A parameter optimization method and device of a gear, an electronic device, and a storage medium

Abstract

This application provides a method, apparatus, electronic device, and storage medium for optimizing gear parameters. The method includes: acquiring gear parameters; performing multi-objective optimization on the parameters to obtain a parameter set; performing microscopic shaping analysis on the parameter set to obtain a target parameter set; and selecting optimized parameters from the target parameter set. Implementing this application embodiment can improve the accuracy of parameter optimization, reduce gear squealing, shorten gear design time, and eliminate reliance on designers.

Description

Technical Field

[0001] This application relates to the field of gear design technology, and more specifically, to a method, apparatus, electronic device, and computer-readable storage medium for optimizing gear parameters. Background Technology

[0002] The transmission error fluctuations caused by gear meshing will produce gear squealing. Therefore, it is crucial to optimize the gear parameters to control gear squealing. Existing technology mainly relies on engineers' experience to design gear parameters, verify the reliability of the parameters, and then conduct micro-modification analysis.

[0003] However, this method heavily relies on the engineer's design experience. If the engineer's design experience is insufficient or human error occurs, it is easy to cause the parameters to be not optimized, resulting in gear squealing. Furthermore, failure to optimize all gear parameters simultaneously or failure to consider multiple load spectrums during the design phase will also lead to gear squealing. Therefore, this method has a long design process, takes a long time, and requires a high level of engineer experience. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus, electronic device, and computer-readable storage medium for optimizing gear parameters, which can improve the accuracy of parameter optimization, reduce gear squealing, shorten gear design time, and is independent of the designer.

[0005] In a first aspect, embodiments of this application provide a method for optimizing gear parameters, the method comprising:

[0006] Obtain the parameters of the gear;

[0007] The parameters are then subjected to multi-objective optimization to obtain a parameter set;

[0008] Microscopic shaping analysis is performed on the parameter set to obtain the target parameter set;

[0009] Select optimization parameters from the set of target parameters.

[0010] In the above implementation process, the gear parameters are first optimized by multiple objectives, then micro-modification analysis is performed, and optimization parameters are selected from the set of target parameters after micro-modification analysis. This can improve the accuracy of parameter optimization, reduce gear squealing, shorten gear design time, and eliminate reliance on designers.

[0011] Furthermore, the step of performing multi-objective optimization on the parameters to obtain the parameter set includes:

[0012] Obtain the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio;

[0013] The parameters are optimized using a multi-objective approach based on the equivalent tooth surface contact safety factor, the equivalent tooth root bending safety factor, and the overlap ratio to obtain a parameter set.

[0014] In the above implementation process, the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio of the gear are introduced in the multi-objective optimization process, which makes the designed gear more accurate.

[0015] Furthermore, the step of performing microscopic shaping analysis on the parameter set to obtain the target parameter set includes:

[0016] Obtain overlap data;

[0017] Based on the overlap data, parameters that can be used for micro-shaping analysis are selected from the parameter set to obtain the parameter set to be analyzed for micro-shaping.

[0018] Microscopic shaping analysis is performed on the set of parameters to be microscopically shaped to obtain the target parameter set.

[0019] In the above implementation process, parameters that can be subjected to micro-shaping analysis are selected from the parameter set based on the overlap data, while parameters that cannot be subjected to micro-shaping analysis are excluded, reducing the workload of micro-shaping analysis and saving time.

[0020] Further, the step of performing microscopic shaping analysis on the set of parameters to be microscopically shaped to obtain the target parameter set includes:

[0021] Calculate the peak-to-peak value of the propagation error of the parameters in the set of parameters to be analyzed for microscopic shaping;

[0022] The target parameter set is obtained by selecting parameters whose peak-to-peak value of the transmission error meets a preset threshold.

[0023] In the above implementation process, parameters that meet the preset threshold are selected based on the peak-to-peak value of the propagation error to obtain the target parameter set, which can reduce the error and make the parameters in the target parameter set more accurate.

[0024] Further, the step of selecting optimization parameters from the target parameter set includes:

[0025] Obtain optimization standard information;

[0026] Optimization parameters are selected from the target parameter set based on the optimization criteria information.

[0027] In the above implementation process, selecting optimization parameters based on optimization standard information can further filter out parameters with insufficient optimization performance, saving computation time.

[0028] Secondly, embodiments of this application also provide a gear parameter optimization device, the device comprising:

[0029] The acquisition module is used to acquire the parameters of the gear;

[0030] The optimization module is used to perform multi-objective optimization on the parameters to obtain a parameter set;

[0031] The micro-shaping analysis module is used to perform micro-shaping analysis on the parameter set to obtain the target parameter set;

[0032] The selection module is used to select optimization parameters from the target parameter set.

[0033] In the above implementation process, the gear parameters are first optimized by multiple objectives, then micro-modification analysis is performed, and optimization parameters are selected from the set of target parameters after micro-modification analysis. This can improve the accuracy of parameter optimization, reduce gear squealing, shorten gear design time, and eliminate reliance on designers.

[0034] Furthermore, the optimization module is also used for:

[0035] Obtain the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio;

[0036] The parameters are optimized using a multi-objective approach based on the equivalent tooth surface contact safety factor, the equivalent tooth root bending safety factor, and the overlap ratio to obtain a parameter set.

[0037] In the above implementation process, the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio of the gear are introduced in the multi-objective optimization process, which makes the designed gear more accurate.

[0038] Furthermore, the micro-shaping analysis module is also used for:

[0039] Obtain overlap data;

[0040] Based on the overlap data, parameters that can be used for micro-shaping analysis are selected from the parameter set to obtain the parameter set to be analyzed for micro-shaping.

[0041] Microscopic shaping analysis is performed on the set of parameters to be microscopically shaped to obtain the target parameter set.

[0042] In the above implementation process, parameters that can be subjected to micro-shaping analysis are selected from the parameter set based on the overlap data, while parameters that cannot be subjected to micro-shaping analysis are excluded, reducing the workload of micro-shaping analysis and saving time.

[0043] Thirdly, an electronic device provided in this application includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method as described in any of the first aspects.

[0044] Fourthly, embodiments of this application provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described in any of the first aspects.

[0045] Fifthly, embodiments of this application provide a computer program product that, when run on a computer, causes the computer to perform the method described in any of the first aspects.

[0046] Other features and advantages of this disclosure will be set forth in the following description, or some features and advantages may be inferred from the description or determined without doubt, or may be learned by practicing the techniques described above.

[0047] It can be implemented in accordance with the contents of the specification. The preferred embodiments of this application are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0048] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 A schematic flowchart illustrating the gear parameter optimization method provided in this application embodiment;

[0050] Figure 2 A schematic diagram of the structural composition of the gear parameter optimization device provided in the embodiments of this application;

[0051] Figure 3 This is a schematic diagram of the structural composition of the electronic device provided in the embodiments of this application. Detailed Implementation

[0052] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0053] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0054] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.

[0055] Example 1

[0056] Figure 1 This is a flowchart illustrating the gear parameter optimization method provided in an embodiment of this application, as shown below. Figure 1 As shown, the method includes:

[0057] S1, obtain the gear parameters;

[0058] S2, perform multi-objective optimization on the parameters to obtain the parameter set;

[0059] S3, perform micro-shaping analysis on the parameter set to obtain the target parameter set;

[0060] S4, select the optimization parameters from the target parameter set.

[0061] In the above implementation process, the gear parameters are first optimized by multiple objectives, then micro-modification analysis is performed, and optimization parameters are selected from the set of target parameters after micro-modification analysis. This can improve the accuracy of parameter optimization, reduce gear squealing, shorten gear design time, and eliminate reliance on designers.

[0062] Gear parameters include the number of teeth of the driving gear, module, pressure angle, tooth tip coefficient of the driving gear, tooth tip coefficient of the driven gear, tooth displacement coefficient of the driven gear, number of teeth of the driven gear, helix angle, tooth addendum coefficient of the driving gear, tooth addendum coefficient of the driven gear, tooth displacement coefficient of the driving gear, and tooth width.

[0063] Furthermore, S2 includes:

[0064] Obtain the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio;

[0065] The parameters are optimized using a multi-objective approach based on the equivalent tooth surface contact safety factor, the equivalent tooth root bending safety factor, and the overlap ratio, resulting in a parameter set.

[0066] In the above implementation process, the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio of the gear are introduced in the multi-objective optimization process, which makes the designed gear more accurate.

[0067] Alternatively, multi-objective optimization of the gears can be performed using the NSGA-II genetic algorithm.

[0068] To make gear parameter optimization more accurate, an equivalent tooth surface contact safety factor and an equivalent tooth root bending safety factor and overlap ratio are introduced. The equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and overlap ratio can be obtained in the following ways.

[0069] Under multiple load conditions, the forward drive and reverse drag conditions are statistically analyzed separately, and the gear root bending stress and tooth surface contact stress are calculated for each condition. Based on the bending stress SN curve and contact stress SN curve of the material, the allowable number of alternations N of the gear root bending stress under each condition is calculated. Fi drive With N Fi coast Allowable number of alternating stress cycles N on tooth surface Hi drive With N Hi x coast .

[0070] The tooth root damage under individual operating conditions of forward drive and reverse drag are as follows:

[0071]

[0072]

[0073] Where, n i drive n represents the actual stress alternation number in the positive drive. i coast This represents the actual number of stress alternations during the reverse drag.

[0074] The damage to the tooth surface is as follows:

[0075]

[0076]

[0077] The total damage under forward drive and reverse tow conditions is as follows:

[0078]

[0079]

[0080]

[0081]

[0082] Compare the total damage of forward drive and reverse drag; the maximum value is the total damage, i.e.:

[0083] D F =max(D F drive D F coast );

[0084] D H =max(D H drive D H coast );

[0085] Where i is the load condition number, N1 is the total number of forward drive conditions, and N2 is the total number of reverse towing conditions.

[0086] After calculating the total damage, if the total damage is caused by forward drive, assuming that all the total damage caused by the load spectrum is generated by the maximum forward drive torque condition; if the total damage is caused by reverse drag, assuming that all the total damage caused by the load spectrum is generated by the maximum reverse drag torque condition, then the equivalent actual stress alternation times for forward drive and reverse drag are respectively:

[0087]

[0088]

[0089] The equivalent tooth root bending stress σ required to cause damage was calculated using the SN curve. FG eq Contact stress σ with tooth root HG eq Where max is the maximum torque operating condition number.

[0090] Then the equivalent tooth root bending safety factor and overlap ratio for forward drive, the equivalent tooth root bending safety factor and overlap ratio for reverse drag, the equivalent tooth surface contact safety factor for forward drive, and the equivalent tooth surface contact safety factor for reverse drag are obtained as follows:

[0091]

[0092]

[0093]

[0094]

[0095] The end face overlap and axial overlap are as follows:

[0096]

[0097]

[0098] Furthermore, S3 includes:

[0099] Obtain overlap data;

[0100] Based on the overlap data, parameters that can be used for micro-shaping analysis are selected from the parameter set to obtain the parameter set to be analyzed for micro-shaping.

[0101] Microscopic shaping analysis is performed on the set of parameters to be analyzed to obtain the target parameter set.

[0102] In the above implementation process, parameters that can be subjected to micro-shaping analysis are selected from the parameter set based on the overlap data, while parameters that cannot be subjected to micro-shaping analysis are excluded, reducing the workload of micro-shaping analysis and saving time.

[0103] Optionally, the overlap data includes end face overlap and axial overlap. The overlap data of the gear parameters optimized by the embodiments of this application can also be adjusted and optimized.

[0104] The table below shows the overlap ratio data, the equivalent tooth root bending safety factor and overlap ratio of the forward drive and the equivalent tooth root bending safety factor and overlap ratio of the reverse drag, corresponding to the parameters optimized by the embodiments of this application.

[0105] Before optimization After optimization Before optimization After optimization End face overlap 1.6197 1.8397 <![CDATA[S F1 ]]> 1.4639 1.3868 Axial overlap 2.8726 3.1840 <![CDATA[S F2 ]]> 1.3139 1.2109

[0106] Furthermore, the steps for performing micro-shaping analysis on the set of parameters to be analyzed to obtain the target parameter set include:

[0107] Calculate the peak-to-peak value of the propagation error of the parameters in the set of parameters to be analyzed for microscopic shaping;

[0108] By selecting parameters whose peak-to-peak transmission error meets a preset threshold, the target parameter set is obtained.

[0109] In the above implementation process, parameters that meet the preset threshold are selected based on the peak-to-peak value of the propagation error to obtain the target parameter set, which can reduce the error and make the parameters in the target parameter set more accurate.

[0110] Optionally, if the peak-to-peak value of the propagation error does not meet the preset threshold, the optimization parameters need to be adjusted, including further optimization of constraints, variable ranges, etc.

[0111] Furthermore, S4 includes:

[0112] Obtain optimization standard information;

[0113] Optimization parameters are selected from the target parameter set based on the optimization criteria information.

[0114] In the above implementation process, selecting optimization parameters based on optimization standard information can further filter out parameters with insufficient optimization performance, saving computation time.

[0115] Gear multi-objective optimization can effectively reduce workload. The optimal solution for gear parameters is automatically selected by the algorithm, which can reduce the reliance on engineering experience.

[0116] Example 2

[0117] In order to execute the method corresponding to Embodiment 1 above and achieve the corresponding functions and technical effects, a gear parameter optimization device is provided below, such as... Figure 2 As shown, the device includes:

[0118] Module 1 is used to acquire the parameters of the gear;

[0119] Optimization module 2 is used to perform multi-objective optimization on the parameters to obtain a parameter set;

[0120] Microscopic shaping analysis module 3 is used to perform microscopic shaping analysis on the parameter set to obtain the target parameter set;

[0121] Select module 4, which is used to select optimization parameters from the target parameter set.

[0122] In the above implementation process, the gear parameters are first optimized by multiple objectives, then micro-modification analysis is performed, and optimization parameters are selected from the set of target parameters after micro-modification analysis. This can improve the accuracy of parameter optimization, reduce gear squealing, shorten gear design time, and eliminate reliance on designers.

[0123] Furthermore, optimization module 2 is also used for:

[0124] Obtain the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio;

[0125] The parameters are optimized using a multi-objective approach based on the equivalent tooth surface contact safety factor, the equivalent tooth root bending safety factor, and the overlap ratio, resulting in a parameter set.

[0126] Furthermore, the micro-shaping analysis module 3 is also used for:

[0127] Obtain overlap data;

[0128] Based on the overlap data, parameters that can be used for micro-shaping analysis are selected from the parameter set to obtain the parameter set to be analyzed for micro-shaping.

[0129] Microscopic shaping analysis is performed on the set of parameters to be analyzed to obtain the target parameter set.

[0130] Furthermore, the micro-shaping analysis module 3 is also used for:

[0131] Calculate the peak-to-peak value of the propagation error of the parameters in the set of parameters to be analyzed for microscopic shaping;

[0132] By selecting parameters whose peak-to-peak transmission error meets a preset threshold, the target parameter set is obtained.

[0133] Furthermore, module 4 is also used for:

[0134] Obtain optimization standard information;

[0135] Optimization parameters are selected from the target parameter set based on the optimization criteria information.

[0136] The gear parameter optimization device described above can implement the method of Embodiment 1. The options in Embodiment 1 are also applicable to this embodiment, and will not be described in detail here.

[0137] The remaining contents of this embodiment can be referred to the contents of Embodiment 1 above, and will not be repeated in this embodiment.

[0138] Example 3

[0139] This application provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor runs the computer program to cause the electronic device to perform the gear parameter optimization method of Embodiment 1.

[0140] Alternatively, the aforementioned electronic device may be a server.

[0141] Please see Figure 3 , Figure 3 This is a schematic diagram illustrating the structural composition of an electronic device provided in an embodiment of this application. The electronic device may include a processor 31, a communication interface 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to enable direct communication between these components. In this embodiment, the communication interface 32 is used for signaling or data communication with other node devices. The processor 31 may be an integrated circuit chip with signal processing capabilities.

[0142] The processor 31 described above can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor, or the processor 31 can be any conventional processor.

[0143] The memory 33 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc. The memory 33 stores computer-readable instructions. When these computer-readable instructions are executed by the processor 31, the device can perform the aforementioned operations. Figure 1 The various steps involved in the method implementation examples.

[0144] Optionally, the electronic device may also include a storage controller and an input / output unit. The memory 33, storage controller, processor 31, peripheral interface, and input / output unit are electrically connected directly or indirectly to each other to achieve data transmission or interaction. For example, these components can be electrically connected to each other via one or more communication buses 34. The processor 31 is used to execute executable modules stored in the memory 33, such as software function modules or computer programs included in the device.

[0145] Input / output units are used to enable users to create tasks and set optional start periods or preset execution times for those tasks, facilitating user-server interaction. Input / output units can be, but are not limited to, a mouse and keyboard.

[0146] Understandable. Figure 3 The structure shown is for illustrative purposes only; the electronic device may also include components that are more advanced than those shown. Figure 3 The more or fewer components shown, or having the same Figure 3 The different configurations shown. Figure 3 The components shown can be implemented using hardware, software, or a combination thereof.

[0147] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the gear parameter optimization method of Embodiment 1.

[0148] This application also provides a computer program product that, when run on a computer, causes the computer to perform the method described in the method embodiment.

[0149] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using dedicated hardware-based apparatus that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0150] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0151] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, external hard drives, ROM, RAM, magnetic disks, or optical disks.

[0152] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0153] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0154] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for optimizing gear parameters, characterized in that, The method includes: Obtain the parameters of the gear; The parameters are then subjected to multi-objective optimization to obtain a parameter set; Microscopic shaping analysis is performed on the parameter set to obtain the target parameter set; Select the optimization parameters from the set of target parameters; The step of performing multi-objective optimization on the parameters to obtain a parameter set includes: Obtain the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio; The parameters are optimized using a multi-objective approach based on the equivalent tooth surface contact safety factor, the equivalent tooth root bending safety factor, and the overlap ratio to obtain a parameter set. The step of performing microscopic shaping analysis on the parameter set to obtain the target parameter set includes: Obtain overlap data; Based on the overlap data, parameters for micro-shaping analysis are selected from the parameter set to obtain the parameter set for micro-shaping analysis. Microscopic shaping analysis is performed on the set of parameters to be microscopically shaped to obtain the target parameter set; The step of performing micro-shaping analysis on the set of parameters to be micro-shaping analyzed to obtain the target parameter set includes: Calculate the peak-to-peak value of the propagation error of the parameters in the set of parameters to be analyzed for microscopic shaping; The target parameter set is obtained by selecting parameters whose peak-to-peak value of the transmission error meets a preset threshold.

2. The gear parameter optimization method according to claim 1, characterized in that, The step of selecting optimization parameters from the target parameter set includes: Obtain optimization standard information; Optimization parameters are selected from the target parameter set based on the optimization criteria information.

3. A gear parameter optimization device, characterized in that, The device includes: The acquisition module is used to acquire the parameters of the gear; The optimization module is used to perform multi-objective optimization on the parameters to obtain a parameter set; The micro-shaping analysis module is used to perform micro-shaping analysis on the parameter set to obtain the target parameter set; The selection module is used to select optimization parameters from the target parameter set; The optimization module is also used for: Obtain the equivalent tooth surface contact safety factor and the equivalent tooth root bending safety factor and the overlap ratio; The parameters are optimized using a multi-objective approach based on the equivalent tooth surface contact safety factor, the equivalent tooth root bending safety factor, and the overlap ratio to obtain a parameter set. The micro-shaping analysis module is also used for: Obtain overlap data; Based on the overlap data, parameters for micro-shaping analysis are selected from the parameter set to obtain the parameter set for micro-shaping analysis. Microscopic shaping analysis is performed on the set of parameters to be microscopically shaped to obtain the target parameter set; Calculate the peak-to-peak value of the propagation error of the parameters in the set of parameters to be analyzed for microscopic shaping; The target parameter set is obtained by selecting parameters whose peak-to-peak value of the transmission error meets a preset threshold.

4. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform the gear parameter optimization method according to any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the gear parameter optimization method as described in any one of claims 1 to 2.

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