a typical deformable workpiece based on the workpiece's deformation process and target forming shape.

[0027] The weighted average calculation module is used to sample the bottom morphology parameters of the electromagnetic forming actuator and calculate the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency of the electromagnetic forming actuator with different bottom morphology parameters on a typical deformed workpiece configuration.

[0028] The optimal selection module is used to establish a multi-objective optimization model based on neural networks, with the goal of improving magnetic field uniformity and magnetic energy efficiency, and to select the optimal bottom morphology parameters.

[0029] More preferably, the electromagnetic forming actuator includes a coil and a metal block with a slit, the metal block being divided into an upper half and a lower half; the upper half and the lower half are coaxial annular cylinders with different radii; the basic structural parameters of the electromagnetic forming actuator include the outer diameter of the lower half, the outer diameter of the upper half, the height of the lower half, the inner diameter, and the number of coil turns.

[0030] More preferably, the deformable workpiece configuration determination module is used to simplify the workpiece into an axisymmetric shape according to the forming process and target forming shape of the workpiece, and to simulate different degrees of deformation of the workpiece by adjusting the maximum deformation size at the center of the workpiece, thereby forming a typical deformable workpiece configuration;

[0031] The expression for the cross-sectional shape of the workpiece is as follows: ;in, The magnitude of the axial deformation of the workpiece; This represents the maximum deformation at the center of the workpiece.

[0032] More preferably, the bottom morphology function determination module is used to determine the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements; the bottom morphology function of the electromagnetic forming actuator includes: the bottom morphology function in the radial and circumferential directions of the electromagnetic forming actuator; the parameters to be optimized in the bottom morphology function of the electromagnetic forming actuator include structural control function parameters and the maximum thickness reduction parameters of the lower half of the electromagnetic forming actuator.

[0033] The bottom topography function of the electromagnetic forming actuator is: , , ; and These are the bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator, respectively; a ,b , c , d These are the structural control function parameters for the electromagnetic forming actuator; It is the circumferential angle; This is the distance from the center of the workpiece; b This is the distance from the lowest point of the lower half of the electromagnetic forming actuator to the center of the workpiece.

[0034] More preferably, in the weighted average calculation module, the uniformity of the magnetic field distribution is:

[0035]

[0036] The magnetic energy efficiency is:

[0037]

[0038] in, Indicates the magnetic energy efficiency of the target region; This represents the total magnetic energy of the system; Indicates the magnetic field strength of the target region;

[0039] The weighting coefficients in the weighted average of the uniformity of magnetic field distribution and magnetic energy efficiency are the proportions of the maximum deformation of the workpiece center within different ranges.

[0040] More preferably, the selection module includes: a mapping relationship determination unit and a bottom morphology parameter selection unit;

[0041] The mapping relationship determination unit is used to obtain the mapping relationship between the bottom morphology parameters and performance parameters by taking the electromagnetic forming actuator structure control function parameters and the maximum thickness reduction of the lower half of the electromagnetic forming actuator as inputs to the feedforward neural network, and the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency as outputs of the feedforward neural network.

[0042] The bottom morphology parameter optimization unit is used to construct a multi-objective optimization model with the goal of minimizing the mean of the magnetic field distribution uniformity index and maximizing the mean of the magnetic energy efficiency, in order to find the optimal combination of bottom morphology parameters for the electromagnetic forming actuator.

[0043] Thirdly, this application provides an electronic device, comprising: at least one memory for storing a program; and at least one processor for executing the program stored in the memory, wherein when the program stored in the memory is executed, the processor is configured to execute the method described in the first aspect or any possible implementation thereof.

[0044] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to perform the method described in the first aspect or any possible implementation thereof.

[0045] Fifthly, this application provides a computer program product that, when run on a processor, causes the processor to perform the method described in the first aspect or any possible implementation thereof.

[0046] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.

[0047] Overall, the technical solutions conceived in this application have the following beneficial effects compared with the prior art:

[0048] This application provides a method for obtaining an electromagnetic forming actuator. The structural parameters of the electromagnetic forming actuator are decoupled into basic structural parameters and bottom morphology parameters. The bottom morphology and typical workpiece configurations of the electromagnetic forming actuator are repeatedly modified. Through iterative calculations, the optimization effect of the electromagnetic forming actuator is ensured. The magnetic field distribution parameters of the electromagnetic forming actuator on workpieces with various typical deformation configurations are calculated, fully reflecting the adaptability of the electromagnetic forming actuator to different deformable workpieces.

[0049] This application provides a method for obtaining an electromagnetic forming actuator, which can obtain the structure of the electromagnetic forming actuator according to the electromagnetic force field forming requirements and forming principle, realize flexible control of the electromagnetic force field, and fundamentally solve the problems of uneven electromagnetic force caused by the structure of the electromagnetic forming actuator. Attached Figure Description

[0050] Figure 1 This is a flowchart of the method for obtaining the electromagnetic shaping actuator provided in the embodiments of this application;

[0051] Figure 2 This is a schematic diagram of the structure of the electromagnetic shaping actuator provided in the embodiment of this application;

[0052] Figure 3 This is a schematic diagram of the basic structural parameters of the electromagnetic shaping actuator provided in the embodiments of this application;

[0053] Figure 4(a) is a schematic diagram of the cross-sectional current of the electromagnetic forming actuator under the three-dimensional model provided in the embodiment of this application;

[0054] Figure 4(b) is a schematic diagram of the cross-sectional current of the electromagnetic forming actuator under the two-dimensional axisymmetric model provided in the embodiment of this application;

[0055] Figure 5This is a schematic diagram of a two-dimensional axisymmetric model provided in an embodiment of this application;

[0056] Figure 6 This is a schematic diagram of the deformation process of a workpiece under electromagnetic forming action provided in an embodiment of this application;

[0057] Figure 7 This is a schematic diagram of the parameterization of the deformable workpiece provided in the embodiments of this application;

[0058] Figure 8 This is a schematic diagram of the bottom topographic parameters of the electromagnetic forming actuator provided in the embodiments of this application;

[0059] Figure 9 This is a schematic diagram of a three-dimensional model provided in an embodiment of this application;

[0060] Figure 10 This is a schematic diagram of the neural network structure provided in the embodiments of this application;

[0061] Figure 11 This is a schematic diagram of the three-dimensional electromagnetic-structural field coupling simulation model provided in the embodiments of this application. Detailed Implementation

[0062] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0063] In this application, the term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A exists alone, A and B exist simultaneously, and B exists alone. The symbol " / " in this document indicates that the related objects are in an "or" relationship; for example, A / B means A or B.

[0064] The terms "first" and "second," etc., used in the specification and claims of this application are used to distinguish different objects, rather than to describe a specific order of objects.

[0065] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0066] In the description of the embodiments in this application, unless otherwise stated, "multiple" means two or more.

[0067] The embodiments of this application are described below with reference to the accompanying drawings.

[0068] Example 1

[0069] like Figure 1 As shown, this application provides a method for obtaining an electromagnetic shaping actuator, including the following steps:

[0070] Step S1: Based on the structure of the electromagnetic forming actuator, the structural parameters of the electromagnetic forming actuator are divided into basic structural parameters and bottom morphology structural parameters; specifically: as follows... Figure 2 The diagram shows a typical electromagnetic forming actuator structure for a 458mm flat panel. The electromagnetic forming actuator includes a coil and a metal block with a gap. First, the structural parameters of the electromagnetic forming actuator are divided into basic structural parameters and morphological parameters. A schematic diagram of the basic structural parameters is shown below. Figure 3 As shown;

[0071] like Figure 3 As shown, the basic structural parameters of the electromagnetic forming actuator include the inner diameter of the electromagnetic forming actuator. The outer diameter of the lower half of the electromagnetic forming actuator Outer diameter of the upper half lower half height and number of coil turns n ; Lower half outer diameter of electromagnetic forming actuator The effective area of ​​the electromagnetic forming actuator on the workpiece is related to the area of ​​the actuator itself, which is fixed at 25 mm. This is taken into account factors such as the strength and efficiency of the electromagnetic forming actuator. Fixed at 30mm;

[0072] Step S2: Using a low-computation-cost two-dimensional axisymmetric model, with the goal of improving the energy utilization efficiency of the electromagnetic forming actuator while ensuring the mechanical structural strength of the electromagnetic forming actuator, the basic structural parameters of the electromagnetic forming actuator are determined.

[0073] More specifically, since the electromagnetic forming actuator has a gap in its circumferential direction and is not a strictly axisymmetric geometry, a complete three-dimensional model is usually required for simulation analysis. However, the parametric modeling process of the three-dimensional model is complex, requires large computational resources, and is time-consuming. Therefore, by setting special boundary conditions, the three-dimensional model of the actuator can be approximated as a two-dimensional axisymmetric model, which greatly simplifies the modeling process, reduces the number of meshes, and improves the efficiency of optimizing basic structural parameters. According to the working principle of the electromagnetic forming actuator, the gap serves to cut off the circumferential eddy current induced on the inner side and conduct it to the outer side to form circumferential eddy current, thereby realizing the renormalization of the magnetic circuit. Therefore, in the two-dimensional axisymmetric model, if the internal current of the magnet cross section is set to 0, the real effect of the electromagnetic forming actuator on the redistribution of the magnetic field can be approximately reproduced, as shown in Figures 4(a) and 4(b).

[0074] A simplified two-dimensional axisymmetric model of an electromagnetic forming actuator, as follows: Figure 5 As shown, considering factors such as actual processing conditions, workpiece forming requirements, and the strength limitations of the actuator itself, the inner diameter of the electromagnetic forming actuator is... The value ranges from 4mm to 20mm, and the outer diameter is... The value range is 30mm~45mm and the number of coil turns. n With values ​​ranging from 4 to 20, the magnetic energy utilization rate of the electromagnetic shaping actuator is calculated using the parametric scanning function in both the frequency and time domains of the two-dimensional axisymmetric model. and the electromagnetic force impulse on the workpiece ,in, , Represents the target area (e.g.) Figure 3 (As shown) Effective magnetic energy; Represents the total magnetic energy of the system, and the impulse of the electromagnetic force. The integral of the average electromagnetic force on the workpiece over the forming time period; the magnetic energy utilization efficiency of the electromagnetic forming actuator. and the electromagnetic force impulse on the workpiece Determine the inner diameter of the electromagnetic forming actuator with the maximum as the target. , outer diameter and number of coil turns n ;

[0075] Step S3: Based on the workpiece deformation process, target forming shape, and electromagnetic forming force field requirements, design the bottom morphology function of the electromagnetic forming actuator, determine the undetermined optimization parameters and value range in the morphology function, and determine the typical deformed workpiece configuration.

[0076] like Figure 6As shown, the workpiece is formed from a flat workpiece into the target shape. The shape is complex and varied. In order to determine the performance parameters of the electromagnetic forming actuator on workpieces of different shapes, the deformation configuration of the workpiece is first parameterized.

[0077] First, based on the forming process and target shape of the workpiece, the deformed workpiece is simplified to an axisymmetric shape, and its cross-sectional shape expression is as follows: ,in, The magnitude of the axial deformation of the workpiece; Represents the maximum deformation at the center of the workpiece, such as Figure 7 As shown, by adjusting The magnitude of the value simulates different degrees of deformation of the workpiece; r This represents the distance from the center of the workpiece; The maximum radius representing the deformation range of the workpiece is selected based on a typical deformable workpiece configuration. The value range of ; according to this embodiment, the forming process of the 458mm flat workpiece, The value range of is [-5, 15], where, The values ​​in [-5, 0], [0, 5], [5, 10], and [10, 15] accounted for 30.3%, 60.1%, 9.6%, and 0.2% respectively; [selected] Workpieces with diameters of -5, 0, 5, and 10 mm are typical deformable workpiece configurations.

[0078] Further determining the electromagnetic forming force field requirements, and based on these requirements, the bottom morphology function, undetermined optimization parameters, and their value ranges for the electromagnetic forming actuator are preliminarily determined. The bottom morphology parameters of the electromagnetic forming actuator are obtained as follows: , , ;in, and These are the bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator, respectively; a , b , c , d These are the structural control function parameters for the electromagnetic forming actuator; It is the circumferential angle; This is the distance from the center of the workpiece; b This refers to the distance from the lowest point of the lower half of the electromagnetic forming actuator to the center of the workpiece; simultaneously, to ensure the mechanical strength of the electromagnetic forming actuator and further improve the flexibility of magnetic field distribution control, a [missing information] is introduced. ,like Figure 8 As shown, This indicates the maximum thickness reduction of the lower half of the electromagnetic forming actuator;

[0079] Therefore, there are a total of five variables used to determine the bottom morphology of the electromagnetic forming actuator, namely: a , b , c , d , ,in, b , c , d , As independent variables, a The size is determined by boundary conditions: when = At that time, the maximum movement of the electromagnetic forming actuator mesh is To determine;

[0080] Step S4: Using the Latin hypercube sampling method, the bottom morphology parameters of the electromagnetic forming actuator are sampled. Using a computationally expensive 3D model, the weighted average values ​​of the magnetic field distribution uniformity and magnetic energy efficiency of the electromagnetic forming actuators with different bottom morphologies on typical workpiece configurations are calculated. The nonlinear functional relationship between the bottom morphology parameters and performance parameters is fitted using a neural network to establish a multi-objective optimization model. With the goal of improving the magnetic field uniformity and magnetic energy efficiency, one or more sets of optimal bottom morphology parameters are selected, and the performance parameters of the electromagnetic forming actuator are calculated to verify the optimization effect. If the optimization effect does not meet expectations, the bottom morphology function and the configuration of the typical deformed workpiece are redesigned.

[0081] More specifically, the bottom structure of the electromagnetic forming actuator has a complex influence on the magnetic field distribution of the workpiece, involving multiple morphology control parameters. It is difficult to determine the optimal structure of the electromagnetic forming actuator through parameter scanning. To efficiently optimize the structural parameters of the electromagnetic forming actuator under multi-dimensional parameters, this embodiment employs the Latin hypercube sampling method. Within a given range, the morphology parameters of the electromagnetic forming actuator are sampled. Compared to simple random sampling or parameterized scanning, the Latin hypersampling method can cover the entire parameter sample space as much as possible with a limited number of samples. Considering the limitations of the electromagnetic forming actuator's mechanical strength and actual processing conditions, etc. b , c , d , The value ranges of the parameters are shown in the table below;

[0082] Table 1

[0083]

[0084] Within the aforementioned value range, 100 sets of data were sampled, representing 100 electromagnetic forming actuator shapes. For each electromagnetic forming actuator shape, a three-dimensional simulation model was established for four typical workpiece configurations, such as... Figure 9 As shown; in this embodiment of the application, the uniformity of magnetic field distribution is selected. and magnetic energy efficiency The forming performance of the electromagnetic forming actuator is evaluated by the following expression: , ,in, Indicates the magnetic energy efficiency of the target region; The total magnetic energy of the system is represented by the weighted average of the magnetic field distribution uniformity and efficiency of the electromagnetic forming actuator for four typical workpiece configurations, which serves as the index of magnetic field distribution uniformity and efficiency value for each shape of electromagnetic forming actuator; the weighting coefficients are... The proportions of values ​​within the ranges of [-5,0], [0,5], [5,10], and [10,15] are 30.3%, 60.1%, 9.6%, and 0.2%, respectively; the calculation results of the three-dimensional electromagnetic analysis model provide a template for neural network fitting.

[0085] Step S5: Establish a three-dimensional electromagnetic-structural coupling analysis model. Based on the simulation results and experimental results, compare the deformation-related performance parameters of the electromagnetic forming actuator before and after optimization to further verify the optimization effect. If the expected effect is not achieved, redesign the bottom morphology function and the configuration of typical deformed workpieces.

[0086] More specifically, in this embodiment, a feedforward neural network structure is used to establish four electromagnetic shaping actuator structural parameters and two optimization indices. and The mapping relationship between them is structured as follows: Figure 10 As shown, it consists of an input layer, a hidden layer, and an output layer. The number of neurons in the input layer corresponds to the number of variables in the research object. The hidden layer contains multiple layers of neurons, while the output layer consists of a single neuron, outputting the final prediction result transmitted through the hidden layer. Based on 100 sets of calculation results samples from the 3D simulation model, two models capable of predicting the uniformity of magnetic field distribution were successfully constructed. and electromagnetic forming actuator efficiency Neural networks.

[0087] Based on the mapping relationship between the bottom morphology parameters of the electromagnetic forming actuator and the two performance indicators learned by the aforementioned neural network, a corresponding multi-objective optimization model is further constructed, with the magnetic field distribution uniformity index as the key factor. Minimize the mean and the efficiency mean With the goal of maximizing, the optimal combination of morphological parameters for the electromagnetic forming actuator is sought. A multi-objective optimization model is used. A genetic algorithm is used to solve the Pareto optimal solution of the multi-objective model;

[0088] In the optimal solution set, select one or more sets of bottom morphology parameters of the electromagnetic shaping actuator, and calculate their magnetic field distribution performance parameters respectively. and If the optimization effect meets the expected indicators, then a three-dimensional electromagnetic-structural coupling simulation analysis model is established, such as... Figure 11 As shown, the deformation results of the workpiece are calculated. Based on the workpiece deformation results in the simulation and the experimental results, the reliability of optimizing the performance of the electromagnetic forming actuator is further verified.

[0089] Example 2

[0090] This application provides a system for acquiring an electromagnetic shaping actuator, comprising:

[0091] The basic structural parameter determination module is used to determine the basic structural parameters of the electromagnetic forming actuator with the goal of maximizing the magnetic energy utilization efficiency and the electromagnetic force impulse on the workpiece; wherein, the basic structural parameters are the structural parameters of the electromagnetic forming actuator other than the bottom morphology parameters.

[0092] The bottom morphology function determination module is used to obtain the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements, and to determine the parameters to be optimized and their value range in the bottom morphology function.

[0093] The deformable workpiece configuration determination module is used to determine the configuration of a typical deformable workpiece based on the workpiece's deformation process and target forming shape.

[0094] The weighted average calculation module is used to sample the bottom morphology parameters of the electromagnetic forming actuator and calculate the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency of the electromagnetic forming actuator with different bottom morphology parameters on a typical deformed workpiece configuration.

[0095] The optimal selection module is used to establish a multi-objective optimization model based on neural networks, with the goal of improving magnetic field uniformity and magnetic energy efficiency, and to select the optimal bottom morphology parameters.

[0096] More preferably, the electromagnetic forming actuator includes a coil and a metal block with a slit, the metal block being divided into an upper half and a lower half; the upper half and the lower half are coaxial annular cylinders with different radii; the basic structural parameters of the electromagnetic forming actuator include the outer diameter of the lower half, the outer diameter of the upper half, the height of the lower half, the inner diameter, and the number of coil turns.

[0097] More preferably, the deformable workpiece configuration determination module is used to simplify the workpiece into an axisymmetric shape according to the forming process and target forming shape of the workpiece, and to simulate different degrees of deformation of the workpiece by adjusting the maximum deformation size at the center of the workpiece, thereby forming a typical deformable workpiece configuration;

[0098] The expression for the cross-sectional shape of the workpiece is as follows: ;in, The magnitude of the axial deformation of the workpiece; This represents the maximum deformation at the center of the workpiece.

[0099] More preferably, the bottom morphology function determination module is used to determine the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements; the bottom morphology function of the electromagnetic forming actuator includes: the bottom morphology function in the radial and circumferential directions of the electromagnetic forming actuator; the parameters to be optimized in the bottom morphology function of the electromagnetic forming actuator include structural control function parameters and the maximum thickness reduction parameters of the lower half of the electromagnetic forming actuator.

[0100] The bottom topography function of the electromagnetic forming actuator is: , , ; and These are the bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator, respectively; a , b , c , d These are the structural control function parameters for the electromagnetic forming actuator; It is the circumferential angle; This is the distance from the center of the workpiece; b This is the distance from the lowest point of the lower half of the electromagnetic forming actuator to the center of the workpiece.

[0101] More preferably, in the weighted average calculation module, the uniformity of the magnetic field distribution is:

[0102]

[0103] The magnetic energy efficiency is:

[0104]

[0105] in, Indicates the magnetic energy efficiency of the target region; This represents the total magnetic energy of the system; Indicates the magnetic field strength of the target region;

[0106] The weighting coefficients in the weighted average of the uniformity of magnetic field distribution and magnetic energy efficiency are the proportions of the maximum deformation of the workpiece center within different ranges.

[0107] More preferably, the selection module includes: a mapping relationship determination unit and a bottom morphology parameter selection unit;

[0108] The mapping relationship determination unit is used to obtain the mapping relationship between the bottom morphology parameters and performance parameters by taking the electromagnetic forming actuator structure control function parameters and the maximum thickness reduction of the lower half of the electromagnetic forming actuator as inputs to the feedforward neural network, and the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency as outputs of the feedforward neural network.

[0109] The bottom morphology parameter optimization unit is used to construct a multi-objective optimization model with the goal of minimizing the mean of the magnetic field distribution uniformity index and maximizing the mean of the magnetic energy efficiency, in order to find the optimal combination of bottom morphology parameters for the electromagnetic forming actuator.

[0110] Compared with existing structural optimization methods for electromagnetic shaping actuators, this application has the following advantages:

[0111] This application provides a method for obtaining an electromagnetic forming actuator. The structural parameters of the electromagnetic forming actuator are decoupled into basic structural parameters and bottom morphology parameters. The bottom morphology and typical workpiece configurations of the electromagnetic forming actuator are repeatedly modified through iterative calculations to ensure the optimization effect of the electromagnetic forming actuator. In a high-precision simulation model, the magnetic field distribution parameters of the electromagnetic forming actuator on workpieces with various typical deformation configurations are calculated, fully reflecting the adaptability of the electromagnetic forming actuator to different deformable workpieces.

[0112] This application provides a method for obtaining an electromagnetic forming actuator, which decouples the structural parameters of the electromagnetic forming actuator into basic structural parameters and morphological parameters, and designs them according to the calculation results of models with different computational costs and different computational accuracy, thereby ensuring the accuracy of the calculation results while improving computational efficiency.

[0113] This application provides a method for obtaining an electromagnetic forming actuator, which can design the structure of the electromagnetic forming actuator according to the electromagnetic force field forming requirements and forming principle, realize flexible control of the electromagnetic force field, and fundamentally solve the problems of uneven electromagnetic force caused by the structure of the electromagnetic forming actuator.

[0114] It is understood that the detailed functional implementation of each of the above units / modules can be found in the description in the aforementioned method embodiments, and will not be repeated here.

[0115] It should be understood that the above-described device is used to execute the methods in the above embodiments. The corresponding program modules in the system are similar in implementation principle and technical effect to those described in the above methods. The working process of the system can be referred to the corresponding process in the above methods, and will not be repeated here.

[0116] Based on the methods in the above embodiments, this application provides an electronic device that may include a processor, a communications interface, a memory, and a communication bus, wherein the processor, communications interface, and memory communicate with each other via the communication bus. The processor may invoke logical instructions stored in the memory to execute the methods in the above embodiments.

[0117] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0118] Based on the methods in the above embodiments, this application provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to execute the methods in the above embodiments.

[0119] Based on the methods in the above embodiments, this application provides a computer program product that, when run on a processor, causes the processor to execute the methods in the above embodiments.

[0120] It is understood that the processor in the embodiments of this application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. A general-purpose processor can be a microprocessor or any conventional processor.

[0121] The method steps in this application embodiment can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, portable hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can reside in an ASIC.

[0122] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0123] It is understood that the various numerical designations used in the embodiments of this application are merely for the convenience of description and are not intended to limit the scope of the embodiments of this application.

[0124] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for obtaining an electromagnetic shaping actuator, characterized in that, Includes the following steps: Step 1: Determine the basic structural parameters of the electromagnetic forming actuator with the goal of maximizing the magnetic energy utilization efficiency and the electromagnetic force impulse on the workpiece; the basic structural parameters are the structural parameters of the electromagnetic forming actuator other than the bottom morphology parameters. Step 2: Based on the electromagnetic forming force field requirements, obtain the bottom morphology function of the electromagnetic forming actuator, and determine the parameters to be optimized and their value range in the bottom morphology function; at the same time, determine the typical deformable workpiece configuration based on the workpiece deformation process and the target forming shape. Step 3: Calculate the weighted average of the magnetic field distribution uniformity index and magnetic energy efficiency of electromagnetic forming actuators with different bottom morphology parameters on typical deformed workpiece configurations. Based on a multi-objective optimization model, with the goal of improving magnetic field uniformity and magnetic energy efficiency, select the optimal bottom morphology parameters. The electromagnetic forming actuator includes a coil and a metal block with a slit, which is divided into an upper half and a lower half. The upper half and the lower half are coaxial annular cylinders with different radii. The basic structural parameters of the electromagnetic forming actuator include the outer diameter of the lower half, the outer diameter of the upper half, the height of the lower half, the inner diameter, and the number of coil turns.

2. The acquisition method according to claim 1, characterized in that, In step two, based on the forming process and target forming shape of the workpiece, the workpiece is simplified into an axisymmetric shape. By adjusting the maximum deformation size at the center of the workpiece, different degrees of deformation of the workpiece are simulated to form a typical deformed workpiece configuration. The expression for the cross-sectional shape of the workpiece is as follows: ;in, The magnitude of the axial deformation of the workpiece; This represents the maximum deformation at the center of the workpiece; r This represents the distance from the center of the workpiece; The maximum radius representing the range of workpiece deformation.

3. The acquisition method according to claim 2, characterized in that, In step two, the bottom morphology function of the electromagnetic forming actuator is determined based on the electromagnetic forming force field requirements; The bottom topography function of the electromagnetic forming actuator includes: bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator; the parameters to be optimized in the bottom topography function of the electromagnetic forming actuator include structural control function parameters and maximum thickness reduction parameters of the lower half of the electromagnetic forming actuator. The bottom topography function of the electromagnetic forming actuator is: , , ; and These are the bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator, respectively; a , b , c , d These are the structural control function parameters for the electromagnetic forming actuator; It is the circumferential angle; This is the distance from the center of the workpiece; b This is the distance from the lowest point of the lower half of the electromagnetic forming actuator to the center of the workpiece.

4. The acquisition method according to claim 3, characterized in that, In step three, the uniformity of the magnetic field distribution is as follows: The magnetic energy efficiency is: in, Indicates the magnetic energy efficiency of the target region; This represents the total magnetic energy of the system; Indicates the magnetic field strength of the target region; For magnetic energy efficiency; For the uniformity of magnetic field distribution; The weighting coefficients in the weighted average of the uniformity of magnetic field distribution and magnetic energy efficiency are the proportions of the maximum deformation of the workpiece center within different ranges.

5. The acquisition method according to claim 4, characterized in that, In step three, the electromagnetic forming actuator structure control function parameters and the maximum thickness reduction of the lower half of the electromagnetic forming actuator are used as inputs to the feedforward neural network, and the weighted average of magnetic field distribution uniformity and magnetic energy efficiency is used as the output of the feedforward neural network to obtain the mapping relationship between bottom morphology parameters and performance parameters. Based on the mapping relationship between bottom morphology parameters and performance parameters, a multi-objective optimization model is constructed with the objectives of minimizing the mean of magnetic field distribution uniformity index and maximizing the mean of magnetic energy efficiency, in order to find the optimal combination of bottom morphology parameters for the electromagnetic forming actuator.

6. An acquisition system for implementing the acquisition method of the electromagnetic shaping actuator of claim 1, characterized in that, include: The basic structural parameter determination module is used to determine the basic structural parameters of the electromagnetic forming actuator with the goal of maximizing the magnetic energy utilization efficiency and the electromagnetic force impulse on the workpiece; wherein, the basic structural parameters are the structural parameters of the electromagnetic forming actuator other than the bottom morphology parameters. The bottom morphology function determination module is used to obtain the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements, and to determine the parameters to be optimized and their value range in the bottom morphology function. The deformable workpiece configuration determination module is used to determine the configuration of a typical deformable workpiece based on the workpiece's deformation process and target forming shape. The weighted average calculation module is used to sample the bottom morphology parameters of the electromagnetic forming actuator and calculate the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency of the electromagnetic forming actuator with different bottom morphology parameters on a typical deformed workpiece configuration. The optimal selection module is used to establish a multi-objective optimization model based on neural networks, with the goal of improving magnetic field uniformity and magnetic energy efficiency, and to select the optimal bottom morphology parameters.

7. The acquisition system according to claim 6, characterized in that, The deformable workpiece configuration determination module is used to simplify the workpiece into an axisymmetric shape based on the workpiece forming process and target forming shape. By adjusting the maximum deformation size at the workpiece center, it simulates different degrees of deformation of the workpiece and forms a typical deformable workpiece configuration. The expression for the cross-sectional shape of the workpiece is as follows: ;in, The magnitude of the axial deformation of the workpiece; This represents the maximum deformation at the center of the workpiece; r This represents the distance from the center of the workpiece; The maximum radius representing the range of workpiece deformation.

8. The acquisition system according to claim 6, characterized in that, The bottom morphology function determination module is used to determine the bottom morphology function of the electromagnetic forming actuator based on the electromagnetic forming force field requirements. The bottom topography function of the electromagnetic forming actuator includes: bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator; the parameters to be optimized in the bottom topography function of the electromagnetic forming actuator include structural control function parameters and maximum thickness reduction parameters of the lower half of the electromagnetic forming actuator. The bottom topography function of the electromagnetic forming actuator is: , , ; and These are the bottom topography functions in the radial and circumferential directions of the electromagnetic forming actuator, respectively; a , b , c , d These are the structural control function parameters for the electromagnetic forming actuator; It is the circumferential angle; This is the distance from the center of the workpiece; b This is the distance from the lowest point of the lower half of the electromagnetic forming actuator to the center of the workpiece.

9. The acquisition system according to any one of claims 6 to 8, characterized in that, The optimal selection module includes: a mapping relationship determination unit and a bottom morphology parameter selection unit; The mapping relationship determination unit is used to obtain the mapping relationship between the bottom morphology parameters and performance parameters by taking the electromagnetic forming actuator structure control function parameters and the maximum thickness reduction of the lower half of the electromagnetic forming actuator as inputs to the feedforward neural network, and the weighted average of the magnetic field distribution uniformity and magnetic energy efficiency as outputs of the feedforward neural network. The bottom morphology parameter optimization unit is used to construct a multi-objective optimization model with the goal of minimizing the mean of the magnetic field distribution uniformity index and maximizing the mean of the magnetic energy efficiency, in order to find the optimal combination of bottom morphology parameters for the electromagnetic forming actuator.

Images