Mobile phone frame anti-bending structure design method

Abstract

The application is suitable for the technical field of mobile phone middle frame structure design, in particular to a mobile phone middle frame anti-bending structure design method, which comprises the following steps: determining the bending force of each test data in each region according to the transfer function and the bending force signals of multiple test data corresponding to each region in the middle frame region; obtaining the target bending force of each region according to the bending force of each region; determining the first region according to the target bending force of each region; determining the structure parameters of the first region; and determining the structure parameters of the second region according to the structure parameters of the first region. Therefore, the mobile phone middle frame anti-bending structure design method provided by the application can comprehensively consider the dynamic characteristic differences of each region of the mobile phone middle frame, so as to guarantee the overall performance of the mobile phone middle frame.

Description

Technical Field

[0001] This application belongs to the field of mobile phone mid-frame structure design technology, and particularly relates to a method for designing a mobile phone mid-frame anti-bending structure. Background Technology

[0002] Most current mobile phone designs adopt a sandwich structure of "front panel + mid-frame + back cover". The mid-frame, as the core supporting component, needs to ensure structural strength while integrating functions such as antenna and heat dissipation.

[0003] Existing designs for the bending resistance of mobile phone frames often focus on optimizing static performance, such as strength and stiffness, while lacking in-depth analysis and optimization of dynamic characteristics (such as vibration and impact). This leads to problems such as vibration, noise, and fatigue damage caused by dynamic loads during actual use, affecting user experience and phone lifespan. Furthermore, simple optimizations of local areas in existing technologies, such as thickening the corners to improve drop resistance, can easily lead to a decline in overall performance. Therefore, existing designs for the bending resistance of mobile phone frames neglect the differences in dynamic characteristics across different areas of the frame, making it difficult to guarantee overall performance. Summary of the Invention

[0004] This application provides a method for designing a bending-resistant structure for a mobile phone frame, which can comprehensively consider the differences in dynamic characteristics of different areas of the mobile phone frame to ensure the overall performance of the mobile phone frame.

[0005] In a first aspect, embodiments of this application provide a method for designing a bending-resistant structure for a mobile phone mid-frame, including: The bending force of each test data point in each region is determined based on the transfer function and the bending force signal of multiple test data points corresponding to each region in the mid-frame region. The transfer function reflects the influence of bending force between different regions in the mid-frame region. The mid-frame region includes a core region, a functional region, an edge region, and a connecting region. The core region includes the four surrounding frames and the mid-plate. The functional region includes the antenna breakpoint region, the heat dissipation module, the interface region, and the camera module support region. The edge region refers to the four corner regions and the side corner regions. The connecting region refers to the area where the screen connects to the back cover. The target bending force for each region is obtained based on the bending force of each region; wherein, the target bending force is used to quantify the bending resistance requirement; A first region is determined based on the target bending forces described above; wherein, the first region is the region in the middle frame region that currently needs to be optimized; Determine the structural parameters of the first region; wherein the structural parameters include thickness and / or porosity; The structural parameters of the second region are determined based on the structural parameters of the first region; wherein, the second region is the region in the middle frame region that will be affected by the first region.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The mobile phone mid-frame anti-bending structure design method provided in this application determines the bending force of each test data in each region based on the bending force signal of multiple test data corresponding to each region of the mid-frame region according to the transfer function; obtains the target bending force of each region based on the bending force of each region; determines the first region based on each target bending force; determines the structural parameters of the first region; and determines the structural parameters of the second region based on the structural parameters of the first region. Therefore, the mobile phone mid-frame anti-bending structure design method provided in this application can quantify the actual stress situation of each region under dynamic loads (such as drop, bending) by combining the transfer function with the measured bending force signal. By decoupling the bending force of each region through the transfer function, the differences in dynamic characteristics can be accurately quantified. By ranking the target bending forces, the weakest or most demanding region in the mid-frame can be identified, and the optimization resources can be accurately allocated. Based on the transitivity of structural parameters, the cascading effect of the optimization of the first region on other regions can be predicted, avoiding global performance imbalance caused by local optimization. Through dynamic coupling analysis between regions, "local-global" collaborative optimization can be achieved, improving the robustness of the overall structure of the mobile phone mid-frame.

[0007] In one possible implementation of the first aspect, determining the first region based on each of the target bending forces includes: The contribution rate is obtained based on the proportion of each target bending force. The test data for each region is perturbed, and the rate of change of the bending force of each target is calculated to obtain the sensitivity. The first region is determined based on the contribution rate and the sensitivity.

[0008] In one possible implementation of the first aspect, determining the structural parameters of the first region includes: Determine the functional relationship between the target bending forces and the structural parameters of each region in the middle frame region; The structural parameters of the first region are determined based on the functional relationship between the target bending forces and the structural parameters.

[0009] In one possible implementation of the first aspect, determining the structural parameters of the first region based on the functional relationship between each of the target bending forces and the structural parameters includes: When the target bending force meets the first preset range, the first parameter value of the structural parameters of the first region is determined based on the functional relationship; wherein, the first preset range refers to the preset range of the target bending force under the basic working condition; When the target bending force meets the second preset range, the second parameter value of the structural parameters of the first region is determined based on the functional relationship; wherein, the second preset range refers to the preset range of the target bending force under extreme working conditions; The structural parameters of the first region are obtained based on the first parameter value and the second parameter value.

[0010] In one possible implementation of the first aspect, determining the structural parameters of the second region based on the structural parameters of the first region includes: If the target bending force is determined to meet the first preset range, the third parameter value of the structural parameters of the second region is determined based on the structural parameters of the first region and the functional relationship. If the target bending force is determined to meet the second preset range, the fourth parameter value of the structural parameters of the second region is determined based on the structural parameters of the first region and the functional relationship. The structural parameters of the second region are obtained based on the third parameter value and the fourth parameter value.

[0011] In one possible implementation of the first aspect, before determining the structural parameters of the second region based on the structural parameters of the first region, the method further includes: For each candidate region in the middle frame region other than the first region, at least one set of collaborative feature pairs is obtained based on the features of the first region and the features of the candidate regions; wherein each set of collaborative feature pairs includes independent attributes of the first region, independent attributes of the candidate regions, and the relationship between the first region and the candidate regions; The probability that the candidate region is the second region is obtained based on the collaborative features.

[0012] In one possible implementation of the first aspect, the method further includes: The confidence level of bending force in each region was determined based on the test data from multiple tests. The target bending force curve is determined based on the confidence level of each bending force.

[0013] In one possible implementation of the first aspect, determining the structural parameters of the first region further includes: The structural parameters of the first region are obtained using a particle swarm optimization algorithm based on the target bending force curve.

[0014] In one possible implementation of the first aspect, before determining the bending force of each test data point in each region based on the transfer function and the bending force signal of multiple test data points corresponding to each region in the middle frame region, the method further includes: Based on the test data, perform a Fast Fourier Transform on the input and output signals, and calculate the frequency response function. The transfer function is obtained by fitting the frequency response function.

[0015] In one possible implementation of the first aspect, obtaining the target bending force of each region based on the bending force of each region includes: The target bending force for each region is obtained by weighted fusion of multiple test data based on the bending force confidence levels of each region.

[0016] Secondly, embodiments of this application provide a device for designing a mobile phone mid-frame anti-bending structure, comprising: A bending force module is used to determine the bending force of each test data in each region based on the transfer function and the bending force signal of multiple test data corresponding to each region in the mid-frame region. The transfer function reflects the influence of bending force between different regions in the mid-frame region. The mid-frame region includes a core region, a functional region, an edge region, and a connecting region. The core region includes a four-sided frame and a mid-plate. The functional region includes an antenna breakpoint region, a heat dissipation module, an interface region, and a camera module support region. The edge region refers to the four corner regions and the side corner regions. The connecting region refers to the area where the screen and the back cover connect. The target bending force module is used to obtain the target bending force of each region based on the bending force of each region; wherein, the target bending force is used to quantify the bending resistance requirement; The first region module is used to determine a first region based on each of the target bending forces; wherein, the first region is the region in the middle frame region that currently needs to be optimized; A first structural parameter module is used to determine the structural parameters of the first region; wherein the structural parameters include thickness and / or porosity; The second structural parameter module is used to determine the structural parameters of the second region based on the structural parameters of the first region; wherein, the second region is the region in the middle frame region that is affected by the first region.

[0017] Thirdly, embodiments of this application provide 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 computer program to implement the method as described in any one of the first aspects above.

[0018] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any of the first aspects above.

[0019] Fifthly, embodiments of this application provide a computer program product that, when run on an electronic device, causes the electronic device to perform the method described in any one of the first aspects above.

[0020] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart illustrating a method for designing a mobile phone frame anti-bending structure according to an embodiment of this application. Figure 2 This is a schematic diagram of the implementation process of steps S300, S400 and S420 in the mobile phone mid-frame anti-bending structure design method provided in an embodiment of this application; Figure 3 This is a schematic diagram of the implementation process of step S500 in the mobile phone mid-frame anti-bending structure design method provided in an embodiment of this application; Figure 4 This is a schematic diagram of the implementation process of steps S100, S200 and S400 in the mobile phone mid-frame anti-bending structure design method provided in an embodiment of this application; Figure 5 This is a schematic diagram of the bending force in a mobile phone frame anti-bending structure design method provided in an embodiment of this application; Figure 6 This is a schematic diagram of the anti-bending structure design device for the mobile phone mid-frame provided in this application embodiment; Figure 7 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0023] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0024] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0025] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0026] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0027] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0028] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0029] In related technologies, the design of anti-bending structures for mobile phone frames often focuses on optimizing static performance, such as strength and stiffness, while lacking in-depth analysis and optimization of dynamic characteristics (such as vibration and impact). This leads to problems such as vibration, noise, and fatigue damage caused by dynamic loads during actual use, affecting user experience and phone lifespan. Furthermore, simple optimizations of local areas in existing technologies, such as thickening the four corners to improve drop resistance, can easily lead to a decline in overall performance. Therefore, existing anti-bending structure designs for mobile phone frames neglect the differences in dynamic characteristics across different areas of the frame, making it difficult to guarantee overall performance.

[0030] To address the aforementioned issues, this application provides a method for designing a mobile phone mid-frame anti-bending structure. This method determines the bending force of each test data point in each region based on a transfer function and bending force signals from multiple test data points corresponding to each region of the mid-frame; obtains the target bending force for each region based on its bending force; determines a first region based on its target bending force; determines the structural parameters of the first region; and determines the structural parameters of a second region based on the structural parameters of the first region. Therefore, the mobile phone mid-frame anti-bending structure design method provided in this application, by combining a transfer function with measured bending force signals, can quantify the actual stress on each region under dynamic loads (such as drops and bending). The transfer function decouples the bending forces of each region, accurately quantifying the differences in dynamic characteristics. By ranking the target bending forces, the weakest or most performance-critical regions in the mid-frame are identified, enabling precise allocation of optimization resources. Based on the transitivity of structural parameters, the ripple effects of optimizing the first region on other regions are predicted, avoiding global performance imbalances caused by local optimization. Through dynamic coupling analysis between regions, "local-global" collaborative optimization is achieved, improving the robustness of the overall mobile phone mid-frame structure.

[0031] The mobile phone mid-frame anti-bending structure design method provided in this application embodiment can be applied to electronic devices. In this case, the electronic device is the executing subject of the mobile phone mid-frame anti-bending structure design method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of electronic device.

[0032] For example, electronic devices can be industrial computers, programmable logic controllers, embedded control systems, distributed control systems, tablet computers, laptops, ultra-mobile personal computers (UMPCs), netbooks, desktop computers, laptops, handheld computing devices, etc., but are not limited to these.

[0033] To better understand the mobile phone mid-frame anti-bending structure design method provided in the embodiments of this application, the specific implementation process of the mobile phone mid-frame anti-bending structure design method provided in the embodiments of this application will be described by way of example below.

[0034] Figure 1 This illustration shows a schematic flowchart of a mobile phone mid-frame anti-bending structure design method provided in an embodiment of this application. The mobile phone mid-frame anti-bending structure design method includes: S100 determines the bending force of each test data point in each region based on the transfer function and the bending force signals of multiple test data points corresponding to each region in the mid-frame area. The transfer function reflects the influence of bending force between different regions in the mid-frame area, which includes a core area, functional areas, edge areas, and connecting areas. The core area includes the four surrounding bezels and the mid-plate; the functional areas include the antenna breakpoint area, heat dissipation module, interface area, and camera module support area; the edge areas refer to the four corner areas and the edge areas; and the connecting areas refer to the area where the screen connects to the back cover.

[0035] As can be understood, the transfer function refers to the relationship between the bending force applied to a preset position in the middle frame region during testing and the actual bending force experienced by each region when the force is transferred to other regions. The test data includes the input force signal to the middle frame region and the output displacement signals of each region within the middle frame region.

[0036] For example, the bending force of each region can be quantized according to the transfer function and the input force signal of the test data, such as... Figure 5 As shown.

[0037] For example, force sensors and displacement sensors can be rationally arranged in different areas of the mid-frame (core area, functional area, edge area, and connecting area). Force sensors are used to measure the bending force in each area, and displacement sensors are used to measure the displacement change in each area. A bending force is applied to a preset position on the mid-frame according to a set input signal, and the bending force and displacement signals measured by each sensor in each area are recorded simultaneously. The transfer function is obtained by fitting the bending force signals of each area based on the preset input signal and the actual sensor measurements using methods such as least squares and the MATLAB system identification toolbox.

[0038] S200 calculates the target bending force for each region based on the bending force in each region. The target bending force is used to quantify the bending resistance requirement.

[0039] For example, the mean value of bending force can be calculated based on the test data of each region, and the target bending force of each region can be determined by multiplying the mean value of each region with the corresponding preset safety factor (wherein the safety factor can be determined based on the displacement signal, such as 1.5).

[0040] S300, determine the first region based on the bending forces of each target. The first region is the area in the middle frame region that currently needs optimization.

[0041] For example, the difference between the target bending force and the actual bending force can be calculated separately, and the region with the largest difference or the region with the difference greater than a preset threshold can be determined as the first region.

[0042] S400, determine the structural parameters of the first region. These structural parameters include thickness and / or porosity.

[0043] For example, a response surface model of thickness t and porosity p can be established for the first region, such as bending force F = 2.1t − 0.8p + 50. Multiple levels (e.g., thickness 2.0-3.0 mm, porosity 5-15%) are selected for preliminary experiments, a quadratic polynomial model is fitted, and the optimal solution is obtained using the gradient descent method. For instance, when t = 2.8 mm and p = 10%, the bending force F = 180 N, which is close to the target bending force of 180.6 N.

[0044] S500, determine the structural parameters of the second region based on the structural parameters of the first region. The second region is the area within the middle frame that is affected by the first region.

[0045] For example, a parametric model can be established in finite element software, associating the structural parameters of the first region with those of the second region, and determining the structural parameters of the second region based on the structural parameters of the first region. For instance, a geometric model of the middle frame region can be established in finite element software (such as ANSYS or ABAQUS), meshing can be performed on the first and second regions, and boundary conditions can be set: fixed constraints (such as fixed edges of the middle frame), load application, etc. Through finite element simulation, the stress variation in the second region can be determined based on the optimized structural parameters of the first region. Based on the stress variation in the second region, a topology optimization algorithm can be used, with the structural parameters as design variables, the objective function being to minimize the stress concentration factor, and the constraint condition being that the mass variation does not exceed, for example, 10%, to obtain the structural parameters of the second region.

[0046] In one possible implementation, please refer to Figure 2 S300, the first region is determined based on the bending forces of each target, including: S310, the contribution rate is obtained according to the proportion of bending force of each target.

[0047] For example, the bending forces of each target can be normalized, and the contribution rate can be obtained by multiplying the normalized target bending force by a weighting coefficient. The weighting coefficient can be set according to the importance of the region or experimental experience.

[0048] S320 applies a perturbation to the test data of each region and calculates the rate of change of bending force of each target to obtain the sensitivity.

[0049] For example, a small perturbation (such as ±5% random noise) can be applied to the test data (such as bending force signal) of each region. Based on the perturbed test data, the target bending force can be recalculated, and the sensitivity can be calculated according to the ratio of the rate of change of the target bending force to the perturbation amplitude.

[0050] S330, the first region is determined based on contribution rate and sensitivity.

[0051] For example, the contribution rate and sensitivity can be normalized respectively, and the contribution rate weight and sensitivity weight can be set. The comprehensive score is obtained by weighted summation of the normalized contribution rate and sensitivity with the corresponding weights, and the region with the highest comprehensive score is determined as the first region.

[0052] Through steps S310 to S330, the importance of the region is quantified based on the contribution rate, and the influence of the parameters is quantified based on the sensitivity, which helps improve optimization efficiency. By balancing the contribution rate and sensitivity through weighted scoring, dual-dimensional optimization is achieved, which helps improve the bending resistance of the mid-frame structure, while reducing the number of optimization iterations and lowering R&D costs.

[0053] In one possible implementation, please refer to Figure 2 S400, determine the structural parameters of the first region, including: S410, determine the functional relationship between the target bending force and the structural parameters of each region in the middle frame area.

[0054] For example, bending forces under different combinations of structural parameters can be tested experimentally, or mid-frame models with different parameter combinations can be generated in batches through parametric modeling (such as ANSYS APDL or ABAQUS Python scripts), bending loads can be applied, and stress / strain results can be recorded. The functional relationship between each target bending force and the structural parameters of each region in the mid-frame area can be fitted using methods such as multinomial regression and neural networks (such as multilayer perceptrons (MLP)).

[0055] S420, determine the structural parameters of the first region based on the functional relationship between each target bending force and structural parameters.

[0056] For example, an optimization objective (such as minimizing the difference between the bending force and the target bending force) can be constructed, and the structural parameters of the first region can be obtained by using the gradient descent method, provided that the mass change does not exceed, for example, 10%.

[0057] Through steps S410 to S420, the influence of parameters is quantified through functional relationships, enabling rapid prediction of bending forces under different structures. Precise parameter design is achieved through functional relationships and optimization algorithms. Balancing conflicting objectives such as bending force, weight, and stiffness helps avoid performance shortcomings caused by optimizing a single indicator.

[0058] Optionally, please refer to Figure 2 S420, determine the structural parameters of the first region based on the functional relationship between each target bending force and structural parameters, including: S421, when the target bending force meets the first preset range, determine the first parameter value of the structural parameters of the first region based on the functional relationship. Here, the first preset range refers to the preset range of the target bending force under the foundation working conditions.

[0059] For example, if the target bending force meets the first preset range, the first preset range of the target bending force can be transformed into the constraint range of structural parameters based on the functional relationship, and the value of the first parameter can be determined within the constraint range.

[0060] S422, when the target bending force meets the second preset range, determine the second parameter value of the structural parameters of the first region based on the functional relationship. Here, the second preset range refers to the preset range of the target bending force under extreme working conditions.

[0061] For example, if the target bending force meets the second preset range, the second preset range of the target bending force can be transformed into a constraint range of structural parameters based on the functional relationship, and the value of the second parameter can be determined within the constraint range.

[0062] S423, obtain the structural parameters of the first region based on the first parameter value and the second parameter value.

[0063] For example, the structural parameters of the first region can be obtained by weighted summation of the first and second parameter values. The weights corresponding to the first and second parameter values ​​can be determined based on the probability of the corresponding operating conditions occurring.

[0064] Through the steps S421 to S423 above, the range design enables parameters to be precisely matched to the requirements of different working conditions. The weighting strategy balances safety, weight and cost, and supports the multi-performance requirements of complex products.

[0065] In one possible implementation, please refer to Figure 3 S500, determine the structural parameters of the second region based on the structural parameters of the first region, including: S510, if the target bending force meets the first preset range, determine the third parameter value of the structural parameters of the second region based on the structural parameters and functional relationship of the first region.

[0066] For example, if the target bending force is determined to meet a first preset range, the first preset range of the target bending force can be transformed into a constraint range of structural parameters in the second region based on a functional relationship, and the first constraint range of the structural parameters in the second region can be determined by combining the values ​​of the structural parameters in the first region. Within the first constraint range, the third parameter value of the structural parameters in the second region is determined according to the functional relationship.

[0067] S520, if the target bending force meets the second preset range, determine the fourth parameter value of the structural parameters of the second region based on the structural parameters and functional relationship of the first region.

[0068] For example, if the target bending force is determined to meet a second preset range, the second preset range of the target bending force can be transformed into a constraint range of structural parameters in the second region based on a functional relationship, and the second constraint range of the structural parameters in the second region can be determined by combining the values ​​of the structural parameters in the first region. Within the second constraint range, the fourth parameter value of the structural parameters in the second region is determined according to the functional relationship.

[0069] S530, the structural parameters of the second region are obtained based on the values ​​of the third and fourth parameters.

[0070] For example, the structural parameters of the second region can be obtained by weighted summation of the third and fourth parameter values. The weights corresponding to the third and fourth parameter values ​​can be determined based on the probability of the corresponding operating conditions occurring.

[0071] Through steps S510 to S530 above, the regional coupling design facilitates parameter co-optimization and avoids local failures or redundancy. Considering the dynamic correlation of parameters between regions under extreme conditions helps improve safety under extreme conditions. By integrating parameters across different ranges, multi-condition co-optimization can be achieved.

[0072] In one possible implementation, please refer to Figure 3 S500, before determining the structural parameters of the second region based on the structural parameters of the first region, the method further includes: S501, for each candidate region in the middle frame region other than the first region, at least one set of collaborative feature pairs is obtained based on the features of the first region and the features of the candidate regions. Each set of collaborative feature pairs includes independent attributes of the first region, independent attributes of the candidate regions, and the relationship between the first region and the candidate regions.

[0073] It is understandable that independent attributes can include structural parameters (thickness and / or porosity), geometric features (such as radius of curvature and cross-sectional area), etc. The relationship between the first region and the candidate regions includes locational topological distance (e.g., whether they are adjacent, 1 if yes, 0 otherwise), etc.

[0074] For example, independent attributes of each region within the bounding box area can be extracted using 3D scanning or CAD models. A graph neural network (GNN) is then used to analyze the relationship between the first region and candidate regions. The independent attributes and relationships are combined to obtain co-feature pairs.

[0075] S502, based on the collaborative features, obtain the probability that the candidate region is the second region.

[0076] For example, weights can be assigned to each feature in the collaborative feature pair, and the probability that the candidate region is the second region can be obtained by weighted summation and normalization.

[0077] Through steps S501 to S502 above, quantified features enable traceable relationships and a dynamic adjustment mechanism to adapt to various operating conditions. By leveraging collaborative features to quantify complex relationships between regions, a probabilistic prediction model enables intelligent selection of the second region.

[0078] In one possible implementation, please refer to Figure 4 The methods also include: S600 determines the confidence level of bending force in each region based on multiple test data.

[0079] For example, the Kolmogorov-Smirnov test (KS test) can be used to determine whether the bending force data follows a normal or Weibull distribution, and the confidence interval can be calculated. For instance, the 95% confidence interval for the bending force in the core area is [73, 83]N. Weights are then assigned to determine the confidence level of the bending force in each area within the confidence interval and the confidence level of the bending force in other areas.

[0080] S700 determines the target bending force curve based on the confidence level of each bending force.

[0081] For example, the fitting interval of the target bending force in each region can be determined based on the confidence level of each bending force. Within the fitting interval, the curve of the target bending force changing with time or number of cycles is fitted using cubic spline interpolation. The failure time or number of cycles in the test data is used as the abscissa and the target bending force is used as the ordinate to obtain the target bending force curve.

[0082] Through the above steps S600 to S700, uncertainty is quantified by statistical distribution, confidence interval quantification supports design redundancy optimization, which is conducive to adapting to multi-region collaborative design, and spline curve fitting is conducive to achieving a smooth transition of the target bending force.

[0083] In one possible implementation, please refer to Figure 4 S400, determining the structural parameters of the first region, also includes: S430: The structural parameters of the first region are obtained by using a particle swarm optimization algorithm based on the target bending force curve.

[0084] For example, in the particle swarm optimization algorithm, the objective function is used to quantify the degree of matching between the structural parameters and the target bending force curve. The objective function can be to minimize the mean square error (MSE) between the predicted value of the bending force curve under the current structural parameters and the target bending force curve. Multiple sets of structural parameters can be randomly generated, and for each set of structural parameters, the objective function value (MSE) corresponding to its structural parameters is calculated as the fitness value. The structural parameters are updated according to the standard PSO formula, and iteration stops when the maximum number of iterations (e.g., 100) is reached or the change in the global optimal fitness value is less than a preset threshold, thus obtaining the structural parameters of the first region.

[0085] Traditional methods (such as gradient descent) are prone to getting trapped in local optima, especially when the relationship between structural parameters and bending force curves is nonlinear. Step S430, through collaborative exploration of the global solution, avoids local convergence. By using the particle swarm optimization algorithm to optimize the structural parameters in the first region, problems related to multi-parameter coupling, engineering constraints, and computational efficiency can be efficiently solved, achieving precise matching between the bending force curve and the structural design, which is beneficial for improving product performance and reliability.

[0086] In one possible implementation, please refer to Figure 4 S100, before determining the bending force of each test data point in each region based on the transfer function and the bending force signals of multiple test data points corresponding to each region in the middle frame region, the method further includes: S101 performs a fast Fourier transform on the input and output signals based on the test data and calculates the frequency response function.

[0087] As can be understood, the frequency response function is the ratio of the output signal to the input signal in the frequency domain, reflecting the response characteristics to different frequency excitations.

[0088] For example, the input and output signals of the test data can be discretely sampled to obtain the corresponding time-domain sequences. The Fast Fourier Transform (FFT) is then applied to convert the time-domain signals into frequency-domain complex sequences. The frequency response function is obtained by comparing the ratio of the frequency-domain complex sequences corresponding to the input signal and the frequency-domain complex sequences corresponding to the output signal.

[0089] S102, the transfer function is obtained by fitting the frequency response function.

[0090] For example, the test data includes an input force signal and an output displacement signal. For instance, the input force signal is F(t) = 30sin(2π×5t)N, and the output displacement signal, after being processed by FFT, has an amplitude of 0.2mm at 5Hz. The transfer function can be obtained by fitting the frequency response function using the MATLAB system identification toolbox.

[0091] Through the steps S101 to S102 described above, the system frequency response characteristics can be extracted from the test data efficiently and accurately, and a transfer function model can be established, overcoming the shortcomings of traditional methods in terms of computational efficiency, multimodal coupling, and engineering adaptability. Fitting the transfer function to the frequency response function helps improve the practicality of the model.

[0092] In one possible implementation, please refer to Figure 4 S200, the target bending force for each region is obtained based on the bending force of each region, including: S210, the target bending force of each region is obtained by weighted fusion of multiple test data based on the bending force confidence of each region.

[0093] For example, the confidence level of bending force can be calculated based on the statistical characteristics of bending force in each region (such as standard deviation and coefficient of variation). For instance, the confidence level C for region j... j Can be defined as C j =1 / (1+CV j ), where CV j It is the coefficient of variation. The target bending force for each region can be obtained by weighting the bending forces corresponding to multiple test data for each region according to the confidence level.

[0094] Through step S210 above, by weighting with confidence levels, high-reliability data is prioritized, thereby reducing the estimation error of the target bending force. The confidence level can be flexibly defined by combining physical models (such as finite element simulation) or statistical characteristics, which is beneficial for adapting to different materials (such as metals and composite materials) and test scenarios (such as static and dynamic loading). With the addition of new test data, the confidence level and target bending force can be dynamically updated, supporting online monitoring and predictive maintenance.

[0095] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0096] Corresponding to the mobile phone mid-frame anti-bending structure design method described in the above embodiments, this application embodiment also provides a mobile phone mid-frame anti-bending structure design device, the various modules of which can realize the various steps of the mobile phone mid-frame anti-bending structure design method. Figure 6 The diagram shows a structural block diagram of the mobile phone mid-frame anti-bending structure design device provided in the embodiment of this application. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0097] Reference Figure 6 The device includes: A bending force module is used to determine the bending force of each test data in each region based on the transfer function and the bending force signal of multiple test data corresponding to each region in the mid-frame region. The transfer function reflects the influence of bending force between different regions in the mid-frame region. The mid-frame region includes a core region, a functional region, an edge region, and a connecting region. The core region includes a four-sided frame and a mid-plate. The functional region includes an antenna breakpoint region, a heat dissipation module, an interface region, and a camera module support region. The edge region refers to the four corner regions and the side corner regions. The connecting region refers to the area where the screen and the back cover connect. The target bending force module is used to obtain the target bending force of each region based on the bending force of each region; wherein, the target bending force is used to quantify the bending resistance requirement; The first region module is used to determine a first region based on each of the target bending forces; wherein, the first region is the region in the middle frame region that currently needs to be optimized; A first structural parameter module is used to determine the structural parameters of the first region; wherein the structural parameters include thickness and / or porosity; The second structural parameter module is used to determine the structural parameters of the second region based on the structural parameters of the first region; wherein, the second region is the region in the middle frame region that is affected by the first region.

[0098] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0099] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0100] This application also provides an electronic device. Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 7 As shown, the electronic device 7 of this embodiment includes: at least one processor 70 ( Figure 7 Only one is shown in the image), at least one memory 71 ( Figure 7 (Only one is shown in the image) and a computer program 72 stored in the at least one memory 71 and executable on the at least one processor 70. When the processor 70 executes the computer program 72, it causes the electronic device 7 to implement the steps in any of the above embodiments of the mobile phone frame anti-bending structure design method, or causes the electronic device 7 to implement the functions of each module / unit in the above embodiments of the device.

[0101] For example, the computer program 72 may be divided into one or more modules / units, which are stored in the memory 71 and executed by the processor 70 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 72 in the electronic device 7.

[0102] The electronic device 7 can be a computing device such as an industrial computer, a programmable logic controller, a desktop computer, a laptop, a handheld computer, or a cloud server. This electronic device may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will understand that... Figure 7 The example shown is merely an illustration of electronic device 7 and does not constitute a limitation on electronic device 7. It may include more or fewer components than shown, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.

[0103] The processor 70 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0104] In some embodiments, the memory 71 may be an internal storage unit of the electronic device 7, such as a hard disk or memory of the electronic device 7. In other embodiments, the memory 71 may be an external storage device of the electronic device 7, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 7. Furthermore, the memory 71 may include both internal and external storage units of the electronic device 7. The memory 71 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 71 can also be used to temporarily store data that has been output or will be output.

[0105] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0106] This application provides a computer program product that, when run on an electronic device, causes the electronic device to perform the steps in any of the above method embodiments.

[0107] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to an electronic device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0108] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0109] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] In the embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0111] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0112] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for designing a bending-resistant structure for a mobile phone mid-frame, characterized in that, include: The bending force of each test data point in each region is determined based on the transfer function and the bending force signal of multiple test data points corresponding to each region in the mid-frame region. The transfer function reflects the influence of bending force between different regions in the mid-frame region. The mid-frame region includes a core region, a functional region, an edge region, and a connecting region. The core region includes the four surrounding frames and the mid-plate. The functional region includes the antenna breakpoint region, the heat dissipation module, the interface region, and the camera module support region. The edge region refers to the four corner regions and the side corner regions. The connecting region refers to the area where the screen connects to the back cover. The target bending force for each region is obtained based on the bending force of each region; wherein, the target bending force is used to quantify the bending resistance requirement; A first region is determined based on the target bending forces described above; wherein, the first region is the region in the middle frame region that currently needs to be optimized; Determine the structural parameters of the first region; wherein the structural parameters include thickness and / or porosity; The structural parameters of the second region are determined based on the structural parameters of the first region; wherein, the second region is the region in the middle frame region that will be affected by the first region.

2. The mobile phone mid-frame anti-bending structure design method as described in claim 1, characterized in that, Determining the first region based on each of the target bending forces includes: The contribution rate is obtained based on the proportion of each target bending force. The test data for each region is perturbed, and the rate of change of the bending force of each target is calculated to obtain the sensitivity. The first region is determined based on the contribution rate and the sensitivity.

3. The mobile phone mid-frame anti-bending structure design method as described in claim 1, characterized in that, Determining the structural parameters of the first region includes: Determine the functional relationship between the target bending forces and the structural parameters of each region in the middle frame region; The structural parameters of the first region are determined based on the functional relationship between the target bending forces and the structural parameters.

4. The mobile phone mid-frame anti-bending structure design method as described in claim 3, characterized in that, Determining the structural parameters of the first region based on the functional relationship between each of the target bending forces and the structural parameters includes: When the target bending force meets the first preset range, the first parameter value of the structural parameters of the first region is determined based on the functional relationship; wherein, the first preset range refers to the preset range of the target bending force under the basic working condition; When the target bending force meets the second preset range, the second parameter value of the structural parameters of the first region is determined based on the functional relationship; wherein, the second preset range refers to the preset range of the target bending force under extreme working conditions; The structural parameters of the first region are obtained based on the first parameter value and the second parameter value.

5. The mobile phone mid-frame anti-bending structure design method as described in claim 4, characterized in that, Determining the structural parameters of the second region based on the structural parameters of the first region includes: If the target bending force is determined to meet the first preset range, the third parameter value of the structural parameters of the second region is determined based on the structural parameters of the first region and the functional relationship. If the target bending force is determined to meet the second preset range, the fourth parameter value of the structural parameters of the second region is determined based on the structural parameters of the first region and the functional relationship. The structural parameters of the second region are obtained based on the third parameter value and the fourth parameter value.

6. The mobile phone mid-frame anti-bending structure design method as described in claim 1, characterized in that, Before determining the structural parameters of the second region based on the structural parameters of the first region, the method further includes: For each candidate region in the middle frame region other than the first region, at least one set of collaborative feature pairs is obtained based on the features of the first region and the features of the candidate regions; wherein each set of collaborative feature pairs includes independent attributes of the first region, independent attributes of the candidate regions, and the relationship between the first region and the candidate regions; The probability that the candidate region is the second region is obtained based on the collaborative features.

7. The mobile phone mid-frame anti-bending structure design method as described in claim 1, characterized in that, The method further includes: The confidence level of bending force in each region was determined based on the test data from multiple tests. The target bending force curve is determined based on the confidence level of each bending force.

8. The mobile phone mid-frame anti-bending structure design method as described in claim 7, characterized in that, Determining the structural parameters of the first region further includes: The structural parameters of the first region are obtained using a particle swarm optimization algorithm based on the target bending force curve.

9. The mobile phone mid-frame anti-bending structure design method as described in claim 1, characterized in that, Before determining the bending force of each test data point in each region based on the transfer function and the bending force signal of multiple test data points corresponding to each region in the middle frame region, the method further includes: Based on the test data, perform a Fast Fourier Transform on the input and output signals, and calculate the frequency response function. The transfer function is obtained by fitting the frequency response function.

10. The mobile phone mid-frame anti-bending structure design method as described in claim 7, characterized in that, The step of obtaining the target bending force for each region based on the bending force of each region includes: The target bending force for each region is obtained by weighted fusion of multiple test data based on the bending force confidence levels of each region.

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