Biological material mechanical testing method and system based on finite element analysis

Abstract

The invention discloses a biological material mechanical testing method and system based on finite element analysis, and is used for the technical field of data processing method.The biological material mechanical testing method comprises the following steps that a three-dimensional geometric model of a biological material is constructed, the three-dimensional geometric model of the biological material is imported into finite element analysis software, and the finite element analysis software is used for analyzing the three-dimensional geometric model of the biological material; grid division is executed, and material attributes and boundary conditions are set; finite element simulation is operated according to the set material attributes and boundary conditions, stress and strain distribution is analyzed, and grid division and the material attributes are adjusted based on the analysis result; and the adjusted grid division and material attributes are simulated again, a simulation result is verified through experimental data, and meanwhile material composition is adjusted based on the simulation result and a verification result. According to the method, each step can be completed according to preset time and quality standards, and deep understanding of the simulation process and prevention of potential problems are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of material testing, and in particular, to a biomaterial mechanical testing method and system based on finite element analysis. Background Art

[0002] Biomaterials are any substance, surface or structure that comes into contact with biological systems in medical and biological applications. These materials are designed to interact with biological systems and are used in medical devices, tissue engineering, drug delivery systems, etc. Biomaterials can be metals, ceramics, plastics, composites or materials of natural origin.

[0003] The main reasons for mechanical testing of biomaterials include: ensuring that the material can withstand the forces and pressures generated by daily activities in the body, preventing implant failure due to material fatigue or fracture, testing the mechanical properties of the material to ensure its suitability for specific medical applications, such as whether it has sufficient elasticity and hardness to meet the needs of tissue engineering, and predicting and optimizing the performance of the material by simulating the stress and strain in the actual in vivo environment, such as its performance under repeated loads for a long time in the body.

[0004] Traditional finite element simulation methods may not fully optimize computing resources, resulting in a large amount of computing time and hardware resources consumed when performing large-scale or complex simulations, which is inefficient. When dealing with complex material behaviors, such as the response of nonlinear and heterogeneous materials, existing technologies may not be able to accurately predict the performance of materials in actual applications. There is often a large deviation between traditional simulation results and experimental data, making it difficult to directly apply them to actual material design and optimization.

[0005] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0006] In order to overcome the above problems, the present invention aims to propose a biomaterial mechanical testing method and system based on finite element analysis, with the aim of solving the problem that the existing technology may not be able to accurately predict the performance of materials in actual applications, and there is often a large deviation between traditional simulation results and experimental data, making it difficult to directly apply them to actual material design and optimization.

[0007] To this end, the specific technical solution adopted by the present invention is as follows: According to one aspect of the present invention, a biomaterial mechanical testing method based on finite element analysis is provided, and the biomaterial mechanical testing method comprises the following steps: S1. construct a three-dimensional geometric model of the biomaterial, import the three-dimensional geometric model of the biomaterial into the finite element analysis software, perform meshing, and set material properties and boundary conditions; S2. Run finite element simulation according to the set material properties and boundary conditions, analyze stress and strain distribution, and adjust meshing and material properties based on the analysis results; S3. Re-simulate the adjusted mesh division and material properties, verify the simulation results through experimental data, and adjust the material composition based on the simulation results and verification results.

[0008] Optionally, constructing a three-dimensional geometric model of the biomaterial, importing the three-dimensional geometric model of the biomaterial into finite element analysis software, performing meshing, and setting material properties and boundary conditions includes the following steps: S11. constructing a three-dimensional geometric model of the biomaterial according to the actual structure and size of the biomaterial using a pre-configured three-dimensional modeling tool; S12, converting the constructed three-dimensional geometric model into a format of finite element analysis software, and importing the model into the finite element analysis software; S13, meshing the imported three-dimensional geometric model in finite element analysis software; S14. Based on the meshing results, define the material properties of the model and set the boundary conditions of the 3D geometric model according to the expected usage scenario.

[0009] Optionally, meshing the imported three-dimensional geometric model in the finite element analysis software includes the following steps: S131. Select the mesh type according to the complexity of the 3D geometric model and the analysis requirements; S132, based on the grid type, setting the size and density of the grid; S133, based on the set mesh size and density, manually create a mesh using a mesh generation tool of the finite element analysis software, and check the quality of the mesh; S134. Filter meshes that do not meet the preset quality standards and check whether there are unconnected elements, isolated nodes, or overly distorted elements in the mesh.

[0010] Optionally, based on the meshing result, defining the material properties of the model and setting the boundary conditions of the three-dimensional geometric model according to the expected usage scenario includes the following steps: S141. Define the corresponding material properties according to the physical and chemical properties of biomaterials; S142, setting corresponding loading conditions and support constraints according to the specific application scenario of the simulation; S143, setting boundary conditions including fixed boundaries and moving boundaries in the three-dimensional geometric model; S144. Input the selected material properties and boundary conditions into the finite element software.

[0011] Optionally, running a finite element simulation according to the set material properties and boundary conditions, analyzing the stress and strain distribution, and adjusting the meshing and material properties based on the analysis results includes the following steps: S21. Using the preset material properties and boundary conditions, run the finite element simulation and obtain stress and strain distribution data; S22. Evaluate the stress and strain distribution generated by the simulation, and automatically adjust the grid density using a multi-scale simulation algorithm based on the stress and strain distribution.

[0012] Optionally, evaluating the stress and strain distributions generated by the simulation and automatically adjusting the mesh density using a multiscale simulation algorithm based on the stress and strain distributions comprises the following steps: S211. Collect stress and strain data using finite element software and visualize concentrated areas through contour plots and heat maps to identify high stress and strain areas; S212. Setting the interaction parameters between micro and macro scales in finite element analysis software; S213. Perform multi-scale simulations, focusing on key areas at the micro scale and providing overall conditions and boundaries at the macro scale. Analyze the simulation results at the same time and optimize the mesh density, material properties, and boundary conditions based on the analysis results.

[0013] Optionally, performing multi-scale simulation, with the microscale focusing on key areas and the macroscale providing overall conditions and boundaries, analyzing the simulation results simultaneously, and optimizing the mesh density, material properties, and boundary conditions based on the analysis results includes the following steps: S2131. Set the interaction parameters between macro and micro scales in the multiscale simulation software, and set the mesh size of the macro scale; S2133. Mark the identified high stress and strain regions in the multi-scale simulation software and set a micro-scale grid for the high stress and strain regions; S2134. Perform multi-scale simulations, using the macro scale to provide overall conditions and boundaries, and the micro scale to focus on key areas of analysis; S2135. Collect simulation data from macro and micro scales and evaluate the overall response of biomaterials; S2136. Based on the simulation results, optimize the mesh density in key areas and adjust the material properties and boundary conditions.

[0014] Optionally, collecting simulation data obtained from macroscale and microscale and evaluating the overall response of the biomaterial comprises the following steps: S21351. Extract key macro-scale and micro-scale data from simulation software; S21352. Preprocessing the collected macro-scale data and micro-scale data; S21353. Display data using graphical tools to display macroscale data and regions of microscale data, and analyze and evaluate the overall and local properties of biomaterials; S21354. Compare simulation results with expected performance and evaluate the overall response of the biomaterial.

[0015] Optionally, resimulating the adjusted meshing and material properties, and verifying the simulation results through experimental data, and adjusting the material composition based on the simulation results and the verification results include the following steps: S31, obtain the analysis results, adjust the mesh density and material properties, and rerun the multiscale simulation; S32. Collect experimental data of biological materials, compare the experimental data with simulation data, evaluate the differences between the experimental data and simulation data, and identify deviations in the simulation; S33, adjusting the composition of the biomaterial based on the comparative analysis of the simulation and experimental results, and recalculating the effect of the adjusted material properties on the simulation; S34. Repeat steps S32-S33 until the simulation results match the experimental data, ensuring that the performance of the biomaterial reaches the optimal state.

[0016] According to another aspect of the present invention, there is also provided a biomaterial mechanical testing system based on finite element analysis, the biomaterial mechanical testing system comprising: a three-dimensional geometric model building module, a finite element simulation module and an iterative optimization and verification module; A three-dimensional geometric model building module is used to build a three-dimensional geometric model of the biomaterial, import the three-dimensional geometric model of the biomaterial into the finite element analysis software, perform meshing, and set material properties and boundary conditions; Finite element simulation module, which is used to run finite element simulation according to the set material properties and boundary conditions, analyze stress and strain distribution, and adjust meshing and material properties based on the analysis results; The iterative optimization and verification module is used to re-simulate the adjusted mesh division and material properties, verify the simulation results through experimental data, and adjust the material composition based on the simulation results and verification results.

[0017] Compared with the prior art, this application has the following beneficial effects: 1. The present invention adjusts the grid density while taking into account the computational efficiency while ensuring the simulation accuracy, provides a flexible method for optimizing the simulation performance, helps monitor the project progress, and ensures that each step can be completed according to the predetermined time and quality standards; by providing a technical description, it enhances the professionals' in-depth understanding of the simulation process and the prevention of potential problems.

[0018] 2. The present invention ensures that the performance of biomaterials under actual conditions is analyzed through scientific methods, providing data support for material design and improvement, being able to observe material behavior at different scales, more accurately simulate and predict the response of materials at the micro and macro levels, automatically adjusting the grid density according to the concentrated areas of stress and strain, and enhancing the local analysis capability of the model, thereby improving the accuracy of the overall simulation.

[0019] 3. The present invention verifies the accuracy of the simulation results by comparing with the experimental data, promptly discovers and corrects the deviations in the simulation, and gradually adjusts and optimizes the material composition based on repeated simulation and experimental comparison to achieve continuous improvement in material design. Clearly defined steps and detailed processes ensure the continuity of the work, making the entire process more efficient and orderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above characteristics, features and advantages of the present invention and their implementation methods and methods will become more clearly understood in conjunction with the following description of the embodiments, which are described in detail in conjunction with the accompanying drawings. Herein, a schematic diagram is shown: Figure 1 is a flow chart of a biomaterial mechanical testing method based on finite element analysis according to an embodiment of the present invention; Figure 2 The schematic diagram of a biomaterial mechanical testing system based on finite element analysis according to an embodiment of the present invention is shown in FIG.

[0021] In the figure: 1. 3D geometric model building module; 2. Finite element simulation module; 3. Iterative optimization and verification module. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] According to an embodiment of the present invention, a biomaterial mechanical testing method and system based on finite element analysis are provided.

[0024] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, according to one embodiment of the present invention, a biomaterial mechanical testing method based on finite element analysis is provided, and the biomaterial mechanical testing method comprises the following steps: S1. Build a three-dimensional geometric model of the biomaterial, import the three-dimensional geometric model of the biomaterial into the finite element analysis software, perform meshing, and set material properties and boundary conditions.

[0025] Preferably, constructing a three-dimensional geometric model of the biomaterial, importing the three-dimensional geometric model of the biomaterial into finite element analysis software, performing meshing, and setting material properties and boundary conditions comprises the following steps: S11. constructing a three-dimensional geometric model of the biomaterial according to the actual structure and size of the biomaterial using a pre-configured three-dimensional modeling tool; In addition, it should be noted that the characteristics of biomaterials are analyzed as follows: 1. Heterogeneity: Biomaterials usually have complex internal structures and may include multiple components (such as proteins, minerals, cell structures, etc.). Before modeling, the internal heterogeneity of the material needs to be analyzed in detail by microscopic techniques (such as optical microscopy, scanning electron microscopy, or CT scanning).

[0026] 2. Scale complexity: The size of biomaterials may span multiple scales, from microscopic (such as cellular level) to macroscopic (such as tissue or organ level), and appropriate modeling strategies need to be selected for different scales.

[0027] 3. Mechanical properties: Since biomaterials often exhibit nonlinear, anisotropic, and viscoelastic mechanical behaviors, these properties may need to be expressed in the model through specific material parameters.

[0028] The construction of the 3D geometric model is described as follows: 1. Modeling based on actual structure: 1) For complex internal structures (such as porosity, fiber orientation, etc.), voxel-based or surface mesh-based methods can be used to create models.

[0029] 2) Pre-configured modeling tools (such as ANSYS, SolidWorks, COMSOL, Blender, etc.) can directly import the above data through plug-ins.

[0030] 2. Parametric modeling: Combining the geometric characteristics of biomaterials, parametric design methods are used to enable the model to be quickly adjusted to adapt to the characteristics of different materials or experimental requirements.

[0031] 3. Refined processing: When modeling, the accuracy of the microstructure (such as extracellular matrix and pore morphology) is adjusted to ensure that the model has biological and physical significance.

[0032] The simulation of the biomaterial properties is described as follows: 1. Mechanical simulation: Finite Element Analysis (FEA) is used to simulate the mechanical behavior of materials under stress and strain conditions.

[0033] 2. Fluid / mass transfer characteristics: Based on the porosity or permeability of biomaterials, the CFD (computational fluid dynamics) method is used to simulate the permeation and diffusion behavior of the fluid.

[0034] 3. Biocompatibility assessment: Combined with models to predict the biocompatibility of materials (such as cell adhesion and proliferation behavior) to guide design and optimization.

[0035] S12, converting the constructed three-dimensional geometric model into a format of finite element analysis software, and importing the model into the finite element analysis software; In addition, the examples are as follows: 1. Orthopedic implant analysis: Export the designed 3D model of orthopedic implants (such as hip prosthesis) into STL format and import it into ANSYS for mechanical analysis to evaluate its stress conditions in the human body.

[0036] 2. Bioscaffold analysis: The porous bioscaffold model was exported to STEP format and imported into ABAQUS for compression test simulation to analyze its mechanical properties.

[0037] In addition, it should be noted that finite element analysis software (Finite Element Analysis Software) is a type of software tool used to analyze and solve complex engineering problems. It converts continuous problems into discrete units through discretization methods for calculation and simulation.

[0038] Choose the appropriate software based on the physics and complexity of the specific problem. For example, COMSOL is preferred for multi-physics coupling problems, and ABAQUS is preferred for nonlinear contact problems.

[0039] S13, meshing the imported three-dimensional geometric model in finite element analysis software; S14. Based on the meshing results, define the material properties of the model and set the boundary conditions of the 3D geometric model according to the expected usage scenario.

[0040] Preferably, meshing the imported three-dimensional geometric model in the finite element analysis software comprises the following steps: S131. Select the mesh type according to the complexity of the 3D geometric model and the analysis requirements; S132, based on the grid type, setting the size and density of the grid; S133, based on the set mesh size and density, manually create a mesh using a mesh generation tool of the finite element analysis software, and check the quality of the mesh; S134. Filter meshes that do not meet the preset quality standards and check whether there are unconnected elements, isolated nodes, or overly distorted elements in the mesh.

[0041] Preferably, based on the meshing result, defining the material properties of the model and setting the boundary conditions of the three-dimensional geometric model according to the expected usage scenario comprises the following steps: S141. Define the corresponding material properties according to the physical and chemical properties of biomaterials; S142, setting corresponding loading conditions and support constraints according to the specific application scenario of the simulation; S143, setting boundary conditions including fixed boundaries and moving boundaries in the three-dimensional geometric model; S144. Input the selected material properties and boundary conditions into the finite element software.

[0042] It should be explained that 3D modeling tools (such as SolidWorks, AutoCAD or CATIA) are used to create 3D geometric models of biomaterials. First, the actual structure and size data of the biomaterials need to be obtained, which may come from experimental measurements, drawings or other data sources. Modeling tools allow users to build precise geometric shapes, including volumes, surface features and details, in a virtual environment to match the geometric features of the actual material, and export the created 3D geometric model to a file format supported by finite element analysis software, such as STEP, IGES or Parasolid. Different software usually use different file formats, and it is key to ensure that the exported model format is compatible with the finite element software. Meshing is the process of decomposing the 3D geometric model into smaller units so that finite element analysis can be calculated on these units. The type and density of the unit affect the accuracy and computational efficiency of the simulation. After the meshing is completed, it is necessary to assign corresponding material properties (such as elastic modulus, Poisson's ratio, etc.) to each mesh unit, and set the boundary conditions of the model to simulate the loads and constraints in the actual use environment. Select a mesh type that is appropriate for the complexity of the 3D geometric model; for example, for complex geometries, a finer mesh, such as a tetrahedral mesh, may be required, while for simple geometries, a hexahedral mesh may be more appropriate. Set the size and density of the mesh to ensure that the mesh can effectively capture the key features and load distribution in the model. After creating the mesh, check the quality of the mesh to ensure that it meets the requirements of the analysis; this includes checking the shape, size, and distribution of the mesh elements. Identify and correct problems in the mesh, such as unconnected elements, isolated nodes, or overly distorted elements, which may affect the accuracy of the simulation. Assign appropriate material properties to each region in the model, which should be based on the actual physical and chemical properties of the biomaterial. Set loading conditions (such as force, pressure) and support constraints (such as fixed boundaries, sliding constraints) in the simulation to simulate the actual working conditions in use. Set specific boundary conditions in the model, such as fixed boundaries and moving boundaries, to simulate the constraints and movement of the material in actual use. Enter the material properties and boundary conditions into the finite element analysis software to complete the model setup and prepare for simulation.

[0043] S2. Run finite element simulation according to the set material properties and boundary conditions, analyze the stress and strain distribution, and adjust the meshing and material properties based on the analysis results.

[0044] Preferably, running a finite element simulation according to the set material properties and boundary conditions, analyzing the stress and strain distribution, and adjusting the meshing and material properties based on the analysis results comprises the following steps: S21. Using the preset material properties and boundary conditions, run the finite element simulation and obtain stress and strain distribution data; S22. Evaluate the stress and strain distribution generated by the simulation, and automatically adjust the grid density using a multi-scale simulation algorithm based on the stress and strain distribution.

[0045] Preferably, evaluating the stress and strain distribution generated by the simulation and automatically adjusting the grid density using a multi-scale simulation algorithm according to the distribution of the stress and strain comprises the following steps: S211. Collect stress and strain data using finite element software and visualize concentrated areas through contour plots and heat maps to identify high stress and strain areas; S212. Setting the interaction parameters between micro and macro scales in finite element analysis software; S213. Perform multi-scale simulations, focusing on key areas at the micro scale and providing overall conditions and boundaries at the macro scale. Analyze the simulation results at the same time and optimize the mesh density, material properties, and boundary conditions based on the analysis results.

[0046] Preferably, performing multi-scale simulation, focusing on key areas at the micro scale and providing overall conditions and boundaries at the macro scale, analyzing the simulation results at the same time, and optimizing the mesh density, material properties and boundary conditions based on the analysis results includes the following steps: S2131. Set the interaction parameters between macro and micro scales in the multiscale simulation software, and set the mesh size of the macro scale; S2133. Mark the identified high stress and strain regions in the multi-scale simulation software and set a micro-scale grid for the high stress and strain regions; S2134. Perform multi-scale simulations, using the macro scale to provide overall conditions and boundaries, and the micro scale to focus on key areas of analysis; S2135. Collect simulation data from macro and micro scales and evaluate the overall response of biomaterials; S2136. Based on the simulation results, optimize the mesh density in key areas and adjust the material properties and boundary conditions.

[0047] Preferably, collecting simulation data obtained from macroscale and microscale and evaluating the overall response of the biomaterial comprises the following steps: S21351. Extract key macro-scale and micro-scale data from simulation software; S21352. Preprocessing the collected macro-scale data and micro-scale data; S21353. Display data using graphical tools to display macroscale data and regions of microscale data, and analyze and evaluate the overall and local properties of biomaterials; S21354. Compare simulation results with expected performance and evaluate the overall response of the biomaterial.

[0048] It should be explained that after setting the material properties and boundary conditions, the finite element simulation is run to obtain the stress and strain distribution of the biomaterial in the simulated environment; the data is the basis for evaluating the performance of the material under actual use conditions, and the stress and strain distribution in the simulation results is analyzed, especially in areas with high stress and strain concentration; it helps to optimize the mesh density of the model to improve the accuracy and efficiency of the simulation. In the finite element software, built-in data visualization tools (such as ANSYS's CMBLOCK or Abaqus's Viewer) are used to generate contour maps and heat maps of stress and strain, which helps to intuitively identify and analyze the model. The key areas of a multiscale simulation are to configure a macro-scale model and a detailed micro-scale model in the software, and set how to transfer stress, strain and other related physical quantities between the two. This usually involves setting some advanced parameters, such as material heterogeneity considerations and coupling methods between scales. The macro-scale and micro-scale simulations are run simultaneously in the multiscale simulation software to ensure that the results of the two can verify and complement each other. The results of the macro-simulation are used as input conditions for the micro-simulation, and a more detailed analysis is performed at the micro-scale. According to the results at the micro- and macro-scales, the mesh density, material properties and boundary conditions are adjusted to achieve the best simulation effect and accuracy.

[0049] S3. Re-simulate the adjusted mesh division and material properties, verify the simulation results through experimental data, and adjust the material composition based on the simulation results and verification results.

[0050] Preferably, resimulating the adjusted meshing and material properties, verifying the simulation results through experimental data, and adjusting the material composition based on the simulation results and the verification results include the following steps: S31, obtain the analysis results, adjust the mesh density and material properties, and rerun the multiscale simulation; S32. Collect experimental data of biological materials, compare the experimental data with simulation data, evaluate the differences between the experimental data and simulation data, and identify deviations in the simulation; S33, adjusting the composition of the biomaterial based on the comparative analysis of the simulation and experimental results, and recalculating the effect of the adjusted material properties on the simulation; S34. Repeat steps S32-S33 until the simulation results match the experimental data, ensuring that the performance of the biomaterial reaches the optimal state.

[0051] According to another embodiment of the present invention, Figure 2 As shown, a biomaterial mechanical testing system based on finite element analysis is also provided, and the biomaterial mechanical testing system includes: a three-dimensional geometric model building module 1, a finite element simulation module 2 and an iterative optimization and verification module 3; The three-dimensional geometric model building module 1 is used to build a three-dimensional geometric model of the biomaterial, import the three-dimensional geometric model of the biomaterial into the finite element analysis software, perform meshing, and set material properties and boundary conditions; Finite element simulation module 2, used to run finite element simulation according to the set material properties and boundary conditions, analyze stress and strain distribution, and adjust meshing and material properties based on the analysis results; The iterative optimization and verification module 3 is used to re-simulate the adjusted mesh division and material properties, verify the simulation results through experimental data, and adjust the material composition based on the simulation results and verification results.

[0052] In summary, with the help of the above technical solutions of the present invention, the adjustment of the grid density of the present invention reflects that the computational efficiency is taken into account while ensuring the accuracy of the simulation, and provides a flexible method for optimizing the simulation performance, which is helpful to monitor the progress of the project and ensure that each step can be completed according to the predetermined time and quality standards; by providing a technical description, the deep understanding of the simulation process and the prevention of potential problems by professionals are enhanced; the present invention ensures that the performance of biomaterials under actual conditions is analyzed by scientific methods, and data support is provided for material design and improvement, and the material behavior can be observed at different scales, and the response of materials at the micro and macro levels can be more accurately simulated and predicted, and the grid density is automatically adjusted according to the concentrated area of ​​stress and strain, and the local analysis ability of the model is enhanced, thereby improving the accuracy of the overall simulation; the present invention verifies the accuracy of the simulation results by comparing with the experimental data, timely discovers and corrects the deviations in the simulation, and gradually adjusts and optimizes the material composition based on repeated simulation and experimental comparisons to achieve continuous improvement of material design, and clearly defined steps and detailed processes ensure the continuity of the work, making the whole process more efficient and orderly.

[0053] Although the present invention has been disclosed as above with preferred embodiments, the embodiments are merely examples for the convenience of description and are not intended to limit the present invention. Those skilled in the art may make several changes and modifications without departing from the spirit and scope of the present invention. The scope of protection claimed by the present invention shall be based on the claims.

Claims

1. A biomaterial mechanical testing method based on finite element analysis, characterized in that: The biomaterial mechanical testing method comprises the following steps: S1. construct a three-dimensional geometric model of the biomaterial, import the three-dimensional geometric model of the biomaterial into the finite element analysis software, perform meshing, and set material properties and boundary conditions; S2. Run finite element simulation according to the set material properties and boundary conditions, analyze stress and strain distribution, and adjust meshing and material properties based on the analysis results; S3. Resimulate the adjusted mesh division and material properties, verify the simulation results through experimental data, and adjust the material composition based on the simulation results and verification results; The steps of constructing a three-dimensional geometric model of the biomaterial, importing the three-dimensional geometric model of the biomaterial into finite element analysis software, performing meshing, and setting material properties and boundary conditions include the following steps: S11. constructing a three-dimensional geometric model of the biomaterial according to the actual structure and size of the biomaterial using a pre-configured three-dimensional modeling tool; S12, converting the constructed three-dimensional geometric model into a format of finite element analysis software, and importing the model into the finite element analysis software; S13, meshing the imported three-dimensional geometric model in finite element analysis software; S14. Based on the meshing results, define the material properties of the model and set the boundary conditions of the 3D geometric model according to the expected usage scenario; The meshing of the imported three-dimensional geometric model in the finite element analysis software comprises the following steps: S131. Select the mesh type according to the complexity of the 3D geometric model and the analysis requirements; S132, based on the grid type, setting the size and density of the grid; S133, based on the set mesh size and density, manually create a mesh using a mesh generation tool of the finite element analysis software, and check the quality of the mesh; S134, screening out meshes that do not meet preset quality standards, and checking whether there are unconnected elements, isolated nodes, or overly distorted elements in the meshes; Defining the material properties of the model based on the meshing result and setting the boundary conditions of the three-dimensional geometric model according to the expected usage scenario includes the following steps: S141. Define the corresponding material properties according to the physical and chemical properties of biomaterials; S142, setting corresponding loading conditions and support constraints according to the specific application scenario of the simulation; S143, setting boundary conditions including fixed boundaries and moving boundaries in the three-dimensional geometric model; S144. Input the selected material properties and boundary conditions into the finite element software.

2. A biomaterial mechanical testing method based on finite element analysis according to claim 1, characterized in that: The method of running a finite element simulation according to the set material properties and boundary conditions, analyzing stress and strain distribution, and adjusting meshing and material properties based on the analysis results includes the following steps: S21. Using the preset material properties and boundary conditions, run the finite element simulation and obtain stress and strain distribution data; S22. Evaluate the stress and strain distribution generated by the simulation, and automatically adjust the grid density using a multi-scale simulation algorithm based on the stress and strain distribution.

3. A biomaterial mechanical testing method based on finite element analysis according to claim 2, characterized in that: The stress and strain distribution generated by the evaluation simulation and automatically adjusting the grid density using a multi-scale simulation algorithm according to the stress and strain distribution include the following steps: S211. Collect stress and strain data using finite element software and visualize concentrated areas through contour plots and heat maps to identify high stress and strain areas; S212. Setting the interaction parameters between micro and macro scales in finite element analysis software; S213. Perform multi-scale simulations, focusing on key areas at the micro scale and providing overall conditions and boundaries at the macro scale. Analyze the simulation results at the same time and optimize the mesh density, material properties, and boundary conditions based on the analysis results.

4. A biomaterial mechanical testing method based on finite element analysis according to claim 3, characterized in that: The multi-scale simulation is performed, the micro-scale focuses on the key area, the macro-scale provides the overall conditions and boundaries, and the simulation results are analyzed at the same time, and the mesh density, material properties and boundary conditions are optimized based on the analysis results. The steps include: S2131. Set the interaction parameters between macro and micro scales in the multiscale simulation software, and set the mesh size of the macro scale; S2133. Mark the identified high stress and strain regions in the multi-scale simulation software and set a micro-scale grid for the high stress and strain regions; S2134. Perform multi-scale simulations, using the macro scale to provide overall conditions and boundaries, and the micro scale to focus on key areas of analysis; S2135. Collect simulation data from macro and micro scales and evaluate the overall response of biomaterials; S2136. Based on the simulation results, optimize the mesh density in key areas and adjust the material properties and boundary conditions.

5. A biomaterial mechanical testing method based on finite element analysis according to claim 4, characterized in that: The method of collecting simulation data obtained from macro-scale and micro-scale and evaluating the overall response of the biomaterial includes the following steps: S21351. Extract key macro-scale and micro-scale data from simulation software; S21352. Preprocessing the collected macro-scale data and micro-scale data; S21353. Display data using graphical tools to display macroscale data and regions of microscale data, and analyze and evaluate the overall and local properties of biomaterials; S21354. Compare simulation results with expected performance and evaluate the overall response of the biomaterial.

6. The biomaterial mechanical testing method based on finite element analysis according to claim 1, characterized in that: The re-simulating of the adjusted meshing and material properties, verifying the simulation results through experimental data, and adjusting the material composition based on the simulation results and the verification results comprises the following steps: S31, obtain the analysis results, adjust the mesh density and material properties, and rerun the multiscale simulation; S32. Collect experimental data of biological materials, compare the experimental data with simulation data, evaluate the differences between the experimental data and simulation data, and identify deviations in the simulation; S33, adjusting the composition of the biomaterial based on the comparative analysis of the simulation and experimental results, and recalculating the effect of the adjusted material properties on the simulation; S34. Repeat steps S32-S33 until the simulation results match the experimental data, ensuring that the performance of the biomaterial reaches the optimal state.

7. A biomaterial mechanical testing system based on finite element analysis, used to implement the biomaterial mechanical testing method based on finite element analysis according to any one of claims 1 to 6, characterized in that: The biomaterial mechanical testing system includes: a three-dimensional geometric model building module, a finite element simulation module, and an iterative optimization and verification module; A three-dimensional geometric model building module is used to build a three-dimensional geometric model of the biomaterial, import the three-dimensional geometric model of the biomaterial into the finite element analysis software, perform meshing, and set material properties and boundary conditions; Finite element simulation module, which is used to run finite element simulation according to the set material properties and boundary conditions, analyze stress and strain distribution, and adjust meshing and material properties based on the analysis results; The iterative optimization and verification module is used to re-simulate the adjusted mesh division and material properties, verify the simulation results through experimental data, and adjust the material composition based on the simulation results and verification results.

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