Electromagnetic welding method, device, electronic terminal and computer readable storage medium

Abstract

The application provides an electromagnetic welding method, device, electronic terminal and computer readable storage medium. The electromagnetic welding method comprises the following steps: acquiring characteristic information of a workpiece to be welded; the workpiece to be welded comprises at least a flying plate and a base plate; the workpiece to be welded is made of conductive material; determining welding parameters of the workpiece to be welded based on the characteristic information of the workpiece to be welded through a parameter determination model; the parameter determination model is used to represent a nonlinear mapping relationship between the characteristic information and the welding parameters; and performing an electromagnetic pulse welding operation on the flying plate and the base plate based on the welding parameters of the workpiece to be welded. Since the parameter determination model can accurately map the nonlinear mapping relationship between the characteristic information and the welding parameters, the application can quickly determine the welding parameters of the workpiece to be welded based on the characteristic information of the workpiece to be welded through the parameter determination model, realize efficient and accurate prediction of the welding parameters of the workpiece to be welded with different characteristic information, and get rid of the dependence on the experimental trial-and-error method, which helps to improve the welding efficiency.

Description

Technical Field

[0001] This application relates to the field of welding technology, and in particular to an electromagnetic welding method, apparatus, electronic terminal, and computer-readable storage medium. Background Technology

[0002] With the rapid development of new energy technologies, the safety and reliability of battery packs have become critical issues. In existing technologies, laser welding of metal materials in battery packs involves a rapid heating and cooling process, resulting in problems such as particle spatter and high welding temperatures. Electromagnetic pulse (EMP) welding eliminates the need for a heat source, the molten pool, and the spatter problem. However, EMP welding of metal materials requires experimental trial-and-error methods to determine welding parameters, making it difficult to adapt to materials of varying thicknesses. This has become a pressing technical problem that needs to be solved in this field. Summary of the Invention

[0003] The main technical problem addressed by this application is to provide an electromagnetic welding method, apparatus, electronic terminal, and computer-readable storage medium that can efficiently and accurately determine welding parameters.

[0004] In a first aspect, this application provides an electromagnetic welding method, which includes:

[0005] Obtain the feature information of the workpiece to be welded; the workpiece to be welded includes at least a fly plate and a base plate; the workpiece to be welded is a conductive material;

[0006] The parameter determination model determines the welding parameters of the workpiece based on its feature information; the parameter determination model is used to characterize the nonlinear mapping relationship between feature information and welding parameters.

[0007] Electromagnetic pulse welding is performed on the fly plate and the base plate based on the welding parameters of the workpiece to be welded.

[0008] In the technical solution of this application embodiment, since the parameter determination model can accurately map the nonlinear mapping relationship between feature information and welding parameters, the welding parameters of the workpiece to be welded can be quickly determined based on the feature information of the workpiece to be welded by the parameter determination model, realizing efficient and accurate prediction of the welding parameters of workpieces to be welded with different feature information, getting rid of the dependence on experimental trial and error method, and helping to improve welding efficiency.

[0009] In some embodiments, the electromagnetic welding method further includes:

[0010] A reference data set is pre-built, which includes reference size-reference current mapping pairs;

[0011] The parameter determination model determines the welding parameters of the workpiece to be welded based on its feature information, including:

[0012] The parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece and the reference data set.

[0013] In the technical solution of this application embodiment, the welding parameters corresponding to the feature information of the workpiece to be welded are determined by the parameter determination model based on the reference size-reference current mapping pair in the reference data group verified by physical experiments, thereby improving the prediction accuracy and reliability of the welding parameters.

[0014] In some embodiments, the reference data set includes multiple reference size-reference current mapping pairs corresponding to different preset materials; the feature information also includes material information.

[0015] The parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece and a reference data set, including:

[0016] The material information of the workpiece to be welded is compared with the preset materials in the reference data group;

[0017] If the material information of the workpiece to be welded is consistent with a preset material in the reference data set, the welding parameters of the workpiece to be welded are determined by the parameter determination model based on the feature information of the workpiece to be welded and the reference size-reference current mapping pair corresponding to the preset material.

[0018] In the technical solution of this application embodiment, by establishing corresponding reference size-reference current mapping pairs for various preset materials, the welding parameters of the workpiece to be welded are determined based on the reference size-reference current mapping pairs corresponding to the preset materials that are consistent with the material information of the workpiece to be welded, thereby improving the accuracy of the welding parameters.

[0019] In some embodiments, the feature information of the workpiece to be welded includes at least the thickness data of the flyboard; the reference dimension includes the reference thickness; and the parameter determination model is used to characterize the current as a monotonically increasing nonlinear function of the thickness.

[0020] The parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece and a reference data set, including:

[0021] The adjustment factor is determined by using parameters to determine the thickness data of the flyboard and the reference thickness of the model.

[0022] The welding current of the flyplate is determined by nonlinearly adjusting the reference current based on the adjustment factor.

[0023] In the technical solution of this application embodiment, the adjustment factor is determined by the parameter determination model based on the thickness data of the workpiece to be welded and the reference thickness, and the reference current is nonlinearly adjusted based on the adjustment factor to improve the prediction accuracy of the welding current.

[0024] In some embodiments, an adjustment factor is determined based on the thickness data of the flyboard and a reference thickness, including:

[0025] The square root of the ratio between the thickness data of the flyboard and the reference thickness is used as the adjustment factor.

[0026] In the technical solution of this application embodiment, by using the square root of the ratio between the thickness data of the workpiece to be welded and the reference thickness as an adjustment factor, the accuracy of the adjustment factor is improved, which helps to improve the accuracy of the welding parameters of the workpiece to be welded.

[0027] In some embodiments, the welding current of the flyplate is determined by nonlinearly adjusting the reference current based on an adjustment factor, including:

[0028] The product of the adjustment factor and the reference current is used as the welding current for the fly plate.

[0029] In the technical solution of this application embodiment, the accuracy of the welding parameters of the workpiece to be welded is improved by using the product of the adjustment factor and the reference current as the welding current of the workpiece to be welded.

[0030] In some embodiments, the parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece, including:

[0031] The parameter determination model determines the initial welding parameters of the workpiece based on its feature information.

[0032] The initial welding parameters are corrected based on a preset percentage of the initial welding parameters to obtain the welding parameters for the workpiece to be welded.

[0033] In the technical solution of this application embodiment, the initial welding parameters are corrected by a preset percentage of the initial welding parameters, thereby further improving the accuracy of the welding parameters of the workpiece to be welded.

[0034] Secondly, this application provides an electromagnetic welding apparatus, which includes:

[0035] The acquisition module is used to acquire feature information of the workpiece to be welded; the workpiece to be welded includes at least a fly plate and a base plate; the workpiece to be welded is a conductive material.

[0036] The determination module is used to determine the welding parameters of the workpiece to be welded based on the feature information of the workpiece through the parameter determination model; the parameter determination model is used to characterize the nonlinear mapping relationship between feature information and welding parameters.

[0037] The welding module is used to perform electromagnetic pulse welding operations on flyboards and base plates based on the welding parameters of the workpieces to be welded.

[0038] Thirdly, this application provides an electronic terminal, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. The processor is used to execute program data to implement the steps in the electromagnetic welding method described above.

[0039] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the electromagnetic welding method described above.

[0040] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.

[0041] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic flowchart of an embodiment of the electromagnetic welding method provided in this application;

[0044] Figure 2 This is a flowchart illustrating a specific embodiment of step S2 in the electromagnetic welding method provided in this application;

[0045] Figure 3 This is a schematic diagram of the frame of an embodiment of the electromagnetic welding apparatus provided in this application;

[0046] Figure 4 This is a schematic diagram of the framework of an embodiment of the electronic terminal provided in this application;

[0047] Figure 5 This is a schematic diagram of a framework of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0048] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0050] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0051] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0052] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0053] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0054] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0055] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0056] With the rapid development of new energy technologies, the safety and reliability of battery packs have become critical issues. The outer casing of battery packs or cells can be made from metal sheets. In existing technologies, metal sheets can be joined using laser welding, but this process suffers from problems such as particle spatter and high welding temperatures. Electromagnetic pulse (EMP) welding of metal sheets requires no heat source input, produces no molten pool, and avoids the problem of particle spatter. However, EMP welding of metal sheets requires experimental trial-and-error methods to determine welding parameters, making it difficult to adapt to materials of varying thicknesses. This has become a pressing technical problem in this field.

[0057] Electromagnetic pulse welding is a non-contact welding technology that uses a strong, instantaneous electromagnetic pulse to excite eddy currents in a metal workpiece, generating a shock wave that causes the workpiece to collide at high speed, thus achieving a connection.

[0058] To quickly and accurately determine the welding parameters corresponding to metal plates of different thicknesses, this embodiment provides an electromagnetic welding method. Based on the parameter determination model, the method represents the nonlinear mapping relationship between feature information and welding parameters. The welding parameters corresponding to the feature information of the workpiece to be welded are predicted by the parameter determination model, thereby achieving efficient and accurate prediction of the welding parameters of workpieces with different feature information. This eliminates the reliance on experimental trial and error and improves the determination efficiency.

[0059] The battery pack in this embodiment can serve as a power source for a device, which can be, but is not limited to, mobile phones, tablets, laptops, electric toys, power tools, electric vehicles, electric cars, ships, spacecraft, etc. Electric toys can include stationary or mobile electric toys, such as game consoles, electric car toys, electric ship toys, and electric airplane toys, etc. Spacecraft can include airplanes, rockets, space shuttles, and spacecraft, etc.

[0060] In this embodiment, the battery pack can be formed by multiple cells connected in series, parallel, or in a hybrid configuration. Each cell can be a single battery unit. A single battery unit is a basic unit capable of converting chemical energy into electrical energy, and can be used to manufacture battery modules or battery packs to supply power to electrical devices. A hybrid configuration refers to multiple cells being connected in both series and parallel. Series, parallel, or hybrid connections between multiple cells are achieved by welding the terminals of the cells to the busbar. A single battery unit can be a rechargeable battery, meaning a battery unit that can be recharged after discharge to reactivate its active materials and continue to be used. A single battery unit can be a lithium-ion battery, sodium-ion battery, sodium-lithium-ion battery, lithium metal battery, sodium metal battery, lithium-sulfur battery, magnesium-ion battery, nickel-metal hydride battery, nickel-cadmium battery, lead-acid battery, etc., but this embodiment is not limited to these types. A cell can be cylindrical, flat, cuboid, or other shapes.

[0061] Please see Figure 1 , Figure 1 This is a schematic flowchart of an embodiment of the electromagnetic welding method provided in this application.

[0062] This application provides an electromagnetic welding method, which specifically includes the following steps.

[0063] S1: Obtain the feature information of the workpiece to be welded; the workpiece to be welded includes at least a fly plate and a base plate; the workpiece to be welded is a conductive material.

[0064] S2: The parameter determination model determines the welding parameters of the workpiece based on its feature information; the parameter determination model is used to characterize the nonlinear mapping relationship between feature information and welding parameters.

[0065] S3: Perform electromagnetic pulse welding operation on the fly plate and the base plate based on the welding parameters of the workpiece to be welded.

[0066] In the technical solution of this application embodiment, since the parameter determination model can accurately map the nonlinear mapping relationship between feature information and welding parameters, the welding parameters of the workpiece to be welded can be quickly determined based on the feature information of the workpiece to be welded by the parameter determination model, realizing efficient and accurate prediction of the welding parameters of workpieces to be welded with different feature information, getting rid of the dependence on experimental trial and error method, and improving the determination efficiency.

[0067] Specifically, the specific implementation of obtaining the feature information of the workpiece to be welded in step S1 includes the following methods.

[0068] In one embodiment, the feature information may include dimensional information and material information. The dimensional information includes at least thickness data, and may also include length data, width data, and area data of the welding area. The material information includes metallic materials; for example, the material of the workpiece to be welded may be gold, silver, copper, aluminum, iron, nickel, zinc, tin, etc., selected according to the actual situation.

[0069] In one specific embodiment, the workpiece to be welded includes a fly plate and a base plate. Specifically, the fly plate is the one driven by electromagnetic force and impacted at high speed, while the base plate is the one fixed by the impact. The fly plate needs to have high conductivity; for example, the material of the fly plate can be aluminum, copper, silver, or their alloys. The low resistance of the fly plate's material ensures the highest energy conversion efficiency. The base plate must be made of metal, but its conductivity can be lower than that of the fly plate. As long as the base plate is made of metal, it can participate in forming a metallurgical weld joint. For example, the base plate can be made of steel (including low-carbon steel and high-strength steel), titanium alloys, nickel alloys, etc.

[0070] In one embodiment, a reference data set is pre-built. The reference data set includes reference size-reference current mapping pairs.

[0071] In one embodiment, in order to improve the accuracy of welding parameters for the workpiece to be welded, corresponding reference size-reference current mapping pairs are constructed for different preset materials.

[0072] Specifically, the reference dimension includes at least the reference thickness, and may also include the reference width and the reference area of ​​the welding area, etc.

[0073] In one specific embodiment, the method for constructing a reference size-reference current mapping pair is as follows.

[0074] First, benchmark process parameters are established through electromagnetic pulse welding experiments to determine the optimal discharge current corresponding to a reference workpiece with a reference size. This optimal discharge current is then used as the reference current for the reference size, and a reference size-reference current mapping pair is constructed based on the matched reference size and reference current. For example, when welding a reference workpiece with a reference thickness of 2mm using electromagnetic pulse welding, the reference current I0 is calculated based on Maxwell's electromagnetic theory. Specifically, sufficient collision velocity is required when welding a reference workpiece with a reference thickness of 2mm. The collision velocity of the reference workpiece is determined based on the current I0 of the coil in the electromagnetic pulse welding equipment. The current I0 of the coil generates a pulsed magnetic field, and the reference workpiece in the pulsed magnetic field induces eddy currents. These eddy currents generate electromagnetic forces to determine the acceleration of the reference workpiece, and the collision velocity of the reference workpiece is determined based on the acceleration of the reference workpiece.

[0075] Maxwell's electromagnetic theory is a technique that uses transmitted signals to obtain information about the structure or composition of a sample by passing an incident signal through it.

[0076] In some embodiments, the material information of the workpiece to be welded is compared with each preset material in the reference data set; in response to the material information of the workpiece to be welded being consistent with a preset material in the reference data set, the welding parameters of the workpiece to be welded are determined by the parameter determination model based on the feature information of the workpiece to be welded and the reference size-reference current mapping pair corresponding to the preset material.

[0077] In one specific embodiment, the preset materials in the reference data set may include aluminum, copper, silver, etc., and aluminum, copper, and silver each have corresponding reference size-reference current mapping pairs. When the material information of the workpiece to be welded is copper, the welding parameters of the workpiece to be welded are determined by the parameter determination model based on the feature information of the workpiece to be welded and the reference size-reference current mapping pair corresponding to copper. When the material information of the workpiece to be welded is silver, the welding parameters of the workpiece to be welded are determined by the parameter determination model based on the feature information of the workpiece to be welded and the reference size-reference current mapping pair corresponding to silver.

[0078] In the technical solution of this application embodiment, by establishing corresponding reference size-reference current mapping pairs for various preset materials, the welding parameters of the workpiece to be welded are determined based on the reference size-reference current mapping pairs corresponding to the preset materials that are consistent with the material information of the workpiece to be welded, thereby improving the accuracy of the welding parameters.

[0079] In some embodiments, the method for constructing the parameter determination model is as follows.

[0080] Specifically, according to Maxwell's electromagnetic theory, the magnetic pressure P acting on the surface of the flying plate...m As shown in Formula 1.

[0081] (Formula 1)

[0082] (Formula 2)

[0083] In the formula: P m B represents the magnetic pressure on the surface of the flyboard; B represents the magnetic induction intensity generated by the coil on the flyboard; μ0 represents the free permeability, which is the magnetic field constant, μ0 = 4π × 10⁻⁶. 7 ;K m represents the coil constant; I represents the discharge current of the coil.

[0084] Based on Formulas 1 and 2 above, the magnetic pressure P acting on the flyboard can be determined. m It is positively correlated with the discharge current I, that is, P m ∝I 2 .

[0085] According to the law of conservation of energy, the flying board must reach the critical collision velocity V. c The minimum kinetic energy required is shown in Equation 3.

[0086] (Formula 3)

[0087] In the formula: E k The minimum kinetic energy of the flyboard collision is represented by m; m represents the mass of the flyboard, m = ρ. A T f ρ represents the material density of the flyboard, A represents the effective area of ​​the magnetic pressure, and T f The thickness of the flyboard is represented by v. c This indicates the critical collision velocity of the flyboard.

[0088] The work W done by the magnetic pressure acting on the flyboard over the acceleration distance s is shown in Equation 4.

[0089] W=P m ×A×s (Formula 4)

[0090] According to the law of conservation of energy, W=E k Formula 5 can be obtained by using formulas 3 and 4.

[0091] (Formula 5)

[0092] The magnetic pressure P of the flying plate can be obtained from Formula 5. m With respect to the thickness T of the flyboard f There is a positive correlation between them, i.e., P m ∝T f.

[0093] According to the magnetic pressure P of the flying plate m Positive correlation between P and discharge current I m ∝I 2 And the magnetic pressure P of the flying plate m With respect to the thickness T of the flyboard f Positive correlation between P m ∝T f The discharge current I and the thickness T of the flyboard were obtained. f The nonlinear mapping relationship between them, i.e. Specifically, the discharge current I is related to the thickness T of the flyboard. f The relationship between them is monotonically increasing and non-linear.

[0094] In one embodiment, based on the discharge current I and the thickness T of the flyboard f The nonlinear mapping relationship between them is used to construct a parameter determination model.

[0095] In one specific embodiment, based on the discharge current I and the thickness T of the flyboard f A parameter determination model is constructed based on the monotonically increasing nonlinear relationship between the current and thickness. That is, the parameter determination model is used to characterize the current as a monotonically increasing nonlinear function of thickness.

[0096] Electromagnetic pulse welding of workpieces and welding of fly plates of different thicknesses mainly depends on the setting of the discharge current. The parameter determination model provides a theoretical basis for determining the welding parameters of fly plates of different thicknesses, and can achieve efficient and accurate prediction of welding parameters while ensuring the welding quality of the workpieces.

[0097] Please see Figure 2 , Figure 2 This is a flowchart illustrating a specific embodiment of step S2 in the electromagnetic welding method provided in this application.

[0098] In one specific embodiment, the step S2, in which the parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece, is specifically as follows.

[0099] S21: Determine the adjustment factor by using the parameter-based model based on the thickness data of the workpiece to be welded and the reference thickness.

[0100] S22: The reference current is nonlinearly adjusted based on the adjustment factor to determine the welding current of the workpiece to be welded.

[0101] In the technical solution of this application embodiment, the adjustment factor is determined by the parameter determination model based on the thickness data of the workpiece to be welded and the reference thickness, and the reference current is nonlinearly adjusted based on the adjustment factor to improve the prediction accuracy of the welding current.

[0102] In some embodiments, the specific implementation of determining the adjustment factor based on the thickness data of the workpiece to be welded and the reference thickness in step S21 is as follows.

[0103] The square root of the ratio between the thickness data of the workpiece to be welded and the reference thickness is used as the adjustment factor.

[0104] In the technical solution of this application embodiment, by using the square root of the ratio between the thickness data of the workpiece to be welded and the reference thickness as an adjustment factor, the accuracy of the adjustment factor is improved, which helps to improve the accuracy of the welding parameters of the workpiece to be welded.

[0105] In some embodiments, the specific implementation of step S22, which involves nonlinearly adjusting the reference current based on an adjustment factor to determine the welding current of the workpiece to be welded, is shown below.

[0106] The product of the adjustment factor and the reference current is used as the welding current for the workpiece to be welded.

[0107] In the technical solution of this application embodiment, the accuracy of the welding parameters of the workpiece to be welded is improved by using the product of the adjustment factor and the reference current as the welding current of the workpiece to be welded.

[0108] In one specific embodiment, when the material information of the flyboard in the workpiece to be welded is copper, the thickness data of the flyboard in the workpiece to be welded is input into the parameter determination model. The parameter determination model compares the material information of the flyboard with each preset material in the reference data group, and selects the reference size-reference current mapping pair corresponding to the preset material copper. That is, when the reference thickness corresponding to copper is 2mm, a reference current of 150kA is required to connect a 2mm thick flyboard to the substrate. If the thickness data of the flyboard in the workpiece to be welded is 4mm, then... It can be obtained The adjustment factor is obtained based on the square root of the ratio between the thickness data of the workpiece to be welded and the reference thickness. The adjustment factor is approximately 1.414. The welding current I2 of the workpiece to be welded is calculated as I2 = 150kA × 1.414 = 212.1kA based on the product of the adjustment factor and the reference current. In other words, to perform electromagnetic pulse welding on a 4mm thick flyer plate and a base plate, a welding current of 212.1kA is required for the electromagnetic pulse equipment to connect the flyer plate and the base plate.

[0109] In some embodiments, a parameter determination model determines the initial welding parameters of the workpiece to be welded based on its feature information; the initial welding parameters are then corrected based on a preset percentage to obtain the final welding parameters of the workpiece. The preset percentage can be ±5%, ±3%, ±1%, etc.

[0110] In the technical solution of this application embodiment, the initial welding parameters are corrected by a preset percentage of the initial welding parameters, thereby further improving the accuracy of the welding parameters of the workpiece to be welded.

[0111] In some embodiments, the electromagnetic pulse welding operation performed on the flyboard and the substrate based on the welding parameters of the workpiece to be welded in step S3 specifically includes the following implementation methods.

[0112] Specifically, the welding current of the workpiece to be welded is controlled by an electromagnetic pulse device to perform electromagnetic pulse welding on the fly plate and the base plate to achieve the connection between the fly plate and the base plate.

[0113] Please see Figure 3 , Figure 3 This is a schematic diagram of the framework of an embodiment of the electromagnetic welding apparatus provided in this application.

[0114] This embodiment provides an electromagnetic welding device 60, which includes an acquisition module 61, a determination module 62, and a welding module 63.

[0115] The acquisition module 61 is used to acquire feature information of the workpiece to be welded; the workpiece to be welded includes at least a fly plate and a base plate; the workpiece to be welded is a conductive material.

[0116] The determination module 62 is used to determine the welding parameters of the workpiece to be welded based on the feature information of the workpiece through the parameter determination model; the parameter determination model is used to characterize the nonlinear mapping relationship between the feature information and the welding parameters.

[0117] Welding module 63 is used to perform electromagnetic pulse welding operations on flyplate and substrate based on the welding parameters of the workpiece to be welded.

[0118] The electromagnetic welding device provided in this embodiment can accurately map the nonlinear mapping relationship between feature information and welding parameters through the parameter determination model. Based on the feature information of the workpiece to be welded, the welding parameters of the workpiece to be welded can be quickly determined through the parameter determination model, realizing efficient and accurate prediction of the welding parameters of workpieces with different feature information. This eliminates the dependence on experimental trial and error and helps to improve welding efficiency.

[0119] Please see Figure 4 , Figure 4This is a schematic diagram of a framework of an embodiment of the electronic terminal provided in this application. The electronic terminal 80 includes a memory 81 and a processor 82 coupled to each other. The processor 82 is used to execute program instructions stored in the memory 81 to implement the steps of any of the above-described electromagnetic welding method embodiments. In a specific implementation scenario, the electronic terminal 80 may include, but is not limited to, a microcomputer or a server. In addition, the electronic terminal 80 may also include mobile devices such as laptops and tablets, which are not limited here.

[0120] Specifically, processor 82 controls itself and memory 81 to implement the steps of any of the above-described electromagnetic welding method embodiments. Processor 82 can also be referred to as a CPU (Central Processing Unit). Processor 82 may be an integrated circuit chip with signal processing capabilities. Processor 82 can also be a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor. Furthermore, processor 82 can be implemented using integrated circuit chips.

[0121] Please see Figure 5 , Figure 5 This is a schematic diagram of a framework of an embodiment of the computer-readable storage medium provided in this application. The computer-readable storage medium 90 stores program instructions 901 that can be executed by a processor. The program instructions 901 are used to implement the steps of any of the above-described electromagnetic welding method embodiments.

[0122] In some embodiments, the functions or modules of the apparatus provided in this disclosure can be used to perform the methods described in the above method embodiments. The specific implementation can be referred to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0123] The description of the various embodiments above tends to emphasize the differences between the various embodiments. The similarities or similarities between them can be referred to, and for the sake of brevity, they will not be repeated here.

[0124] In the several embodiments provided in this application, it should be understood that the disclosed methods and apparatus can be implemented in other ways. For example, the apparatus implementations described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0125] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0126] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it 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 all or part 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.) or processor to execute all or part of the steps of the methods of various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0127] The above are merely embodiments of this application and do not limit the scope of patent protection of this application. Any equivalent structural or procedural changes made using the content of this application’s specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of this application.

Claims

1. An electromagnetic welding method, characterized in that, The electromagnetic welding method includes: Obtain feature information of the workpiece to be welded; the workpiece to be welded includes at least a flyboard and a base plate; the workpiece to be welded is a conductive material; the feature information of the workpiece to be welded includes at least the thickness data of the flyboard; The parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece; the parameter determination model is used to characterize the nonlinear mapping relationship between the feature information and the welding parameters; wherein, the parameter determination model is used to characterize the current as a monotonically increasing nonlinear function of the thickness; the welding parameters include the welding current; Based on the welding parameters of the workpiece to be welded, electromagnetic pulse welding is performed on the fly plate and the substrate; The electromagnetic welding method further includes: A reference data set is pre-constructed, the reference data set including reference size-reference current mapping pairs; the reference size includes reference thickness. The step of determining the welding parameters of the workpiece to be welded based on the feature information of the workpiece and the reference data set by the parameter determination model includes: The adjustment factor is determined by using the parameters to determine the model based on the thickness data of the flyboard and the reference thickness; The welding current of the flyplate is determined by nonlinearly adjusting the reference current based on the adjustment factor.

2. The electromagnetic welding method according to claim 1, characterized in that, The step of determining the welding parameters of the workpiece to be welded based on the feature information of the workpiece using the parameter determination model includes: The parameter determination model determines the welding parameters of the workpiece to be welded based on the feature information of the workpiece and the reference data set.

3. The electromagnetic welding method according to claim 2, characterized in that, The reference data set includes various preset material-reference size-reference current mapping pairs; the feature information also includes material information. The step of determining the welding parameters of the workpiece to be welded based on the feature information of the workpiece and the reference data set by the parameter determination model includes: The material information of the workpiece to be welded is compared with each of the preset materials in the reference data group; In response to the fact that the material information of the workpiece to be welded is consistent with a preset material in the reference data set, the welding parameters of the workpiece to be welded are determined by the parameter determination model based on the feature information of the workpiece to be welded and the reference size-reference current mapping pair corresponding to the preset material.

4. The electromagnetic welding method according to claim 2, characterized in that, The determination of the adjustment factor based on the thickness data of the flyboard and the reference thickness includes: The square root of the ratio between the thickness data of the flyboard and the reference thickness is used as the adjustment factor.

5. The electromagnetic welding method according to claim 2, characterized in that, The step of nonlinearly adjusting the reference current based on the adjustment factor to determine the welding current of the flyplate includes: The product of the adjustment factor and the reference current is used as the welding current of the flyplate.

6. The electromagnetic welding method according to claim 1, characterized in that, The step of determining the welding parameters of the workpiece to be welded based on the feature information of the workpiece using the parameter determination model includes: The parameter determination model determines the initial welding parameters of the workpiece to be welded based on the feature information of the workpiece. The initial welding parameters are corrected based on a preset percentage of the initial welding parameters to obtain the welding parameters of the workpiece to be welded.

7. An electromagnetic welding apparatus, characterized in that, The electromagnetic welding device includes: An acquisition module is used to acquire feature information of a workpiece to be welded; the workpiece to be welded includes at least a flyboard and a base plate; the workpiece to be welded is a conductive material; the feature information of the workpiece to be welded includes at least the thickness data of the flyboard; A determination module is used to determine the welding parameters of the workpiece to be welded based on the feature information of the workpiece using a parameter determination model. The parameter determination model is used to characterize the nonlinear mapping relationship between the feature information and the welding parameters. Specifically, the parameter determination model characterizes the current as a monotonically increasing nonlinear function of the thickness. The welding parameters include the welding current. The module is also used to pre-construct a reference data set, which includes a reference size-reference current mapping pair. The reference size includes a reference thickness. Based on the thickness data of the flyplate and the reference thickness, the parameter determination model determines an adjustment factor. Based on the adjustment factor, the reference current is nonlinearly adjusted to determine the welding current of the flyplate. The welding module is used to perform electromagnetic pulse welding operations on the fly plate and the substrate based on the welding parameters of the workpiece to be welded.

8. An electronic terminal, characterized in that, The electronic terminal includes a memory, a processor, and a computer program stored in the memory and running on the processor, the processor being used to execute program data to implement the steps of the electromagnetic welding method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the electromagnetic welding method as described in any one of claims 1 to 6.

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