Vibration simulation method based on aluminum base material seam welding

Abstract

The invention provides a vibration simulation method based on aluminum base material seam welding, which comprises the following steps: firstly, performing MIG / MAG seam welding on aluminum materials with different marks and any shape according to lap joint, corner joint, T-shaped and butt joint modes, obtaining the welding nugget thickness and the heat affected zone range through a metallographic microscope, and dividing grids according to the geometry of a welding sample; and according to a metallographic scanning result, the whole welding joint is divided into three areas including a welding nugget, a heat affected zone and a base metal, and an MIG / MAG seam welding model is established. Through checking of a random vibration experiment with a real battery pack, the conclusion that the accuracy rate of the MIG / MAG seam welding simulation method with the aluminum alloy as the base material in the random vibration working condition can reach 90% can be obtained. Therefore, according to the method, the welding nugget grid can be quickly and conveniently generated in the finite element pretreatment software, and the material strength of the welding nugget is determined; and the heat affected zone range can be distinguished in batches and represented in the CAE model.

Description

Technical Field

[0001] The present application relates to the technical field of seam welding, and in particular to a vibration simulation method based on seam welding of an aluminum substrate. Background Art

[0002] With the increasing demand for lightweight in industries such as new energy vehicles and energy storage, aluminum and its alloys have been widely used in the manufacture of power and energy storage battery packs due to their advantages of low density and high specific strength. This has made MIG / MAG welding (metal inert gas shielded welding / metal active gas shielded welding) suitable for aluminum welding pay attention. MIG / MAG welding, as a mature welding technology, has the advantages of high welding efficiency, strong penetration ability, wide application range, good welding quality, and easy automation. It has become an excellent choice for large-scale aluminum alloy welding and can meet the requirements of aluminum battery pack box welding in terms of quality and efficiency. The strength of the MIG / MAG seam welding joint of the battery pack box has a significant impact on the structural strength of the entire battery pack. Therefore, in order to ensure the dustproof, waterproof and vibration-proof capabilities of the battery pack box for the cells / modules in the pack, the strength of the box welding joint must be ensured. As for the joint forms of the current battery pack box structure, there are mainly joint forms such as butt joint, lap joint, corner joint and T-shaped joint. These different joint forms are the key objects of investigation when the battery pack box vibrates.

[0003] In the early stage of battery pack development, there will be a lot of finite element simulation work to assist structural engineers in designing and developing battery packs that meet national standards and various usage scenarios. As far as random vibration fatigue required by national standards is concerned, the overall strength of the battery pack box mainly depends on the connection strength of the structure itself and the welded joints. Accurately simulating whether the MIG / MAG seam welding will fail / break during vibration is the focus of the simulation work. The existing finite element simulation methods for MIG / MAG welded joints mainly include the common node method, rigid unit connection method, beam unit connection method, and solid unit modeling method. Among them, the beam unit and rigid unit connection method have the characteristics of stress insensitivity and distortion. Although the common node method and solid unit modeling method can simulate the failure of the connection point, they cannot accurately simulate the inhomogeneity of the mechanical properties of this type of welded joint, especially in the heat affected zone where the high heat source of MIG / MAG seam welding causes the aluminum substrate to be affected by the high temperature of welding and the performance is reduced. The overall accuracy of the existing simulation methods is less than 50%, so with the widespread popularity of MIG / MAG welding in the aluminum box of battery packs, it is particularly important to develop a high-accuracy seam welding simulation method. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a vibration simulation method based on aluminum substrate seam welding, which is applicable to a variety of different grades of aluminum alloys and a finite element simulation method for MIG / MAG seam welding in different welding forms to solve the problem of low accuracy of existing CAE simulation of aluminum battery pack case seam welding.

[0005] In a first aspect, the present application proposes a vibration simulation method based on seam welding of an aluminum substrate, the method comprising: S1: Divide the mesh according to the welding sample geometry; S2: Use the built-in define connection function in the ANSA platform to create a seam weld connection line. In the connection manager interface, select the LASER-WELD-SHELL type to generate a row of shell unit meshes as weld cores for the seam weld connection line, and automatically modify the mesh nodes of the connected parent material so that the parent material and the weld core are connected at the same node. S3: According to the metallographic scanning results, the weld nugget unit generated by S2 is displayed separately, and a circle of grids around it is displayed, and two rows of grids in the parent material connected to the weld nugget are obtained, and the two rows of grids in the parent material are classified as the heat affected zone of the seam weld by assigning new attributes; according to the metallographic scanning results, the weld nugget thickness is calculated; S4: Establish a MIG / MAG seam welding model based on the divided weld core, heat affected zone and parent material.

[0006] Before step S1, the method further includes: According to the temperature change of the base material during welding, the raw material of the welding wire is heat treated, and then the heat-treated welding wire is made into a tensile specimen for tensile testing, and the mechanical properties of the material after heat treatment are obtained through a tensile machine; MIG / MAG seam welding is performed on base materials of different brands and arbitrary shapes in overlap, fillet, T-shape and butt joint modes, and the weld core thickness and heat affected zone range are obtained by metallographic microscope.

[0007] Among them, for all seam welds on the same part, their heat-affected zones are classified as the same attribute; The thickness given to the heat affected zone is consistent with that of the parent material; Reduce the strength of the heat affected zone to 60% of the base material.

[0008] According to the metallographic scanning results, the weld core thickness is calculated using the formula: H = (T1 + T2) / 2 + c; Wherein H is the weld core thickness, T1 is the thickness of the base material 1 of the seam weld connection, T2 is the thickness of the base material 2, and c is a constant, and the value range can be between 0.5-1.5.

[0009] Among them, according to the simulation condition setting and result reading form, the seam welding failure judgment criteria are formulated, specifically: In the ANSA platform, the random vibration analysis step of the MIG / MAG seam welding model is set, and the solution file is exported and submitted to the server for solution; Open the solved result file with a post-processing module or software to read the RMS Mises stress result; When the stress in the heat-affected zone of the weld is higher than the stress in the base material and the weld core, the 3σ criterion is used for risk assessment.

[0010] Among them, the RMS Mises stress result is: The RMS stress value of the heat-affected zone is multiplied by 3 times the coefficient to obtain an approximate 3σ result, and this 3σ stress is compared with the yield strength of the material * 60%. If the 3*RMS stress value does not exceed the yield strength * 60%, it is determined that the seam weld has no cracking risk, otherwise there is a cracking risk.

[0011] In a second aspect, the present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a control processor, a vibration simulation method based on seam welding of an aluminum substrate as described in the first aspect is implemented.

[0012] Compared with the prior art, this application has at least the following beneficial effects: After verification with the random vibration experiment of the physical battery pack, it can be found that the vibration simulation method based on the seam welding of the aluminum substrate described in this application simulates that there are 10 seam welds in the battery pack box with the risk of cracking, while the actual number of cracked seam welds in the battery pack is 11. Considering the possibility that the cracking of the seam weld will reduce the strength of the entire package structure and cause other seam welds to crack, and based on the vibration benchmarking results of a large number of different battery packs, it can be concluded that the present invention can make the simulation method of MIG / MAG seam welding with aluminum alloy as the substrate reach 90% accuracy in random vibration conditions. It can be seen that the present application can quickly and conveniently generate weld core meshes in finite element pre-processing software and determine the material strength of weld cores; it can distinguish the range of heat-affected zones in batches and characterize them in CAE models. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of a vibration simulation method based on seam welding of aluminum substrate shown in an embodiment of the present application.

[0014] Figure 2 It is the metallographic result of T-weld shown in the embodiment of the present application.

[0015] Figure 3 These are the overlap, corner, T-shaped and butt joint methods shown in the embodiments of the present application.

[0016] Figure 4 It is a partial detailed schematic diagram of the overlapping interface shown in the embodiment of the present application.

[0017] Figure 5 It is a comparison chart of simulation results shown in the embodiments of the present application and other modeling methods of seam welding and experimental results. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application. Embodiment 1:

[0019] like Figure 1 As shown, the present application proposes a vibration simulation method based on aluminum substrate seam welding, the method comprising: S1: Divide the mesh according to the welding sample geometry; S2: Use the built-in define connection function in the ANSA platform to create a seam weld connection line. In the connection manager interface, select the LASER-WELD-SHELL type to generate a row of shell unit meshes as weld cores for the seam weld connection line, and automatically modify the mesh nodes of the connected parent material so that the parent material and the weld core are connected at the same node. S3: According to the metallographic scanning results, the weld nugget unit generated by S2 is displayed separately, and a circle of grids around it is displayed, and two rows of grids in the parent material connected to the weld nugget are obtained, and the two rows of grids in the parent material are classified as the heat affected zone of the seam weld by assigning new attributes; according to the metallographic scanning results, the weld nugget thickness is calculated; S4: Establish a MIG / MAG seam welding model based on the divided weld core, heat affected zone and parent material.

[0020] Before step S1, the method further includes: According to the temperature change of the base material during welding, the raw material of the welding wire is heat treated, and then the heat-treated welding wire is made into a tensile specimen for tensile testing, and the mechanical properties of the material after heat treatment are obtained through a tensile machine.

[0021] Preferably, when the heat-treated welding wire is made into a tensile specimen for tensile testing, the center temperature during welding is as high as 1500-2000°C, and heating the welding wire material to this high temperature requires expensive equipment and professional operation. Therefore, in this embodiment, the welding wire can be welded on two thickened tensile specimens in a butt-jointed manner, and the welding distance is lengthened so that the fracture point during stretching is located on the weld body. By adopting the above method, a welding wire specimen equivalent to that after heat treatment can be quickly obtained, and the material properties of the welding wire after welding can be obtained through tensile testing. Because the aluminum used in the battery pack box is mostly 5 series and 6 series aluminum, the welding wire material is basically unified as 4043 aluminum alloy. Therefore, this method obtains the mechanical properties of the welding wire after welding, which can characterize the mechanical properties of the weld core after aluminum-aluminum welding.

[0022] For base materials of different grades and shapes, lap joints, corner joints, T-joints and butt joints (such as Figure 3 MIG / MAG seam welding was performed on the specimen (as shown in the figure), and the weld core thickness and heat affected zone range were obtained through a metallographic microscope.

[0023] Specifically, according to the design requirements of the battery pack box, any combination of base materials such as 6063T6-6082T6 materials are used as welding base materials for MIG / MAG seam welding in different forms such as lap joints, butt joints, T-shaped joints, and corner joints. The welded parts are cut with manual / automatic equipment, and then the cut samples are polished (if necessary), and the weld core thickness and heat-affected zone range are obtained through a metallographic microscope. The above method can be used to obtain the size of the heat-affected zone and the weld core thickness after MIN / MAG welding, providing a basis for the next step of constructing a seam welding CAE model.

[0024] Preferably, the range of the heat affected zone can be obtained simply and quickly by measuring the hardness change using a hardness testing device (Rockwell hardness tester / Vickers hardness tester). Although the specific value of the weld nugget height cannot be known, the approximate range of the weld height can also be obtained through engineering experience and databases.

[0025] In order to obtain more welding data, the welding combinations can be diversified. For example, the commonly used 5-series aluminum and 6-series aluminum welding, the cross-combination of 6-series aluminum with different grades and heat treatment methods, to obtain more welding data, understand the subtle differences between the heat-affected zone and the weld core of different aluminum materials under the same welding conditions, and improve modeling accuracy.

[0026] Before meshing the weld sample geometry, it is preferred that the 3D digital model of the part to be used be imported into the ANSA software for geometry cleanup, including: Start the ANSA software and create a new project or open an existing project; In ANSA, select the "Import" option and choose your 3D digital model from the file (usually files in STEP, IGES, CATIA, SolidWorks, etc. formats).

[0027] Import the 3D digital model of the part into the working environment through ANSA's import tool; Use the geometry checking tools provided by ANSA to check common geometric problems in your model, such as self-intersections, holes, overlapping faces, and non-closed bodies.

[0028] Make sure the model is closed without any discontinuous boundaries or holes Remove unnecessary details such as small holes, thin features, or assembly marks that may affect the quality of the mesh.

[0029] Focus on retaining geometric features that have an impact on welding simulation; Merge adjacent faces or volumes to reduce model complexity and simplify subsequent meshing.

[0030] Use the repair tools in ANSA to fix geometric defects, such as filling holes and repairing broken faces or boundaries; Smooth the geometry to remove unnecessary sharp corners or protrusions and ensure uniform meshing.

[0031] Divide the model into different areas according to the requirements of the welding area. The model can be divided into different parts as needed to facilitate subsequent meshing and attribute assignment.

[0032] Clarify the contact surfaces and boundary conditions between different components in the model to prepare for subsequent simulation settings; Before meshing, check the mesh generation settings to ensure that the density and quality of the mesh meet the requirements of the welding simulation.

[0033] Before meshing, assign the correct material properties and welding parameters to the model to ensure that these settings are correctly reflected in the mesh.

[0034] In this embodiment, the grid size can be 5 mm, so the grid size of the seam welding substrate / parent material is about 5 mm, which is mapped to the grid size of the entire battery pack body.

[0035] Through the above steps, we can ensure that the 3D digital model imported into ANSA is fully cleaned, thus laying a solid foundation for the subsequent meshing and welding simulation. A clean geometric model can not only improve the quality of meshing, but also improve the accuracy and efficiency of simulation.

[0036] After step S3, the method further includes: For all seam welds on the same part, the heat affected zone is classified as the same property; wherein the properties at least include: material properties, geometric properties, mesh properties, boundary properties, load conditions, welding properties, heat affected zone properties, etc.

[0037] The thickness given to the heat affected zone is consistent with that of the parent material; Reduce the strength of the heat affected zone to 60% of the base material.

[0038] Since the strength of the heat-affected zone is reduced due to the high welding temperature, in this embodiment, it is more reliable to reduce the strength of the heat-affected zone to 60% of the base material, that is, the elastic stage remains unchanged and the stress of the elastic-plastic curve is reduced to 60%.

[0039] For example, in the above example, the base material is 6063T6-6082T6 seam welding. The thickness of the seam weld heat affected zone on the part with a thickness of 3mm of 6063T6 is 3mm, and the material is 60% of the strength of 6063T6. The thickness of the seam weld heat affected zone on the part with a thickness of 4mm of 6082T6 is 4mm, and the material is 60% of the strength of 6082T6.

[0040] By adopting the above method, the common node shell element weld core of seam welding can be established in batches, and the heat affected zone of reasonable size can be divided in large quantities and quickly, while taking into account the overall grid size, and taking into account the calculation accuracy under the premise of ensuring the calculation resources. In addition, the parent material can also be a solid element, that is, the parent material of the shell element and the solid element can use this common node shell element as the weld core and divide the heat affected zone to simulate the seam welding connection.

[0041] According to the metallographic scanning results, the weld core thickness is calculated. The actual height of the weld core is the shell element thickness. Since the weld core is connected by the common nodes of the shell elements, it will not interfere with the heat affected zone grid and affect the stress transfer. Figure 2 The metallographic result of a T-weld shows that the effective thickness of the weld nugget is 4.6 mm. In addition to the limited metallographic results of this study, the approximate weld nugget height can also be obtained from the engineering experience of institutions with metallographic inspection capabilities and welding professionals, and the calculation rules for the weld nugget thickness can be obtained. For example, the weld nugget thickness can be estimated according to the following formula Preferably, the weld nugget thickness is calculated using the formula: H = (T1 + T2) / 2 + c; Wherein H is the weld core thickness, T1 is the thickness of the base material 1 of the seam weld connection, T2 is the thickness of the base material 2, and c is a constant, and the value range can be between 0.5-1.5.

[0042] like Figure 4 As shown, (101) mid-surface mesh of parent material 1 (102) mid-surface mesh of parent material 2 (201) weld core shell element (202) heat affected zone of parent material 1 (203) heat affected zone of parent material 2.

[0043] Using the above method, the material and thickness of the weld core can be determined, all seam welds of the entire battery pack can be simulated, and then other steps required in the simulation condition can be continued, such as setting constraints and loads.

[0044] In this embodiment, the S4: establishing a MIG / MAG seam welding model in the ANSA platform according to the divided weld nugget, heat affected zone and parent material, the specific implementation process is as follows: Import the geometry model including the weld area, heat affected zone and parent material into ANSA; Check whether the imported geometry model is complete and ensure that there are no overlapping or missing parts; Based on the S1-S3 results, define the weld nugget area, define the heat affected zone, define the parent material area, set material properties, define boundary conditions and loads, and select the appropriate analysis type according to the analysis requirements, such as static analysis, thermal analysis, fatigue analysis, etc. In ANSA, export the model to a file format that the solver can recognize (such as .dat, .inp, etc.), and ensure that the exported file contains all the necessary information and settings for analysis in the solver.

[0045] Among them, weld core material properties: set specific material properties for the weld core area, such as elastic modulus, density, Poisson's ratio, etc. of the welding material. Heat affected zone material properties: set the material properties of the heat affected zone according to actual conditions, including strength reduction, etc. Parent material properties: set the actual material properties for the parent material area to ensure that the data accurately reflects the performance of the parent material; set load: set load conditions for the model, including force, pressure, acceleration, etc.

[0046] Furthermore, according to the simulation condition settings and result reading form, the seam welding failure evaluation criteria are formulated, specifically: Load the MIG / MAG seam welding model in the ANSA platform, enter the analysis setting interface (usually under the "Solver" or "Analysis" menu), select the analysis type as "Random Response Analysis", and perform random vibration analysis steps on the MIG / MAG seam welding model, that is, set the frequency range and constraints of the random vibration analysis, including defining the start frequency, end frequency and frequency interval, input the power spectral density function (PSD) of the vibration load, and export the solution file to be solved by the server; Open the solved result file with a post-processing module or software and read the RMS Mises stress result; the RMS Mises stress result is: The RMS stress value of the heat-affected zone is multiplied by 3 times the coefficient to obtain an approximate 3σ result, and compared with the yield strength of the material * 60%. If the 3*RMS stress value does not exceed the yield strength * 60%, it is determined that the seam weld has no cracking risk, otherwise there is a cracking risk.

[0047] The 3σ criterion is used for risk assessment.

[0048] For example, if the 3σ stress is less than the material yield, there is no risk of cracking. The material used in the heat-affected zone of the seam weld is 60% of the parent material strength, but the vibration calculation is a frequency domain calculation, which only considers elastic behavior and does not involve plastic strength. The material parameters of the heat-affected zone and the parent material in the model (Young's modulus, Poisson's ratio, density) are consistent, so the heat-affected zone is downgraded during post-processing, that is, the criterion for whether the seam weld cracks or not is that if the 3σ stress is less than 60% of the parent material yield, there is no risk.

[0049] like Figure 5 As shown, Figure 5 (1) is the result of seam weld cracking after a random vibration test of a battery pack, and the simulation result calculated by the present invention ( Figure 5 (2) shows that the RMS mises stress of the heat affected zone of this seam weld is indeed greater than the yield strength of the parent material * 1 / 3 * 60% (43MPa), so it can be judged that this seam weld has a risk of cracking. Figure 5 (3) In this case, the stress result obtained by RBE3-SPRING-RBE3 is too low to be considered as a risk of cracking.

[0050] After verification with the random vibration experiment of the actual battery pack, it was found that the simulation method of the seam welding simulated that a battery pack box had 10 seam welds with the risk of cracking, while the actual number of cracked seam welds in the battery pack was 11. Taking into account the possibility that the cracking of the seam welds would reduce the structural strength of the entire pack and thus cause other seam welds to crack, and based on the vibration benchmarking results of a large number of different battery packs, it can be concluded that the simulation method of the present invention can make the accuracy of the MIG / MAG seam welding of aluminum alloy as the substrate reach 90% in random vibration conditions. Embodiment 2:

[0051] The present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed by a control processor, a vibration simulation method based on seam welding of an aluminum substrate as described in the first aspect is implemented.

[0052] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0053] If the function is implemented in the form of a software function module 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 the present application can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for an electronic device to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

[0054] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present application in detail. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the scope of protection of the present application. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A vibration simulation method based on aluminum substrate seam welding, characterized in that: The method comprises: S1: Divide the mesh according to the welding sample geometry; S2: Use the built-in define connection function in the ANSA platform to create a seam weld connection line. In the connection manager interface, select the LASER-WELD-SHELL type to generate a row of shell unit meshes as weld cores for the seam weld connection line, and automatically modify the mesh nodes of the connected parent material so that the parent material and the weld core are connected at the same node. S3: According to the metallographic scanning results, the weld nugget unit generated by S2 is displayed separately, and a circle of grids around it is displayed, and two rows of grids in the parent material connected to the weld nugget are obtained, and the two rows of grids in the parent material are classified as the heat affected zone of the seam weld by assigning new attributes; according to the metallographic scanning results, the weld nugget thickness is calculated; S4: Establish a MIG / MAG seam welding model based on the divided weld core, heat affected zone and parent material.

2. A vibration simulation method based on aluminum substrate seam welding according to claim 1, characterized in that: Before step S1, the method further includes: According to the temperature change of the base material during welding, the raw material of the welding wire is heat treated, and then the heat-treated welding wire is made into a tensile specimen for tensile testing, and the mechanical properties of the material after heat treatment are obtained through a tensile machine.

3. A vibration simulation method based on aluminum substrate seam welding according to claim 2, characterized in that: Before step S1, the method further includes: MIG / MAG seam welding is performed on base materials of different brands and arbitrary shapes in overlap, fillet, T-shape and butt joint modes, and the weld core thickness and heat affected zone range are obtained by metallographic microscope.

4. A vibration simulation method based on aluminum substrate seam welding according to claim 3, characterized in that: For all seam welds on the same part, the heat affected zone is assigned the same property; The thickness given to the heat affected zone is consistent with that of the parent material; Reduce the strength of the heat affected zone to 60% of the base material.

5. A vibration simulation method based on aluminum substrate seam welding according to claim 4, characterized in that: The method further comprises: According to the metallographic scanning results, the weld core thickness is calculated using the formula: H = (T1 + T2) / 2 + c; Wherein, H is the weld core thickness, T1 is the thickness of the base material 1 of the seam weld connection, T2 is the thickness of the base material 2, and c is a constant, and the value range can be between 0.5-1.

5.

6. A vibration simulation method based on aluminum substrate seam welding according to claim 5, characterized in that: The method further includes: formulating seam welding failure evaluation criteria according to the simulation working condition settings and result reading forms, specifically: In the ANSA platform, the random vibration analysis step of the MIG / MAG seam welding model is set, and the solution file is exported and submitted to the server for solution; Open the solved result file with a post-processing module or software, read the RMS Mises stress result, and use the 3σ criterion to make risk judgments.

7. A vibration simulation method based on aluminum substrate seam welding according to claim 6, characterized in that: The method further includes: the RMS Mises stress result is: The RMS stress value of the heat-affected zone is multiplied by 3 times the coefficient to obtain an approximate 3σ result, and this 3σ stress is compared with the yield strength of the material * 60%. If the 3*RMS stress value does not exceed the yield strength * 60%, it is determined that the seam weld has no cracking risk, otherwise there is a cracking risk.

8. A computer storage medium, wherein the computer readable storage medium stores computer executable instructions, characterized in that: When the computer executable instructions are executed by the control processor, a vibration simulation method based on aluminum substrate seam welding as described in any one of claims 1 to 8 is implemented.

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