Laser welding heat source simulation optimization method and system based on numerical simulation

Abstract

The present invention relates to the field of laser welding simulation technology, a method and system for simulating and optimizing laser welding heat source based on numerical simulation, comprising: obtaining an adjustment interval of each simulation parameter in a simulation parameter to obtain multiple adjustment intervals, combining the multiple adjustment intervals to obtain multiple parameter combinations, obtaining a welding object set, extracting a parameter combination from the multiple parameter combinations in sequence, performing heat source simulation on a model grid set using the parameter combination to obtain multiple simulation results, evaluating each of the multiple simulation results, constructing a numerical simulation database with an optimal parameter combination, obtaining a target welding object, updating the numerical simulation database with an optimal parameter combination to obtain a latest simulation database, and completing numerical simulation-based laser welding heat source simulation optimization based on the latest simulation database. The present invention can improve the efficiency and accuracy of process parameter optimization.

Description

Technical Field

[0001] The present invention relates to the field of laser welding simulation technology, and in particular to a laser welding heat source simulation optimization method, system, electronic equipment and computer-readable storage medium based on numerical simulation. Background Art

[0002] Laser welding is an advanced welding technology that uses a high-energy laser beam as a heat source to melt the workpiece material and form a strong joint through local heating. Numerical simulation is a scientific computing technology that uses mathematical models and calculation methods to simulate and predict various phenomena and behaviors in physical or engineering problems. Numerical simulation can help researchers and engineers better understand and control the behavior of complex systems, optimize design solutions, and improve work efficiency.

[0003] Traditional laser welding process parameter optimization methods usually rely on experiments and experience. This method is not only time-consuming and labor-intensive, but also difficult to cover all possible process parameter combinations, resulting in limited optimization effects. At the same time, the amount of experimental data generated by traditional methods is large, manual recording and analysis of data are prone to errors, and it is difficult to perform complex statistical analysis. Therefore, how to improve the efficiency and accuracy of process parameter optimization is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present invention provides a laser welding heat source simulation optimization method based on numerical simulation and a computer-readable storage medium, the main purpose of which is to improve the efficiency and accuracy of process parameter optimization and reduce the cost and complexity in the production and optimization process.

[0005] To achieve the above object, the present invention provides a laser welding heat source simulation optimization method based on numerical simulation, comprising:

[0006] Determine simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter;

[0007] Acquire an adjustment interval of each simulation parameter in the simulation parameters to obtain a plurality of adjustment intervals, wherein the plurality of adjustment intervals include: a laser power interval, a welding speed interval, and a spot diameter interval;

[0008] Combining the multiple adjustment intervals to obtain multiple parameter combinations, obtaining a welding object set, and obtaining a model grid set according to the welding object set;

[0009] Extracting a parameter combination from the multiple parameter combinations in turn, importing the extracted parameter combination into a pre-built numerical simulation software, and using the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set, and obtaining multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data;

[0010] Evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm a maximum result evaluation value based on the multiple result evaluation values, confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination;

[0011] Obtain a target weld, perform heat source simulation on the target weld using an optimal parameter combination, and obtain an initial simulation result;

[0012] Determine whether there is a difference between the initial simulation result and the preset simulation result;

[0013] If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, the parameter combination corresponding to the initial simulation result is adjusted until there is no difference between the initial simulation result and the preset simulation result, and the optimal parameter combination is obtained, and the numerical simulation database is updated with the optimal parameter combination to obtain the latest simulation database;

[0014] Complete the optimization of laser welding heat source simulation based on numerical simulation based on the latest simulation database.

[0015] Optionally, the multiple adjustment intervals are combined to obtain multiple parameter combinations ， include:

[0016] An adjustment interval is extracted from the multiple adjustment intervals in sequence, and the following operations are performed on the extracted adjustment interval:

[0017] The extracted adjustment interval is divided to obtain a plurality of divided components, one divided component is extracted from the plurality of divided components in turn, and the following operations are performed on the extracted divided components:

[0018] Sort the extracted partition components to obtain sequence combinations, and calculate the data median of the sequence combinations;

[0019] Summarize the data medians to obtain a data median array;

[0020] The data median array is summarized to obtain a data median array set corresponding to multiple adjustment intervals, wherein the data median array set includes: a laser power median array, a welding speed median array and a spot diameter median array, and the data median array set is expressed as:

[0021]

[0022] in, Represents the median set of data, represents the laser power median array, represents the welding speed median array, represents the median array of spot diameters, Indicates The median of laser power data, Indicates The median of laser power data, Indicates the number of bits in the data array. Indicates The median welding speed, Indicates The median welding speed, Indicates The median spot diameter, Indicates The median spot diameter;

[0023] The data median array includes the laser power median array, the welding speed median array and the spot diameter median array, and the data is combined to obtain multiple parameter combinations, wherein the multiple parameter combinations are expressed as:

[0024]

[0025] in, Indicates multiple parameter combinations. Indicates The median of laser power data, Indicates The median welding speed, Indicates The median spot diameter.

[0026] Optionally, the extracted adjustment interval is divided to obtain a plurality of divided components, including:

[0027] The extracted adjustment interval is divided by using a preset division constant and a pre-constructed division point formula to obtain a plurality of division components, wherein the number of division components in the plurality of division components is the division constant plus 1;

[0028] The partition point formula is as follows:

[0029]

[0030] in, Indicates that in the adjustment interval The value of the partition point, Indicates the lower limit of the adjustment range. Indicates the upper limit of the adjustment range. represents the index of the partition point, Indicates the total number of partition components.

[0031] Optionally, acquiring a model grid set according to a welding object set comprises:

[0032] Extract each weld object from the weld object set one by one, and perform the following operations on the extracted weld objects:

[0033] Constructing a three-dimensional geometric model according to the welded object, and dividing the three-dimensional geometric model into a plurality of regions, wherein the plurality of regions include: a welding region, a transition region, and a remaining region;

[0034] Obtain mesh types corresponding to the welding area, transition area and remaining area, and obtain the welding mesh type, transition mesh type and remaining mesh type;

[0035] Refining the mesh of the welding area using pre-built finite element analysis software, preset refined mesh size and welding mesh type to obtain a refined mesh area;

[0036] Using finite element analysis software, preset transition mesh size and transition mesh type to mesh the transition area, and obtain a transition mesh area;

[0037] Using finite element analysis software, preset residual mesh size and residual mesh type to coarsen the mesh of the residual area to obtain a residual mesh area, wherein the residual mesh size is larger than the transition mesh size, and the transition mesh size is larger than the refined mesh size;

[0038] Determine whether there are undivided areas in the refined mesh area, transition mesh area and remaining mesh area;

[0039] If it is confirmed that there are undivided areas in the refined mesh area, the transition mesh area, and the remaining mesh area, the area type of the undivided area is determined, and the undivided area is divided according to the mesh size corresponding to the area type until there are no undivided areas in the refined mesh area, the transition mesh area, and the remaining mesh area;

[0040] Splicing the refined mesh area, transition mesh area and remaining mesh area to obtain the model mesh;

[0041] The model meshes are aggregated to obtain the model mesh set corresponding to the welding object set.

[0042] Optionally, the double ellipsoid heat source model is as follows:

[0043]

[0044] in, Indicates in space The heat flux density in the front half of the ellipsoid is Indicates in space The heat flux density of the rear hemi-ellipsoid is represents the energy distribution ratio of the front half ellipsoid, represents the energy distribution ratio of the rear half ellipsoid, represents the total welding energy input, represents the semi-axis length of the first half ellipse in the x direction, represents the semi-axis length of the second half ellipse in the x direction, represents the semi-axis length of the front half ellipsoid in the y direction, represents the semi-axis length of the front half ellipsoid in the z direction, represents the natural exponential function, with base e, Represents a constant Perform the square root operation, represents pi, represents the total heat flux density, represents the semi-axis length of the rear semi-ellipsoid in the y direction, It represents the semi-axis length of the rear semi-ellipsoid in the z direction.

[0045] Optionally, the heat source simulation of the model grid set is performed using the pre-built double ellipsoid heat source model and the parameter combination to obtain multiple simulation results corresponding to multiple parameter combinations, including:

[0046] Extract one model mesh from the model mesh set one by one, and perform the following operations on the extracted model mesh:

[0047] The heat source of the model grid is simulated using parameter combination and double ellipsoid heat source model to obtain temperature field data and stress-strain data;

[0048] Visualize temperature field data and obtain temperature curve;

[0049] Obtain historical temperature field data, visualize the historical temperature field data, and obtain a historical temperature curve, wherein the horizontal axis of the historical temperature curve is time, and the vertical axis of the historical temperature curve is temperature;

[0050] The root mean square error between the historical temperature curve and the temperature curve is calculated to obtain the curve coincidence degree, where the curve coincidence degree calculation formula is:

[0051]

[0052] in, represents the curve coincidence, The temperature curve data points, The historical temperature curve data points, represents the total number of data points, Represents an index variable;

[0053] Compare the curve overlap degree with the preset overlap threshold;

[0054] If it is confirmed that the curve overlap is less than the preset overlap threshold, return to the step of extracting one model grid from the model grid set in sequence until the curve overlap is greater than or equal to the preset overlap threshold, and calculate the equivalent stress value according to the stress-strain data;

[0055] The simulation results are confirmed based on the curve coincidence and the equivalent stress value, and the simulation results are summarized to obtain multiple simulation results corresponding to the model grid set.

[0056] Optionally, the step of evaluating each of the multiple simulation results to obtain multiple result evaluation values, determining a maximum result evaluation value based on the multiple result evaluation values, and determining the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination includes:

[0057] A simulation result parameter combination is extracted from the multiple simulation results in sequence, and the following operations are performed on the extracted simulation results:

[0058] Obtaining objective weights and subjective weights of the extracted simulation results, wherein the objective weights include: objective weights of curve coincidence and objective weights of stress-strain values, and the subjective weights include: subjective weights of curve coincidence and subjective weights of stress-strain values;

[0059] Obtain comprehensive weights based on objective weights and subjective weights;

[0060] Evaluating the simulation results using comprehensive weights to obtain result evaluation values;

[0061] Aggregating the result evaluation values ​​to obtain multiple result evaluation values;

[0062] A maximum result evaluation value among multiple result evaluation values ​​is obtained, and a parameter combination corresponding to the maximum result evaluation value is confirmed as an optimal parameter combination, wherein the optimal parameter combination is a parameter combination corresponding to the maximum result evaluation value calculated for the first time.

[0063] Optionally, obtaining the comprehensive weight according to the objective weight and the subjective weight includes:

[0064] Use pre-built comprehensive weight formulas, objective weights, and subjective weights to obtain comprehensive weights;

[0065] The comprehensive weight formula is as follows:

[0066]

[0067] in, represents the comprehensive weight, The coefficient representing the subjective weight, represents the subjective weight, represents the coefficient of objective weight, Indicates the number of parameter combinations, Indicates The normalized value of the parameter combination, represents the logarithmic function with base e, Represents an index, represents the number of criteria, Indicates The coefficient of variation.

[0068] Optionally, calculating the equivalent stress value according to the stress-strain data includes:

[0069] The equivalent stress value is calculated using the pre-built equivalent stress formula and stress-strain data. The equivalent stress formula is as follows:

[0070]

[0071] in, represents the equivalent stress value, represents the initial yield strength of the material, represents the work hardening constant, represents the equivalent plastic strain, represents the strain index, is the strain rate constant, represents a function with base e, represents the equivalent plastic strain rate, represents the quasi-static strain rate, represents the thermal softening coefficient, Indicates the ambient temperature, represents the reference temperature, Indicates the melting point of the material.

[0072] To achieve the above object, the present invention also provides a laser welding heat source simulation optimization system based on numerical simulation, comprising:

[0073] A simulation parameter acquisition module is used to confirm the simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter, obtain the adjustment interval of each simulation parameter in the simulation parameters, obtain multiple adjustment intervals, wherein the multiple adjustment intervals include: a laser power interval, a welding speed interval and a spot diameter interval, combine the multiple adjustment intervals to obtain multiple parameter combinations, obtain a welding object set, and obtain a model grid set according to the welding object set;

[0074] A parameter combination simulation module is used to extract a parameter combination from multiple parameter combinations in turn, import the extracted parameter combination into a pre-built numerical simulation software, and use the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data;

[0075] A simulation result evaluation module is used to evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm the maximum result evaluation value based on the multiple result evaluation values, and confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination;

[0076] The simulation database update module is used to obtain the target welding object, perform heat source simulation on the target welding object using the optimal parameter combination, obtain the initial simulation result, determine whether there is a difference between the initial simulation result and the preset simulation result, and if it is confirmed that there is a difference between the initial simulation result and the preset simulation result, adjust the parameter combination corresponding to the initial simulation result until there is no difference between the initial simulation result and the preset simulation result, obtain the optimal parameter combination, and update the numerical simulation database with the optimal parameter combination to obtain the latest simulation database, and complete the numerical simulation-based laser welding heat source simulation optimization based on the latest simulation database.

[0077] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0078] A memory storing at least one instruction;

[0079] The processor executes the instructions stored in the memory to implement the above-mentioned laser welding heat source simulation optimization method based on numerical simulation.

[0080] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned laser welding heat source simulation optimization method based on numerical simulation.

[0081] In order to solve the problems described in the background technology, the present invention identifies simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter. The present invention clearly defines the key parameters that need to be simulated in the laser welding process, provides a clear direction and basis for subsequent simulation, obtains the adjustment interval of each simulation parameter in the simulation parameters, and obtains multiple adjustment intervals, wherein the multiple adjustment intervals include: a laser power interval, a welding speed interval and a spot diameter interval. The present invention obtains the adjustment interval of each simulation parameter from historical laser welding simulation experiments, so as to ensure the correctness and rationality of the adjustment interval, combines the multiple adjustment intervals, obtains multiple parameter combinations, obtains a welding object set, and according to the welding object The present invention obtains a model grid set by combining the data in the adjustment interval to generate multiple parameter combinations, which not only comprehensively covers the possibilities of different combinations, but also significantly improves the diversity and comprehensiveness of the simulation. A parameter combination is extracted from the multiple parameter combinations in turn, and the extracted parameter combination is imported into the pre-built numerical simulation software. The pre-built double ellipsoid heat source model and the parameter combination are used to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress-strain data. The present invention simulates and analyzes the temperature field data and stress-strain data of the model grid in detail, generates a temperature curve using visualization technology, and compares it with the historical temperature curve. The root mean square error is used to quantitatively evaluate the overlap between the two, and it is optimized iteratively until the preset overlap threshold is reached, thereby ensuring the accuracy and consistency of the simulation results. In addition, based on the calculation of the equivalent stress value and the confirmation of the overlap, the comprehensive simulation results are summarized to provide scientific and reliable data support for the optimization of the laser welding process, which significantly improves the welding quality and efficiency. Each of the multiple simulation results is evaluated to obtain multiple result evaluation values, and the maximum result evaluation value is confirmed based on the multiple result evaluation values, and the parameter combination corresponding to the maximum result evaluation value is confirmed as the optimal parameter combination, and a numerical simulation database is constructed with the optimal parameter combination. The present invention evaluates the simulation results by combining objective weights and subjective weights, and selects the combination with the best The parameter combination with the largest result evaluation value is used as the optimal parameter combination, thereby realizing accurate optimization of parameters and significant improvement of process performance in the laser welding process, obtaining the target welding object, and using the optimal parameter combination to simulate the heat source of the target welding object to obtain the initial simulation result. The present invention can obtain a simulation result close to the actual operation by using the optimal parameter combination to simulate the heat source of the target welding object, and judge whether there is a difference between the initial simulation result and the preset simulation result. By comparing the initial simulation result with the preset simulation result, the present invention can timely discover the difference and make adjustments to ensure the accuracy and reliability of the simulation result. At the same time, through continuous iterative optimization, the optimal parameter combination can be obtained to further improve the accuracy and stability of the welding process.If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, the parameter combination corresponding to the initial simulation result is adjusted until there is no difference between the initial simulation result and the preset simulation result, and the optimal parameter combination is obtained, and the numerical simulation database is updated with the optimal parameter combination to obtain the latest simulation database. By updating the optimal parameter combination to the numerical simulation database, the present invention can continuously improve and enrich the content of the database, provide strong data support for the simulation and optimization of subsequent similar welding tasks, and complete the numerical simulation-based laser welding heat source simulation optimization based on the latest simulation database. Therefore, the present invention can improve the efficiency and accuracy of process parameter optimization and reduce the cost and complexity in the production and optimization process. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 A schematic flow chart of a method for simulating and optimizing a laser welding heat source based on numerical simulation provided by one embodiment of the present invention;

[0083] Figure 2 A functional module diagram of a laser welding heat source simulation optimization system based on numerical simulation provided by an embodiment of the present invention;

[0084] Figure 3 A schematic diagram of the structure of an electronic device for implementing the laser welding heat source simulation optimization method based on numerical simulation provided by one embodiment of the present invention.

[0085] Description of reference numerals:

[0086] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0087] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0088] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0089] The embodiment of the present application provides a method for simulating and optimizing a laser welding heat source based on numerical simulation. The execution subject of the method for simulating and optimizing a laser welding heat source based on numerical simulation includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for simulating and optimizing a laser welding heat source based on numerical simulation can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0090] Reference Figure 1FIG. 1 is a flow chart of a method for optimizing a laser welding heat source simulation based on numerical simulation according to an embodiment of the present invention. In this embodiment, the method for optimizing a laser welding heat source simulation based on numerical simulation includes:

[0091] S1. Confirm simulation parameters, where the simulation parameters include: laser power, welding speed and spot diameter.

[0092] It should be explained that the step of determining the simulation parameters is as follows: According to the results of the historical simulation, the laser power, welding speed and spot diameter are very important parameters in the laser simulation. The laser power refers to the output energy of the laser. The welding speed refers to the speed at which the laser beam moves along the welding path. The spot diameter refers to the diameter of the circular spot formed on the surface of the weld after the laser beam is focused.

[0093] S2. Obtain an adjustment interval of each simulation parameter in the simulation parameters to obtain a plurality of adjustment intervals, wherein the plurality of adjustment intervals include: a laser power interval, a welding speed interval, and a spot diameter interval.

[0094] It should be explained that the steps of obtaining the adjustment range of each simulation parameter are: referring to previous experimental data, determining the laser power range, welding speed range and spot diameter range required for different materials and thicknesses, and obtaining multiple adjustment ranges based on these ranges.

[0095] S3. Combining the multiple adjustment intervals to obtain multiple parameter combinations, obtaining a welding object set, and obtaining a model grid set according to the welding object set.

[0096] In detail, the multiple adjustment intervals are combined to obtain multiple parameter combinations ， include:

[0097] An adjustment interval is extracted from the multiple adjustment intervals in sequence, and the following operations are performed on the extracted adjustment interval:

[0098] The extracted adjustment interval is divided to obtain a plurality of divided components, one divided component is extracted from the plurality of divided components in turn, and the following operations are performed on the extracted divided components:

[0099] Sort the parameters in the extracted partition components to obtain a sequence combination, and calculate the data median of the sequence combination;

[0100] Summarize the data medians to obtain a data median array;

[0101] The data median array is summarized to obtain a data median array set corresponding to multiple adjustment intervals, wherein the data median array set includes: a laser power median array, a welding speed median array and a spot diameter median array, and the data median array set is expressed as:

[0102]

[0103] in, Represents the median set of data, represents the laser power median array, represents the welding speed median array, represents the median array of spot diameters, Indicates The median of laser power data, Indicates The median of laser power data, Indicates the number of bits in the data array. Indicates The median welding speed, Indicates The median welding speed, Indicates The median spot diameter, Indicates The median spot diameter;

[0104] The data median array includes the laser power median array, the welding speed median array and the spot diameter median array, and the data is combined to obtain multiple parameter combinations, wherein the multiple parameter combinations are expressed as:

[0105]

[0106] in, Indicates multiple parameter combinations. Indicates The median of laser power data, Indicates The median welding speed, Indicates The median spot diameter.

[0107] It should be explained that the step of dividing the extracted adjustment interval is: further subdividing an adjustment interval into multiple sub-intervals. The divided components refer to the sub-intervals in the adjustment interval. The sorting described in the embodiment of the present invention refers to the operation of sorting the parameters in the divided components in ascending order. The sequence combination refers to combining the sorted divided components to form a new ordered sequence.

[0108] For example, the sequence combination of welding power is [100, 200, 300, 400], and the process of calculating the data median of the sequence combination of welding power is as follows:

[0109]

[0110] in, The median of the series combination representing the welding power.

[0111] It is understandable that the data median array refers to an array formed by summarizing the data medians of all divided components. The data median array set refers to the set of all data median array combinations. The laser power median array, welding speed median array and spot diameter median array refer to the data median of each divided component in the laser power, welding speed and spot diameter adjustment range, respectively.

[0112] Exemplarily, the median array of laser power is [250, 350], the median array of welding speed is [2.5, 3.5], and the median array of spot diameter is [0.5, 0.7]. The medians in the median array of laser power, the median array of welding speed, and the median array of spot diameter are combined to obtain multiple parameter combinations of [(250, 2.5, 0.5), (250, 2.5, 0.7), (250, 3.5, 0.5), (250, 3.5, 0.7), (350, 2.5, 0.5), (350, 2.5, 0.7), (350, 3.5, 0.5), (350, 3.5, 0.7)].

[0113] In detail, the extracted adjustment interval is divided to obtain a plurality of division components, including:

[0114] The extracted adjustment interval is divided by using a preset division constant and a pre-constructed division point formula to obtain a plurality of division components, wherein the number of division components in the plurality of division components is the division constant plus 1;

[0115] The partition point formula is as follows:

[0116]

[0117] in, Indicates that in the adjustment interval The value of the partition point, Indicates the lower limit of the adjustment range. Indicates the upper limit of the adjustment range. represents the index of the partition point, Indicates the total number of partition components.

[0118] It should be explained that the division constant refers to a preset value used to determine how many division components the adjustment interval is divided into.

[0119] For example, the laser power adjustment interval is [100,500], the division constant is 4, and the division groups are 5. The division point formula is used to calculate the division point of the laser power adjustment interval, and the result is is 100, is 200, is 300, is 400, is 500, according to The laser power adjustment interval [100,500] is divided into [100,200], [200,300], [300,400], [400,500], [500,500].

[0120] Further, the obtaining of the model grid set according to the welding object set includes:

[0121] Extract each weld object from the weld object set one by one, and perform the following operations on the extracted weld objects:

[0122] Constructing a three-dimensional geometric model according to the welded object, and dividing the three-dimensional geometric model into a plurality of regions, wherein the plurality of regions include: a welding region, a transition region, and a remaining region;

[0123] Obtain mesh types corresponding to the welding area, transition area and remaining area, and obtain the welding mesh type, transition mesh type and remaining mesh type;

[0124] Refining the mesh of the welding area using pre-built finite element analysis software, preset refined mesh size and welding mesh type to obtain a refined mesh area;

[0125] Using finite element analysis software, preset transition mesh size and transition mesh type to mesh the transition area, and obtain a transition mesh area;

[0126] Using finite element analysis software, preset residual mesh size and residual mesh type to coarsen the mesh of the residual area to obtain a residual mesh area, wherein the residual mesh size is larger than the transition mesh size, and the transition mesh size is larger than the refined mesh size;

[0127] Determine whether there are undivided areas in the refined mesh area, transition mesh area and remaining mesh area;

[0128] If it is confirmed that there are undivided areas in the refined mesh area, the transition mesh area, and the remaining mesh area, the area type of the undivided area is determined, and the undivided area is divided according to the mesh size corresponding to the area type until there are no undivided areas in the refined mesh area, the transition mesh area, and the remaining mesh area;

[0129] Splicing the refined mesh area, transition mesh area and remaining mesh area to obtain the model mesh;

[0130] The model meshes are aggregated to obtain the model mesh set corresponding to the welding object set.

[0131] It should be explained that the welding area refers to the area where welding operation is required. The transition area refers to the area between the welding area and the non-welding area. The remaining area refers to the area other than the welding area and the transition area. The step of obtaining the mesh types corresponding to the welding area, the transition area and the remaining area is: determine the mesh fineness required for each area and determine the mesh type. Finite element analysis software refers to software used for numerical simulation and mesh division. The refined mesh size refers to the mesh size used in the welding area, which is usually very small to ensure the accuracy of the simulation. The transition mesh size refers to the mesh size used in the transition area, which is between the refined mesh and the coarse mesh. The remaining mesh size refers to the mesh size used in the remaining area, which is usually larger to reduce the amount of calculation.

[0132] It can be understood that splicing refers to the operation of merging the meshes of the welding area, transition area and remaining area that have been divided into different levels of fineness to form a complete three-dimensional mesh model. The model mesh refers to the mesh of the entire area obtained by splicing the refined mesh area, transition mesh area and remaining mesh area.

[0133] S4. Extract one parameter combination from the multiple parameter combinations in turn, import the extracted parameter combination into a pre-built numerical simulation software, and use the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to the multiple parameter combinations.

[0134] Specifically, the simulation results include: temperature field data and stress-strain data.

[0135] It should be explained that numerical simulation software refers to a software that uses computer programs to simulate the laser welding process. The double ellipsoid heat source model refers to a mathematical model used to describe the heat source distribution during laser welding. The characteristic of the double ellipsoid heat source model is that it simplifies the heat source distribution of the laser beam into two intersecting ellipsoids, including the front ellipsoid and the rear ellipsoid, which is closer to the heat source distribution during actual welding.

[0136] In detail, the double ellipsoid heat source model is as follows:

[0137]

[0138] in, Indicates in space The heat flux density in the front half of the ellipsoid is Indicates in space The heat flux density of the rear hemi-ellipsoid is represents the energy distribution ratio of the front half ellipsoid, represents the energy distribution ratio of the rear half ellipsoid, represents the total welding energy input, represents the semi-axis length of the first half ellipse in the x direction, represents the semi-axis length of the second half ellipse in the x direction, represents the semi-axis length of the front half ellipsoid in the y direction, represents the semi-axis length of the front half ellipsoid in the z direction, represents the natural exponential function, with base e, Represents a constant Perform the square root operation, represents pi, represents the total heat flux density, represents the semi-axis length of the rear semi-ellipsoid in the y direction, It represents the semi-axis length of the rear semi-ellipsoid in the z direction.

[0139] It should be explained that heat flux density refers to the amount of heat passing through a unit area per unit time. The energy distribution ratio refers to the ratio of energy density at different positions in the ellipse. The total heat flux density refers to the sum of the heat flux densities of the front and rear half ellipsoids.

[0140] In detail, the pre-built double ellipsoid heat source model and the parameter combination are used to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to multiple parameter combinations, including:

[0141] Extract one model mesh from the model mesh set one by one, and perform the following operations on the extracted model mesh:

[0142] The heat source of the model grid is simulated using parameter combination and double ellipsoid heat source model to obtain temperature field data and stress-strain data;

[0143] Visualize temperature field data and obtain temperature curve;

[0144] Obtain historical temperature field data, visualize the historical temperature field data, and obtain a historical temperature curve, wherein the horizontal axis of the historical temperature curve is time, and the vertical axis of the historical temperature curve is temperature;

[0145] The root mean square error between the historical temperature curve and the temperature curve is calculated to obtain the curve coincidence degree, where the curve coincidence degree calculation formula is:

[0146]

[0147] in, represents the curve coincidence, The temperature curve data points, The historical temperature curve data points, represents the total number of data points, Represents an index variable;

[0148] Compare the curve overlap degree with the preset overlap threshold;

[0149] If it is confirmed that the curve overlap is less than the preset overlap threshold, return to the step of extracting one model grid from the model grid set in sequence until the curve overlap is greater than or equal to the preset overlap threshold, and calculate the equivalent stress value according to the stress-strain data;

[0150] The simulation results are confirmed based on the curve coincidence and the equivalent stress value, and the simulation results are summarized to obtain multiple simulation results corresponding to the model grid set.

[0151] It should be explained that the model grid refers to the grid corresponding to each weld. The model grid set refers to the set of model grid combinations of all welds. The step of visualizing the temperature field data is: displaying the temperature distribution data obtained by heat source simulation of the weld in a graphical manner. Historical temperature field data refers to the temperature distribution data recorded in the historical heat source simulation experiment. Curve overlap is an indicator used to measure the degree of consistency in shape between the temperature curve obtained by the current simulation and the historical temperature curve. The overlap threshold refers to a pre-set value used to determine whether the curve overlap reaches the expected level.

[0152] Importantly, the calculation of equivalent stress value based on stress-strain data includes:

[0153] The equivalent stress value is calculated using the pre-built equivalent stress formula and stress-strain data. The equivalent stress formula is as follows:

[0154]

[0155] in, represents the equivalent stress value, represents the initial yield strength of the material, represents the work hardening constant, represents the equivalent plastic strain, represents the strain index, is the strain rate constant, represents a function with base e, represents the equivalent plastic strain rate, represents the quasi-static strain rate, represents the thermal softening coefficient, Indicates the ambient temperature, represents the reference temperature, Indicates the melting point of the material.

[0156] It should be explained that the equivalent stress value refers to a comprehensive indicator calculated based on stress-strain data, which is used to represent the stress state of the model mesh under the action of heat source. The initial yield strength of the material refers to the stress level at which the material begins to undergo plastic deformation during the initial loading stage. The work hardening constant refers to the constant of the stress level that increases with the increase of plastic strain during the plastic deformation process of the material. The equivalent plastic strain refers to the cumulative plastic strain that occurs in the material during the plastic deformation process. The strain exponent refers to the hardening law that describes the material during the plastic deformation process. For example, the higher the strain exponent, the stronger the hardening ability of the material.

[0157] It can be understood that the strain rate constant refers to a constant that describes the stress response of a material at different strain rates. The equivalent plastic strain rate refers to the rate of change of the plastic strain of a material over time during plastic deformation. The quasi-static strain rate refers to the plastic strain rate of a material under the condition of a reference strain rate. The thermal softening coefficient refers to the numerical value of the stress reduction characteristic of a material at high temperatures. The melting point of a material refers to the temperature at which the material changes from solid to liquid.

[0158] S5. Evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm the maximum result evaluation value based on the multiple result evaluation values, and confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination.

[0159] In detail, the step of evaluating each of the multiple simulation results to obtain multiple result evaluation values, determining a maximum result evaluation value based on the multiple result evaluation values, and determining the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination includes:

[0160] A simulation result parameter combination is extracted from the multiple simulation results in sequence, and the following operations are performed on the extracted simulation results:

[0161] Obtaining objective weights and subjective weights of the extracted simulation results, wherein the objective weights include: objective weights of curve coincidence and objective weights of stress-strain values, and the subjective weights include: subjective weights of curve coincidence and subjective weights of stress-strain values;

[0162] Obtain comprehensive weights based on objective weights and subjective weights;

[0163] Evaluating the simulation results using comprehensive weights to obtain result evaluation values;

[0164] Aggregating the result evaluation values ​​to obtain multiple result evaluation values;

[0165] A maximum result evaluation value among multiple result evaluation values ​​is obtained, and a parameter combination corresponding to the maximum result evaluation value is confirmed as an optimal parameter combination, wherein the optimal parameter combination is a parameter combination corresponding to the maximum result evaluation value calculated for the first time.

[0166] It should be explained that objective weight refers to the weight assigned based on objective data when evaluating simulation results. Subjective weight refers to the weight assigned based on domain knowledge when evaluating simulation results. Comprehensive weight refers to the weight obtained by combining objective weight and subjective weight. The step of evaluating the simulation results using comprehensive weights to obtain the result evaluation value is to perform weighted summation of the curve coincidence and stress-strain values ​​in the simulation results according to the comprehensive weights to obtain a comprehensive evaluation value.

[0167] Furthermore, obtaining the comprehensive weight according to the objective weight and the subjective weight includes:

[0168] Use pre-built comprehensive weight formulas, objective weights, and subjective weights to obtain comprehensive weights;

[0169] The comprehensive weight formula is as follows:

[0170]

[0171] in, represents the comprehensive weight, The coefficient representing the subjective weight, represents the subjective weight, represents the coefficient of objective weight, Indicates the number of parameter combinations, Indicates The normalized value of the parameter combination, represents the logarithmic function with base e, Represents an index, represents the number of criteria, Indicates The coefficient of variation.

[0172] It should be explained that the proportion coefficient of objective weight refers to the proportion of objective weight in the comprehensive weight calculation. The proportion coefficient of subjective weight refers to the proportion of subjective weight in the comprehensive weight calculation. The difference coefficient refers to the coefficient used to adjust the difference between different criteria in the comprehensive weight calculation. The number of criteria is 2, which refers to the stress-strain value and the degree of overlap of the curve.

[0173] S6. Obtain a target weld, perform heat source simulation on the target weld using an optimal parameter combination, and obtain an initial simulation result.

[0174] It should be explained that the target weld refers to the object that needs to be welded in the welding process research. The optimal parameter combination refers to a set of parameters corresponding to the maximum result evaluation value when simulating the welding process. The initial simulation result refers to the result obtained after the heat source simulation of the target weld is performed using the above optimal parameter combination when simulating the welding process.

[0175] S7. Determine whether there is a difference between the initial simulation result and the preset simulation result. If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, adjust the parameter combination corresponding to the initial simulation result until there is no difference between the initial simulation result and the preset simulation result, thereby obtaining the optimal parameter combination.

[0176] It should be explained that the preset simulation results refer to a set of ideal simulation results set by the researchers before the welding process simulation. The step of confirming that the initial simulation results are different from the preset simulation results is: some temperature changes in the welding process do not conform to the expected temperature curve or the strain stress value is not within the safe range. The step of adjusting the parameter combination corresponding to the initial simulation results is: adjusting the laser power, welding speed and spot diameter in the parameter combination until the preset simulation results are achieved. The optimal parameter combination refers to a set of parameter combinations finally obtained after multiple adjustments and optimizations. This set of parameters can make the simulation results have no significant difference from the preset simulation results.

[0177] S8, and update the numerical simulation database with the optimal parameter combination to obtain the latest simulation database.

[0178] It should be explained that the steps of updating the numerical simulation database with the optimal parameter combination to obtain the latest simulation database are: eliminating all the original parameter combinations in the numerical simulation database to obtain a blank database, importing the optimal parameter combination to obtain the latest simulation database.

[0179] S9. Complete the optimization of laser welding heat source simulation based on numerical simulation based on the latest simulation database.

[0180] It is understandable that the latest simulation database refers to a database containing the latest optimal parameter combination after the update operation.

[0181] For example, there is a laser welding task of low carbon steel, and the goal is to obtain a uniform weld and a high-strength weld joint. The optimal parameter combination for low carbon steel welding is retrieved from the latest simulation database: laser power 3, welding speed 10, spot diameter 2, and a suitable finite element analysis model is selected according to the weld joint to perform laser welding heat source simulation, and the temperature curve and stress-strain values ​​are obtained. The simulation results are obtained based on the temperature curve and stress-strain values. The simulation results are analyzed to evaluate the uniformity and strength of the weld. If local overheating or stress concentration is found in the weld, the parameters are adjusted to: laser power 2.5, welding speed 12, spot diameter 1.8, and simulation is performed again until the simulation results are close to the preset ideal welding quality to obtain the optimal parameter combination. The optimal parameter combination is imported into the latest simulation database to complete the laser welding heat source simulation optimization based on numerical simulation.

[0182] In order to solve the problems described in the background technology, the present invention identifies simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter. The present invention clearly defines the key parameters that need to be simulated in the laser welding process, provides a clear direction and basis for subsequent simulation, obtains the adjustment interval of each simulation parameter in the simulation parameters, and obtains multiple adjustment intervals, wherein the multiple adjustment intervals include: a laser power interval, a welding speed interval and a spot diameter interval. The present invention obtains the adjustment interval of each simulation parameter from historical laser welding simulation experiments, so as to ensure the correctness and rationality of the adjustment interval, combines the multiple adjustment intervals, obtains multiple parameter combinations, obtains a welding object set, and according to the welding object The present invention obtains a model grid set by combining the data in the adjustment interval to generate multiple parameter combinations, which not only comprehensively covers the possibilities of different combinations, but also significantly improves the diversity and comprehensiveness of the simulation. A parameter combination is extracted from the multiple parameter combinations in turn, and the extracted parameter combination is imported into the pre-built numerical simulation software. The pre-built double ellipsoid heat source model and the parameter combination are used to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress-strain data. The present invention simulates and analyzes the temperature field data and stress-strain data of the model grid in detail, generates a temperature curve using visualization technology, and compares it with the historical temperature curve. The root mean square error is used to quantitatively evaluate the overlap between the two, and it is optimized iteratively until the preset overlap threshold is reached, thereby ensuring the accuracy and consistency of the simulation results. In addition, based on the calculation of the equivalent stress value and the confirmation of the overlap, the comprehensive simulation results are summarized to provide scientific and reliable data support for the optimization of the laser welding process, which significantly improves the welding quality and efficiency. Each of the multiple simulation results is evaluated to obtain multiple result evaluation values, and the maximum result evaluation value is confirmed based on the multiple result evaluation values, and the parameter combination corresponding to the maximum result evaluation value is confirmed as the optimal parameter combination, and a numerical simulation database is constructed with the optimal parameter combination. The present invention evaluates the simulation results by combining objective weights and subjective weights, and selects the combination with the best The parameter combination with the largest result evaluation value is used as the optimal parameter combination, thereby realizing accurate optimization of parameters and significant improvement of process performance in the laser welding process, obtaining the target welding object, and using the optimal parameter combination to simulate the heat source of the target welding object to obtain the initial simulation result. The present invention can obtain a simulation result close to the actual operation by using the optimal parameter combination to simulate the heat source of the target welding object, and judge whether there is a difference between the initial simulation result and the preset simulation result. By comparing the initial simulation result with the preset simulation result, the present invention can timely discover the difference and make adjustments to ensure the accuracy and reliability of the simulation result. At the same time, through continuous iterative optimization, the optimal parameter combination can be obtained to further improve the accuracy and stability of the welding process.If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, the parameter combination corresponding to the initial simulation result is adjusted until there is no difference between the initial simulation result and the preset simulation result, and the optimal parameter combination is obtained, and the numerical simulation database is updated with the optimal parameter combination to obtain the latest simulation database. By updating the optimal parameter combination to the numerical simulation database, the present invention can continuously improve and enrich the content of the database, provide strong data support for the simulation and optimization of subsequent similar welding tasks, and complete the numerical simulation-based laser welding heat source simulation optimization based on the latest simulation database. Therefore, the present invention can improve the efficiency and accuracy of process parameter optimization and reduce the cost and complexity in the production and optimization process.

[0183] like Figure 2 , which is a functional module diagram of a laser welding heat source simulation optimization system based on numerical simulation provided by an embodiment of the present invention.

[0184] The laser welding heat source simulation optimization system 100 based on numerical simulation of the present invention can be installed in an electronic device. According to the functions to be implemented, the laser welding heat source simulation optimization system 100 based on numerical simulation can include a simulation parameter acquisition module 101, a parameter combination simulation module 102, a simulation result evaluation module 103 and a simulation database update module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device;

[0185] The simulation parameter acquisition module 101 is used to confirm the simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter, obtain the adjustment interval of each simulation parameter in the simulation parameters, and obtain multiple adjustment intervals, wherein the multiple adjustment intervals include: a laser power interval, a welding speed interval and a spot diameter interval, combine the multiple adjustment intervals to obtain multiple parameter combinations, obtain a welding object set, and obtain a model grid set according to the welding object set;

[0186] The parameter combination simulation module 102 is used to extract a parameter combination from multiple parameter combinations in turn, import the extracted parameter combination into a pre-built numerical simulation software, and use the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data;

[0187] The simulation result evaluation module 103 is used to evaluate each of the multiple simulation results to obtain multiple result evaluation values, determine the maximum result evaluation value based on the multiple result evaluation values, and determine the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination;

[0188] The simulation database update module 104 is used to obtain a target weld, perform heat source simulation on the target weld using an optimal parameter combination, obtain an initial simulation result, determine whether there is a difference between the initial simulation result and a preset simulation result, and if it is confirmed that there is a difference between the initial simulation result and the preset simulation result, adjust the parameter combination corresponding to the initial simulation result until there is no difference between the initial simulation result and the preset simulation result, obtain the optimal parameter combination, and update the numerical simulation database with the optimal parameter combination to obtain the latest simulation database, and complete the numerical simulation-based laser welding heat source simulation optimization based on the latest simulation database.

[0189] In detail, each module in the laser welding heat source simulation optimization system 100 based on numerical simulation in the embodiment of the present invention is used in the same manner as described above. Figure 1 The same technical means as the laser welding heat source simulation optimization method based on numerical simulation described in the text can produce the same technical effects, so I will not go into details here.

[0190] like Figure 3 , is a schematic diagram of the structure of an electronic device for implementing a method for simulating and optimizing a laser welding heat source based on numerical simulation, provided by an embodiment of the present invention.

[0191] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a laser welding heat source simulation optimization method program based on numerical simulation.

[0192] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the laser welding heat source simulation optimization method program based on numerical simulation, but also can be used to temporarily store data that has been output or is to be output.

[0193] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a laser welding heat source simulation optimization method program based on numerical simulation, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0194] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0195] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0196] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0197] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0198] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0199] The laser welding heat source simulation optimization method program based on numerical simulation stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0200] Determine simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter;

[0201] Acquire an adjustment interval of each simulation parameter in the simulation parameters to obtain a plurality of adjustment intervals, wherein the plurality of adjustment intervals include: a laser power interval, a welding speed interval, and a spot diameter interval;

[0202] Combining the multiple adjustment intervals to obtain multiple parameter combinations, obtaining a welding object set, and obtaining a model grid set according to the welding object set;

[0203] Extracting a parameter combination from the multiple parameter combinations in turn, importing the extracted parameter combination into a pre-built numerical simulation software, and using the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set, and obtaining multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data;

[0204] Evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm a maximum result evaluation value based on the multiple result evaluation values, confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination;

[0205] Obtain a target weld, perform heat source simulation on the target weld using an optimal parameter combination, and obtain an initial simulation result;

[0206] Determine whether there is a difference between the initial simulation result and the preset simulation result;

[0207] If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, the parameter combination corresponding to the initial simulation result is adjusted until there is no difference between the initial simulation result and the preset simulation result, and the optimal parameter combination is obtained, and the numerical simulation database is updated with the optimal parameter combination to obtain the latest simulation database;

[0208] Complete the optimization of laser welding heat source simulation based on numerical simulation based on the latest simulation database.

[0209] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0210] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0211] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0212] Determine simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter;

[0213] Acquire an adjustment interval of each simulation parameter in the simulation parameters to obtain a plurality of adjustment intervals, wherein the plurality of adjustment intervals include: a laser power interval, a welding speed interval, and a spot diameter interval;

[0214] Combining the multiple adjustment intervals to obtain multiple parameter combinations, obtaining a welding object set, and obtaining a model grid set according to the welding object set;

[0215] Extracting a parameter combination from the multiple parameter combinations in turn, importing the extracted parameter combination into a pre-built numerical simulation software, and using the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set, and obtaining multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data;

[0216] Evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm a maximum result evaluation value based on the multiple result evaluation values, confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination;

[0217] Obtain a target weld, perform heat source simulation on the target weld using an optimal parameter combination, and obtain an initial simulation result;

[0218] Determine whether there is a difference between the initial simulation result and the preset simulation result;

[0219] If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, the parameter combination corresponding to the initial simulation result is adjusted until there is no difference between the initial simulation result and the preset simulation result, and the optimal parameter combination is obtained, and the numerical simulation database is updated with the optimal parameter combination to obtain the latest simulation database;

[0220] Complete the optimization of laser welding heat source simulation based on numerical simulation based on the latest simulation database.

[0221] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0222] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0223] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0224] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0225] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for simulating and optimizing heat sources of laser welding based on numerical simulation, characterized in that: The method comprises: Determine simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter; Acquire an adjustment interval of each simulation parameter in the simulation parameters to obtain a plurality of adjustment intervals, wherein the plurality of adjustment intervals include: a laser power interval, a welding speed interval, and a spot diameter interval; Combining the multiple adjustment intervals to obtain multiple parameter combinations, obtaining a welding object set, and obtaining a model grid set according to the welding object set; Extracting a parameter combination from the multiple parameter combinations in turn, importing the extracted parameter combination into a pre-built numerical simulation software, and using the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set, and obtaining multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data; The double ellipsoid heat source model is as follows: in, Indicates in space The heat flux density in the front half of the ellipsoid is Indicates in space The heat flux density of the rear hemi-ellipsoid is represents the energy distribution ratio of the front half ellipsoid, represents the energy distribution ratio of the rear half ellipsoid, represents the total welding energy input, represents the semi-axis length of the first half ellipse in the x direction, represents the semi-axis length of the second half ellipse in the x direction, represents the semi-axis length of the front half ellipsoid in the y direction, represents the semi-axis length of the front half ellipsoid in the z direction, represents the natural exponential function, with base e, Represents a constant Perform the square root operation, represents pi, represents the total heat flux density, represents the semi-axis length of the rear semi-ellipsoid in the y direction, represents the semi-axis length of the rear semi-ellipsoid in the z direction; The heat source simulation of the model grid set is performed using the pre-built double ellipsoid heat source model and the parameter combination to obtain multiple simulation results corresponding to multiple parameter combinations, including: Extract one model mesh from the model mesh set one by one, and perform the following operations on the extracted model mesh: The heat source of the model grid is simulated using parameter combination and double ellipsoid heat source model to obtain temperature field data and stress-strain data; Visualize temperature field data and obtain temperature curve; Obtain historical temperature field data, visualize the historical temperature field data, and obtain a historical temperature curve, wherein the horizontal axis of the historical temperature curve is time, and the vertical axis of the historical temperature curve is temperature; The root mean square error between the historical temperature curve and the temperature curve is calculated to obtain the curve coincidence degree, where the curve coincidence degree calculation formula is: in, represents the curve coincidence, The temperature curve data points, The historical temperature curve data points, represents the total number of data points, Represents an index variable; Compare the curve overlap degree with the preset overlap threshold; If it is confirmed that the curve overlap is less than the preset overlap threshold, return to the step of extracting one model grid from the model grid set in sequence until the curve overlap is greater than or equal to the preset overlap threshold, and calculate the equivalent stress value according to the stress-strain data; Confirm the simulation results based on the curve coincidence and equivalent stress value, summarize the simulation results, and obtain multiple simulation results corresponding to the model grid set; Evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm a maximum result evaluation value based on the multiple result evaluation values, confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination; Obtain a target weld, perform heat source simulation on the target weld using an optimal parameter combination, and obtain an initial simulation result; Determine whether there is a difference between the initial simulation result and the preset simulation result; If it is confirmed that there is a difference between the initial simulation result and the preset simulation result, the parameter combination corresponding to the initial simulation result is adjusted until there is no difference between the initial simulation result and the preset simulation result, and the optimal parameter combination is obtained, and the numerical simulation database is updated with the optimal parameter combination to obtain the latest simulation database; Complete the optimization of laser welding heat source simulation based on numerical simulation based on the latest simulation database.

2. The method for simulating and optimizing laser welding heat sources based on numerical simulation according to claim 1, characterized in that: The multiple adjustment intervals are combined to obtain multiple parameter combinations. ， include: An adjustment interval is extracted from the multiple adjustment intervals in sequence, and the following operations are performed on the extracted adjustment interval: The extracted adjustment interval is divided to obtain a plurality of divided components, one divided component is extracted from the plurality of divided components in turn, and the following operations are performed on the extracted divided components: Sort the extracted partition components to obtain sequence combinations, and calculate the data median of the sequence combinations; Summarize the data medians to obtain a data median array; The data median array is summarized to obtain a data median array set corresponding to multiple adjustment intervals, wherein the data median array set includes: a laser power median array, a welding speed median array and a spot diameter median array, and the data median array set is expressed as: in, Represents the median set of data, represents the laser power median array, represents the welding speed median array, represents the median array of spot diameters, Indicates The median laser power data, Indicates The median laser power data, Indicates the number of bits in the data array. Indicates The median welding speed, Indicates The median welding speed, Indicates The median spot diameter, Indicates The median spot diameter; The data median array includes the laser power median array, the welding speed median array and the spot diameter median array, and the data is combined to obtain multiple parameter combinations, wherein the multiple parameter combinations are expressed as: in, Indicates multiple parameter combinations. Indicates The median laser power data, Indicates The median welding speed, Indicates The median spot diameter.

3. The method for simulating and optimizing laser welding heat source based on numerical simulation according to claim 2, characterized in that: The extracted adjustment interval is divided to obtain a plurality of division components, including: The extracted adjustment interval is divided by using a preset division constant and a pre-constructed division point formula to obtain a plurality of division components, wherein the number of division components in the plurality of division components is the division constant plus 1; The partition point formula is as follows: in, Indicates that in the adjustment interval The value of the partition point, Indicates the lower limit of the adjustment range. Indicates the upper limit of the adjustment range. represents the index of the partition point, Indicates the total number of partition components.

4. The method for simulating and optimizing laser welding heat source based on numerical simulation according to claim 3, characterized in that: The step of obtaining a model grid set according to a welding object set includes: Extract each weld object from the weld object set one by one, and perform the following operations on the extracted weld objects: Constructing a three-dimensional geometric model according to the welded object, and dividing the three-dimensional geometric model into a plurality of regions, wherein the plurality of regions include: a welding region, a transition region, and a remaining region; Obtain mesh types corresponding to the welding area, transition area and remaining area, and obtain the welding mesh type, transition mesh type and remaining mesh type; Refining the mesh of the welding area using pre-built finite element analysis software, preset refined mesh size and welding mesh type to obtain a refined mesh area; Using finite element analysis software, preset transition mesh size and transition mesh type to mesh the transition area, and obtain a transition mesh area; Using finite element analysis software, preset residual mesh size and residual mesh type to coarsen the mesh of the residual area to obtain a residual mesh area, wherein the residual mesh size is larger than the transition mesh size, and the transition mesh size is larger than the refined mesh size; Determine whether there are undivided areas in the refined mesh area, transition mesh area and remaining mesh area; If it is confirmed that there are undivided areas in the refined mesh area, the transition mesh area, and the remaining mesh area, the area type of the undivided area is determined, and the undivided area is divided according to the mesh size corresponding to the area type until there are no undivided areas in the refined mesh area, the transition mesh area, and the remaining mesh area; Splicing the refined mesh area, transition mesh area and remaining mesh area to obtain the model mesh; The model meshes are aggregated to obtain the model mesh set corresponding to the welding object set.

5. The method for simulating and optimizing laser welding heat source based on numerical simulation according to claim 4, characterized in that: The step of evaluating each of the multiple simulation results to obtain multiple result evaluation values, determining a maximum result evaluation value based on the multiple result evaluation values, and determining the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination includes: A simulation result parameter combination is extracted from the multiple simulation results in sequence, and the following operations are performed on the extracted simulation results: Obtaining objective weights and subjective weights of the extracted simulation results, wherein the objective weights include: objective weights of curve coincidence and objective weights of stress-strain values, and the subjective weights include: subjective weights of curve coincidence and subjective weights of stress-strain values; Obtain comprehensive weights based on objective weights and subjective weights; Evaluating the simulation results using comprehensive weights to obtain result evaluation values; Aggregating the result evaluation values ​​to obtain multiple result evaluation values; A maximum result evaluation value among multiple result evaluation values ​​is obtained, and a parameter combination corresponding to the maximum result evaluation value is confirmed as an optimal parameter combination, wherein the optimal parameter combination is a parameter combination corresponding to the maximum result evaluation value calculated for the first time.

6. The method for simulating and optimizing laser welding heat source based on numerical simulation according to claim 5, characterized in that: The obtaining of the comprehensive weight according to the objective weight and the subjective weight includes: Use pre-built comprehensive weight formulas, objective weights, and subjective weights to obtain comprehensive weights; The comprehensive weight formula is as follows: in, represents the comprehensive weight, The coefficient representing the subjective weight, represents the subjective weight, represents the coefficient of objective weight, Indicates the number of parameter combinations, Indicates The normalized value of the parameter combination, represents the logarithmic function with base e, Represents an index, represents the number of criteria, Indicates The coefficient of variation.

7. The method for simulating and optimizing laser welding heat source based on numerical simulation according to claim 6, characterized in that: The calculating of the equivalent stress value according to the stress-strain data comprises: The equivalent stress value is calculated using the pre-built equivalent stress formula and stress-strain data. The equivalent stress formula is as follows: in, represents the equivalent stress value, represents the initial yield strength of the material, represents the work hardening constant, represents the equivalent plastic strain, represents the strain index, is the strain rate constant, represents a function with base e, represents the equivalent plastic strain rate, represents the quasi-static strain rate, represents the thermal softening coefficient, Indicates the ambient temperature, represents the reference temperature, Indicates the melting point of the material.

8. A system using the laser welding heat source simulation optimization method based on numerical simulation as claimed in claim 1, characterized in that: The system comprises: A simulation parameter acquisition module is used to confirm the simulation parameters, wherein the simulation parameters include: laser power, welding speed and spot diameter, obtain the adjustment interval of each simulation parameter in the simulation parameters, obtain multiple adjustment intervals, wherein the multiple adjustment intervals include: a laser power interval, a welding speed interval and a spot diameter interval, combine the multiple adjustment intervals to obtain multiple parameter combinations, obtain a welding object set, and obtain a model grid set according to the welding object set; A parameter combination simulation module is used to extract a parameter combination from multiple parameter combinations in turn, import the extracted parameter combination into a pre-built numerical simulation software, and use the pre-built double ellipsoid heat source model and the parameter combination to perform heat source simulation on the model grid set to obtain multiple simulation results corresponding to the multiple parameter combinations, wherein the simulation results include: temperature field data and stress strain data; A simulation result evaluation module is used to evaluate each of the multiple simulation results to obtain multiple result evaluation values, confirm the maximum result evaluation value based on the multiple result evaluation values, and confirm the parameter combination corresponding to the maximum result evaluation value as the optimal parameter combination, and construct a numerical simulation database with the optimal parameter combination; The simulation database update module is used to obtain the target welding object, perform heat source simulation on the target welding object using the optimal parameter combination, obtain the initial simulation result, determine whether there is a difference between the initial simulation result and the preset simulation result, and if it is confirmed that there is a difference between the initial simulation result and the preset simulation result, adjust the parameter combination corresponding to the initial simulation result until there is no difference between the initial simulation result and the preset simulation result, obtain the optimal parameter combination, and update the numerical simulation database with the optimal parameter combination to obtain the latest simulation database, and complete the numerical simulation-based laser welding heat source simulation optimization based on the latest simulation database.

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