Shock absorber fork life prediction method and device, electronic equipment and storage medium

By acquiring a 3D model of the shock absorber fork assembly, performing pre-simulation processing and mesh generation, and simulating bolt clamping conditions, the problems of low accuracy and low efficiency in fatigue life simulation testing of the shock absorber fork were solved, achieving high-precision fatigue life prediction and structural optimization design.

CN121598618APending Publication Date: 2026-03-03CHINA FAW CO LTD
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Patent Information

Application Number
CN202511783027.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-30
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Existing technologies suffer from low accuracy and efficiency in fatigue life simulation testing of shock absorber forks. The modeling process is cumbersome, consumes a lot of computational resources, and has low model debugging efficiency. It is also prone to introducing human error, making it difficult to meet the needs of high-efficiency automotive R&D.

Method used

By obtaining a 3D model of the shock absorber fork assembly, pre-simulation processing is performed. The mesh is generated using second-order tetrahedral elements and first-order hexahedral elements. The assembly relationships of bolts, nuts, shock absorber outer sleeves, etc. are established, and the bolt clamping condition is simulated to determine the fatigue life.

Benefits of technology

It improves simulation accuracy, shortens modeling and calculation time, guides the structural optimization design of shock absorber forks, has high universality and practicality, and improves the accuracy and efficiency of fatigue life prediction.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of vehicles, in particular to a shock absorber fork service life prediction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a three-dimensional model of a shock absorber fork assembly; performing simulation pretreatment on the three-dimensional model to obtain a treated three-dimensional model, and performing simulation on the treated three-dimensional model under a preset bolt clamping working condition to obtain a simulation result; and determining the fatigue life of the shock absorber fork according to a simulation result. Therefore, the problems of low precision and low efficiency of the shock absorber fork fatigue life simulation test are solved, the modeling and calculation time can be shortened while the simulation precision is ensured, the structural optimization design of the shock absorber fork can be guided, and the method has relatively high universality and practicability.
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Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, device, electronic device and storage medium for predicting the life of a shock absorber fork. Background Technology

[0002] In the development of automotive suspension systems, the shock absorber fork, as a key force-transmitting component connecting the shock absorber to the stabilizer bar or control arm, directly affects the overall vehicle safety and service life due to its strength and fatigue durability.

[0003] The relevant technology constructs a complete suspension system model that includes a subframe, control arms, bushings, and shock absorbers, and uses beam elements to achieve stiffness equivalence for each component. It then applies an actual road load spectrum at the wheel center to simulate the boundary conditions under real durability conditions.

[0004] However, the relevant technologies suffer from the following drawbacks: First, they require stiffness calculations for each component and repeated adjustments to beam element diameters to achieve stiffness equivalence, making the modeling process cumbersome and time-consuming. Second, the system model incorporates numerous nonlinear elements such as bushings, resulting in large computational files, time-consuming solutions, and significant computational resource consumption. Furthermore, the complex beam-bushing connection system is prone to convergence difficulties, making fault diagnosis challenging and model debugging inefficient. Finally, simulation results are highly dependent on the rationality of stiffness equivalence and the accuracy of bushing parameters, and are susceptible to numerous influencing factors, making them prone to human error. In summary, these technologies lack engineering practicality and feasibility in the current automotive R&D environment that prioritizes high efficiency and short development cycles. Summary of the Invention

[0005] This application provides a method, device, electronic device, and storage medium for predicting the life of a shock absorber fork, in order to solve the problems of low accuracy and low efficiency in fatigue life simulation testing of shock absorber forks. This application can shorten the modeling and calculation time while ensuring simulation accuracy, and can guide the structural optimization design of shock absorber forks, and has high universality and practicality.

[0006] The first aspect of this application provides a method for predicting the lifespan of a shock absorber fork, comprising the following steps: Obtain a 3D model of the shock absorber fork assembly; The three-dimensional model is preprocessed for simulation to obtain the processed three-dimensional model. The processed three-dimensional model is then simulated under a preset bolt clamping condition to obtain simulation results. The fatigue life of the damper fork is determined based on the simulation results.

[0007] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors, wherein the shock absorber fork connectors include a stabilizer bar link, and the simulation of the processed three-dimensional model under a preset bolt clamping condition to obtain simulation results includes: Under the preset bolt clamping condition, a first load and a second load are applied to the target position of the processed three-dimensional model and the simulation result is obtained. The first load and the second load are in opposite directions. The target position is the connection point between the shock absorber fork body and the stabilizer bar link.

[0008] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and a plurality of shock absorber fork connectors, and before performing simulation preprocessing on the three-dimensional model, it includes: The three-dimensional model is meshed, wherein the shock absorber fork assembly adopts second-order tetrahedral elements, and the multiple shock absorber fork connectors adopt first-order hexahedral elements.

[0009] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors, each shock absorber fork connector including at least one bolt, at least one nut, a shock absorber outer sleeve assembly, and a stabilizer bar link. The pre-processing of the three-dimensional model to obtain the processed three-dimensional model includes: Based on the three-dimensional model, the material properties of the shock absorber fork body, the bolt, the nut, the shock absorber outer sleeve assembly, and the stabilizer bar connecting rod are determined; Based on the three-dimensional model, a first assembly relationship is established between the shock absorber fork body and the stabilizer bar connecting rod through a first bolt and a first nut; a second assembly relationship is established between the shock absorber fork body and the shock absorber outer sleeve rod through a second bolt and a second nut; and a third assembly relationship is established at the contact surface between the shock absorber fork body and the stabilizer bar connecting rod. Based on the three-dimensional model, the constraint conditions of the shock absorber fork body are determined, and the processed three-dimensional model is obtained according to the material properties, the first to third assembly relationships, and the constraint conditions.

[0010] Optionally, in some embodiments, after determining the fatigue life of the shock absorber fork based on the simulation results, the process includes: A fatigue life prediction result is generated, and a fatigue life reminder instruction is generated based on the fatigue life prediction result, so as to provide a reminder according to the fatigue life reminder instruction.

[0011] A second aspect of this application provides a life prediction device for a shock absorber fork, comprising: The acquisition module is used to acquire the 3D model of the shock absorber fork assembly; The simulation module is used to perform pre-simulation processing on the three-dimensional model to obtain the processed three-dimensional model. Under the preset bolt clamping condition, the processed three-dimensional model is simulated to obtain the simulation results. The prediction module is used to determine the fatigue life of the shock absorber fork based on the simulation results.

[0012] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and a plurality of shock absorber fork connectors, the shock absorber fork connectors including stabilizer bar links, and the simulation module includes: The simulation unit is used to apply a first load and a second load to the target position of the processed three-dimensional model under a preset bolt clamping condition and perform simulation to obtain the simulation result. The first load and the second load are in opposite directions, and the target position is the connection point between the shock absorber fork body and the stabilizer bar link.

[0013] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors. Before performing simulation preprocessing on the three-dimensional model, the simulation module includes: A meshing unit is used to mesh the three-dimensional model, wherein the shock absorber fork assembly adopts a second-order tetrahedral element, and the multiple shock absorber fork connectors adopt a first-order hexahedral element.

[0014] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and a plurality of shock absorber fork connectors, each shock absorber fork connector including at least one bolt, at least one nut, a shock absorber outer sleeve assembly, and a stabilizer bar link. The simulation module further includes: The first determining unit is used to determine the material properties of the shock absorber fork body, the bolt, the nut, the shock absorber outer sleeve assembly, and the stabilizer bar connecting rod based on the three-dimensional model. A unit is established based on the three-dimensional model to establish a first assembly relationship between the shock absorber fork body and the stabilizer bar link through a first bolt and a first nut; to establish a second assembly relationship between the shock absorber fork body and the shock absorber outer sleeve bar through a second bolt and a second nut; and to establish a third assembly relationship at the contact surface between the shock absorber fork body and the stabilizer bar link. The second determining unit is used to determine the constraint conditions of the shock absorber fork body based on the three-dimensional model, and to obtain the processed three-dimensional model according to the material properties, the first to third assembly relationships and the constraint conditions.

[0015] Optionally, in some embodiments, after determining the fatigue life of the shock absorber fork based on the simulation results, the prediction module includes: The prediction unit is used to generate fatigue life prediction results and generate fatigue life reminder instructions based on the fatigue life prediction results, so as to provide reminders according to the fatigue life reminder instructions.

[0016] 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 life prediction method for a shock absorber fork as described in the above embodiments.

[0017] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the life prediction method for a shock absorber fork as described in the above embodiments.

[0018] Therefore, a three-dimensional model of the shock absorber fork assembly is obtained; the three-dimensional model is pre-processed for simulation to obtain a processed three-dimensional model; simulation is performed on the processed three-dimensional model under a preset bolt clamping condition to obtain simulation results; and the fatigue life of the shock absorber fork is determined based on the simulation results. This solves the problems of low accuracy and low efficiency in the simulation test of shock absorber fork fatigue life. This application can shorten the modeling and calculation time while ensuring simulation accuracy, and can guide the structural optimization design of shock absorber forks, possessing high universality and practicality.

[0019] 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

[0020] 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 schematic diagram of a shock absorber fork in related technologies; Figure 2 This is a schematic diagram of a durability calculation model for a shock absorber fork in related technologies. Figure 3 This is a flowchart of a method for predicting the lifespan of a shock absorber fork according to an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a shock absorber fork according to an embodiment of this application; Figure 5 This is a schematic diagram of the hard point location of a shock absorber fork according to an embodiment of this application; Figure 6 This is a schematic diagram showing the positional connection relationship of the shock absorber fork stabilizer bar linkage according to an embodiment of this application; Figure 7This is a schematic diagram showing the connection relationship of the shock absorber fork and the outer sleeve according to an embodiment of this application; Figure 8 This is a schematic diagram of the boundary conditions of a damper fork according to an embodiment of this application; Figure 9 This is a schematic diagram of the dangerous location of a shock absorber fork under durability conditions according to one embodiment of this application; Figure 10 This is a schematic diagram of a shock absorber fork calculation model provided according to an embodiment of this application; Figure 11 This is a block diagram of a life prediction device for a shock absorber fork provided according to an embodiment of this application; Figure 12 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0021] 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.

[0022] Before introducing the life prediction method for the shock absorber fork according to the embodiments of this application, let's first introduce the life prediction method for the shock absorber fork in the related art.

[0023] like Figure 1 As shown, the related technology provides a calculation method for the durability condition of a shock absorber fork, combined with... Figure 2 As shown, a portion of the shock absorber fork is cut off, constrained to 16 degrees of freedom, and a multibody load is applied to the stabilizer link. The local stress of the shock absorber fork lug under different load conditions is calculated. Using FEMFAT software, the number of cycles is input to calculate the damage to the shock absorber fork lug. Based on the evaluation criteria, it is determined whether the shock absorber fork lug meets the durability requirements.

[0024] However, the relevant technology has the following defects: (1) The bolts at the connection position between the damper fork and the stabilizer rod are not considered. Instead, a rigid unit connection is adopted, ignoring the stress change of the damper fork during the bolt clamping process. At the same time, the use of rigid units will also cause local stress concentration of the damper fork; (2) The bolts at the connection position between the damper fork and the damper outer sleeve are not considered, thus ignoring the influence of the bolt clamping on the stress distribution at the position of the damper fork lug, which may lead to misjudgment of dangerous positions or higher calculated fatigue life; (3) The connection method treats the damper fork and the damper outer sleeve as a whole, without considering the sliding contact relationship between the damper fork and the damper outer sleeve. As a result, the strength of the connection position between the damper fork and the damper outer sleeve is strengthened, resulting in inaccurate calculation results; (4) There are no constraints on the position of the damper upper point, which does not match the actual situation and the boundary conditions are unreasonable. In summary, the relevant technologies have difficulty identifying the dangerous locations of the shock absorber fork in the endurance working condition, and the calculated fatigue life is too high. In the process of endurance test verification, quality problems such as shock absorber fork fracture are prone to occur.

[0025] To address the aforementioned problems, this application provides a method for predicting the lifespan of a shock absorber fork. In this method, a three-dimensional model of the shock absorber fork assembly is obtained; the three-dimensional model undergoes pre-simulation processing to obtain a processed three-dimensional model; simulation is performed on the processed three-dimensional model under a preset bolt clamping condition to obtain simulation results; and the fatigue life of the shock absorber fork is determined based on the simulation results. This solves the problems of low accuracy and low efficiency in the simulation testing of shock absorber fork fatigue life. This application can shorten modeling and calculation time while ensuring simulation accuracy, and can guide the structural optimization design of the shock absorber fork, possessing high universality and practicality.

[0026] Specifically, Figure 3 This is a flowchart illustrating a method for predicting the lifespan of a shock absorber fork, as provided in an embodiment of this application.

[0027] like Figure 3 As shown, the life prediction method for this shock absorber fork includes the following steps: In step S101, a three-dimensional model of the shock absorber fork assembly is obtained.

[0028] The shock absorber fork assembly includes the shock absorber fork body and multiple shock absorber fork connectors. The shock absorber fork connectors may include at least one bolt, at least one nut, a shock absorber outer sleeve assembly, and a stabilizer bar link. The three-dimensional model of the shock absorber fork assembly is a three-dimensional model of the shock absorber fork body and the bolts, nuts, shock absorber outer sleeves, and other structures connected to it.

[0029] Specifically, embodiments of this application can obtain a pre-designed three-dimensional model of the shock absorber fork assembly, combined with... Figure 4 and Figure 5 As shown, Figure 4 This is a schematic diagram of the shock absorber fork assembly. Figure 5 This is a schematic diagram of the hard point location of the shock absorber fork. The upper part of the shock absorber fork is connected to the outer cylinder of the shock absorber by bolt clamping, and the lower part is connected to the control arm by bushing. It is also connected to the stabilizer bar connecting rod by bolt.

[0030] Therefore, by obtaining a complete three-dimensional model of the shock absorber fork assembly, the embodiments of this application can solve the problem of insufficient accuracy caused by excessive simplification of the model in the simulation of the shock absorber fork. It can accurately simulate complex physical behaviors such as bolt pre-tightening and sliding contact between components, thereby significantly improving the accuracy of stress distribution calculation at the dangerous position (ear arm) of the shock absorber fork.

[0031] In step S102, the three-dimensional model is preprocessed for simulation to obtain the processed three-dimensional model. Under the preset bolt clamping condition, the processed three-dimensional model is simulated to obtain the simulation results.

[0032] The preset bolt clamping condition involves applying an axial clamping force corresponding to the bolt's specification grade to the bolt pre-tightening surface to simulate the preload state generated during actual assembly.

[0033] Optionally, in some embodiments, the damper fork assembly includes a damper fork body and multiple damper fork connectors. Before performing simulation preprocessing on the three-dimensional model, the process includes: meshing the three-dimensional model, wherein the damper fork assembly uses second-order tetrahedral elements and the multiple damper fork connectors use first-order hexahedral elements.

[0034] Specifically, in this embodiment, Hypermesh finite element software can be used for geometry cleanup and finite element mesh generation. The damper fork uses second-order tetrahedral elements, while the bolts, nuts, and damper outer sleeve use first-order hexahedral elements. The second-order tetrahedral element is a tetrahedral finite element mesh type with a quadratic interpolation function. Its nodes include vertices and edge midpoints, which can more accurately describe complex geometric surfaces and stress gradients. The first-order hexahedral element is a linearly interpolated hexahedral (brick-shaped) mesh, which has high computational efficiency and stable stiffness performance, and is suitable for geometrically regular components with gradual stress changes.

[0035] Therefore, the meshing strategy in this application balances computational accuracy and performance. The shock absorber fork body (especially the lug region) has a complex geometry and exhibits significant stress concentration and gradient changes under durability conditions. Using second-order tetrahedral elements can effectively capture local high-gradient stress fields, avoiding stress underestimation or convergence difficulties caused by insufficient element order. Bolts, nuts, and outer sleeves, on the other hand, are typically geometrically regular and primarily bear axial or shear loads, resulting in relatively uniform stress distribution. Using first-order hexahedral elements not only meets accuracy requirements but also significantly reduces the total number of elements and model size, thereby improving overall computational efficiency.

[0036] Furthermore, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors. Each shock absorber fork connector includes at least one bolt, at least one nut, a shock absorber outer sleeve assembly, and a stabilizer bar link. The three-dimensional model is pre-processed for simulation to obtain a processed three-dimensional model, including: determining the material properties of the shock absorber fork body, bolt, nut, shock absorber outer sleeve assembly, and stabilizer bar link based on the three-dimensional model; establishing a first assembly relationship between the shock absorber fork body and stabilizer bar link using a first bolt and a first nut, establishing a second assembly relationship between the shock absorber fork body and shock absorber outer sleeve link using a second bolt and a second nut, and establishing a third assembly relationship at the contact surface between the shock absorber fork body and stabilizer bar link; and determining the constraint conditions of the shock absorber fork body based on the three-dimensional model, and obtaining the processed three-dimensional model according to the material properties, the first to third assembly relationships, and the constraint conditions.

[0037] Specifically, the linear material properties of the damper fork and the bolts, nuts, and damper outer sleeve assembly connected thereto are defined; the first assembly relationship between the bolts at the connection positions of the damper fork and the stabilizer bar is established; the second assembly relationship between the bolts at the connection positions of the damper fork and the damper outer sleeve is established; and the third assembly relationship between the damper fork and the damper outer sleeve is established, wherein RBE3 elements are established between the bolts and the upper points of the stabilizer bar, and RBE2 elements are established between the upper points of the damper outer sleeve and the damper fork; and the constraint conditions of the damper fork are determined.

[0038] Specifically, in this application embodiment, a first assembly relationship is established between the bolts at the connection position of the shock absorber fork and the stabilizer bar link as follows: Figure 6 As shown, Figure 6 'a' represents the establishment of a sliding contact relationship between the shock absorber fork and the nut. Figure 6 b represents the establishment of a sliding contact relationship between the shock absorber fork and the bolt; Figure 6 c is used to establish a binding constraint connection between the bolt and the nut, and to apply a clamping force corresponding to the bolt grade on the preload surface of the bolt.

[0039] This application embodiment establishes a second assembly relationship between the bolts connecting the shock absorber fork and the shock absorber outer sleeve, as follows: Figure 7 As shown, Figure 7 b represents the establishment of a sliding contact relationship between the shock absorber fork and the bolt; Figure 7 c represents the establishment of a sliding contact relationship between the shock absorber fork and the nut; Figure 7 d represents the binding constraint connection established between the bolt and nut, applying a clamping force corresponding to the bolt grade to the preload surface of the bolt; in this embodiment, a third assembly relationship is established between the shock absorber fork and the shock absorber outer sleeve as follows: Figure 7 As shown in Figure a, a sliding contact relationship is established between the shock absorber fork and the shock absorber outer sleeve.

[0040] This application's embodiments constrain the degrees of freedom in the directions of the shock absorber fork cut-off ends 1 to 3 and points 2 to 3 on the shock absorber fork in the vehicle coordinate system, such as... Figure 8 As shown.

[0041] Therefore, this application establishes the assembly relationship between the bolts connecting the shock absorber fork and the stabilizer bar link, thereby accurately simulating the connection between the two during wheel bounce and more realistically simulating the force on the shock absorber fork, improving simulation accuracy. In addition, the assembly relationship between the bolts connecting the shock absorber fork and the shock absorber outer sleeve is established. Since the critical location for the shock absorber fork's durability is at the lug, such as... Figure 9 As shown, the clamping of the bolts at the outer sleeve of the shock absorber generates stress at the lug of the shock absorber fork. If this bolt clamping is not considered, the stress at the lug will be too low, resulting in an overestimation of fatigue life and low calculation accuracy. This embodiment considers the bolt clamping process, which can more realistically simulate the stress distribution at the lug, and the simulated fatigue life is closer to the actual life, thus improving simulation accuracy. Furthermore, a sliding contact relationship is established between the shock absorber fork and the outer sleeve, rather than a binding connection, to realistically simulate the stress state of the contact area of ​​the shock absorber fork. Reasonable constraints are defined based on the actual boundary conditions.

[0042] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors. The shock absorber fork connectors include a stabilizer bar link. Under a preset bolt clamping condition, the processed three-dimensional model is simulated to obtain simulation results, including: under the preset bolt clamping condition, applying a first load and a second load to the target position of the processed three-dimensional model and performing simulation to obtain simulation results. The directions of the first load and the second load are opposite, and the target position is the connection point between the shock absorber fork body and the stabilizer bar link.

[0043] Specifically, to avoid simulation distortion caused by ignoring the bolt clamping effect, the embodiments of this application, under the preset bolt clamping condition, apply a first load to the shock absorber fork when the left wheel jumps up and the right wheel jumps down at the point on the stabilizer bar link of the shock absorber fork, and a second load to the shock absorber fork when the right wheel jumps up and the left wheel jumps down at the point on the stabilizer bar link of the shock absorber fork.

[0044] Therefore, the embodiments of this application can more accurately reproduce the dynamic excitation characteristics of the stabilizer bar linkage on the shock absorber fork under actual vehicle conditions, and are particularly helpful in capturing the complex stress amplitude and cyclic characteristics of key areas such as the root of the lug arm. This not only improves the input accuracy of fatigue damage calculation, but also enhances the reliability of dangerous location identification.

[0045] In step S103, the fatigue life of the damper fork is determined based on the simulation results.

[0046] Specifically, such as Figure 10 As shown in the embodiment of this application, the simulation calculation file is submitted to the finite element software for calculation, the displacement and stress of the damper fork are output, and fatigue life analysis is performed based on the simulation results. A set of stress fields corresponding to the first load and the second load are read into the fatigue analysis software to calculate the fatigue life of the damper fork.

[0047] Optionally, in some embodiments, after determining the fatigue life of the shock absorber fork based on the simulation results, the method includes: generating a fatigue life prediction result, and generating a fatigue life reminder instruction based on the fatigue life prediction result, so as to provide a reminder according to the fatigue life reminder instruction.

[0048] Specifically, after completing the fatigue life calculation, the system automatically compares the predicted results with the preset design specifications. If the predicted life is not up to standard or the safety margin is insufficient, it determines that there is a risk of structural failure and immediately generates a standardized fatigue life reminder instruction. By introducing an automatic generation and intelligent reminder mechanism for fatigue life prediction results, the proactive early warning capability and collaborative efficiency of the product development process are significantly improved. On the one hand, it avoids risk omissions caused by human error or experience bias; on the other hand, it directly transforms fatigue performance evaluation results into executable engineering instructions, accelerating the closed-loop processing of problems.

[0049] The fatigue life calculation method for the shock absorber fork in this application effectively solves two core problems in the prior art: Firstly, compared to single-piece simulation methods, this application explicitly models the connecting bolts between the shock absorber fork, the stabilizer bar, and the shock absorber outer sleeve, realistically reproducing the initial stress state at the fork lug under bolt clamping conditions and the connection force transmission relationship during wheel bounce. This allows for reasonable setting of boundary conditions and significantly improves the simulation accuracy of stress distribution, dangerous location identification, and fatigue life prediction. Secondly, compared to full-system simulation methods, this invention focuses on the shock absorber fork assembly containing key connecting components, avoiding redundant component modeling. While ensuring accuracy, it significantly simplifies the model size, effectively overcoming problems such as complex system modeling, long cycle, error susceptibility, high computational resource consumption, long processing time, and difficulty in convergence. In summary, this method achieves a good balance between high simulation accuracy and high computational efficiency, compensating for the distortion defects of single-piece simulation while avoiding the inefficiencies of system simulation.

[0050] The method for predicting the lifespan of a shock absorber fork proposed in this application involves obtaining a three-dimensional model of the shock absorber fork assembly; performing pre-simulation processing on the three-dimensional model to obtain a processed three-dimensional model; simulating the processed three-dimensional model under a preset bolt clamping condition to obtain simulation results; and determining the fatigue life of the shock absorber fork based on the simulation results. This solves the problems of low accuracy and low efficiency in the simulation testing of shock absorber fork fatigue life. This application can shorten modeling and calculation time while ensuring simulation accuracy, and can guide the structural optimization design of the shock absorber fork, possessing high universality and practicality.

[0051] Next, with reference to the accompanying drawings, a life prediction device for a shock absorber fork according to an embodiment of this application is described.

[0052] Figure 11 This is a block diagram of the life prediction device for the shock absorber fork according to an embodiment of this application.

[0053] like Figure 11 As shown, the life prediction device 10 for the shock absorber fork includes: an acquisition module 100, a simulation module 200, and a prediction module 300.

[0054] The acquisition module 100 is used to acquire the three-dimensional model of the shock absorber fork assembly.

[0055] The simulation module 200 is used to perform pre-simulation processing on the 3D model to obtain the processed 3D model. Under the preset bolt clamping conditions, the processed 3D model is simulated to obtain the simulation results.

[0056] The prediction module 300 is used to determine the fatigue life of the shock absorber fork based on the simulation results.

[0057] Optionally, in some embodiments, the damper fork assembly includes a damper fork body and a plurality of damper fork connectors, the damper fork connectors including stabilizer bar links, and the simulation module 200 includes: a simulation unit.

[0058] The simulation unit is used to apply a first load and a second load to the target position of the processed three-dimensional model under a preset bolt clamping condition and to perform simulation to obtain simulation results. The first load and the second load are in opposite directions, and the target position is the connection point between the shock absorber fork body and the stabilizer bar link.

[0059] Optionally, in some embodiments, the damper fork assembly includes a damper fork body and multiple damper fork connectors. Before performing simulation preprocessing on the three-dimensional model, the simulation module 300 includes: partitioning units.

[0060] The meshing element is used to mesh the 3D model. The shock absorber fork assembly uses second-order tetrahedral elements, while multiple shock absorber fork connectors use first-order hexahedral elements.

[0061] Optionally, in some embodiments, the shock absorber fork assembly includes a shock absorber fork body and a plurality of shock absorber fork connectors. The shock absorber fork connectors include at least one bolt, at least one nut, a shock absorber outer sleeve assembly, and a stabilizer bar link. The simulation module 300 further includes: a first determining unit, a establishing unit, and a second determining unit.

[0062] The first determining unit is used to determine the material properties of the shock absorber fork body, bolts, nuts, shock absorber outer sleeve assembly, and stabilizer bar connecting rod based on the three-dimensional model.

[0063] A unit is established based on a 3D model to establish a first assembly relationship between the shock absorber fork body and the stabilizer bar link using a first bolt and a first nut; a second assembly relationship between the shock absorber fork body and the shock absorber outer sleeve rod using a second bolt and a second nut; and a third assembly relationship between the contact surfaces between the shock absorber fork body and the stabilizer bar link.

[0064] The second determining unit is used to determine the constraint conditions of the shock absorber fork body based on the three-dimensional model, and to obtain the processed three-dimensional model according to the material properties, the first to third assembly relationships and the constraint conditions.

[0065] Optionally, in some embodiments, after determining the fatigue life of the shock absorber fork based on simulation results, the prediction module 300 includes: a prediction unit.

[0066] The prediction unit is used to generate fatigue life prediction results and generate fatigue life reminder instructions based on the fatigue life prediction results, so as to provide reminders according to the fatigue life reminder instructions.

[0067] It should be noted that the foregoing explanation of the life prediction method for the shock absorber fork also applies to the life prediction device for the shock absorber fork in this embodiment, and will not be repeated here.

[0068] The life prediction device for a shock absorber fork proposed in this application obtains a three-dimensional model of the shock absorber fork assembly; performs pre-simulation processing on the three-dimensional model to obtain a processed three-dimensional model; simulates the processed three-dimensional model under a preset bolt clamping condition to obtain simulation results; and determines the fatigue life of the shock absorber fork based on the simulation results. This solves the problems of low accuracy and low efficiency in the fatigue life simulation test of shock absorber forks. This application can shorten the modeling and calculation time while ensuring simulation accuracy, and can guide the structural optimization design of shock absorber forks, possessing high universality and practicality.

[0069] Figure 12 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 1201, the processor 1202, and the computer program stored on the memory 1201 and executable on the processor 1202.

[0070] When the processor 1202 executes the program, it implements the life prediction method for the shock absorber fork provided in the above embodiment.

[0071] Furthermore, electronic devices also include: Communication interface 1203 is used for communication between memory 1201 and processor 1202.

[0072] The memory 1201 is used to store computer programs that can run on the processor 1202.

[0073] The memory 1201 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0074] If the memory 1201, processor 1202, and communication interface 1203 are implemented independently, then the communication interface 1203, memory 1201, and processor 1202 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 12The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0075] Optionally, in a specific implementation, if the memory 1201, processor 1202, and communication interface 1203 are integrated on a single chip, then the memory 1201, processor 1202, and communication interface 1203 can communicate with each other through an internal interface.

[0076] The processor 1202 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of this application.

[0077] 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 predicting the lifespan of a shock absorber fork.

[0078] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are 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.

[0079] 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.

[0080] 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 more 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.

[0081] 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. For example, 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 (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0082] Those skilled in the art will understand that all or part of the steps of the methods 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, the program includes one or a combination of the steps of the method embodiments.

[0083] 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 predicting the lifespan of a shock absorber fork, characterized in that, Includes the following steps: Obtain a 3D model of the shock absorber fork assembly; The three-dimensional model is preprocessed for simulation to obtain the processed three-dimensional model. The processed three-dimensional model is then simulated under a preset bolt clamping condition to obtain simulation results. The fatigue life of the damper fork is determined based on the simulation results.

2. The method according to claim 1, characterized in that, The shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors. Each shock absorber fork connector includes a stabilizer bar link. The simulation results obtained by performing a simulation on the processed 3D model under a preset bolt clamping condition include: Under the preset bolt clamping condition, a first load and a second load are applied to the target position of the processed three-dimensional model and the simulation result is obtained. The first load and the second load are in opposite directions. The target position is the connection point between the shock absorber fork body and the stabilizer bar link.

3. The method according to claim 1, characterized in that, The shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors, and before performing simulation preprocessing on the three-dimensional model, it includes: The three-dimensional model is meshed, wherein the shock absorber fork assembly adopts second-order tetrahedral elements, and the multiple shock absorber fork connectors adopt first-order hexahedral elements.

4. The method according to claim 1, characterized in that, The shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors. Each shock absorber fork connector includes at least one bolt, at least one nut, a shock absorber outer sleeve assembly, and a stabilizer bar link. The pre-simulation processing of the three-dimensional model yields a processed three-dimensional model, including: Based on the three-dimensional model, the material properties of the shock absorber fork body, the bolt, the nut, the shock absorber outer sleeve assembly, and the stabilizer bar connecting rod are determined; Based on the three-dimensional model, a first assembly relationship is established between the shock absorber fork body and the stabilizer bar connecting rod through a first bolt and a first nut; a second assembly relationship is established between the shock absorber fork body and the shock absorber outer sleeve rod through a second bolt and a second nut; and a third assembly relationship is established at the contact surface between the shock absorber fork body and the stabilizer bar connecting rod. Based on the three-dimensional model, the constraint conditions of the shock absorber fork body are determined, and the processed three-dimensional model is obtained according to the material properties, the first to third assembly relationships, and the constraint conditions.

5. The method according to claim 1, characterized in that, After determining the fatigue life of the damper fork based on the simulation results, the process includes: A fatigue life prediction result is generated, and a fatigue life reminder instruction is generated based on the fatigue life prediction result, so as to provide a reminder according to the fatigue life reminder instruction.

6. A life prediction device for a shock absorber fork, characterized in that, include: The acquisition module is used to acquire the 3D model of the shock absorber fork assembly; The simulation module is used to perform pre-simulation processing on the three-dimensional model to obtain the processed three-dimensional model. Under the preset bolt clamping condition, the processed three-dimensional model is simulated to obtain the simulation results. The prediction module is used to determine the fatigue life of the shock absorber fork based on the simulation results.

7. The apparatus according to claim 6, characterized in that, The shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors, each shock absorber fork connector including a stabilizer bar link. The simulation module includes: The simulation unit is used to apply a first load and a second load to the target position of the processed three-dimensional model under a preset bolt clamping condition and perform simulation to obtain the simulation result. The first load and the second load are in opposite directions, and the target position is the connection point between the shock absorber fork body and the stabilizer bar link.

8. The apparatus according to claim 6, characterized in that, The shock absorber fork assembly includes a shock absorber fork body and multiple shock absorber fork connectors. Before performing simulation preprocessing on the three-dimensional model, the simulation module includes: A meshing unit is used to mesh the three-dimensional model, wherein the shock absorber fork assembly adopts a second-order tetrahedral element, and the multiple shock absorber fork connectors adopt a first-order hexahedral element.

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 life prediction method for a shock absorber fork as described in any one of claims 1-5.

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 life prediction method for the shock absorber fork as described in any one of claims 1-5.