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CN-121723796-B - Metal mesh design optimization system and method based on electromagnetic shielding effectiveness

CN121723796BCN 121723796 BCN121723796 BCN 121723796BCN-121723796-B

Abstract

The invention discloses a metal grid design optimization system and method based on electromagnetic shielding effectiveness, and belongs to the technical field of electromagnetic shielding. The method comprises the steps of obtaining spatial electromagnetic field distribution data of a target area and base material parameters, establishing associated data of shielding effectiveness and grid unit geometric parameters through electromagnetic simulation, identifying key geometric characteristics sensitive to electromagnetic fields, constructing a gradient non-periodic topological structure model of a metal grid according to the key geometric characteristics, carrying out multi-physical field collaborative simulation and iterative optimization on electromagnetic shielding stability and structural strength of the model, and finally generating a digital design package containing a three-dimensional model, an engineering drawing and a process file. According to the invention, the actual electromagnetic environment is combined with the structural design depth, so that the maximization of the shielding efficiency of the metal mesh grid, the improvement of the stability and the cooperative optimization of the electromagnetic and mechanical properties are realized.

Inventors

  • CAO YANG
  • LIU ZHENXUE
  • XIAO DI
  • CHENG KE
  • DAI LEI

Assignees

  • 青岛华芯晶电科技有限公司
  • 青岛芯微半导体科技有限公司

Dates

Publication Date
20260505
Application Date
20260225

Claims (7)

  1. 1. The metal mesh design optimization method based on electromagnetic shielding effectiveness is characterized by comprising the following steps of: S1, acquiring spatial electromagnetic field distribution data of a target area, wherein the spatial electromagnetic field distribution data comprise electric field intensity, magnetic field intensity and electromagnetic wave propagation direction, and simultaneously acquiring electromagnetic parameters and geometric constraint conditions of a metal mesh substrate material; S2, based on the space electromagnetic field distribution data, establishing a quantitative analysis model of reflection, absorption and transmission of electromagnetic waves by the metal grid unit through electromagnetic simulation to obtain associated data of shielding effectiveness, grid unit shape, size and arrangement mode, wherein the quantitative analysis model comprises the following steps: S210, determining excitation source parameters required by electromagnetic simulation based on the electric field intensity, the magnetic field intensity and the electromagnetic wave propagation direction in the spatial electromagnetic field distribution data, and setting plane wave excitation with corresponding amplitude, polarization and incidence direction in electromagnetic simulation software; S220, establishing a parameterized metal grid unit simulation model library in electromagnetic simulation software according to preset unit shapes, size parameters and periodic arrangement modes, wherein the construction range of the metal grid unit simulation model library is constrained by the minimum processable line width; S230, calculating reflection coefficients, absorption coefficients and transmission coefficients of each parameter combination model in a metal grid unit simulation model library in a target frequency band under the excitation of the plane waves, calculating shielding effectiveness according to the transmission coefficients, and summarizing all parameter combinations and shielding effectiveness values corresponding to the parameter combinations to form associated data; S3, carrying out nonlinear fitting on the associated data by combining electromagnetic parameters and geometric constraint conditions to generate an electromagnetic response characteristic curve of the metal grid unit under multiple frequency bands, and identifying key geometric features sensitive to electromagnetic field changes, wherein the method comprises the following steps: S310, updating the electromagnetic parameters, namely the complex relative permittivity and the complex relative permeability, as material properties into simulation settings of electromagnetic simulation software, recalculating shielding effectiveness of part of sample points in the associated data by using the updated simulation settings, and calibrating the original associated data according to a recalculation result to obtain a calibrated associated data set; S320, taking a unit shape code number, a unit feature size and an arrangement period as independent variables, taking a shielding effectiveness value under each target frequency point as a dependent variable, and adopting a least square method to perform multi-element nonlinear surface fitting on the calibrated associated data set so as to establish a mapping function from a geometric parameter to shielding effectiveness; s330, analyzing partial derivatives of the mapping function on respective variables in a preset frequency band, and identifying geometrical parameters corresponding to independent variables which cause the shielding effectiveness change rate to exceed a set threshold as key geometrical features sensitive to electromagnetic field change; s4, constructing a gradient non-periodic topological structure model of the metal mesh according to key geometric characteristics, wherein the gradient non-periodic topological structure model comprises the following steps: S410, determining the geometric parameter with highest change sensitivity in the key geometric feature as a target geometric parameter based on the key geometric feature, defining the propagation direction of the electromagnetic wave as a space gradient direction, establishing a preset function relation of continuous change of the target geometric parameter along the space gradient direction in an outline boundary, and taking the preset function relation as a gradient change rule of unit parameters; S420, on the premise of meeting the minimum processable line width and the minimum interval constraint among units in the geometric constraint condition, generating a numerical sequence of the target geometric parameter according to the gradient change rule, wherein the numerical values in the numerical sequence are changed in a gradient mode along the space gradient direction; S430, calculating the maximum thickness dimension of the initial topological structure in the direction vertical to the plane of the substrate, judging whether the maximum thickness dimension is smaller than or equal to the maximum allowable overall thickness, if the maximum thickness dimension is larger than the maximum allowable overall thickness, carrying out equal-proportion compression adjustment on the longitudinal dimensions of all units in the initial topological structure until the compressed maximum thickness dimension meets the maximum allowable overall thickness constraint, and generating a final gradient aperiodic topological structure model; s5, performing electromagnetic structure coupling simulation on the gradient non-periodic topological structure model, evaluating shielding stability and mechanical strength in an actual electromagnetic environment, and minimizing shielding effectiveness fluctuation through iterative adjustment of unit parameters; S6, generating a digital design file of the metal mesh grid according to the optimized gradient non-periodic topological structure model, and obtaining accurate definition and preparation process requirements of each unit.
  2. 2. The method for optimizing metal grid design based on electromagnetic shielding effectiveness according to claim 1, wherein the step of obtaining the spatial electromagnetic field distribution data of the target area, including the electric field strength, the magnetic field strength and the electromagnetic wave propagation direction, and simultaneously obtaining the electromagnetic parameters and the geometric constraint conditions of the metal grid substrate material, includes: s110, arranging a plurality of measuring points in a target area, and collecting electric field intensity values of the measuring points by using a field intensity measuring instrument to form electric field intensity; S120, based on the electric field intensity and the magnetic field intensity, obtaining the propagation direction of the electromagnetic wave by calculating the direction of a Ping steady gradient Intin vector; s130, taking the acquired electric field intensity, magnetic field intensity and electromagnetic wave propagation direction as spatial electromagnetic field distribution data; S140, acquiring complex relative dielectric constants and complex relative magnetic permeability of the metal grid substrate material as electromagnetic parameters, and acquiring parameters including maximum allowable overall thickness, minimum processable line width and outer contour boundaries as geometric constraint conditions.
  3. 3. The method for optimizing metal grid design based on electromagnetic shielding effectiveness according to claim 2, wherein the performing electromagnetic structure coupling simulation on the graded non-periodic topological structure model, evaluating shielding stability and mechanical strength in an actual electromagnetic environment, and minimizing fluctuation of shielding effectiveness by iteratively adjusting unit parameters comprises: S510, performing multi-angle incidence electromagnetic simulation on the gradient non-periodic topological structure model, changing the plane wave incidence angle with a fixed step length within a preset incidence angle range, calculating the shielding effectiveness under each incidence angle, and evaluating the shielding stability with the standard deviation of the shielding effectiveness under all incidence angles; S520, carrying out statics finite element analysis on the gradient non-periodic topological structure model, simulating stress distribution of the gradient non-periodic topological structure model under a preset load, and taking whether a maximum stress point exceeds the yield strength of a material as an evaluation standard of mechanical strength; S530, with the standard deviation of shielding effectiveness minimized as an optimization target, with the geometric constraint condition not being violated and the mechanical strength estimated as constraint, adjusting the variation function parameters and the unit distribution density of the numerical sequence through an iterative algorithm; s540, outputting a final model parameter set meeting the optimization target and all constraint conditions.
  4. 4. The method for optimizing metal grid design based on electromagnetic shielding effectiveness according to claim 3, wherein the generating a digital design file of the metal grid according to the optimized gradient non-periodic topological structure model to obtain accurate definition and preparation process requirements of each unit comprises: S610, reconstructing the optimized gradient non-periodic topological structure three-dimensional model according to the final model parameter set to obtain a final metal grid three-dimensional model, and accurately recording the center point coordinates, the shape control parameters and the feature sizes of each independent unit; S620, labeling each unit in the metal grid three-dimensional model with recommended preparation process aiming at the minimum processable line width and the substrate material property; And S630, integrating the three-dimensional model of the metal mesh grid, a list containing all unit parameters and process marking information, and outputting a digital design file containing a three-dimensional entity file, a two-dimensional engineering drawing and a manufacturing process instruction.
  5. 5. A metal grid design optimization system based on electromagnetic shielding effectiveness, for implementing the metal grid design optimization method based on electromagnetic shielding effectiveness according to any one of claims 1 to 4, comprising: The data acquisition module is used for acquiring the spatial electromagnetic field distribution data of the target area, including the electric field intensity, the magnetic field intensity and the electromagnetic wave propagation direction, and simultaneously acquiring the electromagnetic parameters and the geometric constraint conditions of the metal mesh substrate material; The simulation modeling module is used for establishing a quantitative analysis model of reflection, absorption and transmission of electromagnetic waves by the metal grid unit through electromagnetic simulation based on the spatial electromagnetic field distribution data to obtain associated data of shielding effectiveness and grid unit shape, size and arrangement mode; The characteristic analysis module is used for combining electromagnetic parameters and geometric constraint conditions, carrying out nonlinear fitting on the associated data, generating an electromagnetic response characteristic curve of the metal grid unit under multiple frequency bands, and identifying key geometric characteristics sensitive to electromagnetic field changes; the structure construction module is used for constructing a gradient non-periodic topological structure model of the metal mesh grid according to the key geometric characteristics; the coupling optimization module is used for carrying out electromagnetic structure coupling simulation on the gradient non-periodic topological structure model, evaluating the shielding stability and mechanical strength under the actual electromagnetic environment, and minimizing the fluctuation of shielding effectiveness through iterative adjustment of unit parameters; The file generation module is used for generating a digital design file of the metal mesh grid according to the optimized gradient non-periodic topological structure model to obtain accurate definition and preparation process requirements of each unit.
  6. 6. An electronic device comprising a processor and a memory, wherein the memory stores a computer program which can be called by the processor, and the processor executes the metal grid design optimization method based on electromagnetic shielding effectiveness according to any one of claims 1 to 4 by calling the computer program stored in the memory.
  7. 7. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, implements the electromagnetic shielding effectiveness-based metal grid design optimization method of any one of claims 1 to 4.

Description

Metal mesh design optimization system and method based on electromagnetic shielding effectiveness Technical Field The invention belongs to the technical field of electromagnetic shielding, and particularly relates to a metal mesh grid design optimization system and method based on electromagnetic shielding effectiveness. Background The metal mesh grid is used as an important light-transmitting electromagnetic shielding element and has wide application in scenes such as electronic equipment windows, radomes and the like. The shielding effectiveness of the electromagnetic shielding material mainly depends on the geometric configuration and arrangement mode of the grid units and the reflection, absorption and transmission characteristics of the electromagnetic waves. The existing metal grid designs mostly adopt periodic regular structures, such as square or hexagonal grids. The structure is stable when dealing with uniform electromagnetic fields, but when facing actual environments with uneven or complex changes of spatial electromagnetic field distribution, the shielding effectiveness of the structure may be fluctuated or partially disabled, and the optimal broadband and multi-angle shielding is difficult to realize. The traditional design method often depends on an empirical formula or simple simulation, and takes the electromagnetic performance and structural design fracture into consideration, and does not fully consider the specific distribution of the actual electromagnetic environment and the actual electromagnetic characteristics of the substrate material, and does not take engineering constraints such as mechanical strength into an optimized closed loop. In addition, the shielding performance of the conventional uniform or periodic structure is sensitive to the angle of the incident wave, and the stability is insufficient. Therefore, a design method of the metal grid which can be tightly combined with the actual electromagnetic environment, realize the cooperative optimization of electromagnetic performance and structural mechanical performance, and automatically generate high adaptability and high shielding stability is needed. Disclosure of Invention In order to overcome the defects that the metal grid design in the prior art cannot adapt to a complex electromagnetic environment, the shielding stability is poor and the multi-physical-field collaborative optimization is not realized in the design process, the invention provides a metal grid design optimization system and method based on electromagnetic shielding effectiveness, and aims to maximize and stabilize the shielding effectiveness of the metal grid in a specific electromagnetic environment. In order to achieve the above purpose, the invention adopts the following technical scheme: In a first aspect, the present invention provides a metal mesh design optimization method based on electromagnetic shielding effectiveness, including the steps of: S1, acquiring spatial electromagnetic field distribution data of a target area, wherein the spatial electromagnetic field distribution data comprise electric field intensity, magnetic field intensity and electromagnetic wave propagation direction, and simultaneously acquiring electromagnetic parameters and geometric constraint conditions of a metal mesh substrate material; S2, based on the spatial electromagnetic field distribution data, establishing a quantitative analysis model of reflection, absorption and transmission of electromagnetic waves by the metal grid unit through electromagnetic simulation, and obtaining associated data of shielding effectiveness, grid unit shape, size and arrangement mode; s3, combining electromagnetic parameters and geometric constraint conditions, performing nonlinear fitting on the associated data to generate an electromagnetic response characteristic curve of the metal grid unit under multiple frequency bands, and identifying key geometric features sensitive to electromagnetic field changes; s4, constructing a gradient non-periodic topological structure model of the metal mesh according to the key geometric characteristics; s5, performing electromagnetic structure coupling simulation on the gradient non-periodic topological structure model, evaluating shielding stability and mechanical strength in an actual electromagnetic environment, and minimizing shielding effectiveness fluctuation through iterative adjustment of unit parameters; S6, generating a digital design file of the metal mesh grid according to the optimized gradient non-periodic topological structure model, and obtaining accurate definition and preparation process requirements of each unit. According to the above technical solution, the acquiring the spatial electromagnetic field distribution data of the target area, including the electric field strength, the magnetic field strength and the electromagnetic wave propagation direction, and simultaneously acquiring the electromagnetic parameters and the geometr