Multi-layer composite material testing method, device, equipment and medium
By constructing test groups and electromagnetic simulation models of multi-layer composite materials, calculating and comparing shielding performance data, the problem of single-layer parameter acquisition and equivalent model construction in composite material simulation modeling is solved, and more accurate multi-layer composite materials are achieved Modeling.
Patent Information
- Application Number
- CN202411547402.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-01
- Publication Date
- 2025-02-25
AI Technical Summary
In the simulation modeling of composite materials, it is difficult to accurately obtain single-layer parameters and build multi-layer stacked equivalent models, resulting in significant deviations between experimental data and simulation results.
By determining multiple structural properties of multi-layer composite materials, multiple test groups and electromagnetic simulation models are constructed, shielding performance data are calculated, and the best shielding performance data and final electromagnetic simulation model are determined through comparison.
Accurate modeling of multi-layer composite materials is achieved, the deviation between experiments and simulation results is reduced, and the accuracy and reliability of simulation models are improved.
Smart Images
Figure CN119514168A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of multilayer composite material structure modeling, and in particular, to a testing method, device, equipment and medium for multilayer composite materials. Background Art
[0002] In the simulation modeling practice of composite materials, thin layer models are widely used as a simplification method, aiming to independently define and construct each layer of the composite material, and then integrate them to form an overall stacking model.
[0003] However, this method faces two challenges: first, the precise acquisition of the parameters of each single layer is technically complex and resource-intensive; second, due to the diversity of composite material design processes, the equivalent model method of multi-layer stacking is not universally applicable, resulting in significant deviations between experimental data and simulation results in actual engineering applications. Summary of the invention
[0004] In view of this, the purpose of the present application is to provide a testing method, device, equipment and medium for multi-layer composite materials, aiming to overcome at least one of the above-mentioned defects.
[0005] In a first aspect, the present application provides a method for testing a multilayer composite material, the method comprising: (A) determining a plurality of structural attributes for characterizing the multilayer composite material; (B) constructing a plurality of test groups, each test group comprising the plurality of structural attributes, wherein a characteristic value of a structural attribute differs between different test groups; (C) for each test group, constructing a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural attribute under the test group; (D) for each first electromagnetic simulation model, calculating a first shielding effectiveness data of the first electromagnetic simulation model in a current posture, and calculating a second shielding effectiveness data of a test specimen in the current posture, the test specimen being a solid piece made according to preset characteristic values of a plurality of structural attributes of the multilayer composite material; (E) The first shielding effectiveness data is compared with the second shielding effectiveness data, and an optimal shielding effectiveness data is determined from the multiple first shielding effectiveness data; (F) the first electromagnetic simulation model corresponding to the optimal shielding effectiveness data is selected as the second electromagnetic simulation model; (G) the third shielding effectiveness data of the second electromagnetic simulation model in the verification posture and the fourth shielding effectiveness data of the test sample in the verification posture are calculated; (H) according to the third shielding effectiveness data and the fourth shielding effectiveness data, it is judged whether the second electromagnetic simulation model meets the verification conditions; (I) if not, an updated posture is selected, the current posture is replaced by the updated posture, and the execution of step (D) is returned; (J) if satisfied, the second electromagnetic simulation model is determined as the final electromagnetic simulation model.
[0006] In a possible implementation, the multiple structural properties include the number of layers, thickness and layup method of the multilayer composite material, wherein the characteristic values of the number of layers and the thickness in different test groups are the same, and the characteristic values of the layup method are different.
[0007] In a possible implementation, the ply laying method includes a ply laying plane that is anisotropic and a ply laying plane that is isotropic.
[0008] In a possible implementation manner, the second shielding effectiveness data of the test sample in the current posture is obtained in the following manner: a shielding box method is used to test and obtain the second shielding effectiveness data of the test sample in the current posture.
[0009] In a possible implementation, the current posture includes any one of the following: the layout plane of the multilayer composite material is parallel to the electric field polarization direction, the layout plane is perpendicular to the electric field polarization direction, and the layout plane is perpendicular to the electric field incident direction.
[0010] In one possible implementation, the optimal shielding effectiveness data is determined in the following manner: determining the first time domain waveform peak absolute value of the second shielding effectiveness data, and multiple second time domain waveform peak absolute values corresponding to the multiple first shielding effectiveness data; comparing the first time domain waveform peak absolute value with the multiple second time domain waveform peak absolute values to determine a target second time domain waveform peak absolute value among the multiple second time domain waveform peak absolute values that has the smallest difference with the first time domain waveform peak absolute value and is less than a difference threshold; and using the first shielding effectiveness data corresponding to the target second time domain waveform peak absolute value as the optimal shielding effectiveness data.
[0011] In a possible implementation, the optimal shielding effectiveness data can also be determined in the following manner: determine the first frequency domain waveform of the second shielding effectiveness data, and multiple second frequency domain waveforms corresponding to the multiple first shielding effectiveness data; compare the first frequency domain waveform with the multiple second frequency domain waveforms to determine a target second frequency domain waveform among the multiple second frequency domain waveforms that has the highest evaluation compared with the first frequency domain waveform and reaches an evaluation threshold; and use the first shielding effectiveness data corresponding to the target second frequency domain waveform as the optimal shielding effectiveness data.
[0012] In a second aspect, the present application provides a testing device for a multilayer composite material, the device comprising: a determination module for determining a plurality of structural properties for characterizing the multilayer composite material; a first construction module for constructing a plurality of test groups, each test group comprising the plurality of structural properties, and different test groups having a different characteristic value of at least one structural property; a second construction module for constructing, for each test group, a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural property under the test group; a calculation module for calculating, for each first electromagnetic simulation model, a first shielding effectiveness data of the first electromagnetic simulation model in a current posture, and calculating a second shielding effectiveness data of a test piece in the current posture, the test piece being a solid piece made according to preset characteristic values of a plurality of structural properties of the multilayer composite material; a comparison module for A method for comparing a plurality of first shielding effectiveness data with the second shielding effectiveness data to determine an optimal shielding effectiveness data from the plurality of first shielding effectiveness data; a selection module for selecting a first electromagnetic simulation model corresponding to the optimal shielding effectiveness data as the second electromagnetic simulation model; a verification module for calculating the third shielding effectiveness data of the second electromagnetic simulation model in the verification posture, and the fourth shielding effectiveness data of the test sample in the verification posture; a judgment module for judging whether the second electromagnetic simulation model meets the verification conditions according to the third shielding effectiveness data and the fourth shielding effectiveness data; an update module for selecting an updated posture if not satisfied, replacing the current posture with the updated posture, and returning to the calculation module; a final module for determining the second electromagnetic simulation model as the final electromagnetic simulation model if satisfied.
[0013] In a third aspect, the present application also provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps of the testing method for multilayer composite materials as described above are performed.
[0014] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for testing multilayer composite materials as described above are executed.
[0015] The present application provides a method, device, equipment and medium for testing multilayer composite materials, the method comprising: determining multiple structural attributes for characterizing multilayer composite materials; constructing multiple test groups; for each test group, constructing a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural attribute under the test group; calculating the first shielding effectiveness data of the first electromagnetic simulation model in the current posture, and calculating the second shielding effectiveness data of the test sample in the current posture; comparing the multiple first shielding effectiveness data with the second shielding effectiveness data, and determining an optimal shielding effectiveness data from the multiple first shielding effectiveness data; selecting the first electromagnetic simulation model corresponding to the optimal shielding effectiveness data as the second electromagnetic simulation model, and verifying the second electromagnetic simulation model. The present application achieves modeling of multilayer composite materials by performing correction tests on the electromagnetic simulation model.
[0016] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0018] Figure 1 A flow chart of a method for testing a multilayer composite material provided in an embodiment of the present application;
[0019] Figure 2 A flow chart of determining optimal shielding effectiveness data by using a time domain waveform comparison method provided in an embodiment of the present application;
[0020] Figure 3 A flow chart of determining the best shielding effectiveness data by using a frequency domain waveform comparison method provided in an embodiment of the present application;
[0021] Figure 4 A schematic diagram of SE time domain curve comparison of a simulation test when the current posture is 90° provided in an embodiment of the present application;
[0022] Figure 5 A schematic diagram of SE spectrum curve comparison of a simulation test when the current posture is 90° provided in an embodiment of the present application;
[0023] Figure 6 The FSV benchmarking result of the SE spectrum curve of the simulation test when the current posture is 90° provided in the embodiment of the present application;
[0024] Figure 7 A comparison diagram of the shielding effectiveness of the first electromagnetic simulation model and the shielding effectiveness of the test sample when the current posture is 90° provided in an embodiment of the present application;
[0025] Figure 8 A schematic diagram showing a comparison of SE spectrum curves in a simulation test when the calibration posture provided in the embodiment of the present application is 45°;
[0026] Fig. 9 The FSV benchmarking result of the SE spectrum curve of the simulation test when the calibration posture is 45° provided in the embodiment of the present application;
[0027] Fig.10 A comparison diagram of the shielding effectiveness of the second electromagnetic simulation model and the shielding effectiveness of the test sample when the calibration posture is 45° provided in the embodiment of the present application;
[0028] Fig.11 A schematic diagram of the structure of a testing device for a multilayer composite material provided in an embodiment of the present application;
[0029] Fig.12 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0030] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, each other embodiment obtained by those skilled in the art without making creative work belongs to the scope of protection of the present application.
[0031] First, the application scenarios to which the present application is applicable are introduced. The present application can be applied to the field of multi-layer composite material structure modeling.
[0032] The multi-layer composite skin is an important part of the aircraft. The construction and parameter confirmation of its electromagnetic model plays an important supporting role in the subsequent system-level simulation. At present, the simulation modeling of composite materials usually uses thin layer models for simplification, and defines and constructs each layer that constitutes the composite material separately to obtain the overall stacking model of the composite material. However, this construction method makes it difficult to obtain single-layer parameters. On the other hand, the equivalent model method of multi-layer stacking is not applicable to all composite material design processes. In actual engineering applications, the gap between experimental and simulation results is often very large.
[0033] Based on this, the embodiments of the present application provide a method, device, equipment and medium for testing multi-layer composite materials, and establish a simulation model that truly reflects the multi-layer composite material process by testing and correcting the simulation model.
[0034] See also Figure 1 , Figure 1 This is a flow chart of a method for testing a multilayer composite material provided in an embodiment of the present application. Figure 1 As shown in, including:
[0035] S101. Determine a plurality of structural properties for characterizing a multilayer composite material.
[0036] Here, a multilayer composite material is a composite material composed of two or more different materials combined together by lamination, bonding or other means, and each layer may have different physical and chemical properties.
[0037] In the embodiment of the present application, the multilayer composite material is a skin, and the multiple structural properties of the skin include the number of layers, thickness and laying method.
[0038] S102: Construct multiple test groups.
[0039] Here, multiple test groups are constructed to study the effects of different structural attributes on material properties. Each test group includes multiple structural attributes, and there is a difference in the characteristic value of a structural attribute between different test groups.
[0040] S103 . For each test group, construct a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural attribute under the test group.
[0041] Here, the first electromagnetic simulation model is a model that uses computer simulation technology to simulate the behavior and performance of multilayer composite materials in an electromagnetic field according to the above test group, and the characteristic value is a numerical value assigned to the corresponding structural property in the electromagnetic simulation model according to the setting of the test group.
[0042] In an embodiment of the present application, the characteristic values of the number of layers and the thickness in each test group are set to be the same, and the characteristic values of the laying method are different, wherein the thickness refers to the total thickness of all layers added together, and the laying method refers to the arrangement of each layer of material in the composite material, such as anisotropy (different physical properties in different directions) or isotropy (same physical properties in all directions).
[0043] In the embodiment of the present application, the characteristic values of the number of layers and the thickness in each test group are set to be the same, and the characteristic values of the laying method are different. The laying method, as a key structural attribute in multilayer composite materials, directly determines the arrangement and combination of each layer of material in the composite, and thus affects the equivalent conductivity of the material. Specifically, when the laying plane is anisotropic, it means that there are differences in the equivalent conductivity in different directions. This difference causes the conductivity tensor to be different in each direction within the laying plane, while the normal direction perpendicular to the laying plane is set to 1. On the contrary, if the laying plane is isotropic, the equivalent conductivity in each direction within the laying plane remains consistent. Similarly, the conductivity in the normal direction is also set to 1. This difference in laying method directly leads to differences in equivalent conductivity. Equivalent conductivity is an important parameter to measure the conductivity of materials. Its change directly affects the response and performance of multilayer composite materials in electromagnetic fields. Furthermore, due to the difference in equivalent conductivity, the shielding effectiveness of multilayer composite materials also changes. Shielding effectiveness is an important indicator to measure the ability of materials to resist external electromagnetic interference. High shielding effectiveness means that the material can more effectively block or attenuate the penetration of electromagnetic waves, thereby protecting internal equipment or systems from interference. Therefore, the diversity of lamination methods leads to differences in equivalent conductivity, and the change in equivalent conductivity further affects the shielding effectiveness of multilayer composite materials.
[0044] S104 . For each first electromagnetic simulation model, calculate first shielding effectiveness data of the first electromagnetic simulation model in a current posture, and calculate second shielding effectiveness data of the test sample in the current posture.
[0045] Here, the first shielding effectiveness data is the shielding effectiveness data of the multilayer composite material under a specific posture, which is calculated by an electromagnetic simulation model; the second shielding effectiveness data is the shielding effectiveness data of the multilayer composite material under the same posture, which is measured by the shielding box method through the actual test sample of the skin; the test sample is a solid part made according to preset characteristic values of multiple structural properties of the multilayer composite material; the laying plane material of the test sample adopts a planar material of 300mm*300mm or 600mm*600mm, wherein the current posture includes the layout plane of the multilayer composite material being parallel to the electric field polarization direction, the layout plane being perpendicular to the electric field polarization direction, and the layout plane being perpendicular to the electric field incident direction.
[0046] In the embodiment of the present application, the calculation method of shielding effectiveness should at least include a time domain algorithm and a frequency domain algorithm, and the current posture is selected as the one with higher signal strength or signal-to-noise ratio in the test data of all postures.
[0047] S105 , comparing the plurality of first shielding effectiveness data with the second shielding effectiveness data, and determining an optimal shielding effectiveness data from the plurality of first shielding effectiveness data.
[0048] In an embodiment of the present application, a method for determining an optimal shielding effectiveness data includes a time domain waveform comparison method and a frequency domain waveform comparison method.
[0049] Below through Figure 2 This article introduces the specific process of determining the best shielding effectiveness data through the time domain waveform comparison method.
[0050] Figure 2 A flow chart of determining the best shielding effectiveness data by using a time domain waveform comparison method provided in an embodiment of the present application. Figure 2 As shown in, including:
[0051] S201, determining a first time domain waveform peak absolute value of second shielding effectiveness data, and a plurality of second time domain waveform peak absolute values corresponding to a plurality of first shielding effectiveness data.
[0052] S202, comparing the first time domain waveform peak absolute value with multiple second time domain waveform peak absolute values to determine a target second time domain waveform peak absolute value among the multiple second time domain waveform peak absolute values that has the smallest difference with the first time domain waveform peak absolute value and is smaller than a difference threshold.
[0053] In the embodiment of the present application, the difference threshold is set to 6dB.
[0054] S203, taking the first shielding effectiveness data corresponding to the absolute value of the target second time domain waveform peak as the optimal shielding effectiveness data.
[0055] Here, the equivalent conductivity corresponding to the best shielding effectiveness data is determined as the best equivalent conductivity.
[0056] Below through Figure 3 This article introduces the specific process of determining the best shielding effectiveness data through the frequency domain waveform comparison method.
[0057] Figure 3 A flow chart of determining the best shielding effectiveness data by using the frequency domain waveform comparison method provided in the embodiment of the present application. Figure 2 As shown in, including:
[0058] S301, determining a first frequency domain waveform of second shielding effectiveness data, and a plurality of second frequency domain waveforms corresponding to a plurality of first shielding effectiveness data.
[0059] S302: Compare the first frequency domain waveform with the plurality of second frequency domain waveforms to determine a target second frequency domain waveform among the plurality of second frequency domain waveforms that has the highest evaluation compared with the first frequency domain waveform and reaches an evaluation threshold.
[0060] The feature selection validation (FSV) method is a method for evaluating the similarity between simulation and test results. It selects key features on the spectrum curve (such as peak values, valley values, values at specific frequency points, etc.) for comparison and gives similarity evaluation results (such as Good, Fair, Poor, etc.).
[0061] In an embodiment of the present application, the curves of the frequency domain waveforms are compared through a feature selection verification method, and the target second frequency domain waveform with the highest comparison evaluation in the first frequency domain waveform and reaching the evaluation threshold is selected, wherein the evaluation threshold is set to reach the Fair level.
[0062] S303, taking the first shielding effectiveness data corresponding to a second frequency domain waveform as the optimal shielding effectiveness data.
[0063] Here, the equivalent conductivity corresponding to the best shielding effectiveness data is determined as the best equivalent conductivity.
[0064] S106. Select the first electromagnetic simulation model corresponding to the best shielding effectiveness data as the second electromagnetic simulation model.
[0065] S107, calculating third shielding effectiveness data of the second electromagnetic simulation model in the verification posture, and fourth shielding effectiveness data of the test sample in the verification posture.
[0066] S108. Determine whether the second electromagnetic simulation model meets the verification condition according to the third shielding effectiveness data and the fourth shielding effectiveness data.
[0067] In an embodiment of the present application, any posture except the current posture is selected from all postures, and the time domain algorithm or frequency domain algorithm in the above method is used again to verify whether the second electromagnetic simulation model meets the above difference threshold or evaluation threshold.
[0068] If not, an updated posture is selected, the updated posture is used to replace the current posture, and the process returns to step S104.
[0069] Here, if it is not satisfied, an update posture is selected again to reselect the electromagnetic simulation model.
[0070] If so, step S109 is executed to determine the second electromagnetic simulation model as the final electromagnetic simulation model.
[0071] Here, if satisfied, the second electromagnetic simulation model is output and determined as the final simulation model of the skin.
[0072] The specific process of this method is introduced below through embodiments.
[0073] Embodiment 1:
[0074] Confirm that the preset characteristic values of the multi-layer composite skin structure properties are 20 layers, unidirectional tape ply, total thickness 0.28cm, and ply method is anisotropic material to build the first electromagnetic simulation model, and set the equivalent conductivity tensor to (x, y, 1). Design and make the ply as [0] 20 The test specimen of the unidirectional tape has a size of 600mm*600mm. The shielding effectiveness of the test specimen in two directions orthogonal to the electric field polarization, namely 0°, 90° and 45°, is tested respectively. The time domain results are shown in Table 1.
[0075] Table 1: Time domain waveform peak results
[0076]
[0077]
[0078] Table 2: Comparison results of 90° time domain waveform peak simulation test
[0079]
[0080] As shown in Table 2, the 90° posture with higher signal strength among the three postures is taken as the current posture, and the shielding effectiveness data under the 90° posture is taken as the basis. By comparing the data of the experimental simulation of the first electromagnetic simulation model, it is confirmed that the optimal equivalent conductivity is (640, 30, 1), as shown in Figure 4 The figure shows the comparison of the SE time domain curves of the shielding effectiveness of the first electromagnetic simulation model and the test sample under the optimal equivalent conductivity and when the current posture is 90°. The green 90_measure is the SE time domain curve of the test sample, and the blue 90_simulation is the SE time domain curve of the first electromagnetic simulation model. The time domain peak value difference of the comparison result at this time is 0.1dB, as shown in FIG. Figure 5 As shown in the figure, when the current posture is 90°, the shielding effectiveness of the first electromagnetic simulation model is compared with the SE spectrum curve of the simulation test of the shielding effectiveness of the test sample. The blue SE_90_measure is the SE spectrum curve of the test sample, and the orange SE_90_simulation is the SE spectrum curve of the first electromagnetic simulation model. The FSV benchmarking results of the simulation test SE spectrum curve when the current posture is 90° are as follows: Figure 6As shown in the figure, the SE spectrum curves of simulation and test at 90° are compared, and the evaluation results are benchmarked by FSV method. The benchmarking result is Good, which means that the spectrum curve of the first electromagnetic simulation model at 90° is very similar to the test result, and it can well reflect the shielding effectiveness characteristics of the actual material at this posture, such as Figure 7 Shown is a comparison chart of the shielding effectiveness of the first electromagnetic simulation model and the shielding effectiveness of the test sample at 90°, where the red SE_90_measure_2.8nm is the shielding effectiveness data of the test sample, and the blue SE_90_simulation_2.8nm is the shielding effectiveness data of the first electromagnetic simulation model. The results show that the shielding effectiveness data of the first electromagnetic simulation model is similar to the shielding effectiveness data of the test sample. Therefore, the model corresponding to the optimal equivalent conductivity of (640, 30, 1) is set as the second electromagnetic simulation model.
[0081] The second electromagnetic simulation model is used to simulate and verify the shielding effectiveness data of 0° and 45°, where both 0° and 45° use time domain peak comparison, such as Figure 8 The figure shows the comparison of SE spectrum curves of the second electromagnetic simulation model and the test sample simulation test when the calibration posture is 45°, where the red SE_45_measure is the SE spectrum curve of the test sample, and the blue SE_45_simulation is the SE spectrum curve of the second electromagnetic simulation model. If the result meets the requirement of less than 6dB, it is determined that the second electromagnetic simulation model meets the verification conditions.
[0082] Table 3: Comparison results of 0° and 45° time domain waveform peak simulation test
[0083]
[0084] As shown in Table 3, the 0° condition data is too low and the spectrum comparison is meaningless, so 45° is selected as the calibration posture, and the frequency domain peak comparison is used, such as Fig. 9 The figure shows the FSV benchmarking result of the SE spectrum curve of the simulation test when the calibration posture is 45°. It shows the comparison of the SE spectrum curves of the simulation and the test at the 45° posture, and the evaluation results are benchmarked by the FSV method. The benchmarking result is shown as Good, which means that the spectrum curve of the second electromagnetic simulation model at the 45° posture is very similar to the test result, and can well reflect the shielding effectiveness characteristics of the actual material at this posture. Therefore, the final second electromagnetic simulation model is determined to be an anisotropic material model, which is consistent with the preset characteristic value of the test sample, such as Fig.10Shown is a comparison chart of the shielding effectiveness of the second electromagnetic simulation model and the shielding effectiveness of the test sample when the verification posture is 45°, wherein the blue SE_45_measure is the shielding effectiveness data of the test sample, and the red SE_45_simulation is the shielding effectiveness data of the second electromagnetic simulation model. The comparison results are similar, so the equivalent conductivity tensor of the second electromagnetic simulation model is determined to be (640, 30, 1), and the second electromagnetic simulation model is determined to be the final electromagnetic simulation model of the skin.
[0085] Based on the same inventive concept, the embodiments of the present application also provide a testing device for a multilayer composite material corresponding to the testing method for a multilayer composite material. Since the principle of solving the problem by the device in the embodiments of the present application is similar to the testing method for a multilayer composite material in the embodiments of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.
[0086] See also Fig.11 , Fig.11 This is a schematic diagram of the structure of a testing device for a multilayer composite material provided in an embodiment of the present application. The testing device 400 for a multilayer composite material includes:
[0087] A determination module 401 is used to determine a plurality of structural properties for characterizing a multilayer composite material;
[0088] A first constructing module 402 is used to construct a plurality of test groups, each test group includes the plurality of structural attributes, and different test groups have different characteristic values of at least one structural attribute;
[0089] A second construction module 403 is used to construct, for each test group, a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural attribute under the test group;
[0090] A calculation module 404 is used to calculate, for each first electromagnetic simulation model, first shielding effectiveness data of the first electromagnetic simulation model in a current posture, and calculate second shielding effectiveness data of a test sample in the current posture, wherein the test sample is a solid piece made according to preset characteristic values of multiple structural properties of the multilayer composite material;
[0091] A comparison module 405, for comparing a plurality of first shielding effectiveness data with the second shielding effectiveness data, and determining an optimal shielding effectiveness data from the plurality of first shielding effectiveness data;
[0092] A selection module 406 is used to select a first electromagnetic simulation model corresponding to the optimal shielding effectiveness data as a second electromagnetic simulation model;
[0093] A verification module 407, configured to calculate third shielding effectiveness data of the second electromagnetic simulation model in a verification posture, and fourth shielding effectiveness data of the test sample in a verification posture;
[0094] A judgment module 408, configured to judge whether the second electromagnetic simulation model meets a verification condition according to the third shielding effectiveness data and the fourth shielding effectiveness data;
[0095] An updating module 409 is used for selecting an updated posture if the condition is not satisfied, replacing the current posture with the updated posture, and returning to the calculation module;
[0096] The final module 410 is configured to determine the second electromagnetic simulation model as a final electromagnetic simulation model if the conditions are met.
[0097] See also Fig.12 , Fig.12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Fig.12 As shown in , the electronic device 500 includes a processor 510 , a memory 520 and a bus 530 .
[0098] The memory 520 stores machine-readable instructions executable by the processor 510. When the electronic device 500 is running, the processor 510 communicates with the memory 520 via the bus 530. When the machine-readable instructions are executed by the processor 510, the above-mentioned Figures 1 to 3 The steps of the method for testing the multilayer composite material in the method embodiment shown and the specific implementation thereof can be referred to the method embodiment, which will not be described in detail here.
[0099] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer program can execute the above-mentioned Figures 1 to 3 The steps of the method for testing the multilayer composite material in the method embodiment shown and the specific implementation thereof can be referred to the method embodiment, which will not be described in detail here.
[0100] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0101] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.
[0102] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0103] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
[0104] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0105] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
Claims
1. A method for testing a multilayer composite material, characterized in that: The method comprises: (A) Determine multiple structural properties used to characterize multilayer composites; (B) constructing a plurality of test groups, each test group including the plurality of structural attributes, and a characteristic value of a structural attribute differs between different test groups; (C) for each test group, constructing a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural attribute under the test group; (D) for each first electromagnetic simulation model, calculating first shielding effectiveness data of the first electromagnetic simulation model in a current posture, and calculating second shielding effectiveness data of a test sample in the current posture, wherein the test sample is a solid piece made according to preset characteristic values of multiple structural properties of the multilayer composite material; (E) comparing a plurality of first shielding effectiveness data with the second shielding effectiveness data, and determining an optimal shielding effectiveness data from the plurality of first shielding effectiveness data; (F) selecting a first electromagnetic simulation model corresponding to the optimal shielding effectiveness data as a second electromagnetic simulation model; (G) calculating third shielding effectiveness data of the second electromagnetic simulation model in the verification posture, and fourth shielding effectiveness data of the test sample in the verification posture; (H) judging whether the second electromagnetic simulation model satisfies a verification condition according to the third shielding effectiveness data and the fourth shielding effectiveness data; (I) If not satisfied, select an updated posture, use the updated posture to replace the current posture, and return to step (D); (J) If satisfied, determining the second electromagnetic simulation model as the final electromagnetic simulation model.
2. The method according to claim 1, characterized in that The multiple structural attributes include the number of layers, thickness and layup method of the multi-layer composite material, wherein the characteristic values of the number of layers and the characteristic values of the thickness in different test groups are the same, and the characteristic values of the layup method are different.
3. The method according to claim 2, characterized in that The ply laying methods include plying plane being anisotropic and plying plane being isotropic.
4. The method according to claim 1, characterized in that The second shielding effectiveness data of the test sample in the current posture is obtained by: The shielding box method is used to test and obtain the second shielding effectiveness data of the test sample in the current posture.
5. The method according to claim 1, characterized in that The current posture includes any one of the following: the layout plane of the multilayer composite material is parallel to the electric field polarization direction, the layout plane is perpendicular to the electric field polarization direction, and the layout plane is perpendicular to the electric field incident direction.
6. The method according to claim 1, characterized in that The best shielding effectiveness data is determined by: Determine a first time domain waveform peak absolute value of the second shielding effectiveness data, and a plurality of second time domain waveform peak absolute values corresponding to the plurality of first shielding effectiveness data; Compare the first time domain waveform peak absolute value with the plurality of second time domain waveform peak absolute values to determine a target second time domain waveform peak absolute value among the plurality of second time domain waveform peak absolute values that has the smallest difference with the first time domain waveform peak absolute value and is smaller than a difference threshold; The first shielding effectiveness data corresponding to the absolute value of the peak value of the target second time domain waveform is used as the optimal shielding effectiveness data.
7. The method according to claim 1, characterized in that The best shielding effectiveness data is determined by: Determine a first frequency domain waveform of the second shielding effectiveness data, and a plurality of second frequency domain waveforms corresponding to the plurality of first shielding effectiveness data; Compare the first frequency domain waveform with the plurality of second frequency domain waveforms to determine a target second frequency domain waveform among the plurality of second frequency domain waveforms that has the highest evaluation compared with the first frequency domain waveform and reaches an evaluation threshold; The first shielding effectiveness data corresponding to the target second frequency domain waveform is used as the optimal shielding effectiveness data.
8. A testing device for multilayer composite materials, characterized in that: The device comprises: a determination module for determining a plurality of structural properties for characterizing a multilayer composite material; A first construction module is used to construct a plurality of test groups, each test group includes the plurality of structural attributes, and different test groups have different characteristic values of at least one structural attribute; A second construction module is used to construct, for each test group, a first electromagnetic simulation model corresponding to the test group according to the characteristic value of each structural attribute under the test group; A calculation module, for calculating, for each first electromagnetic simulation model, first shielding effectiveness data of the first electromagnetic simulation model in a current posture, and calculating second shielding effectiveness data of a test sample in the current posture, wherein the test sample is a solid piece made according to preset characteristic values of multiple structural properties of the multilayer composite material; A comparison module, used for comparing a plurality of first shielding effectiveness data with the second shielding effectiveness data, and determining an optimal shielding effectiveness data from the plurality of first shielding effectiveness data; A selection module, used for selecting a first electromagnetic simulation model corresponding to the optimal shielding effectiveness data as a second electromagnetic simulation model; A verification module, used to calculate third shielding effectiveness data of the second electromagnetic simulation model in a verification posture, and fourth shielding effectiveness data of the test sample in a verification posture; A judging module, configured to judge whether the second electromagnetic simulation model satisfies a verification condition according to the third shielding effectiveness data and the fourth shielding effectiveness data; An updating module, for selecting an updated posture if the condition is not satisfied, replacing the current posture with the updated posture, and returning to the calculation module; A final module is used to determine the second electromagnetic simulation model as a final electromagnetic simulation model if it is satisfied.
9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and the processor executes the machine-readable instructions to perform the steps of any method as claimed in claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are executed.