Temperature field simulation method for stitch welding of stainless steel flat plates and related equipment

Abstract

The invention provides a temperature field simulation method and related equipment for stitch welding of stainless steel flat plates, and the method comprises the steps that stitch welding parameters specified by the stainless steel flat plates are obtained, and the stitch welding parameters comprise the stitch welding layer number, the flat plate thickness of each layer and the stitch welding track; according to the stitch welding layer number and the flat plate thickness of each layer, a plurality of stainless steel flat plate models arranged in a stacked mode are generated; generating a laser model corresponding to the stainless steel flat plate; according to the stitch welding track, the laser model is controlled to move relative to the multiple stainless steel flat plate models arranged in the stacked mode so as to simulate laser stitch welding of the multiple stainless steel flat plate models arranged in the stacked mode; in the process of simulating laser stitch welding of the multiple stainless steel flat plate models arranged in the stacked mode, transient thermal analysis data of the multiple stainless steel flat plate models arranged in the stacked mode are determined; and based on the transient thermal analysis data, generating a simulated temperature field of the plurality of stainless steel flat plate models which are arranged in a stacked manner. The temperature field simulation of the stitch welding of the stainless steel flat plate can be more accurate and efficient.

Description

Technical Field

[0001] The present application relates to the field of laser welding technology, and in particular to a temperature field simulation method and related equipment for stainless steel flat plate lap welding. Background Art

[0002] In the field of modern industrial manufacturing, stainless steel is widely used in chemical, petroleum, food processing, medical equipment, aerospace and other industries due to its excellent corrosion resistance, high strength and good processing performance. With the development of industrial technology, the connection quality requirements for stainless steel structures are getting higher and higher. Laser welding, as an efficient and precise connection technology, has become one of the preferred methods for connecting stainless steel materials.

[0003] For stainless steel flat plate stack welding, that is, the superposition welding of two or more layers of stainless steel flat plates, temperature control during the welding process is particularly critical.

[0004] However, in the related art, real experiments are usually used to simulate the temperature field during the lap welding process of stainless steel plates. This method will make the simulation cost of the temperature field too high, the cycle too long, and not accurate enough. Summary of the invention

[0005] The present application provides a temperature field simulation method and related equipment for stainless steel flat plate lap welding, aiming to make the temperature field simulation of stainless steel flat plate lap welding more accurate and efficient.

[0006] On the one hand, the present application provides a temperature field simulation method for stainless steel flat plate stitch welding, the temperature field simulation method for stainless steel flat plate stitch welding comprising:

[0007] Obtaining the specified stitch welding parameters of the stainless steel plate, wherein the stitch welding parameters include the number of stitch welding layers, the thickness of each layer of the plate, and the stitch welding trajectory;

[0008] According to the number of stacked welding layers and the thickness of each layer of the flat plate, a plurality of stainless steel flat plate models arranged in a stacked manner are generated;

[0009] Generate the laser model corresponding to the stainless steel plate;

[0010] According to the stitch welding trajectory, controlling the laser model to move relative to the stacked multiple stainless steel flat plate models to simulate laser stitch welding of the stacked multiple stainless steel flat plate models;

[0011] Determining transient thermal analysis data of the plurality of stainless steel flat plate models stacked in a simulation process of laser stitch welding of the plurality of stainless steel flat plate models stacked in a simulation process;

[0012] Based on the transient thermal analysis data, a simulated temperature field of the stacked plurality of stainless steel plate models is generated.

[0013] In a possible implementation of the present application, generating a laser model corresponding to the stainless steel plate includes:

[0014] Obtaining the melting point of the stainless steel plate;

[0015] determining a laser power that matches the melting point;

[0016] According to the laser power, a laser model corresponding to the stainless steel plate is generated.

[0017] In a possible implementation of the present application, determining the laser power matching the melting point includes:

[0018] Obtaining the total thickness of the plurality of stainless steel plate models stacked in a stacked manner;

[0019] The laser power is determined to match the melting point and the total thickness of the slab.

[0020] In a possible implementation of the present application, determining the transient thermal analysis data of the plurality of stainless steel plate models stacked in a stacked arrangement includes:

[0021] In the plurality of stacked stainless steel plate models, determining a first region where a weld is located and a second region where the weld is not located;

[0022] Dividing the first region into a grid according to a first preset density, and dividing the second region into a grid according to a second preset density, to obtain a plurality of grid units, wherein the first preset density is greater than the second preset density;

[0023] Based on the transient thermal analysis processing of the plurality of grid cells, transient thermal analysis data of the plurality of stainless steel plate models in the stacked arrangement are determined.

[0024] In a possible implementation of the present application, controlling the laser model to move relative to the stacked multiple stainless steel plate models according to the stacked welding trajectory includes:

[0025] Determining a stacking area of ​​the plurality of stainless steel plate models among the plurality of stainless steel plate models stacked;

[0026] In the stacking area, the laser model is controlled to move relative to the stacked stainless steel plate models according to the stack welding trajectory to form the weld.

[0027] In a possible implementation of the present application, determining the transient thermal analysis data of the plurality of stainless steel plate models stacked in a stacked arrangement includes:

[0028] Obtain the stainless steel material category of the stainless steel plate;

[0029] Determine the stainless steel material properties corresponding to the stainless steel material category, wherein the stainless steel material properties include a correlation between a thermophysical property parameter of the stainless steel plate and a temperature of the stainless steel plate;

[0030] Based on the stainless steel material properties, transient thermal analysis data of the stacked plurality of stainless steel plate models are determined.

[0031] In a possible implementation of the present application, determining transient thermal analysis data of the stacked plurality of stainless steel plate models based on the stainless steel material properties includes:

[0032] Based on the thermophysical property parameters of the plurality of stainless steel flat plate models arranged in a stacked arrangement at a first simulation time point in the simulated laser stitch welding process, a transient thermal analysis process is performed on the plurality of stainless steel flat plate models arranged in a stacked arrangement to obtain first transient thermal analysis data of the plurality of stainless steel flat plate models arranged in a stacked arrangement at the first simulation time point;

[0033] Determining first simulation temperatures at a plurality of locations in the plurality of stacked stainless steel plate models at the first simulation time point based on the first transient thermal analysis data;

[0034] In the stainless steel material properties, the thermophysical parameters associated with the temperature of the stainless steel plate being the first simulation temperature are determined, and used as the thermophysical parameters of the corresponding positions in the stacked multiple stainless steel plate models at a second simulation time point in the simulated laser stitch welding process, wherein the second simulation time point is a simulation time point next to the first simulation time point;

[0035] Based on the thermophysical property parameters of corresponding positions in the multiple stainless steel flat plate models arranged in a stacked arrangement at the second simulation time point, transient thermal analysis processing is performed on the multiple stainless steel flat plate models arranged in a stacked arrangement to obtain second transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked arrangement at the second simulation time point, wherein the transient thermal analysis data includes the first transient thermal analysis data and the second transient thermal analysis data.

[0036] On the other hand, the present application provides a temperature field simulation system for stainless steel flat plate stitch welding, the temperature field simulation system for stainless steel flat plate stitch welding comprising:

[0037] A parameter acquisition unit, used to acquire the specified stitch welding parameters of the stainless steel plate, wherein the stitch welding parameters include the number of stitch welding layers, the thickness of each layer of the plate, and the stitch welding trajectory;

[0038] A first generating unit is used to generate a plurality of stainless steel plate models stacked according to the number of stack-welded layers and the plate thickness of each layer;

[0039] The second generating unit is used to generate a laser model corresponding to the stainless steel plate;

[0040] A stitch welding simulation unit, used for controlling the laser model to move relative to the stacked multiple stainless steel flat plate models according to the stitch welding trajectory, so as to simulate the laser stitch welding of the stacked multiple stainless steel flat plate models;

[0041] A data determination unit, used to determine transient thermal analysis data of the plurality of stainless steel flat plate models stacked in a simulation process of laser stitch welding of the plurality of stainless steel flat plate models stacked in a simulation process;

[0042] The third generating unit is used to generate a simulated temperature field of the plurality of stainless steel plate models stacked based on the transient thermal analysis data.

[0043] On the other hand, the present application also provides an electronic device, the electronic device comprising:

[0044] one or more processors;

[0045] Memory; and

[0046] One or more application programs, wherein the one or more application programs are stored in the memory and are configured to be executed by the processor to implement the above-mentioned temperature field simulation method for stainless steel flat plate stitch welding.

[0047] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is loaded by a processor to execute the steps in the above-mentioned temperature field simulation method for stainless steel flat plate stitch welding.

[0048] The embodiments of the present application provide a temperature field simulation method and related equipment for stack welding of stainless steel flat plates. The method comprises: obtaining stack welding parameters specified for the stainless steel flat plate, the stack welding parameters including the number of stack welding layers, the thickness of each layer and the stack welding trajectory; generating multiple stainless steel flat plate models arranged in a stacked manner according to the number of stack welding layers and the thickness of each layer; generating a laser model corresponding to the stainless steel flat plate; controlling the movement of the laser model relative to the multiple stainless steel flat plate models arranged in a stacked manner according to the stack welding trajectory to simulate laser stack welding of the multiple stainless steel flat plate models arranged in a stacked manner; in the process of simulating laser stack welding of the multiple stainless steel flat plate models arranged in a stacked manner, determining transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked manner; and generating a simulated temperature field of the multiple stainless steel flat plate models arranged in a stacked manner based on the transient thermal analysis data. The embodiment of the present application generates multiple stainless steel plate models arranged in a stacked arrangement according to the stack welding parameters specified for the stainless steel plate, and then controls the laser model to move relative to the multiple stainless steel plate models arranged in a stacked arrangement according to the stack welding trajectory to simulate laser stack welding. In the process of simulating laser stack welding, transient thermal analysis data of the multiple stainless steel plate models arranged in a stacked arrangement are determined, thereby generating a more accurate simulated temperature field of the multiple stainless steel plate models arranged in a stacked arrangement, thereby making the temperature field simulation of the stainless steel plate stack welding more accurate and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 It is a schematic flow chart of an embodiment of a temperature field simulation method for stainless steel flat plate stitch welding provided in an embodiment of the present application;

[0051] Figure 2 is a schematic diagram of mesh division of a plurality of stainless steel plate models stacked in layers provided in an embodiment of the present application;

[0052] Figure 3 It is a schematic diagram of a simulated temperature field on the surface of a plurality of stacked stainless steel flat plate models provided in an embodiment of the present application;

[0053] Figure 4 Schematic diagram of another simulated temperature field on the surface of multiple stainless steel flat plate models provided in a stacked arrangement in an embodiment of the present application

[0054] Figure 5 It is a schematic diagram of the structure of an embodiment of a temperature field simulation system for stainless steel flat plate stitch welding provided in an embodiment of the present application;

[0055] Figure 6 It is a schematic diagram of the structure of an embodiment of an electronic device provided in the embodiments of the present application.

[0056] in, Figure 3 and Figure 4 It is a color map, which uses different colors to represent different simulated temperatures in the simulated temperature field. DETAILED DESCRIPTION

[0057] 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 those skilled in the art without creative work are within the scope of protection of this application.

[0058] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0059] In this application, the term "in some embodiments of the present application" is used to mean "used as an example, illustration or description". Any embodiment described in this application as "in some embodiments of the present application" is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present application. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present application can be implemented without using these specific details. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0060] For the stack welding of stainless steel plates, that is, the superimposed welding of two or more layers of stainless steel plates, temperature control during the welding process is particularly critical, because the distribution of the temperature field directly affects the microstructure, mechanical properties and formation of welding defects of the welded joint. In order to accurately control the temperature field during the stack welding of stainless steel plates, it is necessary to simulate the temperature field during the stack welding of stainless steel plates, so as to guide the actual stack welding production of stainless steel plates, and then optimize the process parameters of the stack welding of stainless steel plates, predict welding defects and improve welding quality. To this end, the embodiments of the present application provide a temperature field simulation method and related equipment for stack welding of stainless steel plates, which are described in detail below.

[0061] First, a temperature field simulation method for stainless steel flat plate lap welding provided in an embodiment of the present application is introduced.

[0062] In the embodiment of the temperature field simulation method for stainless steel flat plate stitch welding of the present application, a temperature field simulation system for stainless steel flat plate stitch welding is used as the execution body. For the sake of simplicity and ease of description, the execution body will be omitted in the subsequent method embodiments.

[0063] See also Figure 1 , Figure 1 The present invention provides a flow chart of an embodiment of a temperature field simulation method for stainless steel flat plate stitch welding, which includes:

[0064] 101. Obtain the specified stitch welding parameters of the stainless steel plate, which include the number of stitch welding layers, the thickness of each layer of the plate, and the stitch welding trajectory.

[0065] In the embodiments of the present application, the stack welding parameters specified for the stainless steel flat plate refer to the parameters used to indicate how to stack weld the stainless steel flat plate, and the stack welding parameters can be set by the user based on actual needs. The number of stack welding layers in the stack welding parameters refers to the number of stacking layers when multiple stainless steel flat plates that need to be stack welded are stacked, that is, the number of stainless steel flat plates that need to be stack welded. The number of stack welding layers can be 2, for example. The plate thickness of each layer refers to the thickness of each layer of the stainless steel flat plate in the stacking direction. The thickness of the first layer of stainless steel flat plate can be, for example, 2 mm, and the thickness of the second layer of stainless steel flat plate can be, for example, 1 mm. The stack welding trajectory refers to the shape of the trajectory of the laser on the stainless steel flat plate during laser stack welding. The stack welding trajectory can be, for example, a line segment.

[0066] In some embodiments of the present application, the temperature field simulation of the stainless steel plate stitch welding can be implemented based on simulation software, and the simulation software can be, for example, Workbench, etc. Therefore, the stitch welding parameters can be manually input into the simulation software by the user as the stitch welding parameters specified for the stainless steel plate.

[0067] 102. Generate multiple stainless steel plate models in a stacked arrangement according to the number of stacked welding layers and the thickness of each layer.

[0068] In the embodiment of the present application, the stainless steel plate model is a three-dimensional model in a preset virtual space. A plurality of stainless steel plate models are generated according to the number of stacked welding layers, and then the plurality of stainless steel plate models are stacked and placed, and then the thickness of the corresponding layer of stainless steel plate model is set according to the thickness of each layer, thereby obtaining a plurality of stacked stainless steel plate models.

[0069] In some embodiments of the present application, the temperature field simulation of the stainless steel flat plate stitch welding can be implemented based on the simulation software. The simulation software provides a preset virtual space. Therefore, in the preset virtual space, multiple stainless steel flat plate models with stacked settings can be established according to the number of stitch welding layers and the thickness of each layer.

[0070] 103. Generate the laser model corresponding to the stainless steel plate.

[0071] In the embodiments of the present application, the laser model refers to the energy source used for laser welding. It is understandable that in order to simulate the temperature field during laser welding, a laser model corresponding to the stainless steel plate can also be generated in a preset virtual space, so that the laser model can be used to simulate laser welding of multiple stainless steel plate models stacked in the preset virtual space.

[0072] In some embodiments of the present application, in order to accurately simulate the effect of laser stitch welding, step 103 may include: obtaining the melting point of the stainless steel plate; determining the laser power that matches the melting point, the matching relationship between the melting point and the laser power can be obtained through preliminary experiments, and the matching relationship needs to ensure that the stainless steel plate can melt under the action of a laser with the laser power, and the laser power may be positively correlated with the melting point of the stainless steel plate; according to the laser power, generating a laser model corresponding to the stainless steel plate, that is, setting the laser power for the laser model, so that the laser model can accurately simulate the effect of laser stitch welding.

[0073] In some embodiments of the present application, determining the laser power that matches the melting point includes: obtaining the total thickness of the multiple stainless steel flat plate models stacked in a stacked arrangement; determining the laser power that matches the melting point and the total thickness of the flat plate. The matching relationship between the melting point, the total thickness of the flat plate and the laser power can be obtained through preliminary experiments. The matching relationship needs to ensure that under the action of the laser with the laser power, the multiple stainless steel flat plate models stacked in a stacked arrangement with the total thickness of the flat plate all melt in the thickness direction. The laser power can be positively correlated with the total thickness of the flat plate. It can be understood that when the total thickness of the flat plate is larger, in order to make the multiple stainless steel flat plate models stacked in a stacked arrangement with the total thickness of the flat plate all melt in the thickness direction, a laser with a larger laser power needs to be used for welding to achieve this.

[0074] In some embodiments of the present application, in order to accurately simulate the action of laser welding, generating a laser model corresponding to the stainless steel plate according to the laser power may include: substituting the laser power and the laser welding moving speed into a preset Gaussian rotating body heat source function to obtain the laser model corresponding to the stainless steel plate. The laser welding moving speed may be set by relevant personnel based on actual needs, and when at least one of the laser welding power and the laser welding moving speed is different, the laser model corresponding to the stainless steel plate is also different.

[0075] In some embodiments of the present application, substituting the laser power and the laser welding moving speed into a preset Gaussian rotating body heat source function to obtain a laser model corresponding to the stainless steel plate may include: obtaining the heat absorption rate of the stainless steel plate; substituting the heat absorption rate, the laser power and the laser welding moving speed into a preset Gaussian rotating body heat source function (for example, the product of the heat absorption rate and the laser power and the laser welding moving speed may be substituted into the preset Gaussian rotating body heat source function) to obtain the laser model corresponding to the stainless steel plate. The laser model corresponding to the stainless steel plate is determined according to the laser power, the laser welding moving speed and the heat absorption rate, that is, when at least one of the laser power, the laser welding moving speed and the heat absorption rate is different, the laser model corresponding to the stainless steel plate is also different.

[0076] In a further embodiment, the laser model corresponding to the stainless steel plate can also be determined according to at least one of the laser heat source radius and the laser heat source height, and the laser heat source radius and the laser heat source height can be set by the user based on the actual stitch welding process. For example, the Gaussian rotating body heat source function can be specifically:

[0077]

[0078] Where, e is the natural base; R0 is the radius of the laser heat source, H is the radius of the laser heat source; A is the heat absorption rate of the stainless steel plate (for example, the value can be 0.55), P is the laser welding power, c s is the heat energy concentration coefficient, x, y, z are the three-dimensional coordinates of the laser heat source, the three-dimensional coordinates change with the current time point t, and the amplitude of a single change is the product of the laser welding moving speed and the unit time length.

[0079] 104. According to the stitch welding trajectory, control the laser model to move relative to the multiple stainless steel plate models stacked together to simulate the laser stitch welding of the multiple stainless steel plate models stacked together.

[0080] In the embodiment of the present application, in order to simulate the action of laser stitch welding, the laser model can be controlled to move relative to the multiple stainless steel plate models stacked according to the stitch welding trajectory in the preset virtual space to simulate the laser stitch welding of the multiple stainless steel plate models stacked in the real space. The total simulation time can be, for example, 0.1 seconds to 10 seconds, and the time step can be, for example, 0.001 seconds to 0.1 seconds.

[0081] In some embodiments of the present application, controlling the laser model to move relative to a plurality of stainless steel flat plate models arranged in a stacked manner according to the stack welding trajectory may include: determining a stacking region of the plurality of stainless steel flat plate models in the stacked manner, the stacking region may be, for example, a region where the plurality of stainless steel flat plate models overlap each other in the stacking direction; in the stacking region, controlling the laser model to move relative to the plurality of stainless steel flat plate models arranged in a stacked manner according to the stack welding trajectory to form a weld. That is, by controlling the laser model to move in the stacking region according to the stack welding trajectory, the weld may connect the stacked portions of two adjacent stainless steel flat plate models, thereby connecting the plurality of stainless steel flat plate models arranged in a stacked manner to form a whole.

[0082] 105. In the simulation of laser welding of multiple stainless steel flat plate models arranged in a stacked manner, transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked manner are determined.

[0083] In the embodiments of the present application, transient thermal analysis data refers to temperature data obtained through transient thermal analysis processing, and may include, for example, simulated temperature values ​​at various positions in a plurality of stacked stainless steel plate models. Transient thermal analysis processing refers to an analysis method for calculating the temperature field of a plurality of stacked stainless steel plate models in a preset virtual space as it changes over time. Transient thermal analysis processing can be implemented based on the above-mentioned simulation software, and its specific principles are not described in detail here.

[0084] In some embodiments of the present application, in order to ensure that the physical properties of the multiple stainless steel plate models stacked are consistent with the physical properties of the multiple stainless steel plates stacked in real space, stainless steel material properties may be assigned to the multiple stainless steel plate models stacked. The stainless steel material properties include the correlation between the thermophysical parameters of the stainless steel plate and the temperature of the stainless steel plate, wherein the thermophysical parameters refer to physical parameters related to heat exchange, for example, may include at least one of density, thermal conductivity, and specific heat capacity.

[0085] The correlation between the thermophysical parameters of the stainless steel plate and the temperature of the stainless steel plate can be obtained through preliminary experiments. For example, the temperature of the stainless steel plate can be controlled, and the thermophysical parameters of the stainless steel plate at different temperatures can be tested to obtain the correlation between the thermophysical parameters and the temperature of the stainless steel plate. The correlation is shown in Table 1 below, which shows the density, thermal conductivity, and specific heat capacity of a stainless steel plate when the temperature is 25, 200, 400, 600, 800, 1000, 1200, and 1400°C.

[0086] Table 1

[0087]

[0088] It is understandable that in the process of simulating laser stitch welding, the temperature of the multiple stainless steel flat plate models stacked will change under the influence of the heat of the laser model, thereby changing the thermophysical parameters of the multiple stainless steel flat plate models stacked. Therefore, the stainless steel material properties can be used to take into account this change in the thermophysical parameters of the multiple stainless steel flat plate models stacked, so that the transient thermal analysis of the multiple stainless steel flat plate models stacked will also be based on the thermophysical parameters of the multiple stainless steel flat plate models after the changes, so that the temperature field simulation of the stainless steel flat plate stitch welding can be more accurate.

[0089] Therefore, determining the transient thermal analysis data of multiple stainless steel plate models in a stacked arrangement may include: obtaining the stainless steel material category of the stainless steel plate, such as 304, 316, 430 and other types of stainless steel materials; determining the stainless steel material properties corresponding to the stainless steel material category; and determining the transient thermal analysis data of the multiple stainless steel plate models in a stacked arrangement based on the stainless steel material properties.

[0090] In some embodiments of the present application, determining transient thermal analysis data of a plurality of stacked stainless steel flat plate models based on stainless steel material properties may include: performing transient thermal analysis processing on the plurality of stacked stainless steel flat plate models based on thermophysical property parameters of the plurality of stacked stainless steel flat plate models at a first simulation time point in a simulated laser stitch welding process to obtain first transient thermal analysis data of the plurality of stacked stainless steel flat plate models at the first simulation time point; determining first simulated temperatures at a plurality of locations in the plurality of stacked stainless steel flat plate models at the first simulation time point based on the first transient thermal analysis data; determining, in the stainless steel material properties, thermophysical property parameters associated with the temperature of the stainless steel plate when the temperature is the first simulation temperature, and As the thermophysical parameters of the corresponding positions in the multiple stainless steel flat plate models set up in a stacked arrangement at the second simulation time point in the simulated laser stitch welding process, wherein the second simulation time point is the next simulation time point of the first simulation time point; based on the thermophysical parameters of the corresponding positions in the multiple stainless steel flat plate models set up in a stacked arrangement at the second simulation time point, the multiple stainless steel flat plate models set up in a stacked arrangement are subjected to transient thermal analysis processing to obtain the second transient thermal analysis data of the multiple stainless steel flat plate models set up in a stacked arrangement at the second simulation time point, so as to comprehensively consider the thermophysical parameters of different positions in the multiple stainless steel flat plate models set up in a stacked arrangement, and obtain more accurate second transient thermal analysis data of the multiple stainless steel flat plate models set up in a stacked arrangement at the second simulation time point. Among them, the transient thermal analysis data of the multiple stainless steel flat plate models set up in a stacked arrangement include the first transient thermal analysis data and the second transient thermal analysis data.

[0091] In some embodiments of the present application, before step 105, it may also include: assigning a specified simulated ambient temperature (e.g., 22°C) to the preset virtual space, so as to determine the transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked manner under the simulated ambient temperature based on the stainless steel material properties, that is, when performing transient thermal analysis processing, the ambient temperature of laser stitch welding is also taken into account. For example, after assigning a specified simulated ambient temperature to the preset virtual space, it may also include: determining, in the stainless steel material properties, the thermophysical parameters associated with the temperature of the stainless steel flat plate when the simulated ambient temperature is used as the initial thermophysical parameters of the multiple stainless steel flat plate models arranged in a stacked manner. Taking the first simulation time point as the initial simulation time point in the simulated laser stitch welding process as an example, the initial thermophysical parameters of the multiple stainless steel flat plate models arranged in a stacked manner are the thermophysical parameters of the multiple stainless steel flat plate models arranged in a stacked manner at the first simulation time point.

[0092] In some embodiments of the present application, determining transient thermal analysis data of multiple stainless steel plate models arranged in a stacked arrangement may include: determining, in the multiple stainless steel plate models arranged in a stacked arrangement, a first area where a weld is located and a second area where the weld is not located; meshing the first area according to a first preset density, and meshing the second area according to a second preset density to obtain multiple mesh units, the first preset density being greater than the second preset density; and determining the transient thermal analysis data of the multiple stainless steel plate models arranged in a stacked arrangement based on transient thermal analysis processing of the multiple mesh units.

[0093] Specifically, transient thermal analysis processing can be performed based on the finite element analysis technology in the simulation software, that is, transient thermal analysis processing is performed through the finite element analysis technology. Finite element analysis refers to replacing complex problems with simpler problems and then solving them. It regards the solution domain as consisting of many small interconnected subdomains (i.e., grid units) called finite elements, assumes a suitable (simpler) approximate solution for each subdomain, and then derives the total satisfaction conditions (such as heat balance conditions) for solving this domain, thereby obtaining the solution to the problem (i.e., transient thermal analysis data of multiple stainless steel plate models stacked). Because the actual problem is replaced by a simpler problem, this solution is not an accurate solution, but an approximate solution. Since most actual problems are difficult to obtain accurate solutions, and finite elements not only have high calculation accuracy, but can also adapt to various complex shapes, it has become an effective engineering analysis method. Therefore, in the step of determining the transient thermal analysis data of multiple stainless steel plate models stacked, the multiple stainless steel plate models stacked can be divided into multiple grid units to facilitate finite element analysis.

[0094] After meshing, some grid cells are Figure 2As shown in . Since the focus of laser welding is the quality of the weld, the density of the mesh units in the first area can be controlled to be greater than the density of the mesh units in the second area during mesh division, so as to ensure that the first area with the weld can be subjected to a more refined finite element analysis, while the second area without the weld can be subjected to a more rough finite element analysis, thereby ensuring the accuracy of the temperature field simulation of the stainless steel plate weld while reducing unnecessary calculations in the finite element analysis, so that the temperature field simulation of the stainless steel plate weld is more accurate and efficient.

[0095] Among them, in the step of controlling the density of the grid units in the first region to be greater than the density of the grid units in the second region, this can be achieved by controlling at least one of the length, width, and area of ​​the grid units in the first region to be smaller than at least one of the corresponding length, width, and area of ​​the grid units in the second region. For example, the grid units in the first region can be divided into finer areas, while the grid units in the second region can be divided into coarser areas.

[0096] In some embodiments of the present application, in order to make the temperature field simulation of the stainless steel plate weld more accurate and efficient, the multiple stainless steel plate models arranged in a stacked manner also include a third region without a weld, and the distance between the third region and the weld is greater than the distance between the second region and the weld (that is, the third region is farther away from the weld than the second region, for example, the second region may be between the first region and the third region). The density of the grid cells in the second region is greater than the density of the grid cells in the third region, so that the density of the grid cells in different regions gradually decreases as the distance from the weld increases, that is, when meshing the multiple stainless steel plate models arranged in a stack, a transitional grid is used, which decreases step by step as the distance from the weld increases.

[0097] 106. Based on transient thermal analysis data, generate simulated temperature fields of multiple stacked stainless steel plate models.

[0098] In an embodiment of the present application, the simulated temperature field of the stacked multiple stainless steel flat plate models includes transient thermal analysis data of the stacked multiple stainless steel flat plate models at multiple different simulation time points, for example, it may include transient thermal analysis data of the stacked multiple stainless steel flat plate models at the first simulation time point, transient thermal analysis data of the stacked multiple stainless steel flat plate models at the second simulation time point, etc. The first simulation time point and the second simulation time point are both simulation time points in the simulated laser stitch welding process, and the second simulation time point is the next simulation time point of the first simulation time point. Therefore, based on the simulated temperature field, it is possible to know the simulated temperature values ​​of each position in the stacked multiple stainless steel flat plate models at multiple different simulation time points (for example Figure 3 and Figure 4The changes of temperature, heat affected zone and molten pool morphology during stainless steel flat plate stitch welding are analyzed to guide the actual stainless steel flat plate stitch welding production.

[0099] The temperature field simulation method for stainless steel flat plate stitch welding provided in the embodiment of the present application generates multiple stainless steel flat plate models arranged in a stacked manner according to the stitch welding parameters specified by the stainless steel flat plate, and then controls the laser model to move relative to the multiple stainless steel flat plate models arranged in a stacked manner according to the stitch welding trajectory to simulate laser stitch welding, and determines the transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked manner during the simulation of laser stitch welding, thereby generating a more accurate simulation temperature field of the multiple stainless steel flat plate models arranged in a stacked manner, making the temperature field simulation of stainless steel flat plate stitch welding more accurate and efficient. In addition, by predicting the temperature at different positions during the stitch welding of the stainless steel flat plate, the operation is simple and convenient, which greatly reduces the experimental time and cost, and provides theoretical guidance and technical support for accurately understanding the temperature field distribution law during the stitch welding of the stainless steel flat plate, and controlling the quality and performance of laser stitch welding.

[0100] The following is an example of a temperature field simulation method for stainless steel flat plate stitch welding provided in an embodiment of the present application, which may specifically include the following steps:

[0101] (1) Establishment of multiple stainless steel plate models stacked together

[0102] In the simulation software Workbench, a geometric model of two stainless steel plates stacked in the laser stitch welding process was established. The set sizes of the geometric models of the two stainless steel plates were 50×50×1mm and 50×50×2mm, respectively. The two geometric models were stacked to obtain multiple stainless steel plate models stacked.

[0103] (2) Setting of stainless steel material properties

[0104] In the simulation software Workbench, add a new material named stainless steel, and set the density, specific heat capacity, thermal conductivity and melting point of the material at different temperatures according to Table 1 above, and assign the stainless steel material properties to multiple stainless steel plate models in a stacked setting.

[0105] (3) Grid division

[0106] Reference Figure 2 , select the multiple stainless steel plate models in the stacked setting, set the unit size to 2mm, and then select the height ( Figure 2Select the edge line in the Z-axis direction in the XY plane, set the unit size to 0.5mm, then select the edge line parallel to the weld in the XY plane, set the unit size to 0.5mm, then select the edge line perpendicular to the weld in the XY plane, set the unit size to 1mm, and select offset, set the offset factor to 10, and the number of mesh elements and mesh nodes after division is 40,000 and 178,917 respectively.

[0107] (4) Establishment of laser model

[0108] Select the parameters of the Gaussian rotating body heat source function: the laser heat source radius is 0.0015mm, the heat absorption rate of the stainless steel plate is 0.6, the laser heat source height is 0.002mm, the laser welding power is 2000W, and the laser welding moving speed is 50mm / s. At this time, the formula of the laser model is:

[0109]

[0110] Where t is the simulation time point of the simulated laser stitch welding.

[0111] (5) Setting of simulated ambient temperature

[0112] A specified simulated environment temperature is assigned to the preset virtual space, and the simulated environment temperature may be 22°C.

[0113] (6) The total simulation time of the simulated laser welding is set to 1 second and the time step is set to 0.01 second. Then, transient thermal analysis is performed to obtain the simulated temperature field of multiple stainless steel plate models stacked in a stack. Figure 3 The transient thermal analysis data of the stacked multiple stainless steel flat plate models at a certain simulation time point are shown. It can be seen that the highest surface temperature of the stacked multiple stainless steel flat plate models is 2593.8°C. Figure 4 The transient thermal analysis data of the surfaces of multiple stacked stainless steel flat plate models at another simulation time point are shown.

[0114] It can be seen that the temperature field simulation method for stainless steel flat plate suture welding provided in the embodiment of the present application predicts the temperature distribution during stainless steel flat plate suture welding by accurate numerical simulation technology, so as to optimize the stainless steel flat plate suture welding process parameters and ensure the welding quality. The method uses finite element analysis technology to construct a three-dimensional transient temperature field model of stainless steel flat plate suture welding, which comprehensively considers the material properties of the stainless steel flat plate and the thermophysical properties during the laser suture welding process. By simulating the energy input of the laser beam, the Gaussian rotator heat source function is used, and the boundary conditions (such as ambient temperature, thermal convection and thermal radiation conditions) during the simulated laser suture welding process are set at the same time, and detailed meshing and transient thermal analysis are performed. The simulation results can analyze the key parameters such as temperature field distribution, maximum temperature, heat affected zone, etc. during the welding process, and the operation is simple and convenient, which greatly reduces the experimental time and cost. In addition, the method is suitable for stainless steel welding of different thicknesses and types, effectively predicts and controls the defects that may occur during the welding process, and has a wide range of industrial application potential.

[0115] In order to better implement the temperature field simulation method for stainless steel flat plate stitch welding in the embodiment of the present application, based on the temperature field simulation method for stainless steel flat plate stitch welding, the embodiment of the present application also provides a temperature field simulation system for stainless steel flat plate stitch welding, such as Figure 5 As shown, the temperature field simulation system 500 for stainless steel flat plate stitch welding includes:

[0116] A parameter acquisition unit 501 is used to acquire the specified stitch welding parameters of the stainless steel plate, wherein the stitch welding parameters include the number of stitch welding layers, the thickness of each layer of the plate, and the stitch welding trajectory;

[0117] The first generating unit 502 is used to generate a plurality of stainless steel plate models stacked according to the number of stacked welding layers and the thickness of each layer;

[0118] The second generating unit 503 is used to generate a laser model corresponding to the stainless steel plate;

[0119] The stitch welding simulation unit 504 is used to control the laser model to move relative to the multiple stainless steel plate models stacked according to the stitch welding trajectory, so as to simulate the laser stitch welding of the multiple stainless steel plate models stacked;

[0120] The data determination unit 505 is used to determine the transient thermal analysis data of the plurality of stainless steel flat plate models stacked in the process of simulating the laser stitch welding of the plurality of stainless steel flat plate models stacked;

[0121] The third generating unit 506 is used to generate a simulated temperature field of a plurality of stacked stainless steel plate models based on the transient thermal analysis data.

[0122] The temperature field simulation system for stainless steel flat plate stitch welding provided in the embodiment of the present application generates multiple stainless steel flat plate models arranged in a stacked arrangement according to the stitch welding parameters specified for the stainless steel flat plate, and then controls the laser model to move relative to the multiple stainless steel flat plate models arranged in a stacked arrangement according to the stitch welding trajectory to simulate laser stitch welding. In the process of simulating laser stitch welding, transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked arrangement are determined, thereby generating a more accurate simulated temperature field of the multiple stainless steel flat plate models arranged in a stacked arrangement, making the temperature field simulation of stainless steel flat plate stitch welding more accurate and efficient.

[0123] In some embodiments of the present application, the second generating unit 503 is further configured to:

[0124] Get the melting point of the stainless steel plate;

[0125] Determine the laser power that matches the melting point;

[0126] According to the laser power, the laser model corresponding to the stainless steel plate is generated.

[0127] In some embodiments of the present application, the second generating unit 503 is further configured to:

[0128] Obtain the total thickness of the plates of the multiple stainless steel plate models stacked in a stacked manner;

[0129] Determine the laser power that matches the melting point and the total thickness of the slab.

[0130] In some embodiments of the present application, the data determination unit 505 is further configured to:

[0131] In a plurality of stacked stainless steel plate models, determining a first region where a weld is located and a second region where the weld is not located;

[0132] Dividing the first area into grids according to a first preset density, and dividing the second area into grids according to a second preset density, to obtain a plurality of grid units, wherein the first preset density is greater than the second preset density;

[0133] Based on the transient thermal analysis processing of multiple grid cells, transient thermal analysis data of multiple stainless steel plate models arranged in a stacked manner are determined.

[0134] In some embodiments of the present application, the stitch welding simulation unit 504 is further used for:

[0135] Determining stacking areas of the plurality of stainless steel plate models among the plurality of stainless steel plate models stacked;

[0136] In the stacking area, according to the stack welding trajectory, the laser model is controlled to move relative to the multiple stainless steel plate models stacked to form a weld.

[0137] In some embodiments of the present application, the data determination unit 505 is further configured to:

[0138] Get the stainless steel material category of the stainless steel plate;

[0139] Determine the stainless steel material properties corresponding to the stainless steel material category, the stainless steel material properties including the correlation between the thermophysical property parameters of the stainless steel plate and the temperature of the stainless steel plate;

[0140] Determine transient thermal analysis data for multiple stainless steel plate models in a stacked arrangement based on the stainless steel material properties.

[0141] In some embodiments of the present application, the data determination unit 505 is further configured to:

[0142] Based on the thermophysical property parameters of the multiple stainless steel flat plate models arranged in a stacked manner at a first simulation time point in the simulated laser stitch welding process, a transient thermal analysis process is performed on the multiple stainless steel flat plate models arranged in a stacked manner to obtain first transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked manner at the first simulation time point;

[0143] Determining, based on the first transient thermal analysis data, a first simulation temperature at a first simulation time point at a plurality of locations in a plurality of stacked stainless steel plate models;

[0144] In the stainless steel material properties, the thermophysical parameters associated with the temperature of the stainless steel plate when it is the first simulation temperature are determined, and used as the thermophysical parameters of the corresponding positions in the stacked multiple stainless steel plate models at the second simulation time point in the simulated laser stitch welding process, wherein the second simulation time point is the next simulation time point of the first simulation time point;

[0145] Based on the thermophysical property parameters of corresponding positions in the multiple stainless steel flat plate models arranged in a stacked arrangement at a second simulation time point, transient thermal analysis processing is performed on the multiple stainless steel flat plate models arranged in a stacked arrangement to obtain second transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked arrangement at the second simulation time point, wherein the transient thermal analysis data includes first transient thermal analysis data and second transient thermal analysis data.

[0146] In addition to the temperature field simulation method for stainless steel flat plate stitch welding and the temperature field simulation system for stainless steel flat plate stitch welding described above, the embodiment of the present application further provides an electronic device, which integrates any temperature field simulation system for stainless steel flat plate stitch welding provided in the embodiment of the present application, and the electronic device includes:

[0147] one or more processors;

[0148] Memory; and

[0149] One or more applications, wherein the one or more applications are stored in the memory and are configured to execute, by the processor, any step in any embodiment of the temperature field simulation method for stainless steel flat plate stitch welding.

[0150] In some embodiments of the present application, Figure 6 As shown, it shows a schematic diagram of the structure of the electronic device involved in the embodiment of the present application, specifically:

[0151] The electronic device may include one or more processors 601 of processing cores, one or more computer-readable storage media storage units 602, a power supply 603, an input unit 604 and other components. Those skilled in the art will appreciate that Figure 6 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0152] The processor 601 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the storage unit 602 and calling data stored in the storage unit 602, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 601 may include one or more processing cores; preferably, the processor 601 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 601.

[0153] The storage unit 602 can be used to store software programs and modules. The processor 601 executes various functional applications and data processing by running the software programs and modules stored in the storage unit 602. The storage unit 602 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the storage unit 602 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the storage unit 602 may also include a memory controller to provide the processor 601 with access to the storage unit 602.

[0154] The electronic device also includes a power supply 603 for supplying power to each component. Preferably, the power supply 603 can be logically connected to the processor 601 through a power management system, so as to manage charging, discharging, power consumption and other functions through the power management system. The power supply 603 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0155] The electronic device may further include an input unit 604, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0156] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically, in the embodiment of the present application, the processor 601 in the electronic device will load the executable file corresponding to the process of one or more application programs into the storage unit 602 according to the following instructions, and the processor 601 will run the application program stored in the storage unit 602, thereby realizing various functions, such as:

[0157] The specified stitch welding parameters of the stainless steel plate are obtained, wherein the stitch welding parameters include the number of stitch welding layers, the plate thickness of each layer, and the stitch welding trajectory; according to the number of stitch welding layers and the plate thickness of each layer, a plurality of stainless steel plate models arranged in a stacked arrangement are generated; a laser model corresponding to the stainless steel plate is generated; according to the stitch welding trajectory, the laser model is controlled to move relative to the plurality of stainless steel plate models arranged in a stacked arrangement to simulate the laser stitch welding of the plurality of stainless steel plate models arranged in a stacked arrangement; in the process of simulating the laser stitch welding of the plurality of stainless steel plate models arranged in a stacked arrangement, transient thermal analysis data of the plurality of stainless steel plate models arranged in a stacked arrangement are determined; based on the transient thermal analysis data, a simulated temperature field of the plurality of stainless steel plate models arranged in a stacked arrangement is generated.

[0158] To this end, an embodiment of the present application provides a computer-readable storage medium, which may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. The computer-readable storage medium stores a plurality of instructions, which can be loaded by a processor to execute the steps of any one of the temperature field simulation methods for stainless steel plate stitch welding provided in the embodiment of the present application. For example, the instruction can execute the following steps:

[0159] The specified stitch welding parameters of the stainless steel plate are obtained, wherein the stitch welding parameters include the number of stitch welding layers, the plate thickness of each layer, and the stitch welding trajectory; according to the number of stitch welding layers and the plate thickness of each layer, a plurality of stainless steel plate models arranged in a stacked arrangement are generated; a laser model corresponding to the stainless steel plate is generated; according to the stitch welding trajectory, the laser model is controlled to move relative to the plurality of stainless steel plate models arranged in a stacked arrangement to simulate the laser stitch welding of the plurality of stainless steel plate models arranged in a stacked arrangement; in the process of simulating the laser stitch welding of the plurality of stainless steel plate models arranged in a stacked arrangement, transient thermal analysis data of the plurality of stainless steel plate models arranged in a stacked arrangement are determined; based on the transient thermal analysis data, a simulated temperature field of the plurality of stainless steel plate models arranged in a stacked arrangement is generated.

[0160] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0161] The above is a detailed introduction to a temperature field simulation method and related equipment for stainless steel flat plate lap welding provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A temperature field simulation method for stainless steel flat plate suture welding, characterized in that: The temperature field simulation method for stainless steel flat plate stitch welding includes: Obtaining the specified stitch welding parameters of the stainless steel plate, wherein the stitch welding parameters include the number of stitch welding layers, the thickness of each layer of the plate, and the stitch welding trajectory; According to the number of stacked welding layers and the thickness of each layer of the flat plate, a plurality of stainless steel flat plate models arranged in a stacked manner are generated; Generate the laser model corresponding to the stainless steel plate; According to the stitch welding trajectory, controlling the laser model to move relative to the plurality of stainless steel flat plate models stacked together to simulate laser stitch welding of the plurality of stainless steel flat plate models stacked together; Determining transient thermal analysis data of the plurality of stainless steel flat plate models stacked in a simulation process of laser stitch welding of the plurality of stainless steel flat plate models stacked in a simulation process; Based on the transient thermal analysis data, a simulated temperature field of the stacked plurality of stainless steel plate models is generated.

2. The temperature field simulation method for stainless steel flat plate stitch welding according to claim 1, characterized in that: The step of generating a laser model corresponding to the stainless steel plate includes: Obtaining the melting point of the stainless steel plate; determining a laser power that matches the melting point; According to the laser power, a laser model corresponding to the stainless steel plate is generated.

3. The temperature field simulation method for stainless steel flat plate stitch welding according to claim 2, characterized in that: The step of determining the laser power matching the melting point comprises: Obtaining the total thickness of the plurality of stainless steel plate models stacked in a stacked manner; The laser power is determined to match the melting point and the total thickness of the slab.

4. The temperature field simulation method for stainless steel flat plate stitch welding according to claim 1, characterized in that: The step of determining transient thermal analysis data of the plurality of stainless steel plate models in the stacked arrangement comprises: In the plurality of stacked stainless steel plate models, determining a first region where a weld is located and a second region where the weld is not located; Dividing the first region into a grid according to a first preset density, and dividing the second region into a grid according to a second preset density, to obtain a plurality of grid units, wherein the first preset density is greater than the second preset density; Based on the transient thermal analysis processing of the plurality of grid cells, transient thermal analysis data of the plurality of stainless steel plate models in the stacked arrangement are determined.

5. The temperature field simulation method for stainless steel flat plate stitch welding according to claim 4, characterized in that: According to the stack welding trajectory, controlling the laser model to move relative to the stacked multiple stainless steel plate models comprises: Determining a stacking area of ​​the plurality of stainless steel plate models among the plurality of stainless steel plate models stacked; In the stacking area, the laser model is controlled to move relative to the stacked stainless steel plate models according to the stack welding trajectory to form the weld.

6. The temperature field simulation method for stainless steel flat plate stitch welding according to claim 1, characterized in that: The step of determining transient thermal analysis data of the plurality of stainless steel plate models in the stacked arrangement comprises: Obtain the stainless steel material category of the stainless steel plate; Determine the stainless steel material properties corresponding to the stainless steel material category, wherein the stainless steel material properties include a correlation between a thermophysical property parameter of the stainless steel plate and a temperature of the stainless steel plate; Based on the stainless steel material properties, transient thermal analysis data of the stacked plurality of stainless steel plate models are determined.

7. The temperature field simulation method for stainless steel flat plate stitch welding according to claim 6, characterized in that: The step of determining transient thermal analysis data of the plurality of stainless steel plate models stacked based on the stainless steel material properties includes: Based on the thermophysical property parameters of the plurality of stainless steel flat plate models arranged in a stacked arrangement at a first simulation time point in the simulated laser stitch welding process, a transient thermal analysis process is performed on the plurality of stainless steel flat plate models arranged in a stacked arrangement to obtain first transient thermal analysis data of the plurality of stainless steel flat plate models arranged in a stacked arrangement at the first simulation time point; Determining first simulation temperatures at a plurality of locations in the plurality of stacked stainless steel plate models at the first simulation time point based on the first transient thermal analysis data; In the stainless steel material properties, the thermophysical parameters associated with the temperature of the stainless steel plate being the first simulation temperature are determined, and used as the thermophysical parameters of the corresponding positions in the stacked multiple stainless steel plate models at a second simulation time point in the simulated laser stitch welding process, wherein the second simulation time point is a simulation time point next to the first simulation time point; Based on the thermophysical property parameters of corresponding positions in the multiple stainless steel flat plate models arranged in a stacked arrangement at the second simulation time point, transient thermal analysis processing is performed on the multiple stainless steel flat plate models arranged in a stacked arrangement to obtain second transient thermal analysis data of the multiple stainless steel flat plate models arranged in a stacked arrangement at the second simulation time point, wherein the transient thermal analysis data includes the first transient thermal analysis data and the second transient thermal analysis data.

8. A temperature field simulation system for stainless steel flat plate lap welding, characterized in that: The temperature field simulation system for stainless steel flat plate stitch welding comprises: A parameter acquisition unit, used to acquire the specified stitch welding parameters of the stainless steel plate, wherein the stitch welding parameters include the number of stitch welding layers, the thickness of each layer of the plate, and the stitch welding trajectory; A first generating unit is used to generate a plurality of stainless steel plate models stacked according to the number of stack-welded layers and the plate thickness of each layer; The second generating unit is used to generate a laser model corresponding to the stainless steel plate; A stitch welding simulation unit, used for controlling the laser model to move relative to the stacked multiple stainless steel flat plate models according to the stitch welding trajectory, so as to simulate the laser stitch welding of the stacked multiple stainless steel flat plate models; A data determination unit, used to determine transient thermal analysis data of the plurality of stainless steel flat plate models stacked in a simulation process of laser stitch welding of the plurality of stainless steel flat plate models stacked in a simulation process; The third generating unit is used to generate a simulated temperature field of the plurality of stainless steel plate models stacked based on the transient thermal analysis data.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; Memory; and One or more application programs, wherein the one or more application programs are stored in the memory and are configured to be executed by the processor to implement the temperature field simulation method for stainless steel flat plate stitch welding according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program is loaded by a processor to execute the steps in the temperature field simulation method for stainless steel flat plate stitch welding according to any one of claims 1 to 7.

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