Structural function integrated product optimization method and system based on additive manufacturing

Abstract

The invention provides a structure and function integrated product optimization method and system based on additive manufacturing, and the method comprises a multi-component integration step: carrying out different integration, integrating a plurality of target components into an integrated structure, including integration based on a reduction process and integration based on materials; a structure and function integration step: carrying out function partition division on the integrated structure to obtain different region models; the areas comprise a light bearing structure area, a magnetic conduction / magnetic shielding composite function area and a heat insulation function area; and a structural optimization step based on additive manufacturing: coupling the obtained models, and completing the optimization process based on the technological characteristics of additive manufacturing. Compared with a structure design method under an existing traditional manufacturing process, the design freedom degree of the structure is liberated, the bearing, light weight, heat insulation and magnetic conduction / magnetic shielding limits of the multifunctional structure are excavated through a heterogeneous material transition and cross-scale structure fusion method, and high practicability is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of additive manufacturing, and in particular to a method and system for optimizing a structural and functional integrated product based on additive manufacturing. Background Art

[0002] In view of the development trend of "material diversification, configuration diversification, and structural function integration" of the new generation of aerospace high-performance metal products, it is urgent to overcome the balanced manufacturing of high-performance products under multiple conflicting constraints such as extreme working temperature, large-span load, magnetic conductivity / magnetic shielding, and lightweight structure.

[0003] Additive manufacturing technology is based on the principle of discrete-accumulation, and is driven by 3D data to rapidly build up layers of parts to achieve the manufacturing of physical parts. This technology provides an enabling technology that breaks through the traditional industrial system, and releases the innovative design potential of product structures through heterogeneous material transition / cross-scale structural integration / liberation of design freedom / etc.

[0004] In a Chinese patent document with publication number CN105912803A, a product lightweight design method based on additive manufacturing is disclosed, and the steps are: 1. Establish a parameterized porous structure database, and establish the corresponding relationship between various parameterized structures and mechanical properties; 2. Perform finite element analysis on the original product model structure; 3. Adjust the parameterized unit structure to meet the different requirements for mechanical properties of different grid areas in the product; 4. Use lightweight unit structures to fill and replace areas with excess performance in the product; 5. Use finite element analysis to verify the mechanical properties of the lightweight product structure.

[0005] At present, the coupling design of structures with various functions has not been fully studied, especially in the design methods of multifunctional composite structures such as thermal insulation / load-bearing / magnetic conductivity / magnetic shielding; in addition, the current product design based on additive manufacturing technology tends to maximize the advantages of additive manufacturing to carry out innovative design, but the structural constraints under the constraints of additive manufacturing technology are not considered in the front-end design stage. Summary of the invention

[0006] In view of the defects in the prior art, the purpose of the present invention is to provide a structural and functional integrated product optimization method and system based on additive manufacturing.

[0007] A structural and functional integrated product optimization method based on additive manufacturing provided by the present invention comprises:

[0008] Multi-component integration step: Carry out different integrations to integrate multiple target components into an integrated structure, including integration based on process reduction and integration based on materials;

[0009] Structural and functional integration steps: Modeling of different areas obtained by functionally dividing the integrated structure;

[0010] The area includes a lightweight load-bearing structure area, a magnetic conductive / magnetic shielding composite functional area and a thermal insulation functional area;

[0011] Structural optimization steps based on additive manufacturing: Couple the obtained models and complete the optimization process based on the process characteristics of additive manufacturing.

[0012] Preferably, the multi-component integration step comprises:

[0013] Carry out integration based on process reduction to achieve multi-component consolidation by avoiding the number of assemblies, welds and coatings;

[0014] Carry out material-based integration, solve the crystal structure under different element combinations and ratios through thermodynamic software, and predict the stability of the interface structure of heterogeneous materials based on first principles. Through the development of multiple raw material components and feedback control of simulation results, realize the fusion and gradient transition of heterogeneous material interfaces and complete the integration of multiple components.

[0015] Preferably, the division of the lightweight load-bearing structure area includes determining the geometric model, load, boundary conditions and structural quality requirements of the target product, and carrying out comprehensive optimization of various types of design variables, wherein the various types include size type, shape type and topology type; determining the optimization model of the structural size and shape design with the help of the idea of ​​experimental design and constructing an approximate proxy model, introducing a penalty factor to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density, and coupling the optimization problem and the optimization target to solve the optimization problem through multi-level optimization means.

[0016] Preferably, the division of the magnetic conductive / magnetic shielding composite functional area includes determining the spatial size constraints and magnetic conductive / magnetic shielding functional characteristics of the target product, simulating the product magnetic field strength with the help of Ansoft Maxwell finite element software, and building a design independent variable-magnetomotive force relationship model including magnetic conductive ring parameters and magnetic isolation ring parameters to achieve the selection of magnetic conductive rings / magnetic isolation rings under the target magnetic conductive / magnetic shielding service requirements; the magnetic conductive ring parameters and magnetic isolation ring parameters include inner diameter parameters, outer diameter parameters and length parameters.

[0017] Preferably, the division of the thermal insulation functional area includes determining the thermal insulation target threshold, spatial size constraints and thermal properties of the composite material of the target product, simulating the multi-element topological configuration with the help of finite element software, and the finite element software includes MSC.Marc and Abaqus; using the first-class Dirichlet heat transfer boundary condition, extracting the heat transfer characteristics and thermal stress relaxation performance in the multi-element functional structure, and finally using a cyclic iteration method to solve the variables involved in the heat transfer optimization problem:

[0018] Δ=max i＝1,2,...N (|t n+1 -t n )|≤ε;

[0019] Among them, t n+1 is the optimization result of n+1 iterations, t n is the optimization result of the nth iteration, and ε is the convergence criterion judgment value.

[0020] Preferably, the structural function integration step includes calculating the ratio of the basic materials of the heterogeneous topological structure based on the Tamura composite material mathematical model, calculating the density, Poisson's ratio and specific heat capacity of the heterogeneous basic material based on the classical law of mixing, obtaining the linear expansion coefficient of the material in the multi-structure unit based on the Double Plate model coupling the above calculation results, and obtaining the thermal conductivity of the coupled material of the multi-structure unit based on the Markworth model to obtain the parameters for predicting the heat transfer characteristics of the structure.

[0021] Preferably, the structure optimization step based on additive manufacturing includes:

[0022] The manufacturing limit values ​​of the selected additive equipment are tested and quantified as input to optimize the structural configuration; the manufacturing limit values ​​include minimum wall thickness, overhang features and sharp corner features; the additive manufacturing process of the optimized product is simulated using finite element software, the stress and strain concentration areas under additive heat input are simulated and solved, and then optimized; the product molding path is planned using path simulation software to verify the accessibility of the additive manufacturing equipment.

[0023] According to the present invention, a structural function integrated product optimization system based on additive manufacturing is provided, comprising:

[0024] Multi-component integration module: Carry out different integrations to integrate multiple target components into an integrated structure, including integration based on process reduction and integration based on materials;

[0025] Structural and functional integration module: Modeling of different areas obtained by functionally dividing the integrated structure;

[0026] The area includes a lightweight load-bearing structure area, a magnetic conductive / magnetic shielding composite functional area and a thermal insulation functional area;

[0027] Structural optimization module based on additive manufacturing: The obtained models are coupled to complete the optimization process based on the process characteristics of additive manufacturing.

[0028] Preferably, the multi-component integrated module comprises:

[0029] Carry out integration based on process reduction to achieve multi-component consolidation by avoiding the number of assemblies, welds and coatings;

[0030] Carry out material-based integration, solve the crystal structure under different element combinations and ratios through thermodynamic software, and predict the stability of the interface structure of heterogeneous materials based on first principles. Through the development of multiple raw material components and feedback control of simulation results, realize the fusion and gradient transition of heterogeneous material interfaces and complete the integration of multiple components.

[0031] Preferably, the division of the lightweight load-bearing structure area includes determining the geometric model, load, boundary conditions and structural quality requirements of the target product, and carrying out comprehensive optimization of various types of design variables, wherein the various types include size type, shape type and topology type; determining the optimization model of the structural size and shape design with the help of the idea of ​​experimental design and constructing an approximate proxy model, introducing a penalty factor to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density, and coupling the optimization problem and the optimization target to solve the optimization problem through multi-level optimization means.

[0032] Preferably, the division of the magnetic conductive / magnetic shielding composite functional area includes determining the spatial size constraints and magnetic conductive / magnetic shielding functional characteristics of the target product, simulating the product magnetic field strength with the help of Ansoft Maxwell finite element software, and building a design independent variable-magnetomotive force relationship model including magnetic conductive ring parameters and magnetic isolation ring parameters to achieve the selection of magnetic conductive rings / magnetic isolation rings under the target magnetic conductive / magnetic shielding service requirements; the magnetic conductive ring parameters and magnetic isolation ring parameters include inner diameter parameters, outer diameter parameters and length parameters.

[0033] Preferably, the division of the thermal insulation functional area includes determining the thermal insulation target threshold, spatial size constraints and thermal properties of the composite material of the target product, simulating the multi-element topological configuration with the help of finite element software, and the finite element software includes MSC.Marc and Abaqus; using the first-class Dirichlet heat transfer boundary condition, extracting the heat transfer characteristics and thermal stress relaxation performance in the multi-element functional structure, and finally using a cyclic iteration method to solve the variables involved in the heat transfer optimization problem:

[0034] Δ=max i＝1,2,...N (|t n+1 -t n )|≤ε;

[0035] Among them, t n+1 is the optimization result of n+1 iterations, t n is the optimization result of the nth iteration, and ε is the convergence criterion judgment value.

[0036] Preferably, the structural function integration module includes calculating the ratio of basic materials of heterogeneous topological structures based on the Tamura composite material mathematical model, calculating the density, Poisson's ratio and specific heat capacity of heterogeneous basic materials based on the classical law of mixing, obtaining the linear expansion coefficient of materials in the multi-structure unit based on the Double Plate model coupling the above calculation results, and obtaining the thermal conductivity of the coupled materials of the multi-structure unit based on the Markworth model to obtain parameters for predicting the heat transfer characteristics of the structure.

[0037] Preferably, the structure optimization module based on additive manufacturing includes:

[0038] The manufacturing limit values ​​of the selected additive equipment are tested and quantified as input to optimize the structural configuration; the manufacturing limit values ​​include minimum wall thickness, overhang features and sharp corner features; the additive manufacturing process of the optimized product is simulated using finite element software, the stress and strain concentration areas under additive heat input are simulated and solved, and then optimized; the product molding path is planned using path simulation software to verify the accessibility of the additive manufacturing equipment.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. The present invention introduces the one-piece additive manufacturing technology in the manufacturing of heterogeneous functional structures such as load-bearing-thermal insulation-magnetic conductivity-magnetic shielding, etc., which solves the problems of complicated manufacturing procedures, low lightweight degree, and low structural function utilization rate per unit space of multifunctional products under the current traditional manufacturing process, and expands the application prospects of additive manufacturing in functional structures.

[0041] 2. Compared with the structural design method under the existing traditional manufacturing process, the present invention liberates the design freedom of the structure, and explores the limits of multifunctional structural bearing, lightweight, thermal insulation, magnetic conductivity / magnetic shielding through the method of heterogeneous material transition and cross-scale structural fusion, and has high practicality.

[0042] Other beneficial effects of the present invention will be explained in the specific implementation manner through the introduction of specific technical features and technical solutions. Through the introduction of these technical features and technical solutions, those skilled in the art should be able to understand the beneficial technical effects brought about by the technical features and technical solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0044] Figure 1 The figure is a flow chart of the method of the present invention.

[0045] Figure 2 A schematic diagram of the process of designing and optimizing the magnetic sleeve assembly of the present invention.

[0046] Figure 3 Schematic diagram of the design optimization process of the load-bearing insulation panel of the present invention. DETAILED DESCRIPTION

[0047] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0048] Example 1

[0049] Reference Figure 1 As shown, Embodiment 1 of the present invention provides a method for optimizing a structural and functional integrated product based on additive manufacturing, comprising the following steps:

[0050] Multi-component integration steps: multiple parts or components are integrated into one. Carry out integrated design based on process reduction, and realize multi-component merging by avoiding the number of assembly parts / welds / platings; carry out integrated design based on materials, use thermodynamic software to calculate the thermophysical parameters of multi-component heterogeneous materials, solve the crystal structure under different element combinations and ratios, and predict the stability of heterogeneous material interface structure based on first principles, realize heterogeneous material interface fusion / gradient transition through raw material composition development, and complete multi-component integrated design.

[0051] Steps for structural function integration: Taking the most basic load-bearing function as the core, integrate other functions at the same time. Divide the integrated structure into functional areas, carry out structural and functional design of lightweight load-bearing structure area, magnetic permeability / magnetic shielding functional area, and thermal insulation functional area respectively, and finally conduct multifunctional structural coupling.

[0052] Specifically, the lightweight load-bearing structure area design: determines the geometric model, load, boundary conditions and structural quality requirements of the target product, conducts comprehensive optimization of various types of design variables including size, shape, and topology, determines the optimization model for structural size and shape design with the help of experimental design and the idea of ​​constructing an approximate proxy model, introduces a penalty factor to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density, and couples the optimization problem and the optimization goal through multi-level optimization means.

[0053] Specifically, the design of the magnetic conductive / magnetic shielding composite functional area: determine the spatial size constraints and magnetic conductive / magnetic shielding functional characteristics of the target product, simulate the product magnetic field strength with the help of Ansoft Maxwell finite element software, and build a design independent variable-magnetomotive force relationship model including the inner diameter / outer diameter / length of the magnetic conductive ring and the inner diameter / outer diameter / length of the magnetic isolation ring to achieve the selection and design of the magnetic conductive / magnetic isolation ring under the target magnetic conductive / magnetic shielding service requirements.

[0054] Specifically, the thermal insulation functional area design: determine the thermal insulation target threshold, spatial size constraints, and thermal properties of the composite structure of the target product, simulate the multi-topological configuration with the help of finite element software such as MSC.Marc and Abaqus, and use the first-class Dirichlet heat transfer boundary conditions to extract the heat transfer characteristics and thermal stress relief performance in the multi-functional structure. Finally, the cyclic iteration method is used to solve the variables involved in the heat transfer optimization problem:

[0055] Δ=max i＝1,2,...N (|t n+1 -t n )|≤ε;

[0056] Among them, t n+1 is the optimization result of n+1 iterations, t n is the optimization result of the nth iteration, and ε is the convergence criterion judgment value.

[0057] Specifically, the thermal physical properties of the heterogeneous structure material are as follows: based on the mathematical model of Tamura composite materials, the ratio of the basic materials of the heterogeneous topological structure is calculated; based on the classical law of mixing, the density, Poisson's ratio and specific heat capacity of the heterogeneous basic material are calculated; based on the Double Plate model, the linear expansion coefficient of the material in the multi-structure unit is obtained by coupling the above calculation results; based on the Markworth model, the thermal conductivity of the coupled material of the multi-structure unit is calculated, so as to obtain all the parameters required for the prediction of the heat transfer characteristics of the heterogeneous structure.

[0058] Structural optimization steps based on additive manufacturing: Take advantage of the advantages of additive integrated molding while following additive manufacturing constraints. First, test and verify the minimum wall thickness, overhang features, sharp corner features and other manufacturing limits of the selected additive equipment, and quantify them into minimum thickness unit, overhang penalty factor, sharp corner penalty factor, etc. as design input to optimize the structural configuration; use finite element software such as MSC.Marc and Abaqus to simulate the additive manufacturing process of the optimized product, simulate and solve the stress and strain concentration area under additive heat input, and re-optimize the design; use UG, Robotmaster and other path simulation software to plan the product molding path and verify the accessibility of additive manufacturing equipment.

[0059] Example 2

[0060] Reference Figure 2 As shown, this embodiment 2 discloses a magnetic sleeve assembly integrated design method for additive manufacturing, comprising the following steps:

[0061] The steps of integrating the multifunctional magnetic sleeve assembly are as follows: the magnetic ring, magnetic isolation ring and anti-corrosion coating involved in the magnetic sleeve assembly are integrated into a design; the composition optimization and design based on 1J22 magnetic material / 1Cr18Ni9Ti non-magnetic material / corrosion-resistant coating material are carried out, the thermo-calc software is used to calculate the thermal physical parameters of the heterogeneous material / interface material of the magnetic sleeve assembly, and the Materials Studio software is used to solve the crystal structure under different element combinations and proportions, and the stability of the interface structure of heterogeneous materials is predicted based on the first principles, and the interface fusion / gradient transition of heterogeneous materials is achieved through the development of raw material components to complete the integrated design of multiple components.

[0062] Steps for structural function integration: determine the geometric model, load, boundary conditions and structural quality requirements of the magnetic sleeve assembly, carry out comprehensive optimization of various types of design variables including size, shape and topology, determine the optimization model for structural size and shape design with the help of experimental design and the idea of ​​constructing an approximate proxy model, introduce a penalty factor to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density, and use multi-level optimization methods to couple the optimization problem and the optimization target; determine the spatial size constraints and magnetic conductivity / magnetic shielding functional characteristics of the target product, simulate the product magnetic field strength with the help of Ansoft Maxwell finite element software, and build a design independent variable-magnetomotive force relationship model including the inner diameter / outer diameter / length of the magnetic conductive ring and the inner diameter / outer diameter / length of the magnetic isolation ring to achieve the selection and design of the magnetic conductive ring / magnetic isolation ring under the target magnetic conductive / magnetic shielding service requirements.

[0063] Structural optimization steps based on additive manufacturing: Take advantage of the advantages of additive integrated molding while complying with additive manufacturing constraints. First, the minimum wall thickness and other manufacturing limit values ​​of the selected LMD additive equipment are verified through experiments, and quantified into minimum thickness units as design inputs to optimize the structural configuration; finite element software such as MSC.Marc and Abaqus are used to simulate the additive manufacturing process of the optimized product, simulate and solve the stress and strain concentration area under additive heat input, and re-optimize the design; UG, Robotmaster and other path simulation software are used to plan the product molding path and verify the accessibility of additive manufacturing equipment.

[0064] Example 3

[0065] Reference Figure 3 As shown, this embodiment 3 discloses an integrated design method for a load-bearing / insulating panel for additive manufacturing, comprising the following steps:

[0066] Steps for integrating multiple components of load-bearing / heat-insulating panels: Integrate the design of the upper panel, load-bearing structure, insulation structure, and lower panel involved in the load-bearing / heat-insulating panels; carry out component optimization and redesign based on AlSi10Mg / 18Ni300 dual materials, solve the crystal structure under different element combinations and ratios, and predict the stability of the interface structure of heterogeneous materials based on the first principles. Through the development of raw material components, the fusion / gradient transition of the interface of heterogeneous materials is realized, and the integrated design of the load-bearing / heat-insulating panels is completed from both material and structure aspects.

[0067] Steps for structural function integration: determine the geometric model, load, boundary conditions and structural quality requirements of the load-bearing / insulating panel, carry out topology optimization design, size optimization design and shape optimization design in sequence, and obtain the comprehensive design optimization of the load-bearing / insulating panel. Determine the optimization model of the structural size and shape design with the help of experimental design and the idea of ​​constructing an approximate surrogate model. Introduce a penalty factor to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density, and use multi-level optimization methods to couple the optimization problem and the optimization target. Calculate the ratio of the basic materials of the heterogeneous topological structure based on the Tamura composite material mathematical model. Calculate the density, Poisson's ratio and specific heat capacity of the heterogeneous basic materials based on the classical law of mixtures. Combine the above calculation results based on the Double Plate model to obtain the linear expansion coefficient of the material in the multi-structure unit. Calculate the thermal conductivity of the coupled material of the multi-structure unit based on the Markworth model, so as to obtain all the parameters required for the prediction of the heat transfer characteristics of the heterogeneous structure. Determine the insulation target threshold, spatial size constraints, and thermal properties of the composite structure of the target product, simulate the multi-topological configuration with the help of finite element software such as MSC.Marc and Abaqus, use the first-class Dirichlet heat transfer boundary conditions to extract the heat transfer characteristics and thermal stress relief performance in the multi-functional structure, and finally use the cyclic iteration method to solve the variables involved in the heat transfer optimization problem:

[0068] Δ=max i＝1,2,...N (|t n+1 -t n )|≤ε;

[0069] Among them, t n+1 is the optimization result of n+1 iterations, t n is the optimization result of the nth iteration, and ε is the convergence criterion judgment value.

[0070] Structural optimization steps based on additive manufacturing: Take advantage of the advantages of additive integrated molding while following additive manufacturing constraints. First, test and verify the minimum wall thickness, overhang features, sharp corner features and other manufacturing limits of the selected SLM additive equipment, and quantify them into minimum thickness unit, overhang penalty factor, sharp corner penalty factor, etc. as design input to optimize the structural configuration; use finite element software such as MSC.Marc and Abaqus to simulate the additive manufacturing process of the optimized product, simulate and solve the stress and strain concentration area under additive heat input, and re-optimize the design.

[0071] The present invention introduces an integrated additive manufacturing technology in the manufacture of heterogeneous functional structures such as load-bearing-thermal insulation-magnetic conductivity-magnetic shielding, which solves the problems of complicated manufacturing procedures, low lightweight degree, and low structural function utilization rate per unit space of multifunctional products under the current traditional manufacturing process, and expands the application prospects of additive manufacturing in functional structures. Compared with the structural design methods under the existing traditional manufacturing processes, it liberates the design freedom of the structure, and explores the load-bearing, lightweight, thermal insulation, and magnetic conductivity / magnetic shielding limits of the multifunctional structure through the methods of heterogeneous material transition and cross-scale structural fusion, and has high practicality.

[0072] The present invention also provides a structural and functional integrated product optimization system based on additive manufacturing. The structural and functional integrated product optimization system based on additive manufacturing can be realized by executing the process steps of the structural and functional integrated product optimization method based on additive manufacturing, that is, those skilled in the art can understand the structural and functional integrated product optimization method based on additive manufacturing as a preferred implementation of the structural and functional integrated product optimization system based on additive manufacturing.

[0073] Specifically, a structural and functional integrated product optimization system based on additive manufacturing includes:

[0074] Multi-component integration module: Carry out different integrations to integrate multiple target components into an integrated structure, including integration based on process reduction and integration based on materials;

[0075] Structural and functional integration module: Modeling of different areas obtained by functionally dividing the integrated structure;

[0076] The area includes a lightweight load-bearing structure area, a magnetic conductive / magnetic shielding composite functional area and a thermal insulation functional area;

[0077] Structural optimization module based on additive manufacturing: The obtained models are coupled to complete the optimization process based on the process characteristics of additive manufacturing.

[0078] The multi-component integrated module comprises:

[0079] Carry out integration based on process reduction to achieve multi-component consolidation by avoiding the number of assemblies, welds and coatings;

[0080] Carry out material-based integration, solve the crystal structure under different element combinations and ratios through thermodynamic software, and predict the stability of the interface structure of heterogeneous materials based on first principles. Through the development of multiple raw material components and feedback control of simulation results, realize the fusion and gradient transition of heterogeneous material interfaces and complete the integration of multiple components.

[0081] The division of the lightweight load-bearing structure area includes determining the geometric model, load, boundary conditions and structural quality requirements of the target product, and carrying out comprehensive optimization of various types of design variables, including size type, shape type and topology type; using the idea of ​​experimental design and constructing an approximate proxy model to determine the optimization model for structural size and shape design, introducing a penalty factor to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density, and using multi-level optimization methods to couple the optimization problem and the optimization target.

[0082] The division of the magnetic conductive / magnetic shielding composite functional area includes determining the spatial size constraints and magnetic conductive / magnetic shielding functional characteristics of the target product, simulating the product magnetic field strength with the help of Ansoft Maxwell finite element software, and building a design independent variable-magnetomotive force relationship model including magnetic conductive ring parameters and magnetic isolation ring parameters to achieve the selection of magnetic conductive rings / magnetic isolation rings under the target magnetic conductive / magnetic shielding service requirements; the magnetic conductive ring parameters and magnetic isolation ring parameters include inner diameter parameters, outer diameter parameters and length parameters.

[0083] The division of the thermal insulation functional area includes determining the thermal insulation target threshold, spatial size constraints and thermal properties of the composite material of the target product, simulating the multi-element topological configuration with the help of finite element software, and the finite element software includes MSC.Marc and Abaqus; using the first-class Dirichlet heat transfer boundary conditions, extracting the heat transfer characteristics and thermal stress relaxation performance in the multi-element functional structure, and finally using the cyclic iteration method to solve the variables involved in the heat transfer optimization problem:

[0084] Δ=max i＝1,2,...N (|t n+1 -t n )|≤ε;

[0085] Among them, t n+1 is the optimization result of n+1 iterations, t n is the optimization result of the nth iteration, and ε is the convergence criterion judgment value.

[0086] The structural function integration module includes calculating the ratio of basic materials of heterogeneous topological structures based on the Tamura composite material mathematical model, calculating the density, Poisson's ratio and specific heat capacity of heterogeneous basic materials based on the classical law of mixing, coupling the above calculation results based on the Double Plate model to obtain the linear expansion coefficient of materials in the multi-structure unit, and calculating the thermal conductivity of the coupled materials of the multi-structure unit based on the Markworth model to obtain parameters for predicting the heat transfer characteristics of the structure.

[0087] The structure optimization module based on additive manufacturing includes:

[0088] The manufacturing limit values ​​of the selected additive equipment are tested and quantified as input to optimize the structural configuration; the manufacturing limit values ​​include minimum wall thickness, overhang features and sharp corner features; the additive manufacturing process of the optimized product is simulated using finite element software, the stress and strain concentration areas under additive heat input are simulated and solved, and then optimized; the product molding path is planned using path simulation software to verify the accessibility of the additive manufacturing equipment.

[0089] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0090] In the description of the present application, it should be understood that the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0091] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A structural and functional integrated product optimization method based on additive manufacturing, characterized in that: include: Multi-component integration step: Carry out different integrations to integrate multiple target components into an integrated structure, including integration based on process reduction and integration based on materials; Structural and functional integration steps: Modeling of different areas obtained by functionally dividing the integrated structure; The area includes a lightweight load-bearing structure area, a magnetic conductive / magnetic shielding composite functional area and a thermal insulation functional area; Structural optimization steps based on additive manufacturing: Couple the obtained models and complete the optimization process based on the process characteristics of additive manufacturing.

2. The structural and functional integrated product optimization method based on additive manufacturing according to claim 1 is characterized in that: The multi-component integration step includes: Carry out integration based on process reduction to achieve multi-component consolidation by avoiding the number of assemblies, welds and coatings; Carry out material-based integration, solve the crystal structure under different element combinations and ratios through thermodynamic software, and predict the stability of the interface structure of heterogeneous materials based on first principles. Through the development of multiple raw material components and feedback control of simulation results, realize the fusion and gradient transition of heterogeneous material interfaces and complete the integration of multiple components.

3. The structural and functional integrated product optimization method based on additive manufacturing according to claim 1 is characterized in that: The division of the lightweight load-bearing structure area includes determining the geometric model, load, boundary conditions and structural quality requirements of the target product, and carrying out comprehensive optimization of multiple types of design variables, wherein the multiple types include size type, shape type and topology type; The optimization model of structural size and shape design is determined by means of experimental design and the idea of ​​constructing an approximate surrogate model. A penalty factor is introduced to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density. The optimization problem and the optimization objective are coupled and solved through multi-level optimization methods.

4. The structural and functional integrated product optimization method based on additive manufacturing according to claim 3 is characterized in that: The division of the magnetic conductive / magnetic shielding composite functional area includes determining the spatial size constraints and magnetic conductive / magnetic shielding functional characteristics of the target product, simulating the product magnetic field strength with the help of Ansoft Maxwell finite element software, and building a design independent variable-magnetomotive force relationship model including magnetic conductive ring parameters and magnetic isolation ring parameters to achieve the selection of magnetic conductive rings / magnetic isolation rings under the target magnetic conductive / magnetic shielding service requirements; the magnetic conductive ring parameters and magnetic isolation ring parameters include inner diameter parameters, outer diameter parameters and length parameters.

5. The structural and functional integrated product optimization method based on additive manufacturing according to claim 4 is characterized in that: The division of the thermal insulation functional area includes determining the thermal insulation target threshold, spatial size constraints and thermal properties of the composite material of the target product, simulating the multi-element topological configuration with the help of finite element software, and the finite element software includes MSC.Marc and Abaqus; using the first-class Dirichlet heat transfer boundary conditions, extracting the heat transfer characteristics and thermal stress relaxation performance in the multi-element functional structure, and finally using the cyclic iteration method to solve the variables involved in the heat transfer optimization problem: Δ=max i＝1,2,...N (|t n+1 -t n )|≤ε; Among them, t n+1 is the optimization result of n+1 iterations, t n is the optimization result of the nth iteration, and ε is the convergence criterion judgment value.

6. The structural and functional integrated product optimization method based on additive manufacturing according to claim 1 is characterized in that: The structural function integration step includes calculating the ratio of the basic materials of the heterogeneous topological structure based on the Tamura composite material mathematical model, calculating the density, Poisson's ratio and specific heat capacity of the heterogeneous basic materials based on the classical law of mixing, coupling the above calculation results based on the Double Plate model to obtain the linear expansion coefficient of the material in the multi-structure unit, calculating the thermal conductivity of the coupled material of the multi-structure unit based on the Markworth model, and obtaining the parameters for predicting the heat transfer characteristics of the structure.

7. The structural and functional integrated product optimization method based on additive manufacturing according to claim 1 is characterized in that: The structural optimization steps based on additive manufacturing include: The manufacturing limit values ​​of the selected additive equipment are tested and quantified as input to optimize the structural configuration; the manufacturing limit values ​​include minimum wall thickness, overhang features and sharp corner features; the additive manufacturing process of the optimized product is simulated using finite element software, the stress and strain concentration areas under additive heat input are simulated and solved, and then optimized; the product molding path is planned using path simulation software to verify the accessibility of the additive manufacturing equipment.

8. A structural and functional integrated product optimization system based on additive manufacturing, characterized in that: include: Multi-component integration module: Carry out different integrations to integrate multiple target components into an integrated structure, including integration based on process reduction and integration based on materials; Structural and functional integration module: Modeling of different areas obtained by functionally dividing the integrated structure; The area includes a lightweight load-bearing structure area, a magnetic conductive / magnetic shielding composite functional area and a thermal insulation functional area; Structural optimization module based on additive manufacturing: The obtained models are coupled to complete the optimization process based on the process characteristics of additive manufacturing.

9. The structural and functional integrated product optimization system based on additive manufacturing according to claim 8, characterized in that: The multi-component integrated module comprises: Carry out integration based on process reduction to achieve multi-component consolidation by avoiding the number of assemblies, welds and coatings; Carry out material-based integration, solve the crystal structure under different element combinations and ratios through thermodynamic software, and predict the stability of the interface structure of heterogeneous materials based on first principles. Through the development of multiple raw material components and feedback control of simulation results, realize the fusion and gradient transition of heterogeneous material interfaces and complete the integration of multiple components.

10. The structural and functional integrated product optimization system based on additive manufacturing according to claim 8, characterized in that: The division of the lightweight load-bearing structure area includes determining the geometric model, load, boundary conditions and structural quality requirements of the target product, and carrying out comprehensive optimization of multiple types of design variables, wherein the multiple types include size type, shape type and topology type; The optimization model of structural size and shape design is determined by means of experimental design and the idea of ​​constructing an approximate surrogate model. A penalty factor is introduced to establish an explicit nonlinear correspondence between the elastic matrix and the unit pseudo-density. The optimization problem and the optimization objective are coupled and solved through multi-level optimization methods.

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