Grating security determination method

Abstract

The application relates to a grid safety determination method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring target structure parameters corresponding to a grid and a shape type according to the shape type of a section of the grid; and predicting the safety of the strength of the grid according to the corresponding target structure parameters, and a safety degree prediction model matched with the material type and the shape type of the grid. The method can improve the product yield.

Description

Technical Field

[0001] This application relates to the field of household appliance technology, and in particular to a method, apparatus, computer equipment, storage medium and computer program product for determining the safety of a grille. Background Technology

[0002] When designing household appliances, there are strict strength testing standards for specific injection molded parts structures. Currently, the impact strength of grilles in household appliances can be predicted through simulation.

[0003] However, the strength of the grid can only be simulated and predicted after the design is completed. If the grid after the design is completed cannot meet the strength test standards, there will be hidden dangers in product quality, resulting in a low product yield. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining the safety of a grille, in response to the above-mentioned technical problems.

[0005] Firstly, this application provides a method for determining the safety of a grille, the method comprising:

[0006] Based on the shape type of the grid's cross-section, obtain the target structural parameters corresponding to the shape type of the grid;

[0007] Based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, the strength safety of the grille is predicted.

[0008] In one embodiment, the safety prediction model includes a strength prediction model and corresponding calibration structural failure values;

[0009] The step of predicting the strength safety of the grille based on the corresponding target structural parameters and a safety prediction model matching the material type and shape type of the grille includes:

[0010] The strength prediction model is used to predict the target structural parameters to obtain the predicted strength value of the grid.

[0011] The strength and safety of the grid are predicted based on the relationship between the predicted strength value and the corresponding calibration structure failure value.

[0012] In one embodiment, the intensity prediction model is obtained by means of:

[0013] Obtain the material type and the actual structural parameters corresponding to the shape type of the grille that satisfy the strength and safety requirements of the grille;

[0014] Based on the actual structural parameters and the range corresponding to the preset structural parameters, multiple sets of experimental structural parameters are established.

[0015] An impact simulation model was established based on the extrapolated true stress curve of plastic strain. Based on the impact simulation model and multiple sets of experimental structural parameters, the corresponding fracture failure values ​​were obtained.

[0016] Using multiple sets of experimental structural parameters as variables and the corresponding fracture failure values ​​as objectives, the strength prediction model is obtained by fitting the multiple sets of experimental structural parameters and the corresponding fracture failure values.

[0017] In one embodiment, the method for obtaining the calibration structure failure value includes:

[0018] Obtain the first force-displacement curve obtained by tensile testing, the second force-displacement curve obtained by bending testing, and the first absorbed energy of the experimental specimen at material failure obtained by impact testing on the experimental specimen of the grid.

[0019] Based on the first force-displacement curve, the extrapolated plastic strain true stress curve is obtained;

[0020] Based on the extrapolated true stress curve of plastic strain, tensile simulation model, bending simulation model and impact simulation model are established;

[0021] The simulation object corresponding to the experimental spline is simulated using the tensile simulation model to obtain the third force-displacement curve.

[0022] The simulation object is simulated using the bending simulation model to obtain the fourth force-displacement curve;

[0023] The second absorbed energy is obtained by simulating the simulation object using the impact simulation model.

[0024] The failure value of the calibration structure is determined based on the similarity between the first force-displacement curve and the third force-displacement curve, the similarity between the second force-displacement curve and the fourth force-displacement curve, and the magnitude relationship between the first absorbed energy and the second absorbed energy.

[0025] In one embodiment, determining the failure value of the calibration structure based on the similarity between the first force-displacement curve and the third force-displacement curve, the similarity between the second force-displacement curve and the fourth force-displacement curve, and the magnitude relationship between the first absorbed energy and the second absorbed energy includes:

[0026] When the first force-displacement curve is similar to the third force-displacement curve, the second force-displacement curve is similar to the fourth force-displacement curve, and the magnitudes of the first absorbed energy and the second absorbed energy are the same, the material failure value corresponding to the first absorbed energy or the second absorbed energy is determined as the calibration structure failure value.

[0027] In one embodiment, obtaining the extrapolated true stress curve of plastic strain based on the first force-displacement curve includes:

[0028] The first force-displacement curve is converted into an engineering stress-strain curve, and the test curve corresponding to the elastic stage in the engineering stress-strain curve is obtained.

[0029] Obtain the true plastic stress-strain curve corresponding to the plastic stage in the aforementioned test curve;

[0030] The true stress curve of plastic strain is extrapolated to obtain the extrapolated true stress curve of plastic strain.

[0031] In one embodiment, the shape type is hexagonal, and the intensity prediction model satisfies the following formula:

[0032] The intensity prediction model = q 11 ×L1+q 12 ×L2+q 13 ×L3+q 14 ×L4+q 15 ×(L3) 2 +q 16 ×L0×L3+q 17 ×L1×L2+q 18 ×L1×L4+q 19 ×L2×L3+q 20 ×L3×L4+q 21 ;

[0033] Wherein, L0 is the length of the first side of the hexagon, which is located on the first face of the grid; L2 is the length of the second side of the hexagon, which is located on the second face of the grid; L1 is the length of the center line segment, which is parallel to the first side and the second side, and the two endpoints of the center line segment are the vertices of the hexagon; L3 is the distance between the first side and the center line segment; and L4 is the distance between the center line segment and the second side.

[0034] In one embodiment, the material type of the grille is PP-GF23, q 11 =-0.11, q 12 =-0.16, q 13=-0.112, q 14 The value is -0.061, q 15 q is 0.006. 16 =-0.004, q 17 q is 0.0225. 18 q is 0.006. 19 q is 0.013. 20 q is 0.003. 21 It is 1.013.

[0035] In one embodiment, the failure value of the calibration structure is 0.25.

[0036] In one embodiment, the material type of the grille is PBT-GF30_FR, q 11 =-0.2, q 12 =-0.1, q 13 =-0.03, q 14 The value is -0.042, q 15 q is 0.001. 16 =-0.007, q 17 q is 0.016. 18 q is 0.0015. 19 q is 0.032. 20 q is 0.004. 21 It is 0.83.

[0037] In one embodiment, the failure value of the calibration structure is 0.2.

[0038] In one embodiment, the material type of the grille is PP-HG-HR, q 11 =-0.3, q 12 =-0.21, q 13 The value is -0.026, q 14 The value is -0.037, q 15 q is 0.0018. 16 The value is -0.0045, q 17 q is 0.021. 18 q is 0.0023. 19 q is 0.027. 20 q is 0.0031. 21 It is 1.33.

[0039] In one embodiment, the failure value of the calibration structure is 0.32.

[0040] Secondly, this application provides a grid safety determination device, the device comprising:

[0041] The acquisition module is used to acquire the target structural parameters of the grille corresponding to the shape type of the grille's cross-section.

[0042] The prediction module is used to predict the strength safety of the grille based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille.

[0043] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0044] Based on the shape type of the grid's cross-section, obtain the target structural parameters corresponding to the shape type of the grid;

[0045] Based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, the strength safety of the grille is predicted.

[0046] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0047] Based on the shape type of the grid's cross-section, obtain the target structural parameters corresponding to the shape type of the grid;

[0048] Based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, the strength safety of the grille is predicted.

[0049] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0050] Based on the shape type of the grid's cross-section, obtain the target structural parameters corresponding to the shape type of the grid;

[0051] Based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, the strength safety of the grille is predicted.

[0052] The aforementioned method, apparatus, computer equipment, storage medium, and computer program product for determining the safety of grilles can obtain target structural parameters corresponding to the shape type of the grille's cross-section. Then, based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, the strength safety of the grille can be predicted. In this way, it is not necessary to design the finished grille; it is possible to predict in advance whether the strength of the grille meets the safety requirements. This allows for the design of finished products based on the predicted grille, ensuring the quality of the finished product, improving the product yield, and guaranteeing the safety of customers using the fan. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of the grille in an electric heater in one embodiment;

[0054] Figure 2 This is a schematic diagram of the grille in a rice cooker in one embodiment;

[0055] Figure 3 This is a schematic diagram of the fan structure in one embodiment;

[0056] Figure 4 This is a diagram illustrating the application environment of the grille safety determination method in one embodiment;

[0057] Figure 5 This is a flowchart illustrating a method for determining the safety of a grille in one embodiment;

[0058] Figure 6 This is a schematic diagram of the appearance of a hexagonal grille in one embodiment;

[0059] Figure 7 This is a schematic diagram illustrating the process of predicting the strength and safety of a grille based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille in one embodiment.

[0060] Figure 8 This is a flowchart illustrating how the intensity prediction model is obtained in one embodiment;

[0061] Figure 9 This is a schematic diagram of a hexagonal shape in one embodiment;

[0062] Figure 10 This is a flowchart illustrating the method for obtaining the calibration structure failure value in one embodiment;

[0063] Figure 11 This is a schematic diagram of the process of obtaining the extrapolated true stress curve of plastic strain based on the first force-displacement curve in one embodiment.

[0064] Figure 12This is a schematic diagram of the engineering stress-strain curve in one embodiment;

[0065] Figure 13 This is a schematic diagram of the actual stress-strain curve in one embodiment;

[0066] Figure 14 This is a schematic diagram of the actual plastic stress-strain curve in one embodiment;

[0067] Figure 15 This is a schematic diagram of the extrapolated plastic strain true stress curve in one embodiment;

[0068] Figure 16 This is a structural block diagram of a grille safety determination device in one embodiment;

[0069] Figure 17 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0071] In this embodiment, the grille can be applied to household appliances, such as fans, electric heaters, rice cookers, and other devices with grille structures; wherein the grille is a long strip structure, specifically, Figure 1 This is a schematic diagram of the grille in an electric heater; the grille in the electric heater is the air outlet grille. Figure 2 This is a schematic diagram of the grille inside a rice cooker. The grille inside the rice cooker is a heat dissipation grille.

[0072] For ease of description, the following explanation will use the application of grilles in fans as an example. When designing fan shrouds, the strength of the grilles is often based on experience and cannot be predicted in advance. However, there are strict national strength testing standards for specific injection-molded parts. Among them, the mechanical impact test in safety testing requires the instrument to be rigidly supported, and each possible weak point on the shell is impacted three times with an impact energy of 0.5J. Currently, the impact strength of grilles can be predicted using simulation methods, but simulation prediction lags behind the design of grille components. The grille strength can only be predicted after the design is completed. Existing technology cannot effectively solve the problem of grille strength in the early stages of design.

[0073] It is understandable that if the strength of the grille cannot be predicted, designers may make excessive designs based on experience to ensure strength, which will increase costs. Alternatively, designs based on experience may result in insufficient strength, leading to low yield, delayed project progress due to mold modifications, and hindering new products from seizing the market.

[0074] like Figure 3 As shown, a schematic diagram of a fan structure is provided, wherein the fan 302 includes a grille 304, which may include a front grille and a rear grille. Specifically, Figure 3 Taking the front mesh cover 304 as an example, the front mesh cover 304 includes multiple grilles 306. The grilles are elongated structures in the front and rear mesh covers. When the strength of the grilles is predicted to meet safety requirements, the fan 302 made based on the grilles will also meet safety requirements, thus not affecting the safety of the customer during use.

[0075] It is understandable that when manufacturing household appliances based on grilles, the spacing between adjacent grilles is less than or equal to 10mm. For example, when manufacturing a fan cover based on grilles, the number of grilles in the middle of the cover is more than the number of grilles around the perimeter. By setting the spacing between adjacent air outlet grilles to less than or equal to 10mm, it is ensured that the test finger will not touch the fan blades and live components, thus ensuring the safety of the test personnel.

[0076] exist Figures 1 to 3 Based on the above, embodiments of this application provide a method for determining the safety of a grille. This method can be applied to applications such as... Figure 4 In the illustrated application environment, terminal 402 communicates with server 404 via a network. A data storage system stores the data that server 404 needs to process. This data storage system can store target structural parameters corresponding to the grid's shape type. The data storage system can be integrated onto server 404 or located in the cloud or on another network server. Specifically, terminal 402 sends the target structural parameters corresponding to the grid's shape type to server 404. Server 404 then predicts the strength and safety of the grid based on the corresponding target structural parameters and a safety prediction model matching the grid's material type and shape type.

[0077] In one embodiment, such as Figure 5 As shown, a method for determining the safety of a grille is provided, which is then applied to... Figure 4 Taking a 404 error on a server as an example, the steps are as follows:

[0078] S502, based on the shape type of the grid cross section, obtain the target structural parameters corresponding to the shape type of the grid.

[0079] The shape type can include rectangles, hexagons, octagons and other polygons. Different shape types correspond to different structural parameters. For example, when the shape type is hexagon, the target structural parameters include the length of the first side of the hexagon, the length of the second side of the hexagon, the length of the center line segment, the distance between the first side and the center line segment, and the distance between the center line segment and the second side.

[0080] The length of the center line segment is greater than the length of the first side, the length of the center line segment is greater than the length of the second side, the first side is on the first face of the grid, the second side is on the second face of the grid, the center line segment is parallel to the first side and the second side, and the two endpoints of the center line segment are the vertices of the hexagon.

[0081] For example, when a grille is applied to a fan or electric heater, the first side is the air outlet side and the second side is the air inlet side. Specifically, when a grille is applied to a fan, the first side is on the outer surface of the fan's mesh cover and the second side is on the inner surface of the fan's mesh cover; when a grille is applied to a rice cooker, the first side is the heat outlet side and the second side is the heat inlet side.

[0082] For example, taking the application of grilles to a fan as an example, such as Figure 6 As shown, a schematic diagram of a hexagonal grille is provided, where a represents the first side of the hexagon, c represents the second side of the hexagon, b represents the center line segment, a is located on the air outlet side of the grille, and c is located on the windward side of the grille.

[0083] It is understood that the shape type of the grid cross section, as well as the target structural parameters of the grid corresponding to the shape type, can be set according to the actual application scenario, and this embodiment does not limit them.

[0084] S504, based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, predicts the safety of the grille's strength.

[0085] Different material types and shape types require different safety models. Therefore, when the material type and shape type of the grille are determined, the safety prediction model used to predict the strength of the grille is also determined. Thus, by processing the target structural parameters based on the safety prediction model, it can be determined whether the strength of the grille designed based on the material type, shape type, and target structural parameters meets the safety requirements.

[0086] It is understandable that, based on the corresponding target structural parameters and the safety prediction model that matches the material type and shape type of the grille, when the predicted strength of the grille meets the safety requirements, the household equipment designed and manufactured based on the grille of the material type, shape type and target structural parameters can guarantee the safety of customers during use and ensure the yield rate of the household equipment.

[0087] In summary, Figure 5 In the illustrated embodiment, the target structural parameters corresponding to the shape type of the grille can be obtained according to the shape type of the grille cross section. Then, based on the corresponding target structural parameters and the safety prediction model that matches the material type and shape type of the grille, the safety of the grille strength can be predicted. In this way, it is not necessary to design the finished grille, but it is possible to predict in advance whether the strength of the grille meets the safety requirements. This allows the finished product to be designed based on the predicted grille, ensuring the quality of the finished product, improving the product yield, and ensuring the safety of customers using household equipment.

[0088] exist Figure 5 Based on the illustrated embodiments, in one embodiment, the safety prediction model includes a strength prediction model and corresponding calibration structural failure values, specifically, as shown in... Figure 7 The diagram illustrates a process for predicting the strength and safety of a grille based on corresponding target structural parameters and a safety prediction model that matches the grille's material and shape types. This method is then applied to... Figure 4 Taking a 404 error on a server as an example, the steps are as follows:

[0089] S702 uses a strength prediction model to predict the target structural parameters and obtain the predicted strength value of the grid.

[0090] In this embodiment, the strength prediction models are different for different shape types and material types. The strength prediction model can be represented by a functional relationship. When the shape type is hexagonal, the strength prediction model can satisfy the following formula:

[0091] Intensity prediction model = q 11 L1+q 12 L2+q 13 L3+q 14 L4+q 15 (L3) 2 +q 16 ×L0×L3+q 17 ×L1×L2+q 18 ×L1×L4++q 19 ×L2×L3+q 20 ×L3×L4+q 21 ;

[0092] Where L0 is the length of the first side of the hexagon, which is located on the first face of the grid; L2 is the length of the second side of the hexagon, which is located on the second face of the grid; L1 is the length of the center line segment, which is parallel to the first and second sides, and the two endpoints of the center line segment are the vertices of the hexagon; L3 is the distance between the first side and the center line segment; and L4 is the distance between the center line segment and the second side.

[0093] Specifically, when the material type of the grille is PP-GF23, q 11 It can be -0.11, q 12 It can be -0.16, q 13 It can be -0.112, q 14 It can be -0.061, q 15 It can be 0.006, q 16 It can be -0.004, q 17 It can be 0.0225, q 18 It can be 0.006, q 19 It can be 0.013, q 20 It can be 0.003, q 21 If the value can be 1.013, then the intensity prediction model = -0.11×L1 - 0.16×L2 - 0.112×L3 - 0.061×L4 + 0.006X(L3) 2 -0.004×L0×L3+0.0225×L1×L2+0.006×L1×L4+0.013×L2×L3+0.003×L3×L4+1.013.

[0094] Specifically, when the material type of the grille is PBT-GF30_FR, q 11 It can be -0.2, q 12 It can be -0.1, q 13 It can be -0.03, q 14 It can be -0.042, q 15 It can be 0.001, q 16 It can be -0.007, q 17 It can be 0.016, q 18 It can be 0.0015, q 19 It can be 0.032, q 20 It can be 0.004, q 21 If the value can be 0.83, then the intensity prediction model = -0.2×L1 - 0.1×L2 - 0.03×L3 - 0.042×L4 + 0.001×(L3) 2-0.007×L0×L3+0.016×L1×L2+0.0015×L1×L4+0.032×L2×L3+0.004×L3×L4+0.83.

[0095] Specifically, when the material type of the grille is PP-HG-HR, q 11 It can be -0.3, q 12 It can be -0.21, q 13 It can be -0.026, q 14 It can be -0.037, q 15 It can be 0.0018, q 16 It can be -0.0045, q 17 It can be 0.021, q 18 It can be 0.0023, q 19 It can be 0.027, q 20 It can be 0.0031, q 21 If the value can be 1.33, then the intensity prediction model = -0.3×L1 - 0.21×L2 - 0.026×L3 - 0.037×L4 + 0.0018×(L3) 2 -0.0045×L0×L3+0.021×L1×L2+0.0023×L1×L4+0.027×L2×L3+0.0031×L3×L4+1.33.

[0096] S704, based on the relationship between the predicted strength value and the corresponding calibration structural failure value, predicts the safety of the grid's strength.

[0097] In this embodiment, when the predicted strength value is less than or equal to the calibrated structural failure value, the predicted strength of the grid meets safety requirements. Thus, the household equipment designed and manufactured based on the grid type, shape type, and target structural parameters can ensure the safety of customers during use and guarantee the yield rate of the household equipment.

[0098] The calibration structural failure values ​​are different for different shape types and material types. For example, when the shape type is hexagonal and the material type of the grid is PP-GF23, the calibration structural failure value is 0.25; when the shape type is hexagonal and the material type of the grid is PBT-GF30_FR, the calibration structural failure value is 0.2; and when the shape type is hexagonal and the material type of the grid is PP-HG-HR, the calibration structural failure value is 0.32.

[0099] Specifically, when the shape of the grille is hexagonal and the material is PP-GF23, if -0.11×L1-0.16×L2-0.112×L3-0.061×L4+0.006×(L3)2 If -0.004×L0×L3+0.0225×L1×L2+0.006×L1×L4+0.013×L2×L3+0.003×L3×L4+1.013≤0.25, then the strength of the grating meets safety requirements. When the grating shape is hexagonal and the material is PBT-GF30_FR, if -0.2×L1-0.1×L2-0.03×L3-0.042×L4+0.001×(L3) 2 If -0.007×L0×L3+0.016×L1×L2+0.0015×L1×L4+0.032×L2×L3+0.004×L3×L4+0.83≤0.2, then the strength of the grating meets safety requirements. When the grating shape is hexagonal and the material is PP-HG-HR, if -0.3×L1-0.21×L2-0.026×L3-0.037×L4+0.0018×(L3) 2 If -0.0045×L0×L3+0.021×L1×L2+0.0023×L1×L4+0.027×L2×L3+0.0031×L3×L4+1.33≤0.32, then the strength of the grating meets the safety requirements.

[0100] It should be noted that when the grille is applied to a fan, the material of the grille in the fan can be PP-GF23, PBT-GF30_FR, or PP-HG-HR. In this application, the material of the grille in the fan is PP-GF23. When the grille is applied to an electric heater, the material of the grille in the electric heater can be PP-GF23, PBT-GF30_FR, or PP-HG-HR. In this application, the material of the grille in the electric heater is PBT-GF30_FR. When the grille is applied to a rice cooker, the material of the grille in the rice cooker can be PP-GF23, PBT-GF30_FR, or PP-HG-HR. In this application, the material of the grille in the rice cooker is PP-HG-HR.

[0101] It is understood that the specific values ​​of the calibration structure failure values ​​corresponding to different shape types and material types can be set according to the actual application scenario, and this embodiment does not limit them.

[0102] The grid was applied to a fan. The grid was hexagonal in shape and made of PP-GF23 material. The rated structural failure value was 0.25. Specifically, as shown in Table 1, the structural parameters of the grids of three fans that meet the safety requirements are described. It can be seen that the predicted strength values ​​of the grids of the three fans are all less than 0.25. Therefore, the strength of the grids of the three fans meets the safety requirements.

[0103] Table 1

[0104]

[0105] It should be noted that in Table 1, the strength of either set of structural parameters corresponding to the grille of each type of fan meets the safety requirements. Therefore, the structural parameter corresponding to the smallest hexagonal area can be selected from the two sets of structural parameters to determine the final structural parameter. Based on the selected structural parameter, the finished fan can be designed.

[0106] Taking the application of a grille in an electric heater, with the grille material type being PBT-GF30_FR and a rated structural failure value of 0.2 as an example, Table 2 describes the structural parameters of the grille of an electric heater that meets safety requirements.

[0107] Table 2

[0108] <![CDATA[L0]]> <![CDATA[L1]]> <![CDATA[L2]]> <![CDATA[L3]]> <![CDATA[L4]]> Predicted intensity value 1.87 2.5 1.87 3.6 4.1 0.161108

[0109] Taking a grid applied to a rice cooker, with the grid material type being PP-HG-HR and a rated structural failure value of 0.32 as an example, Table 3 describes the structural parameters of the grid in a rice cooker that meets safety requirements.

[0110] Table 3

[0111] <![CDATA[L0]]> <![CDATA[L1]]> <![CDATA[L2]]> <![CDATA[L3]]> <![CDATA[L4]]> Predicted intensity value 2.49 3 1.89 2.3 4.8 0.081108

[0112] In summary, Figure 7 In the illustrated embodiment, a strength prediction model is used to predict the target structural parameters to obtain the predicted strength value of the grille. Based on the relationship between the predicted strength value and the corresponding calibration structural failure value, the safety of the grille's strength is predicted. In this way, when the strength of the grille meets the safety requirements, the household equipment designed and manufactured based on the material type, shape type, and target structural parameters can ensure the safety of customers during use and guarantee the yield rate of the household equipment.

[0113] exist Figure 7 Based on the illustrated embodiments, in one of the embodiments, such as Figure 8 As shown, a method for obtaining an intensity prediction model is provided, and this method is applied to... Figure 4 Taking a 404 error on a server as an example, the steps are as follows:

[0114] S802, obtain the actual structural parameters corresponding to the material type and shape type of the grille to ensure the strength and safety of the grille.

[0115] In this embodiment, the actual structural parameters can be the structural parameters of the finished grid designed based on the material type and shape type of the grid, and the measured structural parameters of the grid when the finished grid meets the safety requirements. It can be understood that when the strength of the finished grid meets the safety requirements, the structural parameters of the grid corresponding to different material types and shape types can be measured and stored in the database. In this way, when these parameters are needed, they can be directly selected from the database without re-measuring, thereby improving the efficiency of obtaining the strength prediction model and thus improving the efficiency of predicting the strength and safety of the grid.

[0116] S804 establishes multiple sets of experimental structural parameters based on real structural parameters and the range of preset structural parameters.

[0117] In this embodiment, the preset structural parameters are related to the shape type. The preset structural parameters are used to represent the length relationship of the sides corresponding to the shape type, such as... Figure 9 As shown, a schematic diagram of a hexagonal shape is provided, where L0 is the length of the first side of the hexagon, L2 is the length of the second side of the hexagon, L1 is the length of the center line segment, which is parallel to the first and second sides, and the two endpoints of the center line segment are the vertices of the hexagon, L3 is the distance between the first side and the center line segment, and L4 is the distance between the center line segment and the second side. Specifically, 0.7mm < L0 < 2.5mm, L1 > L0, L1 > L2, 2mm ≤ L1 ≤ 3mm, L3∶L4≈3∶7, or L3∶L4≈4∶6, (L3+L4)≈2.5×L1.

[0118] Wherein, L3∶L4≈3∶7 or L3∶L4≈4∶6 can be understood as the difference between L3 and the first value being within the first preset range, and the first value being the value of L4 multiplied by the first preset value, which can be 3 / 7 or 4 / 6.

[0119] Wherein, (L3+L4)≈2.5×L1 can be understood as the difference between the value of L1 multiplied by the second preset value and the second value being within the second preset range, and the second value being the value of L4 and L3 added together, and the second preset value can be 2.5.

[0120] It should be noted that the value of L1 should be set to around 2mm whenever possible. This ensures both the strength of the grille and the heat dissipation or airflow efficiency. When selecting parameter values ​​within the range described above, and when the selected parameter values ​​also meet the strength requirements, the area of ​​the corresponding hexagon should be greater than or equal to 15mm². 2 .

[0121] S806, an impact simulation model is established based on the extrapolated plastic strain true stress curve. According to the impact simulation model and multiple sets of experimental structural parameters, the corresponding fracture failure value is obtained.

[0122] In this embodiment, each set of structural parameters can be simulated three times based on the impact simulation model, and the fracture failure value obtained from the third simulation can be determined as the fracture failure value corresponding to that set of structural parameters.

[0123] exist Figure 9 Based on the content shown, as shown in Table 4, a fracture failure value corresponding to different groups of structural parameters after three simulations is provided. The fracture failure value obtained from the third simulation can be determined as the fracture failure value corresponding to the group of structural parameters.

[0124] Table 4

[0125]

[0126] S808 uses multiple sets of experimental structural parameters as variables and the corresponding fracture failure values ​​as targets. It fits the multiple sets of experimental structural parameters and the corresponding fracture failure values ​​to obtain a strength prediction model.

[0127] In S806 and S808, an experimental design (DOE) matrix can be designed. The DOE matrix stores the experimental structural parameters and corresponding fracture failure values ​​for each set of experimental structures. Using multiple sets of experimental structural parameters in the DOE matrix as variables and the corresponding fracture failure values ​​as targets, an approximate model method is used to fit multiple sets of experimental structural parameters with the corresponding fracture failure values ​​to obtain a strength prediction model.

[0128] In summary, Figure 8 In the illustrated embodiment, by obtaining the actual structural parameters corresponding to the material type and shape type of the grille that meet the strength safety requirements of the grille, multiple sets of experimental structural parameters can be established based on the actual structural parameters and the preset range of structural parameters. Then, an impact simulation model is established based on the extrapolated plastic strain true stress curve. According to the impact simulation model and the multiple sets of experimental structural parameters, the corresponding fracture failure value is obtained. Using the multiple sets of experimental structural parameters as variables and the corresponding fracture failure value as the target, the multiple sets of experimental structural parameters and the corresponding fracture failure value are fitted to obtain a strength prediction model. In this way, the strength prediction model obtained based on the actual structural parameters corresponding to the material type and shape type of the grille that meet the safety requirements can predict the strength safety of grilles designed with different structural parameters of the same material type and shape type, thereby improving the prediction accuracy of the strength safety of the grille.

[0129] In one embodiment, such as Figure 10 The diagram shows a flowchart illustrating a method for obtaining the failure value of a calibration structure. This method is then applied to... Figure 4Taking a 404 error on a server as an example, the steps are as follows:

[0130] S1002, obtain the first force-displacement curve obtained by tensile test, the second force-displacement curve obtained by bending test, and the first absorbed energy of the experimental specimen when the material fails, obtained by impact test.

[0131] The experimental specimens and the grid have the same cross-sectional shape and material type. By conducting tensile, bending and impact tests on the experimental specimens, the experimental process of the grid can be simulated, thereby obtaining the force-displacement curve and absorbed energy related to the grid. Based on the force-displacement curve and absorbed energy, subsequent processing can be performed.

[0132] S1004. Based on the first force-displacement curve, the extrapolated plastic strain true stress curve is obtained.

[0133] The first force-displacement curve is obtained from the tensile test of the experimental specimen. In order to combine the experimental process and the simulation process to obtain the calibration structural failure value, it is necessary to convert the first force-displacement curve obtained from the experimental process into the extrapolated plastic strain true stress curve required by the simulation process.

[0134] S1006, tensile simulation model, bending simulation model and impact simulation model are established based on the extrapolated plastic strain true stress curve.

[0135] S1008 uses a tensile simulation model to simulate the simulation object corresponding to the experimental spline and obtains the third force-displacement curve.

[0136] S1010 uses a bending simulation model to simulate the object and obtains the fourth force displacement curve.

[0137] S1012 uses an impact simulation model to simulate the object and obtain the second absorbed energy.

[0138] S1014. Based on the similarity between the first force-displacement curve and the third force-displacement curve, the similarity between the second force-displacement curve and the fourth force-displacement curve, and the relationship between the magnitudes of the first absorbed energy and the second absorbed energy, determine the failure value of the calibration structure.

[0139] In S1006 and S1014, the simulation object is an object established based on experimental splines, which is used as the experimental object in the simulation process. Then, the third force-displacement curve can be obtained from the tensile simulation model established based on the extrapolated plastic strain true stress curve, the fourth force-displacement curve can be obtained from the bending simulation model established based on the extrapolated plastic strain true stress curve, and the second absorbed energy can be obtained from the impact simulation model established based on the extrapolated plastic strain true stress curve. Based on the similarity between the first and third force-displacement curves, the similarity between the second and fourth force-displacement curves, and the relationship between the magnitudes of the first and second absorbed energies, the failure value of the calibration structure is determined.

[0140] Specifically, when the first force-displacement curve is similar to the third force-displacement curve, the second force-displacement curve is similar to the fourth force-displacement curve, and the magnitudes of the first absorbed energy and the second absorbed energy are the same, the material failure value corresponding to the first absorbed energy or the second absorbed energy is determined as the calibration structural failure value.

[0141] The similarity between the first force displacement curve and the third force displacement curve can be defined as the similarity between the first force displacement curve and the third force displacement curve within a first calibration range. The similarity between the second force displacement curve and the fourth force displacement curve can be defined as the similarity between the second force displacement curve and the fourth force displacement curve within a second calibration range. The specific contents of the first calibration range and the second calibration range can be set according to the actual application scenario, and this embodiment does not limit them.

[0142] It should be noted that when the first force-displacement curve is not similar to the third force-displacement curve, and / or the second force-displacement curve is not similar to the fourth force-displacement curve, it indicates that the tensile simulation model and bending simulation model established based on the extrapolated plastic strain true stress curve are unreasonable. That is, the obtained first force-displacement curve is unreasonable. Therefore, tensile tests are required to obtain the first force-displacement curve again until the first force-displacement curve is similar to the third force-displacement curve and the second force-displacement curve is similar to the fourth force-displacement curve. Only then can the calibration structural failure value be obtained based on the impact simulation model and impact simulation test.

[0143] exist Figure 10 Based on the illustrated embodiments, in one of the embodiments, such as Figure 11 The diagram illustrates a process for obtaining the extrapolated true stress curve of plastic strain based on the first force-displacement curve. This method is then applied to… Figure 4 Taking a 404 error on a server as an example, the steps are as follows:

[0144] S1102, convert the first force-displacement curve into an engineering stress-strain curve, and obtain the test curve corresponding to the elastic stage in the engineering stress-strain curve.

[0145] In this embodiment, the engineering stress-strain curve includes curves for the elastic stage and curves for the plastic stage. In order to obtain the curve for the elastic stage required for the simulation process, it is necessary to extract the curve corresponding to the elastic stage in the engineering stress-strain curve. Specifically, obtaining the actual stress-strain curve for the elastic stage in the engineering stress-strain curve includes: truncating the engineering stress-strain curve at the peak point position, and determining the engineering stress-strain curve before the peak point position as the test curve corresponding to the elastic stage in the engineering stress-strain curve.

[0146] For example, such as Figure 12 As shown, a schematic diagram of an engineering stress-strain curve is provided, where the horizontal axis represents strain, and strain is represented by ε. e The vertical axis represents stress, and stress is represented by σ. e This indicates that the engineering stress-strain curve before the peak point is the test curve corresponding to the elastic stage in the engineering stress-strain curve.

[0147] S1104, obtain the true stress-strain curve of the plastic stage in the corresponding test curve.

[0148] In this embodiment, the corresponding experimental curve can be converted into a true stress-strain curve using the first stress formula and the first strain formula. Specifically, the first stress formula uses σ t It means that σ t Satisfy the following formula: σ t =σ e (1+ε e The first strain formula uses ε t It means that ε t Satisfy the following formula: ε t =ln(1+ε e For example, combining Figure 12 ,like Figure 13 As shown, a schematic diagram of a real stress-strain curve is provided.

[0149] Furthermore, the true stress-strain curve can be converted into a plastic true stress-strain curve using the second strain formula. Specifically, the second strain formula uses ε p It means that ε p Satisfy the following formula: Where, σ necking Where E is the necking stress and E is the elastic modulus, for example, combining Figure 13 ,like Figure 14 As shown, a schematic diagram of a true plastic stress-strain curve is provided.

[0150] S1106, extrapolate the true stress curve of plastic strain to obtain the extrapolated true stress curve of plastic strain.

[0151] In this embodiment, the true stress curve of plastic strain can be processed by a hardening formula to obtain an extrapolated true stress curve of plastic strain. Specifically, the hardening formula uses σ T It means that σ T Satisfy the following formula:

[0152]

[0153] Where σ0 is the stress without plastic strain, ε is slightly greater than the ultimate stress at high plastic strain. op And β is a parameter that determines the average plastic strain and strain range, δ is a parameter that describes the stress drop after the stress peaks, and ε sp This represents the plastic strain at which the stress is minimized.

[0154] For example, combining Figure 14 ,like Figure 15 As shown, a schematic diagram of an extrapolated true stress curve of plastic strain is provided, combined with... Figure 14 and Figure 15 It can be seen that the extrapolated plastic strain true stress curve is the curve obtained by extending the plastic true stress-strain curve in the direction of the horizontal axis; among them, the extrapolated plastic strain true stress curve can be the curve corresponding to the extension of the plastic true stress-strain curve to the strain of 3.

[0155] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0156] Based on the same inventive concept, this application also provides a grid safety determination device for implementing the grid safety determination method described above. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more embodiments of the grid safety determination device provided below can be found in the limitations of the grid safety determination method described above, and will not be repeated here.

[0157] In one embodiment, such as Figure 16As shown, a grid safety determination device is provided, including: an acquisition module 1602 and a prediction module 1604, wherein:

[0158] The acquisition module 1602 is used to acquire the target structural parameters corresponding to the shape type of the grid according to the shape type of the grid cross section.

[0159] The prediction module 1604 is used to predict the strength and safety of the grid based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grid.

[0160] In one embodiment, the safety prediction model includes a strength prediction model and a corresponding calibration structure failure value; the prediction module 1604 is further used to use the strength prediction model to perform prediction processing on the target structure parameters to obtain the predicted strength value of the grille; and to predict the safety of the grille's strength based on the relationship between the predicted strength value and the corresponding calibration structure failure value.

[0161] In one embodiment, the acquisition module 1602 is further configured to acquire the actual structural parameters corresponding to the material type and shape type of the grille, which meet the strength and safety requirements of the grille; establish multiple sets of experimental structural parameters based on the actual structural parameters and the preset range of structural parameters; establish an impact simulation model based on the extrapolated plastic strain true stress curve; obtain the corresponding fracture failure value according to the impact simulation model and the multiple sets of experimental structural parameters; and fit the multiple sets of experimental structural parameters and the corresponding fracture failure value with the multiple sets of experimental structural parameters as variables and the corresponding fracture failure value as the target to obtain a strength prediction model.

[0162] In one embodiment, the acquisition module 1602 is further configured to acquire the first force-displacement curve obtained from the tensile test, the second force-displacement curve obtained from the bending test, and the first absorbed energy of the experimental specimen at material failure obtained from the impact test on the grid; obtain the extrapolated plastic strain true stress curve based on the first force-displacement curve; establish a tensile simulation model, a bending simulation model, and an impact simulation model based on the extrapolated plastic strain true stress curve; simulate the simulation object corresponding to the experimental specimen through the tensile simulation model to obtain the third force-displacement curve; simulate the simulation object through the bending simulation model to obtain the fourth force-displacement curve; simulate the simulation object through the impact simulation model to obtain the second absorbed energy; and determine the calibration structure failure value based on the similarity between the first and third force-displacement curves, the similarity between the second and fourth force-displacement curves, and the magnitude relationship between the first and second absorbed energy.

[0163] In one embodiment, the acquisition module 1602 is further configured to determine the material failure value corresponding to the first absorbed energy or the second absorbed energy as the calibration structure failure value when the first force-displacement curve is similar to the third force-displacement curve, the second force-displacement curve is similar to the fourth force-displacement curve, and the magnitudes of the first absorbed energy and the second absorbed energy are the same.

[0164] In one embodiment, the acquisition module 1602 is further configured to convert the first force-displacement curve into an engineering stress-strain curve, and acquire the test curve corresponding to the elastic stage in the engineering stress-strain curve; acquire the plastic true stress-strain curve corresponding to the plastic stage in the corresponding test curve; and extrapolate the plastic strain true stress curve to obtain the extrapolated plastic strain true stress curve.

[0165] In one embodiment, the shape is hexagonal, and the intensity prediction model satisfies the following formula: Intensity prediction model = q 11 ×L1+q 12 ×L2+q 13 ×L3+q 14 ×L4+q 15 ×(L3) 2 +q 16 ×L0×L3+q 17 ×L1×L2+q 18 ×L1×L4+q 19 ×L2×L3+q 20 ×L3×L4+q 21 Where L0 is the length of the first side of the hexagon, which is located on the first face of the grid; L2 is the length of the second side of the hexagon, which is located on the second face of the grid; L1 is the length of the center line segment, which is parallel to the first and second sides, and the two endpoints of the center line segment are the vertices of the hexagon; L3 is the distance between the first side and the center line segment; and L4 is the distance between the center line segment and the second side.

[0166] In one embodiment, the material type of the grille is PP-GF23, q 11 =-0.11, q 12 =-0.16, q 13 =-0.112, q 14 The value is -0.061, q 15 q is 0.006. 16 =-0.004, q 17 q is 0.0225. 18 q is 0.006. 19 q is 0.013. 20 q is 0.003. 21 It is 1.013.

[0167] In one embodiment, the calibration structure failure value is 0.25.

[0168] In one embodiment, the material type of the grille is PBT-GF30_FR, q 11 =-0.2, q 12 =-0.1, q 13 =-0.03, q 14 The value is -0.042, q 15 q is 0.001. 16 =-0.007, q 17 q is 0.016. 18 q is 0.0015. 19 q is 0.032. 20 q is 0.004. 21 It is 0.83.

[0169] In one embodiment, the calibration structure failure value is 0.2.

[0170] In one embodiment, the material type of the grille is PP-HG-HR, q 11 =-0.3, q 12 =-0.21, q 13 The value is -0.026, q 14 The value is -0.037, q 15 q is 0.0018. 16 The value is -0.0045, q 17 q is 0.021. 18 q is 0.0023. 19 q is 0.027. 20 q is 0.0031. 21 It is 1.33.

[0171] In one embodiment, the calibration structure failure value is 0.32.

[0172] Each module in the aforementioned grid safety determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0173] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 17As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores security prediction models. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements a grid security determination method.

[0174] Those skilled in the art will understand that Figure 17 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0175] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0176] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0177] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0178] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0179] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0180] 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.

[0181] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining the safety of a grille, characterized in that, The method includes: Based on the shape type of the grid's cross-section, obtain the target structural parameters corresponding to the shape type of the grid; Based on the corresponding target structural parameters and a safety prediction model that matches the material type and shape type of the grille, the strength safety of the grille is predicted; The safety prediction model includes a strength prediction model and corresponding calibration structural failure values. The step of predicting the strength safety of the grille based on the corresponding target structural parameters and a safety prediction model matching the material type and shape type of the grille includes: The strength prediction model is used to predict the target structural parameters to obtain the predicted strength value of the grid; based on the relationship between the predicted strength value and the corresponding calibration structural failure value, the safety of the grid's strength is predicted. The method for obtaining the calibration structure failure value includes: Obtain the first force-displacement curve obtained from a tensile test, the second force-displacement curve obtained from a bending test, and the first absorbed energy of the experimental specimen at material failure obtained from an impact test on the experimental specimen of the grid. Based on the first force-displacement curve, obtain the extrapolated true stress curve of plastic strain. Establish a tensile simulation model, a bending simulation model, and an impact simulation model based on the extrapolated true stress curve. Simulate the simulation object corresponding to the experimental specimen using the tensile simulation model to obtain a third force-displacement curve. Simulate the simulation object using the bending simulation model to obtain a fourth force-displacement curve. Simulate the simulation object using the impact simulation model to obtain a second absorbed energy. Determine the failure value of the calibration structure based on the similarity between the first and third force-displacement curves, the similarity between the second and fourth force-displacement curves, and the magnitude relationship between the first and second absorbed energies. Wherein, the shape type is hexagonal, and the intensity prediction model satisfies the following formula: Among them, the The length of the first side of the hexagon, which lies on the first face of the grille; The length of the second side of the hexagon, which lies on the second face of the grille; The length of the center line segment is given, the center line segment is parallel to the first side and the second side, and the two endpoints of the center line segment are the vertices of the hexagon; The distance between the first side and the center line segment is... The distance between the center line segment and the second side is denoted as .

2. The method according to claim 1, characterized in that, The method for obtaining the intensity prediction model includes: Obtain the material type and the actual structural parameters corresponding to the shape type of the grille that satisfy the strength and safety requirements of the grille; Based on the actual structural parameters and the range corresponding to the preset structural parameters, multiple sets of experimental structural parameters are established. An impact simulation model was established based on the extrapolated true stress curve of plastic strain. Based on the impact simulation model and multiple sets of experimental structural parameters, the corresponding fracture failure values ​​were obtained. Using multiple sets of experimental structural parameters as variables and the corresponding fracture failure values ​​as objectives, the strength prediction model is obtained by fitting the multiple sets of experimental structural parameters and the corresponding fracture failure values.

3. The method according to claim 1, characterized in that, The step of determining the failure value of the calibration structure based on the similarity between the first force-displacement curve and the third force-displacement curve, the similarity between the second force-displacement curve and the fourth force-displacement curve, and the magnitude relationship between the first absorbed energy and the second absorbed energy includes: When the first force-displacement curve is similar to the third force-displacement curve, the second force-displacement curve is similar to the fourth force-displacement curve, and the magnitudes of the first absorbed energy and the second absorbed energy are the same, the material failure value corresponding to the first absorbed energy or the second absorbed energy is determined as the calibration structure failure value.

4. The method according to claim 1, characterized in that, The step of obtaining the extrapolated true stress curve of plastic strain based on the first force-displacement curve includes: The first force-displacement curve is converted into an engineering stress-strain curve, and the test curve corresponding to the elastic stage in the engineering stress-strain curve is obtained. Obtain the true plastic stress-strain curve corresponding to the plastic stage in the aforementioned test curve; The true stress curve of plastic strain is extrapolated to obtain the extrapolated true stress curve of plastic strain.

5. The method according to claim 1, characterized in that, The material type of the grille is PP-GF23. It is -0.

11. It is -0.

16. It is -0.

112. It is -0.

061. It is 0.

006. It is -0.

004. It is 0.0225. It is 0.

006. It is 0.

013. It is 0.

003. It is 1.

013.

6. The method according to claim 5, characterized in that, The calibration structure failure value is 0.

25.

7. The method according to claim 1, characterized in that, The material type of the grille is PBT-GF30_FR. It is -0.

2. It is -0.

1. It is -0.

03. It is -0.

042. It is 0.

001. It is -0.

007. It is 0.

016. It is 0.0015. It is 0.

032. It is 0.

004. It is 0.

83.

8. The method according to claim 7, characterized in that, The calibration structure failure value is 0.

2.

9. The method according to claim 1, characterized in that, The material type of the grille is PP-HG-HR. It is -0.

3. It is -0.

21. It is -0.

026. It is -0.

037. It is 0.0018. It is -0.0045. It is 0.

021. It is 0.0023. It is 0.

027. It is 0.0031. It is 1.

33.

10. The method according to claim 9, characterized in that, The calibration structure failure value is 0.32.

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