Gear digital design method and platform

Abstract

According to the gear digital design method and platform, gear design service and gear parameter optimization service are integrated, gear design efficiency is improved, meanwhile, a large amount of data of databases such as a material library, a heat treatment library and an SN curve library are utilized, and gear design efficiency is improved. The multi-objective genetic algorithm is used for carrying out life and cost multi-objective optimization on material parameters, heat treatment process parameters and strengthening process parameters of the gear, so that efficient gear design and parameter optimization are realized, and high efficiency and accuracy of gear design are ensured; meanwhile, the design cost is reduced, and the product reliability is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of gear design, and in particular relates to a gear digital design method and platform. Background Art

[0002] With the development of industrial automation and intelligent manufacturing, gears, as key parts in mechanical transmission systems, play a vital role in the performance of the entire transmission system, and gear design is one of the important steps in transmission system design. Traditional gear design methods often rely on the experience of engineers, which is inefficient and costly. In addition, a large amount of information on materials, heat treatment, processing technology, etc. needs to be found during the design process. These data are not integrated and the search takes a lot of time. Most of the existing gear parameter optimization methods rely on manual experience, lack systematicity and efficiency, and cannot give full play to the advantages of a large amount of gear-related design, processing and test data accumulated in the past. Summary of the invention

[0003] In view of the above problems, the purpose of the present invention is to provide a digital gear design method and platform to solve the problem that traditional gear design relies on experience and is inefficient.

[0004] To achieve the above object, the technical solution adopted by the present invention includes: A gear digital design method comprises the following steps: S1, designing the macro parameters of the gear according to the gear design conditions, and obtaining a gear macro parameter design report; the gear design conditions at least include the load spectrum, center distance, speed ratio and accuracy of a pair of gears; S2, making a modification judgment on the macro parameters of the gear, obtaining the modification result, and generating a gear modification report; if it is judged that no modification is needed, the modification result is that no modification is needed; if it is judged that modification is needed, selecting the modification method and calculating the modification result; S3, obtain the SN curve, and make strength judgment on the macro parameters of the gear and its corresponding modification results through the SN curve and load spectrum; if the strength judgment fails, it is necessary to re-execute S1 to design the macro parameters of the gear; if the strength judgment passes, generate a gear strength judgment report; S4, conducts a processing feasibility analysis on the macro parameters of the gears that have passed the strength judgment and their corresponding modification results. If the processing conditions cannot be met, S1 needs to be re-executed to design the macro parameters of the gears; if the processing conditions are met, determine whether the existing tools can process the pair of gears; if they can be processed, directly select the existing tools in the tool data and process the gears; if there are no existing tools to choose from, design a customized tool and process the gears, and generate a tool call / design report; S5, obtaining material data, heat treatment data, strengthening process data and SN curve, combining the material data, heat treatment process data, strengthening process data, SN curve and macro parameters of the gear that has passed the strength judgment and its corresponding modification results, and performing multi-objective optimization of the gear material parameters, heat treatment process parameters and strengthening process parameters in terms of life and cost through a multi-objective genetic algorithm, obtaining the gear material, heat treatment process and strengthening process, and generating a material, heat treatment process and strengthening process report; S6, selecting a three-dimensional model, and inputting the macro parameters of the gear that has passed the strength judgment and its corresponding modification results into the three-dimensional model, to generate a three-dimensional model of the gear and a two-dimensional drawing of the gear; S7, select the simulation model, and input the macro parameters of the gear that passes the strength judgment and its corresponding modification results, the gear material, heat treatment process and strengthening process obtained in S5, and the gear three-dimensional model obtained in S6 into the simulation model and perform simulation analysis, and generate a model simulation analysis report.

[0005] Furthermore, the following steps are included: S8, integrating the gear macro parameter design report of S1, the gear modification report of S2, the gear strength judgment report of S3, the tool calling / design report of S4, the material and heat treatment process and strengthening process report of S5, the gear three-dimensional model and gear two-dimensional drawing of S6 and the model simulation analysis report of S7 to generate a gear design report.

[0006] Preferably, the macroscopic parameters of the gear include at least the number of teeth, module, pressure angle, helix angle, hand direction, tooth width, modification coefficient, tooth top height coefficient and tooth root height coefficient.

[0007] Preferably, the shaping includes tooth profile shaping and tooth direction shaping, the tooth profile shaping includes at least K shaping and parabola shaping, and the tooth direction shaping includes at least drum shaping and helix shaping.

[0008] Preferably, the strength judgment includes at least contact strength, bending strength and bonding strength.

[0009] A gear digital design system, including a user UI interface, an application layer, a gear database layer and a cloud platform infrastructure; The user UI interface is used to realize the interaction between the application layer and the user; The application layer includes a gear design module, a gear parameter optimization module and a user management module. The gear design module is used to execute steps S1-S4 of the gear digital design method disclosed in the present application; the gear parameter optimization module is used to execute steps S5-S7 of the gear digital design method disclosed in the present application; and the user management module is used to manage user information; The gear database layer includes the following databases: material library, heat treatment library, strengthening library, SN curve library, tool library, 3D model library and simulation model library; the material library is used to provide material data, the heat treatment library is used to provide heat treatment data, the strengthening library is used to provide strengthening process data, the SN curve library is used to provide SN curves, the tool library is used to provide tool data, the 3D model library is used to provide 3D models, and the simulation model library is used to provide simulation models; The cloud platform infrastructure is used to call the various databases of the gear database layer and send them to the application layer, as well as store gear design reports.

[0010] Compared with the prior art, the advantages of the present invention are: (1) The gear digital design method and platform of the present invention realizes efficient gear design and parameter optimization, improves the efficiency and accuracy of gear design, reduces design costs, and improves product reliability.

[0011] (2) The gear digital design method and platform of the present invention integrates gear design services and gear parameter optimization services to improve gear design efficiency. At the same time, a large amount of data from databases such as material libraries, heat treatment libraries, and SN curve libraries are used, and a multi-objective genetic algorithm is used to perform multi-objective optimization of gear material parameters, heat treatment process parameters, and strengthening process parameters in terms of life and cost, thereby ensuring the efficiency and accuracy of gear design. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present invention but do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is the architecture of the gear digital design platform of the present invention. DETAILED DESCRIPTION

[0013] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below. The described embodiments should not be regarded as limiting the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0014] In the following description, reference is made to "this embodiment", which describes a subset of all possible embodiments, but it is understood that "this embodiment" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present invention have the same meaning as those commonly understood by those skilled in the art to which the embodiments of the present invention pertain. The terms used in the embodiments of the present invention are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0015] Example 1 This embodiment discloses a gear digital design method, comprising the following steps: S1. Design the macro parameters of the gear according to the gear design conditions, as shown in Table 1, and obtain the gear macro parameter design report; the gear design conditions of this embodiment include the load spectrum of a pair of gears (torque 2800Nm\speed 1800Rpm\time 50h), center distance (139.5mm), speed ratio (1.4±0.1) and accuracy (8 levels); the macro parameters of the gear in this embodiment include at least the number of teeth, module, pressure angle, helix angle, hand direction, tooth width, displacement coefficient, tooth top height coefficient and tooth root height coefficient. The gears designed in this embodiment are all cylindrical gears.

[0016] Table 1 Macro parameters of gears

[0017] S2, making a modification judgment on the macro parameters of the gear, obtaining the modification result, and generating a gear modification report; if it is judged that no modification is needed, the modification result is that no modification is needed; if it is judged that modification is needed, selecting the modification method and calculating the modification result; The shaping includes tooth profile shaping and tooth direction shaping. The tooth profile shaping includes at least K shaping and parabola shaping. The tooth direction shaping includes at least drum shaping and helix shaping. The shaping result of this embodiment is that shaping is required, and the shaping method selects drum shaping, the drum amount is 0.015~0.035, and a gear shaping report is generated.

[0018] S3, obtaining the SN curve, and judging the macroscopic parameters of the gear and its corresponding modification results by the SN curve and the load spectrum, including contact strength, bending strength and bonding strength, with the safety factors being greater than 1; If the strength judgment fails, it is necessary to re-execute S1 to design the macro parameters of the gear; in this embodiment, the strength judgment passes and a gear strength judgment report is generated.

[0019] S4, after the strength is judged to be qualified, it is determined that the processing method of the designed gear is shaving processing, and the macro parameters of the gear that passes the strength judgment and the corresponding modification results are analyzed for processing feasibility through the tool verification program. If the processing conditions cannot be met, it is necessary to re-execute S1 to design the macro parameters of the gear; if the shaving processing in this embodiment meets the processing conditions, it is determined whether the existing tool can process the pair of gears; If the gear can be processed, the existing tool in the tool data is directly selected to process the gear. If there is no existing tool to choose from, a customized tool is designed to process the gear and generate a tool call / design report. The gears that pass the strength judgment are analyzed for processing feasibility through the tool verification program. The pair of gears can be shaved. The data of the tool library is called to search whether the existing tools in the tool library can process the pair of gears. If there are no alternative tools in the tool library, customized tool design is performed and the gears are processed, and a tool call / design report is generated.

[0020] The tool verification program disclosed in this embodiment is designed based on the gear tool design book using existing commercial software, such as Romax or Kisssoft, to verify whether the gear parameters can be processed.

[0021] S5, obtain material data, heat treatment data, strengthening process data and SN curve, and use the material data, heat treatment process data, strengthening process data, SN curve and the macro parameters of the gear that pass the strength judgment and its corresponding modification results to perform multi-objective optimization of the gear material parameters, heat treatment process parameters and strengthening process parameters in terms of life and cost through a multi-objective genetic algorithm to obtain the gear material, heat treatment process and strengthening process, and generate a material, heat treatment process and strengthening process report.

[0022] The multi-objective optimization of life span and cost disclosed in this embodiment is as follows: ① Design cost objective function as the minimization cost, see formula (1) (1) The material data of this embodiment at least includes material density, material price per unit mass, and material life; in formula (1): is the material cost, as shown in formula (2), which is calculated based on the material cost per unit volume or mass in the material library and the volume or mass of the gear: (2) in is the material density, is the gear volume, is the price of material per unit mass.

[0023] The heat treatment process data of this embodiment at least includes the cost coefficients corresponding to different heat treatment methods; in formula (1): is the heat treatment process cost, see formula (3). According to the selection of heat treatment process, the heat treatment cost per unit volume or mass can be obtained from the heat treatment library: (3) in It is the cost coefficient corresponding to different heat treatment methods.

[0024] The strengthening process parameters of this embodiment at least include cost coefficients corresponding to different strengthening process methods; in formula (1): To strengthen the process cost, see formula (4), the cost of each process in the shot peening process library is calculated: (4) in It is the cost coefficient corresponding to different strengthening process methods.

[0025] The cost calculation of this embodiment can also introduce various costs such as manufacturing, transportation, and energy in the gear manufacturing process. In formula (1), It is the cost of manufacturing, transportation, energy, etc. in the gear manufacturing process.

[0026] ② The design life objective function is used as the maximum life, see formula (5) (5) In formula (5) is the material life, see formula (6) (6) in is the gear contact fatigue limit, is the gear contact stress, and All of them belong to the content of gear macro parameter design report; is the fatigue life index, which is directly obtained from the SN curve; In formula (5) and They are the correction coefficients of strengthening process and heat treatment process on life, which are determined according to the life curves of different strengthening processes and heat treatment processes in the SN curve.

[0027] ③ The cost objective function and life objective function obtained by ① and ② are optimized with the goal of minimum cost and maximum life. After multiple generations of iterations, the optimization function outputs 3 sets of Pareto optimal solutions, as follows: Option 1: 20MnCr5+hardened layer depth 0.82~1.31+surface hardness 55~60+shot peening. This option has a lower cost and a minimum safety factor of 1.05. Option 2: 20Cr2Ni4+hardened layer depth 1.12~1.61+surface hardness 55~60+shot blasting. This option has a higher cost and a minimum safety factor of 1.15. Option three, 8620RH+hardening layer depth 0.82~1.31+surface hardness 55~60+shot blasting. This option has medium cost and the minimum safety factor is 1.1.

[0028] This embodiment finally selects option three according to the needs, and generates material, heat treatment process and strengthening process reports.

[0029] S6, selecting and acquiring a three-dimensional model, and inputting the macro parameters of the gear that has passed the strength judgment and its corresponding modification results into the three-dimensional model, to generate a three-dimensional model of the gear and a two-dimensional drawing of the gear.

[0030] S7, select the simulation model, and input the macro parameters of the gear that passes the strength judgment and its corresponding modification results, the gear material, heat treatment process and strengthening process obtained in S5, and the gear three-dimensional model obtained in S6 into the simulation model and perform simulation analysis, and generate a model simulation analysis report.

[0031] S8 integrates the gear macro parameter design report of S1, the gear modification report of S2, the gear strength judgment report of S3, the tool calling / design report of S4, the material and heat treatment process and strengthening process report of S5, the gear three-dimensional model and gear two-dimensional drawing of S6, and the model simulation analysis report of S7 to generate a gear design report.

[0032] Example 2 This embodiment discloses a gear digital design system, based on the gear digital design method of embodiment 1, including a user UI interface, an application layer, a gear database layer and a cloud platform infrastructure; The user UI interface is used to realize the interaction between the application layer and the user, and realize the reception and display functions of user information, including obtaining the gear design conditions input by the user and sending them to the application layer, and providing the various reports obtained by the application layer to the user according to the user's needs; The application layer includes a gear design module, a gear parameter optimization module and a user management module. The gear design module is used to execute steps S1-S4 of the gear digital design method disclosed in Example 1; the gear parameter optimization module is used to execute steps S5-S7 of the gear digital design method disclosed in Example 1; the user management module is used to manage user information, including user registration, login and other information; The gear database layer includes a material library, a heat treatment library, a strengthening library, an SN curve library, a tool library, a 3D model library and a simulation model library. The material library is used to provide material data, the heat treatment library is used to provide heat treatment data, the strengthening library is used to provide strengthening process data, the SN curve library is used to provide SN curves, the tool library is used to provide tool data, the 3D model library is used to provide 3D models, and the simulation model library is used to provide simulation models. The cloud platform infrastructure includes network and storage modules. The network is used to enable the application layer to call the databases in the gear database layer and send them to the application layer, and the storage is used to store the gear design report.

[0033] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0034] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

Claims

1. A gear digital design method, characterized in that: The steps include: S1, design the macro parameters of the gear according to the gear design conditions and obtain the gear macro parameter design report; The gear design conditions include at least the load spectrum, center distance, speed ratio and accuracy of a pair of gears; S2, making modification judgment on the macro parameters of the gear, obtaining modification results, and generating a gear modification report; If it is determined that no shaping is required, the shaping result is that no shaping is required; if it is determined that shaping is required, a shaping method is selected and the shaping result is calculated; S3, obtaining an SN curve, and performing strength judgment on the macro parameters of the gear and its corresponding modification results through the SN curve and the load spectrum; If the strength judgment fails, S1 needs to be re-executed to design the macro parameters of the gear; if the strength judgment passes, a gear strength judgment report is generated; S4, conduct a processing feasibility analysis on the macro parameters of the gears that have passed the strength judgment and their corresponding modification results. If the processing conditions cannot be met, it is necessary to re-execute S1 to design the macro parameters of the gears; if the processing conditions are met, determine whether the existing tools can process the pair of gears; If the gear can be processed, the existing tool in the tool data is directly selected to process the gear. If there is no existing tool to choose from, a customized tool is designed to process the gear and generate a tool call / design report. S5, obtaining material data, heat treatment data, strengthening process data and SN curve, combining the material data, heat treatment process data, strengthening process data, SN curve and macro parameters of the gear that has passed the strength judgment and its corresponding modification results, and performing multi-objective optimization of the gear material parameters, heat treatment process parameters and strengthening process parameters in terms of life and cost through a multi-objective genetic algorithm, obtaining the gear material, heat treatment process and strengthening process, and generating a material, heat treatment process and strengthening process report; S6, selecting a three-dimensional model, and inputting the macro parameters of the gear that has passed the strength judgment and its corresponding modification results into the three-dimensional model, to generate a three-dimensional model of the gear and a two-dimensional drawing of the gear; S7, select the simulation model, and input the macro parameters of the gear that passes the strength judgment and its corresponding modification results, the gear material, heat treatment process and strengthening process obtained in S5, and the gear three-dimensional model obtained in S6 into the simulation model and perform simulation analysis, and generate a model simulation analysis report.

2. The gear digital design method according to claim 1, characterized in that: The following steps are also included: S8 integrates the gear macro parameter design report of S1, the gear modification report of S2, the gear strength judgment report of S3, the tool calling / design report of S4, the material and heat treatment process and strengthening process report of S5, the gear three-dimensional model and gear two-dimensional drawing of S6, and the model simulation analysis report of S7 to generate a gear design report.

3. The gear digital design method according to any one of claims 1 or 2, characterized in that: The macro parameters of the gear include at least the number of teeth, module, pressure angle, helix angle, hand direction, tooth width, modification coefficient, tooth top height coefficient and tooth root height coefficient.

4. The gear digital design method according to any one of claims 1 or 2, characterized in that: The shaping includes tooth profile shaping and tooth direction shaping. The tooth profile shaping includes at least K shaping and parabola shaping, and the tooth direction shaping includes at least drum shaping and helix shaping.

5. The gear digital design method according to any one of claims 1 or 2, characterized in that: The strength judgment includes at least contact strength, bending strength and bonding strength.

6. A gear digital design system, characterized in that: Including user UI interface, application layer, gear database layer and cloud platform infrastructure; The user UI interface is used to realize the interaction between the application layer and the user; The application layer includes a gear design module, a gear parameter optimization module and a user management module, wherein the gear design module is used to execute steps S1-S4 of the gear digital design method according to any one of claims 1-5; the gear parameter optimization module is used to execute steps S5-S7 of the gear digital design method according to any one of claims 1-5; and the user management module is used to manage user information; The gear database layer includes the following databases: material library, heat treatment library, strengthening library, SN curve library, tool library, three-dimensional model library and simulation model library; the material library is used to provide material data, the heat treatment library is used to provide heat treatment data, the strengthening library is used to provide strengthening process data, the SN curve library is used to provide SN curves, the tool library is used to provide tool data, the three-dimensional model library is used to provide three-dimensional models, and the simulation model library is used to provide simulation models; The cloud platform infrastructure is used to call various databases of the gear database layer and send them to the application layer, as well as store gear design reports.

Images