A design method and system for a magnetic material microwave absorbing structure with a lattice core layer

Abstract

This invention provides a design method and system for a magnetic material microwave absorbing structure with a lattice core layer, relating to the field of stealth structure design technology. By determining the number of dielectric layers, lattice structure parameters, and material properties, setting the frequency range and target absorption rate, an equivalent electromagnetic parameter model is established, and swarm intelligence algorithms are used for optimization design. This invention achieves integrated "load-bearing / absorbing" characteristics, improving design efficiency and adaptability, and ensuring that the final performance meets requirements.

Description

Technical Field

[0001] This invention relates to the field of stealth structure design technology, and in particular to a design method and system for a magnetic material wave-absorbing structure containing a lattice core layer. Background Technology

[0002] With the development of information-based and intelligent modern warfare, performance requirements for combat platforms such as aircraft have been placed on "high load capacity, strong stealth, and high maneuverability." While traditional stealth structures meet stealth requirements to some extent, they still have the following shortcomings:

[0003] (1) Traditional stealth structures only consider electromagnetic characteristics and ignore the strength requirements of high load-bearing and high mobility characteristics for stealth structures.

[0004] (2) Traditional stealth structures are difficult to achieve electromagnetic stealth in the low-frequency band.

[0005] Therefore, there is an urgent need for a new type of stealth structure that can have both high load-bearing capacity and low-frequency wave absorption stealth characteristics. Summary of the Invention

[0006] In order to overcome the shortcomings of the prior art, the purpose of this invention is to provide a design method and system for a magnetic material absorbing structure with a lattice core layer, which can effectively improve the design efficiency of the magnetic material absorbing structure with a lattice core layer.

[0007] To achieve the above objectives, the present invention provides the following solution:

[0008] A method for designing a magnetic material microwave absorbing structure containing a lattice core layer, comprising:

[0009] Determine the number of dielectric layers, the lattice cell structure parameters of the core layer, and the geometric thickness of each dielectric layer in the microwave absorbing structure to be designed, and set the material properties of each dielectric layer.

[0010] Set the upper and lower frequency limits of the absorbing band, list the operating frequencies of the band between the upper and lower frequency limits, and set the target absorption rate for each operating frequency.

[0011] Establish the mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model;

[0012] Based on the swarm intelligence algorithm, the design of the absorber structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorber rate, the geometric thickness and the lattice cell structure parameters, so as to obtain the optimized structure parameters.

[0013] The performance is verified based on the optimized structural parameters and the target absorption rate, and a secondary optimization of the absorber structure to be designed is determined based on the performance verification results.

[0014] Preferably, the material properties include complex permittivity and complex permeability.

[0015] Preferably, establishing a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model includes:

[0016] The reflection and transmission coefficients of the lattice interlayer were determined using a full-wave analysis algorithm.

[0017] Based on the reflection coefficient and the transmission coefficient, the equivalent permittivity and equivalent permeability are calculated using an equivalent electromagnetic parameter inversion algorithm, and the expressions for the equivalent permittivity and the equivalent permeability are determined as the equivalent electromagnetic parameter model; the formula for calculating the equivalent permittivity is: The formula for calculating the equivalent permeability is: μ eff =nz; where ε eff μ is the equivalent complex permittivity. eff Z is the equivalent complex permeability, and z is the structural equivalent impedance. S 11 and S 21 Let n represent the reflection coefficient and the transmission coefficient, respectively, and n be the equivalent refractive index, which is given by the formula... Calculations show that k0 is the free-space wave impedance and d is the thickness of the lattice interlayer.

[0018] Based on the equivalent dielectric constant and the equivalent permeability, a mapping model between the structural parameters and the equivalent electromagnetic parameters of the second-order fractal pyramid structure is constructed according to the fully connected network to obtain the equivalent electromagnetic parameter model.

[0019] Preferably, the full-wave analysis algorithm is either the finite-difference time-domain algorithm or the finite element method.

[0020] Preferably, based on a swarm intelligence algorithm, the design of the absorber structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorber ratio, the geometric thickness, and the lattice cell structure parameters to obtain optimized structural parameters, including:

[0021] The geometric thickness and the lattice cell structure parameters are defined as a set of variables;

[0022] The target absorption rate is determined as the optimization target;

[0023] The calculated absorption rate is obtained by calculating based on the set of variables and the equivalent electromagnetic parameter model.

[0024] The objective function is determined based on the calculated absorption rate and the target absorption rate; the expression of the objective function is: Among them, Abtarget (f k ) represents the kth operating frequency point f k Target absorption rate at the location; Ab com (f k ) represents the kth operating frequency point f k The calculated absorption rate at the specified frequency point, where M is the number of the operating frequency points;

[0025] The objective function is optimized using the swarm intelligence algorithm to obtain the optimized structural parameters.

[0026] Preferably, the swarm intelligence algorithm is a particle swarm optimization algorithm.

[0027] Preferably, performance verification is performed based on the optimized structural parameters and the target absorption rate, and a secondary optimization of the absorber structure to be designed is determined based on the performance verification results, including:

[0028] An analytical model for the finite-difference time-domain method is established using the optimized structural parameters.

[0029] Calculate the absorption rate of the analysis model, and verify whether the absorption performance meets the design target based on the absorption rate of the analysis model and the target absorption rate, and obtain the verification result;

[0030] If the verification result is negative, then the geometric thickness of each medium layer is optimized a second time.

[0031] A design system for a magnetic material microwave absorbing structure containing a lattice core layer includes:

[0032] The data initialization unit is used to determine the number of dielectric layers, the lattice cell structure parameters of the lattice core layer, and the geometric thickness of each dielectric layer of the microwave absorbing structure to be designed, and to set the material properties of each dielectric layer.

[0033] The frequency point determination unit is used to set the upper and lower frequency limits of the absorption band, list the operating frequency points of the band between the upper and lower frequency limits, and set the target absorption rate for each operating frequency point.

[0034] A mapping construction unit is used to establish the mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model;

[0035] The parameter optimization unit is used to optimize the design of the absorber structure to be designed based on the swarm intelligence algorithm, according to the equivalent electromagnetic parameter model, the target absorber ratio, the geometric thickness and the lattice cell structure parameters, to obtain the optimized structural parameters.

[0036] The performance verification unit is used to perform performance verification based on the optimized structural parameters and the target absorption rate, and to determine whether to perform secondary optimization of the absorber structure to be designed based on the performance verification results.

[0037] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0038] This invention provides a design method and system for a magnetic material microwave absorbing structure with a lattice core layer. Combining the excellent specific strength and specific stiffness characteristics of lattice structures, it achieves high load-bearing capacity under the constraint of "lightweight" design. Simultaneously, it utilizes the low-frequency absorption capability of magnetic materials, overcoming the limitations of traditional materials in low-frequency absorption performance. This integrated "load-bearing / absorption" characteristic allows the structure to meet stealth requirements while possessing good mechanical properties. Through swarm intelligence algorithms for structural optimization design, design variables can be flexibly adjusted based on the target absorption rate, geometric thickness, and lattice cell structure parameters. This flexibility allows designers to quickly respond to different design requirements and performance targets, improving design adaptability. A performance verification step enables timely evaluation of the design's effectiveness, and secondary optimization can be performed based on the verification results. This feedback mechanism ensures that the final design meets the expected performance requirements, reducing the risk of design failure. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart of the method provided in an embodiment of the present invention;

[0041] Figure 2 Design flowchart provided for embodiments of the present invention;

[0042] Figure 3 This is a schematic diagram of the wave-absorbing structure provided in an embodiment of the present invention;

[0043] Figure 4 This is a schematic diagram of the dielectric layer provided in an embodiment of the present invention;

[0044] Figure 5 A schematic diagram of optimized parameters for a single support rod provided in an embodiment of the present invention;

[0045] Figure 6 A schematic diagram of the absorption rate full-wave analysis results before and after secondary optimization provided in an embodiment of the present invention;

[0046] Figure 7 This is a schematic diagram of the system structure provided in an embodiment of the present invention. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] The purpose of this invention is to provide a design method and system for a magnetic material absorbing structure with a lattice core layer, which can effectively improve the design efficiency of the magnetic material absorbing structure with a lattice core layer.

[0049] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] Figure 1 The method flowchart provided in the embodiments of the present invention is as follows: Figure 1 As shown, the present invention provides a method for designing a magnetic material microwave absorbing structure containing a lattice core layer, comprising:

[0051] Step 100: Determine the number of dielectric layers, the lattice cell structure parameters of the core layer, and the geometric thickness of each dielectric layer in the microwave absorbing structure to be designed, and set the material properties of each dielectric layer.

[0052] Step 200: Set the upper and lower frequency limits of the absorbing band, list the operating frequencies of the band between the upper and lower frequency limits, and set the target absorption rate for each operating frequency.

[0053] Step 300: Establish the mapping relationship between lattice cell structure parameters and material properties to obtain an equivalent electromagnetic parameter model;

[0054] Step 400: Based on the swarm intelligence algorithm, optimize the design of the absorber structure to be designed according to the equivalent electromagnetic parameter model, target absorber rate, geometric thickness and lattice cell structure parameters, and obtain the optimized structure parameters;

[0055] Step 500: Perform performance verification based on the optimized structural parameters and target absorption rate, and determine whether to perform secondary optimization of the absorber structure to be designed based on the performance verification results.

[0056] like Figure 2 As shown, the workflow of this embodiment is as follows:

[0057] S1: Determine the cross-sectional composition of the microwave absorbing structure to be designed, clarify the number of dielectric layers and the cell structure of the lattice core layer, and set the material properties: set the complex permittivity of the materials corresponding to each dielectric layer, including the lattice core layer. and complex permeability

[0058] Where, ε r tgδ is the relative permittivity. ε μ is the tangent of the dielectric loss angle. r tgδ is the relative permeability. μ This is the tangent of the magnetic loss angle.

[0059] S2: Set the upper frequency limit f of the absorbing frequency band H and frequency lower limit f L M operating frequencies of interest within the frequency range f k (k = 1, 2, ..., M) and the target absorbance Ab at the frequency of interest within the frequency band. target (f k ).

[0060] S3: Establish an equivalent electromagnetic parameter model for the lattice sandwich, that is: use a fully connected neural network to construct a mapping model between the lattice cell structure parameters and the equivalent electromagnetic parameters.

[0061] An equivalent electromagnetic parameter model of the lattice sandwich is established. This model is characterized by using a fully connected neural network to describe the correlation and mapping relationship between the structural parameters and equivalent electromagnetic parameters of the lattice sandwich. Furthermore, the model establishment requires, based on the determination of the complex permittivity and complex permeability of the lattice sandwich in step S1, the calculation of the scattering parameters (S-parameters) of the lattice sandwich using full-wave analysis algorithms (finite-difference time-domain algorithm, finite element method, etc.), and the calculation of the equivalent permittivity and equivalent permeability using an equivalent electromagnetic parameter inversion algorithm. The specific formulas are as follows:

[0062]

[0063] μ eff =nz

[0064] In the formula, S 11 S 21 Let S be the S-parameters, where k0 is the free-space wave impedance, d is the lattice interlayer thickness, z is the structural equivalent impedance, n is the equivalent refractive index, and ε is the S-parameters. eff μ is the equivalent complex permittivity. eff It is the equivalent complex permeability.

[0065] S4: Swarm intelligence algorithm is used for structural optimization design. The design variables are the structural parameters of the lattice sandwich layer and the geometric thickness of the dielectric layer. The absorption rate of the structure is calculated using equivalent transmission line theory.

[0066] Structural optimization design is performed using particle swarm intelligence algorithms, and the absorption rate of the structure is calculated using equivalent transmission line theory. The upper frequency limit f is determined by S2. H and frequency lower limit f L Select M operating frequencies f from among them. k (k = 1, 2, ..., M), each frequency point f k The absorption rate at a certain point can be calculated using the following formula:

[0067] Ab com =1-|S 21 | 2 -|S 11 | 2

[0068] In the formula,

[0069] In the formula, A, B, C, and D are the elements of the transfer matrix of the absorbing structure, and Z0 is the free space wave impedance.

[0070] For an absorbing structure containing N dielectric layers (including a lattice core layer and a metal backplane), its transfer transmission matrix T is a concatenation of the transfer transmission matrices of each dielectric layer, as follows:

[0071]

[0072] In the formula,

[0073]

[0074] In the formula, Z represents the complex permittivity and complex permeability of the i-th dielectric layer, respectively. i Let θ be the impedance of the i-th dielectric layer, θ0 be the incident angle, and c be the speed of light in free space.

[0075] When calculating the transfer matrix of an absorbing structure, the above formula cannot be used to calculate the transfer matrix of the metal backplate. Instead, the following formula should be used and substituted into the formula for calculating the transfer matrix T of the absorbing structure containing N layers of dielectric (including the lattice core layer and the metal backplate).

[0076]

[0077] In the formula, R Ω The surface resistance of the metal backing plate is denoted as .

[0078] In swarm intelligence algorithms, the fitness function for evaluating the performance of a swarm is:

[0079]

[0080] In the formula, Ab target (f k ) is the k-th frequency point f set in S2 k Target absorption rate at the location; Ab com (f k ) represents the k-th frequency point f k The calculated absorption rate at that location.

[0081] S5: Use full-wave analysis algorithms such as the finite-difference time-domain method to verify the performance. If the performance does not meet the standard, perform secondary optimization of the structural parameters until the performance meets the standard and the structural design is completed.

[0082] Using the structural parameters determined by S4, a structural model of a magnetic material absorbing structure containing a lattice core layer is established. The absorbance Ab of the structure is then calculated again using full-wave analysis methods such as the finite-difference time-domain algorithm. FW (f k The absorption rate Ab calculated for the entire wave. FW (f k ) and target absorption rate Ab target (f k The results are compared to verify whether the performance meets the standards. If the performance meets the standards, the design is completed; if not, the geometric thickness of the dielectric layer determined in S4 is optimized again until the performance meets the standards.

[0083] As an optional implementation method, a typical application example of this embodiment is as follows:

[0084] S1: A schematic diagram of the absorbing structure to be optimized is shown below. Figure 3 As shown.

[0085] The structure comprises five dielectric layers (numbered 1, 2, 3, 4, and 5 from top to bottom) and one lattice core layer (located between dielectric layer 1 and dielectric layer 2). The cell structure of the lattice core layer is a second-order fractal pyramid structure. The material parameters for the dielectric layers and the lattice core layer are set as follows:

[0086] Dielectric layer 1:

[0087] Dielectric layer 2:

[0088] Dielectric layer 3:

[0089] Dielectric layer 4:

[0090] Dielectric layer 5:

[0091] like Figure 4 As shown, the material properties of the lattice structure are consistent with those of dielectric layer 1 and dielectric layer 2.

[0092] S2: Frequency upper limit f H =12GHz and lower frequency limit f L =3GHz, the target absorbance Ab of 10 operating frequencies of interest within the frequency range of 3GHz, 4GHz, 5GHz, 6GHz, 7GHz, 8GHz, 9GHz, 10GHz, 11GHz, and 12GHz, and other frequencies of interest within the frequency band. target >90%.

[0093] S3: Calculate the S-parameters of the second-order fractal pyramid structure using the finite-difference time-domain algorithm, determine the corresponding equivalent electromagnetic parameters, and construct a mapping model between the structural parameters and equivalent electromagnetic parameters of the second-order fractal pyramid structure using a fully connected network.

[0094] S4: Using the particle swarm optimization algorithm, with Ab set in S2 target To achieve this, the geometric thickness of each dielectric layer and the cell structure parameters of the second-order fractal pyramid lattice in the absorbing structure of S1 are optimized. The absorbance Ab under the corresponding structural parameters is calculated using transmission line theory. com (f k The equivalent electromagnetic parameters (complex permittivity and complex permeability) of the lattice core layer are determined by the model established in S3.

[0095] The optimized structural parameters are as follows:

[0096] Dielectric layer 1: Geometric thickness 1mm

[0097] Dielectric layer 2: Geometric thickness 0.5mm

[0098] Dielectric layer 3: Geometric thickness 1mm

[0099] Dielectric layer 4: Geometric thickness 0.5mm

[0100] Dielectric layer 5: Geometric thickness 1.5mm

[0101] The lattice sandwich layer is a second-order fractal lattice structure, and the optimized parameters of a single support are as follows: Figure 5 As shown

[0102] S5: Using the structural parameters determined in S4, establish an analytical model using the finite-difference time-domain method, calculate the absorption rate of the model, and verify whether the absorption performance meets the design target (absorption rate > 90%). Since the full-wave analysis results do not meet the design target, a secondary optimization is performed on the geometric thickness of each dielectric layer. The optimized structural parameters are as follows:

[0103] Dielectric layer 1: Geometric thickness 1.2mm

[0104] Dielectric layer 2: Geometric thickness 0.34 mm

[0105] Dielectric layer 3: Geometric thickness 1.22mm

[0106] Dielectric layer 4: Geometric thickness 0.5mm

[0107] Dielectric layer 5: Geometric thickness 1.6mm

[0108] The full-wave absorption analysis results before and after the second optimization are as follows: Figure 6 As shown.

[0109] Corresponding to the above methods, such as Figure 7 As shown, this embodiment also provides a design system for a magnetic material microwave absorbing structure containing a lattice core layer, including:

[0110] The data initialization unit is used to determine the number of dielectric layers, the lattice cell structure parameters of the lattice core layer, and the geometric thickness of each dielectric layer of the microwave absorbing structure to be designed, and to set the material properties of each dielectric layer.

[0111] The frequency point determination unit is used to set the upper and lower frequency limits of the absorption band, list the operating frequency points of the band between the upper and lower frequency limits, and set the target absorption rate for each operating frequency point.

[0112] A mapping construction unit is used to establish the mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model;

[0113] The parameter optimization unit is used to optimize the design of the absorber structure to be designed based on the swarm intelligence algorithm, according to the equivalent electromagnetic parameter model, the target absorber ratio, the geometric thickness and the lattice cell structure parameters, to obtain the optimized structural parameters.

[0114] The performance verification unit is used to perform performance verification based on the optimized structural parameters and the target absorption rate, and to determine whether to perform secondary optimization of the absorber structure to be designed based on the performance verification results.

[0115] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0116] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for designing a magnetic material microwave absorbing structure containing a lattice core layer, characterized in that, include: Determine the number of dielectric layers, the lattice cell structure parameters of the core layer, and the geometric thickness of each dielectric layer in the microwave absorbing structure to be designed, and set the material properties of each dielectric layer. Set the upper and lower frequency limits of the absorbing band, list the operating frequencies of the band between the upper and lower frequency limits, and set the target absorption rate for each operating frequency. Establish the mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model; Based on the swarm intelligence algorithm, the design of the absorber structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorber rate, the geometric thickness and the lattice cell structure parameters, so as to obtain the optimized structure parameters. The swarm intelligence algorithm is a particle swarm optimization algorithm. The performance is verified based on the optimized structural parameters and the target absorption rate, and a secondary optimization of the absorber structure to be designed is determined based on the performance verification results.

2. The design method for a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that, The material properties include complex permittivity and complex permeability.

3. The design method for a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that, Establishing a mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model includes: The reflection and transmission coefficients of the lattice interlayer were determined using a full-wave analysis algorithm. Based on the reflection coefficient and the transmission coefficient, the equivalent permittivity and equivalent permeability are calculated using an equivalent electromagnetic parameter inversion algorithm, and the expressions for the equivalent permittivity and the equivalent permeability are determined as the equivalent electromagnetic parameter model; the formula for calculating the equivalent permittivity is: The formula for calculating the equivalent permeability is: ;in, ε eff The equivalent complex permittivity, μ eff For equivalent complex permeability, z The equivalent impedance of the structure. , S 11 and S 21 These represent the reflection coefficient and the transmission coefficient, respectively. n For equivalent refractive index, n From the formula The calculations yielded the following results: k 0 For free space wave impedance, d The thickness of the lattice interlayer; Based on the equivalent permittivity and the equivalent permeability, a mapping model between the structural parameters and the equivalent electromagnetic parameters of the second-order fractal pyramid structure is constructed using a fully connected neural network to obtain the equivalent electromagnetic parameter model.

4. The design method for a magnetic material absorbing structure containing a lattice core layer according to claim 3, characterized in that, The full-wave analysis algorithm can be either the finite-difference time-domain algorithm or the finite element method.

5. The design method for a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that, Based on a swarm intelligence algorithm, the microwave absorbing structure to be designed is optimized according to the equivalent electromagnetic parameter model, the target absorber ratio, the geometric thickness, and the lattice cell structure parameters, resulting in optimized structural parameters, including: The geometric thickness and the lattice cell structure parameters are defined as a set of variables; The target absorption rate is determined as the optimization target; The calculated absorption rate is obtained by calculating based on the set of variables and the equivalent electromagnetic parameter model. The objective function is determined based on the calculated absorption rate and the target absorption rate; the expression of the objective function is: ;in, For the first k The operating frequency points f k Target absorption rate at the location; For the first k The operating frequency points f k The calculated absorption rate at that location M The number of the operating frequency points; The objective function is optimized using the swarm intelligence algorithm to obtain the optimized structural parameters.

6. The design method for a magnetic material absorbing structure containing a lattice core layer according to claim 1, characterized in that, The performance is verified based on the optimized structural parameters and the target absorption rate, and a secondary optimization of the designed absorbing structure is determined based on the performance verification results, including: An analytical model for the finite-difference time-domain method is established using the optimized structural parameters. Calculate the absorption rate of the analysis model, and verify whether the absorption performance meets the design target based on the absorption rate of the analysis model and the target absorption rate, and obtain the verification result; If the verification result is negative, then the geometric thickness of each medium layer is optimized a second time.

7. A design system for a magnetic material wave-absorbing structure containing a lattice core layer, characterized in that, include: The data initialization unit is used to determine the number of dielectric layers, the lattice cell structure parameters of the lattice core layer, and the geometric thickness of each dielectric layer of the microwave absorbing structure to be designed, and to set the material properties of each dielectric layer. The frequency point determination unit is used to set the upper and lower frequency limits of the absorption band, list the operating frequency points of the band between the upper and lower frequency limits, and set the target absorption rate for each operating frequency point. A mapping construction unit is used to establish the mapping relationship between the lattice cell structure parameters and the material properties to obtain an equivalent electromagnetic parameter model; The parameter optimization unit is used to optimize the design of the absorber structure to be designed based on the swarm intelligence algorithm, according to the equivalent electromagnetic parameter model, the target absorber ratio, the geometric thickness and the lattice cell structure parameters, to obtain the optimized structural parameters. The swarm intelligence algorithm is a particle swarm optimization algorithm. The performance verification unit is used to perform performance verification based on the optimized structural parameters and the target absorption rate, and to determine whether to perform secondary optimization of the absorber structure to be designed based on the performance verification results.

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