A swing laser welding equivalent heat source modeling method and a swing laser welding simulation method

Abstract

The application discloses a kind of swing laser welding equivalent heat source modeling methods, comprising: the energy distribution nephogram of actual laser welding heat source under different swing trajectory, swing frequency and swing amplitude is constructed;Along the direction of heat source center position, extract energy distribution curve, obtain the spatial position information of multiple target interest points;Equivalent Gaussian heat source model is respectively constructed for each target interest point;Gaussian heat source model and actual laser welding heat source are verified, and the Gaussian heat source model that passes verification is used as the equivalent heat source model of actual laser welding heat source.The application also provides a kind of swing laser welding simulation method, and the equivalent heat source model is constructed using the aforementioned modeling method, and welding simulation is carried out based on equivalent heat source model.The application can greatly shorten the heat source checking period when swing laser welding simulation, improve the simulation efficiency of entire swing laser welding.

Description

Technical Field

[0001] This invention relates to a modeling method for an equivalent heat source in oscillating laser welding and a simulation method for oscillating laser welding, belonging to the field of laser welding technology. Background Technology

[0002] In the field of welding, due to the difficulty in exploring welding processes and predicting post-weld deformation, computational simulation methods are necessary. Numerical simulations are used to study the welding process, thereby guiding welding techniques and achieving effective control of welding deformation and defects.

[0003] Oscillating beam welding, a relatively new welding method, utilizes galvanometer technology to move the welding beam, thereby altering the heat source energy distribution and improving welding quality. However, the oscillating beam also complicates the welding process, making it more difficult to obtain the process window and predict deformation. Simulation technology can effectively mitigate these challenges.

[0004] In principle, surface heat sources, volume heat sources, or combinations of both can be used in oscillating laser welding simulations. However, it should be noted that most models require modifications to the heat source model to more closely approximate the actual welding process, introducing numerous correction parameters. While these parameters improve the accuracy of the heat source model, they are not suitable for oscillating laser welding. The oscillating beam requires the heat source coordinates to move over time; directly substituting these parameters into the existing heat source model significantly increases computation time and impacts simulation efficiency. Furthermore, the addition of the oscillation trajectory complicates the entire simulation process, greatly reducing the accuracy of heat source verification and simulation overall. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a modeling method for equivalent heat sources in oscillating laser welding and a simulation method for oscillating laser welding, thereby solving the technical problems of long heat source verification cycle and inaccurate verification in the prior art during oscillating laser welding simulation.

[0006] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0007] In a first aspect, the present invention provides a method for modeling an equivalent heat source in oscillating laser welding, characterized in that the method comprises:

[0008] Based on the heat source parameters of the actual laser welding heat source to be modeled, construct the energy distribution cloud map of the actual laser welding heat source under different swing trajectories, swing frequencies, swing amplitudes and swing speeds per unit time;

[0009] In the energy distribution cloud map, extract the energy distribution curve along the direction of the center of the heat source;

[0010] Multiple target interest points are selected on the energy distribution curve, and the spatial location information of each target interest point is determined.

[0011] Based on the spatial location information of the target interest points and the characteristics of the energy distribution curve, an equivalent Gaussian heat source model is constructed for each target interest point, and the heat source power and heat source radius of the Gaussian heat source model are determined according to the energy distribution of the actual laser welding heat source.

[0012] The Gaussian heat source model and the actual laser welding heat source are verified to have a good match. The verified Gaussian heat source model is used as the equivalent heat source model of the actual laser welding heat source.

[0013] In conjunction with the first aspect, the actual laser welding heat source further includes any one or more combinations of cylindrical heat sources, conical heat sources, double ellipsoidal heat sources, and surface heat sources.

[0014] In conjunction with the first aspect, the spatial location information of the target point of interest further includes the coordinates of the location points at the two locations with the highest energy density and the location point at the one with the lowest energy density in the energy distribution cloud map.

[0015] In conjunction with the first aspect, the heat source parameters further include heat source power, heat source radius, and heat source center location.

[0016] In conjunction with the first aspect, the method for verifying the consistency between the Gaussian heat source model and the actual laser welding heat source includes:

[0017] Construct an energy distribution cloud map of the Gaussian heat source model and compare it with the energy distribution cloud map of the actual laser welding heat source. The comparison includes the heat source's effective range, the coordinates of the location point with the maximum energy density, and the coordinates of the location point with the minimum energy density. Obtain the cloud map to verify the degree of agreement.

[0018] Substitute the Gaussian heat source model into the welding simulation model to obtain the thermal field distribution during the welding process. Compare it with the actual weld cross-sectional morphology to obtain the weld morphology verification degree of consistency.

[0019] The conformity verification is passed only when both the conformity of the cloud map verification and the conformity of the weld morphology verification are greater than the set conformity threshold.

[0020] In conjunction with the first aspect, the set matching threshold is further defined as 90%.

[0021] In conjunction with the first aspect, the Gaussian heat source model is further constructed based on the following expression:

[0022] q i+1 (x,y,z)=A i+1 f i+1(x,y,z)

[0023] In the formula, q i+1 (x, y, z) represents the heat flux density function of the i-th Gaussian heat source model, where x, y, and z represent the coordinates of the i-th Gaussian heat source model in the spatial coordinate system. The X-axis represents the welding direction, the Y-axis represents the direction perpendicular to the welding direction, and the Z-axis represents the welding depth direction. i+1 This represents the energy coefficient of the i-th Gaussian heat source model. f i+1 (x,y,z) represents the shape function of the i-th Gaussian heat source model. h i+1 r represents the effective depth of the i-th Gaussian heat source model; i η represents the heat source radius of the i-th Gaussian heat source model; i+1 P represents the power efficiency coefficient of the i-th Gaussian heat source model; i+1 R(z) represents the actual power of the i-th Gaussian heat source model; R(z) represents the heat flux distribution function of the i-th Gaussian heat source model.

[0024] Secondly, the present invention provides a method for simulating oscillating laser welding, the method comprising:

[0025] An equivalent heat source model is constructed using the modeling method described in any one of the first aspects;

[0026] Load the workpiece model to be welded, and use the constructed equivalent heat source model to simulate welding the workpiece model to obtain welding simulation data.

[0027] Thirdly, the present invention provides a modeling device for an equivalent heat source of oscillating laser welding, comprising:

[0028] Energy distribution cloud map construction module: used to construct the energy distribution cloud map of the actual laser welding heat source under different swing trajectories, swing frequencies and swing amplitudes based on the heat source parameters of the actual laser welding heat source to be modeled;

[0029] Extraction module: used to extract the energy distribution curve along the direction of the center of the heat source in the energy distribution cloud map, and select multiple target points of interest on the energy distribution curve to determine the spatial location information of each target point of interest;

[0030] Equivalent Gaussian heat source model construction module: used to construct corresponding equivalent Gaussian heat source models for each target interest point based on the spatial location information of the target interest point and the characteristics of the energy distribution curve, and to determine the heat source power and heat source radius of the Gaussian heat source model based on the energy distribution of the actual laser welding heat source;

[0031] Verification module: used to verify the consistency between the Gaussian heat source model and the actual laser welding heat source, and to use the verified Gaussian heat source model as the equivalent heat source model of the actual laser welding heat source.

[0032] Fourthly, the present invention provides a swing laser welding simulation device, comprising:

[0033] Modeling module: used to construct an equivalent heat source model using the modeling method described in any one of the first aspects;

[0034] Welding simulation module: used to load the workpiece model to be welded, and to simulate welding the workpiece model using the constructed equivalent heat source model to obtain welding simulation data.

[0035] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0036] The oscillating laser welding equivalent heat source modeling method provided in this invention extracts the energy distribution curve along the direction of the heat source center position in the energy distribution cloud map, obtains the spatial position information of multiple target interest points, and couples the multiple spatial position information according to the characteristics of the energy distribution curve to construct an equivalent Gaussian heat source model. This transforms the energy distribution of the oscillating laser welding heat source into the coupling of the spatial energy of multiple heat sources, thereby simplifying the calculation process and realizing the establishment of a high-precision equivalent Gaussian heat source model for laser welding heat source under different oscillation modes. The parameters of the equivalent Gaussian heat source model can reach the threshold without multiple adjustments, greatly shortening the heat source verification cycle during oscillating laser welding simulation, and thus improving the simulation efficiency of the entire oscillating laser welding. Attached Figure Description

[0037] Figure 1 This is a flowchart of a method for modeling an equivalent heat source for oscillating laser welding, provided in an embodiment of the present invention.

[0038] Figure 2 This is an energy distribution cloud map constructed based on the heat source parameters of an actual laser welding heat source, as provided in an embodiment of the present invention.

[0039] Figure 3 Based on Figure 2 The energy distribution cloud map shown is an energy distribution cloud map of a Gaussian heat source model constructed using the oscillating laser welding equivalent heat source modeling method provided in this embodiment of the invention;

[0040] Figure 4 A comparison diagram of the welding thermal field distribution obtained by substituting the equivalent Gaussian heat source model constructed in the embodiments of the present invention into the welding simulation and the actual weld cross-section. Detailed Implementation

[0041] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments and specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations thereof. In the absence of conflict, the embodiments and technical features in the embodiments can be combined with each other.

[0042] Example 1:

[0043] It should be noted that the oscillating laser welding equivalent heat source modeling method provided in this embodiment can be applied to a terminal. This terminal should be configured with a Win7 or later system, a 32 / 64-bit operating system, and a compilation environment such as C, LabVIEW, or Python, and should have callable mathematical tools such as MATLAB, Python, and C installed. The oscillating laser welding equivalent heat source modeling method provided in this embodiment achieves the establishment of equivalent, high-precision models of the laser welding heat source under different oscillation modes. The equivalent heat source parameters can reach the threshold without multiple adjustments, greatly shortening the verification cycle of the oscillating laser welding heat source. This method can be applied to oscillating laser welding simulation, thereby improving the overall efficiency of welding simulation.

[0044] Figure 1 This is a flowchart illustrating a method for modeling an equivalent heat source in oscillating laser welding according to Embodiment 1 of the present invention. This flowchart merely shows the logical sequence of the method described in this embodiment. Without conflict, in other possible embodiments of the present invention, different methods may be used. Figure 1 The steps shown or described are performed in the indicated order. Specifically, the following steps are included:

[0045] Step 1: Based on the heat source parameters of the actual laser welding heat source to be modeled, construct an energy distribution cloud map of the actual laser welding heat source under different oscillation trajectories, oscillation frequencies, oscillation amplitudes, and oscillation speeds per unit time;

[0046] The actual laser welding heat source may include any one or more combinations of cylindrical heat sources, conical heat sources, double ellipsoidal heat sources, surface heat sources, etc. The modeling method provided in this embodiment of the invention can use two different heat sources to couple in spatial position, and the number of couplings is unlimited, two or more are acceptable.

[0047] In this embodiment of the invention, mathematical tools such as MATLAB / Python can be used to establish an energy distribution map. The input parameters include laser power P, heat source radius r, and heat source center position Y. In the initial state, the laser welding heat source does not actually oscillate, and the laser energy distribution on the focusing plane is a standard circular spot. When focused, it follows a Gaussian normal distribution in the X-axis (welding direction) and Y-axis directions.

[0048] like Figure 2The image shows the energy distribution cloud map of the actual laser heat source under the conditions of laser power 6kW, heat source radius 0.6mm, and circular oscillation trajectory (oscillation amplitude 2mm, oscillation frequency 40Hz). In the image, the left side is the left view, where the horizontal and vertical axes represent the spatial positions perpendicular to the welding direction, and the vertical axis represents the heat source energy density. The right side is the top view, where the horizontal axis represents the spatial positions parallel to the welding direction, and the vertical axis represents the spatial positions perpendicular to the welding direction. In the image, the darker areas have higher energy density, and the lighter areas have lower energy density. This is because the laser beam oscillates during the welding process, resulting in uneven energy density distribution at different locations, producing peaks and troughs.

[0049] Step 2: In the energy distribution cloud map, extract the energy distribution curve along the direction of the heat source center, select multiple target points of interest on the energy distribution curve, and determine the spatial location information of each target point of interest;

[0050] For an energy distribution cloud map, there is only one energy distribution curve extracted from the center of the heat source. Multiple target points of interest are extracted from this curve, and each spatial location can be used to construct a Gaussian heat source model. In this embodiment of the invention, the spatial location information of the target points of interest includes the coordinates of the two locations with the highest energy density and the coordinates of the one location with the lowest energy density in the energy distribution cloud map. Figure 2 For example, the two locations with the highest energy density are the two peaks in the figure, and the location with the lowest energy density is the trough in the figure.

[0051] Step 3: Based on the spatial location information of the target interest points and the characteristics of the energy distribution curve, construct corresponding equivalent Gaussian heat source models for each target interest point, and determine the heat source power and heat source radius of the Gaussian heat source model based on the energy distribution of the actual laser welding heat source.

[0052] The Gaussian heat source model is constructed based on the following expression:

[0053] q i+1 (x,y,z)=A i+1 f i+1 (x,y,z)

[0054] In the formula, q i+1 (x, y, z) represents the heat flux density function of the i-th Gaussian heat source model, where x, y, and z represent the coordinates of the i-th Gaussian heat source model in the spatial coordinate system. The X-axis represents the welding direction, the Y-axis represents the direction perpendicular to the welding direction, and the Z-axis represents the welding depth direction. i+1 This represents the energy coefficient of the i-th Gaussian heat source model. f i+1 (x,y,z) represents the shape function of the i-th Gaussian heat source model. h i+1 r represents the effective depth of the i-th Gaussian heat source model; i η represents the heat source radius of the i-th Gaussian heat source model; i+1 P represents the power efficiency coefficient of the i-th Gaussian heat source model; i+1 R(z) represents the actual power of the i-th Gaussian heat source model; R(z) represents the heat flux distribution function of the i-th Gaussian heat source model. The value of i can be determined by the fitting effect. For example, if two Gaussian heat source models are superimposed to replace the actual laser welding heat source, and the fit does not meet the set threshold, in addition to adjusting the position of the Gaussian heat source, the value of i can also be adjusted. In some embodiments, the value of i is the same as the number of selected target interest points. When the fitting effect can achieve the expected effect, the value of i can be less than the number of target interest points.

[0055] Step 4: Verify the consistency between the Gaussian heat source model and the actual laser welding heat source, and use the verified Gaussian heat source model as the equivalent heat source model of the actual laser welding heat source.

[0056] The method for verifying the consistency between the Gaussian heat source model and the actual laser welding heat source includes:

[0057] Construct an energy distribution cloud map of the Gaussian heat source model and compare it with the energy distribution cloud map of the actual laser welding heat source. The comparison includes the heat source's effective range, the coordinates of the location point with the maximum energy density, and the coordinates of the location point with the minimum energy density. Obtain the cloud map to verify the degree of agreement.

[0058] Substitute the Gaussian heat source model into the welding simulation model to obtain the thermal field distribution during the welding process. Compare it with the actual weld cross-sectional morphology to obtain the weld morphology verification degree of consistency.

[0059] The conformity verification is passed only when both the conformity of the cloud map verification and the conformity of the weld morphology verification are greater than the set conformity threshold.

[0060] In this embodiment of the invention, the matching threshold can be set to 90%. If the matching degree is lower than the set threshold during verification, the heat source power and heat source radius can be finely adjusted to ensure the matching degree of energy distribution.

[0061] See Figure 3 It is based on Figure 2 The energy distribution cloud map shown is an energy distribution cloud map of a Gaussian heat source model constructed using the oscillating laser welding equivalent heat source modeling method provided in this embodiment of the invention. (Comparison) Figure 2 , Figure 3It can be seen that the energy distribution of the equivalent heat source model constructed using the method provided in the embodiments of the present invention is in extremely high agreement with the actual energy distribution cloud map of oscillating laser welding. There are only slight differences at the welding start and end points, but these differences are negligible for the simulation analysis of the entire welding process.

[0062] See Figure 4 The image shows a comparison between the welding thermal field distribution obtained from the established equivalent Gaussian heat source model and the actual weld cross-section. The weld morphology shows a high degree of agreement, proving the effectiveness of the equivalent heat source model. Generally, when the energy cloud map of the equivalent heat source shows a high degree of agreement, the weld cross-section verification can also meet the threshold requirements.

[0063] In summary, the oscillating laser welding equivalent heat source modeling method provided by this invention extracts the energy distribution curve along the direction of the heat source center position in the energy distribution cloud map, obtains the spatial position information of multiple target interest points, and couples the multiple spatial position information according to the characteristics of the energy distribution curve to construct an equivalent Gaussian heat source model. This transforms the energy distribution of the oscillating laser welding heat source into the coupling of spatial energy of multiple heat sources. The known oscillating welding heat source oscillates periodically over time, occupying different positions on the trajectory at different times. Therefore, there is energy distribution information in the time dimension. The equivalent replacement heat source is equivalent to changing this time distribution into the superposition of several equivalent Gaussian heat sources. Since the equivalent Gaussian heat source does not have an oscillation trajectory, the energy distribution in the time dimension is transformed into the superposition of multiple energies in the spatial dimension, thereby simplifying the calculation process and realizing the establishment of a high-precision equivalent Gaussian heat source model for laser welding heat sources under different oscillation modes. The parameters of the equivalent Gaussian heat source model can reach the threshold without multiple adjustments, greatly shortening the heat source verification cycle during oscillating laser welding simulation, and thus improving the simulation efficiency of the entire oscillating laser welding.

[0064] Example 2:

[0065] This invention provides a simulation method for oscillating laser welding, the method comprising:

[0066] The equivalent Gaussian heat source model is constructed using the modeling method described in Example 1;

[0067] Load the workpiece model to be welded, and use the constructed Gaussian heat source model to simulate welding the workpiece model to obtain welding simulation data.

[0068] The oscillating laser welding simulation method provided in this embodiment includes the oscillating laser welding equivalent heat source modeling method as described in Embodiment 1, and has the corresponding beneficial effects of the execution method. Related technical details not described in this embodiment can be found in Embodiment 1. Because the oscillating laser welding equivalent heat source modeling method described in Embodiment 1 can greatly shorten the heat source verification cycle during oscillating laser welding simulation, it can thus improve the overall simulation efficiency of oscillating laser welding.

[0069] Example 3:

[0070] This invention provides a device for modeling an equivalent heat source for oscillating laser welding, comprising:

[0071] Energy distribution cloud map construction module: used to construct the energy distribution cloud map of the actual laser welding heat source under different swing trajectories, swing frequencies and swing amplitudes based on the heat source parameters of the actual laser welding heat source to be modeled;

[0072] Extraction module: used to extract the energy distribution curve along the direction of the center of the heat source in the energy distribution cloud map, and select multiple target points of interest on the energy distribution curve to determine the spatial location information of each target point of interest;

[0073] Equivalent Gaussian heat source model construction module: used to construct corresponding equivalent Gaussian heat source models for each target interest point based on the spatial location information of the target interest point and the characteristics of the energy distribution curve, and to determine the heat source power and heat source radius of the Gaussian heat source model based on the energy distribution of the actual laser welding heat source;

[0074] Verification module: used to verify the consistency between the Gaussian heat source model and the actual laser welding heat source, and to use the verified Gaussian heat source model as the equivalent heat source model of the actual laser welding heat source.

[0075] The oscillating laser welding equivalent heat source modeling device provided in this embodiment of the invention can execute the oscillating laser welding equivalent heat source modeling method provided in Embodiment 1 of the invention, and has the corresponding beneficial effects of the method. Related technical details not described in this embodiment can be found in Embodiment 1, and will not be repeated here.

[0076] Example 4:

[0077] This invention provides a swing laser welding simulation device, comprising:

[0078] Modeling module: used to construct and obtain an equivalent heat source model using the modeling method described in Example 1;

[0079] Welding simulation module: used to load the workpiece model to be welded, and to simulate welding the workpiece model using the constructed equivalent heat source model to obtain welding simulation data.

[0080] The oscillating laser welding simulation device provided in this embodiment of the invention can execute the oscillating laser welding simulation method provided in Embodiment 2 of the invention, and has the corresponding beneficial effects of the method. Related technical details not described in this embodiment can be found in Embodiment 2, and will not be repeated here.

[0081] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method of modeling a moving laser welding equivalent heat source, characterized by, The method includes: Based on the heat source parameters of the actual laser welding heat source to be modeled, construct the energy distribution cloud map of the actual laser welding heat source under different swing trajectories, swing frequencies, swing amplitudes and swing speeds per unit time; In the energy distribution cloud map, extract the energy distribution curve along the direction of the center of the heat source; Multiple target interest points are selected on the energy distribution curve, and the spatial location information of each target interest point is determined. Based on the spatial location information of the target interest points and the characteristics of the energy distribution curve, an equivalent Gaussian heat source model is constructed for each target interest point, and the heat source power and heat source radius of the Gaussian heat source model are determined according to the energy distribution of the actual laser welding heat source. The Gaussian heat source model and the actual laser welding heat source are verified to have a good match. The verified Gaussian heat source model is used as the equivalent heat source model of the actual laser welding heat source.

2. The method of claim 1, wherein, The actual laser welding heat source includes any one or more combinations of cylindrical heat sources, conical heat sources, double ellipsoidal heat sources, and surface heat sources.

3. The method of claim 1, wherein, The spatial location information of the target point of interest includes the coordinates of the two locations with the highest energy density and the coordinates of the location with the lowest energy density in the energy distribution cloud map.

4. The method of claim 1, wherein, The heat source parameters include heat source power, heat source radius, and heat source center location.

5. The method of claim 1, wherein, The method for verifying the consistency between the Gaussian heat source model and the actual laser welding heat source includes: Construct an energy distribution cloud map of the Gaussian heat source model and compare it with the energy distribution cloud map of the actual laser welding heat source. The comparison includes the heat source's effective range, the coordinates of the location point with the maximum energy density, and the coordinates of the location point with the minimum energy density. Obtain the cloud map to verify the degree of agreement. Substitute the Gaussian heat source model into the welding simulation model to obtain the thermal field distribution during the welding process. Compare it with the actual weld cross-sectional morphology to obtain the weld morphology verification degree of consistency. The conformity verification is passed only when both the conformity of the cloud map verification and the conformity of the weld morphology verification are greater than the set conformity threshold.

6. The method of claim 5, wherein, The set matching threshold is 90%.

7. The method of claim 1, wherein, The Gaussian heat source model is constructed based on the following expression: q i+1 (x,y,z) = A i+1 f i+1 (x,y,z) In the formula, q i+1 (x, y, z) represents the heat flux density function of the i-th Gaussian heat source model, where x, y, and z represent the coordinates of the i-th Gaussian heat source model in the spatial coordinate system. The X-axis represents the welding direction, the Y-axis represents the direction perpendicular to the welding direction, and the Z-axis represents the welding depth direction. i+1 This represents the energy coefficient of the i-th Gaussian heat source model. f i+1 (x,y,z) represents the shape function of the i-th Gaussian heat source model. h i+1 r represents the effective depth of the i-th Gaussian heat source model; i This represents the heat source radius of the i-th Gaussian heat source model; η i+1 represents the power effectiveness coefficient of the ith Gaussian heat source model; P i+1 represents the actual power of the ith Gaussian heat source model; R(z) represents the heat flow distribution function of the ith Gaussian heat source model.

8. A method of simulating a swing laser welding, characterized by, The method includes: An equivalent heat source model is constructed using the modeling method described in any one of claims 1 to 7; Load the workpiece model to be welded, and use the constructed equivalent heat source model to simulate welding the workpiece model to obtain welding simulation data.

9. A device for modeling an equivalent heat source for a wobble laser weld, the device comprising: include: Energy distribution cloud map construction module: used to construct the energy distribution cloud map of the actual laser welding heat source under different swing trajectories, swing frequencies and swing amplitudes based on the heat source parameters of the actual laser welding heat source to be modeled; Extraction module: used to extract the energy distribution curve along the direction of the center of the heat source in the energy distribution cloud map, and select multiple target points of interest on the energy distribution curve to determine the spatial location information of each target point of interest; Equivalent Gaussian heat source model construction module: used to construct corresponding equivalent Gaussian heat source models for each target interest point based on the spatial location information of the target interest point and the characteristics of the energy distribution curve, and to determine the heat source power and heat source radius of the Gaussian heat source model based on the energy distribution of the actual laser welding heat source; Verification module: used to verify the consistency between the Gaussian heat source model and the actual laser welding heat source, and to use the verified Gaussian heat source model as the equivalent heat source model of the actual laser welding heat source.

10. A oscillating laser welding simulation device, characterized in that, include: Modeling module: used to construct an equivalent heat source model using the modeling method described in any one of claims 1 to 7; Welding simulation module: used to load the workpiece model to be welded, and to simulate welding the workpiece model using the constructed equivalent heat source model to obtain welding simulation data.

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