A component topology design method based on lattice structure

Abstract

This invention discloses a component topology design method based on a lattice structure. The method includes: for solid regions in the component, extracting and converting them into spatial lattice clusters, selecting lattice units for filling and setting wall thickness values ​​to obtain a lightweight component; for non-assembly surfaces with low curvature and thin walls in the component, generating spatial lattice clusters after meshing, and filling them with thin-plate lattice units to generate ribs, resulting in a reinforced component; based on the lightweight or reinforced component, further optimizing the lattice filling topology of the component through three methods: wall thickness gradient processing, density gradient processing, and lattice fusion. This invention effectively improves design efficiency and freedom, and can better meet the needs of different types of components in terms of lightweighting or structural reinforcement.

Description

Technical Field

[0001] This invention belongs to the field of topology optimization, specifically relating to a component topology design method based on lattice structure, which is used to achieve topology design including optimization directions such as lightweighting and structural strengthening for some typical structures in industrial manufacturing. Background Technology

[0002] As the performance requirements for components in industrial manufacturing become increasingly stringent, structural design faces ever greater challenges. These challenges encompass multiple aspects, affecting not only component performance and reliability but also operational safety and efficiency. Among the issues in structural design, structural strength and lightweighting constitute a significant portion. To improve component performance, designers need to continuously optimize existing structures and develop effective design methods.

[0003] To improve design efficiency and accuracy, advanced methods and technologies, such as topology optimization, biomimetic design, and algorithmic control, are needed for optimizing and innovating part structures. These methods can significantly reduce part mass and improve performance and reliability. Currently, using lattice structures to fill solids is a widely used technique in part topology applications. A lattice structure is a special structure formed by the periodic or near-periodic arrangement of basic units. Its advantages include high specific strength, strong impact resistance, and good heat dissipation. Using different lattices can effectively enable parts to exhibit unique capabilities. However, current technologies lack optimization design methods based on lattice structures for different types of parts. Summary of the Invention

[0004] The purpose of this invention is to provide a component topology design method based on lattice structure, so as to effectively improve design efficiency and freedom, and better meet the needs of different types of components in terms of lightweighting or structural reinforcement.

[0005] To achieve the above objectives, the present invention employs the following technical solution: A component topology design method based on lattice structure includes: For solid areas in components, the solid areas are extracted and transformed into spatial lattice clusters. Lattice units are selected for filling and wall thickness values ​​are set to obtain lightweight components. For non-assembly surfaces with low curvature and thin walls in parts, spatial lattice clusters are generated after meshing, and thin plate-type lattice units are used to fill them to generate ribs, resulting in reinforced parts; Based on the lightweight or reinforced components, the topology of the component lattice filling is further optimized through three methods: wall thickness gradient processing, density gradient processing, and lattice fusion.

[0006] Furthermore, for the solid areas in the components, the solid areas are extracted and transformed into spatial lattice clusters. Lattice units are selected for filling, and wall thickness values ​​are set to obtain lightweight components, including: Analyze the overall structure of the component and its assembly relationship with the external environment to determine all the assembly surfaces that need to be preserved; then select solid areas from the component as the objects of lightweight design, and ensure that subsequent lattice filling operations do not affect these assembly surfaces. The solid region is extracted from the three-dimensional digital model of the component and denoted as component M; preprocessing is performed before lattice filling to transform component M into a spatial lattice cluster formed by the arrangement of spatial lattices of the same size and shape. Select the desired lattice unit shape for lattice filling, uniformly fill it into the spatial lattice cluster transformed from M component, set the wall thickness value of the lattice unit, and complete the structural topology optimization of the solid region; replace the original M component with the optimized topology to obtain the lightweight component.

[0007] Furthermore, it is verified whether the mass ratio of the lightweighted parts to the original parts is less than a preset value. If the mass ratio is less than the preset value, the lightweight design is completed; otherwise, the wall thickness of the lattice unit is readjusted or the shape of the lattice unit is changed.

[0008] Furthermore, for the shape of the lattice unit, one of the following can be selected for filling: truss type, cell type, or thin plate type; among them, truss type units are used to reduce the total mass, cell type units are used to improve heat transfer capacity and comprehensive mechanical properties, and thin plate type units are used to improve rigidity to facilitate energy absorption and vibration reduction.

[0009] Furthermore, for the non-assembly surfaces of low-curvature, thin-walled features in the components, spatial lattice clusters are generated after meshing, and thin-plate lattice units are used to fill them to generate ribs, resulting in reinforced components, including: For components with low curvature and thin walls, the non-assembly surface of the thin wall is selected as the base surface; The base surface is extracted from the three-dimensional digital model and denoted as the F surface. Then, it is imported into the finite element environment and meshed to generate a mesh surface composed of quadrilaterals. Based on the outlines of all quadrilaterals in the grid surface, a spatial grid cluster with the same thickness as the thin-walled feature is generated on it; By adjusting the spatial lattice clusters to fit tightly against the F-plane, the quadrilaterals that make up the grid plane are made up of uniform shape to ensure the periodicity of the topological structure. The aforementioned spatial lattice cluster is lattice-filled, and thin-plate lattice units are selected as filling individuals, keeping them the same size as the lattice. Ribs that can strengthen the structure are generated on the F-surface, thereby obtaining reinforced low-curvature thin-walled parts.

[0010] Furthermore, a wall thickness gradient is applied to the topology generated by lattice filling during component lightweighting or component strengthening, as follows: In the three-dimensional space of the topology, the start point, end point, and direction of the gradient range are set, and the shape change of the lattice within the range is driven by the interval parameter control field. The interval parameter control field refers to a scalar or vector field defined by a set of interval parameters in three-dimensional space, used to drive the continuous change of the lattice wall thickness with spatial position. The interval parameters include the start position, end position, minimum wall thickness value, maximum wall thickness value, and transition mode. By controlling the field with parameters, the wall thickness or density of the crystal lattice can be gradually changed from the minimum to the maximum value according to a preset transition method, thereby achieving gradient optimization of the topology. The location in the component where stress concentration is likely to occur is taken as the starting field, and the direction is set to diverge in all directions. Taking the center point of the starting field as the starting point, the wall thickness value of the lattice near the starting point is increased, and the range of wall thickness variation is set to perform wall thickness gradient processing on the topology. The wall thickness gradually decreases from the maximum value at the starting point to the minimum value at the ending point according to the transition method.

[0011] Furthermore, density gradient processing is applied to the topology generated by lattice filling, including: In the three-dimensional space of the topological structure, the start point, end point and direction of the gradient range are set, and the distribution density of the lattice within the range is controlled by the interval parameter control field, so that it exhibits aperiodicity in macroscopic morphology; wherein, the interval parameter control field refers to: in three-dimensional space, a scalar field or vector field defined by a set of interval parameters, used to drive the lattice distribution density to change continuously with spatial position. By controlling the field with parameters, the density distribution of the crystal lattice can be gradually changed from a minimum to a maximum value according to a preset transition method, thereby achieving density gradient optimization of the topology. The connection surface between the component and the topology is taken as the starting field, and the direction is set to diverge into the component. Taking the center point of the starting field as the starting point, the size value of the lattice near the starting point is reduced, and the range of size change is set to perform density gradient processing on the topology. The individual size of the lattice gradually increases from the minimum value at the starting point to the maximum value at the ending point according to the transition method, thereby obtaining a dense lattice near the connection surface and a sparse lattice away from the connection surface.

[0012] Furthermore, the lattice unit types already selected in the component lightweighting and strengthening processes are integrated and optimized, including: Two different crystal structures are selected so that their centers coincide in three-dimensional space; a certain fusion coefficient is assigned to control the degree of preservation of the structural features of the two structures; the fusion coefficient is controlled between 0.25 and 0.75.

[0013] A terminal device includes a processor, a memory, and a computer program stored in the memory; when the processor executes the computer program, it implements the component topology design method based on the lattice structure.

[0014] A computer-readable storage medium storing a computer program; when executed by a processor, the computer program implements the lattice-structure-based component topology design method.

[0015] Compared with the prior art, the present invention has the following technical features: (1) Topology optimization of components based on lattice structure can flexibly select the optimization direction according to functional characteristics. This technology is applicable to both lightweight and structural reinforcement design.

[0016] (2) The intelligent lattice filling process can realize automated structural topology, which greatly improves optimization efficiency and reduces the difficulty of structural design.

[0017] (3) By controlling the field in three-dimensional space to drive the shape change of the structure, the wall thickness or density of the topology can be gradient processed, which can make it have adjustable regional stiffness and improve the load-bearing performance of the lattice at stress concentration. Attached Figure Description

[0018] Figure 1 Force analysis for an equivalent rectangle; Figure 2 For the lightweighting process of triangular supports; Figure 3 For the skin structure reinforcement process; Figure 4 This is a schematic diagram of wall thickness gradient processing; Figure 5 This is a schematic diagram of density gradient processing; Figure 6 This is a schematic diagram of lattice fusion.

[0019] Figure 3 1 is the skin structure; 2 is the inner surface grid; 3 is the conformal spatial grid; 4 is the rib structure; 5 is the reinforced skin structure; Figure 6 In the diagram, 1 represents the Neoivus lattice; 2 represents the Schwarz lattice. Detailed Implementation

[0020] This invention provides a component topology design method based on lattice structure. It targets typical structural features commonly found in manufacturing and flexibly optimizes the structure according to functional characteristics. During the design process, it utilizes finite element technology, smart lattice filling, and other methods to assist in structure generation. Furthermore, based on the two optimization methods, it expands the depth optimization method to control feature details, thereby further improving the performance of the topology structure.

[0021] Step 1: For the solid areas in the parts, extract and convert them into spatial lattice clusters, select lattice units to fill them and set the wall thickness value to obtain the lightweight parts.

[0022] A solid region refers to a completely dense structure without any cavities or fillings inside. Lightweighting of solid regions in components involves the following basic steps: Step 1.1: Analyze the overall structure of the component and its assembly relationship with the outside world to determine all the assembly surfaces that need to be maintained; then select solid regions from the components as the objects of lightweight design, and ensure that subsequent lattice filling operations (i.e., structural topology optimization of solid regions) do not affect these assembly surfaces.

[0023] Step 1.2: Extract the solid region from the three-dimensional digital model of the component and denote it as component M; perform preprocessing before lattice filling to transform component M into a spatial lattice cluster formed by the arrangement of spatial lattices of the same size and shape.

[0024] Step 1.3: Select the required lattice unit shape for lattice filling, uniformly fill it into the spatial lattice cluster transformed from M component, set the wall thickness value of the lattice unit, and complete the structural topology optimization of the solid region; replace the original M component with the optimized topology to obtain the lightweight component.

[0025] In this step, based on the common lattice unit shapes existing in the field of structural topology, they can be divided into the following three categories: truss type, cell type, and thin plate type. The diverse unit types not only provide more possibilities for design, but also improve the performance of parts in different aspects.

[0026] Using truss-type lattice units for filling can significantly reduce the total mass of the topologically topological components. This type of geometry usually has the advantages of high porosity and good specific strength, but due to its low rigidity, it is prone to collapse and failure under strong loads.

[0027] The advantages of cellular lattice units lie in their excellent heat transfer capacity and high-level comprehensive mechanical properties; under the same unit wall thickness, their elastic modulus can reach more than 5 times that of truss units, and they do not break when subjected to greater loads.

[0028] For thin-plate lattice units, although they lose more weight reduction characteristics, their increased rigidity is more conducive to energy absorption and vibration reduction.

[0029] Step 1.4 verifies whether the mass ratio of the lightweighted parts to the original parts is less than the preset value of 0.8, as a check of the lightweighting effect; the mass ratio calculation formula is as follows:

[0030] in, Represents the mass ratio, , These represent the mass of the components before and after weight reduction, respectively.

[0031] if If the value is less than the preset value of 0.8, the lightweight topology design of the component is completed; otherwise, return to step 1.3, reduce the wall thickness of the lattice unit or change the shape of the lattice unit (such as changing from cell type to truss type), and re-verify the lattice filling and mass ratio.

[0032] Step 2: For the non-assembly surfaces of thin-walled features with low curvature in the parts, spatial lattice clusters are generated after meshing, and thin-plate lattice units are used to fill them to generate ribs, thus obtaining the reinforced parts.

[0033] Step 2.1: For the low curvature thin-walled feature of the component, select the non-assembly surface of the thin wall as the base surface; where the low curvature thin-walled feature is a thin-walled structural region in the component whose wall thickness is relatively small relative to its in-plane dimension (e.g., the ratio of wall thickness to in-plane dimension is less than a preset ratio of 0.1) and whose surface curvature changes gently.

[0034] Step 2.2: Extract the base surface from the three-dimensional digital model and denote it as surface F. Then import it into the finite element environment and perform a meshing operation on surface F to generate a mesh surface composed of quadrilaterals.

[0035] Step 2.3: Based on the outlines of all quadrilaterals in the grid surface, generate a spatial grid cluster with the same thickness as the thin-wall feature; that is, each quadrilateral outline is stretched along the normal direction to form a spatial grid by the thickness of the thin wall.

[0036] Step 2.4: Adjust the spatial lattice clusters to fit tightly against the F-plane. Since the distribution of the spatial lattice depends entirely on the grid, it is necessary to keep the quadrilaterals that make up the grid plane uniform in shape to ensure the periodicity of the topology.

[0037] Step 2.5: Fill the space lattice cluster with crystal, select thin plate lattice units as filling individuals, keep them the same size as the lattice, and generate ribs on the F surface to strengthen the structure, thereby obtaining the strengthened low curvature thin-walled parts.

[0038] To verify the strengthening effect, the cross-section of the low-curvature thin wall is approximated as a rectangle. With the load applied at the fixed end and center, the formula for calculating the flexural strength is: ,in Represents bending moment. This represents the distance from the point of force application to the neutral axis. The moment of inertia of the representative section; the formula for calculating the bending moment under the fixed-end condition (one end of the member is completely fixed) is: ,in Represents the force received. This represents the span between the two endpoints.

[0039] Before and after structural strengthening, the two ends of the cross-section of the low-curvature thin-walled feature remain unchanged, and the stress state is the same, so the bending moment remains unchanged; after structural strengthening, one side of the thin-walled feature consists of ribs composed of thin-plate lattice units, such as... Figure 1 As shown, the cross-sectional area of ​​the stiffener is negligible compared to the cross-sectional area on its other side, therefore the moment of inertia of the section is approximately equal. Due to the increased overall thickness after strengthening, the distance from the stress point to the neutral axis increases, thus effectively improving the bending strength.

[0040] Step 3: For the lightweight or reinforced components, the topology of the component lattice filling is further optimized through three methods: wall thickness gradient processing, density gradient processing, and lattice fusion.

[0041] Based on their functional requirements, after the lightweighting in step 1 or the structural reinforcement in step 2, the technical methods are adjusted in detail to better adapt to the comprehensive issues of increasingly complex requirements, efficient manufacturing, and lean design structures. Focusing on the geometric features of the components, the design effect is further improved through in-depth optimization. Optimization methods include wall thickness gradient processing, density gradient processing, and lattice fusion, and the operation methods are as follows: Step 3.1, wall thickness gradient processing.

[0042] The wall thickness gradient processing of the topology generated in step 1.3 of the component lightweighting process or step 2.5 of the component strengthening process includes the following steps: Step 3.1.1: In the three-dimensional space of the topology, set the start point, end point, and direction of the gradient range, and drive the shape change of the lattice within the range through interval parameter control field; wherein, the interval parameter control field refers to: in three-dimensional space, a scalar field or vector field defined by a set of interval parameters, used to drive the lattice wall thickness to change continuously with spatial position; the interval parameters include the start position, end position, minimum wall thickness value, maximum wall thickness value, and transition mode.

[0043] By controlling the field with parameters, the wall thickness or density of the crystal lattice can be gradually changed from the minimum to the maximum value according to a preset transition mode (such as linear, exponential, etc.), thereby achieving gradient optimization of the topology.

[0044] Step 3.1.2: The location of stress concentration in the component is designated as the starting field, radiating outwards to ensure the endpoint covers the area to be optimized. Using the center point of the starting field as the starting point, the wall thickness of the lattice near this starting point is increased, and a range for wall thickness variation is set to perform a wall thickness gradient treatment on the topology. The wall thickness gradually decreases from its maximum value at the starting point to its minimum value at the endpoint according to the aforementioned transition method. This method strengthens only the weakest points, improving the overall structural stability.

[0045] Step 3.2, density gradient processing.

[0046] Density gradient processing of the topology generated by lattice filling includes the following steps: Step 3.2.1: In the three-dimensional space of the topological structure, the start point, end point, and direction of the gradient range are set, and the distribution density of the lattice within the range is controlled by the interval parameter control field, so that it exhibits a non-periodicity in macroscopic morphology; wherein, the interval parameter control field refers to: in three-dimensional space, a scalar field or vector field defined by a set of interval parameters, used to drive the lattice distribution density to change continuously with spatial position; the interval parameters include the start position, end position, minimum size value, maximum size value, and transition mode.

[0047] By controlling the field with parameters, the density distribution of the lattice can be gradually changed from a minimum to a maximum value according to a preset transition mode (such as linear, exponential, etc.), thereby achieving density gradient optimization of the topology.

[0048] Step 3.2.2: The connection surface between the component and the topology is taken as the starting field, and the direction is set to diverge into the component to ensure that the endpoint can cover the area to be optimized. Taking the center point of the starting field as the starting point, the size value of the lattice near the starting point is reduced (so that the lattice distribution is more dense), and the range of size change is set to perform density gradient processing on the topology. Among them, the individual size of the lattice gradually increases from the minimum value at the starting point to the maximum value at the endpoint according to the transition method, so as to obtain a dense lattice near the connection surface and a sparse lattice far away from the connection surface. This method can avoid breakage due to weak connection.

[0049] Step 3.3, lattice fusion.

[0050] The lattice unit types selected in the lightweighting and strengthening processes of components are fused and optimized. This involves choosing two different lattice structures and fusing them to obtain a new lattice unit with higher overall performance, which can then replace the original lattice units in the topology. The lattice fusion design method includes the following steps: Two different crystal structures are selected so that their centers coincide in three-dimensional space; a certain fusion coefficient is assigned to control the degree of preservation of the structural features of the two structures; the fusion coefficient is controlled between 0.25 and 0.75.

[0051] In this step, different crystal structures exhibit varying levels of overall performance in terms of thermal properties, mechanical properties, and specific strength. Fusing them together can yield crystal units with higher overall performance. However, excessively large or small fusion coefficients can lead to an overemphasis on the structural features of one particular crystal lattice, limiting the potential for improved overall performance.

[0052] Example 1: In this embodiment, the triangular support component is selected as the lightweight design object. The solid area at the center is extracted from the component for structural topology analysis, such as... Figure 2 As shown.

[0053] It should be noted that since the extracted part of the structure contains assembly holes, the outline of the holes needs to be offset and then used to cut the solid area. In order to ensure that the assembly relationship is not affected, the offset is set to 5mm, and the solid structure after cutting is denoted as component M.

[0054] The M-component is transformed into a cluster of spatial lattice cells of the same shape, with the lattice cell size set to 10mm×10mm×10mm. A truss-type BCC lattice, a cell-type Schwarz lattice, and a thin-plate-type cross-shaped lattice are selected to fill all the lattices of the cluster, with the wall thickness uniformly set to 1mm.

[0055] like Figure 2 As shown, the filled topology did not affect the assembly relationship. Measurements revealed that using different lattice topologies, the part mass ratios were 0.697, 0.724, and 0.772, all meeting the requirement of <0.8.

[0056] Therefore, when only the weight reduction effect is considered, the BCC unit performs better, and this structure composed of thin rods has great application potential in the field of lightweighting.

[0057] Example 2: In this embodiment, a low-curvature skin part with a thickness of 2mm is selected as the object of structural reinforcement, and cross ribs are added to its inner surface to improve its resistance to deformation.

[0058] The inner surface of the skin is extracted and meshed using finite element method. The mesh size is set to 10mm × 10mm square to ensure uniform shape, and the mesh surface is denoted as F surface. The mesh shape distribution on the F surface is used as the bottom, and a conformal spatial grid is generated on it, with the grid height set to 2mm.

[0059] By filling the space lattice with a cross-shaped crystal lattice and performing Boolean merging with the original part, a skin structure with better bending resistance can be obtained, such as... Figure 3 As shown.

[0060] use The bending strength of the skin structure before and after reinforcement was calculated. Since the distance from the stress point to the neutral axis increased from 1 mm to 2 mm, and the bending moment and the moment of inertia of the section are approximately equivalent, the bending strength increased by about 2 times.

[0061] Example 3: In this embodiment, the triangular support component is used as the object for in-depth optimization. Wall thickness gradient processing, density gradient processing, and fusion technology are used to optimize the crystal structure.

[0062] Optionally, based on the lightweight design, the contact surface between component M and the triangular support is chosen as the starting point in the field, and the ending point is 15mm away from this surface, ensuring that the topology is completely covered by the field. The initial wall thickness is set to 2mm, and the ultimate wall thickness of the element far from the contact surface is specified as 1mm, with tangential continuity as the transition method. This results in a topology with a wall thickness gradient, which exhibits higher mechanical performance under load, such as... Figure 4 As shown.

[0063] Optionally, based on the lightweight design, the connection surface between component M and the triangular support is selected as the starting point in the field, and the ending position is set at 15mm from this surface to ensure complete coverage of the topology. The initial size of the element is set to 10mm×10mm×10mm, and the limiting size of the element far from the contact surface is specified to be increased by 2.5 times, with tangential continuity as the transition method. This results in a topology with a density gradient, reducing the risk of lattice breakage at the connection point with the component, such as... Figure 5 As shown.

[0064] Optionally, based on the lightweight design, a fusion of Schwarz and Neovius lattices within the cell unit class is selected. Considering that symmetrical structures are more conducive to arrangement and combination, the fusion coefficient for all positions of both types of units is set to 0.5. The high strength characteristics of the Schwarz lattice are retained, while the structural features of the Neovius lattice are utilized to maximize weight reduction through hollowing. Using this method for weight reduction at the cell scale better preserves the original form of the high-strength lattice, resulting in a fused lattice structure as shown below. Figure 6 As shown.

[0065] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A component topology design method based on lattice structure, characterized in that, include: For solid areas in components, the solid areas are extracted and transformed into spatial lattice clusters. Lattice units are selected for filling and wall thickness values ​​are set to obtain lightweight components. For non-assembly surfaces with low curvature and thin walls in parts, spatial lattice clusters are generated after meshing, and thin plate-type lattice units are used to fill them to generate ribs, resulting in reinforced parts; Based on the lightweight or reinforced components, the topology of the component lattice filling is further optimized through three methods: wall thickness gradient processing, density gradient processing, and lattice fusion.

2. The component topology design method based on lattice structure according to claim 1, characterized in that, For solid areas in components, the solid areas are extracted and transformed into spatial lattice clusters. Lattice units are then selected for filling, and wall thickness values ​​are set to obtain lightweight components, including: Analyze the overall structure of the component and its assembly relationship with the external environment to determine all the assembly surfaces that need to be preserved; then select solid areas from the component as the objects of lightweight design, and ensure that subsequent lattice filling operations do not affect these assembly surfaces. The solid region is extracted from the three-dimensional digital model of the component and denoted as component M; preprocessing is performed before lattice filling to transform component M into a spatial lattice cluster formed by the arrangement of spatial lattices of the same size and shape. Select the desired lattice unit shape for lattice filling, uniformly fill it into the spatial lattice cluster transformed from M component, set the wall thickness value of the lattice unit, and complete the structural topology optimization of the solid region; replace the original M component with the optimized topology to obtain the lightweight component.

3. The component topology design method based on lattice structure according to claim 2, characterized in that, Verify whether the mass ratio of the lightweighted parts to the original parts is less than the preset value. If the mass ratio is less than the preset value, the lightweight design is complete; otherwise, readjust the wall thickness of the lattice unit or change the shape of the lattice unit.

4. The component topology design method based on lattice structure according to claim 2, characterized in that, For the shape of the lattice unit, one of the following can be selected for filling: truss type, cell type, or thin plate type. Among them, truss type units are used to reduce the total mass, cell type units are used to improve heat transfer capacity and comprehensive mechanical properties, and thin plate type units are used to improve rigidity to facilitate energy absorption and vibration reduction.

5. The component topology design method based on lattice structure according to claim 1, characterized in that, For non-assembly surfaces with low curvature and thin walls in components, spatial lattice clusters are generated after meshing, and thin-plate lattice units are used to fill them to generate ribs, resulting in reinforced components, including: For components with low curvature and thin walls, the non-assembly surface of the thin wall is selected as the base surface; The base surface is extracted from the three-dimensional digital model and denoted as surface F. Then, it is imported into the finite element environment and meshed to generate a mesh surface composed of quadrilaterals. Based on the outlines of all quadrilaterals in the grid surface, a spatial grid cluster with the same thickness as the thin-walled feature is generated on it; By adjusting the spatial lattice clusters to fit tightly against the F-plane, the quadrilaterals that make up the grid plane are made up of uniform shape to ensure the periodicity of the topological structure. The aforementioned spatial lattice cluster is lattice-filled, and thin-plate lattice units are selected as filling individuals, keeping them the same size as the lattice. Ribs that can strengthen the structure are generated on the F-surface, thereby obtaining reinforced low-curvature thin-walled parts.

6. The component topology design method based on lattice structure according to claim 1, characterized in that, The wall thickness gradient is applied to the topology generated by lattice filling during component lightweighting or component strengthening, as follows: In the three-dimensional space of the topology, the start point, end point, and direction of the gradient range are set, and the shape change of the lattice within the range is driven by the interval parameter control field. The interval parameter control field refers to a scalar or vector field defined by a set of interval parameters in three-dimensional space, used to drive the continuous change of the lattice wall thickness with spatial position. The interval parameters include the start position, end position, minimum wall thickness value, maximum wall thickness value, and transition mode. By controlling the field with parameters, the wall thickness or density of the crystal lattice can be gradually changed from the minimum to the maximum value according to a preset transition method, thereby achieving gradient optimization of the topology. The location in the component where stress concentration is likely to occur is taken as the starting field, and the direction is set to diverge in all directions. Taking the center point of the starting field as the starting point, the wall thickness value of the lattice near the starting point is increased, and the range of wall thickness variation is set to perform wall thickness gradient processing on the topology. The wall thickness gradually decreases from the maximum value at the starting point to the minimum value at the ending point according to the transition method.

7. The component topology design method based on lattice structure according to claim 1, characterized in that, Density gradient processing is applied to the topology generated by lattice filling, including: In the three-dimensional space of the topological structure, the start point, end point and direction of the gradient range are set, and the distribution density of the lattice within the range is controlled by the interval parameter control field, so that it exhibits aperiodicity in macroscopic morphology; wherein, the interval parameter control field refers to: in three-dimensional space, a scalar field or vector field defined by a set of interval parameters, used to drive the lattice distribution density to change continuously with spatial position. By controlling the field with parameters, the density distribution of the crystal lattice can be gradually changed from a minimum to a maximum value according to a preset transition method, thereby achieving density gradient optimization of the topology. The connection surface between the component and the topology is taken as the starting field, and the direction is set to diverge into the component. Taking the center point of the starting field as the starting point, the size value of the lattice near the starting point is reduced, and the range of size change is set to perform density gradient processing on the topology. The individual size of the lattice gradually increases from the minimum value at the starting point to the maximum value at the ending point according to the transition method, thereby obtaining a dense lattice near the connection surface and a sparse lattice away from the connection surface.

8. The component topology design method based on lattice structure according to claim 1, characterized in that, The lattice unit types already selected in the component lightweighting and strengthening processes are integrated and optimized, including: Two different crystal structures are selected so that their centers coincide in three-dimensional space; a certain fusion coefficient is assigned to control the degree of preservation of the structural features of the two structures; the fusion coefficient is controlled between 0.25 and 0.

75.

9. A terminal device, comprising a processor, a memory, and a computer program stored in the memory; characterized in that, When the processor executes a computer program, it implements the component topology design method based on lattice structure as described in any one of claims 1-8.

10. A computer-readable storage medium storing a computer program; characterized in that, When the computer program is executed by the processor, it implements the component topology design method based on lattice structure as described in any one of claims 1-8.

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