Optimization design method and device of electromagnetic coil for magnetic pulse forming

Abstract

The present invention provides an electromagnetic coil optimization design method and device for magnetic pulse forming, including: determining multiple design parameters of the electromagnetic coil and the design space of each of the design parameters; sampling each of the design parameters in the corresponding design space to obtain multiple parameter combinations, each of the parameter combinations includes a sampling point of each of the design parameters; applying a simulation calculation model to perform simulation calculations based on the multiple parameter combinations, and obtaining an approximate model between the parameter combination and the optimization target; optimizing the approximate model according to the optimization target to obtain a target coil. The present invention can comprehensively consider the main effects and interactions of the coil structure parameters, construct a high-precision approximate model to find the optimal combination solution of the coil structure parameters, quickly design the coil, and has high reliability, low design cost, short design cycle, and a wide range of applications.

Description

Technical Field

[0001] The invention belongs to the technical field of magnetic pulse forming, and in particular relates to an electromagnetic coil optimization design method and device for magnetic pulse forming. Background Art

[0002] With the growing demand for lightweight vehicles, more and more research has been conducted on magnetic pulse forming due to its outstanding advantages in the field of lightweight aluminum alloy forming by joining dissimilar metals. In the magnetic pulse forming process, the coil is the carrier of the discharge current, plays an important role in guiding the current, concentrating the magnetic field, and inducing the magnetic field force to deform the sheet metal, and is an important part of the entire forming process. In the magnetic pulse forming system, the geometric structure and size of the coil are important parameters affecting the magnetic pulse forming effect, which will significantly affect the magnitude and distribution of the magnetic field force.

[0003] The current design method of magnetic pulse coils is mainly based on a combination of empirical formulas and trial and error. For example, when the forming of a formed part is difficult and requires a large electromagnetic force, the design of a high-fine coil cross-section or an increase in the number of turns of the coil is often based on experimental experience, and there is no systematic analysis of the influence of the coil structure parameters on the magnetic field force, which can easily lead to unsatisfactory forming effects and require the coil to be redesigned for processing, increasing production costs and extending the production cycle. It can be seen that the existing coil design method has a slow coil design cycle, high design costs, and is not universal. Therefore, it is very important to optimize the structural dimensions of the coil. Summary of the invention

[0004] The present invention provides an electromagnetic coil optimization design method and device for magnetic pulse forming, so as to solve the problems of the existing coil design method, namely, slow coil design cycle, high design cost and lack of universality.

[0005] Based on the above purpose, an embodiment of the present invention provides an electromagnetic coil optimization design method for magnetic pulse forming, including: determining multiple design parameters of the electromagnetic coil and the design space of each of the design parameters; sampling each of the design parameters in the corresponding design space to obtain multiple parameter combinations, each of the parameter combinations including a sampling point of each of the design parameters; applying a simulation calculation model to perform simulation calculations based on the multiple parameter combinations, and obtaining an approximate model between the parameter combination and the optimization target; optimizing the approximate model according to the optimization target to obtain a target coil.

[0006] Optionally, determining multiple design parameters of the electromagnetic coil and the design space of each design parameter includes: extracting structural parameters of the electromagnetic coil according to the working principle of the electromagnetic coil; performing sensitivity analysis on the structural parameters of the electromagnetic coil, selecting multiple design parameters from the structural parameters according to the optimization goal of magnetic pulse forming, and determining the design space corresponding to each design parameter.

[0007] Optionally, the multiple design parameters include: the inner diameter of the coil, the gap between the second and third turns of the coil, the gap between the fourth and fifth turns of the coil, the cross-sectional height of the third turn of the coil, the cross-sectional height of the sixth turn of the coil, the cross-sectional width of the third turn of the coil, the cross-sectional width of the fourth turn of the coil, the cross-sectional width of the fifth turn of the coil, the cross-sectional width of the seventh turn of the coil, and the cross-sectional width of the eighth turn of the coil.

[0008] Optionally, sampling each of the design parameters in the corresponding design space to obtain multiple parameter combinations includes: applying a preset sampling method to uniformly sample each of the design parameters in the corresponding design space to obtain multiple parameter combinations.

[0009] Optionally, the sampling method is one of the optimal Latin hypercube sampling method, the full factor method, the central composite method, and the orthogonal array method.

[0010] Optionally, applying a simulation calculation model to perform simulation calculations according to multiple parameter combinations and obtaining approximate models of the parameter combinations and corresponding first simulation target values ​​includes: applying a simulation calculation model to perform simulation calculations according to multiple parameter combinations and obtaining first simulation targets corresponding to each parameter combination; and establishing an approximate model of the parameter combinations and optimization targets that meets accuracy requirements based on multiple parameter combinations and each first simulation target.

[0011] Optionally, applying a simulation calculation model to perform simulation calculations according to multiple parameter combinations to obtain first simulation targets corresponding to each parameter combination, including: updating the structural dimensions of the electromagnetic coil according to multiple parameter combinations; calculating the electromagnetic force using Ansys software according to the updated structural dimensions of the electromagnetic coil; and obtaining the first simulation targets corresponding to each parameter combination according to the calculated electromagnetic force using LS_DYNA software.

[0012] Optionally, optimizing the approximate model according to the optimization target to obtain the target coil includes: applying a sequential quadratic programming method based on the approximate model to obtain the optimization target and an optimal parameter combination corresponding to the optimization target, wherein the electromagnetic coil corresponding to the optimal parameter combination is the target coil; updating the three-dimensional model of the electromagnetic coil according to the optimal parameter combination, and applying the simulation calculation model to simulate and calculate the optimal parameter combination to verify the approximate model.

[0013] Based on the same inventive concept, an embodiment of the present invention also proposes an electromagnetic coil optimization design device for magnetic pulse forming, including: a parameter determination unit, used to determine multiple design parameters of the electromagnetic coil and the design space of each of the design parameters; a parameter sampling unit, used to sample each of the design parameters in the corresponding design space, and obtain multiple parameter combinations, each of the parameter combinations includes a sampling point of each of the design parameters; an approximate model acquisition unit, used to apply a simulation calculation model to perform simulation calculations according to the multiple parameter combinations, and obtain an approximate model between the parameter combination and the optimization target; a target coil acquisition unit, used to optimize the approximate model according to the optimization target and obtain the target coil.

[0014] Based on the same inventive concept, an embodiment of the present invention further proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the program.

[0015] The technical effect of the present invention is that, as can be seen from the above description, an electromagnetic coil optimization design method and device for magnetic pulse forming provided by an embodiment of the present invention determines multiple design parameters of the electromagnetic coil and the design space of each of the design parameters; samples each of the design parameters in the corresponding design space to obtain multiple parameter combinations, each of the parameter combinations includes a sampling point of each of the design parameters; applies a simulation calculation model to perform simulation calculations according to the multiple parameter combinations, and obtains an approximate model between the parameter combination and the optimization target; optimizes the approximate model according to the optimization target to obtain the target coil, which can comprehensively consider the main effects and interactions of the coil structure parameters, construct a high-precision approximate model to find the optimal combination solution of the coil structure parameters, and quickly design the coil with high reliability, low design cost, short design cycle, and wide application range. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic flow chart of an electromagnetic coil optimization design method for magnetic pulse forming in an embodiment of the present invention;

[0018] Figure 2 is a schematic structural diagram of an electromagnetic coil in an embodiment of the present invention;

[0019] Figure 3 Schematic diagram of the principle of the optimal Latin hypercube sampling method in an embodiment of the present invention;

[0020] Figure 4 is a schematic diagram of another electromagnetic coil optimization design method for magnetic pulse forming in an embodiment of the present invention;

[0021] Figure 5 It is a schematic structural diagram of an electromagnetic coil optimization design device for magnetic pulse forming in an embodiment of the present invention;

[0022] Figure 6 Schematic diagram of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0024] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present invention should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the embodiments of the present invention do not represent any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0025] The embodiment of the present invention also provides an electromagnetic coil optimization design method for magnetic pulse forming. Figure 1 As shown, the electromagnetic coil optimization design method for magnetic pulse forming includes:

[0026] Step S11: determining a plurality of design parameters of the electromagnetic coil and a design space of each of the design parameters.

[0027] In an embodiment of the present invention, optionally, according to the working principle of the electromagnetic coil, the structural parameters of the electromagnetic coil are extracted; a sensitivity analysis is performed on the structural parameters of the electromagnetic coil, a plurality of design parameters are selected from the structural parameters according to the optimization goal of magnetic pulse forming, and the design space corresponding to each design parameter is determined.

[0028] The embodiment of the present invention selects the distance between the sheet metal and the die after flanging, the flanging height and the thinning rate of the sheet metal as the optimization targets of magnetic pulse forming that need to be obtained. Taking a 9-turn flat spiral coil as an example, its working principle is to use a pulse capacitor to suddenly release the stored energy, generate a strong and short magnetic field through the coil, and generate an induced magnetic field on the metal blank at the same time, and use the magnetic field force to form the metal. The embodiment of the present invention optimizes the design of a round hole electromagnetic flanging coil with a flanging coefficient of 0.65, and improves the flanging quality by changing the coil structure. According to the working principle of the electromagnetic coil, the embodiment of the present invention selects 27 structural parameters including the inner diameter of the coil, the width of each section, the height of each section, and the gap between sections; through the sensitivity analysis of the structural parameters of the electromagnetic coil, 10 structural parameters that have a significant impact on the flanging effect are extracted as design parameters. Figure 2 As shown, the multiple design parameters include: coil inner diameter a, gap b of the second and third turns of the coil, gap c of the fourth and fifth turns of the coil, cross-sectional height d of the third turn of the coil, cross-sectional height e of the sixth turn of the coil, cross-sectional width f of the third turn of the coil, cross-sectional width g of the fourth turn of the coil, cross-sectional width h of the fifth turn of the coil, cross-sectional width i of the seventh turn of the coil, and cross-sectional width j of the eighth turn of the coil.

[0029] In the embodiment of the present invention, after selecting multiple design parameters, it is also necessary to determine the design space corresponding to each design parameter. Since the middle part of the electromagnetic coil needs to be connected to the terminal and energized, the inner diameter of the coil cannot be too small. Considering the actual processing technology, a≥15mm is taken; in addition, since the projection area of ​​the electromagnetic coil on the sheet material needs to be within the deformation area of ​​the sheet material flanging, otherwise the deformation area cannot generate electromagnetic force sufficient for plastic deformation, so a≤40mm. For the gap and cross-sectional width between sections, the lower limit needs to consider the projection area of ​​the electromagnetic coil on the sheet material, so the range of the gap is set to 2-4mm, and the range of the cross-sectional width is set to 2-5mm. In order to prevent the coil from sparking and breaking through the coil when the coil is discharged, the cross-sectional height of the coil cannot be too high. At the same time, in order to generate induced electromagnetic force on the sheet material, the cross-sectional height of the coil should not be too low, and the range of variation is set to 5-9mm. The design space of each design parameter is shown in Table 1.

[0030] Table 1 Design parameters of electromagnetic coil

[0031]

[0032] It should be noted that different optimization targets of magnetic pulse forming and different electromagnetic coil sheets may have different selected structural parameters. That is, the selection of design parameters, the size of the design space corresponding to the design parameters and the optimization target can be changed according to the engineering requirements of the electromagnetic coil, and no specific restrictions are made here.

[0033] Step S12: sampling each of the design parameters in the corresponding design space to obtain a plurality of parameter combinations, each of which includes a sampling point of each of the design parameters.

[0034] In the embodiment of the present invention, after the design space of each design parameter is obtained, sampling is performed in the design space to obtain n groups of parameter combinations, each group of parameter combinations includes a sampling point of each of the design parameters. In step S12, optionally, a preset sampling method is applied to uniformly sample each of the design parameters in the corresponding design space to obtain multiple parameter combinations. The sampling method is one of the optimal Latin hypercube sampling method, the full factor method, the central composite method, and the orthogonal array method.

[0035] The present invention uses the optimal Latin hypercube sampling method to perform uniform sampling in each of the optimization design spaces. The principle of the optimal Latin hypercube sampling method is as follows: Figure 3 As shown in the figure, the optimal Latin hypercube sampling method optimizes the order in which each level appears in each column of the experimental design matrix, so that the factor level distribution of each sample point in the matrix is ​​as uniform as possible.

[0036] Step S13: performing simulation calculations using a simulation calculation model according to the plurality of parameter combinations, and obtaining an approximate model between the parameter combinations and the optimization target.

[0037] In step S13, a simulation calculation model is applied to perform simulation calculations according to the plurality of parameter combinations to obtain first simulation targets corresponding to the parameter combinations. Optionally, the structural dimensions of the electromagnetic coil are updated according to the plurality of parameter combinations; the electromagnetic force is calculated according to the updated structural dimensions of the electromagnetic coil using Ansys software; and the first simulation targets corresponding to the parameter combinations are obtained according to the calculated electromagnetic force using LS_DYNA software. It should be noted that Ansys software and LS_DYNA software are only examples. In the embodiments of the present invention, different three-dimensional modeling software and meshing software can be replaced according to needs, and different finite element calculation software can be used according to the optimization design object, and different settings can be made.

[0038] After obtaining each first simulation target corresponding to each parameter combination, an approximate model of the parameter combination and the optimization target that meets the accuracy requirements is established according to the multiple parameter combinations and each first simulation target. For example, taking the film-sticking distance based on the sheet as an example, after the simulation calculation of the magnetic pulse forming is completed, each first simulation target is extracted. According to the first simulation target and the design parameters corresponding to the first simulation target, based on the film-sticking distance of the sheet, combined with the response surface model, an approximate model between the sheet film-sticking distance and the design parameters is established. If the error test result of the approximate model meets the accuracy requirements, the next step can be directly performed. If the error test result of the established approximate model does not meet the accuracy requirements, it is necessary to return to step S12, re-sample through the optimal Latin hypercube sampling method, update the simulation calculation model of the magnetic pulse forming, calculate the simulation analysis, extract the first simulation target, and re-construct the approximate model until the accuracy of the established approximate model meets the requirements. The error analysis results of the approximate model of the embodiment of the present invention are shown in Table 2 below.

[0039] Table 2 Error analysis results of approximate model

[0040]

[0041] As can be seen from Table 2, the R 2 =0.984=98.4%. R-squared is used to measure the degree of conformity between the approximate model and the sample points. 2 The closer it is to 1, the higher the degree of fit, which means the model is more reliable.

[0042] Step S14: Optimizing the approximate model according to the optimization target to obtain a target coil.

[0043] In an embodiment of the present invention, optionally, based on the approximate model, a sequential quadratic programming method is applied to obtain an optimization target and an optimal parameter combination corresponding to the optimization target, wherein the electromagnetic coil corresponding to the optimal parameter combination is the target coil; the three-dimensional model of the electromagnetic coil is updated according to the optimal parameter combination, and the simulation calculation model is applied to simulate the parameter combination of the target coil to verify the approximate model. For example, after the approximate model between the sheet metal film distance and the design parameters meets the accuracy requirements, the approximate model is used to replace the simulation calculation model for optimization design, and the optimized sheet metal film distance and the corresponding design parameters are obtained based on the sequential quadratic programming method. According to the optimized design parameters, the three-dimensional model of the coil is updated, and the simulation calculation of the film distance is performed again to verify the accuracy and reliability of the approximate model.

[0044] According to the sensitivity analysis of the structural parameters of the electromagnetic coil, the embodiment of the present invention selects structural parameters with significant main effects from a large number of structural parameters for optimization, and extracts the optimization target according to the engineering requirements for the use of the electromagnetic coil; performs multiple groups of sampling according to the sampling method, and inputs the data of each group of sampling points into the accurately calibrated simulation model for simulation to obtain the simulation target value; selects a suitable approximate model according to the sampling results, and continues sampling if the accuracy of the approximate model is not enough; if the accuracy of the approximate model meets the requirements, a suitable optimization method is used based on the approximate model to find the optimal combination of coil structural parameters. The electromagnetic coil optimization design method for magnetic pulse forming of the embodiment of the present invention can comprehensively consider the main effects and interactions of the coil structural parameters, use a large number of simulation model data points to build a high-precision approximate model, and find the optimal combination solution of the structural parameters of the electromagnetic coil based on the approximate model. Compared with the existing empirical formula design method and trial and error design method, it has the advantages of high scientificity, high reliability, low design cost, and short design cycle.

[0045] Figure 4 is a schematic diagram of another electromagnetic coil optimization design method for magnetic pulse forming according to an embodiment of the present invention, such as Figure 4 As shown, the electromagnetic coil optimization design method for magnetic pulse forming includes:

[0046] Step 200: Determine the design parameters of the electromagnetic coil.

[0047] According to the working principle of the electromagnetic coil, the structural parameters of the electromagnetic coil are extracted, and a sensitivity analysis is performed on the structural parameters to select a plurality of design parameters from the structural parameters.

[0048] Step 201: Determine the design space and optimization target of each design parameter.

[0049] While selecting multiple design parameters, determine the design space corresponding to each design parameter and select an optimization objective. For example, select the distance between the formed sheet metal and the die after flanging, the flanging height, and the thinning rate of the sheet metal as the optimization objectives to be obtained for magnetic pulse forming.

[0050] Step 202: Sample in each optimization space to obtain n sets of design parameter combinations.

[0051] Apply a preset sampling method to sample each design parameter in each optimization space to obtain n sets of design parameter combinations. Each set of parameter combinations includes a sampling point for each design parameter.

[0052] Step 203: Update the coil structure according to the design parameter combinations.

[0053] Update the coil structure of the electromagnetic coil in sequence according to each design parameter combination.

[0054] Step 204: Perform simulation calculations using the simulation calculation model.

[0055] Perform simulation calculations using the simulation calculation model in sequence according to the updated coil structure to obtain the first simulation objectives corresponding to each parameter combination respectively.

[0056] Step 205: Determine whether i < n. If so, execute Step 206; otherwise, execute Step 207.

[0057] Determine whether the simulation calculations for the n sets of parameter combinations are completed.

[0058] Step 206: i = i + 1. Jump to Step 203.

[0059] If the simulation calculations for the n sets of parameter combinations are not completed, let i = i + 1, then jump to Step 203 to continue the simulation calculations for the next set of parameter combinations.

[0060] Step 207: Establish an approximation model.

[0061] If the simulation calculations for the n sets of parameter combinations are not completed, establish an approximation model according to the simulation calculation results, specifically establish an approximation model between the parameter combinations and the optimization objectives based on the n sets of parameter combinations and the corresponding n first simulation objectives.

[0062] Step 208: Determine whether the accuracy requirement is met. If not, execute Step 209; otherwise, execute Step 210.

[0063] Determine whether the approximation model established in Step 207 meets the accuracy requirement.

[0064] Step 209: Increase the sampling points. Jump to Step 202.

[0065] If the approximate model established in step 207 does not meet the accuracy requirement, the sampling points of each design parameter are increased, and the process jumps to step 202 to continue sampling each design parameter.

[0066] Step 210: Using sequential quadratic programming to find the optimal design parameter combination based on the approximate model.

[0067] If the approximate model established in step 207 meets the accuracy requirement, the optimal design parameter combination is found by sequential quadratic programming based on the approximate model.

[0068] Step 211: Substitute the simulation calculation model for verification and optimization.

[0069] The three-dimensional model of the electromagnetic coil is updated according to the optimal parameter combination, and the simulation calculation model is used to simulate the optimal parameter combination and verify the approximate model. Thus, the optimal combination solution of the coil structure parameters is found.

[0070] The embodiment of the present invention determines multiple design parameters of the electromagnetic coil and the design space of each of the design parameters; samples each of the design parameters in the corresponding design space to obtain multiple parameter combinations, each of the parameter combinations includes a sampling point of each of the design parameters; applies a simulation calculation model to perform simulation calculations according to the multiple parameter combinations, and obtains an approximate model between the parameter combination and the optimization target; optimizes the approximate model according to the optimization target to obtain the target coil, which can comprehensively consider the main effects and interactions of the coil structure parameters, construct a high-precision approximate model to find the optimal combination solution of the coil structure parameters, quickly design the coil, and has high reliability, low design cost, short design cycle, and wide application range.

[0071] The above describes specific embodiments of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] Based on the same inventive concept, an embodiment of the present invention provides an electromagnetic coil optimization design device for magnetic pulse forming. Figure 5 As shown, the electromagnetic coil optimization design device for magnetic pulse forming includes: a parameter determination unit, a parameter sampling unit, an approximate model acquisition unit and a target coil acquisition unit.

[0073] A parameter determination unit, used to determine a plurality of design parameters of the electromagnetic coil and a design space of each of the design parameters;

[0074] A parameter sampling unit, used to sample each of the design parameters in the corresponding design space to obtain a plurality of parameter combinations, each of which includes a sampling point of each of the design parameters;

[0075] An approximate model acquisition unit, used to perform simulation calculations using a simulation calculation model according to a plurality of the parameter combinations, and to acquire an approximate model between the parameter combinations and the optimization target;

[0076] The target coil acquisition unit is used to optimize the approximate model according to the optimization target to acquire the target coil.

[0077] For the convenience of description, the above device is described as various modules according to their functions. Of course, when implementing the embodiment of the present invention, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0078] The apparatus of the above-mentioned embodiment is used to implement the corresponding method in the above-mentioned embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0079] Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in any one of the above embodiments is implemented.

[0080] Figure 6 A more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment is shown, and the device may include: a processor 601, a memory 602, an input / output interface 603, a communication interface 604, and a bus 605. The processor 601, the memory 602, the input / output interface 603, and the communication interface 604 are connected to each other in communication within the device through the bus 605.

[0081] The processor 601 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided by the embodiments of the present invention.

[0082] The memory 602 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 602 may store an operating system and other application programs. When the technical solution provided by the embodiment of the present invention is implemented by software or firmware, the relevant program code is stored in the memory 602 and is called and executed by the processor 601.

[0083] The input / output interface 603 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device can include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device can include a display, a speaker, a vibrator, an indicator light, etc.

[0084] The communication interface 604 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0085] The bus 605 includes a path for transmitting information between various components of the device (eg, the processor 601 , the memory 602 , the input / output interface 603 , and the communication interface 604 ).

[0086] It should be noted that, although the above device only shows the processor 601, the memory 602, the input / output interface 603, the communication interface 604 and the bus 605, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present invention, and does not necessarily include all the components shown in the figure.

[0087] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0088] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of this disclosure.

Claims

1. A method for optimizing the design of electromagnetic coils for magnetic pulse forming, characterized in that: The method comprises: Determining a plurality of design parameters of the electromagnetic coil and a design space of each of the design parameters; Sampling each of the design parameters in the corresponding design space to obtain a plurality of parameter combinations, each of the parameter combinations including a sampling point of each of the design parameters; Applying a simulation calculation model to perform simulation calculation according to the plurality of parameter combinations, and obtaining an approximate model between the parameter combination and the optimization target; Optimizing the approximate model according to the optimization target to obtain a target coil; The step of optimizing the approximate model according to the optimization target to obtain the target coil includes: Based on the approximate model, a sequential quadratic programming method is applied to obtain an optimization target and an optimal parameter combination corresponding to the optimization target, wherein the electromagnetic coil corresponding to the optimal parameter combination is the target coil; The three-dimensional model of the electromagnetic coil is updated according to the optimal parameter combination, and the simulation calculation model is used to perform simulation calculation on the optimal parameter combination to verify the approximate model.

2. The method according to claim 1, characterized in that: The determining of the multiple design parameters of the electromagnetic coil and the design space of each of the design parameters comprises: According to the working principle of the electromagnetic coil, extract the structural parameters of the electromagnetic coil; A sensitivity analysis is performed on the structural parameters of the electromagnetic coil, a plurality of design parameters are selected from the structural parameters according to the optimization target of magnetic pulse forming, and the design space corresponding to each design parameter is determined.

3. The method according to claim 2, characterized in that: The multiple design parameters include: the inner diameter of the coil, the gap between the second and third turns of the coil, the gap between the fourth and fifth turns of the coil, the cross-sectional height of the third turn of the coil, the cross-sectional height of the sixth turn of the coil, the cross-sectional width of the third turn of the coil, the cross-sectional width of the fourth turn of the coil, the cross-sectional width of the fifth turn of the coil, the cross-sectional width of the seventh turn of the coil, and the cross-sectional width of the eighth turn of the coil.

4. The method according to claim 1, characterized in that: The step of sampling each of the design parameters in the corresponding design space to obtain multiple parameter combinations includes: A preset sampling method is applied to uniformly sample each of the design parameters in the corresponding design space to obtain multiple parameter combinations.

5. The method according to claim 4, characterized in that: The sampling method is one of the optimal Latin hypercube sampling method, the full factor method, the central composite method, and the orthogonal array method.

6. The method according to claim 1, characterized in that: The applying a simulation calculation model to perform simulation calculation according to the plurality of parameter combinations and obtaining an approximate model of the parameter combinations and the corresponding first simulation target values ​​includes: Perform simulation calculations using a simulation calculation model according to the plurality of parameter combinations to obtain first simulation targets corresponding to the parameter combinations; The approximate model of the parameter combination and the optimization target that meets the accuracy requirement is established according to the plurality of parameter combinations and each of the first simulation targets.

7. The method according to claim 6, characterized in that: The step of applying a simulation calculation model to perform simulation calculation according to the plurality of parameter combinations to obtain first simulation targets corresponding to the parameter combinations includes: updating the structural dimensions of the electromagnetic coils respectively according to a plurality of parameter combinations; Calculate the electromagnetic force using Ansys software according to the updated structural dimensions of the electromagnetic coil; The first simulation targets corresponding to the parameter combinations are obtained by using LS_DYNA software according to the calculated electromagnetic force.

8. An electromagnetic coil optimization design device for magnetic pulse forming, characterized in that: The device comprises: A parameter determination unit, used to determine a plurality of design parameters of the electromagnetic coil and a design space of each of the design parameters; A parameter sampling unit, used to sample each of the design parameters in the corresponding design space to obtain a plurality of parameter combinations, each of which includes a sampling point of each of the design parameters; An approximate model acquisition unit, used to perform simulation calculations using a simulation calculation model according to a plurality of the parameter combinations, and to acquire an approximate model between the parameter combinations and the optimization target; A target coil acquisition unit, configured to optimize the approximate model according to the optimization target to acquire a target coil; The step of optimizing the approximate model according to the optimization target to obtain the target coil includes: Based on the approximate model, a sequential quadratic programming method is applied to obtain an optimization target and an optimal parameter combination corresponding to the optimization target, wherein the electromagnetic coil corresponding to the optimal parameter combination is the target coil; The three-dimensional model of the electromagnetic coil is updated according to the optimal parameter combination, and the simulation calculation model is used to perform simulation calculation on the optimal parameter combination to verify the approximate model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

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