A modeling method of gradient partition lattice porous structure implant

Abstract

The application discloses a kind of gradient partition lattice porous structure implant modeling method, comprising: S1, obtaining target macroscopic shape contour and internal porosity gradient distribution requirement;S2, in the three-dimensional space defined in macroscopic shape contour, generate discrete voxel area set in line with gradient distribution;S3, in each voxel area, according to the performance requirement in region, by key point connection into line, form different types of linear lattice structure;S4, the line segment in the linear lattice structure formed is discretized, form point set;S5, set different radius size, and with the obtained point as the center of sphere, form sphere, the original point set is changed into sphere set;S6, by smoothing processing, the gap between original sphere is smoothed, form continuous rod structure, finally form porous structure implant according to gradient distribution.The application can selectively design the whole or local area on the surface of complex shape part according to the need, and obtain the porous structure with high adaptability design.

Description

Technical Field

[0001] This invention belongs to the field of additive manufacturing technology, specifically relating to a method for modeling a gradient partitioned lattice porous structure implant. Background Technology

[0002] Autologous bone grafting, while currently a relatively effective treatment for bone defects, suffers from limited bone source supply and serious postoperative complications, hindering its widespread adoption. In contrast, allogeneic prostheses are gradually becoming an alternative treatment option for bone defects. Consequently, prosthesis design has become a hot research topic. To achieve bone defect repair, allogeneic implants need to possess the same function as the defective portion. Therefore, different requirements exist for the mechanical and biological properties of the implants.

[0003] The development of additive manufacturing technology has made it possible to fabricate complex prostheses. Through additive manufacturing, researchers are no longer limited by traditional manufacturing methods, allowing them to design more complex structures that meet the biomechanical requirements of natural bone. Among these, porous structures are the most widely used. However, existing methods for modeling porous lattice structures mainly rely on lattice arrays and Boolean operations, which have the following problems:

[0004] The technology has low flexibility and cannot selectively design the overall or local structural features of complex shaped parts as needed; the design is complex, and the diameter variation of the porous structure rod depends on the lofting of the curve along a specific trajectory, which is time-consuming and inefficient. Summary of the Invention

[0005] The main objective of this invention is to overcome the shortcomings and deficiencies of the prior art and propose a gradient partitioned lattice porous structure implant modeling method. This method can selectively design the entire or local areas of the surface of complex shaped parts as needed to obtain porous structures with high adaptability and flexibility.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A method for modeling gradient partitioned lattice porous structure implants includes the following steps:

[0008] S1. Obtain the target's macroscopic shape and internal porosity gradient distribution requirements;

[0009] S2. Within the three-dimensional space defined by the macroscopic outline, generate a set of discrete voxel regions that conform to the gradient distribution according to the porosity gradient distribution requirements.

[0010] S3. In each voxel region, according to the performance requirements of the region, the key points are connected to form lines to form different types of linear lattice structures.

[0011] S4. Discretize the line segments in the formed linear lattice structure to form a set of points distributed according to the lattice.

[0012] S5. Based on the performance requirements of different regions in the voxel region, set different radius sizes, and use the points obtained in step S4 as the center of the sphere to form a sphere, transforming the original set of points into a set of spheres.

[0013] S6. For the sphere assembly, the gaps between the original spheres are smoothed through a smoothing process to form a continuous rod structure, ultimately forming a porous implant with a gradient distribution.

[0014] The present invention also includes a gradient partitioned lattice porous structure implant, which is modeled and manufactured using the gradient partitioned lattice porous structure implant modeling method provided by the present invention.

[0015] The present invention also includes a gradient partitioned lattice porous structure implant modeling system. The system applies the gradient partitioned lattice porous structure implant modeling method provided by the present invention. The system includes a macroscopic shape contour acquisition module, a voxelization module, a linear lattice selection module, a line segment discretization module, a point-to-sphere transformation module, and a sphere smoothing module.

[0016] The macroscopic shape contour acquisition module is used to acquire the target macroscopic shape contour and the internal porosity gradient distribution requirements;

[0017] The voxelization module is used to generate a set of discrete voxel regions that conform to the gradient distribution in the three-dimensional space defined by the macroscopic outline, based on the porosity gradient distribution requirements.

[0018] The linear lattice selection module is used to connect key points into lines to form different types of linear lattice structures based on the performance requirements of each voxel region.

[0019] The line segment discretization module is used to discretize the line segments in the formed linear lattice structure to form a set of points distributed according to the lattice.

[0020] The point-to-sphere conversion module is used to set different radius sizes according to the performance requirements of different regions in the voxel area, and form a sphere with the obtained point as the center, thus transforming the original set of points into a set of spheres.

[0021] The sphere smoothing module is used to smooth the gaps between the original spheres through smoothing treatment, forming a continuous rod structure, and finally forming a porous implant with a gradient distribution.

[0022] The present invention also includes an electronic device, the electronic device comprising:

[0023] At least one processor; and,

[0024] A memory that is communicatively connected to at least one processor; wherein,

[0025] The memory stores computer program instructions that can be executed by at least one processor, such that the at least one processor can perform the gradient partitioned lattice porous structure implant modeling method provided by the present invention.

[0026] The present invention also includes a computer-readable storage medium storing a program that, when executed by a processor, implements the gradient partitioned lattice porous structure implant modeling method provided by the present invention.

[0027] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0028] 1. High flexibility in modeling lattice-like structures; The method of this invention changes the conventional approach of directly performing geometric Boolean operations or implicit surface generation in the traditional porous structure design. It innovatively adopts a generation path of structural wireframe, discrete lattice, sphere representation, and smooth fusion. The method transforms the lattice topological wireframe into discrete point-sphere physical units, and then naturally generates continuous and smooth rod-shaped entities through smooth operations, effectively avoiding the limitations of traditional methods that rely on line-guided circle lofting to generate cylinders.

[0029] 2. Simplified multi-level collaborative parametric design process; This invention establishes a continuous design chain from macroscopic functional requirements to microscopic geometric parameters; Spatial gradient is defined by discrete voxel regions and their properties (such as target porosity); Different lattice topology types can be flexibly configured in different voxel regions according to local performance requirements (mechanical, heat transfer, etc.); By assigning spheres with differentiated radii to discrete points, and finally through smoothing operations, the local diameter and smoothness of the rods are controlled; This three-level collaborative mechanism of partitioning, matching, and parameter adjustment enables designers to accurately and efficiently design gradient porous structures that meet complex and multifunctional requirements within a unified framework.

[0030] 3. Highly adaptable structural design method: In contrast to the traditional forward design approach of first defining solid members and then calculating their performance, this invention proposes a new reverse design method. Based on the target performance, the structure is divided into multiple regions, and the performance of each region is further controlled by the distribution and size of the spheres, so that the designed structure meets the high adaptability requirements. Attached Figure Description

[0031] Figure 1 This is a flowchart of the method of the present invention.

[0032] Figure 2 This is a schematic diagram of the method of the present invention.

[0033] Figure 3 This is a schematic diagram of the system in the embodiment.

[0034] Figure 4 This is a schematic diagram of the electronic device in the embodiment. Detailed Implementation

[0035] The present invention will be further described in detail below with reference to the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0036] Examples; such as Figure 1 and Figure 2 As shown, a method for modeling a gradient partitioned lattice porous structure implant includes the following steps:

[0037] S1. Obtain the target's macroscopic shape and internal porosity gradient distribution requirements;

[0038] S2. Within the three-dimensional space defined by the macroscopic outline, generate a set of discrete voxel regions that conform to the gradient distribution according to the porosity gradient distribution requirements.

[0039] S3. Within each voxel region, based on the performance requirements of the region, lines are connected through key points to form different types of linear lattice structures; specifically:

[0040] Based on the mechanical, thermal, or permeation performance requirements of the voxel region, select the corresponding linear lattice topology type from the preset linear lattice structure library; the linear lattice topology types include, but are not limited to, body-centered cubic, face-centered cubic, diamond structure, or combinations thereof.

[0041] S4. Discretize the line segments in the formed linear lattice structure to form a set of points distributed according to the lattice.

[0042] Specifically, the line segments in the formed linear lattice structure are discretized as follows:

[0043] The three-dimensional space is divided into multiple voxel regions, and each voxel region is assigned a target porosity attribute. The size and / or spatial arrangement density of each voxel region are configured according to the porosity gradient distribution requirements, so that the voxel regions corresponding to high porosity target regions are larger or sparser, and the voxel regions corresponding to low porosity target regions are smaller or denser.

[0044] S5. Based on the performance requirements of different regions in the voxel region, set different radius sizes, and use the points obtained in step S4 as the center of the sphere to form a sphere, transforming the original set of points into a set of spheres.

[0045] S6. For the sphere assembly, the gaps between the original spheres are smoothed through a smoothing process to form a continuous rod structure, which ultimately forms a porous implant with a gradient distribution. The specific methods of smoothing include Laplace smoothing with volume conservation constraints and moving least squares method.

[0046] Smoothing processes fit two adjacent surfaces with large curvature differences into surfaces with uniform curvature distribution.

[0047] In another embodiment, a gradient partitioned lattice porous structure implant is provided, which is modeled and manufactured using the gradient partitioned lattice porous structure implant modeling method described in the above embodiments.

[0048] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously.

[0049] Based on the same idea as the gradient partitioned lattice porous structure implant modeling method in the above embodiments, the present invention also provides a gradient partitioned lattice porous structure implant modeling system, which can be used to execute the above-described gradient partitioned lattice porous structure implant modeling method. For ease of explanation, the structural schematic diagram of the gradient partitioned lattice porous structure implant modeling system embodiment only shows the parts related to the embodiments of the present invention. Those skilled in the art will understand that the illustrated structure does not constitute a limitation on the device, and may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0050] like Figure 3 As shown, the gradient partitioned lattice porous structure implant modeling system 100 includes a macroscopic outline acquisition module 101, a voxelization module 102, a linear lattice selection module 103, a line segment discretization module 104, a point-to-sphere transformation module 105, and a sphere smoothing processing module 106.

[0051] The macroscopic shape contour acquisition module is used to acquire the target macroscopic shape contour and the internal porosity gradient distribution requirements;

[0052] The voxelization module is used to generate a set of discrete voxel regions that conform to the gradient distribution in the three-dimensional space defined by the macroscopic outline, based on the porosity gradient distribution requirements.

[0053] The linear lattice selection module is used to connect key points into lines to form different types of linear lattice structures based on the performance requirements of each voxel region.

[0054] The line segment discretization module is used to discretize the line segments in the formed linear lattice structure to form a set of points distributed according to the lattice.

[0055] The point-to-sphere conversion module is used to set different radius sizes according to the performance requirements of different regions in the voxel area, and form a sphere with the obtained point as the center, thus transforming the original set of points into a set of spheres.

[0056] The sphere smoothing module is used to smooth the gaps between the original spheres through smoothing treatment, forming a continuous rod structure, and finally forming a porous implant with a gradient distribution.

[0057] It should be noted that the gradient partitioned lattice porous structure implant modeling system and the gradient partitioned lattice porous structure implant modeling method correspond one-to-one. The technical features and beneficial effects described in the above embodiments of the gradient partitioned lattice porous structure implant modeling method are applicable to the embodiments of the gradient partitioned lattice porous structure implant modeling system. For details, please refer to the description in the embodiments of the method of this invention, which will not be repeated here.

[0058] Furthermore, in the above-described implementation of the gradient partitioned lattice porous structure implant modeling system, the logical division of each program module is merely an example. In actual applications, the above functions can be assigned to different program modules as needed, for example, for the sake of corresponding hardware configuration requirements or the convenience of software implementation. That is, the internal structure of the gradient partitioned lattice porous structure implant modeling system can be divided into different program modules to complete all or part of the functions described above.

[0059] like Figure 4 As shown, in another embodiment, an electronic device is provided for implementing a gradient partitioned lattice porous structure implant modeling method. The electronic device 200 may include a first processor 201, a first memory 202 and a bus, and may also include a computer program stored in the first memory 202 and executable on the first processor 201, such as a gradient partitioned lattice porous structure implant modeling program 203.

[0060] The first memory 202 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the first memory 202 can be an internal storage unit of the electronic device 200, such as the portable hard drive of the electronic device 200. In other embodiments, the first memory 202 can also be an external storage device of the electronic device 200, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 200. Furthermore, the first memory 202 can include both internal storage units and external storage devices of the electronic device 200. The first memory 202 can be used not only to store application software and various types of data installed on the electronic device 200, such as the code of the gradient partitioned lattice porous structure implant modeling program 203, but also to temporarily store data that has been output or will be output.

[0061] In some embodiments, the first processor 201 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits packaged with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The first processor 201 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the first memory 202 and calls data stored in the first memory 202 to perform various functions of the electronic device 200 and process data.

[0062] Figure 4 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 4 The structure shown does not constitute a limitation on the electronic device 200, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0063] The gradient partitioned lattice porous structure implant modeling program 203 stored in the first memory 202 of the electronic device 200 is a combination of multiple instructions. When run in the first processor 201, it can achieve the following:

[0064] Obtain the target's macroscopic external profile and internal porosity gradient distribution requirements;

[0065] Within the three-dimensional space defined by the macroscopic outline, a set of discrete voxel regions conforming to the gradient distribution is generated according to the porosity gradient distribution requirements.

[0066] Within each voxel region, based on the performance requirements of the region, lines are connected by key points to form different types of linear lattice structures.

[0067] The line segments in the formed linear lattice structure are discretized to form a set of points distributed according to the lattice.

[0068] Based on the performance requirements of different regions in the voxel region, different radius sizes are set, and spheres are formed with the obtained points as the centers, transforming the original set of points into a set of spheres.

[0069] For the sphere assembly, the gaps between the original spheres are smoothed through a smoothing process to form a continuous rod structure, ultimately forming a porous implant with a gradient distribution.

[0070] Furthermore, if the modules / units integrated in the electronic device 200 are implemented as software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0071] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0072] In another embodiment, a computer-readable storage medium is provided storing a program that, when executed by a processor, implements the gradient partitioned lattice porous structure implant modeling method of the present invention, specifically as follows:

[0073] Obtain the target's macroscopic external profile and internal porosity gradient distribution requirements;

[0074] Within the three-dimensional space defined by the macroscopic outline, a set of discrete voxel regions conforming to the gradient distribution is generated according to the porosity gradient distribution requirements.

[0075] Within each voxel region, based on the performance requirements of the region, lines are connected by key points to form different types of linear lattice structures.

[0076] The line segments in the formed linear lattice structure are discretized to form a set of points distributed according to the lattice.

[0077] Based on the performance requirements of different regions in the voxel region, different radius sizes are set, and spheres are formed with the obtained points as the centers, transforming the original set of points into a set of spheres.

[0078] For the sphere assembly, the gaps between the original spheres are smoothed through a smoothing process to form a continuous rod structure, ultimately forming a porous implant with a gradient distribution.

[0079] The computer-readable storage medium may be transient or non-transient. Exemplary examples include, but are not limited to, various media capable of storing computer program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] For example, the processor may be a central processing unit (CPU), a microprocessor unit (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0081] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0082] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A method for modeling gradient partitioned lattice porous structure implants, characterized in that, Includes the following steps: S1. Obtain the target's macroscopic shape and internal porosity gradient distribution requirements; S2. Within the three-dimensional space defined by the macroscopic outline, generate a set of discrete voxel regions that conform to the gradient distribution according to the porosity gradient distribution requirements. S3. In each voxel region, according to the performance requirements of the region, the key points are connected to form lines to form different types of linear lattice structures. S4. Discretize the line segments in the formed linear lattice structure to form a set of points distributed according to the lattice. S5. Based on the performance requirements of different regions in the voxel region, set different radius sizes, and use the points obtained in step S4 as the center of the sphere to form a sphere, transforming the original set of points into a set of spheres. S6. For the sphere assembly, the gaps between the original spheres are smoothed through a smoothing process to form a continuous rod structure, ultimately forming a porous implant with a gradient distribution.

2. The method for modeling a gradient partitioned lattice porous structure implant according to claim 1, characterized in that, Step S3 is as follows: Based on the mechanical, thermal, or permeation performance requirements of the voxel region, select the corresponding linear lattice topology type from the preset linear lattice structure library; the linear lattice topology types include, but are not limited to, body-centered cubic, face-centered cubic, diamond structure, or combinations thereof.

3. The method for modeling a gradient partitioned lattice porous structure implant according to claim 1, characterized in that, In step S4, the line segments in the formed linear lattice structure are discretized, specifically as follows: The three-dimensional space is divided into multiple voxel regions, and each voxel region is assigned a target porosity attribute. The size and / or spatial arrangement density of each voxel region are configured according to the porosity gradient distribution requirements, so that the voxel regions corresponding to high porosity target regions are larger or sparser, and the voxel regions corresponding to low porosity target regions are smaller or denser.

4. The method for modeling a gradient partitioned lattice porous structure implant according to claim 1, characterized in that, In step S6, the specific methods for smoothing include Laplace smoothing with volume conservation constraints and moving least squares method. Smoothing processes fit two adjacent surfaces with large curvature differences into surfaces with uniform curvature distribution.

5. A gradient-partitioned lattice porous implant, characterized in that, It was modeled and fabricated using the gradient partitioned lattice porous structure implant modeling method described in any one of claims 1-4.

6. A modeling system for gradient partitioned lattice porous structure implants, characterized in that, The system applies the gradient partitioned lattice porous structure implantation modeling method according to any one of claims 1-4. The system includes a macroscopic outline acquisition module, a voxelization module, a linear lattice selection module, a line segment discretization module, a point-to-sphere transformation module, and a sphere smoothing module. The macroscopic shape contour acquisition module is used to acquire the target macroscopic shape contour and the internal porosity gradient distribution requirements; The voxelization module is used to generate a set of discrete voxel regions that conform to the gradient distribution in the three-dimensional space defined by the macroscopic outline, based on the porosity gradient distribution requirements. The linear lattice selection module is used to connect key points into lines to form different types of linear lattice structures based on the performance requirements of each voxel region. The line segment discretization module is used to discretize the line segments in the formed linear lattice structure to form a set of points distributed according to the lattice. The point-to-sphere conversion module is used to set different radius sizes according to the performance requirements of different regions in the voxel area, and form a sphere with the obtained point as the center, thus transforming the original set of points into a set of spheres. The sphere smoothing module is used to smooth the gaps between the original spheres through smoothing treatment, forming a continuous rod structure, and finally forming a porous implant with a gradient distribution.

7. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory that is communicatively connected to at least one processor; wherein, The memory stores computer program instructions that can be executed by at least one processor, such that the at least one processor can perform the gradient partitioned lattice porous structure implant modeling method as described in any one of claims 1-4.

8. A computer-readable storage medium storing a program, characterized in that, When the program is executed by the processor, it implements the gradient partitioned lattice porous structure implant modeling method according to any one of claims 1-4.

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