Method and device for optimizing the structure of a bone plate

Abstract

The application discloses a kind of structure optimization method and device of bone plate, comprising: the test sample of the bone plate to be optimized is constructed, the first maximum stress data of test sample is obtained by carrying out finite element analysis to the test sample;Parameterized model of the bone plate to be optimized is constructed, and the second maximum stress data of the parameterized model is obtained according to preset modeling parameter, by carrying out finite element analysis to the parameterized model;If the second maximum stress data is less than the first maximum stress data, then the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data are used as optimal variable combination, so as to complete the structure optimization of bone plate;If the second maximum stress data is greater than the first maximum stress data, then the preset modeling parameter is corrected, and the parameterized model of the preset bone plate is reconstructed.The application solves the technical problem that the bone plate in the prior art does not combine the strength deficiency appeared under the condition of actual preparation error.

Description

Technical Field

[0001] This invention relates to the field of medical devices, and in particular to a method and apparatus for optimizing the structure of a bone plate. Background Technology

[0002] Traditional internal fixation implant biomechanical systems study the biomechanical system between the bone plate, screws, and bone tissue. The bone plate typically has several screw holes, which interact with the screws to compress and load the screws, transferring some load between bone fragments. In numerous surgical cases, the failure of internal fixation implant systems mainly stems from fractures at the screw holes of the bone plate, fractures at the contact points between the screw and the bone plate, and screw loosening. In most cases of internal fixation of high-stress bones, implant fractures almost always occur at the screw holes of the bone plate closest to the fracture ends. This is because the circular design of the screw holes at these locations weakens the structural strength. Extensive finite element analysis and real-world case studies show that the screw holes closest to the fracture ends are often stress concentration points. Ordinary square bone plates often fail to conform to the patient's bone, requiring micro or even large-scale shaping during surgery. However, their high structural rigidity limits their ability to be shaped effectively. Reconstructed bone plates, on the other hand, consist of a series of orderly arranged rings. A key feature is the deep grooves between the screw holes, allowing for precise bending and deformation of the plate in a spatial plane, thus conforming to the patient's bone. However, these reconstructed bone plates are weaker than ordinary square plates, and their strength decreases further after bending and shaping.

[0003] The reasons for insufficient strength in traditional designs are: 1. Intraoperative bending weakens the strength; 2. Structural optimization design is not tailored to the actual indications for the bone plate application; 3. Structural optimization design is not based on actual standard testing. Existing bone plate structural strength testing methods are based on the four-point bending fatigue test of the industry standard YY / T 1503-2016. However, this testing method differs from the structural strength of bone plate internal fixation systems in actual clinical applications, as it does not take into account the actual conditions of the prepared bone plates. Changes in the fixation position of the bone plate, different indications, and differences in the biomechanical conditions of individual patients can all lead to lower structural strength of the bone plate in actual application compared to the tested structural strength, thus failing to guarantee that the bone plate is not optimally designed in terms of both weight and structural strength.

[0004] Therefore, there is an urgent need for a structure optimization method that can take into account actual preparation errors and avoid excessively low strength in actual preparation. Summary of the Invention

[0005] This invention provides a method and apparatus for optimizing the structure of bone plates, in order to solve the technical problem of insufficient strength in existing bone plates due to the lack of consideration for actual manufacturing errors.

[0006] To address the aforementioned technical problems, embodiments of the present invention provide a method for optimizing the structure of a bone plate, comprising:

[0007] A test specimen of the bone plate to be optimized is constructed, and finite element analysis is performed on the test specimen to obtain the first maximum stress data of the test specimen;

[0008] A parametric model of the bone plate to be optimized is constructed, and a finite element analysis is performed on the parametric model according to the preset modeling parameters to obtain the second maximum stress data of the parametric model; wherein, the preset modeling parameters include the preset thickness distribution variable and plate thickness variable of the bone plate;

[0009] If the second maximum stress data is less than the first maximum stress data, then the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data are used as the optimal variable combination to complete the structural optimization of the butt joint plate.

[0010] If the second maximum stress data is greater than the first maximum stress data, the preset modeling parameters are corrected and the parameterized model of the preset bone plate is reconstructed until there is a second maximum stress data corresponding to the preset modeling parameters that is less than the first maximum stress data.

[0011] It is understood that this invention constructs a test sample and a parametric model of a pre-defined bone plate, and then performs finite element analysis to obtain the corresponding first and second maximum stress data. When the second maximum stress data is less than the first maximum stress data, the pre-defined modeling parameters corresponding to the second maximum stress data are used as the optimal variable combination. This ensures that the bone plate subsequently prepared can simultaneously meet the range of the pre-defined modeling parameters and the actual stress data, avoiding insufficient strength due to the bone plate not taking into account actual preparation errors. At the same time, the parametric model is re-corrected and remodeled for cases where the second maximum stress data is greater than the first maximum stress data, further reducing the error between the parametric model and the actual preparation. By determining the thickness distribution variables and plate thickness variables of the bone plate, it is ensured that the bone plate does not need to adopt the existing structure with uniform and constant thickness. That is, the bone plate can be designed with different thicknesses in high-stress and low-stress regions, thereby ensuring the structural design optimization of the bone plate in terms of both weight and structural strength.

[0012] As a preferred embodiment, after constructing the test specimen of the pre-set bone plate, the following is further included:

[0013] The test specimen was subjected to fatigue testing;

[0014] If the fatigue test results of the test specimen do not meet the preset qualification conditions, the structural parameters of the preset bone plate are modified, and the test specimen of the modified preset bone plate is reconstructed to conduct fatigue testing.

[0015] Understandably, by conducting fatigue tests on the test specimens, the constructed test specimens can meet the most basic stress data requirements. This further ensures that the subsequent construction of the parametric model meets the minimum stress data requirements of the test specimens, improving the accuracy and structural strength of the parametric model. At the same time, it reduces the error between the preset modeling parameters corresponding to the parametric model as the optimal variable combination and the actual fabrication.

[0016] As a preferred embodiment, the step of performing finite element analysis on the parametric model according to preset modeling parameters to obtain the second maximum stress data of the parametric model specifically involves:

[0017] Based on the preset modeling parameters, the parametric model is subjected to parametric finite element analysis to obtain the constraint conditions;

[0018] By setting the constraints and using the plate thickness distribution variable and plate thickness variable as variables, and the maximum stress as the objective function, the parametric model is parametrically analyzed to obtain the second maximum stress data of the parametric model.

[0019] It is understandable that by performing parametric finite element analysis on the parametric model, the constraints can be obtained. In the constraints, the relationship between the plate thickness distribution variable and the plate thickness variable as variables and the maximum stress as the objective function can be obtained. By performing parametric analysis on the parametric model, the second maximum stress data corresponding to the parametric model can be accurately obtained. At the same time, by determining the plate thickness distribution variable and the plate thickness variable, the structural design optimization of the butt joint plate in terms of both weight and structural strength can be guaranteed.

[0020] As a preferred embodiment, the constraints include: worst-case fixed location parameters, worst-case indication, and worst-case biomechanical parameters.

[0021] Understandably, the worst-case fixed position parameters, worst-case indications, and worst-case biomechanical parameters in the constraints can ensure the applicability and safety of the bone plate in practical applications and improve the accuracy of structural optimization of the bone plate.

[0022] As a preferred embodiment, after taking the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data as the optimal variable combination, the method further includes:

[0023] Based on the material and structural characteristics of the preset bone plate, the optimal variable combination is modified and iteratively modeled until the third maximum stress data corresponding to the iteratively modeled model is less than the first maximum stress data, and the modified optimal variable combination is output.

[0024] Understandably, after obtaining the optimal combination of variables, the optimal combination of variables is further modified and iteratively modeled by pre-setting the material and structural characteristics of the bone plate. This ensures that the optimal combination of variables meets the standards of practical application, reduces the structural error of the bone plate obtained based on the optimal combination of variables, and further optimizes the existing bone plate to avoid the situation where the strength of the bone plate actually prepared is insufficient.

[0025] Accordingly, the present invention also provides a structural optimization device for bone plates, comprising: a test sample module, a parameterized model module, a first judgment module, and a second judgment module;

[0026] The test specimen module is used to construct a test specimen of a pre-set bone plate, perform finite element analysis on the test specimen, and obtain the first maximum stress data of the test specimen.

[0027] The parametric model module is used to construct a parametric model of a preset bone plate, and to perform finite element analysis on the parametric model according to preset modeling parameters to obtain the second maximum stress data of the parametric model; wherein, the preset modeling parameters include the thickness distribution variable and the plate thickness variable of the preset bone plate;

[0028] The first judgment module is used to use the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data as the optimal variable combination if the second maximum stress data is less than the first maximum stress data, thereby completing the structural optimization of the butt joint plate.

[0029] The second judgment module is used to correct the preset modeling parameters and reconstruct the parameterized model of the preset bone plate if the second maximum stress data is greater than the first maximum stress data, until there is a second maximum stress data corresponding to the preset modeling parameters that is less than the first maximum stress data.

[0030] As a preferred embodiment, the test sample module is further used for:

[0031] The test specimen was subjected to fatigue testing;

[0032] If the fatigue test results of the test specimen do not meet the preset qualification conditions, the structural parameters of the preset bone plate are modified, and the test specimen of the modified preset bone plate is reconstructed to conduct fatigue testing.

[0033] As a preferred embodiment, the step of performing finite element analysis on the parametric model according to preset modeling parameters to obtain the second maximum stress data of the parametric model specifically involves:

[0034] Based on the preset modeling parameters, the parametric model is subjected to parametric finite element analysis to obtain the constraint conditions;

[0035] By setting the constraints and using the plate thickness distribution variable and plate thickness variable as variables, and the maximum stress as the objective function, the parametric model is parametrically analyzed to obtain the second maximum stress data of the parametric model.

[0036] As a preferred embodiment, the constraints include: worst-case fixed location parameters, worst-case indication, and worst-case biomechanical parameters.

[0037] As a preferred embodiment, the first determining module is further configured to:

[0038] Based on the material and structural characteristics of the preset bone plate, the optimal variable combination is modified and iteratively modeled until the third maximum stress data corresponding to the iteratively modeled model is less than the first maximum stress data, and the modified optimal variable combination is output. Attached Figure Description

[0039] Figure 1 : A flowchart illustrating the steps of a method for optimizing the structure of a bone plate according to an embodiment of the present invention;

[0040] Figure 2 : A schematic diagram of the bone plate structure provided in an embodiment of the present invention;

[0041] Figure 3 : A schematic diagram showing the relative positions of the roller and the joint plate in the four-point bending test provided in an embodiment of the present invention;

[0042] Figure 4 : This is a schematic diagram of the bone plate that connects to the outer surface of the mandible, as provided in an embodiment of the present invention;

[0043] Figure 5 : A flowchart illustrating the optimization of the bone plate provided in an embodiment of the present invention;

[0044] Figure 6 This is a structural optimization device for a bone plate provided in an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Example 1

[0047] Please refer to Figure 1 The present invention provides a method for optimizing the structure of a bone plate, comprising the following steps S101-S104:

[0048] S101: Construct a test specimen of the bone plate to be optimized, perform finite element analysis on the test specimen, and obtain the first maximum stress data of the test specimen.

[0049] It should be noted that you should refer to [link / reference]. Figure 2 This is a schematic diagram of the structure of the test sample of the bone plate to be optimized in this embodiment. The middle part of the bone plate is thicker and the two ends are thinner. There are also screw fixing holes (nail holes) in the middle to fix the bone plate at the two ends of the broken bone.

[0050] As a preferred embodiment, after constructing the test specimen of the preset bone plate, the method further includes:

[0051] The test specimen is subjected to fatigue testing; if the fatigue test result of the test specimen does not meet the preset qualification conditions, the structural parameters of the preset bone plate are modified, and the test specimen of the modified preset bone plate is reconstructed, thereby conducting fatigue testing.

[0052] It should be noted that, in this embodiment, exemplarily, the placement and loading method of the specimen in the YY / T 1503-2016 Test Method for Bending Fatigue Properties of Surgical Implant Metal Bone Plates are in accordance with the standards of YY / T 0342-2020 and YY / T 0342-2020 Determination of Bending Strength and Stiffness of Surgical Implant Bone Plates, thereby using the bone plate fatigue data measured by Instron E3000; wherein, the relative positions of the roller and the bone plate in the four-point bending test are as follows: Figure 3 As shown.

[0053] In this embodiment, exemplarily, after fatigue testing of the test specimen and the fatigue test results meeting the preset qualification conditions, finite element analysis is performed on the test specimen. The constraint load of the finite element analysis is set according to the relative position diagram of the roller and the joint plate in the four-point bending test of YY / T 0342-2017, and the maximum stress is 323.27 MPa. This value is used as the comparison value for the maximum stress of the parameterized objective function in the later judgment. The preset qualification conditions are set according to the actual situation. The fatigue test mainly includes continuously cyclically subjecting the test specimen to maximum and minimum loads. For example, the preset qualification condition can be set as the fatigue test passing if no cracks are visible to the naked eye.

[0054] Understandably, by conducting fatigue tests on the test specimens, the constructed test specimens can meet the most basic stress data requirements. This further ensures that the subsequent construction of the parametric model meets the minimum stress data requirements of the test specimens, improves the accuracy of the parametric model optimization results, and also reduces the error between the preset modeling parameters corresponding to the parametric model as the optimal variable combination and the actual fabrication.

[0055] S102: Construct a parametric model of the bone plate to be optimized, and perform finite element analysis on the parametric model according to the preset modeling parameters to obtain the second maximum stress data of the parametric model; wherein, the preset modeling parameters include the preset thickness distribution variable and plate thickness variable of the bone plate.

[0056] Specifically, according to the preset modeling parameters, the parametric model is subjected to parametric finite element analysis to obtain the constraint conditions; the constraint conditions are set, and the plate thickness distribution variable and plate thickness variable are used as variables, and the maximum stress is used as the objective function, thereby performing parametric analysis on the parametric model to obtain the second maximum stress data of the parametric model.

[0057] As a preferred embodiment, the constraints include: worst-case fixed location parameters, worst-case indications, and worst-case biomechanical parameters.

[0058] As another preferred embodiment, it is also necessary to determine the worst-case model of the bone plate, that is, the constraint conditions also include the worst-case model of the bone plate. It is understood that by determining the model of the bone plate, it is possible to further ensure that the second maximum stress data corresponding to the parametric model can be accurately obtained, and to more comprehensively and holistically consider different factors of the bone plate. For example, according to the formula for calculating the bending section modulus of the bone plate, the bone plate with the smallest plate width and the largest aperture is selected as the worst-case model of the selected bone plate. The larger the L-angle of the maxillofacial L-shaped bone plate, the smaller the h in the bending section modulus. Therefore, for the L-angle, a small angle that conforms to the mandibular morphological characteristics of this specific population should be selected. The L-angle range that conforms to the characteristics is 110° to 125°. The formula for calculating the bending section modulus is as follows:

[0059]

[0060] It should be noted that in this embodiment, the influence of different fixation positions on the structural strength of the bone plate is analyzed. Through finite element analysis with multiple modeling parameter settings, and setting the maximum stress of the bone plate as the objective function, a certain range of fixation positions, indications, and biomechanical parameters can be obtained. Within this range, there exists a worst-case fixation position, worst-case indication, and worst-case biomechanical parameters. When the range of preset modeling parameters is finite, these worst-case fixation positions, worst-case indications, and worst-case biomechanical parameters are determined. The preset modeling parameters also include: fixation position variables, plate fixation method variables, plate thickness distribution variables, plate thickness variables, mandibular indication type, and occlusal force loading position. Based on the parametric finite element analysis results, the worst possible fixation position is located at the lower edge of the mandible. However, the location of the lower edge of the mandible is not unique and is related to the direction of the occlusal force F. The worst possible indication is a single complete fracture, and the closer to the condyle, the worse the fracture. Considering that at least three bone screws are required at the condyle, the location of the single complete fracture in the worst possible indication can be determined based on the provided bone plate. The worst possible biomechanical parameter is when the occlusal force is located at the second posterior molar on the healthy side of the mandible.

[0061] It is understandable that by performing parametric finite element analysis on the parametric model, the constraints can be obtained. In the constraints, the relationship between the plate thickness distribution variable and the plate thickness variable as variables and the maximum stress as the objective function can be obtained. By performing parametric analysis on the parametric model, the second maximum stress data corresponding to the parametric model can be accurately obtained. At the same time, by determining the plate thickness distribution variable and the plate thickness variable, the structural design optimization of the butt joint plate in terms of both weight and structural strength can be guaranteed.

[0062] Furthermore, the worst-case fixed position parameters, worst-case indications, and worst-case biomechanical parameters in the constraints can ensure the applicability and safety of the bone plate in practical applications, and improve the accuracy of structural optimization of the bone plate.

[0063] S103: If the second maximum stress data is less than the first maximum stress data, then the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data are used as the optimal variable combination to complete the structural optimization of the butt joint plate.

[0064] For example, please refer to Figure 4 This is a schematic diagram showing the outer surface of the bone plate connecting to the mandible. The bone plate is fixed to the fracture site of the mandible with bone screws, and can maintain the structural stability of the mandible even after downward biting force is applied.

[0065] As a preferred embodiment, after taking the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data as the optimal variable combination, the method further includes:

[0066] Based on the material and structural characteristics of the preset bone plate, the optimal variable combination is modified and iteratively modeled until the third maximum stress data corresponding to the iteratively modeled model is less than the first maximum stress data, and the modified optimal variable combination is output.

[0067] Understandably, after obtaining the optimal combination of variables, the optimal combination of variables is further modified and iteratively modeled by pre-setting the material and structural characteristics of the bone plate. This ensures that the optimal combination of variables meets the standards of practical application, reduces the structural error of the bone plate obtained based on the optimal combination of variables, and further optimizes the existing bone plate to avoid the situation where the strength of the bone plate actually prepared is insufficient.

[0068] S104: If the second maximum stress data is greater than the first maximum stress data, the preset modeling parameters are corrected and the parameterized model of the preset bone plate is reconstructed until there is a second maximum stress data corresponding to the preset modeling parameters that is less than the first maximum stress data.

[0069] As another preferred embodiment, please refer to Figure 5This is a flowchart illustrating the bone plate optimization in this embodiment. First, a test specimen of the bone plate is constructed and subjected to fatigue testing. Finite element analysis is then performed on the fatigue-tested specimen to obtain the first maximum stress data. Simultaneously, a parametric model of the bone plate is constructed, and the worst-case fixation position, worst-case indication, and worst-case biomechanical conditions are determined. Using plate thickness distribution and plate thickness as variables, the second maximum stress data of the bone plate is obtained. It is then determined whether the second maximum stress data is less than the first maximum stress data. If so, the optimal variable combination of plate thickness distribution and plate thickness is corrected; otherwise, the parametric model is reconstructed and analyzed to obtain the second maximum stress data. After obtaining the corrected optimal variable combination, iterative modeling and finite element analysis are performed to obtain the third maximum stress data, which is compared with the first maximum stress data until the third maximum stress data is less than the first maximum stress data. The optimal variable combination corresponding to the third maximum stress is then output, completing the structural optimization of the bone plate thickness distribution and plate thickness.

[0070] Implementing the above embodiments has the following effects:

[0071] Compared to existing technologies, this invention constructs a test sample and a parametric model of a pre-defined bone plate, and then performs finite element analysis to obtain the corresponding first and second maximum stress data. When the second maximum stress data is less than the first maximum stress data, the pre-defined modeling parameters corresponding to the second maximum stress data are used as the optimal variable combination. This ensures that the subsequently prepared bone plate can simultaneously meet the range of the pre-defined modeling parameters and the actual stress data, avoiding insufficient strength due to the bone plate not taking into account actual manufacturing errors. Furthermore, the parametric model is re-corrected and remodeled when the second maximum stress data is greater than the first maximum stress data, further reducing the error between the parametric model and the actual manufacturing. In addition, by determining the thickness distribution variables and plate thickness variables of the bone plate, it is ensured that the bone plate does not need to adopt the existing uniform and constant thickness structure. This allows for the design of different thicknesses in high-stress and low-stress regions, thereby ensuring structural design optimization of the bone plate in terms of both weight and structural strength.

[0072] Furthermore, existing maxillofacial bone plates are either too strong to be easily shaped, or too weak, and the strength of the bone plates is greatly reduced due to shaping during surgery. Optimization design using plate thickness distribution variables and plate thickness variables as parameter variables can effectively solve the above-mentioned shaping problems.

[0073] Example 2

[0074] Accordingly, the present invention also provides a structural optimization device for bone plates, comprising: a test sample module 201, a parameterized model module 202, a first judgment module 203, and a second judgment module 204;

[0075] The test sample module 201 is used to construct a test sample of a preset bone plate, perform finite element analysis on the test sample, and obtain the first maximum stress data of the test sample.

[0076] The parametric model module 202 is used to construct a parametric model of a preset bone plate, and perform finite element analysis on the parametric model according to preset modeling parameters to obtain the second maximum stress data of the parametric model; wherein, the preset modeling parameters include the thickness distribution variable and the plate thickness variable of the preset bone plate;

[0077] The first judgment module 203 is used to, if the second maximum stress data is less than the first maximum stress data, take the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data as the optimal variable combination, thereby completing the structural optimization of the butt joint plate;

[0078] The second judgment module 204 is used to correct the preset modeling parameters and reconstruct the parameterized model of the preset bone plate if the second maximum stress data is greater than the first maximum stress data, until there is a second maximum stress data corresponding to the preset modeling parameters that is less than the first maximum stress data.

[0079] As a preferred embodiment, the test sample module 201 is further configured to:

[0080] The test specimen is subjected to fatigue testing; if the fatigue test result of the test specimen does not meet the preset qualification conditions, the structural parameters of the preset bone plate are modified, and the test specimen of the modified preset bone plate is reconstructed, thereby conducting fatigue testing.

[0081] As a preferred embodiment, the step of performing finite element analysis on the parametric model according to preset modeling parameters to obtain the second maximum stress data of the parametric model specifically involves:

[0082] Based on preset modeling parameters, parametric finite element analysis is performed on the parametric model to obtain constraint conditions; the constraint conditions are set, and plate thickness distribution variables and plate thickness variables are used as variables, with maximum stress as the objective function, thereby performing parametric analysis on the parametric model to obtain the second maximum stress data of the parametric model.

[0083] As a preferred embodiment, the constraints include: worst-case fixed location parameters, worst-case indication, and worst-case biomechanical parameters.

[0084] As a preferred embodiment, the first judgment module 203 is further configured to:

[0085] Based on the material and structural characteristics of the preset bone plate, the optimal variable combination is modified and iteratively modeled until the third maximum stress data corresponding to the iteratively modeled model is less than the first maximum stress data, and the modified optimal variable combination is output.

[0086] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0087] Implementing the above embodiments has the following effects:

[0088] This invention constructs a test sample and a parametric model of a pre-defined bone plate, and then performs finite element analysis to obtain the corresponding first and second maximum stress data. When the second maximum stress data is less than the first maximum stress data, the pre-defined modeling parameters corresponding to the second maximum stress data are used as the optimal variable combination. This ensures that the subsequently prepared bone plate can simultaneously meet the range of the pre-defined modeling parameters and the actual stress data, avoiding insufficient strength due to the bone plate not taking into account actual manufacturing errors. Furthermore, the parametric model is re-corrected and remodeled when the second maximum stress data is greater than the first maximum stress data, further reducing the error between the parametric model and the actual manufacturing. In addition, by determining the thickness distribution variables and plate thickness variables of the bone plate, it is ensured that the bone plate does not need to adopt the existing uniform and constant thickness structure. This allows for the design of different thicknesses in high-stress and low-stress regions, thereby ensuring structural design optimization of the bone plate in terms of both weight and structural strength.

[0089] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for optimizing the structure of a bone plate, characterized in that, include: A test specimen of the bone plate to be optimized is constructed, and finite element analysis is performed on the test specimen to obtain the first maximum stress data of the test specimen; A parametric model of the bone plate to be optimized is constructed, and a parametric finite element analysis is performed on the parametric model according to the preset modeling parameters to obtain the constraint conditions. The constraints are set, and the plate thickness distribution variable and plate thickness variable are used as variables, with the maximum stress as the objective function, to perform parametric analysis on the parametric model and obtain the second maximum stress data of the parametric model. The preset modeling parameters include the preset bone plate thickness distribution variable and plate thickness variable. The constraints include: worst-case fixation location parameters, worst-case indications, and worst-case biomechanical parameters. According to the results of the parametric finite element analysis, the worst-case plate fixation location is at the lower edge of the mandible. The worst-case indication is a single complete fracture, with the condition worsening closer to the condyle. The worst-case biomechanical parameter is when the occlusal force is located at the second posterior molar on the healthy side of the mandible. If the second maximum stress data is less than the first maximum stress data, then the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data are used as the optimal variable combination to complete the structural optimization of the butt joint plate. If the second maximum stress data is greater than the first maximum stress data, the preset modeling parameters are corrected and the parameterized model of the preset bone plate is reconstructed until there is a second maximum stress data corresponding to the preset modeling parameters that is less than the first maximum stress data.

2. The method for optimizing the structure of a bone plate as described in claim 1, characterized in that, After constructing the test specimen of the pre-set bone plate, the following is also included: The test specimen was subjected to fatigue testing; If the fatigue test results of the test specimen do not meet the preset qualification conditions, the structural parameters of the preset bone plate are modified, and the test specimen of the modified preset bone plate is reconstructed to conduct fatigue testing.

3. The method for optimizing the structure of a bone plate as described in claim 1, characterized in that, After taking the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data as the optimal variable combination, the following is also included: Based on the material and structural characteristics of the preset bone plate, the optimal variable combination is modified and iteratively modeled until the third maximum stress data corresponding to the iteratively modeled model is less than the first maximum stress data, and the modified optimal variable combination is output.

4. A structural optimization device for bone plates, characterized in that, include: Test sample module, parameterized model module, first judgment module, and second judgment module; The test specimen module is used to construct a test specimen of a pre-set bone plate, perform finite element analysis on the test specimen, and obtain the first maximum stress data of the test specimen. The parametric model module is used to construct a parametric model of a preset bone plate, and to perform parametric finite element analysis on the parametric model according to preset modeling parameters to obtain constraint conditions. The constraints are set, and the plate thickness distribution variable and plate thickness variable are used as variables, with the maximum stress as the objective function, to perform parametric analysis on the parametric model and obtain the second maximum stress data of the parametric model. The preset modeling parameters include the preset bone plate thickness distribution variable and plate thickness variable. The constraints include: worst-case fixation location parameters, worst-case indications, and worst-case biomechanical parameters. According to the parametric finite element analysis results, the worst-case plate fixation location is at the lower edge of the mandible. The worst-case indication is a single complete fracture, with the condition worsening closer to the condyle. The worst-case biomechanical parameter is when the occlusal force is located at the second posterior molar on the healthy side of the mandible. The first judgment module is used to use the thickness distribution variable and plate thickness variable corresponding to the second maximum stress data as the optimal variable combination if the second maximum stress data is less than the first maximum stress data, thereby completing the structural optimization of the butt joint plate. The second judgment module is used to correct the preset modeling parameters and reconstruct the parameterized model of the preset bone plate if the second maximum stress data is greater than the first maximum stress data, until there is a second maximum stress data corresponding to the preset modeling parameters that is less than the first maximum stress data.

5. The bone plate structure optimization device as described in claim 4, characterized in that, The test sample module is also used for: The test specimen was subjected to fatigue testing; If the fatigue test results of the test specimen do not meet the preset qualification conditions, the structural parameters of the preset bone plate are modified, and the test specimen of the modified preset bone plate is reconstructed to conduct fatigue testing.

6. The bone plate structure optimization device as described in claim 4, characterized in that, The first judgment module is further configured to: Based on the material and structural characteristics of the preset bone plate, the optimal variable combination is modified and iteratively modeled until the third maximum stress data corresponding to the iteratively modeled model is less than the first maximum stress data, and the modified optimal variable combination is output.

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