Gear transmission design system based on cloud platform and design method thereof

Abstract

The invention discloses a gear transmission design system based on a cloud platform and a design method thereof, relates to the technical field of gear transmission software, and aims to solve the technical problem of low transmission gear design efficiency. According to the technical scheme, the gear transmission design system is characterized by comprising a functional area, an input area, a calculation module and an information display module, and the input area comprises a basic parameter input module, an intensity checking module used for processing input information, an automatic parameter generation module and a parameter optimization module. The invention aims to provide a gear transmission design system based on a cloud platform and a design method thereof.

Description

Technical Field

[0001] The present invention relates to the technical field of gear transmission software, and more specifically, to a gear transmission design system and a design method thereof based on a cloud platform. Background Art

[0002] Although industrial software has become a key competitive advantage in the new industrial revolution, the limitations of traditional industrial software are becoming increasingly prominent. These limitations are mainly reflected in its complex architecture, cumbersome architecture design, high costs, tight coupling between functions, long development cycles, and complex updates and maintenance. These problems make industrial software face many challenges during use and limit its performance and functionality.

[0003] When designers design a gear transmission system, because the gear sizes vary, they always need to perform tedious input design each time they design, which wastes a lot of time when designing the gear size. In addition, there is a certain relationship between the various parameters, so it is also very important to constrain the parameter input. The disadvantages of traditional industrial software design are becoming more and more obvious, which brings great inconvenience to actual use.

[0004] Therefore, a new technical solution is urgently needed to solve the above technical problems. Summary of the invention

[0005] In view of the deficiencies in the prior art, the object of the present invention is to provide a gear transmission design system and a design method thereof based on a cloud platform.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions: a gear transmission design system based on a cloud platform and a design method thereof, the gear transmission design system comprising a function area, an input area, a calculation module and an information display module, the input area comprising a basic parameter input module and a strength verification module for processing input information, a parameter automatic generation module and a parameter optimization module;

[0007] The design method comprises the following steps:

[0008] When the basic gear parameters such as m, a, z, T, P, i are known, the following steps are included:

[0009] S1.1, parameter verification and analysis: the user inputs basic parameters through the input module, and the calculation module calculates these basic parameters and performs verification and analysis;

[0010] S1.2, gear parameter calculation: if the parameter verification analysis in step S1.1 passes, the parameter automatic generation module generates other gear parameters; if the verification fails, return to step S1.1 to re-determine and input basic parameters;

[0011] S1.3, check strength calculation: check the strength calculation of the gear parameters obtained in step S1.2 through the strength check module;

[0012] S1.4, generate result report: if the check strength of the gear parameters in step S1.3 meets the requirements, then generate a result report based on the gear parameters, and the gear can be processed and produced based on the result report; if the check strength of the gear parameters in step S1.3 does not meet the requirements, return to step S1.1;

[0013] When the ranges of parameters such as m, z, a, b, and i are known, the following steps are included:

[0014] S2.1. Automatically generate multiple sets of gear parameters: The user inputs basic parameters through the fuzzy input module, and the parameter automatic generation module automatically generates multiple sets of gear parameters that meet the requirements;

[0015] S2.2, parameter selection and optimization: select one or more groups of gear parameters from the multiple groups of gear parameters in step S2.1, optimize these gear parameters through the parameter optimization module, and select the best gear parameters;

[0016] S2.3, generate result report: generate result report and gear processing drawing according to the gear parameters selected in step S2.2, and process and produce the gear according to the processing drawing.

[0017] The present invention is further configured as follows: in step S1.1, for the conditions such as the displacement coefficient x, effective tooth width b, helix angle β, etc. input by the user, it is necessary to impose corresponding constraints on these data, and prompt the user to adjust and input the basic parameters.

[0018] The present invention is further configured as follows: in order to ensure that the gear pairs can mesh correctly and transmit continuously, the end face overlap ε of the gears is designed in the gear transmission system. α Need to meet:

[0019]

[0020] In order to ensure that the gear does not undercut during machining, the displacement coefficient x in the gear transmission system must be designed to meet the following requirements:

[0021]

[0022] The present invention is further configured as follows: when a pair of gears are working, in order to avoid interference of excessive curves during meshing, the conditions for no interference between the large and small gears in the gear transmission system are as follows:

[0023]

[0024] The present invention is further configured as follows: when designing a gear, in order to ensure the strength of the tooth top of the gear during transmission, the tooth thickness of the tooth top circle cannot be too thin, and the following conditions must be met in the gear transmission system:

[0025]

[0026] The present invention is further configured that: if the gear slip ratio is too large, the tooth surface will be severely worn, resulting in gear failure. Therefore, the gear transmission system needs to be designed to meet the slip ratio of less than or equal to 2.5.

[0027] η≤2.5.

[0028] The present invention is further configured as follows: in order to allow the gear pair to achieve high-precision meshing during transmission, the displacement coefficient x should satisfy the following requirements during design:

[0029]

[0030] The present invention is further configured as follows: in order to prevent the impact caused by the change in the center distance, the gear top clearance must be greater than or equal to the module of 0.1:

[0031] c≥0.1m n .

[0032] The present invention is further configured as follows: for the effective tooth width b, when defining the value range of the effective tooth width (b) of the meshing gear, ±10% of the effective tooth width of the two meshing gears is taken as the optimal parameter; for the parameter helix angle β, the change of its parameter affects whether the gear pair can mesh normally, and specifically includes three factors to define its constraint conditions:

[0033] 1). Define the gear backlash condition, the gear normal backlash is:

[0034] j bn =j bt ·cosβ b

[0035] 2). The base circle of the gear remains unchanged, and the pressure angle α n Changes with the helix angle β:

[0036]

[0037] 3). Axial contact ratio of involute helical gears ε β :

[0038]

[0039] The present invention is further configured as follows: in step S2.2, the parameter optimization module uses a genetic algorithm to optimize the objective function, firstly defining the variables, then designing the optimization objective function, and finally designing the constraint conditions, and the optimization objective function is a fitness function, that is:

[0040] F(X)=x 1 P v +x 2 S H1 +x 3 S F1 +x 4 S H2 +x 5 S F2

[0041] Among them, F is the fitness function value vector, where x 1 、x 2 、x 3 、x 4 is the custom weight coefficient, P v is the loss efficiency of gear transmission, S H1 , S F1 is the safety factor of the pinion tooth root and tooth surface, S H2 , S F2 is the safety factor of the tooth root and tooth surface of the large gear.

[0042] The present invention has the following beneficial effects: the present application has the functions of creating new parts, calculating gear geometry, displaying geometric models, checking and analyzing gear parameters, and automatically generating gear parameters based on genetic algorithms. When inputting parameters, the system verifies the feasibility of parameters. In the parameter automatic generation module, in order to obtain the optimal set of gear parameters from multiple sets of data, the present system invention defines variables, optimization objective functions, and constraints based on genetic algorithms, and finally obtains the optimal set of gear parameters. The use of genetic algorithms to optimize and select multiple sets of gear parameters greatly saves the design of gear parameters and improves the efficiency of designers in gear parameter design. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic block diagram of the overall structure of specific embodiment 1;

[0044] Figure 2 It is a schematic diagram of the design process of specific embodiment 2;

[0045] Figure 3 This is a schematic diagram of the main interface of the system of this application;

[0046] Figure 4 This is a schematic diagram of the functional interface of the automatic generation module for application parameters;

[0047] Figure 5 It is an iterative diagram for optimizing multiple sets of gear parameters based on genetic algorithm in this application;

[0048] Figure 6This is the iterative result of optimizing multiple sets of gear parameters based on genetic algorithm in this application. DETAILED DESCRIPTION

[0049] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0050] The same parts are denoted by the same reference numerals. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the drawings, and the words "bottom" and "top", "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively. Specific embodiment 1:

[0052] like Figure 1 As shown, a gear transmission design system based on a cloud platform includes a function area, an input area, a calculation module and an information display module;

[0053] The functional area includes a new gear module, a gear addition, deletion, modification and query module, a data storage module and a data file extraction module;

[0054] The input area includes a basic parameter input module, a strength verification module for processing input information, a parameter automatic generation module and a parameter optimization module;

[0055] The calculation modules include basic parameter calculation module, contact fatigue strength calculation module, tooth thickness and tooth clearance calculation module, safety factor calculation module, and life calculation module;

[0056] The information display module includes a geometric image generation module and a gear information generation module, which are used to generate the geometric image and parameter information of the gear. Specific embodiment 2:

[0058] like Figure 2 As shown, a design method for a gear transmission design system includes the following steps:

[0059] When the parameters such as m, a, z, T, P, i are known, the following steps are included:

[0060] S1.1, parameter verification analysis: users input basic parameters through the basic parameter input module, and calculate the basic parameters through the contact fatigue strength calculation module, tooth thickness and tooth clearance calculation module, safety factor calculation module, and life calculation module in the calculation module. At the same time, corresponding constraints are imposed on the conditions such as displacement coefficient x, tooth width b, helix angle β, etc., and verification analysis is performed, and the user is prompted to adjust the basic parameters.

[0061] S1.2, gear parameter calculation: if the check analysis in step S1.1 is passed, the gear parameters of the gear are generated through the parameter automatic generation module; if the check analysis in step S1.1 is not passed, return to step S1.1 to re-determine and input the gear parameters;

[0062] S1.3, check strength calculation: check the strength calculation of the gear parameters obtained in step S1.2 through the strength check module;

[0063] S1.4, generate result report: if the strength check in step S1.3 meets the requirements, generate result report according to the gear parameters, and process the gear according to the result report; if the strength check in step S1.3 does not meet the requirements, return to step S1.1;

[0064] When the ranges of parameters such as m, z, a, b, and i are known, the following steps are included:

[0065] S2.1. Automatically generate multiple sets of gear parameters: The user fuzzily inputs basic parameters through the basic parameter input module, and the parameter automatic generation module automatically generates multiple sets of gear parameters;

[0066] S2.2, parameter selection and optimization: select one or more groups of gear parameters from the multiple groups of gear parameters in step S2.1, and optimize these gear parameters through the parameter optimization module;

[0067] S2.3, generate result report: generate result report according to the gear parameters selected in step S2.2, and process and produce the gear according to the result report.

[0068] In step S1.1, for the modification coefficient x, effective tooth width b, helix angle β and other conditions input by the user, it is necessary to impose corresponding constraints on these data, and prompt the user to adjust the coefficient through the information display module. For the modification coefficient x, the system defines the following constraints: To ensure that the gear pair can mesh correctly and transmit continuously, the end face overlap ε of the gear is designed in the gear transmission system α Need to meet:

[0069]

[0070] in,

[0071]

[0072] In order to ensure that the gear does not undercut during machining, the displacement coefficient x in the gear transmission system must be designed to meet the following requirements:

[0073]

[0074] Among them, the minimum number of teeth to avoid undercutting is:

[0075]

[0076] When a pair of gears are working, in order to avoid interference of excessive curves during meshing, the gear transmission system needs to design the displacement coefficient x to meet the conditions that the large and small gears do not interfere with each other:

[0077]

[0078] When designing gears, in order to ensure the strength of the gear tooth top during transmission, the tooth thickness of the tooth top circle cannot be too thin. In the gear transmission system, the following conditions must be met:

[0079]

[0080] If the gear slip ratio is too large, the tooth surface will be severely worn, resulting in gear failure. Therefore, the gear transmission system needs to be designed to meet the slip ratio of less than or equal to 2.5:

[0081] η≤2.5;

[0082] in,

[0083]

[0084] In order to achieve high-precision meshing of the gear pair during transmission, the displacement coefficient x must meet the following requirements during design:

[0085]

[0086] To prevent the impact caused by the change of center distance, the gear top clearance must be greater than or equal to the module of 0.1:

[0087] c≥0.1m n ;

[0088] c=r a1 +r f2 -a;

[0089]

[0090] For the effective tooth width b, the load-bearing capacity of the gears in meshing needs to be considered. The wider the effective tooth width b, the more uneven the tooth load distribution will be, which will increase the transmission error. The narrower the effective tooth width b, the premature failure of the gear will occur due to insufficient gear strength. Considering the limited variation space of the effective tooth width b, in order to avoid interference with other adjacent parts, when defining the value range of the effective tooth width b of the meshing gears, ±10% of the effective tooth width of the two meshing gears is taken as the optimal parameter.

[0091] For the parameter helix angle β, the change of its parameter affects whether the gear pair can mesh normally. Specifically, three factors are used to define its constraints:

[0092] 1). The gear normal backlash is the gap formed by the non-working tooth surfaces when the two gears are in contact when the gear pair is working. In practice, there are many factors that require a certain amount of backlash to be left when the gear pair is assembled to ensure normal operation. The gear backlash conditions are defined as follows:

[0093] j bn =j bt ·cosβ b ;

[0094] Among them, when the gear pair is meshing, the gear normal backlash gear end face normal backlash j bt It can be divided into the gear teeth of the driving wheel in the gear grooves of the driven wheel and the gear teeth of the driven wheel in the gear grooves of the driving wheel:

[0095] j bt =e bt2 -s bt1 +2(r bt1 +r bt2 )·invα wt ;

[0096] j bt =e bt1 -s bt2 +2(r bt1 +r bt2 )·invα wt .

[0097] 2). The base circle of the gear remains unchanged, and the pressure angle α n Changes with the helix angle β:

[0098]

[0099] 3). Axial contact ratio of involute helical gears ε β :

[0100]

[0101] Through the design of the above gear macro parameters, the system performs transmission error analysis on the displacement coefficient x, tooth width b, and helix angle β to ensure that the parameters input by the user can improve the meshing and transmission performance of the gear.

[0102] In step S2.1, the gear parameters are fuzzy input, such as the transmission ratio i, the normal modulus m n , helix angle β, displacement coefficient x and other parameters are input into their ranges, and the system will check and calculate these parameters. Finally, hundreds or thousands of sets of gear parameters and their calculated failure, safety factor and other results can be generated. Users can compare these parameters and select one set of parameters for processing design. The results are as follows: Figure 4 As shown. Define variables, including the modulus m n , normal pressure angle α n , helix angle β, center distance a, number of teeth z, etc. So the design variable is X = [m n ,α n ,β,a,z,…], all of whose values ​​are range values.

[0103] In step S2.2, the parameter optimization module uses a genetic algorithm to optimize the objective function. First, the variables are defined, then the optimization objective function is designed, and finally the constraints are designed. The optimization objective function is the fitness function. According to the requirements of the gear transmission design, the gear safety factor and loss efficiency are used as the optimization objective function. Its mathematical expression is: F(X) = x 1 P v +x 2 S H1 +x 3 S F1 +x 4 S H2 +x 5 S F2 .

[0104] Among them, F is the fitness function value vector, where x 1 、x 2 、x 3 、x 4 is the custom weight coefficient, P v is the loss efficiency of gear transmission, S H1 , S F1 is the safety factor of the pinion tooth root and tooth surface, S H2 , S F2 is the safety factor of the tooth root and tooth surface of the large gear.

[0105] The formula for calculating the tooth surface safety factor is:

[0106] Calculation of tooth contact stress σ H , where the contact stresses of the large and small gears are as follows:

[0107]

[0108] The formula for calculating the tooth root safety factor is:

[0109] Calculation of tooth root bending stress σ F :σ F =σ F0 K A K v K Fβ K Fa , basic value of root stress:

[0110] The meshing performance of the gear is improved by constraining the gear macro parameters, including the displacement coefficient x, the effective tooth width b and the helix angle β.

[0111] The gear safety factor affects the gear life cycle and is generally designed to be greater than or equal to 1.2, and is most suitable around 1.2. min = {(S F -1.2) 2},min={(S H -1.2) 2}.

[0112] Through the selection, crossover and mutation operations of genetic algorithm, the objective function is optimized and finally the optimal gear group parameters are obtained.

[0113] Figure 5 is the population iteration graph of the optimization objective, Figure 6 This is the optimal gear parameter result after optimization.

[0114] Depend on Figure 5 and Figure 6 It can be seen that the optimized gear pair has the lowest loss efficiency and the highest safety factor in meshing transmission, which meets its optimization conditions, verifying the effectiveness and rationality of the optimization method. The optimized gear pair has the lowest loss efficiency and the highest safety factor in meshing transmission, which meets its optimization conditions, verifying the effectiveness and rationality of the optimization method.

[0115] The specific embodiments are merely explanations of the present invention and are not limitations of the present invention. After reading this specification, those skilled in the art may make modifications to the embodiments without any creative contribution as needed. However, such modifications are protected by the patent law as long as they are within the scope of the claims of the present invention.

Claims

1. A gear transmission design system and design method based on a cloud platform, characterized in that: The gear transmission design system includes a function area, an input area, a calculation module and an information display module. The input area includes a basic parameter input module and a strength verification module for processing input information, a parameter automatic generation module and a parameter optimization module. The design method comprises the following steps: When the basic gear parameters such as m, a, z, T, P, i are known, the following steps are included: S1.1, parameter verification and analysis: the user inputs basic parameters through the basic parameter input module, and the calculation module calculates these basic parameters and performs verification and analysis; S1.2, gear parameter calculation: if the parameter verification analysis in step S1.1 is passed, the parameter automatic generation module generates other gear parameters; If the parameter verification fails, return to step S1.1 to re-determine and input the basic parameters; S1.3, check strength calculation: check the strength calculation of the gear parameters obtained in step S1.2 through the strength check module; S1.4, generate result report: if the check strength of the gear parameters in step S1.3 meets the requirements, then generate a result report based on the gear parameters, and the gear can be processed and produced based on the result report; if the check strength of the gear parameters in step S1.3 does not meet the requirements, return to step S1.1; When the ranges of parameters such as m, z, a, b, and i are known, the following steps are included: S2.

1. Automatically generate multiple sets of gear parameters: The user inputs basic parameters through the basic parameter input module, and the parameter automatic generation module automatically generates multiple sets of gear parameters that meet the requirements; S2.2, parameter selection and optimization: select one or more groups of gear parameters from the multiple groups of gear parameters in step S2.1, optimize these gear parameters through the parameter optimization module, and select the best gear parameters; S2.3, generate result report: generate result report and gear processing drawing according to the gear parameters selected in step S2.2, and process and produce the gear according to the processing drawing.

2. The cloud platform-based gear transmission design system and design method according to claim 1, characterized in that: In step S1.1, for the conditions input by the user, such as the displacement coefficient x, effective tooth width b, helix angle β, etc., it is necessary to impose corresponding constraints on these data, and prompt the user to adjust and input the basic parameters.

3. The cloud platform-based gear transmission design system and design method according to claim 2, characterized in that: In order to ensure that the gear pairs can mesh correctly and transmit continuously, the end face overlap of the gears is designed in the gear transmission system. α Need to meet: In order to ensure that the gear does not undercut during machining, the displacement coefficient x in the gear transmission system must be designed to meet the following requirements:

4. The cloud platform-based gear transmission design system and design method according to claim 3, characterized in that: When a pair of gears are working, in order to avoid interference of excessive curves during meshing, the conditions for no interference between large and small gears in the gear transmission system are:

5. The cloud platform-based gear transmission design system and design method according to claim 4, characterized in that: When designing gears, in order to ensure the strength of the gear tooth top during transmission, the tooth thickness of the tooth top circle cannot be too thin. In the gear transmission system, the following conditions must be met:

6. The cloud platform-based gear transmission design system and design method according to claim 5, characterized in that: If the gear slip ratio is too large, the tooth surface will be severely worn, resulting in gear failure. Therefore, the gear transmission system needs to be designed to meet the slip ratio of less than or equal to 2.5: η≤2.

5.

7. The cloud platform-based gear transmission design system and design method according to claim 5, characterized in that: In order to achieve high-precision meshing of the gear pair during transmission, the displacement coefficient x must meet the following requirements during design:

8. The cloud platform-based gear transmission design system and design method according to claim 7, characterized in that: To prevent the impact caused by the change of center distance, the gear top clearance must be greater than or equal to the module of 0.1: c≥0.1m n 。 9. The cloud platform-based gear transmission design system and design method according to claim 2, characterized in that: For the effective tooth width b, when defining the value range of the effective tooth width (b) of the meshing gear, ±10% of the effective tooth width of the two meshing gears is taken as the optimal parameter; for the parameter helix angle β, the change of its parameter affects whether the gear pair can mesh normally, and specifically includes three factors to define its constraints: 1). Define the gear backlash condition, the gear normal backlash is: I bn =j bt ·cosβ b 2). The base circle of the gear remains unchanged, and the pressure angle α n Changes with the helix angle β: 3). Axial contact ratio of involute helical gears ε β :

10. The cloud platform-based gear transmission design system and design method according to claim 1, characterized in that: In step S2.2, the parameter optimization module uses a genetic algorithm to optimize the objective function. First, the variables are defined, then the optimization objective function is designed, and finally the constraint conditions are designed. The optimization objective function is a fitness function, that is: F(X)=x1P v +x2S H1 +x3S F1 +x4S H2 +x5S F2 Among them, F is the fitness function value vector, among which x1, x2, x3, x4 are custom weight coefficients, P v is the loss efficiency of gear transmission, S H1 , S F1 is the safety factor of the pinion tooth root and tooth surface, S H2 , S F2 is the safety factor of the tooth root and tooth surface of the large gear.

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