Equivalent method for transformer core mechanical simulation model
By constructing a core partition model and setting different elastic modulus ranges, and adjusting the set values of each region model, the problem that the influence of clamping components was not considered in the existing technology was solved, and the accurate solution of transformer core mechanical simulation was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUXI PUTIAN IRON CORE CO LTD
- Filing Date
- 2025-12-29
- Publication Date
- 2026-04-24
AI Technical Summary
Existing technologies do not consider the influence of clamping components in the mechanical simulation analysis of transformer cores, resulting in insufficient accurate solutions for stress, deformation and main stage pressure distribution, and neglecting the supporting and pressure-bearing role of the silicon steel stacked structure on the clamping components.
By constructing a core partition model, setting different ranges of elastic modulus selection according to the degree of stress, and adjusting the set values of each region model, the stress, displacement, and main stage pressure distribution of the clamping fittings can be accurately solved.
It achieves accurate solutions for stress, displacement, and main stage pressure distribution in the simulation of clamping components, reflects the differences in physical properties and load distribution at different locations of the core, and controls the matching of simulation data with experimental data.
Smart Images
Figure CN121920064A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of simulation calculation, and in particular to an equivalent method for simulating the mechanical model of a transformer core. Background Technology
[0002] Current mechanical simulation analyses of iron core structural components mostly fail to consider the impact of assembly on clamping parts. They treat the stress-free and deformation-free clamping parts as the initial state for analysis and directly apply working loads. Furthermore, during modeling, the silicon steel stacked structure is considered a rigid body compared to the clamping parts, thus ignoring the influence of the stacked structure on stiffness. Generally, the physical property parameters of silicon steel core structures in the motor industry are referenced. Overall, this simplifies the analysis process and cannot guarantee accurate solutions for the stress, deformation, and main stage pressure distribution of the clamping parts.
[0003] During assembly, clamping force causes displacement, stress, and slight deformation of the clamping parts. The silicon steel stacked structure supports and withstands pressure on the clamping parts. Therefore, the equivalent accuracy of the silicon steel stacked structure plays a crucial role in calculating the assembly displacement, stress, and deformation of the clamping parts. Summary of the Invention
[0004] In view of the shortcomings of the prior art, the purpose of this invention is to provide an equivalent method for simulating the mechanical properties of a transformer core, so as to solve one or more problems in the prior art.
[0005] To achieve the above objectives, the technical solution of the present invention is as follows: An equivalent method for simulating the mechanical properties of a transformer core includes the following steps: Acquire test data and corresponding core parameters for the test core, wherein the test data includes the core equivalent pressure-strain curve, main stage pressure distribution data, and compression displacement test data; The highest threshold of the elastic modulus is determined based on the equivalent pressure-strain curve of the iron core. Based on the main stage pressure distribution data, multiple stress zones and the corresponding stress degree of each stress zone are determined; Different ranges of elastic modulus selection are set for the stress area according to the degree of stress. The upper limit of the range of elastic modulus selection is lower than or equal to the highest threshold. A core partitioning model is constructed based on the stress region and core parameters. The core partitioning model contains multiple region models that correspond one-to-one with the stress region. A specific value is selected from each range of elastic moduli as the set value for the corresponding region model; Mechanical simulations were performed on the core partition model based on the set values of each region model to obtain the simulated compression displacement and stress values of each region. Calculate the deviation between the simulated compression displacement and the experimental compression displacement, and determine whether the deviation is within the preset permissible range. If not, adjust the settings of each region's model and re-perform the mechanical simulation until the deviation is within the permissible range. If so, then determine whether the stress values of each region, ordered from largest to smallest, are the same as the stress intensity of the corresponding region, ordered from largest to smallest. If they are different, adjust the settings according to the difference in sorting and re-perform the mechanical simulation until the sorting is the same; If they are the same, output the setting values of each region model.
[0006] Furthermore, setting different elastic modulus selection ranges for the stress-bearing region includes the following steps: Different stress zones are classified according to the degree of stress to form high-stiffness zones and low-stiffness zones; The high stiffness regions are sorted in descending order of stress intensity. The upper limit of the range of elastic modulus selection for the high stiffness region with the highest stress intensity is the highest threshold value, and the upper limit values of the range of elastic modulus selection for the other high stiffness regions decrease in descending order of stress intensity. The range of elastic modulus selection is the same for all low-stiffness regions, and the upper limit of the elastic modulus selection range is lower than the upper limit of the elastic modulus selection range for the high-stiffness region with the least stress.
[0007] Furthermore, before setting different elastic modulus selection ranges for the stress-bearing region, the following steps are included: Establish an overall model of the iron core based on the iron core parameters; The experimental data were substituted into the overall model of the iron core to calculate the overall value of the elastic modulus; The overall value is used as the lower limit of the range of elastic modulus selection in the high stiffness region, and the overall value is used as the upper limit of the range of elastic modulus selection in the low stiffness region.
[0008] Furthermore, adjusting the settings of each region model includes the following steps: Determine if the number of adjustments is 1. If so, adjust the setting value for the small stiffness region within the corresponding elastic modulus selection range. If not, check if the number of adjustments is 2. If so, adjust the setting value of the large stiffness region within the corresponding elastic modulus selection range; If not, adjust the setting value of the small stiffness region if it exceeds the corresponding elastic modulus selection range; When the deviation value is within the preset allowable range, initialize the number of adjustments, with an initial value of 0. When the deviation value exceeds the preset allowable range, the adjustment count is incremented by one before adjusting the settings of each area model.
[0009] Furthermore, adjusting the set value based on the difference in sorting includes the following steps: The regions in the first half of the sequence, ordered from largest to smallest force, are defined as the first sequence, and the regions in the second half of the sequence are defined as the second sequence. Adjust the settings corresponding to each region in the second sequence to satisfy the order of the second sequence, and re-perform the mechanical simulation until the deviation value is within the allowable range and the order of the second sequence is satisfied; Adjust the settings corresponding to each region in the first sequence to satisfy the order of the first sequence, and re-perform the mechanical simulation until the deviation value is within the permissible range and satisfies the order of the first and second sequences.
[0010] Furthermore, adjusting the settings of each region model includes the following steps: Determine the influencing factors for each region; Determine the difference between the deviation value and the permissible range; The overall adjustment range is determined based on the difference. The overall adjustment range is broken down into sub-regional adjustment ranges corresponding to each region based on the influence factors of each region. The smaller the influence factor, the larger the corresponding sub-regional adjustment range. Adjust the settings for the corresponding regions based on the adjustment range of the sub-regions.
[0011] Furthermore, determining the influencing factors for each region includes the following steps: A set of data is randomly selected from the range of elastic modulus corresponding to each region for simulation calculation to obtain the reference amount of compression displacement; The elastic modulus of each region was adjusted by the same adjustment range, and simulation calculations were performed again to obtain the compression displacement change corresponding to each region. Calculate the degree of change of each compression displacement and the reference compression displacement separately; The influencing factors for each region were determined by combining the degree of change in all regions.
[0012] Compared with the prior art, the beneficial technical effects of the present invention are as follows: the introduction of a core partition model reflects the differences in physical properties and load distribution at different locations of the core; and the matching of simulation data with experimental data is controlled, and the elastic modulus of each region required by the model is calibrated and corrected, thereby achieving accurate solution of stress, displacement, and main stage pressure distribution in the simulation of the clamping fittings. Attached Figure Description
[0013] Figure 1The flowchart of an equivalent method for a mechanical simulation model of a transformer core provided by an embodiment of the present invention is shown.
[0014] Figure 2 The equivalent pressure-strain curve of the iron core provided in the embodiment of the present invention is shown.
[0015] Figure 3 The diagram shows the main stage pressure distribution cloud map obtained from the core test provided in the embodiment of the present invention.
[0016] Figure 4 A schematic diagram of the core partitioning model provided in an embodiment of the present invention is shown.
[0017] Figure reference numerals: 1. Central column joint area; 2. Upper part of yoke joint area; 3. Main body of yoke; 4. Influence area of through bolt; 5. End area of yoke; 6. Side column joint area; 7. End area of side column; 8. Main body of side column; 9. Main body of central column; 10. End area of central column. Detailed Implementation
[0018] An equivalent method for simulating the mechanical properties of a transformer core, see [link to relevant documentation]. Figure 1 This includes the following steps: S100: Obtain test data and the core parameters of the corresponding test core.
[0019] The test data includes the core equivalent pressure-strain curve, the main stage pressure distribution data, and the compression displacement test data.
[0020] Figure 2 This is the equivalent pressure-strain curve of the iron core. The horizontal axis represents the equivalent strain ε, and the vertical axis represents the equivalent pressure σ.
[0021] An equivalent elastic modulus test was designed, with clamping forces F of different gradients set, and the core compression displacement ΔL under different clamping forces was measured. Then, using the formulas σ=F / A and ε=ΔL / L, where L is the core thickness when unstressed, multiple equivalent pressures σ and corresponding equivalent strains ε were calculated. Finally, the equivalent pressure-strain curve of the core was plotted.
[0022] Figure 3 This is a pressure distribution cloud map of the main stage, obtained by measuring the pressure in the main stage of the core using a thin-film pressure sensor. The pressure distribution data of the main stage can be directly obtained from this cloud map. Because the core has a symmetrical structure, it is not necessary to deploy thin-film pressure sensors throughout the entire main stage of the core during testing. Figure 3 The diagram only shows the pressure distribution contours at the end of one side column and half of the yoke.
[0023] The compressive displacement test value refers to the displacement produced by an average surface pressure of 0.24 MPa. Subsequent mechanical simulations also use a surface pressure of 0.24 MPa as one of the input parameters to control variables.
[0024] The core parameters for the aforementioned test cores include core stack thickness and main stage area.
[0025] S200. Determine the highest threshold of the elastic modulus based on the equivalent pressure-strain curve of the iron core.
[0026] See Figure 2 The equivalent pressure-strain curve of the iron core is a curve with a gradually increasing slope, indicating that the core stiffness gradually increases during compression. The equivalent elastic modulus of the segment with the maximum slope of the curve is calculated to be 200 MPa, therefore 200 MPa is set as the highest threshold.
[0027] S300. Based on the main stage pressure distribution data, determine multiple stress zones and the stress level corresponding to each stress zone. According to the different stress levels, set different ranges for selecting the elastic modulus of the stress zones.
[0028] See Figure 3 It can be clearly seen that the stress levels in different areas of the main stage are significantly different. For example, the area where the through bolt is located is a load-concentrated area; the area where the side post joint has a large number of shearing burrs, and since the thickness is higher than other positions, it will also be subjected to more loads. The stress areas determined based on the main stage pressure distribution data include side post joint area 6, side post end area 7, middle post joint area 1, middle post end area 10, yoke end area 5, upper part of yoke joint 2, yoke main body area 3, and through bolt influence area 4. For specific distribution details, please refer to [reference needed]. Figure 4 The stress distribution from highest to lowest is as follows: Side column joint area 6 ≥ Through bolt influence area 4 > Side column end area 7 > Yoke main body area 3 > Yoke end area 5 > Middle column joint area 1 > Middle column end area 10 > Upper part of yoke joint 2.
[0029] In addition to the aforementioned regions, the entire core structure also includes the side column main body region 8 and the central column main body region 9. However, since the side columns and central columns have little impact on compressive displacement, and the main research object of compressive displacement is the yoke, these two regions were not included in the distributed pressure test and are not ranked in terms of stress areas. Their parameters are only required input items during simulation.
[0030] Based on the different degrees of stress, a range of elastic modulus selection is assigned to each stress area. The upper limit of the elastic modulus selection range for the edge column joint should be the maximum, but the maximum cannot exceed the highest threshold determined in step S200.
[0031] S400. Construct a core partitioning model based on the stress area and core parameters.
[0032] The core partitioning model contains multiple region models that correspond one-to-one with the stress-bearing regions, and its model structure is similar to... Figure 4 The iron core structure shown.
[0033] S500. Determine a specific value from each range of elastic moduli as the set value for the corresponding region model.
[0034] When initially determining the set value, a value is randomly selected from the corresponding range of elastic modulus as the set value.
[0035] S600: Perform mechanical simulation on the core partition model according to the set values of each region model to obtain the simulated amount of compression displacement and the stress value of each region.
[0036] S700: Calculate the deviation between the simulated compression displacement and the experimental compression displacement, and determine whether the deviation is within the preset permissible range.
[0037] If the deviation value is not within the preset permissible range, adjust the settings of each region model and re-perform the mechanical simulation until the deviation value is within the permissible range.
[0038] The deviation value is the difference between the simulated compression displacement and the experimental compression displacement, divided by the experimental compression displacement. In this embodiment, the preset allowable range is -4% to 4%.
[0039] When the deviation value is not within the preset permissible range, the settings of each region model are adjusted to make the simulated compression displacement obtained after the adjustment more closely resemble the experimental compression displacement. Specifically, when the deviation value is negative, the settings of each region model need to be decreased; when the deviation value is positive, the settings of each region model need to be increased.
[0040] In addition, considering that if the deviation value exceeds the permissible range by too much, it may lead to frequent adjustments, an additional reset range is set. The reset range covers and is greater than the permissible range. In this embodiment, the reset range is -10% to 10%.
[0041] After the deviation value exceeds the permissible range, it is then determined whether the deviation value is within the reset range.
[0042] If the deviation value exceeds the permissible range but is within the reset range, adjust the settings of each region model.
[0043] If the deviation value exceeds the permissible range and also exceeds the reset range, then step S500 is executed to re-randomize a set of settings for simulation.
[0044] S800. If the deviation value is within the preset permissible range, determine whether the stress values of each region from largest to smallest are the same as the stress intensity of the corresponding region from largest to smallest.
[0045] If the stress values of each region are not sorted from largest to smallest according to the stress intensity of the corresponding region, the set values are adjusted according to the difference in sorting, and the mechanical simulation is repeated until the sorting is the same.
[0046] S900. If the stress values of each region are sorted from largest to smallest in the same way as the stress intensity of the corresponding region is sorted from largest to smallest, then the set values of the model for each region will be output.
[0047] When the stress values of each region are sorted from largest to smallest in the same order as the stress intensity of the corresponding region from largest to smallest, and the deviation is within the preset allowable range, it indicates that the parameters of the simulated core model are very close to the actual test core performance, and the set values of each region model are basically in line with the actual situation. Therefore, the corresponding set values can be output.
[0048] When the deviation value is within the preset permissible range, but the order of stress values is different from the order of stress intensity, it indicates that the acceptable deviation value is only produced by chance due to the current combination of set values, while the actual set values of each area deviate from the actual values and still need to be adjusted.
[0049] In one embodiment, setting different elastic modulus selection ranges for the stress-bearing region includes the following steps: S310. Classify different stress areas according to the degree of stress to form high-stiffness areas and low-stiffness areas.
[0050] S320. Sort the high stiffness regions in descending order of stress intensity.
[0051] S330. The range of elastic modulus selection is the same for all small stiffness regions, and the upper limit of the elastic modulus selection range is lower than the upper limit of the elastic modulus selection range for the large stiffness region with the least stress.
[0052] Among them, the upper limit of the range of elastic modulus selection for the high stiffness region with the greatest stress is the highest threshold value, and the upper limit of the range of elastic modulus selection for the other high stiffness regions decreases in order of sorting.
[0053] In this embodiment, based on the main stage pressure distribution data, the high-stiffness regions are the side column joint area and the through bolt influence area, with the side column joint area being the high-stiffness region with the greatest stress, while the remaining stress areas are low-stiffness regions. The upper limit of the high-stiffness region is set to decrease by 50 MPa sequentially.
[0054] In this embodiment, the upper limit of the range of elastic modulus selection for the edge column joint area is 200 MPa, and the upper limit of the range of elastic modulus selection for the area affected by the through bolt is 150 MPa.
[0055] The lower limit of the elastic modulus in the low stiffness region is set to 0.
[0056] The lower limit of the elastic modulus in the high stiffness region can also be set to 0, while the upper limit of the elastic modulus in the low stiffness region can be set slightly lower than the lowest upper limit in the high stiffness region.
[0057] In one embodiment, before setting different ranges of elastic modulus selection for the stressed region, the following steps are included: S301. Establish an overall model of the iron core based on the iron core parameters.
[0058] S302. Substitute the test data into the overall model of the iron core to calculate the overall value of the elastic modulus.
[0059] S303. Use the overall value as the lower limit of the range of elastic modulus selection for the high stiffness region, and use the overall value as the upper limit of the range of elastic modulus selection for the low stiffness region.
[0060] Compared to the core partition model, the overall core model does not have different stress areas, and the entire core model uses the same elastic modulus.
[0061] The process of calculating the overall value of the elastic modulus is as follows: The elastic modulus of the overall core model was set to 10 MPa, 20 MPa, 30 MPa, ..., 100 MPa, and simulations were performed to obtain the corresponding displacements. The simulated displacements were compared with the experimental displacements, and the elastic modulus value that was closest to the experimental displacement was selected. Two data points were generated by increasing and decreasing the value by 5 MPa, and simulations were performed again to further verify which data point corresponded to a displacement value that was closer to the experimental displacement. The data point with the last displacement value that was closer to the experimental displacement was selected as the overall value.
[0062] In this embodiment, the displacement when the elastic modulus is 60 MPa is closest to the displacement test value, and the overall value of the elastic modulus is 60 MPa.
[0063] By determining the overall value, the lower limit of the selection range of the elastic modulus in the high stiffness region and the upper limit of the selection range of the elastic modulus in the low stiffness region can be accurately determined, which greatly narrows the selection range of the elastic modulus in the high stiffness region, which helps to reduce subsequent iterative calculations and improve calculation efficiency.
[0064] In one embodiment, adjusting the settings of each region model includes the following steps: S710. Determine if the number of adjustments is 1.
[0065] S720. If the number of adjustments is 1, adjust the setting value of the small stiffness region within the corresponding elastic modulus selection range.
[0066] S730. If the number of adjustments is not 1, determine whether the number of adjustments is 2.
[0067] S731. If the number of adjustments is 2, adjust the setting value of the large stiffness region within the corresponding elastic modulus selection range. S732. If the number of adjustments is not 2, adjust the setting value of the small stiffness region if it exceeds the corresponding elastic modulus selection range.
[0068] The initial number of adjustments is 0. When the deviation value is within the preset allowable range, the number of adjustments is initialized; when the deviation value exceeds the preset allowable range, the number of adjustments is incremented by one before adjusting the settings of each region model.
[0069] Prioritizing adjustments to the settings in the low-stiffness region is crucial because this region occupies a significant portion of the core model's volume, making adjustments there more impact on overall displacement. Adjusting the settings in the high-stiffness region is the next best option, and only as a last resort should adjustments to the low-stiffness region be considered if they exceed the range of elastic modulus selection.
[0070] It should be noted that although both steps S720 and S732 are for adjusting all small stiffness regions, in step S720, if the set value of a small stiffness region exceeds the upper limit of the elastic modulus selection range, it is not allowed to exceed it; while in step S732, it is allowed to exceed the upper limit of the selection range.
[0071] In one embodiment, after determining the stress area that needs adjustment, the specific steps for adjusting the setting value of the corresponding stress area are as follows: S740. Determine the influencing factors for each region; S750. Determine the difference between the deviation value and the permissible range; S760. Determine the overall adjustment range based on the difference. S770. Based on the influence factors of each region, the overall adjustment range is broken down into the adjustment ranges of the corresponding sub-regions.
[0072] S780: Adjust the setting value of the corresponding area according to the adjustment range of the sub-area.
[0073] The overall adjustment range is determined based on the difference between the deviation value and the permissible range. For example, if the deviation value is 10%, which is 6% different from the upper limit of the permissible range (4%), then the corresponding overall adjustment range is also large; if the deviation value is 5%, then the overall adjustment range is small.
[0074] The influence factor refers to the degree of impact on the displacement result when the elastic modulus of the corresponding stress region is adjusted by the same amount. The larger the influence factor, the greater the impact on the displacement result after adjusting the elastic modulus by the same amount.
[0075] When the overall adjustment range is broken down into sub-regional adjustment ranges corresponding to each region based on the influence factors of each region, the region with the larger influence factor is allocated a larger sub-regional adjustment range, so as to complete the adjustment quickly.
[0076] In one embodiment, determining the influencing factors for each region includes the following steps: S741. Randomly select a set of data within the range of elastic modulus corresponding to each region for simulation calculation to obtain the reference amount of compression displacement.
[0077] S742. Adjust the elastic modulus of each region by the same adjustment range, and perform simulation calculations again to obtain the compression displacement change corresponding to each region.
[0078] S743. Calculate the degree of change of each compression displacement change and the compression displacement reference value respectively.
[0079] S744. Determine the influencing factors for each region by combining the degree of change in all regions.
[0080] In step S744, the degree of change in any given region is designated as the standard value, and its corresponding influence factor is 1. The quotient of the degree of change in the remaining regions and the standard value is used as a coefficient, which is then multiplied by the influence factor 1 to obtain the influence factor for the corresponding region. Therefore, the influence factor for each region is derived based on comparison with other regions and is not a conventional performance parameter.
[0081] In one embodiment, adjusting the set value based on the difference in sorting includes the following steps: S810. The regions in the first half of the sequence, ordered from largest to smallest force, are defined as the first sequence, and the regions in the second half of the sequence are defined as the second sequence.
[0082] S820. Adjust the settings corresponding to each region in the second sequence to satisfy the order of the second sequence, and re-perform the mechanical simulation until the deviation value is within the permissible range and satisfies the order of the second sequence.
[0083] S830. Adjust the set values corresponding to each region in the first sequence to meet the order of the first sequence, and re-perform the mechanical simulation until the deviation value is within the permissible range and meets the order of the first and second sequences.
[0084] The second sequence consists of regions with low stiffness, which occupy a relatively large volume of the entire model and are the main factors affecting the simulation displacement calculation results. Therefore, if the deviation value can be kept within the permissible range after adjusting the second sequence, the first sequence only needs to be fine-tuned.
[0085] In areas where the sorting order needs to be adjusted, the setting value should be decreased for areas that need to be moved backward and increased for areas that need to be moved forward.
[0086] When adjusting the set values corresponding to each region in the second sequence and when adjusting the set values corresponding to each region in the first sequence, since the set value adjustment involves at least two regions, the influence factor can be used to determine the adjustment range required for each region. For example, the adjustment range of the region with the smaller influence factor is greater than that of the region with the larger influence factor. Under the premise that the overall adjustment range can meet the change in the arrangement order, the simulation results are reduced from changing too much, and the possibility of repeated simulations is reduced.
[0087] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0088] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.
Claims
1. An equivalent method for simulating the mechanical properties of a transformer core, characterized in that, Includes the following steps: Acquire test data and corresponding core parameters for the test core, wherein the test data includes the core equivalent pressure-strain curve, main stage pressure distribution data, and compression displacement test data; The highest threshold of the elastic modulus is determined based on the equivalent pressure-strain curve of the iron core. Based on the main stage pressure distribution data, multiple stress zones and the corresponding stress degree of each stress zone are determined; Different ranges of elastic modulus selection are set for the stress area according to the degree of stress. The upper limit of the range of elastic modulus selection is lower than or equal to the highest threshold. A core partitioning model is constructed based on the stress region and core parameters. The core partitioning model contains multiple region models that correspond one-to-one with the stress region. A specific value is selected from each range of elastic moduli as the set value for the corresponding region model; Mechanical simulations were performed on the core partition model based on the set values of each region model to obtain the simulated compression displacement and stress values of each region. Calculate the deviation between the simulated compression displacement and the experimental compression displacement, and determine whether the deviation is within the preset permissible range. If not, adjust the settings of each region's model and re-perform the mechanical simulation until the deviation is within the permissible range. If so, then determine whether the stress values of each region, ordered from largest to smallest, are the same as the stress intensity of the corresponding region, ordered from largest to smallest. If they are different, adjust the settings according to the difference in sorting and re-perform the mechanical simulation until the sorting is the same; If they are the same, output the setting values of each region model.
2. The equivalent method for a transformer core mechanical simulation model as described in claim 1, characterized in that, Setting different elastic modulus selection ranges for the stress-bearing region includes the following steps: Different stress zones are classified according to the degree of stress to form high-stiffness zones and low-stiffness zones; The high stiffness regions are sorted in descending order of stress intensity. The upper limit of the range of elastic modulus selection for the high stiffness region with the highest stress intensity is the highest threshold value, and the upper limit values of the range of elastic modulus selection for the other high stiffness regions decrease in descending order of stress intensity. The range of elastic modulus selection is the same for all low-stiffness regions, and the upper limit of the elastic modulus selection range is lower than the upper limit of the elastic modulus selection range for the high-stiffness region with the least stress.
3. The equivalent method for a transformer core mechanical simulation model as described in claim 2, characterized in that, Before setting different elastic modulus selection ranges for the stress-bearing region, the following steps are included: Establish an overall model of the iron core based on the iron core parameters; The experimental data were substituted into the overall model of the iron core to calculate the overall value of the elastic modulus; The overall value is used as the lower limit of the range of elastic modulus selection in the high stiffness region, and the overall value is used as the upper limit of the range of elastic modulus selection in the low stiffness region.
4. The equivalent method for a transformer core mechanical simulation model as described in claim 2, characterized in that, The adjustment of the settings for each region model includes the following steps: Determine if the number of adjustments is 1. If so, adjust the setting value for the small stiffness region within the corresponding elastic modulus selection range. If not, check if the number of adjustments is 2. If so, adjust the setting value of the large stiffness region within the corresponding elastic modulus selection range; If not, adjust the setting value of the small stiffness region if it exceeds the corresponding elastic modulus selection range; When the deviation value is within the preset allowable range, initialize the number of adjustments, with an initial value of 0. When the deviation value exceeds the preset allowable range, the adjustment count is incremented by one before adjusting the settings of each area model.
5. The equivalent method for a transformer core mechanical simulation model as described in claim 1, characterized in that, The adjustment of the set value based on the difference in sorting includes the following steps: The regions in the first half of the sequence, ordered from largest to smallest force, are defined as the first sequence, and the regions in the second half of the sequence are defined as the second sequence. Adjust the settings corresponding to each region in the second sequence to satisfy the order of the second sequence, and re-perform the mechanical simulation until the deviation value is within the allowable range and the order of the second sequence is satisfied; Adjust the settings corresponding to each region in the first sequence to satisfy the order of the first sequence, and re-perform the mechanical simulation until the deviation value is within the permissible range and satisfies the order of the first and second sequences.
6. The equivalent method for a transformer core mechanical simulation model as described in claim 1, characterized in that, The adjustment of the settings for each region model includes the following steps: Determine the influencing factors for each region; Determine the difference between the deviation value and the permissible range; The overall adjustment range is determined based on the difference. The overall adjustment range is broken down into sub-regional adjustment ranges corresponding to each region based on the influence factors of each region. The smaller the influence factor, the larger the corresponding sub-regional adjustment range. Adjust the settings for the corresponding regions based on the adjustment range of the sub-regions.
7. The equivalent method for a transformer core mechanical simulation model as described in claim 6, characterized in that, Determining the influencing factors for each region includes the following steps: A set of data is randomly selected from the range of elastic modulus corresponding to each region for simulation calculation to obtain the reference amount of compression displacement; The elastic modulus of each region was adjusted by the same adjustment range, and simulation calculations were performed again to obtain the compression displacement change corresponding to each region. Calculate the degree of change of each compression displacement and the reference compression displacement separately; The influencing factors for each region were determined by combining the degree of change in all regions.