A method for determining the structure of a rotating shaft component, a rotating shaft component, a rotating shaft assembly and an electronic device

Abstract

An embodiment of the present application provides a method for determining the structure of a rotating shaft component, a rotating shaft component, a rotating shaft assembly, and an electronic device, which relates to the field of terminal technologies. The method trains a first prediction network by using multiple groups of dimensional data of primitive structures and the first force information corresponding to each group of dimensional data, and then predicts the first force information and the first weight reduction rate corresponding to the first dimensional data according to the first prediction network, and determines target dimensional data that is compatible with excellent mechanical properties, a lighter mass, and stronger manufacturability from the first dimensional data according to the first dimensional data and the corresponding first force information and first weight reduction rate, and applies the target dimensional data to the blind hole setting of the rotating shaft component, which can not only reduce the mass of the rotating shaft component, but also enable the rotating shaft component to have excellent mechanical properties and stronger manufacturability.

Description

Technical Field

[0001] This application relates to the technical field of terminals, and in particular, to a method for determining the structure of a rotating shaft component, a rotating shaft component, a rotating shaft assembly, and an electronic device. Background Art

[0002] Since the development of smart phones to date, one of the most obvious trends is the increase in screen size. A larger screen means better visual effects and more convenient operation, and a folding screen phone can increase the screen size without significantly increasing the overall size of the device.

[0003] However, the problems of folding screen phones are also obvious. One of them is the large weight, and the rotating shaft assembly of the folding screen phone accounts for a large part of the weight. How to "reduce the weight" of the rotating shaft assembly has become an urgent problem in the industry. Summary of the Invention

[0004] Embodiments of this application provide a method for determining the structure of a rotating shaft component, a rotating shaft component, a rotating shaft assembly, and an electronic device, which can reduce the weight of the rotating shaft structure and the electronic device.

[0005] To achieve the above objective, the embodiments of this application adopt the following technical solutions:

[0006] In a first aspect, this application provides a method for determining the structure of a rotating shaft component, which is used to determine the structure of a blind hole on the rotating shaft component. The method includes: training a first neural network according to multiple groups of dimension data of primitive structures and the first force information corresponding to each group of dimension data, where the first force information is used to indicate the force condition when a first honeycomb structure drops, and the first honeycomb structure is obtained by setting any one of the primitive structures on a solid structure; then, the first force information and the first weight reduction rate corresponding to the first dimension data can be predicted according to the first prediction network, where the first weight reduction rate is the proportion of the weight reduced by the first honeycomb structure relative to the solid structure, and the first dimension data is any group of dimension data within the first parameter range; finally, the target dimension data is determined according to the first dimension data, its corresponding first force information, and the first weight reduction rate, where the target dimension data is the dimension data adopted by the blind hole. It can be understood that the first force information can be used to reflect the strength of the first honeycomb structure, the first weight reduction rate can be used to reflect the reduced weight of the first honeycomb structure, and the dimension data can be used to reflect the manufacturability of the corresponding primitive structure. Therefore, the target dimension data obtained in the embodiments of this application is data obtained by comprehensively evaluating the strength, weight reduction ratio, and manufacturability of the first honeycomb structure. Setting the blind hole based on the target dimension data can enhance the strength of the rotating shaft component (such as the shaft cover), reduce the weight of the rotating shaft component, and ensure the manufacturability of the rotating shaft component.

[0007] In an implementation provided in the first aspect, the above-mentioned dimensional data includes the number of sides, side length, thickness, and surface diameter of the primitive structure. Before training the first prediction network, the above method further includes: performing Monte Carlo sampling on the number of sides, side length, thickness, and surface diameter a first preset number of times within a first parameter range to obtain multiple sets of dimensional data, and performing finite element modeling on the multiple sets of dimensional data to obtain first force information corresponding to each set of dimensional data. That is to say, parametric modeling can be performed on the primitive structure to perform force analysis on different primitive structures and obtain first force information corresponding to different primitive structures.

[0008] In an implementation provided in the first aspect, before training the first prediction network, the above method further includes: determining the first number of network layers and the first number of neurons according to the number of multiple sets of dimensional data, and constructing a first neural network based on the first number of network layers, the first number of neurons, and a preset first activation function. That is to say, the first neural network provided in the embodiments of the present application is related to the number of multiple sets of dimensional data, so that the best neural network for the fitting task can be constructed.

[0009] In an implementation provided in the first aspect, the process of training the first neural network includes: constructing multiple first training samples with multiple sets of dimensional data as features and the corresponding first force information as labels, iteratively training the first neural network according to the multiple first training samples, updating the network parameters of the first neural network according to the first loss function during the iteration process, and stopping the iterative training when the convergence condition is met to obtain the first prediction network. It should be noted that the above first loss function is preset.

[0010] In an implementation provided in the first aspect, the above method further includes: training a second neural network according to multiple sets of arrangement parameters of the target primitive structure and the second force information corresponding to each set of arrangement parameters, to obtain a second prediction network. The second force information is used to indicate the force condition when the second honeycomb structure falls. The second honeycomb structure is obtained by arranging the target primitive structure according to any one of the arrangement parameters. The target primitive structure is the primitive structure corresponding to the target size data. Then, according to the second prediction network, predict the second force information and the second weight reduction rate corresponding to the first arrangement parameter. The second weight reduction rate is the proportion of the weight reduced by the second honeycomb structure relative to the solid structure. The first arrangement parameter is any one set of arrangement parameters within the second parameter range. Finally, determine the target arrangement parameter according to the first arrangement parameter and the corresponding second force information and second weight reduction rate. The target arrangement parameter is used when arranging blind holes on the rotating shaft component. It can be understood that the second force information can be used to reflect the strength of the second honeycomb structure, the second weight reduction rate can be used to reflect the reduced weight of the second honeycomb structure, and the arrangement parameter can be used to reflect the manufacturability of the corresponding arrangement method. Therefore, the target arrangement parameter obtained in the embodiments of the present application is data obtained by comprehensively evaluating the strength, weight reduction ratio, and manufacturability of the second honeycomb structure. Arranging blind holes based on the target arrangement parameter can enhance the strength of the rotating shaft component, reduce the weight of the rotating shaft component, and ensure the manufacturability of the rotating shaft component.

[0011] In an implementation provided in the first aspect, the above arrangement parameters include offset, gradient, chamfer radius, sequence coordinates, number of hierarchical levels, and primitive quantity ratio. Before training the second neural network, the above method further includes: performing Monte Carlo sampling on the offset, gradient, chamfer radius, sequence coordinates, number of hierarchical levels, and primitive quantity ratio for a second preset number of times within the second parameter range to obtain the multiple sets of arrangement parameters, and performing finite element modeling based on the target size data and the multiple sets of arrangement parameters to obtain the second force information corresponding to each set of arrangement parameters. That is to say, parametric modeling can be performed on different arrangement methods, and then force analysis can be performed on the second honeycomb structures with different arrangement methods to obtain the first force information corresponding to different arrangement parameters.

[0012] In an implementation provided in the first aspect, before training the second neural network, the above method further includes: determining the number of second network layers and the number of second neurons according to the number of the multiple sets of arrangement parameters, and constructing the second neural network based on the number of second network layers, the number of second neurons, and a preset second activation function. The first neural network obtained in this way is related to the number of multiple sets of arrangement parameters, can better fit the task, and obtain more accurate prediction results.

[0013] In an implementation provided in the first aspect, the process of training the second neural network includes: constructing a plurality of second training samples with multiple sets of layout parameters as features and the corresponding second force information as labels, iteratively training the second neural network according to the multiple second training samples, updating the network parameters of the second neural network according to the second loss function during the iteration process, and stopping the iterative training when the convergence condition is satisfied to obtain the second prediction network.

[0014] In an implementation provided in the first aspect, in addition to being associated with the first dimension data, its corresponding first force information, and the first weight reduction rate, the target dimension data can also be associated with the third force information, and the third force information is used to indicate the force condition when the entity structure falls. That is to say, the target dimension data can also be determined according to the third force information, the first dimension data, and the corresponding first force information and the first weight reduction rate. Among them, by comparing the third force information and the first force information, the strength improved by different first honeycomb structures relative to the entity structure can be determined, and then it can be used as a parameter for evaluating the strength of the first honeycomb structure. Since more influencing factors are considered, the target dimension data obtained in this way is more accurate.

[0015] In an implementation provided in the first aspect, the above-mentioned rotating shaft component is a shaft cover or a fixed support plate of the rotating shaft assembly.

[0016] In the second aspect, the present application provides a rotating shaft component, and a blind hole determined according to the first aspect and any of its implementations is provided on the rotating shaft component. It can be understood that providing a blind hole on the rotating shaft component can effectively reduce the weight of the rotating shaft component without affecting the appearance of the rotating shaft component. In addition, the blind hole is determined by the method of determining the structure of the rotating shaft component described above, and the rotating shaft component can also have strong strength and manufacturability.

[0017] In an implementation provided in the second aspect, the rotating shaft component includes a plurality of support structures, and a plurality of first blind holes are provided on each support structure.

[0018] In an implementation provided in the second aspect, the support structure includes a first support column and a second support column. The first support column is provided on the shaft cover, the second support column is provided on the first support column, and the diameter of the second support column is smaller than the diameter of the first support column. It can be understood that stacking two cylinders with different diameters can increase the contact area between the support structure and the shaft cover without increasing the weight of the support structure compared with directly providing a single cylinder, making the support structure fit more stably with the shaft cover and improving the stability of the support structure.

[0019] In an embodiment provided in the second aspect, a plurality of first blind holes form a plurality of structural layers having the same center. The number of first blind holes included in the plurality of structural layers increases sequentially from the center outwards. The angles formed by any two adjacent first blind holes in the same structural layer with the center are equal, and the distances from the plurality of first blind holes in the same structural layer to the center are equal. This arrangement method is the arrangement method determined by the above method for determining the structure of the rotating shaft component, which can make the rotating shaft component have strong strength, manufacturability and weight reduction ratio.

[0020] In an embodiment provided in the second aspect, the cross-section of the first blind hole is hexagonal, and the first blind hole has a chamfer.

[0021] In an embodiment provided in the second aspect, the rotating shaft component includes a supporting portion and two connecting portions. The two connecting portions are located on both sides of the supporting portion. A plurality of supporting structures are located on the supporting portion. A plurality of second blind holes are provided on the supporting portion and the connecting portions. The structures of the second blind holes and the first blind holes are different, and the arrangement methods of the plurality of second blind holes and the plurality of first blind holes are different. That is to say, according to the structure of the rotating shaft component, blind holes with different structures and different arrangement methods can be adopted at different positions thereof, which is beneficial to arranging more blind holes and further reducing the weight of the rotating shaft component.

[0022] In an embodiment provided in the second aspect, the arrangement methods of the plurality of second blind holes on the supporting portion and the plurality of second blind holes on the connecting portion are different. Similarly, arranging the second blind holes according to different arrangement methods at different positions according to the structure of the rotating shaft component is beneficial to arranging more blind holes and further reducing the weight of the rotating shaft component.

[0023] In an embodiment provided in the second aspect, on the supporting portion, a plurality of second blind holes are arranged in an array form. Any two adjacent second blind holes in the same row have a first displacement in a first direction, and any two adjacent second blind holes in the same column have a second displacement in a second direction. It can be understood that arranging the second blind holes according to a non-uniform arrangement method (that is, the arrangement method determined by the above method for determining the structure of the rotating shaft component) can make the rotating shaft component have strong strength, manufacturability and weight reduction ratio.

[0024] In an embodiment provided in the second aspect, on the connecting portion, a plurality of second blind holes are arranged in an array form, and the distances between any two adjacent second blind holes in the same row are equal, and the distances between any two adjacent second blind holes in the same column are equal. Arranging the second blind holes in a uniform arrangement method in the second region can arrange more second blind holes within a limited position and can further reduce the weight of the rotating shaft component.

[0025] In an embodiment provided in the second aspect, the cross-section of the above-mentioned second blind hole is a curved quadrilateral.

[0026] In an embodiment provided in the second aspect, a plurality of blind holes are arranged in an array form, and the distance between any two adjacent blind holes in the same row is equal, and the distance between any two adjacent blind holes in the same column is equal. That is to say, the plurality of blind holes can be arranged in a uniform layout manner.

[0027] In an embodiment provided in the second aspect, a plurality of blind holes include a plurality of blind holes with different structures. That is to say, the plurality of blind holes can be arranged in a mixed layout manner.

[0028] In an embodiment provided in the second aspect, a plurality of blind holes are arranged in an array form, the distance between two adjacent blind holes in the same row increases sequentially according to a first gradient in the second direction, and / or the distance between two adjacent blind holes in the same column increases sequentially according to a second gradient in the first direction. That is to say, the plurality of blind holes can be arranged in a gradient layout manner.

[0029] In an embodiment provided in the second aspect, the cross-section of the blind hole is at least one of a triangle, a quadrilateral, a pentagon, a hexagon, a curved triangle, a curved quadrilateral, a curved pentagon, and a curved hexagon.

[0030] In an embodiment provided in the second aspect, the thickness of the blind hole is 0.2 mm, and the curved surface diameter of the blind hole is L / 4, where L is the side length of the blind hole.

[0031] In an embodiment provided in the second aspect, no blind holes are provided at both ends of the rotating shaft component in the second direction, and the second direction is the direction where the long side of the rotating shaft component is located. Considering that when the device falls, the two ends of its long side are more likely to land first and be damaged, so no blind holes are provided at both ends of the rotating shaft component in the second direction can improve the strength of the rotating shaft component at both ends and enhance its anti-drop performance.

[0032] In an embodiment provided in the second aspect, the rotating shaft component is the shaft cover or the fixed support plate of the rotating shaft assembly.

[0033] In the third aspect, the present application provides a rotating shaft assembly, which includes the rotating shaft component provided in the second aspect and any of its embodiments.

[0034] In the fourth aspect, the present application provides an electronic device, which includes the rotating shaft assembly provided in the third aspect.

[0035] Fifth aspect, the present application provides an electronic device, the electronic device comprising: a memory and one or more processors; the memory and the processor are coupled; the memory is used to store computer program code, the computer program code includes computer instructions, when the computer instructions are executed by the electronic device, the electronic device is caused to execute the method as described in the first aspect and any one of its embodiments.

[0036] Sixth aspect, the present application provides a computer-readable storage medium, in which computer instructions are stored, when the computer instructions run in an electronic device, the electronic device is caused to execute the method as described in the first aspect and any one of its embodiments.

[0037] Among them, for the technical effects brought by any one of the design manners in the third aspect to the sixth aspect, reference may be made to the technical effects brought by different embodiments in the first aspect or the second aspect, which will not be elaborated here. Description of the Drawings

[0038] Figure 1 It is a schematic structural diagram of an electronic device in a folded state provided by an embodiment of the present application;

[0039] Figure 2 It is a schematic structural diagram of an electronic device in a flattened state provided by an embodiment of the present application;

[0040] Figure 3 It is a schematic structural diagram of another electronic device provided by an embodiment of the present application;

[0041] Figure 4 It is a flowchart of a method for determining the structure of a rotating shaft component provided by an embodiment of the present application;

[0042] Figure 5 It is a flowchart of a method for determining the structure of a rotating shaft component provided by an embodiment of the present application;

[0043] Figure 6 It is a schematic diagram of a primitive structure with a square cross-section and a curved quadrilateral provided by an embodiment of the present application;

[0044] Figure 7 It is a schematic diagram of a physical structure and a honeycomb structure provided by an embodiment of the present application;

[0045] Figure 8 It is a parameter schematic diagram of a first honeycomb structure including different primitive structures provided by an embodiment of the present application;

[0046] Figure 9 It is a schematic structural diagram of a first honeycomb structure provided by an embodiment of the present application;

[0047] Figure 10 Schematic diagram of another first honeycomb structure provided by an embodiment of the present application;

[0048] Figure 11 Flowchart of another method for determining the structure of a rotating shaft component provided by an embodiment of the present application;

[0049] Figure 12 Flowchart of another method for determining the structure of a rotating shaft component provided by an embodiment of the present application;

[0050] Figure 13 Schematic diagram of a uniform arrangement method provided by an embodiment of the present application;

[0051] Figure 14 Schematic diagram of another uniform arrangement method provided by an embodiment of the present application;

[0052] Figure 15 Schematic diagram of a non-uniform arrangement provided by an embodiment of the present application;

[0053] Figure 16 Schematic diagram of a gradient arrangement provided by an embodiment of the present application;

[0054] Figure 17 Schematic diagram of a local strengthening arrangement provided by an embodiment of the present application;

[0055] Figure 18 Schematic diagram of a hierarchical arrangement provided by an embodiment of the present application;

[0056] Figure 19 Schematic diagram of a hybrid arrangement provided by an embodiment of the present application;

[0057] Figure 20 For Figure 12 Specific flowchart of S1201 in

[0058] Figure 21 Flowchart of yet another method for determining the structure of a rotating shaft component provided by an embodiment of the present application;

[0059] Figure 22 Schematic diagram of the training of a first prediction model provided by an embodiment of the present application;

[0060] Figure 23 Schematic diagram of the structure of a shaft cover in a first perspective provided by an embodiment of the present application;

[0061] Figure 24 Schematic diagram of the structure of a shaft cover in a second perspective provided by an embodiment of the present application;

[0062] Figure 25 Cross-sectional view of a shaft cover in a first position provided by an embodiment of the present application;

[0063] Figure 26 A cross-sectional view of a shaft cover provided by an embodiment of the present application at a second position;

[0064] Figure 27 A force diagram for a drop strength test of a shaft cover before and after a blind hole is provided by an embodiment of the present application;

[0065] Figure 28 A schematic structural diagram of a chip system provided by an embodiment of the present application;

[0066] Figure 29 Another schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0067] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this embodiment, unless otherwise stated, the meaning of "a plurality" is two or more.

[0068] Meanwhile, in the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or more advantageous than other embodiments or design solutions. Rather, the use of words such as "exemplarily" or "for example" is intended to present relevant concepts in a specific manner for easy understanding.

[0069] For the sake of clear and concise description of the following embodiments, a brief introduction to the related technologies is given first.

[0070] Finite element simulation: It is a numerical simulation method that regards a continuum as a discrete set composed of a finite number of units connected to each other in a certain way to solve problems such as heat, force, and electromagnetism of the continuum. Finite element simulation is based on the finite element method, decomposes a complex structure or system into a finite number of simple elements, and performs numerical calculations through these elements to obtain the behavior of the overall system.

[0071] Monte Carlo sampling: Also known as the statistical simulation sampling method, it is a method for approximate numerical calculation through random sampling from a probability model. Specifically, simulation means replacing or simulating a certain characteristic or partial state of a real or abstract system with another system (called a simulation model). To solve a problem, it is transformed into a problem of solving a probability model, and then a large number of random numbers that conform to the model are generated. Analyzing the generated random numbers to solve the problem, this method is called the random simulation sampling method, also known as the Monte Carlo sampling method.

[0072] Blind via: A via hole that connects the surface layer and the inner layer without penetrating the entire board.

[0073] Please refer to Figure 1 , which is a schematic structural diagram of an electronic device in a folded state provided by an embodiment of the present application. The electronic device 100 provided by the embodiment of the present application is a foldable electronic device, including a first display screen 10, a second display screen 20, and a rotating shaft assembly 30. Among them, the first display screen 10 is the outer screen of the electronic device 100, and the second display screen 20 is the inner screen of the electronic device 100. The electronic device 100 is in a folded state or a flattened state based on the rotation of the rotating shaft assembly 30. In the folded state, the electronic device 100 displays a picture through the first display screen 10.

[0074] Please refer to Figure 2 , which is a schematic structural diagram of an electronic device in a flattened state provided by an embodiment of the present application. The user can drive the rotation of the rotating shaft assembly 30 to control the electronic device 100 from Figure 1 the folded state shown in Figure 2 to the flattened state shown in

[0075] Please refer to Figure 3 , which is a schematic structural diagram of another electronic device provided by an embodiment of the present application. The electronic device 100 includes a display screen 40 and a rotating shaft assembly 50. The display screen 40 includes a first display area 41, a second display area 42, and a third display area 43.

[0076] The rotating shaft assembly is an important component that can realize the folding function and flattening function of a foldable electronic device. However, its weight occupies a large part of the weight of the foldable electronic device. Therefore, reducing the weight of the rotating shaft assembly is the key to reducing the weight of the foldable electronic device and enhancing the competitiveness of the foldable electronic device.

[0077] In the related art, some components of the rotating shaft assembly are replaced with lightweight materials such as titanium alloy to reduce the weight of the rotating shaft assembly. Although this method can effectively reduce the weight of the rotating shaft assembly and the foldable electronic device, the weight reduction is limited.

[0078] To at least solve the above problems, the present application provides a method for further reducing the weight of the rotating shaft assembly by improving the structure of the rotating shaft assembly.

[0079] An embodiment of the present application provides a rotating shaft component, a rotating shaft assembly including the rotating shaft component, and a first electronic device including the rotating shaft assembly. Blind holes are provided on the rotating shaft component. By providing blind holes on the rotating shaft component, the weight of the rotating shaft component can be reduced, thereby reducing the weight of the rotating shaft assembly and further reducing the weight of the first electronic device. Among them, the rotating shaft component can be a component that is not mainly used for bearing force in the rotating shaft assembly, such as a shaft cover, a fixed support plate, etc. Of course, the above rotating shaft assembly can also include other components such as a base, a swing arm, and a transmission mechanism.

[0080] Considering that blindly providing blind holes on the rotating shaft component may affect the anti-drop performance of the rotating shaft component and increase the manufacturing difficulty of the rotating shaft component, an embodiment of the present application also provides a method for determining the structure of the rotating shaft component, which can be applied to a second electronic device to determine the structure and arrangement of the blind holes on the rotating shaft component to balance the anti-drop performance, weight, and manufacturability of the rotating shaft component.

[0081] The above first electronic device is a foldable electronic device, such as a foldable mobile phone, a foldable tablet, a notebook computer, etc. The above second electronic device can be a mobile phone, a tablet computer, a desktop, laptop or handheld computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a cellular phone, a personal digital assistant (PDA), and an augmented reality (AR) / virtual reality (VR) device, etc., which are devices with data processing capabilities. The specific forms of the first electronic device and the second electronic device in the embodiments of the present application are not specifically limited.

[0082] The following will describe the solution provided by the embodiment of the present application with reference to the drawings.

[0083] Please refer to Figure 4 , when the second electronic device determines the structure of the rotating shaft component, it mainly includes the following three steps:

[0084] (1) Parametric modeling of different primitive structures is performed and mechanical properties are analyzed. Then, the mechanical properties of more primitive structures are predicted based on the dimensional data and corresponding mechanical properties of the aforementioned primitive structures, and finally the target primitive structure is screened out.

[0085] (2) Based on the above target primitive structure, different arrangements are parameterized and modeled and their mechanical properties are analyzed. Then, based on the above arrangement and the corresponding mechanical properties, the mechanical properties of more arrangements are predicted, and finally the target arrangement is determined.

[0086] (3) A blind hole is provided in the shaft component according to the size data and target arrangement of the target primitive structure.

[0087] It should be noted that the primitive structure can be understood as a basic structural unit that is periodically and regularly repeated on a certain physical structure. According to the actual application, the primitive structure can be a through hole, a blind hole, or the smallest part that constitutes a certain structure, etc. The following text takes the primitive structure as a through hole as an example for explanation.

[0088] See also Figure 5 , is a flow chart of a method for determining the structure of a shaft component provided in an embodiment of the present application, which method can be used to determine the target size data of a primitive structure. Figure 5 As shown, the method may include S501~S504.

[0089] S501, obtaining multiple groups of dimension data of a primitive structure and corresponding first force information.

[0090] For example, the plurality of sets of dimension data and the corresponding first force information can be Figure 5 Medium distribution Figure 1 It can be seen that the samples formed by the above multiple sets of size data and their corresponding first force information are discrete (distribution Figure 1 Each point in the is a sample.

[0091] In the embodiment of the present application, a set of dimension data includes the number of sides, side length, thickness and curved surface diameter of the primitive structure, which can be used to determine the structure of the primitive structure. The number of sides, side length, thickness and curved surface diameter are all within a certain range, and the range of the number of sides, the range of side length, the range of thickness and the range of curved surface diameter can be collectively referred to as a first parameter range. In other words, any set of dimension data is within the first parameter range.

[0092] It should be noted that, when the edge of the primitive structure is a straight line, the edge length is the length of the edge; when the edge of the primitive structure is a curve, the edge length is the length of the edge of the polygon circumscribed to the primitive structure. In addition, the above-mentioned curved surface diameter is the diameter of the curved surface formed by two adjacent edges. For example, Figure 6A primitive structure with a square cross-section and a curved quadrilateral is shown, where the side length of the square is L1 and the curved surface diameter R is 0; the side length of the curved quadrilateral is the side length of the square circumscribing it (as shown by the dashed line), i.e., L2, and the curved surface diameter R is L2 / 4.

[0093] Taking the number of sides as N, the side length as L, the thickness as T, and the curved surface diameter as R as an example, the first parameter range can be: 3 ≤ N ≤ 6, L ≥ 0.33 mm, T ≥ 0.1 mm, R ≤ L / 2. A set of dimension data is, for example: N = 3, L = 0.5 mm, T = 0.2 mm, R = 0.05 mm.

[0094] Exemplarily, multiple sets of dimension data include dimension data 1, dimension data 2,..., dimension data m, where dimension data 1 includes N1, L1, T1, and R1, dimension data 2 includes N2, L2, T2, and R2,..., dimension data m includes Nm, Lm, Tm, and Rm. The first force information corresponding to dimension data 1 is force information F1, the first force information corresponding to dimension data 2 is force information F2,..., and the first force information corresponding to dimension data m is force information Fm.

[0095] The above-mentioned first force information is used to indicate the force condition when the first honeycomb structure falls. The first honeycomb structure is obtained by arranging the primitive structure on the solid structure. It should be noted that the solid structure in the embodiments of the present application is a structure relative to the honeycomb structure, only indicating that it does not have the primitive structure arranged, and does not specifically refer to any specific structure.

[0096] The first force information corresponding to the above-mentioned dimension data can be used to indicate the force condition when the first honeycomb structure corresponding to the dimension data falls. The first honeycomb structure corresponding to the dimension data can be understood as being obtained by arranging the primitive structure indicated by the dimension data on the solid structure. For example, dimension data 1 indicates primitive structure 1. Arranging primitive structure 1 on the solid structure can obtain honeycomb structure 1. Thus, the first honeycomb structure corresponding to dimension data 1 is honeycomb structure 1, and the first force information corresponding to dimension data 1 is used to indicate the force condition when honeycomb structure 1 falls.

[0097] In an alternative embodiment, the above-mentioned first force information may include the forces (which can be simply referred to as forces) received by each part of the first honeycomb structure when it falls. Therefore, the maximum force (hereinafter simply referred to as the maximum falling force) received by the first honeycomb structure when it falls can be determined through this force condition.

[0098] It should be noted that setting the primitive structure on the entity structure may refer to setting the primitive structure on the entity structure according to a preset arrangement method, or setting a preset number of primitive structures on the entity structure. In short, the same method can be used for different primitive structures. For example, the embodiments of the present application do not limit the method of setting the primitive structure.

[0099] Exemplarily, Figure 7 A kind of entity structure 701 is shown. By uniformly setting the primitive structure 702 on the entity structure 701, a honeycomb structure 703 can be obtained. The primitive structure 702 is a curved quadrilateral structure.

[0100] S502. Train the first neural network according to multiple groups of dimension data and the corresponding first force information to obtain a first prediction network.

[0101] It can be understood that the first prediction network is a converged first neural network. In the embodiments of the present application, the inputs of the above-mentioned first neural network and the first preset network are dimension data, and the outputs are the first weight reduction rate and the first force information. Among them, the description of the first force information can be referred to above and will not be elaborated here. The first weight reduction rate is the proportion of the weight reduced by the first honeycomb structure relative to the entity structure. The first weight reduction rate corresponding to the dimension data is the proportion of the weight reduced by the first honeycomb structure corresponding to the dimension data relative to the entity structure. Taking the weight of the above-mentioned entity structure as S1 and the weight of the above-mentioned honeycomb structure 1 as S2 as an example, the first weight reduction rate corresponding to the dimension data 1 is (S1 - S2) / S1.

[0102] For example, inputting the above-mentioned dimension data 1 into the first preset network can obtain a weight reduction rate 1 and force information 1. Then, the weight reduction rate 1 is the first weight reduction rate corresponding to the dimension data 1, which is used to reflect the proportion of the weight reduced by the honeycomb structure 1 relative to the entity structure; the force information 1 is the first force information corresponding to the dimension data 1, which is used to indicate the force condition when the honeycomb structure 1 drops.

[0103] S503. Predict the first force information and the first weight reduction rate corresponding to the first dimension data according to the first prediction network.

[0104] Among them, the first dimension data is any group of dimension data that meets the first parameter range.

[0105] Exemplarily, the first dimension data and its corresponding first force information can be distributed in the Figure 5 distribution shown in Figure 2 . It can be seen that the samples formed by the first dimension data and its corresponding first force information are continuous.

[0106] That is to say, in the embodiment of the present application, the first neural network can be trained with discrete samples (i.e., multiple sets of size data and their corresponding first force information) to obtain the first prediction network, and then the first force information and the first weight reduction rate of continuous data can be predicted through the first prediction network to obtain continuous samples, realizing the transformation from discrete samples to continuous samples. This can greatly increase the sample size that the second electronic device can analyze, and then screen the optimal solution within the first parameter range, that is, the target size data, from more samples.

[0107] S504. Determine the target size data according to the first size data, the corresponding first force information, and the first weight reduction rate.

[0108] Among them, the target size data is the size data adopted for the blind hole.

[0109] In the embodiment of the present application, the second electronic device can evaluate the strength, weight reduction ratio, and manufacturability of the first honeycomb structure according to the first size data, the corresponding first force information, and the first weight reduction rate, and determine the target size data from the first size data based on the strength, weight reduction ratio, and manufacturability.

[0110] Among them, the strength of the first honeycomb structure can be determined by the maximum falling force, the curved surface diameter, and the thickness of the primitive structure when the first honeycomb structure falls. According to the foregoing, the maximum falling force when the first honeycomb structure falls can be determined by the corresponding first force information. Among them, the smaller the maximum falling force and the curved surface diameter, the stronger the strength of the first honeycomb structure, and the larger the thickness, the stronger the strength of the first honeycomb structure.

[0111] The weight reduction ratio of the first honeycomb structure can be determined by the above-mentioned first weight reduction rate, and the larger the first weight reduction rate, the larger the weight reduction ratio.

[0112] The manufacturability of the first honeycomb structure can be determined by the number of sides, the side length, and the curved surface diameter of the primitive structure in the honeycomb structure. Among them, the larger the number of sides, the smaller the side length, or the smaller the curved surface diameter, the smaller the manufacturability.

[0113] Optionally, the second electronic device can not only consider the force conditions when different first honeycomb structures fall by themselves, but also compare the force conditions when the first honeycomb structure falls with the force conditions when the solid structure falls to determine whether there is an optimization in the strength of the first honeycomb structure relative to the solid structure.

[0114] Thus, the second electronic device can also determine the target size data of the primitive structure according to the third force information, the first size data, the corresponding first force information, and the first weight reduction rate. Among them, the third force information is used to indicate the force condition when the solid structure falls.

[0115] Specifically, the second electronic device can determine the force ratio based on the first force information and the third force information. The force ratio is the ratio of the maximum falling force when the first honeycomb structure falls to the maximum falling force when the solid structure falls. Among them, the larger the force ratio, the greater the maximum falling force when the first honeycomb structure falls, and the less the strength improved by the first honeycomb structure relative to the solid structure.

[0116] In an alternative embodiment, the second electronic device can determine the strength score 1 of the first honeycomb structure based on the maximum falling force, force ratio, curved surface diameter, and thickness of the primitive structure when the first honeycomb structure falls, determine the weight reduction ratio score 2 based on the first weight reduction rate, and determine the manufacturability score 3 based on the number of sides, side length, and curved surface diameter of the primitive structure. Then, perform a weighted sum on the scores 1, 2, and 3 to obtain the total score, and comprehensively evaluate the strength, weight reduction ratio, and manufacturability of the first honeycomb structure through this total score.

[0117] Optionally, the second electronic device can use the dimension data used by the primitive structure in the first honeycomb structures ranked in the top preset positions in the total score ranking as the target dimension data. For example, if the top 3 honeycomb structures are honeycomb structure 1, honeycomb structure 2, and honeycomb structure 3, the primitive structure in honeycomb structure 1 uses dimension data 1, the primitive structure in honeycomb structure 2 uses dimension data 2, and the primitive structure in honeycomb structure 3 uses dimension data 3, then dimension data 1, dimension data 2, and dimension data 3 are all target dimension data.

[0118] In the embodiments of the present application, through the analysis of each sample by the second electronic device, it can be known that when the thickness T is 0.2 mm and the curved surface diameter R = L / 4, the first honeycomb structure has relatively excellent strength, weight reduction ratio, and manufacturability. On this basis, further analyze and compare the maximum falling force, force ratio, and the first weight reduction rate of different first honeycomb structures under the conditions of T = 0.2 mm and R = L / 4. Among them, Figure 8 shows the parameter schematic diagrams of the first honeycomb structures with primitive structures being triangular structure, quadrilateral structure, pentagonal structure, hexagonal structure, curved surface triangular structure, curved surface quadrilateral structure, curved surface pentagonal structure, and curved surface hexagonal structure respectively. As Figure 8 shown, Figure 8 In, the abscissa is the first honeycomb structure with different primitive structures, the left ordinate is the maximum falling force, and the right ordinate is the side length, force ratio, and the first weight reduction rate. For the sake of simplified description below, the primitive structure is used to represent the first honeycomb structure including this primitive structure. For example, the maximum falling force of the curved surface triangular structure actually refers to the maximum falling force of the first honeycomb structure with the primitive structure being the curved surface triangular structure.

[0119] As Figure 8As shown, the maximum impact force of all the first honeycomb structures upon dropping relative to the solid structure decreases. That is to say, the first honeycomb structures have stronger strength relative to the solid structure.

[0120] Continuing to refer to Figure 8 , for the curved surface triangular structure relative to the triangular structure, both its maximum impact force and force ratio upon dropping decrease, and the side length and the first weight reduction rate are basically the same; for the curved surface quadrilateral structure relative to the quadrilateral structure, both its maximum impact force and force ratio upon dropping decrease, the first weight reduction rate is basically the same, and the side length slightly increases; for the curved surface pentagonal structure relative to the pentagonal structure, both its maximum impact force and force ratio upon dropping decrease, and the side length and the first weight reduction rate are basically the same; for the curved surface hexagonal structure relative to the hexagonal structure, both its maximum impact force and force ratio upon dropping decrease, and the side length and the first weight reduction rate are basically the same. By simple comparison, it can be seen that among the above different primitive structures, the curved surface hexagonal structure has excellent strength and the first weight reduction ratio, but its side length is the smallest and the manufacturing difficulty is the greatest. In addition, the curved surface design can enhance the mechanical properties of the honeycomb structure by about 1.5 times, and the curved surface has the greatest improvement on the mechanical properties of the quadrilateral.

[0121] Generally speaking, the curved surface quadrilateral structure and the hexagonal structure among these two primitive structures have better comprehensive performance in terms of strength, weight reduction rate and manufacturability, and their dimensional data can be used as the target dimensional data.

[0122] Common primitives include regular structures such as triangles, squares, pentagons, hexagons or circles. Exemplarily, Figure 9 shows the first honeycomb structures with primitive structures being triangular structures, square structures, hexagonal structures and circular structures. For Figure 9 the first honeycomb structure shown, the second electronic device can directly determine its relative density ρ r , elastic modulus E, Poisson's ratio υ and in-plane compressive strength σ according to the dimensional data of its primitive structure to analyze its mechanical properties and weight reduction performance. Table 1 shows Figure 9 the relative density ρ r , elastic modulus E, Poisson's ratio υ and in-plane compressive strength σ of different first honeycomb structures in

[0123] Among them, the relative density ρ r refers to the ratio of the density of the first honeycomb structure to the density of the solid structure, which can evaluate the weight reduction situation of the first honeycomb structure. The larger the relative density ρ r , the smaller the weight reduction ratio of the honeycomb structure.

[0124] The elastic modulus E, Poisson's ratio υ and in-plane compressive strength σ can evaluate the deformation resistance and strength of the first honeycomb structure. Among them, the elastic modulus E is used to reflect the deformation resistance of the first honeycomb structure, and the larger the elastic modulus E, the less likely the first honeycomb structure is to undergo elastic deformation, that is, the stronger the deformation resistance. Poisson's ratio υ is used to reflect the degree of deformation of the first honeycomb structure when it is subjected to force, and the larger the Poisson's ratio υ, the greater the deformation of the first honeycomb structure when it is subjected to force. The in-plane compressive strength σ is used to reflect the maximum force that the first honeycomb structure can withstand in the in-plane direction. The larger the in-plane compressive strength σ, the greater the maximum force that the first honeycomb structure can withstand, and the better the anti-fall performance of the first honeycomb structure and the stronger the strength.

[0125] Table 1

[0126]

[0127] In Table 1, is the side length of the triangle, square and hexagon, r is the radius of the circle, t is the thickness, is the elastic modulus of the corresponding solid structure, is the in-plane compressive strength of the corresponding solid structure, is the in-plane compressive strength in the x-axis direction, is the in-plane compressive strength in the y-axis direction.

[0128] The above-mentioned primitive structures are limited, and considering that many curved structures in nature, such as turtle shells, woodpecker beaks and other structures have high strength and energy absorption efficiency. Therefore, the embodiment of the present application adopts bionics, and considers corresponding curved structures such as curved triangles, curved quadrilaterals, curved pentagons and curved hexagons based on common primitive structures such as triangles, quadrilaterals, pentagons and hexagons. Among them, the first honeycomb structure whose primitive structures are curved triangles, curved quadrilaterals, curved pentagons and curved hexagons can be as follows: Figure 10 shown.

[0129] Since it is difficult to determine the mechanical properties of irregular curved structures directly based on their dimensional data, we can first perform parametric modeling on the curved structure and then use finite element modeling to obtain the corresponding first force information. Figure 11 , which shows the specific steps of the above S501. The S501 may include S5011 and S5012.

[0130] S5011, performing a first preset number of Monte Carlo analysis on the number of edges, edge length, thickness, and surface diameter within a first parameter range to obtain multiple sets of dimension data.

[0131] Among them, the Monte Carlo sampling methods can be random sampling, uniform distribution layer sampling, non-uniform distribution layer sampling, and Hammersley sampling. The second electronic device can randomly use any one of the Monte Carlo sampling methods to sample the number of sides, side length, thickness, and surface diameter, and obtain Figure 5 the multiple sets of dimension data shown.

[0132] S5012. Perform finite element modeling on the multiple sets of dimension data to determine the first force information corresponding to each set of dimension data.

[0133] In the embodiment of the present application, each set of dimension data can be input into the Abaqus finite element simulation software to obtain the first force information corresponding to each set of dimension data.

[0134] The above method parameterizes the primitive structure, which is convenient for analyzing the force conditions of different primitive structures.

[0135] Considering that not only the structure of the primitive structure affects strength, weight reduction ratio, and manufacturability, but also the arrangement pattern of the primitive structure affects strength, weight reduction ratio, and manufacturability. For this reason, please refer to Figure 12 , the embodiment of the present application also provides another method for determining the structure of the rotating shaft component, which can be used to determine the arrangement pattern of the primitive structure. As Figure 12 shown, this method includes S1201~S1204.

[0136] S1201. Obtain multiple sets of arrangement parameters of the target primitive structure and the corresponding second force information.

[0137] Among them, the arrangement parameters are used to indicate the arrangement pattern of the target primitive structure. Common arrangement patterns include uniform arrangement, non-uniform arrangement, gradient arrangement, local strengthening arrangement, layered arrangement, and hybrid arrangement. The above multiple arrangement patterns will be introduced respectively below with reference to the accompanying drawings.

[0138] In the embodiment of the present application, there are two types of uniform arrangement patterns, and the two types of uniform arrangement patterns will be introduced respectively below.

[0139] First, the same primitive structures are arranged in an array form, and the distance between any two adjacent primitive structures in the same row is equal, and the distance between any two adjacent primitive structures in the same column is equal. Exemplarily, Figure 13 shows a schematic diagram of a uniform arrangement pattern. As Figure 13 shown, the primitive structure is a curved quadrilateral structure, the distance between any two adjacent primitive structures in the same row is d1, and the distance between any two adjacent primitive structures in the same column is d2.

[0140] Second, multiple structural layers with the same center are formed by the same primitive structure, and the angle between any two adjacent primitive structures in the same structural layer is equal. Exemplarily, Figure 14 shows a schematic diagram of another uniform arrangement. As Figure 14 shown, multiple hexagonal primitive structures form two structural layers centered at point A. The structural layer closest to the center includes one primitive structure and is located at point A; the other structural layer includes six primitive structures, and the angle formed by the center of each two adjacent primitive structures and point A is equal, all being α1.

[0141] In the non-uniform arrangement, the same primitive structures are arranged in an array form, and any two adjacent primitive structures in the same row have a first offset in the y-axis direction, and any two adjacent primitive structures in the same column have a second offset in the x-axis direction. The first offset and the second offset may be different. Exemplarily, Figure 15 shows a schematic diagram of a non-uniform arrangement. In Figure 15 , the primitive structure is a quadrilateral structure. In the same row, the first offset of two adjacent primitive structures in the y-axis direction is B1; in the same column, the second offset of two adjacent primitive structures in the x-axis direction is B2.

[0142] In the gradient arrangement, the same primitive structures are arranged in an array form, and the spacing between two adjacent primitive structures in the same row increases successively according to a first gradient, and / or the spacing between two adjacent primitive structures in the same column increases successively according to a second gradient. Exemplarily, Figure 16 shows a schematic diagram of a gradient arrangement. As Figure 16 shown, the primitive structure is a quadrilateral structure, and the spacing between two adjacent primitive structures in the same row increases successively according to the gradient δ, and the spacing between any two adjacent primitive structures in the same column remains unchanged. In other words, the above first gradient is δ, and the second gradient is 0.

[0143] Local strengthening arrangement is to adjust the structure or position of the primitive mechanism on the basis of uniform arrangement. Among them, the adjustment of the primitive structure can be to add chamfers to the primitive structure. Exemplarily, Figure 17 in (a) shows a schematic diagram of a local strengthening arrangement. Among them, the primitive structure is a hexagon, and each hexagon is added with a chamfer α2.

[0144] Adjusting the position of the primitive structure may mean that no primitive structure is set at some positions. Exemplarily, Figure 17 in (b) shows a schematic diagram of another local strengthening arrangement. Among them, no primitive structure is set in area 1701. It should be noted that this local strengthening arrangement can also be called a non-porous local strengthening arrangement.

[0145] In the hierarchical arrangement mode, the entity structure is equally divided into a preset number of units, and then the primitive structures in each unit are set according to the number of hierarchical levels. Among them, when the number of hierarchical levels is 1, each unit includes 1 primitive structure; when the number of hierarchical levels is 2, each unit includes N primitive structures, where N is the side length of the primitive structure; when the hierarchical structure is q, each unit includes (q - 1) × N primitive structures, and the primitive structures in each unit are evenly arranged. Exemplarily, Figure 18 shows a schematic diagram of a hierarchical arrangement. As Figure 18 shown, the primitive structure in this arrangement is a quadrilateral, and unit 1801 includes 4 primitive structures, so the number of hierarchical levels is 2.

[0146] In the hybrid arrangement mode, there are different primitive structures, and the different primitive structures are evenly arranged. In this mode, the quantity ratio of different primitive structures (which can be simply referred to as the primitive quantity ratio) can be preset in advance, and then the primitive structures are randomly set according to the primitive quantity ratio. Exemplarily, Figure 19 shows a schematic diagram of a hybrid arrangement. Among them, the primitive structures include quadrilaterals, curved quadrilaterals, circles, curved triangles, and curved hexagons, and the corresponding primitive quantity ratios are 1:2:1:1:1.

[0147] In the embodiments of the present application, a set of arrangement parameters may include an offset, a gradient, a chamfer radius, a sequence coordinate, the number of hierarchical levels, and the primitive quantity ratio, which can be used to determine the arrangement mode of the primitive structures. Among them, the offset includes the offset in the x-axis direction and the offset in the y-axis direction, and the gradient includes the gradient in the x-axis direction and the gradient in the y-axis direction.

[0148] It can be understood that when only the offset is not 0 in the arrangement parameters, the arrangement mode indicated by the arrangement parameters is the above non-uniform arrangement. When only the gradient is not 0 in the arrangement parameters, the arrangement mode indicated by the arrangement parameters is the above gradient arrangement. When only the chamfer radius is not 0 in the arrangement parameters, the arrangement mode indicated by the arrangement parameters is the above local strengthening arrangement. When only the sequence coordinate and the chamfer radius are not 0 in the arrangement parameters, the arrangement mode indicated by the arrangement parameters is the above non-porous local strengthening arrangement. When only the number of hierarchical levels is not 0 in the arrangement parameters, the arrangement mode indicated by the arrangement parameters is the hierarchical arrangement. When only the primitive quantity ratio is not 0 in the arrangement parameters, the arrangement mode indicated by the arrangement parameters is the hybrid arrangement.

[0149] It should be noted that the above-mentioned offset, gradient, chamfer radius, sequence coordinates, number of hierarchical levels, and ratio of the number of primitive elements are all within a certain range. The ranges of the offset, gradient, chamfer radius, sequence coordinates, number of hierarchical levels, and ratio of the number of primitive elements can be collectively referred to as the second parameter range. That is to say, any set of arrangement parameters is within the second parameter range.

[0150] Exemplarily, multiple sets of arrangement parameters include arrangement parameter 1, arrangement parameter 2,..., arrangement parameter m. Among them, arrangement parameter 1 includes offset 1, gradient 1, chamfer radius 1, sequence coordinates 1, number of hierarchical levels 1, and ratio 1. Arrangement parameter 2 includes offset 2, gradient 2, chamfer radius 2, sequence coordinates 2, number of hierarchical levels 2, and ratio 2,..., arrangement parameter q includes offset q, gradient q, chamfer radius q, sequence coordinates q, number of hierarchical levels q, and ratio q. The second force information corresponding to arrangement parameter 1 is force information P1, the second force information corresponding to arrangement parameter 2 is force information P2,..., and the first force information corresponding to arrangement parameter q is force information Pq.

[0151] The above-mentioned second force information is used to indicate the force condition when the second honeycomb structure falls. The second honeycomb structure is obtained by setting the target primitive structure on the solid structure according to any one of the arrangement parameters. Further, the second force information corresponding to the arrangement parameter is used to indicate the force condition when the second honeycomb structure corresponding to the arrangement parameter falls. The second honeycomb structure corresponding to the arrangement parameter is obtained by setting the target primitive structure on the solid structure according to the corresponding arrangement parameter.

[0152] For example, honeycomb structure 3 is obtained by setting the target primitive structure on the solid structure according to arrangement parameter 3. Then, the second honeycomb structure corresponding to arrangement parameter 3 is honeycomb structure 3, and the second force information corresponding to arrangement parameter 3 is used to indicate the force condition when honeycomb structure 3 falls.

[0153] S1202. Train the second neural network according to multiple sets of arrangement parameters and the corresponding second force information to obtain the second prediction network.

[0154] In the embodiments of the present application, the inputs of the above-mentioned second neural network and the second preset network are arrangement parameters, and the outputs are the corresponding second weight reduction rate and second force information. Among them, the description of the second force information can be found above and will not be elaborated here. The second weight reduction rate is the proportion of the weight reduced by the above-mentioned second honeycomb structure relative to the solid structure. The second weight reduction rate corresponding to the arrangement parameter is the proportion of the weight reduced by the second honeycomb structure corresponding to the arrangement parameter relative to the solid structure. Taking the weight of the above-mentioned solid structure as S1 and the weight of the above-mentioned honeycomb structure 3 as S3 as an example, the second weight reduction rate corresponding to arrangement parameter 3 is (S1 - S3) / S1.

[0155] S1203. Predict the second force information and the second weight reduction rate corresponding to the first layout parameter according to the second prediction network.

[0156] Among them, the first layout parameter is any set of layout parameters that satisfy the second parameter range. Understandably, the first layout parameter is continuous and includes the above-mentioned multiple sets of layout parameters.

[0157] Similarly, the above-mentioned multiple sets of layout parameters and their corresponding second force information can form discrete samples, while the first layout parameter and its corresponding second force information can form continuous samples. In the embodiment of the present application, the second neural network is first trained with discrete samples to obtain the second prediction network, and then the second prediction network is used to predict the second force information and the second weight reduction rate of continuous data to obtain continuous samples, realizing the transformation from discrete samples to continuous samples, increasing the data samples that the second electronic device can analyze, and being more conducive to finding the optimal solution within the second parameter range and determining the optimal layout method.

[0158] S1204. Determine the target layout parameter according to the first layout parameter and the corresponding second force information and second weight reduction rate.

[0159] Among them, the target layout parameter is used when setting blind holes on the rotating shaft component.

[0160] In the embodiment of the present application, the second electronic device can evaluate the strength, weight reduction ratio, and manufacturability of the second honeycomb structure according to the first layout parameter and the corresponding second force information and second weight reduction rate, and determine the target layout parameter from the first layout parameter based on the strength, weight reduction ratio, and manufacturability.

[0161] The strength of the second honeycomb structure can be determined by the maximum force during the drop of the second honeycomb structure. Among them, the greater the maximum force during the drop, the weaker the strength of the second honeycomb structure.

[0162] The weight reduction ratio of the second honeycomb structure can be determined by the above-mentioned second weight reduction rate. The greater the second weight reduction rate, the greater the weight reduction ratio.

[0163] The manufacturability of the second honeycomb structure is related to the layout method it adopts. Among them, the manufacturability of non-uniform layout, gradient layout, and local strengthening layout is relatively high, and the manufacturing difficulty is relatively low; the manufacturability of hybrid layout is moderate; the manufacturability of layered layout is relatively low, and the greater the number of layering levels, the lower the manufacturability.

[0164] It should be noted that the size data of the primitive structure adopted by the second honeycomb structure will also affect its strength, weight reduction ratio, and manufacturability. For relevant content, refer to the content of the strength, weight reduction ratio, and manufacturability of the first honeycomb structure in the previous text, which will not be elaborated here.

[0165] Optionally, the second electronic device can not only consider the stress conditions of different second honeycomb structures during a fall, but also compare the stress conditions of the second honeycomb structure during a fall with those of the third honeycomb structure during a fall to determine whether there is an optimization in the strength of the second honeycomb structure relative to the third honeycomb structure. Among them, the third honeycomb structure is obtained by arranging target primitive structures in a uniform distribution on a solid structure.

[0166] Thus, the second electronic device can also determine the target arrangement parameter according to the second stress information and the second weight reduction rate of the third honeycomb structure, the first arrangement parameter, and the corresponding second stress information and second weight reduction rate.

[0167] In the embodiment of the present application, the second electronic device can determine the maximum falling stress ratio and the relative weight reduction rate of the second honeycomb structure relative to the third honeycomb structure according to the above information to evaluate the strength and weight reduction ratio of the second honeycomb structure. Among them, the maximum falling stress ratio of the second honeycomb structure relative to the third honeycomb structure is: the ratio of the maximum falling stress of the second honeycomb structure during a fall to the maximum falling stress of the third honeycomb structure during a fall. Among them, the larger the maximum falling stress ratio, the less the strength of the second honeycomb structure is improved relative to the third honeycomb structure.

[0168] The relative weight reduction rate is the ratio of the second weight reduction rate of the second honeycomb structure to the second weight reduction rate of the third honeycomb structure. The smaller the relative weight reduction rate, the less the weight reduced by the second honeycomb structure relative to the third honeycomb structure.

[0169] Table 2

[0170]

[0171] As shown in Table 2, it shows the parameter ranges, maximum falling stress ratios, relative weight reduction rates, and manufacturability of different arrangement methods.

[0172] As shown in Table 2, compared with the uniform distribution, arranging the primitive structures in other arrangement methods can reduce the maximum falling stress of the second honeycomb structure during a fall by 1-2 times, that is, the strength of the second honeycomb structure can be improved. The gradient arrangement will greatly reduce the weight reduction rate of the honeycomb structure. The manufacturing difficulty of the hybrid arrangement and the layered arrangement is relatively large, that is, the manufacturability is relatively low.

[0173] In summary, the non-uniform arrangement and the local strengthening arrangement are the arrangement methods with the best comprehensive strength, weight reduction rate, and manufacturability.

[0174] Please refer to Figure 20 , which shows the specific steps of the above S1201. The S1201 may include S1201-1 and S1201-2.

[0175] S1201-1. Perform Monte Carlo sampling on the offset, gradient, chamfer radius, sequence coordinates, layering levels, and primitive quantity ratio within the second parameter range for a second preset number of times to obtain multiple sets of arrangement parameters.

[0176] For the sampling method, refer to the relevant description in S5011, which will not be elaborated here.

[0177] S1201-2. Based on the target size data and multiple sets of arrangement parameters, perform finite element modeling to obtain the second force information corresponding to each set of arrangement parameters.

[0178] In the embodiments of this application, when obtaining the second force information corresponding to the arrangement parameters, the arrangement parameters and the target size data can be input into the Abaqus finite element simulation software to obtain the second force information corresponding to each set of arrangement parameters.

[0179] In the embodiments of this application, the network structure of the above first prediction network is related to the number of multiple sets of size data. Please refer to Figure 21 , when the second electronic device determines the network structure of the first prediction network according to the number of multiple sets of size data, it may include S2101 and S2102.

[0180] S2101. Determine the first number of network layers and the first number of neurons according to the number of multiple sets of size data.

[0181] Among them, the first number of network layers is the number of network layers of the first neural network, and the first number of neurons is the number of neurons included in the first neural network.

[0182] Taking the first neural network including q layers of neural networks, the number of neurons included in the q layers of neural networks are x1, x2, x3... xq respectively, and the number of multiple sets of size data is M as an example, the number of multiple sets of size data M and x1, x2, x3... xq satisfy the formula:

[0183] x1 * x2 + x2 * x3 + x3 * x4 +... + xq - 1 * xq + x1 + x2 + x3 +... + xq = A * M Formula 1;

[0184] Among them, A is a preset constant, and 1 / 15 < A < 1 / 5.

[0185] In this way, the second electronic device can determine the first number of network layers and the first number of neurons according to the above Formula 1.

[0186] S2102. Construct the first neural network based on the first number of network layers, the first number of neurons, and a preset first activation function.

[0187] In an embodiment of the present application, the preset first activation function is, for example, a rectified linear unit (ReLU).

[0188] Please refer to Figure 22 , which is a training schematic diagram of a first prediction model provided by an embodiment of the present application. The training process of the first prediction model can be executed by the above-mentioned second electronic device or by other computing devices, and the present application does not limit this. Here, an example is given where the model training process is executed by the second electronic device. As Figure 22 shown, the training process of the first prediction model includes S2201 to S2205.

[0189] S2201, construct a plurality of first training samples with size data as features and corresponding first force information as labels.

[0190] S2202, iteratively train the first neural network according to the plurality of first training samples;

[0191] S2203, determine whether the first neural network converges.

[0192] If the first neural network does not converge, execute S2204; if the first neural network converges, execute S2205.

[0193] In an alternative embodiment, the first neural network can determine whether the first neural network converges according to the first loss function. For example, if the first loss function is less than a threshold, the first neural network converges; if the first loss function is greater than or equal to the threshold, the first neural network does not converge. The first loss function is, for example, mean square error (MSE).

[0194] S2204, update the network parameters according to the first loss function.

[0195] S2205, stop the iterative training to obtain the first prediction network.

[0196] Similarly, the second prediction network is a converged second neural network. The network structure of the second neural network is related to the number of multiple sets of arrangement parameters. Specifically, when the second electronic device determines the structure of the second neural network, it can determine the number of second network layers and the number of second neurons according to the number of multiple sets of arrangement parameters, and construct the second neural network based on the number of second network layers, the number of second neurons, and a preset second activation function. Among them, the method of determining the network structure of the second prediction network according to the number of multiple sets of arrangement parameters is similar to the method of determining the network structure of the first prediction network according to the number of multiple sets of size data, and will not be elaborated here. In an embodiment of the present application, the second activation function can be ReLU.

[0197] In addition, except for the different training samples used, the methods for training the first neural network and the second neural network are similar. In the embodiments of the present application, when the second electronic device trains the second neural network described above, it may use the multiple sets of arrangement parameters as features and construct multiple second training samples with the corresponding third force information as labels, and then iteratively train the second neural network according to the multiple second training samples. During the iteration process, update the network parameters of the second neural network according to the second loss function. When the convergence condition is met, stop the iterative training to obtain the second prediction network. Among them, the second loss function may be MSE.

[0198] The embodiments of the present application further provide a rotating shaft component, which includes a plurality of blind holes determined according to the method for determining the structure of the rotating shaft component described above. The rotating shaft component may be a shaft cover or a fixed support plate of the rotating shaft assembly. Hereinafter, taking the rotating shaft component as the shaft cover as an example, the structure of the shaft cover will be exemplarily described.

[0199] Please refer to Figure 23 , which is a schematic structural diagram of a shaft cover provided by the embodiments of the present application. As Figure 23 shown, the shaft cover 200 includes a support portion 210 and two connecting portions 220, and the two connecting portions 220 are respectively located on both sides of the support portion 210. Among them, a plurality of support structures 230 are provided on the support portion 210. The support structure 230 is used to contact the middle frame of the foldable electronic device to support the foldable electronic device.

[0200] Among them, the support structure 230 includes a first support column 231 and a second support column 232. The first support column 231 is provided on the shaft cover 200, and the second support column 232 is provided on the first support column 231. The diameter of the second support column 232 is smaller than the diameter of the first support column 231.

[0201] It can be understood that by stacking two cylinders with different diameters, compared with directly setting one cylinder, the contact area between the support structure 230 and the shaft cover 200 can be increased without increasing the weight of the support structure 230, so that the support structure 230 fits more stably with the shaft cover 200, and the stability of the support structure 230 can be improved.

[0202] Combined with Figure 24 , Figure 25 and Figure 26 it can be known that a plurality of first blind holes 240 are provided on each support structure 230, and a plurality of second blind holes 250 are provided on the support portion 210 and the connecting portion 220. The structures of the first blind holes 240 and the second blind holes 250 are different, and the arrangement manners of the plurality of first blind holes 240 and the plurality of second blind holes 250 are different.

[0203] In an alternative embodiment, a plurality of first blind holes 240 form a plurality of structural layers having the same center. The number of first blind holes 240 included in the plurality of structural layers increases sequentially from the center outwards. The angles formed by any two adjacent first blind holes 240 in the same structural layer with the center are equal, and the distances from the plurality of first blind holes 240 in the same structural layer to the center are equal. Moreover, the first blind holes 240 have chamfers. That is to say, the plurality of first blind holes 240 are arranged in a local strengthening layout.

[0204] Compared with arranging the first blind holes 240 in an array form, the above layout is more suitable for the cylindrical support structure 230, and more first blind holes 240 can be arranged in a limited space, thereby further reducing the weight of the shaft cover 200.

[0205] Optionally, the cross-section of the above first blind hole 240 is hexagonal. For example, the side length of the first blind hole 240 is 0.6 mm, the thickness is 0.2 mm, and the chamfer radius is 0.06 mm. Among them, according to Table 2, under the local strengthening layout, the hexagonal primitive structure has relatively high strength, weight reduction rate, and manufacturability.

[0206] In an alternative embodiment, the arrangement of the plurality of second blind holes 250 on the support portion 210 and the connecting portion 220 is also different.

[0207] Among them, the plurality of second blind holes 250 on the support portion 210 are arranged in an array form. Any two adjacent second blind holes 250 in the same row have a first displacement in the first direction, and any two adjacent second blind holes 250 in the same column have a second displacement in the second direction. That is, the plurality of second blind holes 250 are arranged in the above non-uniform arrangement. Among them, the first direction is the direction where the width of the shaft cover 200 is located, and the second direction is the direction where the length of the shaft cover 200 is located. In the embodiment of the present application, the first displacement is 0, and the second displacement is not 0.

[0208] It can be understood that since the support structure 230 is provided on the support portion 210, the positions where the second blind holes 250 can be provided are irregular. Therefore, arranging the second blind holes 250 on the support portion 210 in a non-uniform arrangement can increase the number of blind holes provided on the support portion 210 and further reduce the weight of the shaft cover.

[0209] The plurality of second blind holes 250 on the connecting portion 220 are arranged in an array form, and the distances between any two adjacent second blind holes 250 in the same row are equal, and the distances between any two adjacent second blind holes 250 in the same column are equal. That is, the plurality of second blind holes 250 are arranged in a uniform arrangement as shown in Figure 13 shown.

[0210] Understandably, since the shape of the connecting portion 220 is regular, the second blind holes 250 are arranged on the connecting portion 220 in a uniformly arranged manner, which can increase the number of blind holes arranged on the connecting portion 220 and further reduce the weight of the shaft cover.

[0211] In the embodiment of the present application, considering that the curved quadrilateral structure has excellent strength, weight reduction rate and manufacturability, blind holes with a curved quadrilateral structure are arranged on both the connecting portion 220 and the supporting portion 210, that is, the second blind hole 250 has a curved quadrilateral structure (equivalent to the cross-section of the second blind hole 250 being a curved quadrilateral). For example, the side length of the second blind hole 250 is 1.00 mm, the thickness is 0.2 mm, the curved diameter is 0.25 mm, the offset in the y-axis direction is 0.15 mm, and the offset in the x-axis direction is 0. Of course, in other embodiments, the structures of the blind holes arranged on the connecting portion 220 and the supporting portion 210 may also be different, and no specific limitation is made here.

[0212] In an alternative embodiment, the cross-sections of the first blind holes 240 and the second blind holes 250 may also be other shapes, such as any one of a triangle, a quadrilateral, a pentagon, a hexagon, a curved triangle, a curved quadrilateral, a curved pentagon, and a curved hexagon.

[0213] In an alternative embodiment, the shapes of the multiple first blind holes 240 and the multiple second blind holes 250 may be the same, and the arrangement manners may also be the same.

[0214] For example, the multiple blind holes are arranged in an array form, and the distances between any two adjacent blind holes in the same row are equal, and the distances between any two adjacent blind holes in the same column are equal. That is, the multiple blind holes are arranged in a uniformly arranged manner as shown in Figure 13 shown.

[0215] For another example, the multiple blind holes are arranged in an array form, the distances between two adjacent blind holes in the same row increase in a first gradient in the second direction, and / or the distances between two adjacent blind holes in the same column increase in a second gradient in the first direction. That is, the multiple blind holes may be arranged in a gradient arrangement manner as shown in Figure 16 shown.

[0216] In an alternative embodiment, the multiple blind holes include multiple blind holes with different structures, and are arranged in a uniformly arranged manner as shown in Figure 13 shown.

[0217] In an alternative embodiment, the thickness of the blind hole is 0.2 mm, and the curved diameter of the blind hole is L / 4, where L is the side length of the blind hole. According to the previous analysis, when the thickness is 0.2 mm and the curved diameter is L / 4, the shaft cover 200 has strong strength, a high weight reduction rate and manufacturability.

[0218] In the embodiment of the present application, blind holes are not provided at both ends of the shaft cover in the second direction, and the second direction is the direction where the long side of the rotating shaft component is located. Considering that when the device falls, the two ends of its long side are more likely to touch the ground first and be damaged, therefore, not providing blind holes at both ends of the shaft cover in the second direction can improve the strength of the shaft cover at both ends and enhance its anti-drop performance.

[0219] When performing a drop strength test on the shaft cover before and after setting the blind holes, the following can be obtained Figure 27 The force diagrams as shown. Among them, the drop strength test means that the shaft cover before and after setting the blind holes is weighted with 220 g and dropped at 5 m / s (equivalent to free fall from 1.3 m to 1.5 m). It should be noted that the weight of 220 g is used to simulate the drop of the whole machine. Among them, shaft cover 1 refers to the shaft cover without blind holes, Figure 27 In (a) shows the force Figure 1 and the force Figure 2 when shaft cover 1 drops, and the force Figure 1 and the force Figure 2 are the force diagrams of shaft cover 1 from different perspectives. Among them, the force Figure 2 is specifically the force diagram of shaft cover 1 from perspective 1; shaft cover 2 is the shaft cover with blind holes, that is, the shaft cover provided in the embodiment of the present application, Figure 27 In (b) shows the force Figure 3 and the force Figure 4 when shaft cover 2 drops, and the force Figure 3 and the force Figure 4 are the force diagrams of shaft cover 2 from different perspectives. The force Figure 4 is the force diagram of shaft cover 2 from perspective 2.

[0220] According to Figure 27 it can be known that the internal energy of shaft cover 2 is dispersed faster and the force is more uniform, which means that it has a higher energy absorption efficiency and can better slow down the force at the drop point; in addition, the maximum force of shaft cover 2 is only 0.6 times that of shaft cover 1, with higher strength and better anti-drop performance.

[0221] In addition, under the condition that the boundary and materials are the same, the mass of shaft cover 2 is reduced by about 30% compared with shaft cover 1. Considering that the mass of the shaft cover is 3 - 4 g, only the shaft cover part loses 1 g in weight.

[0222] That is to say, the shaft cover provided in the embodiment of the present application has a lighter weight and better anti-drop performance.

[0223] The embodiment of the present application also provides a chip system, as Figure 28As shown, the chip system 2800 includes at least one processor 2801 and at least one interface circuit 2802. The processor 2801 and the interface circuit 2802 can be interconnected by a line. For example, the interface circuit 2802 can be used to receive signals from other devices (such as the memory of an electronic device). For another example, the interface circuit 2802 can be used to send signals to other devices (such as the processor 2801). Exemplarily, the interface circuit 2802 can read the instructions stored in the memory and send the instructions to the processor 2801. When the instructions are executed by the processor 2801, the electronic device or the server can execute each step in the above embodiments. Of course, the chip system can also include other discrete devices, and the embodiments of the present application do not make specific limitations on this.

[0224] Embodiments of the present application also provide an electronic device. Taking the electronic device as a mobile phone as an example, the hardware structure of the electronic device will be described exemplarily. As Figure 29 shown, the mobile phone 300 may include: a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, a headphone interface 170D, a sensor module 180, a key 190, a motor 191, an indicator 192, a camera 193, a display screen 194, and a subscriber identification module (SIM) card interface 195, etc.

[0225] Among them, the above-mentioned sensor module 180 may include sensors such as a pressure sensor, a gyroscope sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a distance sensor, a proximity light sensor, a fingerprint sensor, a temperature sensor, a touch sensor, an ambient light sensor, and a bone conduction sensor.

[0226] It can be understood that the structure schematically shown in this embodiment does not constitute a specific limitation on the mobile phone 300. In other embodiments, the mobile phone 300 may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or have different component arrangements. The components shown in the figure can be implemented in hardware, software, or a combination of software and hardware.

[0227] The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, a memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Among them, different processing units may be independent devices or integrated in one or more processors.

[0228] The controller may be the nerve center and command center of the mobile phone 300. The controller may generate operation control signals according to the instruction operation code and timing signal to complete the control of fetching and executing instructions.

[0229] A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. This memory may save the instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to use the instruction or data again, it can directly call it from the memory. This avoids repeated accesses, reduces the waiting time of the processor 110, and thus improves the efficiency of the system.

[0230] In some embodiments, the processor 110 may include one or more interfaces. The interfaces may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (PCM) interface, a universal asynchronous receiver / transmitter (UART) interface, a mobile industry processor interface (MIPI), a general-purpose input / output (GPIO) interface, a subscriber identity module (SIM) interface, and / or a universal serial bus (USB) interface, etc.

[0231] It can be understood that the interface connection relationships among the modules illustrated in this embodiment are only illustrative and do not constitute a structural limitation on the mobile phone 300. In other embodiments, the mobile phone 300 may also adopt different interface connection methods or a combination of multiple interface connection methods in the above embodiments.

[0232] The charging management module 140 is used to receive a charging input from a charger. Among them, the charger can be a wireless charger or a wired charger. While charging the battery 142, the charging management module 140 can also supply power to the terminal device through the power management module 141.

[0233] The power management module 141 is used to connect the battery 142, the charging management module 140, and the processor 110. The power management module 141 receives inputs from the battery 142 and / or the charging management module 140 and supplies power to the processor 110, the internal memory 121, the external memory, the display screen 194, the camera 193, the wireless communication module 160, etc. In some embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

[0234] The wireless communication function of the mobile phone 300 can be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modulation and demodulation processor, and the baseband processor, etc. In some embodiments, the antenna 1 of the mobile phone 300 is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the mobile phone 300 can communicate with the network and other devices through wireless communication technologies.

[0235] The antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in the mobile phone 300 can be used to cover a single or multiple communication frequency bands. Different antennas can also be multiplexed to improve the utilization rate of the antennas. For example, the antenna 1 can be multiplexed as a diversity antenna for a wireless local area network. In other embodiments, the antenna can be used in combination with a tuning switch.

[0236] The mobile communication module 150 can provide wireless communication solutions such as 2G / 3G / 4G / 5G applied to the mobile phone 300. The mobile communication module 150 may include at least one filter, switch, power amplifier, low-noise amplifier (LNA), etc. The mobile communication module 150 can receive electromagnetic waves from the antenna 1, filter, amplify, etc. the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation.

[0237] The mobile communication module 150 can also amplify the signal modulated by the modulation and demodulation processor, and convert it into electromagnetic waves through the antenna 1 for radiation. In some embodiments, at least some functional modules of the mobile communication module 150 can be provided in the processor 110. In some embodiments, at least some functional modules of the mobile communication module 150 and at least some modules of the processor 110 can be provided in the same device.

[0238] The wireless communication module 160 can provide solutions for wireless communications applied to the mobile phone 300, including WLAN (such as wireless fidelity (Wi-Fi) network), Bluetooth (BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), etc.

[0239] The wireless communication module 160 can be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves through the antenna 2, performs frequency modulation and filtering on the electromagnetic wave signals, and sends the processed signals to the processor 110. The wireless communication module 160 can also receive the signals to be sent from the processor 110, perform frequency modulation and amplification on them, and convert them into electromagnetic waves through the antenna 2 for radiation.

[0240] The mobile phone 300 realizes the display function through the GPU, the display screen 194, and the application processor, etc. The GPU is a microprocessor for image processing, connected to the display screen 194 and the application processor. The GPU is used to execute mathematical and geometric calculations for graphics rendering. The processor 110 may include one or more GPUs, which execute program instructions to generate or change the display information.

[0241] The display screen 194 is used to display images, videos, etc. The display screen 194 includes a display panel.

[0242] The mobile phone 300 can realize the shooting function through the ISP, the camera 193, the video codec, the GPU, the display screen 194, and the application processor, etc. The ISP is used to process the data fed back by the camera 193. The camera 193 is used to capture static images or videos. In some embodiments, the mobile phone 300 may include 1 or N cameras 193, where N is a positive integer greater than 1.

[0243] The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the mobile phone 300. The external memory card communicates with the processor 110 through the external memory interface 120 to implement the data storage function. For example, files such as music and videos are saved in the external memory card.

[0244] The internal memory 121 can be used to store computer-executable program codes, and the executable program codes include instructions. The processor 110 executes various functional applications and data processing of the mobile phone 300 by running the instructions stored in the internal memory 121. For example, in the embodiment of the present application, the processor 110 can execute the instructions stored in the internal memory 121. The internal memory 121 can include a program storage area and a data storage area.

[0245] Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.). The data storage area can store data created during the use of the mobile phone 300 (such as audio data, phone book, etc.). In addition, the internal memory 121 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, a universal flash storage (UFS), etc.

[0246] The mobile phone 300 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor, etc. For example, music playback, recording, etc.

[0247] The keys 190 include a power-on key, a volume key, etc. The keys 190 can be mechanical keys or touch keys. The motor 191 can generate a vibration prompt. The motor 191 can be used for incoming call vibration prompts and can also be used for touch vibration feedback. The indicator 192 can be an indicator light, which can be used to indicate the charging state, the change in battery power, and can also be used to indicate messages, missed calls, notifications, etc. The SIM card interface 195 is used to connect the SIM card. The SIM card can be inserted into or removed from the SIM card interface 195 to achieve contact and separation from the mobile phone 300. The mobile phone 300 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1. The SIM card interface 195 can support Nano SIM cards, Micro SIM cards, SIM cards, etc.

[0248] It can be understood that Figure 29The structure shown does not constitute a specific limitation on the mobile phone. In some other embodiments, the mobile phone may include more or fewer components than those shown, or combine certain components, or split certain components, or have different component arrangements. The components shown can be implemented in hardware, software, or a combination of software and hardware.

[0249] This embodiment also provides a computer-readable storage medium storing computer instructions, which, when running on an electronic device, cause the electronic device to execute each function or step in the above method embodiment.

[0250] This embodiment also provides a computer program product, which, when running on a computer, causes the computer to execute each function or step in the above method embodiment.

[0251] In addition, an embodiment of the present application also provides a device, which may specifically be a chip, a component, or a module. The device may include a processor and a memory connected thereto; wherein, the memory is used to store computer execution instructions, and when the device runs, the processor may execute the computer execution instructions stored in the memory so that the chip executes each function or step that the mobile phone executes in the above method embodiment.

[0252] Among them, the electronic device, computer-readable storage medium, computer program product, or chip provided in this embodiment are all used to execute the corresponding method provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method provided above, and will not be elaborated here.

[0253] Through the description of the above embodiments, those skilled in the art can clearly understand that for the convenience and brevity of description, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

[0254] In several embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the module or unit is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be in an electrical, mechanical, or other form.

[0255] The unit described as a separate component may or may not be physically separated. The components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed to multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0256] In addition, each functional unit in various embodiments of the present application may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0257] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the methods in various embodiments of the present application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs and other various media that can store program codes.

[0258] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them. Although the present application has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present application can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A method for determining the structure of a rotating shaft component, characterized in that, A method for determining the structure of a blind hole on a rotating shaft component, the method comprising: Training a first neural network based on multiple sets of dimension data of an elementary structure and first force information corresponding to each set of dimension data to obtain a first prediction network; wherein, the first force information is used to indicate the force condition when a first honeycomb structure drops, and the first honeycomb structure is obtained by setting any one of the elementary structures on a solid structure; Predicting, according to the first prediction network, the first force information and a first weight reduction rate corresponding to the first dimension data; wherein, the first weight reduction rate is the proportion of the weight reduced by the first honeycomb structure relative to the solid structure, and the first dimension data is any set of dimension data within a first parameter range; Determining target dimension data according to the first dimension data and the corresponding first force information and first weight reduction rate, and the target dimension data is the dimension data adopted by the blind hole.

2. The method according to claim 1, characterized in that, The dimension data includes the number of sides, side length, thickness, and curved surface diameter of the elementary structure. Before training the first neural network based on multiple sets of dimension data of the elementary structure and first force information corresponding to each set of dimension data to obtain a first prediction network, the method further comprises: Performing Monte Carlo sampling on the number of sides, side length, thickness, and curved surface diameter for a first preset number of times within the first parameter range to obtain the multiple sets of dimension data; Performing finite element modeling on the multiple sets of dimension data to obtain first force information corresponding to each set of dimension data.

3. The method according to claim 1, characterized in that, Before training the first neural network based on multiple sets of dimension data of the elementary structure and first force information corresponding to each set of dimension data to obtain a first prediction network, the method further comprises: Determining a first number of network layers and a first number of neurons according to the number of the multiple sets of dimension data; Constructing the first neural network based on the first number of network layers, the first number of neurons, and a preset first activation function.

4. The method according to any one of claims 1 to 3, characterized in that, The training of the first neural network based on multiple sets of dimension data of the elementary structure and first force information corresponding to each set of dimension data to obtain a first prediction network includes: Constructing multiple first training samples with the multiple sets of dimension data as features and the corresponding first force information as labels; Performing iterative training on the first neural network according to the multiple first training samples; Updating network parameters of the first neural network according to a first loss function during the iteration process; When a convergence condition is met, stopping the iterative training to obtain the first prediction network.

5. The method according to any one of claims 1 to 3, characterized in that The method further comprises: Training a second neural network based on multiple sets of arrangement parameters of a target elementary structure and second force information corresponding to each set of arrangement parameters to obtain a second prediction network; wherein, the second force information is used to indicate the force condition when a second honeycomb structure drops, the second honeycomb structure is obtained by arranging the target elementary structure on the solid structure according to any one of the arrangement parameters, and the target elementary structure is the elementary structure corresponding to the target dimension data; Predict the second force information and the second weight reduction rate corresponding to the first arrangement parameter according to the second prediction network; wherein, the second weight reduction rate is the proportion of the weight reduced by the second honeycomb structure relative to the solid structure, and the first arrangement parameter is any set of arrangement parameters within the second parameter range; Determine the target arrangement parameter according to the first arrangement parameter and the corresponding second force information and second weight reduction rate, and the target arrangement parameter is used when setting the blind hole on the rotating shaft component.

6. The method according to claim 5, characterized in that The arrangement parameter includes an offset, a gradient, a chamfer radius, a sequence coordinate, a layering level, and a primitive quantity ratio. Before training the second neural network according to multiple sets of arrangement parameters of the target primitive structure and the second force information corresponding to each set of arrangement parameters to obtain the second prediction network, the method further includes: Perform Monte Carlo sampling on the offset, gradient, chamfer radius, sequence coordinate, layering level, and primitive quantity ratio within the second parameter range for a second preset number of times to obtain the multiple sets of arrangement parameters; Perform finite element modeling based on the target size data and the multiple sets of arrangement parameters to obtain the second force information corresponding to each set of arrangement parameters.

7. The method according to claim 5, characterized in that Before training the second neural network according to multiple sets of arrangement parameters of the target primitive structure and the second force information corresponding to each set of arrangement parameters to obtain the second prediction network, the method further includes: Determine the number of second network layers and the number of second neurons according to the number of the multiple sets of arrangement parameters; Construct the second neural network based on the number of second network layers, the number of second neurons, and a preset second activation function.

8. The method according to claim 6 or 7, characterized in that, The training of the second neural network according to multiple sets of arrangement parameters of the target primitive structure and the second force information corresponding to each set of arrangement parameters to obtain the second prediction network includes: Construct multiple second training samples with the multiple sets of arrangement parameters as features and the corresponding second force information as labels; Perform iterative training on the second neural network according to the multiple second training samples; Update the network parameters of the second neural network according to the second loss function during the iteration process; When the convergence condition is met, stop the iterative training to obtain the second prediction network.

9. The method according to any one of claims 1 to 3, characterized in that The determination of the target size data according to the first size data and the corresponding first force information and first weight reduction rate includes: Determine the target size data according to the third force information, the first size data, and the corresponding first force information and first weight reduction rate, and the third force information is used to indicate the force condition when the solid structure falls.

10. The method according to any one of claims 1-3 or 7-8, characterized in that The rotating shaft component is a shaft cover or a fixed support plate of the rotating shaft assembly.

11. A rotating shaft component, characterized in that, A plurality of blind holes determined by any one of the methods for determining the structure of the rotating shaft component according to claims 1-10 are provided on the rotating shaft component.

12. The shaft component according to claim 11, characterized in that, The rotating shaft component includes a supporting portion and two connecting portions. The two connecting portions are located on both sides of the supporting portion. A plurality of supporting structures are provided on the supporting portion. A plurality of first blind holes are provided on each of the supporting structures. A plurality of second blind holes are provided on the supporting portion and the connecting portions. The structures of the second blind holes and the first blind holes are different, and the arrangement manners of the plurality of second blind holes and the plurality of first blind holes are different.

13. The shaft component according to claim 12, characterized in that, The plurality of first blind holes form a plurality of structural layers having the same center. The number of first blind holes included in the plurality of structural layers increases sequentially from the center outwards. The angles formed by any two adjacent first blind holes in the same structural layer and the center are equal, and the distances from the plurality of first blind holes in the same structural layer to the center are equal.

14. The shaft component according to claim 12, characterized in that, The arrangement manners of the plurality of second blind holes on the supporting portion and the plurality of second blind holes on the connecting portion are different.

15. The shaft component according to claim 14, characterized in that, On the supporting portion, the plurality of second blind holes are arranged in an array form. Any two adjacent second blind holes in the same row have a first displacement in a first direction, and any two adjacent second blind holes in the same column have a second displacement in a second direction.

16. The shaft member according to claim 14, wherein, On the connecting portion, the plurality of second blind holes are arranged in an array form, and the distances between any two adjacent second blind holes in the same row are equal, and the distances between any two adjacent second blind holes in the same column are equal.

17. A rotating shaft assembly, characterized in that, Comprising the rotating shaft component according to any one of claims 11-16.

18. An electronic device, characterized in that, The electronic device includes the rotating shaft assembly according to claim 17.

19. An electronic device, characterized in that, The electronic device includes: a memory and one or more processors; the memory and the processor are coupled; the memory is used to store computer program code, and the computer program code includes computer instructions. When the computer instructions are executed by the electronic device, the electronic device executes the method according to any one of claims 1-10.

20. A computer-readable storage medium, characterized in that, Computer instructions are stored in the computer-readable storage medium. When the computer instructions run in the electronic device, the electronic device executes the method according to any one of claims 1-10.

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