Guide rail chain stress analysis method, computer equipment, medium and product

Abstract

The invention discloses a guide rail chain stress analysis method, computer equipment, a medium and a product, and relates to the field of stress analysis. Under a preset loading condition, determining the maximum stress value corresponding to each component in the finite element model of the movable guide rail of the chain transmission system; if the target maximum stress value of the target component exceeds the allowable stress value of the material corresponding to the target component, marking a point corresponding to the target maximum stress value as a target stress concentration point; and according to the position coordinate and the stress form of the target stress concentration point, searching a target reinforcement strategy corresponding to the target stress concentration point in a preset structure reinforcement strategy table. By implementing the method, the accuracy of the dynamic guide rail stress analysis of the chain transmission system can be improved.

Description

Technical Field

[0001] The present application relates to the field of stress analysis, and in particular to a guide rail chain stress analysis method, computer equipment, medium and product. Background Art

[0002] In modern industrial production, chain drive systems are widely used in various mechanical equipment due to their high efficiency and compact structure, such as conveying systems, automated production lines, etc. One of the core components of the chain drive system is the moving guide rail, which is used to guide and support the chain to ensure the stability and accuracy of the chain during the transmission process.

[0003] In the related art, the design of the dynamic guide rail of the chain drive system usually adopts empirical formulas or simplified mechanical models to predict and verify its structural performance. During the design process, engineers will select appropriate materials and dimensions according to the expected load conditions to ensure that the dynamic guide rail can withstand the predetermined working pressure.

[0004] Although the preliminary design based on empirical formulas and simplified models can meet general working conditions, these methods are still limited in accuracy and reliability when dealing with complex or irregular loads, especially in industrial applications where the moving guide rails are subjected to uneven or intermittent high loads. This design method may make it difficult to accurately perform stress analysis on the moving guide rails of the chain drive system, making it difficult to determine effective strengthening measures. Summary of the invention

[0005] The present application provides a guide rail chain stress analysis method, computer equipment, medium and product for improving the accuracy of stress analysis of dynamic guide rails of a chain transmission system.

[0006] In a first aspect, the present application provides a stress analysis method for a chain drive system moving guide rail, which is applied to computer equipment, and the method includes: establishing a finite element model of the chain drive system moving guide rail, the finite element model of the chain drive system moving guide rail is used to simulate the mechanical behavior of the chain drive system moving guide rail during actual operation, and the finite element model of the chain drive system moving guide rail includes various components of the chain drive system moving guide rail and the materials corresponding to each component; under preset loading conditions, determining the maximum stress values ​​corresponding to each component in the finite element model of the chain drive system moving guide rail; if the target maximum stress value of the target component exceeds the allowable stress value of the corresponding material of the target component, marking the point corresponding to the target maximum stress value as a target stress concentration point; according to the position coordinates and stress form of the target stress concentration point, searching the target reinforcement strategy corresponding to the target stress concentration point in the preset structural reinforcement strategy table.

[0007] By adopting the above technical solution, the computer equipment establishes a finite element model of the moving guide rail of the chain transmission system to simulate the mechanical behavior of the moving guide rail of the chain transmission system during actual operation, so as to accurately perform stress analysis on the moving guide rail of the chain transmission system when it faces complex or irregular loads. The computer equipment obtains the stress conditions of each component of the finite element model of the moving guide rail of the chain transmission system under preset loading conditions, and identifies stress concentration points based on the stress conditions of each component and the allowable stress of the corresponding materials of each component, thereby providing an accurate basis for structural optimization. This method is more accurate than traditional empirical formulas or simplified models, and can simulate complex actual operating conditions. By matching stress concentration points with preset structural reinforcement strategies, targeted improvement suggestions are put forward, which effectively improves the structural strength and service life of the moving guide rail of the chain transmission system. While improving design efficiency, it can also reduce the risk of failure in actual operation and reduce maintenance costs.

[0008] In combination with some embodiments of the first aspect, in some embodiments, after the step of establishing the finite element model of the chain transmission system moving guide rail, the method further includes: based on the meshing technology in finite element analysis, using a triangular face mesh, meshing the surface of the chain transmission system moving guide rail finite element model to obtain a plurality of tetrahedrons; according to each component in the chain transmission system moving guide rail finite element model, determining a set of tetrahedrons corresponding to each component, the set of tetrahedrons including a plurality of tetrahedrons.

[0009] By adopting the above technical solution, the computer equipment divides the finite element model of the chain drive system moving guide rail into multiple tetrahedrons based on the finite element meshing technology of the triangular surface mesh. This meshing method can better adapt to complex geometric shapes and improve the accuracy of the finite element model of the chain drive system moving guide rail. The computer equipment determines the corresponding tetrahedron set for each component, realizing accurate modeling and analysis of different components. This refined model division makes stress analysis more accurate and can capture local stress concentration phenomena. At the same time, this method can use grids of different densities for different components, optimizing the use of computing resources while ensuring accuracy.

[0010] In combination with some embodiments of the first aspect, in some embodiments, under preset loading conditions, the maximum stress values ​​corresponding to each component in the finite element model of the chain transmission system moving guide rail are determined, specifically including: under the preset loading conditions, obtaining the stress values ​​of the vertices of each tetrahedron in the tetrahedron set corresponding to the component; and using the maximum stress values ​​corresponding to each tetrahedron set as the maximum stress values ​​corresponding to each component in the finite element model of the chain transmission system moving guide rail.

[0011] By adopting the above technical solution, the computer equipment calculates the stress value of each tetrahedron vertex, and determines the maximum stress value of each component by considering the stress distribution of each tetrahedron. This method can more accurately capture the local stress concentration phenomenon, avoid the errors that may be caused by averaging, and is more accurate than traditional overall stress analysis, so as to improve the stress concentration points in a targeted manner. At the same time, this method also improves the reliability of the analysis, considers more data points, reduces the risk of missing key stress points, and provides more reliable data support for subsequent structural optimization and life prediction.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of establishing the finite element model of the chain transmission system moving guide rail, the method also includes: obtaining vibration data of the chain transmission system moving guide rail during actual operation; extracting modal parameters in the vibration data to obtain the natural frequency of the chain transmission system moving guide rail; performing modal analysis on the chain transmission system moving guide rail finite element model to obtain the natural frequency of the chain transmission system moving guide rail finite element model; if the difference between the natural frequency of the chain transmission system moving guide rail finite element model and the natural frequency of the chain transmission system moving guide rail is within a preset error range, marking the chain transmission system moving guide rail finite element model as available.

[0013] By adopting the above technical solution, the computer equipment compares the natural frequency of the dynamic guide rail of the chain transmission system with the natural frequency of the finite element model of the dynamic guide rail of the chain transmission system, combines theoretical analysis with actual measurement, realizes the verification and calibration of the model, and greatly improves the accuracy and reliability of the model. By comparing the natural frequencies, it can be ensured that the established finite element model of the dynamic guide rail of the chain transmission system can accurately reflect the dynamic characteristics of the actual dynamic guide rail of the chain transmission system, which not only improves the accuracy of subsequent stress analysis, but also provides a reliable basis for dynamic performance optimization. In addition, this verification method can identify possible problems in the finite element model of the dynamic guide rail of the chain transmission system, such as improper material parameter settings or inaccurate boundary conditions, so as to make timely adjustments. This closed-loop verification process significantly improves the reliability and accuracy of the entire analysis process.

[0014] This method is combined with some embodiments of the first aspect. In some embodiments, after the step of determining the maximum stress values ​​corresponding to each component in the finite element model of the chain drive system dynamic guide rail under preset loading conditions, the method also includes: based on the maximum stress value corresponding to the component and the stress-life curve table, performing fatigue life assessment on the component to obtain the expected service life of the component under the preset loading conditions; generating a maintenance and replacement plan report based on the maximum stress value corresponding to the component and the expected service life.

[0015] By adopting the above technical solutions, the computer equipment can perform fatigue life assessment and maintenance plan generation for the finite element model of the chain drive system moving guide rail, greatly improving the practicality of the analysis results. By combining the maximum stress value and stress-life curve of each component, the computer equipment can not only evaluate the expected service life of the component under the preset loading conditions, but also formulate corresponding maintenance and replacement plans, so as to better prevent failures and optimize maintenance strategies. By accurately predicting the life of components, it is possible to avoid waste of resources caused by premature replacement, and to prevent unexpected failures caused by delayed maintenance. Therefore, this method provides an important reference for design improvements and helps engineers identify components that need to be optimized.

[0016] In combination with some embodiments of the first aspect, in some embodiments, the method further includes: if the number of stress-exceeding components exceeds a preset number threshold, determining the optimized material of the stress-exceeding component based on the maximum stress value of the stress-exceeding component, the stress-exceeding component being used to indicate that the maximum stress value of the component exceeds the allowable stress value of the corresponding material of the component.

[0017] By adopting the above technical solution, when the number of stress-exceeding components exceeds the preset number threshold, it means that multiple components have stress-exceeding conditions, indicating that the allowable stress value of the material cannot meet the use requirements of the chain drive system dynamic guide rail under the preset loading conditions. At this time, it should not be limited to local optimization, but the improvement of the overall structure should be considered. By analyzing the maximum stress value of the stress-exceeding components, this method can recommend more suitable materials for these stress-exceeding components, thereby improving the load-bearing capacity of the chain drive system dynamic guide rail without changing the overall design. This optimization strategy can effectively solve the problem of multi-point stress concentration and improve the reliability and durability of the entire chain drive system dynamic guide rail. At the same time, this method also provides engineers with more flexible design options, enabling them to make a better balance between cost and performance, and through material optimization, significantly improve the performance of the chain drive system dynamic guide rail without increasing the complexity of the structure.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after the step of searching for a target reinforcement strategy corresponding to the target stress concentration point in a preset structural reinforcement strategy table based on the position coordinates and stress form of the target stress concentration point, the method further includes: after applying the target reinforcement strategy, obtaining an improved stress value of the target stress concentration point under the preset loading conditions; and returning a reinforcement effect evaluation result based on the improved stress value and the allowable stress value of the material corresponding to the target component.

[0019] By adopting the above technical solution, the computer equipment can quantitatively evaluate the effectiveness of the target reinforcement strategy by comparing the stress values ​​of the target stress concentration point before and after reinforcement. This reinforcement effect evaluation mechanism can not only verify the feasibility of the reinforcement strategy, but also help engineers further optimize the reinforcement plan. Through repeated iterations and evaluations, the best reinforcement strategy can be found to minimize the cost and weight increase while ensuring the structural strength. This feedback mechanism can also help engineers accumulate experience, continuously improve and update the preset structural reinforcement strategy table, and improve the efficiency and accuracy of future designs.

[0020] In a second aspect, an embodiment of the present application provides a computer device, comprising: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the computer device to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when executed on a computer device, enables the computer device to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a computer device, enable the computer device to execute the method described in the first aspect and any possible implementation of the first aspect.

[0023] It is understandable that the computer device provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. Due to the use of accurate modeling and stress analysis methods based on finite element analysis, the present invention can accurately simulate the complex stress state of the dynamic guide rail of the chain transmission system under actual operating conditions, effectively solving the problem of insufficient analysis accuracy caused by relying on empirical formulas and simplified models in related technologies, thereby realizing high-precision stress analysis and optimized design of the dynamic guide rail of the chain transmission system. This method can not only capture the local stress concentration phenomenon, but also consider the influence of material properties and loading conditions, greatly improving the reliability of the analysis results.

[0025] 2. Due to the use of a model verification method combining actual vibration data and fatigue life assessment based on stress-life curves, the present invention can ensure the accuracy of the analysis model and provide reliable life prediction, effectively solving the problems of low model credibility and inaccurate maintenance strategies in related technologies, thereby achieving accurate performance evaluation and scientific maintenance planning for the dynamic guide rails of the chain drive system. By comparing the actual measured natural frequency with the natural frequency calculated by the model, the present invention can verify and calibrate the finite element model of the dynamic guide rail of the chain drive system to ensure the accuracy of subsequent analysis. At the same time, based on accurate stress analysis results and material properties, the present invention can perform reliable fatigue life assessments on each component, providing a scientific basis for formulating preventive maintenance strategies.

[0026] 3. Due to the adoption of material optimization suggestions and reinforcement effect evaluation mechanism, the present invention can improve the performance of the dynamic guide rail of the chain drive system at the overall level and verify the optimization effect, effectively solving the problems of insufficient local optimization and difficult to quantify improvement effects in related technologies, thereby achieving comprehensive performance improvement of the dynamic guide rail of the chain drive system and continuous optimization of the design scheme. By analyzing the stress state of multiple components and providing material optimization suggestions, the present invention can significantly improve the load-bearing capacity of the dynamic guide rail of the chain drive system without changing the overall structure. At the same time, by comparing the stress state before and after reinforcement, the present invention provides a method for quantitatively evaluating the optimization effect, allowing engineers to objectively evaluate the effectiveness of various improvement schemes. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of a guide rail chain stress analysis method in an embodiment of the present application; Figure 2 is another flow chart of the guide rail chain stress analysis method in the embodiment of the present application; Figure 3 It is a schematic diagram of a physical device structure of a computer device in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of the guide rail chain stress analysis method in an embodiment of the present application.

[0031] S101, establishing a finite element model of a chain transmission system moving guide rail, wherein the finite element model of the chain transmission system moving guide rail is used to simulate the mechanical behavior of the chain transmission system moving guide rail during actual operation, and the finite element model of the chain transmission system moving guide rail includes various components of the chain transmission system moving guide rail and materials corresponding to the various components; Among them, the chain drive system refers to a mechanical transmission system composed of chains, sprockets and other related components for transmitting power and motion. The moving guide rail refers to a guide device used to guide and support the movement of the chain, usually made of metal materials. The finite element model refers to a computational model that discretizes a complex physical structure into a finite number of units and simulates its mechanical behavior through mathematical methods. Mechanical behavior refers to the deformation, stress, strain and other reactions of the structure under the action of external forces. Components refer to the various independent functional units that constitute the moving guide rail of the chain drive system, such as the guide rail body, support frame, etc. Materials refer to the substances used to manufacture each component, such as steel, aluminum alloy, etc.

[0032] The computer device performs this step in the initial stage of stress analysis of the dynamic guide rail of the chain transmission system. Specifically, first, the computer device collects basic data such as geometric dimensions, material properties and assembly relationships of the dynamic guide rail of the chain transmission system. Then, the computer device constructs a three-dimensional geometric model based on the collected basic data through finite element analysis software such as ANSYS or ABAQUS. Next, the computer device specifies the corresponding materials and material properties for each component in the three-dimensional geometric model, including elastic modulus, Poisson's ratio, density, etc. After that, the computer device defines the contact relationship and constraints between the components to accurately reflect the connection method of the actual structure. Through these steps, the computer device establishes a finite element model of the dynamic guide rail of the chain transmission system, and obtains an accurate digital model that can simulate the mechanical behavior of the dynamic guide rail of the chain transmission system during actual operation.

[0033] S102, under a preset loading condition, determining the maximum stress values ​​corresponding to the respective components in the finite element model of the movable guide rail of the chain transmission system; The preset loading conditions refer to the external forces and constraints predefined according to the actual working environment and use requirements of the chain drive system moving guide rail. The maximum stress value indicates the maximum stress borne by any point inside the component under given preset loading conditions, usually expressed in Pascal (Pa) or Megapascal (MPa). Stress refers to the internal force per unit area inside the material, which can be divided into normal stress and shear stress.

[0034] After the computer equipment completes the establishment of the finite element model of the chain drive system moving guide rail, this step is performed when entering the stress analysis stage. Specifically, the computer equipment first applies external loads to the finite element model of the chain drive system moving guide rail according to the actual working conditions of the chain drive system moving guide rail, that is, preset loading conditions, such as chain transmission force, gravity, vibration load, etc. At the same time, the computer equipment also needs to set appropriate constraints, such as fixed support points, sliding contact, etc., to simulate the actual working state of the chain drive system moving guide rail. Then, the computer equipment uses the solver of the finite element analysis software to perform numerical calculations on the finite element model of the entire chain drive system moving guide rail based on linear or nonlinear mechanics theory. During the calculation process, the finite element analysis software will automatically divide the integration points and calculate the stress tensor at each integration point. After the calculation is completed, the computer equipment will compare the stress values ​​of all integration points of each component to find the maximum stress value in each component. These maximum stress values ​​are usually presented in the form of von Mises equivalent stress because it can comprehensively reflect the stress state in all directions. Finally, the computer equipment extracts the maximum stress value of each component to provide basic data for subsequent stress evaluation and optimization design. Through this process, the computer equipment can fully evaluate the stress distribution of the chain drive system moving guide under given operating conditions.

[0035] S103, if the target maximum stress value of the target component exceeds the allowable stress value of the material corresponding to the target component, mark the point corresponding to the target maximum stress value as a target stress concentration point; The target component refers to the specific component being analyzed in the finite element model of the chain drive system moving guide rail. The target maximum stress value indicates the maximum stress value that the target component can withstand under the preset loading conditions. The allowable stress value refers to the maximum stress that the material of the target component can withstand under safe working conditions, which is usually obtained by dividing the yield strength of the material by a certain safety factor. The stress concentration point refers to a local location where the stress value is significantly higher than the surrounding area, and is often a potential starting point for structural failure.

[0036] After the computer device completes the calculation of the maximum stress value of each component and enters the stress assessment stage, this step is performed. Specifically, first, the computer device retrieves the allowable stress value of the material used for the target component. This allowable stress value usually takes into account the yield strength, fatigue strength and a certain safety factor of the material. Then, the computer device compares the target maximum stress value of the target component obtained in the previous step with the allowable stress value. If the target maximum stress value exceeds the allowable stress value, the computer device will locate the point corresponding to the target maximum stress value in the finite element model as the target stress concentration point. Next, the computer device will specially mark this target stress concentration point in the finite element model of the chain drive system moving guide rail, such as using different colors, adding marking symbols, etc., which are not limited here. In addition, the computer device will also record the detailed information of this target stress concentration point, including its precise maximum stress value, position coordinates, stress form (such as tension, compression, shear, etc.) and stress distribution in the surrounding area.

[0037] S104. According to the position coordinates and stress form of the target stress concentration point, search for a target reinforcement strategy corresponding to the target stress concentration point in a preset structural reinforcement strategy table.

[0038] Among them, the position coordinate refers to the specific position of the target stress concentration point in three-dimensional space, usually expressed by the values ​​of the three axes X, Y, and Z. The stress form indicates the type and nature of stress, such as tensile stress, compressive stress, shear stress, etc. The preset structural reinforcement strategy table refers to a pre-established database or lookup table that contains various common stress concentration conditions and their corresponding reinforcement methods. The target reinforcement strategy refers to the most suitable structural improvement plan selected for the target stress concentration point.

[0039] After the computer device determines the stress concentration point, it performs this step when entering the structural optimization suggestion stage. Specifically, the computer device first extracts detailed information of the target stress concentration point, including its position coordinates and stress form in the finite element model of the chain drive system moving guide rail. The position coordinates help determine the specific position of the stress concentration point in the component, such as the edge, corner, near the hole, etc. The stress form is determined based on the stress tensor of the stress concentration point. The computer device analyzes the direction and magnitude of the principal stress to determine whether it is a tensile, compressive, shear or composite stress state. Then, the computer device accesses the preset structural reinforcement strategy table, which is established based on a large amount of engineering experience and theoretical analysis, and contains common reinforcement methods under different position coordinates and different stress forms. For example, for tensile stress concentration at the edge, it may be recommended to add fillets; for stress concentration near the hole, it may be recommended to add reinforcing ribs. The computer device will search for the most matching reinforcement scheme in the preset structural reinforcement strategy table based on the characteristics of the stress concentration point. During the search process, the computer device may use a fuzzy matching algorithm to handle subtle differences between the actual situation and the preset situation. After finding a suitable reinforcement strategy, the computer device will generate detailed optimization suggestions, including the specific method of reinforcement, expected results, and implementation precautions. If there are multiple optional reinforcement strategies, the computer device may sort these reinforcement strategies according to preset weights (such as implementation difficulty, cost, effect, etc.) to provide designers with more comprehensive reference information.

[0040] By adopting the above technical solution, the computer equipment establishes a finite element model of the moving guide rail of the chain transmission system to simulate the mechanical behavior of the moving guide rail of the chain transmission system during actual operation, so as to accurately perform stress analysis on the moving guide rail of the chain transmission system when it faces complex or irregular loads. The computer equipment obtains the stress conditions of each component of the finite element model of the moving guide rail of the chain transmission system under preset loading conditions, and identifies stress concentration points based on the stress conditions of each component and the allowable stress of the corresponding materials of each component, thereby providing an accurate basis for structural optimization. This method is more accurate than traditional empirical formulas or simplified models, and can simulate complex actual operating conditions. By matching stress concentration points with preset structural reinforcement strategies, targeted improvement suggestions are put forward, which effectively improves the structural strength and service life of the moving guide rail of the chain transmission system. While improving design efficiency, it can also reduce the risk of failure in actual operation and reduce maintenance costs.

[0041] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the guide rail chain stress analysis method in an embodiment of the present application.

[0042] S201, establishing a finite element model of a chain transmission system moving guide rail, wherein the finite element model of the chain transmission system moving guide rail is used to simulate the mechanical behavior of the chain transmission system moving guide rail during actual operation, and the finite element model of the chain transmission system moving guide rail includes various components of the chain transmission system moving guide rail and materials corresponding to the various components; For details, please refer to step S101, which will not be described in detail here.

[0043] S202, based on the meshing technology in finite element analysis, using a triangular surface mesh, meshing the surface of the finite element model of the moving guide rail of the chain transmission system to obtain a plurality of tetrahedrons; Among them, finite element analysis refers to the method of discretizing a continuum into a finite number of units for numerical analysis. Meshing technology refers to the process of dividing a complex geometric body into simple geometric units. A triangular face mesh refers to a surface mesh composed of triangles, which is used to approximate the surface of a three-dimensional object. A tetrahedron refers to a three-dimensional geometric body surrounded by four triangular faces, which is often used as the basic unit of three-dimensional finite element analysis and, in this context, as the basic calculation unit of finite element analysis.

[0044] After the computer device establishes the finite element model of the moving guide rail of the chain transmission system, this step is performed when entering the mesh generation stage. Specifically, first, the computer device calls the meshing function in the finite element analysis software, and determines the appropriate meshing algorithm, such as Delaunay triangulation, advancing front method, etc., according to the geometric characteristics of the finite element model of the moving guide rail of the chain transmission system and the preset mesh quality parameters. Then, the computer device starts to mesh the surface of the finite element model of the moving guide rail of the chain transmission system. The computer device generates a series of nodes on the surface of the finite element model of the moving guide rail of the chain transmission system. The density of the nodes may be dynamically adjusted according to the geometric characteristics (such as curvature) of the finite element model of the moving guide rail of the chain transmission system. The computer device connects these nodes to form triangles to form a surface mesh. While generating the surface mesh, the computer device will perform a mesh quality check to ensure that the shape of the triangle meets the preset quality standards, such as the minimum angle, aspect ratio, etc. If an unqualified mesh is found, the computer device will automatically perform local refinement or re-division. After completing the surface mesh, the computer device starts to generate a volume mesh, which starts from the surface mesh, advances inward, and gradually generates tetrahedral units. This process may involve complex mathematical algorithms, such as Delaunay interpolation or advancing frontier methods. The generated tetrahedral mesh needs to meet preset quality standards, such as volume ratio, aspect ratio, etc. Finally, the entire mesh is fully checked by computer equipment to ensure the continuity, integrity and quality of the mesh.

[0045] S203, according to each component in the finite element model of the movable guide rail of the chain transmission system, determining a tetrahedron set corresponding to each component, wherein the tetrahedron set includes a plurality of tetrahedrons; The computer device performs this step after completing the meshing of the finite element model of the movable guide rail of the entire chain transmission system. Specifically, first, the computer device reads the structural information of the finite element model of the movable guide rail of the chain transmission system and identifies each independent component in the finite element model of the movable guide rail of the chain transmission system. These structural information are usually defined in the modeling stage, and each component may have a unique identifier or name. Then, the computer device starts to traverse all the generated tetrahedral units. For each tetrahedron, the computer device checks its spatial position and properties to determine which component it belongs to. This judgment process may be based on spatial coordinates, material properties, or pre-defined area markers. During the traversal process, the computer device creates an empty tetrahedron set for each component. When it is determined that a tetrahedron belongs to a certain component, it is added to the tetrahedron set corresponding to the component. This process is repeated until all tetrahedrons are assigned to the corresponding component set. During the assignment process, the computer device also performs some checks, such as ensuring that no tetrahedrons are missed and verifying that each tetrahedron belongs to only one component. In addition, the computer device may record some statistical information of the tetrahedron set of each component, such as the number of tetrahedrons, total volume, etc., which can be used for subsequent calculations and analysis. Finally, the computer device will associate these tetrahedron sets with the corresponding components to form a structured data model. Through this process, the computer device realizes organized management from the overall mesh to the component level, laying the foundation for accurate stress analysis.

[0046] S204, obtaining vibration data of the moving guide rail of the chain transmission system during actual operation; The vibration data refers to the periodic displacement, velocity or acceleration information generated by the moving guide rail of the chain drive system during the movement process. The actual operation process refers to the operation state of the chain drive system under normal working conditions.

[0047] This step is performed when the computer device enters the model verification stage after completing the establishment and meshing of the finite element model of the dynamic guide rail of the chain drive system. Specifically, first, the computer device establishes a data connection with the actual test platform of the dynamic guide rail of the chain drive system. This test platform is usually equipped with multiple acceleration sensors, which are arranged at key positions of the dynamic guide rail. When the dynamic guide rail of the chain drive system is subjected to preset loading conditions during actual operation, the acceleration sensor will collect the vibration data of the dynamic guide rail of the chain drive system in real time, and the sampling frequency will usually be set high enough to capture high-frequency vibration components. Then, the test platform transmits these vibration data to the computer device through a communication connection, and the computer device obtains the vibration data of the dynamic guide rail of the chain drive system during actual operation.

[0048] S205, extracting modal parameters from the vibration data to obtain the natural frequency of the moving guide rail of the chain transmission system; Among them, modal parameters refer to a set of parameters that describe the dynamic characteristics of the structure, including natural frequency. Natural frequency refers to the frequency of the moving guide rail of the chain drive system vibrating freely without external forces. Vibration data refers to the displacement, velocity or acceleration time series recorded during the movement of the structure.

[0049] The computer device performs this step when entering the data analysis phase after acquiring the vibration data of the chain drive system's moving guide rail during actual operation. Specifically, first, the computer device preprocesses the acquired raw vibration data, including removing DC bias, filtering and eliminating high-frequency noise, etc. Then, the computer device uses the fast Fourier transform (FFT) algorithm to convert the time domain signal into a frequency domain signal to obtain a vibration spectrum diagram. In the spectrum diagram, the computer device identifies significant peaks, which usually correspond to the natural frequencies of the chain drive system's moving guide rail.

[0050] S206, performing modal analysis on the finite element model of the movable guide rail of the chain transmission system to obtain the natural frequency of the finite element model of the movable guide rail of the chain transmission system; Specifically, modal analysis refers to the process of calculating the natural frequency and vibration mode of a structure. First, the computer device calls the modal analysis function in the finite element analysis software. Modal analysis is usually based on linear dynamics theory and uses mass matrix and stiffness matrix to describe the finite element model of the chain drive system moving guide rail. The computer device sets the analysis parameters, such as the number of modes to be calculated, the frequency range, etc. Then, the computer device begins to build the mass matrix and stiffness matrix of the chain drive system moving guide rail finite element model. This process involves traversing all finite elements and calculating the contribution of each element to the global matrix based on its geometry, material properties and unit type. For large chain drive system moving guide rail finite element models, this process may use sparse matrix technology to improve computational efficiency. Next, the computer device solves the eigenvalue problem, usually using numerical algorithms such as the Lanczos method or subspace iteration method. During the solution process, the computer device may use parallel computing technology to accelerate large-scale matrix operations. After the calculation is completed, the computer device will post-process the results, including converting the eigenvalues ​​into actual frequency values, normalizing the modal vibration mode, etc. Finally, the computer equipment will generate a modal analysis report, including the natural frequency, participation factor, effective mass and other information of each mode, and may also generate an animation or image of the modal vibration shape. Through this process, the computer equipment obtains the theoretical modal characteristics of the finite element model of the dynamic guide rail of the chain transmission system, and is ready for comparison with the measured results.

[0051] S207, if the difference between the natural frequency of the finite element model of the chain transmission system moving guide rail and the natural frequency of the chain transmission system moving guide rail is within a preset error range, marking the finite element model of the chain transmission system moving guide rail as available; The preset error range refers to the predefined acceptable upper and lower error limits. Available means that the model can accurately reflect the dynamic characteristics of the actual structure.

[0052] The computer device performs this step when entering the model verification phase after completing the measured data analysis and finite element modal analysis. Specifically, first, the computer device retrieves the two sets of natural frequencies obtained in the previous step: one set is extracted from the measured vibration data, and the other set is calculated by finite element modal analysis. Then, the computer device pairs the two sets of natural frequencies, usually starting from the lowest-order mode, and compares the natural frequencies of each mode one by one. For each pair of frequencies, the computer device calculates the difference between them, which may be a percentage difference or an absolute difference. At the same time, the computer device reads the preset error range, which may be a fixed percentage (such as 5%) or a value dynamically adjusted according to the frequency range. Next, the computer device compares the calculated difference with the preset error range. If the difference in the natural frequencies of all key modes (usually the first few modes) is within the preset error range, the computer device marks the finite element model of the chain drive system moving guide rail as "available".

[0053] S208, under the preset loading condition, obtaining the stress value of the vertex of each tetrahedron in the tetrahedron set corresponding to the component; The computer device performs this step when entering the stress analysis stage after completing the model verification and confirming that the model is available. Specifically, first, the computer device calls the static analysis function in the finite element analysis software. Then, the computer device usually sets the preset loading conditions based on the actual working environment of the moving guide rail of the chain drive system. The preset loading conditions may include external forces, pressure, gravity, temperature fields, etc., as well as boundary conditions such as fixed constraints, sliding constraints, etc. Next, the computer device starts finite element solution, which may involve constructing and solving large-scale linear equations, usually using iterative methods such as conjugate gradient methods. During the solution process, the computer device calculates the displacement of each node, then calculates the strain field based on the displacement field, and finally calculates the stress field based on the constitutive relationship of the material. For each tetrahedron, the computer device calculates the stress values ​​of its four vertices, which usually include three normal stress components and three shear stress components. During the calculation process, the computer device uses the interpolation function to interpolate the stress inside the tetrahedron to obtain more accurate stress values ​​of the tetrahedron vertices.

[0054] S209, taking the maximum stress values ​​corresponding to each tetrahedron set as the maximum stress values ​​corresponding to each component in the finite element model of the moving guide rail of the chain transmission system; The computer device performs this step when entering the stress data processing and summary stage after completing the calculation of the stress value of each tetrahedron vertex. Specifically, the computer device first traverses each component in the finite element model of the chain drive system moving guide rail. For each component, the computer device accesses the tetrahedron set associated with it. Then, the computer device starts to search for the maximum stress value in this tetrahedron set. This search process usually involves comparing the stress values ​​of the four vertices of each tetrahedron. During the comparison process, the computer device may consider different types of stress, such as principal stress, effect stress, etc., depending on the design requirements and failure criteria. For each stress component, the computer device records its maximum value and the location where it occurs (including the tetrahedron number and vertex number). During the search process, the computer device may use parallel computing technology to accelerate the processing of large-scale data. After finding the maximum stress value, the computer device will use this value as the maximum stress value of the component and associate it with the component. This process is repeated for each component in the finite element model of the chain drive system moving guide rail. After the maximum stress values ​​of all components are determined, the computer device may generate a stress summary report that lists the maximum stress value, stress type, location of occurrence, and other information of each component.

[0055] S210, based on the maximum stress value and stress-life curve table corresponding to the component, perform fatigue life assessment on the component to obtain the expected service life of the component under the preset loading condition; Among them, the stress-life curve table refers to the curve that describes the number of cycles a component can withstand under the maximum stress value. Fatigue life assessment refers to the process of predicting the number of cycles or time a component can withstand before failure under cyclic loading. The expected service life refers to the time or number of cycles that a component is expected to operate normally under preset loading conditions.

[0056] The computer device performs this step when entering the fatigue life analysis phase after determining the maximum stress value of each component. Specifically, for each component, the computer device reads its maximum stress value and material type. Then, the computer device accesses the stress-life (SN) curve corresponding to the material, which is usually obtained through a large number of experiments and stored in the form of a table or function. The computer device uses an interpolation or fitting algorithm to find the corresponding number of cycles on the stress-life curve according to the maximum stress value. In this process, the computer device may consider factors such as stress ratio and mean stress effect, and use methods such as Goodman criterion or SWT parameters for correction. If the maximum stress value is lower than the fatigue limit of the material, the computer device may mark the life as "infinite". For variable amplitude loads, the computer device may use the rain flow counting method to process the load spectrum, and then apply Miner's linear cumulative damage theory to calculate the total fatigue damage. The computer device also considers the safety factor, and may select different safety factors based on the importance of the component and the consequences of failure. Finally, the computer device converts the number of cycles into actual time units, such as hours or days, which may require considering the actual working frequency of the component. When the conversion is complete, the computer equipment generates the expected service life of each component.

[0057] S211, generating a maintenance and replacement plan report according to the maximum stress value corresponding to the component and the expected service life; Computer equipment performs this step when it enters the maintenance plan formulation stage after completing the fatigue life assessment of each component. Specifically, for each component, the computer equipment will comprehensively consider its maximum stress value, expected service life, importance and other factors, and then set a preliminary inspection and replacement cycle based on the expected service life. The first inspection time is usually set at a certain proportion of the expected service life (such as 50% or 75%). For critical components that are subject to high stress, computer equipment may recommend more frequent inspections. For components with a shorter expected life, computer equipment will clearly mark them in the maintenance and replacement plan report and recommend design optimization or material upgrades. Finally, the computer equipment will generate a comprehensive maintenance and replacement plan report, including the inspection and replacement cycle, replacement time, special precautions, etc. for each component.

[0058] S212, if the target maximum stress value of the target component exceeds the allowable stress value of the material corresponding to the target component, then mark the point corresponding to the target maximum stress value as a target stress concentration point; For details, please refer to step S103, which will not be described in detail here.

[0059] S213, if the number of stress-exceeding components exceeds a preset number threshold, determining an optimized material for the stress-exceeding component according to the maximum stress value of the stress-exceeding component, where the stress-exceeding component is used to indicate that the maximum stress value of the component exceeds the allowable stress value of the corresponding material of the component; Among them, the stress-exceeding component refers to the component whose maximum stress value exceeds the allowable stress value of its material. The preset quantity threshold refers to the preset maximum number of stress-exceeding components allowed. The optimized material refers to a more suitable material selection that can meet or exceed the current stress requirements.

[0060] The computer device performs this step when entering the optimization design stage after completing the stress analysis and evaluation of all components. Specifically, first, the computer device counts the number of components with excessive stress, and compares the maximum stress value of each component with the allowable stress value of its material by traversing all components. The allowable stress value is usually obtained from the material database and may be adjusted according to different design specifications or safety factors. The computer device records the number of components with excessive stress through a counter. Then, the computer device compares the number of components with excessive stress with a preset number threshold. This preset number threshold can be pre-set by the designer based on experience or specific requirements, and is not limited here.

[0061] If the number of overstressed components exceeds a preset number threshold, the computer device will start a material optimization program. For each overstressed component, the computer device will access the material database to search for a material with higher strength or better fatigue performance as the optimized material for the overstressed component.

[0062] S214, searching for a target reinforcement strategy corresponding to the target stress concentration point in a preset structural reinforcement strategy table according to the position coordinates and stress form of the target stress concentration point; For details, please refer to step S104, which will not be described in detail here.

[0063] S215, after applying the target reinforcement strategy, obtaining an improved stress value of the target stress concentration point under the preset loading condition; The computer device performs this step when entering the effect verification stage after completing the application of the target reinforcement strategy. Specifically, the computer device will first update the finite element model of the chain drive system moving guide rail, incorporating the geometric changes or material changes brought about by the target reinforcement strategy into the model, which may involve local reconstruction or global re-division of the mesh to ensure that the new chain drive system moving guide rail finite element model can accurately reflect the structural characteristics after reinforcement. Then, the computer device sets the preset loading conditions, which should be consistent with those before reinforcement to facilitate direct comparison.

[0064] Next, the computer device will start the finite element analysis solver to perform static analysis on the updated chain drive system dynamic guide rail finite element model. This process may involve solving a large set of equations, usually using iterative methods such as the conjugate gradient method. During the solution process, the computer device will pay special attention to the stress distribution in the area around the target stress concentration point, and may use stress interpolation algorithms, such as shape function-based interpolation, to obtain a more accurate improved stress value of the target stress concentration point. The improved stress value refers to the new stress level of the target stress concentration point after the reinforcement strategy is applied.

[0065] S216. Return a reinforcement effect evaluation result based on the improved stress value and the allowable stress value of the material corresponding to the target component.

[0066] After obtaining the improved stress value, the computer device executes this step when entering the reinforcement effect evaluation stage. Specifically, the computer device will compare the improved stress value with the allowable stress value of the corresponding material of the target component. The comparison method can calculate the stress ratio (improved stress value divided by the allowable stress value). If the stress ratio is less than 1, it means that the reinforced structure meets the strength requirements, and the computer device obtains the reinforcement effect evaluation result. Other comparison methods are not limited here. Finally, the computer device displays the obtained reinforcement effect evaluation result.

[0067] By implementing the present invention, due to the use of accurate modeling and stress analysis methods based on finite element analysis, the present invention can accurately simulate the complex stress state of the moving guide rail of the chain transmission system under actual operating conditions, effectively solving the problem of insufficient analysis accuracy caused by relying on empirical formulas and simplified models in related technologies, and thus realizing high-precision stress analysis and optimization design of the moving guide rail of the chain transmission system. This method can not only capture the local stress concentration phenomenon, but also consider the influence of material properties and loading conditions, greatly improving the reliability of the analysis results. Due to the use of a model verification method combined with actual vibration data and a fatigue life assessment based on a stress-life curve, the present invention can ensure the accuracy of the analysis model and provide a reliable life prediction, effectively solving the problems of low model credibility and inaccurate maintenance strategies in related technologies, and thus realizing accurate performance assessment and scientific maintenance planning of the moving guide rail of the chain transmission system. By comparing the actual measured natural frequency with the natural frequency calculated by the model, the present invention can verify and calibrate the finite element model of the moving guide rail of the chain transmission system to ensure the accuracy of subsequent analysis. At the same time, based on accurate stress analysis results and material properties, the present invention can perform reliable fatigue life assessment on each component, providing a scientific basis for formulating preventive maintenance strategies. Due to the adoption of material optimization suggestions and reinforcement effect evaluation mechanisms, the present invention can improve the performance of the dynamic guide rail of the chain drive system at the overall level and verify the optimization effect, effectively solving the problems of insufficient local optimization and difficulty in quantifying the improvement effect in related technologies, thereby achieving comprehensive performance improvement of the dynamic guide rail of the chain drive system and continuous optimization of the design scheme. By analyzing the stress state of multiple components and providing material optimization suggestions, the present invention can significantly improve the load-bearing capacity of the dynamic guide rail of the chain drive system without changing the overall structure. At the same time, by comparing the stress state before and after reinforcement, the present invention provides a method for quantitatively evaluating the optimization effect, allowing engineers to objectively evaluate the effectiveness of various improvement schemes.

[0068] The following describes the computer device in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of a physical device structure of a computer device in an embodiment of the present application.

[0069] It should be noted that Figure 3 The structure of the computer device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0070] like Figure 3As shown, the computer device includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0071] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0072] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0073] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0074] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0075] Specifically, the computer device of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the guide rail chain stress analysis method provided in the above embodiment is implemented.

[0076] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the computer device described in the above embodiment; or may exist independently without being assembled into the computer device. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the computer device, the computer device implements the guide rail chain stress analysis method provided in the above embodiment.

[0077] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0078] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0079] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A method for analyzing the stress of a dynamic guide rail of a chain transmission system, characterized in that: Applied to a computer device, the method comprises: Establishing a finite element model of a chain transmission system moving guide rail, wherein the finite element model of the chain transmission system moving guide rail is used to simulate the mechanical behavior of the chain transmission system moving guide rail during actual operation, and the finite element model of the chain transmission system moving guide rail includes various components of the chain transmission system moving guide rail and materials corresponding to the various components; Under preset loading conditions, determining the maximum stress values ​​corresponding to the various components in the finite element model of the chain drive system moving guide rail; If the target maximum stress value of the target component exceeds the allowable stress value of the material corresponding to the target component, then the point corresponding to the target maximum stress value is marked as a target stress concentration point; According to the position coordinates and stress form of the target stress concentration point, the target reinforcement strategy corresponding to the target stress concentration point is searched in the preset structural reinforcement strategy table.

2. The method according to claim 1, characterized in that After the step of establishing a finite element model of a movable guide rail of a chain transmission system, the method further comprises: Based on the meshing technology in finite element analysis, a surface mesh with a mesh type of triangle is used to mesh the surface of the finite element model of the movable guide rail of the chain transmission system to obtain a plurality of tetrahedrons; According to the components in the finite element model of the movable guide rail of the chain transmission system, a tetrahedron set corresponding to each of the components is determined, and the tetrahedron set includes a plurality of tetrahedrons.

3. The method according to claim 2, characterized in that The step of determining the maximum stress values ​​corresponding to the components in the finite element model of the movable guide rail of the chain transmission system under the preset loading conditions specifically includes: Under the preset loading condition, obtaining the stress value of each vertex of a tetrahedron in a set of tetrahedrons corresponding to the component; The maximum stress value corresponding to each tetrahedron set is used as the maximum stress value corresponding to each component in the finite element model of the movable guide rail of the chain transmission system.

4. The method according to claim 1, characterized in that After the step of establishing a finite element model of a movable guide rail of a chain transmission system, the method further comprises: Obtain vibration data of the moving guide rail of the chain drive system during actual operation; Extracting modal parameters from the vibration data to obtain the natural frequency of the moving guide rail of the chain drive system; Performing modal analysis on the finite element model of the movable guide rail of the chain transmission system to obtain the natural frequency of the finite element model of the movable guide rail of the chain transmission system; If the difference between the natural frequency of the finite element model of the chain transmission system moving guide rail and the natural frequency of the chain transmission system moving guide rail is within a preset error range, the finite element model of the chain transmission system moving guide rail is marked as available.

5. The method according to claim 1, characterized in that After the step of determining the maximum stress values ​​corresponding to the respective components in the finite element model of the movable guide rail of the chain transmission system under the preset loading conditions, the method further comprises: Based on the maximum stress value and stress-life curve table corresponding to the component, fatigue life evaluation is performed on the component to obtain the expected service life of the component under the preset loading conditions; A maintenance and replacement plan report is generated based on the maximum stress value corresponding to the component and the expected service life.

6. The method according to claim 1, characterized in that The method further comprises: If the number of stress-exceeding components exceeds a preset number threshold, the optimized material of the stress-exceeding components is determined according to the maximum stress value of the stress-exceeding components, where the stress-exceeding components are used to indicate that the maximum stress value of the component exceeds the allowable stress value of the corresponding material of the component.

7. The method according to claim 1, characterized in that After the step of searching the preset structural reinforcement strategy table for the target reinforcement strategy corresponding to the target stress concentration point according to the position coordinates and stress form of the target stress concentration point, the method further includes: After applying the target reinforcement strategy, obtaining an improved stress value of the target stress concentration point under the preset loading condition; Based on the improved stress value and the allowable stress value of the material corresponding to the target component, a reinforcement effect evaluation result is returned.

8. A computer device, characterized in that: The computer device comprises: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors call the computer instructions so that the computer device executes the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a computer device, the computer device is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is executed on a computer device, the computer device is caused to execute the method according to any one of claims 1 to 7.

Images