A method for optimizing the anti-vibration of a FPC connector cover

Abstract

The application relates to an anti-vibration optimization method for an FPC connector cover, which comprises the following steps: obtaining initial stress distribution data of the connector cover in a closed state, wherein the initial stress distribution data are used for determining stress concentration areas; obtaining dynamic stress distribution of the multi-point distributed locking structure under vibration conditions through simulation analysis, wherein the dynamic stress distribution shows stress dispersion effects; adjusting the geometric shape and spatial position of the asymmetrically distributed locking points according to the dynamic stress distribution; introducing a pre-pressing elastic element, which provides lateral compression force after engaging with the locking point; performing lightweight design on the overall structure of the connector containing the pre-pressing elastic element, and controlling the size; obtaining the final operating force curve and anti-vibration simulation data of the optimized structure, and judging whether the operating force peak value and the contact resistance fluctuation meet preset conditions.

Description

Technical Field

[0001] This invention relates to the field of FPC connectors, and more particularly to a vibration-damping optimization method for an FPC connector flip cover. Background Technology

[0002] Flexible circuit board (FPC) connectors, as core components for signal transmission and module interconnection in electronic devices, play a crucial role in automotive electronics, industrial automation, and portable smart terminals. As these applications demand increasing reliability and stability, connectors must maintain a secure connection between the FPC and the connector under various complex environments. Currently widely used rear-hinged FPC connectors primarily rely on a single-point or limited number of latching structures after the hinge is closed for locking. Under continuous or impact vibrations, these latches are prone to slight displacement or elastic fatigue, leading to loosening of the hinge or even localized springback. Especially in automotive environments or industrial settings, where equipment is subjected to random vibrations ranging from 10Hz to 2000Hz for extended periods, the single-point force-concentrated locking structure struggles to withstand these repetitive forces, resulting in unstable contact resistance, signal interruptions, and other malfunctions.

[0003] To compensate for this deficiency, some products enhance retention by increasing the locking force of the latches. However, with increased locking force, operators need to apply significantly more force when opening or closing the cover, resulting in a stiffer and more strenuous feel. A bigger problem lies in the irreconcilable contradiction between locking force and operating force: insufficient locking force leads to inadequate vibration resistance and easy loosening; excessive locking force makes opening the cover difficult, and repeated operation can cause material fatigue, leading to rapid attenuation of the locking force and decreased reliability over long-term use. Furthermore, existing multi-point locking solutions often rely on additional linkage mechanisms or complex geometries, significantly increasing the overall size of the connector, which contradicts the current trend towards miniaturization in electronic products.

[0004] Therefore, how to make the flip cover easy to open and close while maintaining the miniaturization of the connector, and how to achieve stable and non-jumping self-locking under strong vibration environment, has become a key problem that urgently needs to be solved in the design of rear-flip FPC connectors. Summary of the Invention

[0005] This invention provides a vibration-damping optimization method for FPC connector flip covers, mainly including:

[0006] The initial force distribution data of the connector cover in the closed state is obtained, and the initial force distribution data is used to determine the stress concentration area. Based on the initial force distribution data, it is determined whether the stress concentration area exceeds the material fatigue threshold. If it does, the single-point locking structure is determined to be a weak link in vibration resistance. For the weak link in vibration resistance, a multi-point distributed locking structure design is adopted. The multi-point distributed locking structure sets at least two asymmetrically distributed locking points on the closing trajectory of the cover. The dynamic stress distribution of the multi-point distributed locking structure under vibration conditions is obtained through simulation analysis. The dynamic stress distribution shows the stress dispersion effect. Based on the dynamic stress distribution, the geometry and spatial position of the asymmetrically distributed locking points are adjusted. A pre-compression elastic element is introduced. The pre-compression elastic element provides lateral clamping force after the locking points are engaged. The overall connector structure including the pre-compression elastic element is designed to be lightweight and the external dimensions are controlled. The final operating force curve and vibration simulation data of the optimized structure are obtained, and it is determined whether the peak operating force and contact resistance fluctuation meet the preset conditions. Furthermore, obtaining the initial stress distribution data of the connector cover in the closed state includes: acquiring the geometric shape data of the connector cover through three-dimensional scanning, constructing a structural model in the closed state, and obtaining the precise position coordinates of the snap-fit ​​structure; setting boundary conditions based on the structural model, the boundary conditions including fixed constraints and load application of a preset vibration spectrum; performing mechanical simulation using the finite element analysis method, and outputting stress distribution cloud maps of each snap-fit ​​structure under the vibration spectrum; if the stress value in the stress distribution cloud map exceeds a preset threshold, identifying the region exceeding the threshold, and determining the location and range of the stress concentration region; extracting data from the stress concentration region to generate the initial stress distribution data. Furthermore, determining whether the stress concentration area exceeds the material fatigue threshold based on the initial stress distribution data includes: comparing stress values ​​point by point using a threshold comparison method based on the initial stress distribution data to determine the location of the part exceeding the material fatigue threshold; extracting deformation and displacement features from the multi-point locking structure of the connector cover for the location to determine the vibration response difference of the single-point locking structure; obtaining deformation data of the snap-fit ​​structure based on the vibration response difference to determine the overall vibration resistance stability of the multi-point locking structure; if the overall vibration resistance stability is lower than a preset threshold, then the single-point locking structure is determined to be a weak point in vibration resistance.Furthermore, the multi-point distributed locking structure design for the weak vibration-resistant link includes: obtaining asymmetric point data from the locking distribution of the weak vibration-resistant link; determining the multi-point structural layout using closed trajectory analysis, wherein the closed trajectory analysis determines the distribution uniformity by comparing the displacement differences on the lifting path; judging the vibration-resistant strengthening effect through the multi-point structural layout, wherein the judgment determines the stability of the locking position on the lifting path by comparing a preset threshold with the layout displacement value; and determining at least two asymmetrically distributed locking points based on the stability. Furthermore, the step of obtaining the dynamic stress distribution of the multi-point distributed locking structure under vibration conditions through simulation analysis includes: obtaining the multi-point structural layout data from vibration spectrum analysis, and determining the dynamic stress distribution using finite element simulation; obtaining the scattered locations of locking points by comparing displacement differences through the dynamic stress distribution, and determining an asymmetric distribution scheme; extracting stress concentration mitigation indices from the asymmetric distribution scheme, wherein the extraction is quantified by comparing the difference between the peak and average stress values; optimizing and adjusting the multi-point structural layout using closed trajectory, and judging the applicability of the vibration-strengthening mechanism; introducing material fatigue assessment through the vibration-strengthening mechanism, obtaining a stability judgment threshold, and determining the strengthening range of the distributed locking. Furthermore, adjusting the geometry and spatial position of the asymmetrically distributed locking points based on the dynamic stress distribution includes: obtaining the initial geometric contour and spatial coordinates of the asymmetrically distributed locking points from the dynamic stress distribution; adjusting the curvature parameters of the engagement guide surface based on the stress gradient change data for the initial geometric contour and spatial coordinates to obtain optimized engagement front-stage positioning data; simulating the cover-opening and closing process using the positioning data to obtain a continuous change curve of the operating force; identifying the peak force position and the steady-state force value after full engagement from the curve; and correcting the curvature parameters and spatial offset if the decrease is insufficient to generate a new geometric contour and spatial coordinate scheme. Furthermore, the introduction of the pre-compression elastic element includes: obtaining initial lateral clamping force distribution data from the multi-point distributed locking structure; configuring the pre-compression elastic element based on the distribution data, adjusting the element parameters to make the clamping force uniform after engagement at the locking point, and obtaining uniform clamping force configuration parameters; using the configuration parameters to input a material creep model to simulate the clamping force decay process over time and obtain a decay curve; extracting the force decay amount from the decay curve to determine the compensation requirement; calculating the additional clamping force amplitude based on the compensation requirement, correcting the element stiffness and pre-compression amount in the configuration parameters, and generating compensated working parameters; and verifying the compensation effect of the working parameters through simulation.Furthermore, the lightweight design of the overall connector structure including the pre-compression elastic element includes: obtaining initial topology data from the overall connector structure; applying a topology optimization algorithm to remove material from non-load-bearing areas to obtain an optimized structural profile; configuring the pre-compression elastic element for the optimized structural profile; adjusting the element position to ensure uniform lateral clamping force distribution to obtain element installation parameters; using the installation parameters to input a material creep model to simulate the locking force attenuation process; extracting the attenuation amount to determine the amplitude of the additional clamping force; correcting the stiffness value based on the amplitude; generating compensated working parameters; and verifying whether the dimensional constraints are met through simulation.

[0007] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0008] This invention, by acquiring initial stress distribution data of the connector cover in the closed state, discovered that the single-point locking structure exhibits a significant stress concentration area exceeding the material fatigue threshold under a preset vibration spectrum, becoming a weak point in vibration resistance. To address this issue, this invention replaces the single-point locking with at least two asymmetrically distributed multi-point locking structures along the cover's closing trajectory, effectively dispersing stress from the concentration point to multiple locking points. Through finite element simulation analysis of the dynamic stress distribution, the geometry and spatial position of the asymmetrical locking points are optimized to achieve an ideal tactile curve where the peak operating force occurs before engagement and rapidly decreases after full engagement. Furthermore, a pre-compression elastic element is introduced on top of the multi-point locking to provide continuous and uniform lateral clamping force after engagement, effectively compensating for the attenuation of locking force caused by material creep. Finally, a topology optimization algorithm is used for lightweight design of the overall structure, removing non-load-bearing materials and controlling the overall dimensions while ensuring multi-point locking and pre-compression functionality. Ultimately, the peak operating force of the optimized connector is lower than the preset feel threshold, while the contact resistance fluctuation is controlled within the allowable range under vibration environment, which significantly improves the connector's vibration resistance reliability, feel comfort and long-term use stability. Attached Figure Description

[0009] Figure 1 This is a flowchart of an anti-vibration optimization method for an FPC connector flip cover according to the present invention;

[0010] Figure 2 This is a schematic diagram of step S105 of the vibration optimization method for an FPC connector flip cover according to the present invention.

[0011] Figure 3 This is a schematic diagram of step S106 of the vibration optimization method for an FPC connector flip cover according to the present invention.

[0012] Figure 4 This is a schematic diagram of step S107 of the vibration optimization method for an FPC connector flip cover according to the present invention.

[0013] Figure 5 This is a schematic diagram of step S108 of the vibration optimization method for an FPC connector cover according to the present invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] like Figures 1-5 The vibration optimization method for an FPC connector flip cover in this embodiment may specifically include:

[0016] Step S101: Obtain the initial force distribution data of the connector cover in the closed state. This data includes the stress concentration areas of each snap-fit ​​structure under a preset vibration spectrum.

[0017] The geometric shape data of the connector cover is acquired using a 3D scanner, and a structural model of the cover in its closed state is constructed to obtain the precise position coordinates of the snap-fit ​​structure. Based on the structural model, boundary conditions are set, including fixed constraints and loads applied under a preset vibration spectrum, to determine the computational basis for the mechanical analysis. Using the finite element method, a mechanical simulation is performed based on the calculations, outputting stress distribution cloud maps of each snap-fit ​​structure under the vibration spectrum. If the stress value in the stress distribution cloud map exceeds a preset threshold, the region exceeding the threshold is identified to determine the location and range of the stress concentration area. Data is extracted from the identification results of the stress concentration area to obtain the initial force distribution data of the connector cover in its closed state.

[0018] In one implementation, the initial force distribution data of the connector cover in the closed state can be obtained through computer-aided engineering simulation analysis.

[0019] Specifically, the first step is to create an accurate three-dimensional geometric model of the connector cover and its latching structure. This model should include the cover body, multiple latching arms connected to the body, and hook-shaped locking structures at the ends of the latching arms. After the model is created, it needs to be meshed to generate a mesh model for finite element analysis.

[0020] Preferably, the mesh is refined in areas of geometric abrupt change such as the root and corners of the snap-fit ​​structure to ensure the accuracy of the stress calculation results.

[0021] It should be noted that the preset vibration spectrum refers to the vibration environment conditions specified in the connector product specification or relevant testing standards.

[0022] For example, the spectrum could be a random vibration power spectral density curve within a specific frequency range (e.g., 10 Hz to 2000 Hz), where the amplitude represents the vibration acceleration level at different frequencies. In the simulation analysis, this vibration spectrum is applied as a load condition to the mounting base of the connector cover. Based on the above model and load condition, a dynamic finite element analysis can be performed. The analysis simulates the condition where the connector cover is in a closed and locked state, with its snap-fit ​​structure fully engaged with the corresponding slot on the socket, and then subjected to a preset vibration spectrum excitation. By solving the problem, the dynamic response of the cover structure under vibration load can be obtained, including the stress distribution data on each snap-fit ​​structure.

[0023] Specifically, the identification of stress concentration areas is accomplished by analyzing the equivalent stress cloud map in the simulation results.

[0024] In one embodiment, the simulation software calculates and outputs the stress value of each grid cell on the entire flip-up model and visualizes it as a color contour map. Stress concentration areas are typically represented by darker-colored regions (representing higher stress values) in the contour map. These areas are often located at the root bend of the latch arm, in the localized area where the latch hook contacts the latch slot, and near any small grooves or notches on the latch structure. By extracting the coordinates, peak stress values, and distribution range of these high-stress areas, the data described in the claims can be generated.

[0025] Understandably, besides simulation methods, force distribution data can also be obtained through experimental methods. For example...

[0026] In one possible implementation, micro-strain gauges can be attached to the surfaces of multiple snap-fit ​​structures on the connector cover, and then the assembled connector can be fixed on a vibration test bench. The test bench is excited according to a preset vibration spectrum, and the strain signals measured by each strain gauge are recorded in real time through a data acquisition system. These signals are then converted into stress data based on material mechanics relationships, thus obtaining information on the stress concentration areas of each snap-fit ​​under vibration conditions.

[0027] Step S102: Based on the initial stress distribution data, determine whether the stress concentration area exceeds the material fatigue threshold. If it does, then determine that the single-point locking structure is a weak link in vibration resistance.

[0028] Using the initial stress distribution data, a threshold comparison method is employed to compare stress values ​​point-by-point with a preset threshold to determine stress concentration areas and identify locations exceeding the material fatigue threshold. For these locations exceeding the threshold, deformation and displacement features are extracted from the multi-point locking structure of the connector cover to determine the vibration response differences of the single-point locking structure. Based on these vibration response differences, deformation data of the snap-fit ​​structure is obtained to assess the overall vibration resistance stability of the multi-point locking structure. If the overall vibration resistance stability is lower than a preset threshold, the single-point locking structure is identified as a weak point in vibration resistance.

[0029] In one implementation, the determination is based on initial stress distribution data, which first requires understanding the concept of material fatigue threshold. Material fatigue threshold refers to the maximum stress level that a material can withstand under cyclic loading without fatigue failure. This value is usually obtained from material handbooks or experimental tests. For example, for engineering plastics commonly used in connector covers, the fatigue threshold may be determined based on standard fatigue test curves.

[0030] It should be noted that this threshold takes into account the dynamic stress amplification effect under the vibration spectrum to ensure the reliability of the judgment. By comparing the peak value of the stress concentration region with this threshold, the long-term vibration resistance of the structure can be evaluated.

[0031] Specifically, the judgment process begins by extracting key indicators from the initial stress distribution data, such as the values ​​of high stress points in the equivalent stress cloud map. These values ​​are then compared point by point with preset material fatigue thresholds. If the stress concentration area of ​​a certain snap-fit ​​structure exceeds the threshold, it is marked as a potential risk point.

[0032] In one possible implementation, this comparison can be automated using software tools, such as importing data into an analysis program that iterates through all mesh elements, calculates the difference, and generates a report. This method is suitable for vibration simulation scenarios of connectors in a closed state, helping to identify weaknesses in single-point locking structures. Furthermore, if the judgment result shows that it exceeds a threshold, the single-point locking structure is identified as a weak point in vibration resistance. The principle behind this step is that stress exceeding the threshold can cause microcracks to initiate and propagate, ultimately affecting the overall stability of the connector.

[0033] For example, in the design optimization of connector cover, if the stress peak at the root of the latch arm exceeds the material fatigue threshold by more than 10%, it is considered a weak point and requires subsequent reinforcement measures.

[0034] Preferably, a safety factor can be introduced to adjust the threshold, for example, multiplying the standard threshold by 0.8 as a conservative judgment standard to cope with the variability of actual vibration environments. This adjustment enhances the robustness of the judgment and ensures consistency under different vibration spectra.

[0035] Understandably, besides software comparison, judgment can also be made through manual analysis.

[0036] In one embodiment, engineers review the stress distribution diagram, mark high-stress areas for each snap-fit ​​structure, and then query a material database to obtain the corresponding fatigue thresholds for numerical comparison. If the thresholds are exceeded, the structure is recorded as a weak point, and the cause, such as stress concentration due to geometry, is analyzed. This approach is suitable for small-batch connector testing scenarios, emphasizing the role of human experience in judgment.

[0037] For example, in practical applications, if a specific single-point locking structure is identified as a weak point in a multi-snap connector cover, this can guide design iterations, such as by adding reinforcing ribs to disperse stress and thus improve the overall vibration resistance.

[0038] It should be noted that this judgment is not limited to a single vibration spectrum, but can also be extended to conditions of combined loads, ensuring the versatility of the technical solution. In another implementation, the judgment can be combined with statistical methods to handle data uncertainty.

[0039] For example, averaging the results of multiple simulations of the initial stress distribution data and comparing it with a fatigue threshold can reduce the impact of random errors. This method is particularly useful in connector reliability assessment, providing more reliable identification of weak points. Furthermore, after identifying weak points, visual outputs, such as 3D models annotated with weak points, can be generated. This facilitates subsequent optimization steps, ensuring logical consistency from judgment to improvement.

[0040] Step S103: For weak vibration resistance, a multi-point distributed locking structure design is adopted, which sets at least two asymmetrically distributed locking points on the opening and closing trajectory of the cover.

[0041] To address the aforementioned vibration weaknesses, asymmetric point data is obtained from the locking distribution. A closed-track analysis is then used to obtain a multi-point structural layout. This closed-track analysis determines the distribution uniformity by comparing displacement differences along the lifting path. The vibration-strengthening effect is assessed using this multi-point structural layout. This assessment determines the stability of the locking position along the lifting path by comparing a preset threshold with the layout displacement value, resulting in at least two asymmetrically distributed locking points.

[0042] In one implementation, a solution for addressing the identified weak points in single-point locking vibration resistance is to employ a multi-point distributed locking structure. The core of this structure lies in arranging at least two locking points along the closing trajectory of the connector cover, with these locking points exhibiting an asymmetrical spatial distribution or locking characteristics.

[0043] Specifically, asymmetrical distribution refers to multiple locking points that are not symmetrically arranged about the geometric center or axis of symmetry of the flap. For example, in one possible implementation, for a roughly rectangular flap, a primary locking point can be placed in the middle of one of its long sides, while a secondary locking point can be placed near the end of a short side adjacent to that long side. These two locking points are neither on the same straight line nor do they form a symmetrical layout, thus constituting an asymmetrical distribution.

[0044] It should be noted that the design principle of this asymmetrical layout is that it allows vibration loads to be transmitted to the shell through different paths, avoiding the concentration of all loads in a single direction or a single area, thereby effectively dispersing stress and reducing the dynamic stress amplitude at each locking point. Furthermore, to ensure that these asymmetrically distributed locking points can engage smoothly during the closing process, the closing trajectory and locking mechanism need to be designed collaboratively.

[0045] In one embodiment, the main locking point can be designed as a rigid latch with a guide ramp, responsible for bearing the main closing force and providing initial positioning. The secondary locking point can be designed as a cantilever beam structure with a certain elastic deformation capability, with its latch height slightly lower than the main latch. When the flap is pressed down along the closing trajectory, the main locking point engages first and completes most of the positioning of the stroke; as the closing action continues, the flap housing undergoes slight elastic deformation or slight rotation around the main locking point, allowing the secondary locking point to align and fall into its corresponding lock groove, completing the final locking. This sequential engagement design reduces the stringent requirements for manufacturing tolerances and improves the fault tolerance and reliability of the assembly.

[0046] Preferably, the asymmetric distribution can also be reflected in the distribution of locking force.

[0047] For example, the primary locking point can be designed to be stronger, providing a larger holding force, while the secondary locking point mainly plays a supporting role in stabilization and vibration resistance, and its locking force can be relatively smaller. This asymmetrical configuration of force values ​​allows the most suitable locking point to bear the main load when the structure is subjected to vibration excitation in different directions, thus optimizing the overall load distribution.

[0048] It is understandable that multi-point distributed locking structures are not limited to two locking points. In another implementation, locking points can be set at the three corners of the flap, forming a triangular asymmetric support surface. This layout can significantly improve the torsional stiffness of the flap in the plane, and is particularly effective in resisting vibrations of a specific frequency spectrum. Regardless of the specific number of locking points, the essence of its asymmetric distribution is to break the resonant modes that may exist in symmetrical structures and transform concentrated loads into distributed loads, thereby fundamentally strengthening the original weak points of the single-point locking structure.

[0049] Step S104: Through finite element simulation analysis, the dynamic stress distribution of the multi-point distributed locking structure under the same vibration spectrum is obtained. The distribution shows that the stress is dispersed from the concentration point to multiple locking points.

[0050] Multi-point structural layout data is obtained from vibration spectrum analysis, and dynamic stress distribution is determined using finite element simulation. Displacement differences are compared with the dynamic stress distribution, and the locking point dispersion locations are obtained based on the comparison results, resulting in an asymmetric distribution scheme. Stress concentration mitigation indices are extracted from the asymmetric distribution scheme, quantified by comparing the difference between peak and average stress values. Closed-path optimization is used to adjust the multi-point structural layout and assess the applicability of the vibration-strengthening mechanism. Material fatigue assessment is introduced through this vibration-strengthening mechanism. The assessment uses cyclic loading simulation to obtain fatigue curves, and a stability judgment threshold is obtained from the assessment data to determine the strengthening range of distributed locking. Displacement differences are compared within this strengthening range, and the locking point dispersion is optimized using the stability judgment threshold to obtain the final dispersion effect of the dynamic stress distribution.

[0051] In one implementation, the finite element simulation analysis method can be used to verify the improvement effect of the multi-point distributed locking structure on the weak links of vibration resistance.

[0052] Specifically, finite element analysis (FEM) is a numerical method that discretizes a continuous solid into a finite number of elements and solves mechanical problems through computation. In this embodiment, the goal is to obtain the dynamic stress response of the locking structure under a specific vibration environment. First, a three-dimensional geometric model of the connector cover and the housing needs to be established, and this model must accurately include all the features of the designed multi-point distributed locking structure.

[0053] For example, the model must clearly show the rigid snap-fit ​​geometry of the main locking point, the cantilever beam latch structure of the secondary locking point, and their corresponding locking grooves. Then, this geometric model is imported into finite element analysis software for preprocessing. In the software, appropriate material properties must be assigned to each part of the model.

[0054] For example, the material of the hinge and the main body of the shell can be defined as an engineering plastic, and its elastic modulus, Poisson's ratio, density, and other parameters need to be set according to the actual material selection. For the cantilever beam part of the secondary locking point, if its design is elastic, it is necessary to ensure that the material model can reflect its elastoplastic behavior. Next, the model is meshed, that is, the continuum is discretized into small elements. Near the locking point, in the contact area, and in the thin wall of the structure, the mesh needs to be refined to ensure the accuracy of the stress calculation results.

[0055] It is important to note that the setting of boundary conditions is crucial. Typically, the portion of the shell in contact with the external mounting surface is fully constrained to simulate its fixed state. The application of vibration loads is achieved through foundation excitation.

[0056] Specifically, an acceleration load spectrum in the time or frequency domain is applied to the constrained bottom surface of the shell, which represents the "same vibration spectrum".

[0057] For example, an acceleration power spectral density curve conforming to specific industry standards (such as random vibration or sinusoidal frequency sweep) can be applied. Furthermore, the contact relationships between the locking points must be correctly defined. In one possible implementation, the contact surface between the main locking point latch and the locking groove is defined as frictional contact, and an appropriate coefficient of friction is set. The contact between the secondary locking point latch and the locking groove also needs to be correctly defined, considering its potential separation and re-contact behavior. These nonlinear contact settings are crucial for accurately simulating the dynamic behavior of the locking mechanism under vibration. After completing the above settings, the calculation is submitted for dynamic analysis, such as transient dynamic analysis or random vibration analysis. After the solution is completed, the post-processing stage begins. At this point, a dynamic stress distribution cloud map of the entire flap structure, especially each locking point and its surrounding area, can be extracted. This cloud map displays the stress magnitude using a color gradient.

[0058] Understandably, by comparing and analyzing this stress cloud map, the stress distribution can be observed intuitively.

[0059] In one embodiment, simulation results show that after applying a vibration load, the high-stress area is no longer concentrated at the traditional single locking point. Instead, the stress is shared by the main locking point and the secondary locking point, forming two or more local stress concentration areas, and the peak stress value of each area is significantly lower than that of the single-point locking scheme. This change in the shape of the stress cloud map, that is, the dispersion from a single concentration point to multiple locking points, numerically confirms the effectiveness of multi-point distributed structures in dispersing vibration loads and reducing local stress concentration.

[0060] Preferably, for a more quantitative evaluation, stress-time history curves of key nodes at the primary and secondary locking points can be extracted from the post-processing. By comparing these curves, the proportion of load borne by each locking point can be analyzed under different vibration phases, further revealing the collaborative working mechanism of the asymmetric structure under dynamic loads.

[0061] Step S105: Based on the dynamic stress distribution, adjust the geometry and spatial position of the asymmetric locking point so that during the lid opening and closing process, the peak operating force occurs in the early stage of locking point engagement, and the operating force rapidly decreases after the locking point is fully engaged.

[0062] The initial geometric profile and spatial coordinates of the asymmetric locking point are obtained from the dynamic stress distribution. Based on the stress gradient change data, the curvature parameters of the engagement guide surface are adjusted according to the initial geometric profile and spatial coordinates to obtain optimized engagement front-stage positioning data. The opening and closing process is simulated using the optimized engagement front-stage positioning data to obtain a continuous change curve of the operating force during the closing process. The location of the peak force and the steady-state force value after full engagement are identified from the continuous change curve. The decrease in operating force is determined based on the location of the peak force and the steady-state force value. If the decrease is insufficient, the curvature parameters of the engagement guide surface and the spatial offset of the locking point are corrected to generate a new geometric profile and spatial coordinate scheme. The closing process is simulated again using the new geometric profile and spatial coordinate scheme to obtain an updated continuous change curve of the operating force. The peak position and decreasing trend of the curves before and after the update are compared to determine the final locking point geometry and spatial position configuration.

[0063] In one implementation, in order to adjust the geometry and spatial position of the asymmetric locking point according to the dynamic stress distribution, it is first necessary to perform a detailed analysis of the previously obtained stress cloud map.

[0064] Specifically, the analysis process involves extracting stress distribution data from the primary and secondary locking point regions. Software tools can then be used to generate stress contour maps, identifying the location and intensity of high-stress areas.

[0065] For example, in the model of the connector cover and housing, if the cantilever beam structure of the secondary locking point exhibits high local stress, a geometric modification scheme needs to be planned for this area. This analysis ensures that the adjustment is tailored to the actual response under vibration conditions. Furthermore, when adjusting the geometry of the asymmetric locking point, the curvature and thickness of the latch can be modified.

[0066] For example, the curvature of the cantilever beam latch at the secondary locking point can be achieved by increasing the bending radius to disperse stress concentration.

[0067] It should be noted that this modification is based on stress distribution data. For example, if the contour map shows that the stress peak occurs at the beam root, the thickness is gradually adjusted from the root to the end, thereby guiding the stress peak to shift towards the engagement front during closure. Adjustments to the spatial position involve moving the relative coordinates of the locking point to the edge of the cover. For example, the secondary locking point is offset from the primary locking point by a certain distance to create an asymmetrical layout.

[0068] In one possible implementation, the lid-opening and closing process is simulated to verify the adjustment effect.

[0069] Specifically, a closed-loop dynamic model is established, and the adjusted geometric model is imported into the analysis software. When a closed-loop load is applied, the change curve of the operating force is monitored.

[0070] Preferably, higher frictional contact parameters are set in the initial engagement phase, causing the force peak to occur at this stage, while the force rapidly decreases after full engagement due to the inclined surface design of the locking groove. This simulation covers scenarios with different closing speeds, ensuring the versatility of the solution.

[0071] Understandably, adjustments to asymmetric locking points can be made through iterative optimization. For example, preliminary geometric modifications can be made first, followed by rerunning the dynamic stress analysis to compare the stress distribution before and after. If the stress is more uniform after adjustment, the solution is confirmed to be effective. Furthermore, in connector housing design, this method is applicable to various material combinations, such as engineering plastics and metal inserts, ensuring control over the distribution of closing forces.

[0072] Specifically, the realization of the peak operating force occurring in the early stage of engagement at the locking point depends on the adjustment of the initial contact angle between the bolt and the lock groove.

[0073] For example, setting the latch angle to a range of 15 to 30 degrees generates higher resistance during the initial closing phase, creating a peak. Subsequently, a smooth transition through the guide surface of the latch groove achieves a decrease in force after full engagement. This angle adjustment is based on feedback from stress distribution; for example, if simulation shows that the initial stress is too high, the angle is fine-tuned to balance the distribution.

[0074] In one embodiment, this adjustment ensures the durability of the structure for connectors in high-vibration environments.

[0075] Preferably, spatial optimization includes calculating the distance ratio between locking points. For example, placing the secondary locking point downstream of the primary locking point creates an asymmetrical distribution to share the closure load. It should be noted that this ratio can be determined based on the peak position of the stress contour plot, ensuring that the peak force does not exceed the material limit.

[0076] In one embodiment, adjustments are made in conjunction with a multi-point distributed structure.

[0077] Specifically, the geometry of the two secondary locking points was modified: one was thickened to withstand the initial peak, and the other was repositioned to assist in force descent. This layered adjustment demonstrates the flexible application of the solution within the same field.

[0078] Step S106: Based on the multi-point distributed locking structure, a pre-compression elastic element is introduced. This element provides a continuous and uniform lateral clamping force after the locking points are engaged, compensating for the attenuation of the locking force that may be caused by material creep.

[0079] Initial lateral clamping force distribution data is obtained from the multi-point distributed locking structure. Pre-compression elastic elements are configured based on this distribution data, and element parameters are adjusted to ensure uniform clamping force after engagement at the locking points, resulting in uniform clamping force configuration parameters. Using these uniform clamping force configuration parameters, a material creep model is input to simulate the clamping force decay over time, obtaining a clamping force decay curve. The force decay at a specific time point is extracted from the decay curve; this decay is the compensation requirement. Based on the compensation requirement, the additional clamping force amplitude required by the pre-compression elastic element is calculated. This additional clamping force amplitude is used to correct the element stiffness and pre-compression in the uniform clamping force configuration parameters, generating compensated element operating parameters. These compensated element operating parameters are substituted into the multi-point distributed locking structure for closure process simulation, obtaining the simulated clamping force change curve over time. The force difference between the simulated curve and the uncompensated decay curve is compared; this difference is used to confirm whether the clamping force decay has been compensated.

[0080] In one embodiment, for a connector cover with a multi-point distributed locking structure, a pre-compression elastic element is integrated in the locking structure area to compensate for the decrease in locking force caused by creep of the engineering plastic shell material during long-term use.

[0081] Specifically, the pre-compression elastic element is designed to function primarily only after the lid is fully closed and all locking points are engaged. Its core function is to apply a continuous lateral clamping force perpendicular to the direction of the closing movement to the contact surface of the latch or locking groove. This force maintains tight contact between the locking points and counteracts gaps caused by the slow deformation of the plastic. Furthermore, the integration of the pre-compression elastic element requires careful design.

[0082] For example, a dedicated receiving cavity can be formed inside the locking groove of the connector housing. This receiving cavity is located behind the side wall of the locking groove, with its opening facing the side of the latch in the fully engaged state. One possible implementation is to use an arc-shaped metal spring as a pre-compressed elastic element. During installation, the spring is first placed in the receiving cavity in a pre-compressed state, with its arched portion protruding from the opening of the receiving cavity. When the cover is closed, the latch slides into the locking groove and reaches the final engaged position, the side of the latch contacts the protruding spring and further compresses the spring. At this time, the elastic restoring force stored in the spring is converted into a continuous lateral clamping force acting on the side of the latch, pushing the latch tightly against the other side wall of the locking groove, thereby eliminating any potential micro-gaps.

[0083] It should be noted that the setting of the preload is crucial. The preload refers to the initial compression or deformation of the elastic element when it is not engaged at the locking point.

[0084] Specifically, the preload can be controlled by the difference between the depth of the receiving cavity and the height of the spring plate in its free state. If the preload is too small, the initial clamping force may be insufficient, and the preload may not be effective; if the preload is too large, the closing operation force may increase abnormally, or excessive residual stress may still be generated after long-term creep, affecting the structural life.

[0085] In one embodiment, based on the creep coefficient of the housing material and the expected lock force retention period, a suitable preload range is determined through mechanical simulation, such that at the moment of engagement at the locking point, the lateral clamping force provided by the elastic element is sufficient to ensure a tight fit between the contact surfaces, and that the force remains above the effective locking threshold even after partial creep of the material.

[0086] It is understood that the form of the preload elastic element is not limited to a metal spring sheet. In another embodiment, a silicone or polyurethane elastomer block with a specific hardness can be used as the preload element.

[0087] For example, a rectangular elastic block is pre-pressed into a lateral blind hole in the housing, causing a portion of it to protrude. When the latch engages, it compresses the protruding portion, causing the elastic block to compress in volume and deform in shape, thus providing a uniformly distributed lateral clamping force. This elastic block can also provide some damping and vibration reduction, making it suitable for scenarios with higher requirements for vibration control.

[0088] Preferably, in a distributed structure with multiple secondary locking points, an independent pre-compression elastic element can be configured on the locking groove side of each secondary locking point. This ensures that each locking point, after engagement, receives independent and uniform lateral compression compensation, guaranteeing balanced and durable locking force around the entire cover. With this design, even if the connector is subjected to prolonged high temperatures or continuous stress, causing creep in the housing material, the active compression force provided by the pre-compression elastic element can continuously compensate for dimensional changes caused by creep, thus maintaining a stable locking state over the long term and preventing the cover from accidentally popping open or producing abnormal noise due to weakened locking force.

[0089] Step S107: The overall structure of the connector containing the pre-compression elastic element is designed to be lightweight by using a topology optimization algorithm. Material in non-load-bearing areas is removed, and the external dimensions of the connector are controlled while maintaining the multi-point locking and pre-compression functions.

[0090] Initial topology data is obtained from the overall connector structure. A topology optimization algorithm is applied to this data to remove material from non-load-bearing areas, resulting in an optimized structural profile. Pre-compression elastic elements are configured for the optimized structural profile, and their positions are adjusted to ensure uniform distribution of lateral clamping force in multi-point distributed locking, yielding element installation parameters. The element installation parameters are used as input to a material creep model to simulate the locking force attenuation process. The attenuation amount is extracted from this process as a compensation requirement, determining the additional clamping force amplitude. The stiffness value in the element installation parameters is corrected based on the additional clamping force amplitude to generate compensated operating parameters. These parameters are then substituted into the optimized structural profile to simulate the closure process, obtaining a simulated force curve. The difference between the simulated force curve and the initial attenuation curve is compared to determine whether the difference meets the dimensional constraints, thus obtaining the lightweight design verification result.

[0091] In one implementation, when designing a lightweight overall structure for a connector that includes a pre-compressed elastic element, it is first necessary to establish a complete finite element analysis model.

[0092] Specifically, the engineering plastic shell, the hinged cover, and the locking groove sidewall area of ​​the integrated pre-compression elastic element are all included in the model scope. Mesh generation is performed based on the actual geometric dimensions and material properties of each component to reflect the mechanical interactions in the closed state. Furthermore, the topology optimization algorithm is applied based on mathematical programming to find the optimal material distribution within a given design space. Its principle is to achieve the goal by iteratively adjusting the relative density of the shell elements. This process first determines the design variable as the density value of most of the shell area, while the accommodating cavity where the pre-compression elastic element is located and the contact surfaces of the multi-point locking points are fixed as non-design areas and preserved intact.

[0093] For example, the initial structural analysis phase identifies the main load-bearing paths, and then gradually removes unit materials with a density below a set threshold, thereby completing the lightweight adjustment while maintaining multi-point locking and pre-compression functions.

[0094] Preferably, in order to remove material from non-load-bearing areas, the objective function in the optimization model needs to be set to minimize the overall mass of the connector, while introducing multiple performance constraints to ensure that the function is not affected.

[0095] Specifically, these constraints include lower stiffness requirements applied to each locking point, which simulate lateral contact loads at the fully engaged position of the latch, and limit the nodal displacement in this area to a specific range in order to maintain a tight fit between the latch and the lock groove.

[0096] In one embodiment, local volume constraints are introduced in the region surrounding the lateral clamping force application surface of the pre-compressed elastic element to maintain its function.

[0097] Specifically, the analysis process first determines the load transmission path of the elastic element mounting cavity, such as the contact area between the bow-shaped metal spring sheet or elastic rubber block and the side wall of the housing. Then, a minimum material fraction threshold is set accordingly to prevent excessive material removal in this area during optimization iteration, thereby ensuring that the elastic element can still play a continuous clamping role after the locking point is engaged.

[0098] Understandably, controlling the connector's external dimensions is achieved by adding geometric boundary constraints to the optimization model.

[0099] For example, the displacement of all nodes on the outer contour of the shell is restricted within a predefined design space frame to prevent material removal from causing the overall length, width, or height to exceed expected values. One possible implementation uses an algorithm that iteratively updates the density distribution until all constraints are simultaneously satisfied. At this point, non-load-bearing areas, such as redundant supports inside the shell, are automatically removed, while the core path of the multi-point distributed locking structure retains sufficient thickness independently based on the number of locking points.

[0100] It should be noted that this setup is based on mechanical behavior analysis in a closed state, ensuring material continuity between each locking point. For example, for connector structures using elastic blocks as pre-compression elements, optimization focuses on the housing wall surrounding the blind holes, adjusting the density to create the necessary support structure to maintain the rigid foundation required for the compression deformation of the blocks.

[0101] Step S108: Obtain the final operating force curve and vibration simulation data of the optimized structure, and determine whether the peak value of the operating force is lower than the preset feel threshold and whether the contact resistance fluctuation under vibration is less than the allowable range.

[0102] 1. Obtain the final operating force curve from the optimized structure, and extract peak data from the curve to obtain the peak value. 2. Compare the peak value with a preset feel threshold to determine whether the peak value is lower than the threshold, thus obtaining the feel verification result. 3. Input the optimized structure into a preset vibration simulation model. The model uses vibration frequency and amplitude parameters to simulate the structural response, obtain contact resistance data under vibration conditions, and determine the resistance fluctuation value. 4. Calculate the thermal stress distribution based on the resistance fluctuation value, evaluate the influence of the distribution on the fluctuation, determine whether the fluctuation is less than the allowable range, and obtain the vibration resistance performance result.

[0103] In one implementation, for performance verification of the optimized connector structure, the final operating force curve is first obtained using finite element analysis software.

[0104] Specifically, the optimized housing model is imported into the simulation environment to simulate the insertion and engagement of the locking tongue, and the force value change curve from initial contact to complete locking is recorded. This curve reflects the role of the preloaded elastic element during operation.

[0105] For example, when the locking tongue pushes the elastic block, the force gradually rises to a peak value and then decreases to ensure the smooth implementation of the multi-point locking function.

[0106] It should be noted that the operating force curve is obtained based on dynamic load simulation, taking into account material properties such as the elastic modulus and friction coefficient of engineering plastics, thereby generating continuous force-displacement data points. Furthermore, after obtaining the operating force curve, peak value determination is performed.

[0107] For example, the maximum force value in the curve is extracted and compared with a preset feel threshold, such as a threshold set to no more than 15 Newtons, to match ergonomic requirements. If the peak value is lower than this threshold, it is confirmed that the optimized structure has not affected operational comfort while maintaining lightweight design.

[0108] Understandably, this judgment process is automated through scripts, outputting comparison results after inputting curve data to avoid manual errors. Preferably, to evaluate vibration resistance performance, vibration simulation is conducted to obtain contact resistance data. Specifically, a vibration model is established, placing the connector in a simulated random vibration environment, such as sinusoidal wave excitation with a frequency range of 10 to 2000 Hz, and monitoring the change in contact resistance at the locking point. The contact resistance fluctuation under vibration is simulated and calculated using multi-point sensors, recording the resistance value change curve over time. For example, under the action of a pre-loaded elastic element, the resistance fluctuation needs to be controlled within 0.1 ohms to ensure the reliability of the electrical connection.

[0109] In one possible implementation, data acquisition for vibration simulation involves coupling finite element analysis with multibody dynamics.

[0110] Specifically, the boundary conditions are first defined, such as fixing the bottom of the housing and applying a vibration load. Then, the displacement and stress distribution of each component are iteratively calculated to further derive the resistance fluctuation value of the contact surface. This process emphasizes maintaining the pre-compression function; for example, elastic blocks provide continuous clamping force during vibration to prevent the locking points from loosening, thereby maintaining resistance stability.

[0111] For example, when assessing contact resistance fluctuations under vibration, the fluctuation amplitude is calculated—the difference between the maximum and minimum resistance values—and compared to an allowable range. This allowable range can be set to less than 0.5 ohms to meet industry standards. If the fluctuation is less than this range, the optimized design has successfully preserved vibration resistance. Furthermore, this assessment can be extended to different vibration intensity scenarios; for example, long-term fatigue monitoring is crucial under low-frequency vibration, while instantaneous peak values ​​are considered under high-frequency vibration, ensuring the versatility of the technical solution.

[0112] In one embodiment, an integrated evaluation framework is used to make a comprehensive judgment that combines the operating force curve and vibration data.

[0113] Specifically, the data from both are imported into the analysis module. First, the peak operating force is verified to meet the threshold requirements, and then the resistance fluctuation is checked to ensure it is within the allowable range. This logical sequence ensures the overall performance of the optimized connector in multi-point locking and preload functions. The framework supports various connector variants, such as models with different numbers of locking points, demonstrating the flexibility of the verification method.

[0114] It should be noted that the acquisition and judgment process of the above simulation data is based on the mechanical and electrical models under closed-loop conditions, ensuring consistency with the load-bearing path of the lightweight design. For example, in the area surrounding the preloaded elastic element, the simulation retains the optimized material distribution to simulate the actual vibration response, thereby providing a reliable data foundation. In one implementation, sensitivity analysis can be introduced to enhance the accuracy of the verification.

[0115] Specifically, by adjusting model parameters such as the material density threshold, the changing trends of peak operating force and resistance fluctuations are observed. This analysis helps identify potential weaknesses; for example, if the peak value approaches the upper limit of the threshold, further optimization of the material removal strategy in non-load-bearing areas is recommended. Furthermore, the judgment of vibration simulation data can be achieved through statistical methods, such as calculating the standard deviation of resistance fluctuations and setting a threshold to quantify the degree of fluctuation. This method is common in connector design and applicable to various types of preloaded components, such as metal spring sheets or elastic blocks, ensuring the objectivity of the judgment results.

[0116] For example, the output of the entire verification process includes graphs and judgment reports to guide subsequent design iterations. If the peak operating force is below the threshold and the resistance fluctuation is less than the allowable range, the lightweight structure is confirmed to meet the functional requirements, thereby improving overall performance while maintaining the form factor.

[0117] The above description is merely a preferred embodiment of one or more embodiments of this specification and is not intended to limit the scope of one or more embodiments of this specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of one or more embodiments of this specification should be included within the protection scope of one or more embodiments of this specification.

Claims

1. A vibration-damping optimization method for an FPC connector flip cover, characterized in that, include: Acquire initial force distribution data of the connector cover in the closed state, and the initial force distribution data is used to determine the stress concentration area; Based on the initial stress distribution data, it is determined whether the stress concentration area exceeds the material fatigue threshold. If it does, the single-point locking structure is identified as a weak link in vibration resistance. For the weak link, a multi-point distributed locking structure design is adopted, wherein the multi-point distributed locking structure has at least two asymmetrically distributed locking points on the opening and closing trajectory of the cover. The dynamic stress distribution of the multi-point distributed locking structure under vibration conditions is obtained through simulation analysis, and the dynamic stress distribution shows the stress dispersion effect. Based on the dynamic stress distribution, adjust the geometry and spatial position of the asymmetrically distributed locking points; introduce a pre-compression elastic element, which provides lateral clamping force after the locking points are engaged; perform lightweight design on the overall connector structure including the pre-compression elastic element and control the external dimensions; obtain the final operating force curve and vibration simulation data of the optimized structure, and determine whether the peak operating force and contact resistance fluctuation meet the preset conditions.

2. The vibration-damping optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The process of obtaining the initial stress distribution data of the connector cover in the closed state includes: acquiring the geometric shape data of the connector cover through 3D scanning, constructing a structural model in the closed state, and obtaining the precise position coordinates of the snap-fit ​​structure; setting boundary conditions based on the structural model, the boundary conditions including fixed constraints and load application of a preset vibration spectrum; performing mechanical simulation using the finite element analysis method, and outputting stress distribution cloud maps of each snap-fit ​​structure under the vibration spectrum; if the stress value in the stress distribution cloud map exceeds a preset threshold, identifying the region exceeding the threshold, and determining the location and range of the stress concentration region; extracting data from the stress concentration region to generate the initial stress distribution data.

3. The vibration optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The step of determining whether the stress concentration area exceeds the material fatigue threshold based on the initial stress distribution data includes: comparing stress values ​​point by point using a threshold comparison method based on the initial stress distribution data to determine the location of the part exceeding the material fatigue threshold; extracting deformation and displacement features from the multi-point locking structure of the connector cover for the location to determine the vibration response difference of the single-point locking structure; obtaining deformation data of the snap-fit ​​structure based on the vibration response difference to determine the overall vibration resistance stability of the multi-point locking structure; if the overall vibration resistance stability is lower than a preset threshold, then the single-point locking structure is determined to be a weak link in vibration resistance.

4. The vibration-damping optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The multi-point distributed locking structure design for the weak vibration-resistant link includes: obtaining asymmetric point data from the locking distribution of the weak vibration-resistant link, determining the multi-point structural layout using closed trajectory analysis, wherein the closed trajectory analysis determines the distribution uniformity by comparing the displacement differences on the lifting path; judging the vibration-resistant strengthening effect through the multi-point structural layout, wherein the judgment determines the stability of the locking position on the lifting path by comparing a preset threshold with the layout displacement value; and determining at least two asymmetrically distributed locking points based on the stability.

5. The vibration-damping optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The step of obtaining the dynamic stress distribution of the multi-point distributed locking structure under vibration conditions through simulation analysis includes: obtaining the multi-point structure layout data from vibration spectrum analysis and determining the dynamic stress distribution using finite element simulation; comparing displacement differences through the dynamic stress distribution to obtain the dispersed locations of the locking points and determine an asymmetric distribution scheme; extracting stress concentration mitigation indices from the asymmetric distribution scheme, wherein the extraction is quantified by comparing the difference between the peak and average stress values; optimizing and adjusting the multi-point structure layout using closed-path optimization to determine the applicability of the vibration-strengthening mechanism; and introducing material fatigue assessment through the vibration-strengthening mechanism to obtain a stability judgment threshold and determine the strengthening range of the distributed locking.

6. The vibration optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The step of adjusting the geometry and spatial position of the asymmetrically distributed locking points according to the dynamic stress distribution includes: obtaining the initial geometric contour and spatial coordinates of the asymmetrically distributed locking points from the dynamic stress distribution; adjusting the curvature parameters of the engagement guide surface based on the stress gradient change data for the initial geometric contour and spatial coordinates to obtain optimized engagement front-stage positioning data; simulating the cover-opening and closing process using the positioning data to obtain a continuous change curve of the operating force; identifying the peak force position and the steady-state force value after full engagement from the curve; and correcting the curvature parameters and spatial offset if the decrease is insufficient to generate a new geometric contour and spatial coordinate scheme.

7. The vibration optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The introduction of the pre-compression elastic element includes: obtaining initial lateral clamping force distribution data from the multi-point distributed locking structure; configuring the pre-compression elastic element based on the distribution data, adjusting the element parameters to make the clamping force uniform after engagement at the locking point, and obtaining uniform clamping force configuration parameters; inputting the configuration parameters into a material creep model to simulate the clamping force decay process over time and obtaining a decay curve; extracting the force decay amount from the decay curve to determine the compensation requirement; calculating the additional clamping force amplitude based on the compensation requirement, correcting the element stiffness and pre-compression amount in the configuration parameters, and generating compensated working parameters; and verifying the compensation effect of the working parameters through simulation.

8. The vibration-damping optimization method for an FPC connector flip cover as described in claim 1, characterized in that, The lightweight design of the connector overall structure including the pre-compression elastic element includes: obtaining initial topology data from the overall connector structure, applying a topology optimization algorithm to remove material from non-load-bearing areas to obtain an optimized structural profile; configuring the pre-compression elastic element for the optimized structural profile, adjusting the element position to ensure uniform lateral clamping force distribution, and obtaining element installation parameters; using the installation parameters as input to a material creep model to simulate the locking force attenuation process, extracting the attenuation amount to determine the additional clamping force amplitude; correcting the stiffness value based on the amplitude, generating compensated working parameters, and verifying whether the dimensional constraints are met through simulation.

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