Method, device, medium and equipment for designing sealing performance of service seal strip

Abstract

The application relates to the technical field of seal strip simulation analysis, in particular to a service seal strip sealing performance design method, device, medium and equipment, wherein the method comprises the following steps: collecting test data of target seal strip parts, wherein the test data comprises a stiffness-service frequency sample and a compression time-service frequency sample; performing key characteristic curve fitting on the test data to obtain a stiffness-service frequency sample set curve and a compression time-service frequency sample set curve; performing parameter fitting on the stiffness-service frequency sample set curve and the compression time-service frequency sample set curve according to a to-be-tested life cycle node to obtain a material constitutive-service frequency approximate model and a material creep-service frequency approximate model; and performing sealing calculation on the material constitutive-service frequency approximate model and the material creep-service frequency approximate model to extract material parameters. Therefore, the problems of product state condition completion, working condition condition not considering the whole life cycle and performance influence factor completion in the prior art are solved.

Description

Technical Field

[0001] This application relates to the field of sealing strip simulation analysis technology, and in particular to a method, device, medium and equipment for designing the sealing performance of a service sealing strip. Background Technology

[0002] Traditional simulation development focuses on initial performance to determine product quality upon delivery. However, for specific performance characteristics (such as leak-proof sealing), traditional ideal-state simulations fail to reflect performance degradation during use, leading to frequent product quality issues. Taking a leak-proof sealing system as an example, traditional simulations for sealing strips only consider initial performance parameters to assess the risk of leakage. However, rubber components like sealing strips undergo creep and aging during use, altering their initial design and performance parameters. This significantly increases the risk of leak-proof performance failure throughout their lifespan. Traditional simulation development rarely considers the impact of the entire service life on leak-proof performance.

[0003] To address the aforementioned issues, existing technologies have proposed various technical solutions. However, current development of these solutions only considers the initial design state, without taking into account changes in the design state or the service process conditions throughout the entire lifecycle. They also only consider the constitutive structure of the initial state, without considering changes in parameters such as constitutive changes and creep effects throughout the entire lifecycle. Summary of the Invention

[0004] This application provides a method, device, medium, and equipment for designing the sealing performance of service sealing strips, in order to solve problems such as the lack of complete product status conditions, failure to consider the entire life cycle of operating conditions, and the lack of complete performance influencing factors in existing technologies.

[0005] The first aspect of this application provides a method for designing the sealing performance of a service sealing strip, including the following steps: Collect test data of the target sealing strip components, wherein the test data includes stiffness-service count samples and compression time-service count samples; The test data were fitted with key characteristic curves to obtain stiffness-service count sample set curves and compression time-service count sample set curves. Based on the life cycle nodes to be tested, the stiffness-service count sample set curves and the compression time-service count sample set curves are respectively fitted with parameters to obtain the material constitutive-service count approximation model and the material creep-service count approximation model. The material constitutive-service-number approximation model and the material creep-service-number approximation model are subjected to sealing calculations to extract material parameters.

[0006] Optionally, the test data collected for the target sealing strip components include: A sealing strip sample is arbitrarily cut from the target sealing strip component; The sealing strip sample was subjected to N cycles of compression testing using a pre-sealed strip length compression test bench to obtain a compressed sample; The stiffness of the compressed sample is measured to construct the stiffness-service count sample; The compression sample is subjected to static pressure for a preset time using a pre-sealed strip length compression test bench to obtain a static pressure sample, and the compression time-service number sample is constructed.

[0007] Optionally, the step of performing parameter fitting on the stiffness-service count sample set curve and the compression time-service count sample set curve according to the life cycle node to be tested, respectively, to obtain the material constitutive-service count approximation model and the material creep-service count approximation model, includes: The target input conditions are preprocessed to create a cubic mesh; A first rigid surface is established on the cube mesh, and a first rigid surface element reference point is established at the center point of the first rigid surface; A second rigid surface is established below the cube mesh, and a second rigid surface element reference point is established at the center point of the second rigid surface; A hyperelastic finite element spline model is constructed based on the first rigid surface element reference point and the second rigid surface element reference point, and the initial parameters and compression conditions of the hyperelastic finite element spline model are defined. The parameters are fitted based on the hyperelastic finite element spline model and the stiffness-service number sample set curve to obtain the material constitutive-service number approximation model; The parameters are fitted using the hyperelastic finite element spline model and the compression time-service number sample set curve to obtain the approximate model of material creep-service number.

[0008] Optionally, the step of performing sealing calculations on the material constitutive-service-number approximation model and the material creep-service-number approximation model to extract material parameters includes: The material constitutive-service number approximation model and the material creep-service number approximation model are divided into quadrilateral meshes to obtain the cross-sectional finite element model; Compression and sealing calculations were performed on the finite element model of the cross section to extract the material parameters.

[0009] A second aspect of this application provides a device for designing the sealing performance of a service sealing strip, comprising: The data acquisition module is used to acquire test data of the target sealing strip components, wherein the test data includes stiffness-service count samples and compression time-service count samples; The feature fitting module is used to fit the key characteristic curves of the test data to obtain the stiffness-service number sample set curve and the compression time-service number sample set curve. The parameter fitting module is used to perform parameter fitting on the stiffness-service count sample set curve and the compression time-service count sample set curve according to the life cycle node to be tested, so as to obtain the material constitutive-service count approximate model and the material creep-service count approximate model. The sealing calculation module is used to perform sealing calculations on the material constitutive-service-number approximation model and the material creep-service-number approximation model to extract material parameters.

[0010] Optionally, the acquisition module includes: The cutting unit is used to arbitrarily cut out a sealing strip sample from the target sealing strip component; A compression test unit is used to perform N cyclic compression tests on the sealing strip sample using a pre-sealed strip length compression test bench to obtain a compressed sample; The first construction unit is used to measure the stiffness of the compressed sample in order to construct the stiffness-service count sample; The second construction unit is used to apply static pressure to the compressed sample for a preset time using a compression test bench with a pre-sealed strip length, so as to obtain a static pressure sample and construct the compression time-service number sample.

[0011] Optionally, the parameter fitting module includes: The preprocessing unit is used to preprocess the target input conditions to create a cube mesh; A first rigid surface construction unit is used to establish a first rigid surface on the cube mesh, and to establish a first rigid surface unit reference point at the center point of the first rigid surface; The second rigid surface construction unit is used to establish a second rigid surface under the cube mesh, and to establish a second rigid surface unit reference point at the center point of the second rigid surface; A finite element spline construction unit is used to construct a hyperelastic finite element spline model based on the first rigid surface element reference point and the second rigid surface element reference point, and to define the initial parameters and compression conditions of the hyperelastic finite element spline model. The first parameter fitting unit is used to perform parameter fitting based on the hyperelastic finite element spline model and the stiffness-service number sample set curve to obtain the material constitutive-service number approximation model. The second parameter fitting unit is used to perform parameter fitting based on the hyperelastic finite element spline model and the compression time-service number sample set curve to obtain the approximate model of material creep-service number.

[0012] Optionally, the sealing calculation module includes: The partitioning unit is used to divide the material constitutive-service number approximation model and the material creep-service number approximation model into quadrilateral meshes to obtain the cross-sectional finite element model; The calculation and extraction unit is used to perform compression and sealing calculations on the cross-sectional finite element model to extract the material parameters.

[0013] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the service sealing strip sealing performance design method as described in the above embodiments.

[0014] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for designing the sealing performance of service sealing strips.

[0015] The sealing performance design method, device, medium, and equipment for service sealing strips proposed in this invention can consider the initial state of the product and the changes in the product state at any node during its life cycle; perform corresponding parameter trend fitting based on the service process parameter data throughout the entire life cycle; and take into account the material constitutive parameters and creep parameters throughout the entire service life cycle.

[0016] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0017] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for designing the sealing performance of a service sealing strip according to an embodiment of this application; Figure 2 This is a schematic diagram illustrating the specific implementation of a sealing performance design method for an in-service sealing strip according to an embodiment of this application; Figure 3 This is a schematic diagram of a sealing strip length compression test bench provided according to an embodiment of this application; Figure 4 This is a schematic diagram illustrating the execution of an isight parameter integration process according to an embodiment of this application; Figure 5 This is a trend diagram showing the variation of each constitutive parameter at different iteration times, according to an embodiment of this application. Figure 6 This is a graph illustrating the changing trend of a target variable at different iteration times, according to an embodiment of this application. Figure 7 This is a schematic diagram of a compression operation according to an embodiment of this application; Figure 8 This is an interface diagram illustrating the application of an embodiment of the present application for adding a pressure load; Figure 9 This is a schematic diagram illustrating an examination of whether a seal fails under pressure, according to an embodiment of this application. Figure 10 This is a block diagram of a sealing performance design device for a service sealing strip according to an embodiment of this application; Figure 11 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application.

[0018] Explanation of reference numerals in the attached figures: 100-Sealing performance design device for service sealing strips, 1001-Acquisition module, 1002-Feature fitting module, 1003-Parameter fitting module, 1004-Sealing calculation module, 1101-Memory, 1102-Processor, 1103-Communication interface. Detailed Implementation

[0019] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0020] The following description, with reference to the accompanying drawings, describes a method and apparatus for designing the sealing performance of a service sealing strip according to embodiments of this application. Addressing the issues mentioned in the background section regarding the incompleteness of product condition conditions, lack of consideration for the entire lifecycle of operating conditions, and incompleteness of performance influencing factors in existing technologies, this application provides a method for designing the sealing performance of a service sealing strip. In this method, a component test bench is first designed and constructed to sample test data. The tested data is then subjected to feature fitting and parameter fitting to construct an approximate material constitutive-service-number model and an approximate material creep-service-number model, followed by sealing calculations. This allows for the prediction of the sealing performance of the sealing strip throughout the entire lifecycle of the opening and closing component product.

[0021] Specifically, Figure 1This is a flowchart illustrating a method for designing the sealing performance of a service sealing strip, as provided in an embodiment of this application.

[0022] like Figure 1 As shown, the sealing performance design method for this service sealing strip includes the following steps: In step S101, test data of the target sealing strip components are collected, including stiffness-service count samples and compression time-service count samples.

[0023] In some embodiments, collecting test data on the target sealing strip components includes: Arbitrarily cut a sealing strip sample from the target sealing strip component; The sealing strip sample was subjected to N cycles of compression test using a pre-sealed strip length compression test bench to obtain a compressed sample; The stiffness of the compressed sample was measured to construct a stiffness-service count sample; A static pressure test bench with a pre-sealed strip length was used to perform static pressure test on the compressed sample for a preset time to obtain a static pressure sample, and a compression time-service number sample was constructed.

[0024] In actual implementation, such as Figure 2 and 3 As shown, a compression test bench for a section of sealing strip is designed to hold the sealing strip, and an actuator is set to step displacement to compress the sealing strip and measure the reaction force of the sealing strip. Sufficient sealing strip samples are cut from the sampled sealing strip for data collection.

[0025] Furthermore, a sample of the sealing strip is arbitrarily cut from the target sealing strip component. Based on the length of the segment, the sealing strip sample undergoes N cyclic compression tests on a compression test bench. After each compression cycle, the F_U characteristic of the sealing strip is measured (only the linear segment is considered), and the stiffness of the sealing strip after that cycle is then calculated. Create n samples to obtain n sets of stiffness correspondences. , ... That is, stiffness-service count sample.

[0026] Furthermore, for the compressed sample from the previous step, a new sample is subjected to static pressure for a certain period of time. A static pressure sample with the same sealing strip height as after N cycles of compression testing is selected, and the corresponding compression time is... Similarly, corresponding to the n sets of compressed samples in the previous step, we obtain n sets of time correspondences. , ... That is, the compression time-service count sample.

[0027] In step S102, the test data are fitted with key characteristic curves to obtain stiffness-service number sample set curves and compression time-service number sample set curves.

[0028] In actual implementation, such as Figure 2 As shown, for n sets of stiffness-service cycle samples, a KN curve is fitted. For any life cycle cycle number N, ... i stiffness K Ni The KN curve is directly obtained to perform the "S103-(1)" step.

[0029] For n sets of compression time-service count samples, a TN curve is fitted. For example, to find any lifecycle cycle count N... i stiffness T Ni The TN curve is directly obtained to perform the "S103-(2)" step.

[0030] In step S103, the stiffness-service count sample set curve and the compression time-service count sample set curve are fitted with parameters according to the life cycle node to be tested, so as to obtain the material constitutive-service count approximation model and the material creep-service count approximation model.

[0031] In some embodiments, parameter fitting is performed on the stiffness-service count sample set curve and the compression time-service count sample set curve according to the life cycle nodes to be tested, respectively, to obtain an approximate material constitutive-service count model and an approximate material creep-service count model, including: The target input conditions are preprocessed to create a cubic mesh; Create a first rigid surface on the cube mesh, and establish a first rigid surface element reference point at the center point of the first rigid surface; A second rigid surface is created below the cube mesh, and a reference point for the second rigid surface element is created at the center point of the second rigid surface; A hyperelastic finite element spline model is constructed based on the reference points of the first and second rigid surface elements, and the initial parameters and compression conditions of the hyperelastic finite element spline model are defined. Parameter fitting was performed based on the hyperelastic finite element spline model and the stiffness-service number sample set curve to obtain an approximate constitutive-service number model of the material; The parameters were fitted using the hyperelastic finite element spline model and the compression time-service number sample set curves to obtain an approximate model of material creep-service number.

[0032] In actual implementation, such as Figure 2As shown, based on the stiffness-service count sample set curves and compression time-service count sample set curves, the key parameters of the sealing strip are fitted according to the life cycle nodes to be tested. The specific process is as follows: (1) Construct an approximate model of material constitutive-service number, as follows: First, the characteristic condition data of the hyperelastic component is processed: a) When the target input conditions have detailed spline size parameters and experimental FU curves, no additional data processing is required; b) When the input conditions do not have detailed spline size parameters and only provide pressure-deformation rate curves, the pressure-deformation rate data is converted into FU curves according to a 1mm x 1mm x 1mm unit sample size. That is, the pressure value x 1mm^2 is converted into the same value group in N, and the deformation rate value x 1mm is converted into the same value group in mm. After the above is performed, the pressure-deformation rate curve values ​​remain completely unchanged, only the units are converted to FU.

[0033] 2) Construct a hyperelastic finite element spline model, as follows: If detailed spline size parameters are provided based on the target input conditions, a mesh model will be built strictly according to the spline size and shape. If spline size information is not provided, the steps are as follows: a) Create a 1mm x 1mm x 1mm cube mesh with a hexahedral mesh type and a C3D8H element type; b) On the above mesh element (4 nodes), establish the first rigid surface (tetrahedral element, element type R3D4) and establish the first rigid surface element reference point (ref_node_1) at the center point of the tetrahedron. The relationship between the reference point and the rigid surface element is defined using the *rigid body keyword. Note that the four nodes of the rigid surface tetrahedral element and the four nodes of the hexahedral element share nodes. c) Create a second rigid surface (tetrahedral element, element type R3D4) below the above mesh element (4 nodes) and create a reference point (ref_node_2) for the second rigid surface element at the center point of the tetrahedron. The relationship between the reference point and the rigid surface element is defined using the *rigid body keyword. Note that the four nodes of the rigid surface tetrahedral element and the four nodes of the hexahedral element share a node. The finite element spline modeling of the hyperelastic construction is now complete.

[0034] 3) Define the selection of the hyperelastic constitutive model and the initial parameter set, as detailed below: a) Select a suitable hyperelastic constitutive model, taking the MOOLIN-RIVLIN model as an example; b) Use the *material keyword to define the spline material in the experimental data; c) Material properties are given by using the *density keyword to specify the material density parameter; d) Applying material properties using the keywords *HYPERELASTIC, MOONEY-RIVLIN to provide three initial constitutive parameters C01, C10, and C11 for the constitutive model; e) Apply the keyword *solid section to assign the material defined above to the spline cells in the test data.

[0035] 4) Definition and calculation of compression conditions for spline finite element models, specifically including: a) At the first rigid surface element reference point (ref_node_1) established, apply the *boundary keyword to fully constrain the point (constraining 1 to 6 degrees of freedom). b) At the established second rigid surface element reference point (ref_node_2), apply the *boundary keyword to constrain the point (constraining degrees of freedom 1, 2, 4, 5, and 6). c) Apply a load to the vertical direction (positive direction of 3 degrees of freedom) of the ref_node_2 reference point, and the load size is the maximum F value of the FU characteristic after processing in the first rigid surface; d) Apply the *monitor keyword to detect and define the displacement value of the reference point ref_node_2 in the vertical direction (positive direction of 3 degrees of freedom) for each output load step, so as to output the displacement change in the 3 directions in the subsequent calculated sta file; e) In the *step load step, the *output keyword controls the time interval of the output load step, so as to ensure the data received by the subsequent sight file is properly organized. f) After the above mesh and working condition finite element model are defined, export the inp format file (such as JOB.inp file). g) Define a batch (.bat) executable file to run the ABAQUS analysis. The script commands are as follows: call abq6111 job=JOB interactive cpus=8 echo. 5) Hyperelasticity parameter fitting optimization, specifically including: Based on the definitions in steps "1)-4)" above, the elements of the fitted optimization scheme are as follows: [Target Variable] The difference between the area of ​​the FU characteristic curve and the area of ​​the calculated FU curve.

Condition Variables

SimCode Application Components

DATA Matching Application Components

[0036] Result selects the area difference between a) and b).

[0037] [Process Component (Optimization)] * Set the optimization algorithm to the Hooke-Jeeves type; * Set the range of the condition variables and select the combination of the three constitutive parameters C01, C10, and C11 according to the actual situation; The iSight parameter integration process has been completed. Figure 4 As shown.

[0038] b) Setting the range of condition parameters and the number of iterations *In the optimization process component, select a suitable numerical range for the combination of three constitutive parameters C01, C10, and C11, and choose float as the data type. Adjustments can be made later as needed. * The optimization process component iteration count is set to 100. This may be adjusted later as needed. c) Optimize execution and result analysis, characterized by: * Perform optimization operations *Observe the data change trend of the condition variable during the iteration process, and the change trend of each constitutive parameter at different iteration times, such as... Figure 5 As shown.

[0039] *The data change trend of the target variable during the iteration process, combined with the observation of the target variable's change trend at different iteration times in the previous step, such as... Figure 6 As shown.

[0040] *Optimal solution selection: Based on the iteration results and parameter requirements, select an appropriate combination of optimal solution data for condition variables as input conditions for subsequent simulation analyses.

[0041] 6) Comparison of the characteristics of the optimal solution of the constitutive fitting parameter set, specifically including: The optimal solution data of the selected condition variables are combined and exported into an .inp format finite element model file, which is then solved using a .bat format executable file. The FU calculation results of the obtained sample simulation model are compared with the input conditions. If they are acceptable, the current optimal solution combination of condition variables is determined; if not, the process returns to optimize and fit again until the optimal solution is acceptable. (2) Construct an approximate model of material creep-service cycles, specifically including: The steps are the same as (1), and the variables are set as follows: [Target Variable] The difference between the area of ​​the LT characteristic curve and the area of ​​the output curve of the calculated FU result; Condition Variables , Parameter combinations;

Objective Function

[0042] Note: When there are enough calibration samples in "(1)" and "(2)", an approximate model is constructed. In the subsequent step S104, the material parameters are extracted in reverse through the approximate model based on the required number of lifetimes to be examined for the corresponding full life cycle.

[0043] In step S104, sealing calculations are performed on the material constitutive-service number approximation model and the material creep-service number approximation model to extract material parameters.

[0044] In some embodiments, sealing calculations are performed on the material constitutive-service-number approximation model and the material creep-service-number approximation model to extract material parameters, including: The material constitutive-service number approximation model and the material creep-service number approximation model are divided into quadrilateral meshes to obtain the cross-sectional finite element model; Compression and sealing calculations were performed on the cross-sectional finite element model to extract material parameters.

[0045] In actual implementation, such as Figure 2 As shown, the sealing performance of this life cycle node is calculated and simulated based on the material constitutive-service cycle approximation model and the material creep-service cycle approximation model fitted in step S103. The specific process is as follows: Using the Marc platform, the material constitutive-service number approximation model and the material creep-service number approximation model are divided into quadrilateral meshes, with a typical mesh size of 0.05 mm, to establish the cross-sectional finite element model; Furthermore, such as Figure 7-9 As shown, a compression condition is set, such as setting the compression load (forced displacement) according to the actual state of the product (theoretical closed state of the opening and closing parts), and then performing sealing calculations. For example, a pressure load is added to the product sealing boundary (i.e., the cross-sectional finite element model) to examine whether the seal fails under pressure, and then the material parameters are extracted.

[0046] In summary, the sealing performance design method for service sealing strips proposed in the embodiments of this application has the following beneficial effects: (1) Comprehensive consideration of product status: able to consider the initial state of the product and changes in product status at any point in its life cycle; (2) Comprehensive consideration of operating conditions: corresponding parameter trends are fitted based on the service process parameter data throughout the entire life cycle; (3) Comprehensive consideration of performance influencing factors: taking into account the material constitutive parameters and creep parameters throughout the entire service life.

[0047] Next, referring to the accompanying drawings, the device for designing the sealing performance of the service sealing strip according to the embodiments of this application is described.

[0048] Figure 10 This is a block diagram illustrating a sealing performance design device for a service sealing strip, as provided in an embodiment of this application.

[0049] like Figure 10 As shown, the sealing performance design device 100 for the service sealing strip includes: a data acquisition module 1001, a feature fitting module 1002, a parameter fitting module 1003, and a sealing calculation module 1004.

[0050] The system comprises the following modules: Acquisition module 1001 collects test data of the target sealing strip components, including stiffness-service count samples and compression time-service count samples. Feature fitting module 1002 performs key characteristic curve fitting on the test data to obtain stiffness-service count sample set curves and compression time-service count sample set curves. Parameter fitting module 1003 performs parameter fitting on the stiffness-service count sample set curves and compression time-service count sample set curves according to the life cycle nodes to be tested, respectively, to obtain approximate material constitutive-service count models and approximate material creep-service count models. Sealing calculation module 1004 performs sealing calculations on the approximate material constitutive-service count models and approximate material creep-service count models to extract material parameters.

[0051] In some embodiments, the acquisition module 1001 includes: The cutting unit is used to arbitrarily cut out sealing strip samples from the target sealing strip component; The compression test unit is used to perform N cycles of compression tests on the sealing strip sample using a compression test bench with a pre-set sealing strip length to obtain a compressed sample; The first building block is used to measure the stiffness of the compressed sample in order to build a stiffness-service count sample. The second building unit is used to perform static pressure on the compressed sample for a preset time using a pre-sealed strip length compression test bench to obtain a static pressure sample and to build a compression time-service number sample.

[0052] In some embodiments, the parameter fitting module 1003 includes: The preprocessing unit is used to preprocess the target input conditions to create a cube mesh; The first rigid surface building element is used to create a first rigid surface on the cube mesh, and the center point of the first rigid surface is used to establish the first rigid surface element reference point. The second rigid surface building element is used to create a second rigid surface under the cube mesh, and the center point of the second rigid surface is used to establish the reference point of the second rigid surface element; Finite element spline construction element is used to construct a hyperelastic finite element spline model based on the reference points of the first rigid surface element and the second rigid surface element, and to define the initial parameters and compression conditions of the hyperelastic finite element spline model. The first parameter fitting unit is used to perform parameter fitting based on the hyperelastic finite element spline model and the stiffness-service number sample set curve to obtain an approximate model of material constitutive-service number. The second parameter fitting unit is used to perform parameter fitting based on the hyperelastic finite element spline model and the compression time-service number sample set curve to obtain an approximate model of material creep-service number.

[0053] In some embodiments, the sealing calculation module 1004 includes: The element division is used to divide the material constitutive-service number approximation model and the material creep-service number approximation model into quadrilateral meshes to obtain the cross-sectional finite element model; The calculation and extraction unit is used to perform compression and sealing calculations on the cross-sectional finite element model to extract material parameters.

[0054] It should be noted that the foregoing explanation of the embodiment of the service sealing strip sealing performance design method also applies to the service sealing strip sealing performance design device of this embodiment, and will not be repeated here.

[0055] The sealing performance design device for service sealing strips proposed in the embodiments of this application has the following beneficial effects: (1) Comprehensive consideration of product status: able to consider the initial state of the product and changes in product status at any point in its life cycle; (2) Comprehensive consideration of operating conditions: corresponding parameter trends are fitted based on the service process parameter data throughout the entire life cycle; (3) Comprehensive consideration of performance influencing factors: taking into account the material constitutive parameters and creep parameters throughout the entire service life.

[0056] Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0057] The electronic device may include: a memory 1101, a processor 1102, and a computer program stored on the memory 1101 and capable of running on the processor 1102.

[0058] When the processor 1102 executes the program, it implements the service sealing performance design method of the sealing strip provided in the above embodiments.

[0059] Furthermore, electronic devices also include: Communication interface 1103 is used for communication between memory 1101 and processor 1102.

[0060] The memory 1101 is used to store computer programs that can run on the processor 1102.

[0061] The memory 1101 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage.

[0062] If the memory 1101, processor 1102, and communication interface 1103 are implemented independently, then the communication interface 1103, memory 1101, and processor 1102 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 11 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0063] Optionally, in a specific implementation, if the memory 1101, processor 1102, and communication interface 1103 are integrated on a single chip, then the memory 1101, processor 1102, and communication interface 1103 can communicate with each other through an internal interface.

[0064] The processor 1102 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0065] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for designing the sealing performance of service sealing strips.

[0066] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0067] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0068] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0070] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0071] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0072] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0073] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for designing the sealing performance of a service sealing strip, characterized in that, Includes the following steps: Collect test data of the target sealing strip components, wherein the test data includes stiffness-service count samples and compression time-service count samples; The test data were fitted with key characteristic curves to obtain stiffness-service count sample set curves and compression time-service count sample set curves. Based on the life cycle nodes to be tested, the stiffness-service count sample set curves and the compression time-service count sample set curves are respectively fitted with parameters to obtain the material constitutive-service count approximation model and the material creep-service count approximation model. The material constitutive-service-number approximation model and the material creep-service-number approximation model are subjected to sealing calculations to extract material parameters.

2. The method for designing the sealing performance of the service sealing strip according to claim 1, characterized in that, The test data collected for the target sealing strip components include: A sealing strip sample is arbitrarily cut from the target sealing strip component; The sealing strip sample was subjected to N cycles of compression testing using a pre-sealed strip length compression test bench to obtain a compressed sample; The stiffness of the compressed sample is measured to construct the stiffness-service count sample; The compression sample is subjected to static pressure for a preset time using a pre-sealed strip length compression test bench to obtain a static pressure sample, and the compression time-service number sample is constructed.

3. The method for designing the sealing performance of the service sealing strip according to claim 1, characterized in that, The process involves fitting parameters to the stiffness-service count sample set curve and the compression time-service count sample set curve based on the life cycle nodes to be tested, respectively, to obtain an approximate material constitutive-service count model and a material creep-service count model, including: The target input conditions are preprocessed to create a cubic mesh; A first rigid surface is established on the cube mesh, and a first rigid surface element reference point is established at the center point of the first rigid surface; A second rigid surface is established below the cube mesh, and a second rigid surface element reference point is established at the center point of the second rigid surface; A hyperelastic finite element spline model is constructed based on the first rigid surface element reference point and the second rigid surface element reference point, and the initial parameters and compression conditions of the hyperelastic finite element spline model are defined. The parameters are fitted based on the hyperelastic finite element spline model and the stiffness-service number sample set curve to obtain the material constitutive-service number approximation model; The parameters are fitted using the hyperelastic finite element spline model and the compression time-service number sample set curve to obtain the approximate model of material creep-service number.

4. The method for designing the sealing performance of the service sealing strip according to claim 1, characterized in that, The process of performing sealed calculations on the material constitutive-service-number approximation model and the material creep-service-number approximation model to extract material parameters includes: The material constitutive-service number approximation model and the material creep-service number approximation model are divided into quadrilateral meshes to obtain the cross-sectional finite element model; Compression and sealing calculations were performed on the finite element model of the cross section to extract the material parameters.

5. A device for designing the sealing performance of a service sealing strip, characterized in that, include: The data acquisition module is used to acquire test data of the target sealing strip components, wherein the test data includes stiffness-service count samples and compression time-service count samples; The feature fitting module is used to fit the key characteristic curves of the test data to obtain the stiffness-service number sample set curve and the compression time-service number sample set curve. The parameter fitting module is used to perform parameter fitting on the stiffness-service count sample set curve and the compression time-service count sample set curve according to the life cycle node to be tested, so as to obtain the material constitutive-service count approximate model and the material creep-service count approximate model. The sealing calculation module is used to perform sealing calculations on the material constitutive-service number approximation model and the material creep-service number approximation model to extract material parameters.

6. The sealing performance design device for the service sealing strip according to claim 5, characterized in that, The acquisition module includes: The cutting unit is used to arbitrarily cut out a sealing strip sample from the target sealing strip component; A compression test unit is used to perform N cyclic compression tests on the sealing strip sample using a pre-sealed strip length compression test bench to obtain a compressed sample; The first construction unit is used to measure the stiffness of the compressed sample in order to construct the stiffness-service count sample; The second construction unit is used to apply static pressure to the compressed sample for a preset time using a compression test bench with a pre-sealed strip length, so as to obtain a static pressure sample and construct the compression time-service number sample.

7. The sealing performance design device for service sealing strips according to claim 5, characterized in that, The parameter fitting module includes: The preprocessing unit is used to preprocess the target input conditions to create a cube mesh; A first rigid surface construction unit is used to establish a first rigid surface on the cube mesh, and to establish a first rigid surface unit reference point at the center point of the first rigid surface; The second rigid surface construction unit is used to establish a second rigid surface under the cube mesh, and to establish a second rigid surface unit reference point at the center point of the second rigid surface; A finite element spline construction unit is used to construct a hyperelastic finite element spline model based on the first rigid surface element reference point and the second rigid surface element reference point, and to define the initial parameters and compression conditions of the hyperelastic finite element spline model. The first parameter fitting unit is used to perform parameter fitting based on the hyperelastic finite element spline model and the stiffness-service number sample set curve to obtain the material constitutive-service number approximate model. The second parameter fitting unit is used to perform parameter fitting based on the hyperelastic finite element spline model and the compression time-service number sample set curve to obtain the approximate model of material creep-service number.

8. The sealing performance design device for the service sealing strip according to claim 5, characterized in that, The sealing calculation module includes: The partitioning unit is used to divide the material constitutive-service number approximation model and the material creep-service number approximation model into quadrilateral meshes to obtain the cross-sectional finite element model; The calculation and extraction unit is used to perform compression and sealing calculations on the cross-sectional finite element model to extract the material parameters.

9. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the service sealing strip sealing performance design method as described in any one of claims 1-4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the service sealing strip sealing performance design method as described in any one of claims 1-4.

Images