Design method of planetary gear train, double-brake device and winding speed reducer

Abstract

The invention relates to the technical field of engineering machinery, in particular to a design method of a planetary gear train, a double-brake device and a winch speed reducer. The design method of the planetary gear train comprises the steps that an initial design parameter scheme is determined according to design requirements, and modeling is conducted through the initial design parameter scheme to obtain a planetary gear train simulation model; checking transmission parts in the planetary gear train according to the planetary gear train simulation model to obtain optimal design parameters; and establishing a gear meshing dynamics simulation model by utilizing the optimal design parameters, searching an optimal solution in an analysis result set by utilizing a neural network algorithm, and further determining target design parameters of the planetary gear train. According to the method, gear checking, bearing service life calculation and shaft strength checking are considered in the design process of the planetary gear train, the target design parameters are screened out from the multiple initial design parameters, the obtained target design parameters are optimal solutions, and therefore the performance of the transmission system obtained through design can reach the optimal index.

Description

Technical Field

[0001] The invention relates to the technical field of engineering machinery, and in particular to a design method of a planetary gear train, a double braking device and a winch reducer. Background Art

[0002] High reliability and high torque winch reducers are widely used in construction machinery such as cranes and rotary drilling rigs. Generally, hydraulic motors or electric motors are used to drive the winch reducers to rotate. The winch reducers are one of the important components in the transmission system of construction machinery. At present, the design of winch reducers is based on the design manual, which not only relies on the designer's own experience, but also the designed winch reducers are difficult to achieve the optimal indicators of various transmission performance indicators. Summary of the invention

[0003] In view of this, the present invention provides a design method of a planetary gear system, a dual braking device and a winch reducer to solve the problem that various transmission performances of the winch reducer designed using the traditional design method of the winch reducer are difficult to achieve optimal indicators.

[0004] In a first aspect, the present invention provides a design method for a planetary gear train, comprising the following steps: obtaining design requirements for the planetary gear train, and determining an initial design parameter scheme for the planetary gear train according to the design requirements; modeling using the initial design parameter scheme to obtain a planetary gear train simulation model; calibrating the transmission parts in the planetary gear train according to the planetary gear train simulation model, and screening out initial design parameters that meet the calibration standards from the initial design parameter scheme based on the calibration results to obtain optimal design parameters; establishing a gear meshing dynamics simulation model using the optimal design parameters, and performing simulation analysis based on the gear meshing dynamics simulation model to obtain a set of analysis results; finding an optimal solution in the set of analysis results using a neural network algorithm; and determining target design parameters for the planetary gear train based on the found optimal solution.

[0005] The design method of the planetary gear train provided by the present invention determines the initial design parameter scheme of the planetary gear train according to the design requirements, further uses the initial design parameter scheme to model, and obtains the planetary gear train simulation model; checks the transmission parts in the planetary gear train according to the planetary gear train simulation model, and selects the initial design parameters that meet the verification standards in the initial design parameter scheme according to the verification results to obtain the optimal design parameters; further, uses the optimal design parameters to establish a gear meshing dynamics simulation model, and performs simulation analysis based on the gear meshing dynamics simulation model to obtain an analysis result set; uses a neural network algorithm to find the optimal solution in the analysis result set; and determines the target design parameters of the planetary gear train according to the optimal solution found. It can be seen that the present invention takes into account the verification of gears, bearing life calculation, and strength verification of shafts in the design process of the planetary gear train, and selects the target design parameters from multiple initial design parameters. The target design parameters obtained are the optimal solutions, so the performance of the transmission system obtained by design can reach the optimal index, and then the various transmission properties of the designed winch reducer can reach the optimal index. In addition, the present invention uses a neural network algorithm to find the optimal solution in the analysis result set to improve the simulation efficiency.

[0006] In an optional embodiment, obtaining design requirements for a planetary gear train and determining an initial design parameter scheme for the planetary gear train based on the design requirements include: obtaining gear requirements and design goals in the design requirements; wherein the gear requirements include at least one of the following: number of teeth requirement, module requirement, pressure angle requirement, center distance requirement, displacement coefficient; the design goals of the planetary gear train include at least one of the following: service life, transmission smoothness, transmission efficiency, transmission ratio requirement; performing rough selection based on the gear requirements and design goals to obtain a first design parameter set for the planetary gear train; obtaining a gear selection range in the design requirements; performing fine selection in the first design parameter set based on the gear selection range to obtain a second design parameter set for the planetary gear train.

[0007] In this way, the initial design parameter scheme of the planetary gear train can be obtained quickly and accurately.

[0008] In an optional embodiment, after obtaining the second design parameter set of the planetary gear train, the method further includes: screening the second design parameter set using the minimum tooth root safety factor and the minimum tooth surface safety factor as indicators to obtain a third design parameter set.

[0009] Thus, a reasonable initial design parameter scheme can be obtained.

[0010] In an optional embodiment, calibrating the transmission components in a planetary gear train according to a planetary gear train simulation model includes: defining the input and output of the planetary gear train simulation model; obtaining load spectra of multiple working conditions; performing power flow analysis and / or system deformation analysis on the planetary gear train simulation model with defined input and output according to the load spectra of multiple working conditions, and calibrating the transmission components in the planetary gear train according to the results of the power flow analysis and / or system deformation analysis.

[0011] This allows for rapid and accurate calibration of transmission components in planetary gear trains.

[0012] In an optional embodiment, before determining the target design parameters of the planetary gear train according to the found optimal solution, it also includes: constructing an optimization model of the gear meshing transmission according to the found optimal solution; performing dynamic simulation analysis using the optimization model to obtain simulation results; and determining whether the planetary gear train meets the usage requirements based on the simulation results.

[0013] This can further verify the accuracy of the target design parameters.

[0014] In a second aspect, the present invention also provides a design device for a planetary gear train, comprising an initial design parameter scheme determination module, an optimal design parameter determination module, a simulation module, an optimization module and a target design parameter determination module; the initial design parameter scheme determination module is used to obtain the design requirements of the planetary gear train, and determine the initial design parameter scheme of the planetary gear train according to the design requirements; the optimal design parameter determination module is used to use the initial design parameter scheme to build a model to obtain a planetary gear train simulation model; the transmission parts in the planetary gear train are checked according to the planetary gear train simulation model, and the initial design parameters that meet the verification criteria are screened out from the initial design parameter scheme according to the verification results to obtain the optimal design parameters; the simulation module is used to establish a gear meshing dynamics simulation model using the optimal design parameters, and perform simulation analysis based on the gear meshing dynamics simulation model to obtain an analysis result set; the optimization module is used to use a neural network algorithm to find the optimal solution in the analysis result set; the target design parameter determination module is used to determine the target design parameters of the planetary gear train according to the found optimal solution.

[0015] In a third aspect, the present invention further provides a computer device, comprising a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for designing a planetary gear system according to the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0016] In a fourth aspect, the present invention further provides a planetary gear train designed using the design method of a planetary gear train according to the first aspect or any corresponding embodiment thereof.

[0017] In the fifth aspect, the present invention also provides a dual braking device, including a fixed seat, a ring gear, the planetary gear system 8 of the fourth aspect, a brake and a damper, wherein the brake is connected to the fixed seat, and the damper is connected to the fixed seat and the ring gear.

[0018] In a fifth aspect, the present invention further provides a winch reducer, comprising the dual braking device of the fifth aspect.

[0019] Aspect 7. The present invention also provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute the design method of a planetary gear system according to the above-mentioned first aspect or any corresponding embodiment thereof.

[0020] In an eighth aspect, the present invention further provides a computer program product, comprising computer instructions for causing a computer to execute the method for designing a planetary gear train according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 is a flow chart of a planetary gear train design method according to an embodiment of the present invention;

[0023] Figure 2 is a flow chart of another planetary gear train design method according to an embodiment of the present invention;

[0024] Figure 3 It is a flowchart of the rapid selection of gears;

[0025] Figure 4 This is a schematic diagram of the MASTA process for planetary system calibration;

[0026] Figure 5 This is a schematic diagram of simulation optimization based on BP neural network algorithm;

[0027] Figure 6 It is a BP neural network structure model;

[0028] Figure 7 It is a structural diagram of the winch reducer;

[0029] Figure 8 is a structural block diagram of a planetary gear train design device according to an embodiment of the present invention;

[0030] Fig. 9 is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention;

[0031] Among them, 1. spline sleeve; 2. first-stage sun gear; 3. first-stage planetary gear; 4. second-stage sun gear; 5. second-stage planetary gear; 6. third-stage sun gear; 7. third-stage planetary gear; 8. first ring gear; 9. second ring gear; 10. brake; 11. damper; 12. fixed seat. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0033] According to an embodiment of the present invention, an embodiment of a method for designing a planetary gear train is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] In this embodiment, a design method of a planetary gear train is provided, which can be used in computer equipment. Figure 1 : is a flow chart of a planetary gear train design method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0035] Step S101: obtaining design requirements of a planetary gear train, and determining an initial design parameter scheme of the planetary gear train according to the design requirements.

[0036] Specifically, the KISSsoft software can be used to determine the initial design parameter scheme of the planetary gear train according to the design requirements of the planetary gear train. The initial design parameter scheme of the planetary gear train includes multiple groups of initial design parameters, and each group of initial design parameters includes multiple parameters.

[0037] Step S102: Modeling is performed using the initial design parameter scheme to obtain a planetary gear train simulation model; the transmission components in the planetary gear train are calibrated according to the planetary gear train simulation model, and initial design parameters that meet the calibration criteria are screened out from the initial design parameter scheme according to the calibration results to obtain optimal design parameters.

[0038] Specifically, the MSATA software can be used to model the planetary gear train based on the initial design parameter scheme to obtain the planetary gear train simulation model. The transmission parts in the planetary gear train include: gears, gear rings, planet carriers and bearings.

[0039] Step S103: establishing a gear meshing dynamics simulation model using the optimal design parameters, and performing simulation analysis based on the gear meshing dynamics simulation model to obtain a set of analysis results.

[0040] Specifically, the CREO software can be used to establish a gear meshing dynamics simulation model.

[0041] Step S104: using a neural network algorithm to find the optimal solution in the analysis result set.

[0042] Step S105: Determine target design parameters of the planetary gear train according to the found optimal solution.

[0043] The design method of the planetary gear train provided by the present invention determines the initial design parameter scheme of the planetary gear train according to the design requirements, further uses the initial design parameter scheme to model, and obtains the planetary gear train simulation model; checks the transmission parts in the planetary gear train according to the planetary gear train simulation model, and selects the initial design parameters that meet the verification standards in the initial design parameter scheme according to the verification results to obtain the optimal design parameters; further, uses the optimal design parameters to establish a gear meshing dynamics simulation model, and performs simulation analysis based on the gear meshing dynamics simulation model to obtain an analysis result set; uses a neural network algorithm to find the optimal solution in the analysis result set; and determines the target design parameters of the planetary gear train according to the optimal solution found. It can be seen that the present invention takes into account the verification of gears, bearing life calculation, and strength verification of shafts in the design process of planetary gears, and selects the target design parameters from multiple initial design parameters. The target design parameters obtained are the optimal solutions, so the performance of the transmission system obtained by design can reach the optimal index, and then the various transmission properties of the designed winch reducer can reach the optimal index. In addition, the present invention uses a neural network algorithm to find the optimal solution in the analysis result set to improve the simulation efficiency.

[0044] In this embodiment, a design method of a planetary gear train is provided, which can be used in computer equipment. Figure 2 FIG. 1 is a flow chart of another planetary gear train design method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0045] Step S201: Obtain design requirements for a planetary gear train, and determine an initial design parameter scheme for the planetary gear train according to the design requirements.

[0046] like Figure 3As shown, in an optional implementation, obtaining the design requirements of the planetary gear train and determining the initial design parameter scheme of the planetary gear train according to the design requirements includes the following steps S2011 to S2014.

[0047] Step S2011: Obtain the gear requirements and design goals in the design requirements; wherein the gear requirements include at least one of the following: number of teeth requirements, module requirements, pressure angle requirements, center distance requirements, displacement coefficient; the design goals of the planetary gear system include at least one of the following: service life, transmission smoothness, transmission efficiency, transmission ratio requirements.

[0048] Step S2012: Perform a rough selection according to the gear requirements and design objectives to obtain a first design parameter set of the planetary gear train.

[0049] Step S2013: Obtain the gear selection range in the design requirements.

[0050] Step S2014: performing fine selection in the first design parameter set according to the gear selection range to obtain a second design parameter set for the planetary gear train.

[0051] Furthermore, after obtaining the second design parameter set of the planetary gear train, the method further includes: screening the second design parameter set using the minimum tooth root safety factor and the minimum tooth surface safety factor as indicators to obtain a third design parameter set.

[0052] That is to say, the minimum tooth root safety factor and the minimum tooth surface safety factor are used as optimization indicators to screen the second design parameter set, and solutions with non-coprime tooth numbers are eliminated to obtain the third design parameter set.

[0053] Step S202: Modeling is performed using the initial design parameter scheme to obtain a planetary gear train simulation model; the transmission components in the planetary gear train are calibrated according to the planetary gear train simulation model, and initial design parameters that meet the calibration criteria are screened out from the initial design parameter scheme based on the calibration results to obtain optimal design parameters.

[0054] like Figure 4 As shown, in an optional implementation, step S202 includes:

[0055] Step S2021: Modeling is performed using the initial design parameter scheme to obtain a planetary gear train simulation model.

[0056] Specifically, MASTA software is used to model the winch reducer transmission system.

[0057] Step S2022: define the input and output of the planetary gear train simulation model.

[0058] Specifically, the winch reducer is the sun gear input, and the ring gear and the planet carrier are the output. By creating a clutch, half of it is connected to the ring gear and the other half is connected to the planet carrier, so that the ring gear and the planet carrier are fixed together. Add the input power load to the sun gear I and add the output power load to the ring gear.

[0059] Step S2023: Obtain load spectra of multiple working conditions.

[0060] Specifically, the load spectrum is a collection of multiple working conditions. The working conditions of the winch reducer are defined according to the actual working state of the crane, and all the created working conditions are added to the load spectrum.

[0061] Step S2024: Perform power flow analysis and / or system deformation analysis on the planetary gear train simulation model with defined input and output according to the load spectra of multiple working conditions, and calibrate the transmission components in the planetary gear train according to the results of the power flow analysis and / or system deformation analysis.

[0062] Specifically, a power flow analysis was performed to obtain the verification results of the gear pair under different working conditions. This verification result did not take into account the misalignment. For other parts, under given working conditions, detailed information on the speed of the component can be obtained, as well as detailed information on how to transfer speed, torque and power to the components connected to it. A system deformation analysis was performed, the gear meshing misalignment was calculated, and the gear verification results considering the gear misalignment were given. The deformation and misalignment of the bearings were further calculated, the bearings were verified, and the bearing life was calculated. The strength of the shaft was verified to obtain the overall fatigue damage rate, fatigue safety factor and static strength failure safety factor of the shaft.

[0063] Step S2025: Filter out the initial design parameters that meet the verification criteria from the initial design parameter solutions according to the verification results to obtain the optimal design parameters.

[0064] Step S203: establishing a gear meshing dynamics simulation model using the optimal design parameters, and performing simulation analysis based on the gear meshing dynamics simulation model to obtain a set of analysis results.

[0065] Step S204: using a neural network algorithm to find the optimal solution in the analysis result set.

[0066] Step S205: Determine target design parameters of the planetary gear train according to the found optimal solution.

[0067] Figure 5 This is a simulation optimization diagram based on the BP neural network algorithm, such as Figure 5As shown in the figure, based on the geometric numerical model constructed by CREO, the finite element model of gear meshing transmission is established using ABAQUS finite element software, and the initial dynamic simulation analysis is carried out. The BP neural network algorithm (multi-layer feedforward neural network algorithm) is then used to train the sample learning to achieve the optimization of the simulation results. Finally, the simulation optimization analysis is completed through the optimization result data to obtain the simulation results that meet the requirements.

[0068] The optimization simulation process is as follows:

[0069] Step S1: Use material experimental data as initial simulation data, then divide the finite element model into different grid sizes, perform initial simulation analysis, and obtain simulation results as small batch samples; use the simulation results as training samples for the BP neural network.

[0070] Step S2: Use the BP neural network model to learn and train the sample data, use the particle swarm algorithm to find the optimal solution, and substitute the optimal solution into the simulation model for optimization analysis. If the optimization simulation result does not meet the target requirements, use the simulation model to generate more samples near the optimal solution found.

[0071] Step S3: Use the secondary sample to continue training the BP neural network model, find the optimal solution again and perform optimization simulation until the optimization simulation results meet the target requirements;

[0072] Figure 6 It is a BP neural network structure model. Neural network is a multi-layer feedforward artificial neural network that uses the error back propagation algorithm. The BP neural network structure consists of an input layer, a hidden layer, and an output layer, which form a three-layer BP neural network. The layers are interconnected, and the nodes in each layer are not connected. The forward propagation of neural network learning is that after the input layer receives the input signal Xi, the data received by the input layer is processed by the hidden layer and passed to the output layer to output the result.

[0073] like Figure 5 As shown, in an optional embodiment, before determining the target design parameters of the planetary gear train according to the found optimal solution, it also includes: constructing an optimization model of the gear meshing transmission according to the found optimal solution; performing dynamic simulation analysis using the optimization model to obtain simulation results; and determining whether the planetary gear train meets the use requirements according to the simulation results.

[0074] The design method of the planetary gear train provided by the present invention determines the initial design parameter scheme of the planetary gear train according to the design requirements, further uses the initial design parameter scheme to model, and obtains the planetary gear train simulation model; checks the transmission parts in the planetary gear train according to the planetary gear train simulation model, and selects the initial design parameters that meet the verification standards in the initial design parameter scheme according to the verification results to obtain the optimal design parameters; further, uses the optimal design parameters to establish a gear meshing dynamics simulation model, and performs simulation analysis based on the gear meshing dynamics simulation model to obtain an analysis result set; uses a neural network algorithm to find the optimal solution in the analysis result set; and determines the target design parameters of the planetary gear train according to the optimal solution found. It can be seen that the present invention takes into account the verification of gears, bearing life calculation, and shaft verification in the design process of planetary gears, and selects the target design parameters from multiple initial design parameters. The target design parameters obtained are the optimal solutions, so the various transmission properties of the designed planetary gear train can reach the optimal index, and then the various transmission properties of the designed winch reducer can reach the optimal index. In addition, the present invention uses a neural network algorithm to find the optimal solution in the analysis result set to improve the simulation efficiency.

[0075] This embodiment also provides a planetary gear train, which is designed using the above-mentioned design method for a planetary gear train.

[0076] This embodiment also provides a dual brake device, including a fixed seat, a ring gear, the above-mentioned planetary gear system, a brake and a damper, wherein the brake is connected to the fixed seat, and the damper is connected to the fixed seat and the ring gear. This embodiment adopts a dual brake system consisting of an input end brake and an output end damper. The input end brake part is composed of a piston and a fixed seat to form a closed space, the piston is connected to the inner and outer friction plates, and the friction plates are connected to the spline sleeve through a spline. When the hydraulic oil enters the closed space, the spring is compressed, pushing the piston to move linearly, pressing the inner and outer friction plates, so that the spline sleeve stops rotating. The damper part is composed of a powder sheet and a steel sheet, and the powder sheet is covered with parallel grooves on both sides. The powder sheet is connected to the outer shell of the damper through a pin, and the steel sheet is connected to the inner end cover of the damper through a pin. The outer shell of the damper is fixed to the inner ring gear through a screw, and the inner end cover of the damper is connected to the fixed seat through a screw. The steel sheet and the powder sheet are pressed by the spring and are always in a friction state. When the winch reducer is stationary, the damper provides static braking torque; when the winch reducer is working, the damper provides dynamic braking torque.

[0077] This embodiment also provides a winch reducer, including the above-mentioned dual brake device. Most winch reducers on the market are single-brake winch reducers. After working for a long time, there is a possibility of insufficient braking torque, which poses certain safety hazards. The winch reducer provided in this embodiment adopts a brake, and the output end adopts a dual braking system of a damper, with input and output dual braking, which is safer and more reliable.

[0078] like Figure 7 As shown, the driving motor is connected to the reducer through the spline sleeve 1, and the motor power is transmitted to the first-stage sun gear 2 of the reducer through the spline sleeve 1. After the first-stage sun gear 2 rotates, it drives the first-stage planetary gear 3. After the first-stage planetary gear 3 rotates, it drives the second-stage sun gear 4 through the connected first-stage planetary carrier, so as to transmit the power from the first-stage planetary gear system to the second-stage planetary gear system and complete the first-stage reduction; secondly, after the second-stage sun gear 4 rotates, it drives the second-stage planetary gear 5. After the second-stage planetary gear 5 rotates, it drives the third-stage sun gear 6 through the connected second-stage planetary carrier, so as to transmit the power from the second-stage planetary gear system to the third-stage planetary gear system and complete the second-stage reduction; finally, after the third-stage sun gear 6 rotates, it drives the third-stage planetary gear 7. After the third-stage planetary gear 7 rotates, it drives the first gear ring 8 and the second gear ring 9 to rotate. The first gear ring 8 and the second gear ring 9 complete the output of power, wherein the first gear ring 8 and the second gear ring 9 are connected as a whole by bolts, so as to transmit the power from the third-stage planetary gear system to the gear ring and complete the third-stage reduction.

[0079] In this embodiment, a design device for a planetary gear train is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0080] This embodiment provides a design device for a planetary gear train, such as Figure 8 As shown, including:

[0081] The initial design parameter scheme determining module 801 is used to obtain the design requirements of the planetary gear train and determine the initial design parameter scheme of the planetary gear train according to the design requirements.

[0082] The optimal design parameter determination module 802 is used to use the initial design parameter scheme to build a model to obtain a planetary gear train simulation model; according to the planetary gear train simulation model, the transmission parts in the planetary gear train are calibrated, and according to the calibration results, the initial design parameters that meet the calibration standards are screened out in the initial design parameter scheme to obtain the optimal design parameters.

[0083] The simulation module 803 is used to establish a gear meshing dynamics simulation model using the optimal design parameters, and to perform simulation analysis based on the gear meshing dynamics simulation model to obtain a set of analysis results.

[0084] The optimization module 804 is used to use a neural network algorithm to find the optimal solution in the analysis result set.

[0085] The target design parameter determination module 805 is used to determine the target design parameters of the planetary gear train according to the found optimal solution.

[0086] In an optional embodiment, the initial design parameter scheme determination module is specifically used to: obtain the gear requirements and design goals in the design requirements; wherein the gear requirements include at least one of the following: number of teeth requirements, module requirements, pressure angle requirements, center distance requirements, displacement coefficient; the design goals of the planetary gear train include at least one of the following: service life, transmission smoothness, transmission efficiency, transmission ratio requirements; perform rough selection according to the gear requirements and design goals to obtain a first design parameter set for the planetary gear train; obtain the gear selection range in the design requirements; perform fine selection in the first design parameter set according to the gear selection range to obtain a second design parameter set for the planetary gear train.

[0087] In an optional embodiment, after obtaining the second design parameter set of the planetary gear system, the initial design parameter scheme determination module is also used to: screen the second design parameter set using the minimum tooth root safety factor and the minimum tooth surface safety factor as indicators to obtain a third design parameter set.

[0088] In an optional embodiment, the optimal design parameter determination module is specifically used to: define the input and output of the planetary gear train simulation model; obtain the load spectrum of multiple working conditions; perform power flow analysis and / or system deformation analysis on the planetary gear train simulation model with defined input and output according to the load spectrum of multiple working conditions, and calibrate the transmission parts in the planetary gear train according to the results of the power flow analysis and / or system deformation analysis.

[0089] In an optional embodiment, the design device of the planetary gear train further includes a verification module. Before determining the target design parameters of the planetary gear train according to the found optimal solution, the verification module is used to construct an optimization model of the gear meshing transmission according to the found optimal solution; perform dynamic simulation analysis using the optimization model to obtain simulation results; and determine whether the planetary gear train meets the use requirements according to the simulation results.

[0090] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0091] The design device of the planetary gear train in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0092] The embodiment of the present invention also provides a computer device having the above Figure 8 The design device of the planetary gear train is shown.

[0093] See also Fig. 9 , Fig. 9 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Fig. 9 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Fig. 9 A processor 10 is taken as an example.

[0094] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0095] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0096] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0097] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0098] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Fig. 9 The example of connecting through bus is taken in the following.

[0099] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0100] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0101] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0102] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A design method for a planetary gear train, characterized in that: include: Acquiring design requirements for a planetary gear train, and determining an initial design parameter scheme for the planetary gear train according to the design requirements; Modeling is performed using the initial design parameter scheme to obtain a planetary gear train simulation model; Verifying the transmission components in the planetary gear train according to the planetary gear train simulation model, and selecting initial design parameters that meet the verification criteria from the initial design parameter scheme according to the verification results to obtain optimal design parameters; Establishing a gear meshing dynamics simulation model using the optimal design parameters, and performing simulation analysis based on the gear meshing dynamics simulation model to obtain a set of analysis results; Using a neural network algorithm to find the optimal solution in the analysis result set; The target design parameters of the planetary gear train are determined according to the found optimal solution.

2. The method according to claim 1, characterized in that The step of obtaining the design requirements of the planetary gear train and determining the initial design parameter scheme of the planetary gear train according to the design requirements comprises: Obtaining the gear requirements and design goals in the design requirements; wherein the gear requirements include at least one of the following: number of teeth requirements, module requirements, pressure angle requirements, center distance requirements, and displacement coefficient; the design goals of the planetary gear train include at least one of the following: service life, transmission stability, transmission efficiency, and transmission ratio requirements; Performing a rough selection according to the gear requirements and the design objectives to obtain a first design parameter set of the planetary gear train; Obtaining the gear selection range in the design requirements; According to the gear selection range, a detailed selection is performed in the first design parameter set to obtain a second design parameter set for the planetary gear train.

3. The method according to claim 1, characterized in that: After obtaining the second design parameter set of the planetary gear train, the method further includes: The second design parameter set is screened using the minimum tooth root safety factor and the minimum tooth surface safety factor as indicators to obtain a third design parameter set.

4. The method according to claim 1, characterized in that: The checking of the transmission components in the planetary gear train according to the planetary gear train simulation model comprises: Defining inputs and outputs of the planetary gear train simulation model; Obtain load spectra for multiple working conditions; A power flow analysis and / or a system deformation analysis is performed on the planetary gear train simulation model that defines input and output according to the load spectra of multiple working conditions, and the transmission parts in the planetary gear train are checked according to the results of the power flow analysis and / or the system deformation analysis.

5. The method according to claim 1, characterized in that Before determining the target design parameters of the planetary gear train based on the found optimal solution, it also includes: Constructing an optimization model of gear meshing transmission according to the found optimal solution; Performing dynamic simulation analysis using the optimization model to obtain simulation results; Determine whether the planetary gear train meets the use requirements according to the simulation results.

6. A design device for a planetary gear train, characterized in that: include: An initial design parameter scheme determining module, used to obtain design requirements of a planetary gear train and determine an initial design parameter scheme of the planetary gear train according to the design requirements; An optimal design parameter determination module is used to use the initial design parameter scheme to build a model to obtain a planetary gear train simulation model; verify the transmission parts in the planetary gear train according to the planetary gear train simulation model, and select the initial design parameters that meet the verification criteria in the initial design parameter scheme according to the verification results to obtain the optimal design parameters; A simulation module, used to establish a gear meshing dynamics simulation model using the optimal design parameters, and to perform simulation analysis based on the gear meshing dynamics simulation model to obtain a set of analysis results; An optimization module, used for finding the optimal solution in the analysis result set by using a neural network algorithm; The target design parameter determination module is used to determine the target design parameters of the planetary gear train according to the found optimal solution.

7. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the planetary gear system design method according to any one of claims 1 to 5 by executing the computer instructions.

8. A planetary gear train, characterized in that: The planetary gear train is designed by using the design method of the planetary gear train according to any one of claims 1 to 5.

9. A dual brake device, characterized in that: include: Fixed seat; Ring gear; The planetary gear train according to claim 8; A brake connected to the fixing seat; A damper is connected to the fixing seat and the gear ring.

10. A winch reducer, characterized in that: Includes the dual braking device as described in claim 9.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the planetary gear train design method according to any one of claims 1 to 5.

12. A computer program product, characterized in that The invention comprises computer instructions for causing a computer to execute the planetary gear train design method according to any one of claims 1 to 5.

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