A material property gradient distribution metamaterial structure, implementation method and system

Abstract

A metamaterial structure with a gradient distribution of material properties, its implementation method, and system are disclosed. The structure comprises a metamaterial structural configuration and a gradient distribution of material properties within the solid region of the structural configuration. The implementation method includes: determining overall functional performance targets, local service response characteristics, and a design domain; designing an initial metamaterial structural configuration that satisfies or approximates the overall functional performance targets under the assumption of homogeneous material properties; optimizing and adjusting the gradient distribution of material properties within the solid region based on the response results, while maintaining the basic spatial distribution of the initial metamaterial structural configuration, thereby improving the local service response characteristics and keeping the overall functional performance targets within the allowable deviation range; and obtaining a metamaterial structure with the target gradient distribution of material properties. This invention can improve local service response and enhance the engineering applicability of the structure while ensuring overall functional performance.

Description

Technical Field

[0001] This invention belongs to the fields of structural design, additive manufacturing design and material property control technology, specifically relating to a metamaterial structure with gradient material property distribution, its implementation method and system. Background Technology

[0002] Existing methods for realizing metamaterial structures or functional structures typically employ a single material system, relying primarily on the control of microstructure geometry to achieve predetermined functional performance. For such structures, microstructure geometry can significantly influence overall functional performance objectives, such as overall equivalent stiffness, overall load-bearing capacity, overall directional response, energy absorption buffering, and load transfer, by altering the spatial distribution, topological connectivity, load-bearing path, and directional characteristics of solid and porous regions within the design domain.

[0003] However, when design tasks involve complex functional requirements, direction-dependent performance, or local service reliability control, relying solely on microstructure geometry design often makes it difficult to simultaneously achieve overall functional performance goals, local service response characteristics, and manufacturing feasibility. At the same time, complex microstructures are also easily limited by manufacturing resolution, process window, and material response characteristics, thus affecting their engineering application effectiveness.

[0004] With the development of multi-material additive manufacturing technology, by introducing spatially varying material composition, material parameters, or process control parameters within the structure, the distribution of material properties can be controlled, thus providing additional degrees of freedom for functional structural design. Compared to relying solely on geometric configuration design, introducing material property distribution design is beneficial for more precise control of local service response while maintaining overall functional performance requirements. In existing technologies, for example, patent CN104923787A discloses a 3D printing method for gradient material structures, indicating that the manufacturing processes and preparation methods for related gradient material structures have reached a certain level of maturity.

[0005] However, existing technologies mainly focus on the manufacturing realization of gradient material structures, and mainly address manufacturing-level issues. In terms of implementation methods, related solutions for multi-material or gradient material functional structures often focus more on the material distribution itself, lacking coordination with structural configuration design. Therefore, it is difficult to simultaneously meet the requirements of overall functional performance goals and local service response characteristics within a unified design framework.

[0006] Furthermore, from the perspective of functional realization mechanisms, structural configuration primarily exerts a dominant influence on overall functional performance objectives such as overall equivalent stiffness, overall load-bearing capacity, and overall directional response by altering the spatial distribution, topological connections, load-bearing paths, and directional characteristics of solid and porous regions within the design domain. Material property distribution, on the other hand, is based on a given structural configuration, and by differentially configuring the stiffness, strength, damping, or other performance parameters of materials in local areas, it is more suitable for refined control of local service response characteristics such as local stress concentration, local strain concentration, energy concentration, damage-sensitive areas, and fatigue risks. Therefore, relying solely on structural configuration design often makes it difficult to balance overall functional performance and local service reliability; while fully coupling structural configuration variables and material property variables for integrated solution can easily lead to an excessive number of design variables, high computational complexity, and significant implementation difficulties.

[0007] Therefore, existing technologies still lack a material-structure synergistic approach that takes into account overall functional performance goals, local service response characteristics, and manufacturing feasibility. Summary of the Invention

[0008] The purpose of this invention is to address the shortcomings of existing methods for realizing metamaterial structures or functional structures, which mainly rely on a single material system and microstructure geometry control, making it difficult to simultaneously achieve overall functional performance goals, local service response characteristics, and manufacturing feasibility. This invention provides a metamaterial structure with a gradient distribution of material properties and its implementation method. This method involves phased and coordinated processing of structural configuration design and material property gradient distribution design. While ensuring that the overall functional performance goals are basically met, it regulates and improves the local service response characteristics of the structure under service conditions, thereby improving the reliability, durability, and engineering applicability of the structure. The metamaterial structure with a gradient distribution of material properties refers to a functional structure including a metamaterial structural configuration and a material property gradient distribution distributed within the solid region of the structural configuration. The material property gradient distribution changes continuously or hierarchically along its spatial position and works in conjunction with the structural configuration to achieve the preset overall functional performance goals and improve local service response characteristics.

[0009] One of the technical solutions of this invention is:

[0010] A method for realizing a metamaterial structure with gradient distribution of material properties, characterized by the following steps:

[0011] S1, determine the overall functional performance objectives, local service response characteristics, and design domain of the structure to be designed;

[0012] S2, Under the assumption of homogeneous material properties, the structural configuration within the design domain is designed according to the overall functional performance target to obtain an initial metamaterial structural configuration that satisfies or approximates the overall functional performance target;

[0013] S3, taking the overall functional performance target or its allowable deviation range as constraints and the local service response characteristics as optimization targets, optimize the material property gradient distribution within the initial metamaterial structure configuration to improve the local service response characteristics without sacrificing the overall functional performance target.

[0014] S4. The optimized material property gradient distribution is applied to the initial metamaterial structure configuration to obtain a metamaterial structure with the target material property gradient distribution.

[0015] Preferably, step S3 includes: performing response analysis on the initial metamaterial structure configuration and its material property distribution based on one or more load conditions, boundary conditions or external field conditions to obtain structural response results; adjusting the material property gradient distribution according to the structural response results, and optimizing the overall functional performance target through one or more iterations to keep it within the allowable deviation range.

[0016] Preferably, the structural response result includes at least one of stress field, strain field, displacement field, energy density field, damage factor field, fatigue risk field, or multi-field fusion result; when there are multiple working conditions, the response results under multiple working conditions can be fused to obtain a comprehensive response result, and the material property gradient distribution can be optimized and adjusted based on the comprehensive response result.

[0017] Preferably, the gradient distribution of material properties is characterized by a material property control parameter field, wherein the material property control parameter is one or more of image grayscale value, projected light intensity, voxel control value, proportioning parameter or other process control parameter; there is a preset mapping relationship between the material property control parameter and the material performance parameter, and the mapping relationship can be established by experimental calibration, simulation fitting, table lookup mapping or calling an existing database.

[0018] The second technical solution of the present invention is:

[0019] A metamaterial structure with a gradient distribution of material properties includes a metamaterial structural configuration and a gradient distribution of material properties distributed within the solid region of the structural configuration. The structural configuration is one or more of a periodic, gradient, or disordered lattice structural configuration. The gradient distribution of material properties varies continuously or hierarchically along the spatial position. The structural configuration is used to meet a preset overall functional performance target. The gradient distribution of material properties is used to improve local service response characteristics while keeping the overall functional performance target within the allowable deviation range.

[0020] Furthermore, the metamaterial structure with target material property gradient distribution described in this invention can generate at least one of the following: manufacturing-related structural geometric data, material property field data, slice image data, or manufacturing control data, so as to be integrated with multi-material additive manufacturing processes or other adjustable material property manufacturing processes.

[0021] The third technical solution of the present invention is:

[0022] A system for realizing metamaterial structures with gradient distribution of material properties, the system includes a target setting module 101, a structure generation module 102, a material calibration and mapping module 103, a structure response analysis module 104, a material optimization distribution module 105, and an output and manufacturing module 106.

[0023] The module includes: a target setting module 101 for acquiring or inputting the overall functional performance targets, local service response characteristics, and design constraint information of the object to be designed; a structure generation module 102 for generating an initial metamaterial structure configuration based on the overall functional performance targets and design constraints; a material calibration and mapping module 103 for providing the correspondence data between material property control parameters and material performance parameters; a structural response analysis module 104 for performing response analysis on the initial metamaterial structure configuration and its material property distribution under one or more load conditions, boundary conditions, or external field conditions to obtain structural response results; a material optimization distribution module 105 for optimizing and adjusting the material property gradient distribution based on the structural response results; and an output and manufacturing module 106 for outputting the metamaterial structure with the target material property gradient distribution and its corresponding manufacturing data.

[0024] It should be noted that the calibration results in the material calibration and mapping module 103 can be pre-established before the design process begins through experimental calibration, simulation fitting, table lookup mapping, or calling an existing database, or existing corresponding data can be directly used. During the specific design iteration process, module 103 is mainly used to provide the correspondence between material property control parameters and material performance parameters to the structural response analysis module 104 and the material optimization distribution module 105, without having to repeat the calibration in each design.

[0025] Overall functional performance objectives may include one or more of the following: overall load-bearing capacity, target stiffness, directional response, energy absorption buffer, load transfer, thermal protection, acoustic control, or electrical control; local service response characteristics may include reducing local stress, reducing local strain, reducing energy concentration, reducing damage risk, or improving other local service responses; design constraints may include one or more of the following: geometric boundaries, material range, manufacturing resolution, process window, and service boundary conditions.

[0026] Compared with the prior art, the present invention has at least the following beneficial effects:

[0027] 1. This invention unifies structural configuration design and material property gradient distribution design into the same framework.

[0028] 2. This invention adopts a two-stage implementation method of first optimizing the structural configuration and then optimizing the gradient distribution of material properties. The overall performance target or its allowable deviation range achieved in the first stage is used as the constraint condition for the optimization in the second stage, thereby ensuring a clear hierarchical relationship and synergistic mechanism between structural configuration design and material property optimization.

[0029] 3. This invention can improve the local service response characteristics of a structure under service conditions, such as local stress, local strain, energy concentration, damage risk, or fatigue sensitivity, while keeping the overall functional performance target within the allowable deviation range, thereby improving the reliability, durability, and engineering applicability of the structure.

[0030] 4. In this invention, the gradient distribution of material properties can be characterized by the material property control parameter field and a mapping relationship can be established with the material performance parameters, which facilitates the conversion of design results into manufacturing control data, thereby improving the engineering implementation capability of the solution. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the overall framework of the metamaterial structure design system with gradient distribution of material properties according to the present invention; wherein, 101 is the target setting module, 102 is the structure generation module, 103 is the material calibration and mapping module, 104 is the structure response analysis module, 105 is the material optimization distribution module, and 106 is the output and manufacturing module.

[0032] Figure 2 This is a flowchart illustrating the method for realizing the metamaterial structure with gradient distribution of material properties according to the present invention.

[0033] Figure 3 This is a schematic diagram illustrating the specific implementation process of the structure configuration generation module in this invention.

[0034] Figure 4 This is an example schematic diagram of a metamaterial structure with gradient material property distribution according to the present invention. The upper part is a metamaterial structure with gradient material property distribution formed by a disordered lattice structure configuration, and the lower part is a metamaterial structure with gradient material property distribution formed by a gradient structure configuration.

[0035] Figure 5 This is a schematic diagram of the metamaterial structure design results based on the gradient distribution of material properties according to the present invention; wherein, Figure 5 (a) is a diagram comparing the overall target performance with the overall performance achieved. Figure 5 (b) is a schematic diagram comparing the material distribution before and after optimization.

[0036] Figure 6 The simulation results of the local response of the metamaterial structure with gradient distribution of material properties in this invention are optimized; wherein, the upper part is the local strain concentration distribution before optimization, and the lower part is the local strain concentration distribution after optimization. Detailed Implementation

[0037] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the following embodiments are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. Other embodiments obtained by those skilled in the art based on the technical content disclosed in this invention without inventive effort are all within the scope of protection of this invention.

[0038] The metamaterial structure with gradient material property distribution referred to in this invention refers to a functional structure that includes a metamaterial structural configuration and a gradient material property distribution distributed within the physical region of the structural configuration. The gradient material property distribution changes continuously or hierarchically along the spatial position and works together with the structural configuration to achieve a preset overall functional performance target and improve local service response characteristics.

[0039] like Figure 1 As shown.

[0040] A system for realizing metamaterial structures with gradient distribution of material properties, the system includes a target setting module 101, a structure generation module 102, a material calibration and mapping module 103, a structure response analysis module 104, a material optimization distribution module 105, and an output and manufacturing module 106.

[0041] The module includes: a target setting module 101 for acquiring or inputting the overall functional performance targets, local service response characteristics, and design constraint information of the object to be designed; a structure generation module 102 for generating an initial metamaterial structure configuration based on the overall functional performance targets and design constraints; a material calibration and mapping module 103 for providing the correspondence data between material property control parameters and material performance parameters; a structural response analysis module 104 for performing response analysis on the initial metamaterial structure configuration and its material property distribution under one or more load conditions, boundary conditions, or external field conditions to obtain structural response results; a material optimization distribution module 105 for optimizing and adjusting the material property gradient distribution based on the structural response results; and an output and manufacturing module 106 for outputting the metamaterial structure with the target material property gradient distribution and its corresponding manufacturing data.

[0042] It should be noted that the calibration results in the material calibration and mapping module 103 can be pre-established before the design process begins through experimental calibration, simulation fitting, table lookup mapping, or calling an existing database, or existing corresponding data can be directly used. During the specific design iteration process, module 103 is mainly used to provide the correspondence between material property control parameters and material performance parameters to the structural response analysis module 104 and the material optimization distribution module 105, without having to repeat the calibration in each design.

[0043] In this embodiment, the overall functional performance target may include one or more of the following: overall load-bearing capacity, target stiffness, directional response, energy absorption buffer, load transfer, thermal protection, acoustic control, or electrical control; local service response characteristics may include reducing local stress, reducing local strain, reducing energy concentration, reducing damage risk, or improving other local service responses; design constraints may include one or more of the following: geometric boundaries, material range, manufacturing resolution, process window, and service boundary conditions.

[0044] like Figure 2 As shown,

[0045] A method for realizing a metamaterial structure with gradient distribution of material properties includes the following steps:

[0046] S1, determine the overall functional performance objectives, local service response characteristics, and design domain of the structure to be designed.

[0047] In this step, the overall functional performance objectives that the structure needs to achieve are first determined based on the application scenario and performance requirements. Then, the local service response characteristics that require key adjustment or improvement are further identified. If necessary, auxiliary design information such as geometric boundaries, material usage range, manufacturing resolution, and service boundary conditions can also be provided simultaneously. The overall functional performance objectives are used to guide subsequent structural configuration optimization, and the local service response characteristics are used to guide subsequent material property gradient distribution optimization.

[0048] S2, under the assumption of homogeneous material properties, the structural configuration is designed within the design domain according to the overall functional performance target to obtain an initial metamaterial structural configuration that satisfies or approximates the overall functional performance target.

[0049] As a refinement of step S2, refer to Figure 3 As shown, the structural configuration generation process includes: inputting structural configuration design information oriented towards overall functional performance goals; performing structural configuration design; and generating an initial metamaterial structural configuration.

[0050] In this embodiment, the structural configuration is composed of one or more of periodic, gradient, or disordered lattice structural configurations. The structural configuration can be constructed using at least one of random field methods, statistical field methods, implicit field methods, parameterized generation methods, random topology generation methods, or other structural generation methods. Preferably, the generated structural configuration forms a spatial distribution of solid and porous regions within the design domain, serving as a carrier for the subsequent gradient distribution of material properties.

[0051] For ease of explanation, in a preferred embodiment, the design domain and target response direction are first determined based on the overall performance objective; then, an initial functional structure configuration is constructed using a structure generation algorithm; finally, an initial functional structure model that satisfies or approximates the functional objective is output. The initial functional structure model can be a periodic lattice structure configuration, a gradient lattice structure configuration, a disordered lattice structure configuration, or a combination of two or more of the above configurations.

[0052] S3, taking the overall functional performance target or its allowable deviation range as constraints and the local service response characteristics as optimization targets, optimize the material property gradient distribution within the initial metamaterial structure configuration to improve the local service response characteristics without sacrificing the overall functional performance target.

[0053] In this embodiment, step S3 is the key step of the present invention. Its core is that, under the premise that the initial metamaterial structure configuration has met or approached the overall functional performance target, the basic spatial distribution of the initial metamaterial structure configuration is no longer changed. Instead, the overall functional performance target or its allowable deviation range achieved in the previous step is used as a constraint to optimize only the material property gradient distribution within the initial metamaterial structure configuration in order to achieve the regulation and improvement of local service response characteristics.

[0054] Specifically, the material property gradient distribution is set within the solid region of the initial functional structural configuration. The material property gradient distribution can be characterized by a material property control parameter field, which can be image grayscale values, projected light intensity, voxel control values, proportioning parameters, or other process control parameters.

[0055] Let the material property control parameters be: The material performance parameters are: Then the following relationship can be satisfied between the two:

[0056]

[0057] in, Indicates material property control parameters, This indicates the corresponding material performance parameters. These material performance parameters can be at least one of the following: elastic modulus, stiffness, strength, damping, density, thermal conductivity, electrical properties, or acoustic properties.

[0058] In a preferred embodiment, the correspondence between material property control parameters and material performance parameters can be established through experimental calibration, simulation fitting, or table lookup mapping. Based on this correspondence, the material property control parameter field can be mapped to the material property gradient distribution within the structure, thereby forming the basis for characterizing material properties in metamaterial structures with material property gradient distribution.

[0059] In this embodiment, the integrated response field construction and response analysis module 104 is used to obtain structural response results based on one or more load conditions, boundary conditions, or external field conditions. The structural response results may include at least one of strain field, stress field, displacement field, energy density field, damage factor field, fatigue risk field, or multi-field fusion results.

[0060] When multiple load conditions exist, the response results under multiple conditions can be fused to obtain a comprehensive response result. Preferably, the comprehensive response result is a comprehensive response field, which can be expressed as:

[0061]

[0062] in, For position The overall response results at the location, For the first Location under various working conditions The response results at the location, This is the fusion function. The fusion function can employ any of the following methods: maximum value processing, weighted summation, equivalent transformation, or envelope processing.

[0063] In this embodiment, the material optimization distribution module 105 optimizes the material property gradient distribution based on the comprehensive response result. For regions with high local response, the corresponding material property control parameters or material performance parameters are increased; for regions with low local response, the original distribution is maintained or the compensation amount is reduced. The update of the material property control parameters can be expressed as:

[0064]

[0065] in, For the first Position at the next iteration Material property control parameters at the location, For update functions.

[0066] By using the above methods, the gradient distribution of material properties inside the structure can be adjusted while maintaining the basic requirements of the preset functions, thereby improving the local response of the structure under service conditions.

[0067] S4, the optimized material property gradient distribution is applied to the initial metamaterial structure configuration to obtain a metamaterial structure with the target material property gradient distribution. In this step, the optimized material property gradient distribution is applied to the initial metamaterial structure configuration to form the final metamaterial structure with the target material property gradient distribution.

[0068] Furthermore, the output and manufacturing module 106 can output at least one of the following: structural geometric data, material property field data, slice image data, or manufacturing control data corresponding to the metamaterial structure with the gradient distribution of the target material properties, so as to subsequently prepare it using a multi-material additive manufacturing process or an adjustable material property manufacturing process.

[0069] like Figure 4 As shown, the present invention can obtain examples of metamaterial structures with different forms of material property gradient distribution. Figure 4 The upper part shows a metamaterial structure with a material property gradient distribution based on a disordered lattice structure configuration, while the lower part shows a metamaterial structure with a material property gradient distribution based on a gradient structure configuration. All of the above-mentioned metamaterial structures with different forms of material property gradient distribution include a structural configuration and a material property gradient distribution distributed within the solid region of the structural configuration. The material property gradient distribution varies continuously or hierarchically along its spatial position and works in conjunction with the structural configuration to achieve a predetermined function. This demonstrates that the present invention is not limited to a specific structural configuration or a specific material property gradient distribution, but is applicable to the design of metamaterial structures with different types of material property gradient distributions.

[0070] like Figure 5 As shown, in one embodiment, Figure 5 (a) The comparison results of the target stiffness and the achieved stiffness are given, indicating that the structural configuration obtained through step S2 can meet or approximate the preset overall functional target. Figure 5 (b) The comparison results of material distribution before and after optimization are given, showing that under the premise of keeping the overall functional objectives basically unchanged, the gradient distribution of material properties has been spatially adjusted according to the structural response results, thereby achieving the improvement of local functional objectives.

[0071] The material property distribution before optimization can be a uniform distribution, an initial gradient distribution, or a preset distribution; the optimized material property distribution is a gradient distribution adjusted based on the structural response results. Figure 5It can be seen that, through the implementation method described in this invention, the gradient distribution of material properties can be further optimized while maintaining the preset function of the structural configuration, thereby obtaining a metamaterial structure with a gradient distribution of material properties that takes into account both the realization of overall function and the improvement of local response.

[0072] like Figure 6 As shown, in one embodiment, Figure 6 A comparison of simulation results for local strain concentration distribution is presented. Optimization was performed in all three directions (X, Y, and Z). The comparison results show that the local strain concentration in all three directions is reduced, and the local service response characteristics of the surface are improved.

[0073] For the material calibration and mapping module 103, the corresponding calibration relationship can be established in advance or existing data resources can be called. Neither of these will affect the core technical idea of ​​the present invention: "first optimize the structural configuration, and then optimize the gradient distribution of material properties under the constraints of the overall functional objectives".

[0074] It should be noted that, without contradiction, the technical features in the above embodiments can be combined arbitrarily. Furthermore, the execution order of the steps is merely illustrative; without affecting the technical effect of the present invention, the order of the relevant steps can be adjusted, they can be executed in parallel, or some can be omitted.

[0075] The parts not covered in this invention are the same as or can be implemented using existing technologies.

Claims

1. A method for realizing a metamaterial structure with gradient distribution of material properties, characterized in that, Includes the following steps: S1, determine the overall functional performance objectives and local service response characteristics of the structure to be designed; S2, assuming homogeneous material properties, optimize the structural configuration within the design domain according to the overall functional performance target to obtain an initial metamaterial structural configuration that satisfies or approximates the overall functional performance target; S3, taking the overall functional performance target or its allowable deviation range as constraints and the local service response characteristics as optimization targets, optimize the material property gradient distribution within the initial metamaterial structure configuration to improve the local service response characteristics without sacrificing the overall functional performance target. S4. The optimized material property gradient distribution is applied to the initial metamaterial structure configuration to obtain a metamaterial structure with the target material property gradient distribution.

2. The method according to claim 1, characterized in that, Step S3 includes: Based on one or more operating conditions, boundary conditions, or external field conditions, a response analysis is performed on the initial metamaterial structure configuration and its material property distribution to obtain structural response results; the material property gradient distribution is iteratively optimized based on the structural response results to keep the overall functional performance target within the allowable deviation range.

3. The method according to claim 1 or 2, characterized in that, The gradient distribution of material properties is controlled by material property control parameters, which are one or more of image grayscale value, projected light intensity, voxel control value, and ratio parameter, and there is a preset mapping relationship between the material property control parameters and the material performance parameters.

4. The method according to claim 1, characterized in that, The metamaterial structural configuration and the material property gradient distribution distributed within the solid region of the structural configuration, wherein the structural configuration is one or more of periodic, gradient, or disordered lattice structural configurations, and the material property gradient distribution varies continuously or hierarchically along the spatial position, and corresponds to the distribution of at least one parameter among elastic modulus, stiffness, strength, damping, density, thermal conductivity, electrical properties, or acoustic properties; wherein the structural configuration is used to meet a preset overall functional performance target, and the material property gradient distribution is used to improve local service response characteristics while keeping the overall functional performance target within the allowable deviation range.

5. A metamaterial structure with a gradient distribution of material properties, comprising a metamaterial structural configuration and a gradient distribution of material properties distributed within a solid region of the structural configuration, wherein, The structural configuration is one or more of periodic, gradient, or disordered lattice structural configurations. The material property gradient distribution changes continuously or hierarchically along the spatial position. The structural configuration is used to meet a preset overall functional performance target. The material property gradient distribution is used to improve local service response characteristics while keeping the overall functional performance target within the allowable deviation range.

6. The metamaterial structure with gradient material property distribution according to claim 5, characterized in that, It can generate at least one of the following: manufacturing-related structural geometry data, material property field data, slice image data, or manufacturing control data, so as to be integrated with multi-material additive manufacturing processes or other adjustable material property manufacturing processes.

7. A system for realizing metamaterial structures with gradient distribution of material properties, characterized by: The system includes a target setting module 101, a structure generation module 102, a material calibration and mapping module 103, a structural response analysis module 104, a material optimization distribution module 105, and an output and manufacturing module 106. The target setting module 101 is used to acquire or input the overall functional performance targets, local service response characteristics, and design constraint information of the object to be designed. The structure generation module 102 is used to generate an initial metamaterial structure configuration based on the overall functional performance targets and design constraints. The material calibration and mapping module 103 is used to provide the correspondence data between material property control parameters and material performance parameters. The structural response analysis module 104 is used to perform response analysis on the initial metamaterial structure configuration and its material property distribution under one or more load conditions, boundary conditions, or external field conditions to obtain structural response results. The material optimization distribution module 105 is used to optimize and adjust the material property gradient distribution based on the structural response results. The output and manufacturing module 106 is used to output the metamaterial structure with the target material property gradient distribution and its corresponding manufacturing data.

8. The system according to claim 7, characterized in that: The calibration results in the material calibration and mapping module 103 are pre-established before the design process begins through experimental calibration, simulation fitting, table lookup mapping, or calling an existing database, or by directly using existing corresponding data. During the iteration process, the material calibration and mapping module 103 is used to provide the correspondence between material property control parameters and material performance parameters to the structural response analysis module 104 and the material optimization distribution module 105, so that calibration is not repeated in each design.

9. The system according to claim 7, characterized in that: Overall functional performance objectives include one or more of the following: overall load-bearing capacity, target stiffness, directional response, energy absorption buffer, load transfer, thermal protection, acoustic control, or electrical control; local service response characteristics include reducing local stress, reducing local strain, reducing energy concentration, reducing damage risk, or improving other local service responses; design constraints include one or more of the following: geometric boundaries, material range, manufacturing resolution, process window, and service boundary conditions.

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