Calculation method, system and device for gearbox gear strength design requirement and medium
By collecting data from commercial vehicle driving systems, applying linear damage theory and normal distribution inspection, the B10 reliability design requirements of gearbox gear are calculated, which solves the problem of inaccurate design in the existing technology and realizes the gear strength Scientific and economical design ensures the reliability and durability of the gearbox.
Patent Information
- Application Number
- CN202411271792.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-11
- Publication Date
- 2024-12-13
AI Technical Summary
The existing technology lacks systematic research and unified standards in the design of gear strength of transmissions, making it difficult to accurately reflect complex working conditions, and traditional reference design methods are difficult to meet the current and future market needs.
By collecting gearbox working status data from the driving system of commercial vehicle manufacturers, generating the original load spectrum, and using scientific methods such as linear damage theory and normal distribution inspection, the B10 reliability design requirements for gear gear is calculated to ensure gear strength safety and economical.
Achieve a more accurate and scientific gear strength design, improve the design accuracy and reliability, and is suitable for different design requirements and working conditions, avoiding waste of materials or insufficient performance caused by excessive or weak design The problem.
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Figure CN119129105A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of gearbox gear design, and more particularly to a calculation method, system, device and medium for gearbox gear strength design requirements. Background Art
[0002] With the rapid development of the automotive industry, especially the continuous progress in the field of commercial vehicles, the performance and reliability requirements of gearboxes are increasing day by day. As a key component of vehicle power transmission, the strength design of its internal gears is directly related to the power, economy and service life of the vehicle. Gearbox gear strength design is one of the key tasks in the forward vehicle development of gearboxes. Accurate numerical gearbox gear strength design requirements can take into account the safety and economy of gear strength. Therefore, the accuracy and scientificity of gearbox gear strength design have become the core tasks in the forward development of gearboxes.
[0003] At present, in the field of gearbox strength design, there is a lack of systematic research and unified standards for the formulation of numerical design requirements. Existing technical solutions mainly rely on existing standards (such as fatigue test outlines) and other manufacturers' test outlines for reference design. However, these outlines often lack detailed considerations for specific vehicle models, working conditions and the strength of the gearbox itself, making it difficult to accurately reflect the complex and changing conditions in actual use.
[0004] With the continuous expansion of the commercial vehicle market and the continuous innovation of technology, the working conditions faced by gearboxes are becoming increasingly complex, and the requirements for gear strength are becoming higher and higher. The traditional reference design method can no longer meet the needs of the current and future markets, and it is urgent to develop a more accurate and scientific gearbox gear strength design calculation method. Summary of the invention
[0005] In view of the above problems, the purpose of the present invention is to provide a calculation method, system, device and medium for the design requirements of gearbox gear strength, so as to generate accurate numerical gearbox gear strength design requirements while taking into account both the safety and economy of gear strength.
[0006] In order to achieve the above object, the present invention is implemented through the following technical solutions: In a first aspect, the present invention discloses a method for calculating the strength design requirements of a gearbox gear, comprising the following steps: S1: Collecting gearbox working status data from the driving system of commercial vehicle manufacturers, sorting and generating the original load spectrum of a single vehicle; the gearbox working status data includes: speed, torque, vehicle speed, gear position; S2: Convert the original load spectrum into the load spectrum at the specified speed by converting the torque at different speeds into the torque at the specified speed; S3: According to the linear damage theory, the number of full torque engagements of a single vehicle at a specified speed is obtained based on the load spectrum at a specified speed, and according to the design mileage of the vehicle, the number of full torque engagements of a single vehicle gearbox at a specified speed is converted into the number of full torque engagements of each gear of the single vehicle gearbox; S4: Selecting vehicles in batches, calculating the number of times the gearboxes of the vehicles in batches are fully torqued according to steps S1 to S3, and performing a normal distribution test on the numbers; S5: Use the skewness-peak test method to test the number of full torque engagements of the gearboxes of batch vehicles, identify the outlier data, and delete them; S6: Based on the full torque engagement times of each gear of the current batch of complete vehicles, solve the full torque engagement times that achieve B10 reliability in the corresponding normal distribution, and convert it into the B10 reliability design requirement value of the gear strength of the gearbox based on the reinforcement coefficient.
[0007] Further, the step S1 comprises: Collect the gearbox working status data, sampling interval time, fuel consumption information, vehicle speed information and throttle information from the driving system of the commercial vehicle manufacturer as the original data; Delete the data items with zero speed, torque and gear position in the original data; Sort them in ascending order of gear positions to generate the original load spectrum of a single vehicle.
[0008] Furthermore, the torque at different speeds is converted to the torque at a specified speed according to the following formula: : ; ; ; ; ; in, is the constant mesh speed ratio, is the design speed, The speed of each data point, is the pitch diameter of the driving gear, To set the gear linear speed at the speed, is the gear linear speed at each data point, Speed The torque under is the contact coefficient at a set speed, The contact coefficient at each data point speed, and The units are all percentages of the corresponding rated torque.
[0009] Further, the step S3 comprises: Get the engine torque value corresponding to the stress value of the infinite fatigue point of the SN curve ; when When it is less than 100, determine whether < ; If so, according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; If not, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; when When it is greater than or equal to 100, determine whether < ; If so, according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; If not, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; in, is the sampling time interval, and All are curve characteristic parameters; According to the design mileage of the vehicle of 500,000 kilometers, the full torque engagement times of the single vehicle gearbox at a specified speed are converted into the full torque engagement times of the single vehicle gearbox under 8 gears.
[0010] Further, the step S4 comprises: At least 100 vehicles are selected in batches, and the number of full torque engagements of each gear of the gearbox of the batch of vehicles is calculated according to steps S1 to S3, and the calculation results are recorded in a sampling data table; the sampling data table records the unique serial number of each vehicle and the number of full torque engagements of each vehicle in 8 gears; Based on the full torque engagement times of each gear of the batch vehicle, 8 coordinate graphs are generated; In each coordinate diagram, the logarithm of the full torque meshing times is taken as the abscissa of the data point, and the median rank Pi is taken as the ordinate of the data point; The median rank The calculation formula is as follows: ; Among them, i is the serial number value; n is the total number of samples; Based on each coordinate graph, each data point is fitted. If each data point can form a straight line, the full torque engagement number corresponding to the coordinate graph follows a normal distribution.
[0011] Further, the step S5 includes the following sub-steps: S51: converting the full torque meshing times in the sampling data table into logarithms as sample data, and generating a sample data table; S52: Based on the sample data table, for each gear, the value of the kurtosis statistic bk is calculated by the following formula:
[0012] in, is the sample data of vehicle number i, is the mean of the sample data; S53: Setting the detection level α and the critical value b1-α(n); S54: Determine whether >b1-α(n); If yes, then execute step S55; if no, then determine that no outlier is found; S55: Determine the value farthest from the mean as an outlier, delete the outlier and related data, update the sample data table and go to step S52.
[0013] Further, the step S6 comprises: Based on the updated sample data table, update the corresponding sampling data table; Based on the sample data table, for each gear, the average number of full torque engagements for each gear is calculated using the following formula: and the sample standard deviation : ; ; in, is the number of full torque engagements of vehicle number i; For each gear, the number of full torque engagements required to achieve B10 reliability is calculated using the following formula: : ; Among them, 0.9 is 90% reliability, Parameters retrieved from the normal distribution cumulative distribution function table; For each gear, according to the formula Calculate the B10 reliability design requirement value of the gearbox gear strength .
[0014] In a second aspect, the present invention further discloses a calculation system for gearbox gear strength design requirements, comprising: The original load spectrum generation module is used to collect the working state data of the gearbox from the driving system of the commercial vehicle manufacturer, and generate the original load spectrum of a single vehicle after sorting; the working state data of the gearbox includes: speed, torque, vehicle speed, gear position; A load spectrum conversion module, used for converting the original load spectrum into a load spectrum at a specified speed by converting the torque at different speeds into the torque at a specified speed; The full torque meshing times generation module is used to obtain the full torque meshing times of a single vehicle at a specified speed based on the load spectrum at a specified speed according to the linear damage theory, and convert the full torque meshing times of a single vehicle gearbox at a specified speed into the full torque meshing times of each gear of the single vehicle gearbox according to the design mileage of the vehicle; The sampling module is used to select vehicles in batches, calculate the full torque engagement times of each gear of the gearbox of the batch vehicles by using the original load spectrum generation module, the load spectrum conversion module and the full torque engagement times generation module, and perform a normal distribution test on them; An outlier data identification module is used to use the skewness-peak test method to test the number of full torque engagements of the gearboxes of batch vehicles, identify the outlier data, and delete them; The design requirement value calculation module is used to solve the full torque engagement number that achieves B10 reliability in the corresponding normal distribution based on the full torque engagement number of each gear of the current batch of complete vehicles, and convert it into the B10 reliability design requirement value of the gearbox gear strength based on the reinforcement coefficient.
[0015] In a third aspect, the present invention further discloses a device for calculating the strength design requirements of a gearbox gear, comprising: A memory for storing a calculation program for the strength design requirements of the gearbox gears; A processor is used to implement the steps of the method for calculating the strength design requirements of the gearbox gear as described in any one of the above items when executing the calculation program of the strength design requirements of the gearbox gear.
[0016] In a fourth aspect, the present invention further discloses a readable storage medium, on which is stored a calculation program for the gearbox gear strength design requirements. When the calculation program for the gearbox gear strength design requirements is executed by a processor, the steps of the calculation method for the gearbox gear strength design requirements as described in any one of the above items are implemented.
[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects gearbox operating status data from the actual driving system of commercial vehicle manufacturers to ensure the authenticity and accuracy of the calculation basis. This method based on actual operating data is closer to the actual working conditions than traditional theoretical calculations or empirical estimates, thereby improving the accuracy of the design.
[0018] 2. The entire calculation process provided by the present invention covers all aspects of gearbox gear strength design from data collection, collation, conversion to determination of strength requirements. From the generation of the original load spectrum to the load spectrum conversion at a specified speed, and then to the calculation of the number of full torque engagements based on linear damage theory, each step is closely linked to form a complete calculation system.
[0019] 3. The present invention adopts a variety of scientific methods and models, such as linear damage theory, SN curve, normal distribution test, skewness-peak test method, etc., to ensure the scientificity and rationality of the calculation. In particular, outlier data are identified and deleted through normal distribution test and skewness-peak test method, which improves the reliability and representativeness of the data.
[0020] 4. The present invention is not only applicable to specific types of gearboxes and commercial vehicles, but can also be adjusted and optimized according to different design requirements and working conditions. For example, calculations can be performed based on different design speeds, design mileage and other parameters to meet different design requirements.
[0021] 5. The present invention selects whole vehicles for calculation in batches and uses computers to automatically process data, which greatly improves the calculation efficiency. At the same time, based on the calculation results of actual operation data, the strength design requirements of the gearbox gears can be determined more accurately, avoiding material waste or insufficient performance caused by over-strong or under-weak design, thereby improving economic efficiency.
[0022] 6. The present invention extracts and analyzes the working state of the gearbox from actual driving data, scientifically calculates and determines the B10 reliability design requirement value of the gearbox gear strength, and provides reliable guarantee for the design, manufacture and use of the gearbox. By meeting this requirement value, it can be ensured that the gearbox has good reliability and durability during long-term use.
[0023] It can be seen that compared with the prior art, the present invention has outstanding substantive features and significant progress, and the beneficial effects of its implementation are also obvious. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0025] Figure 1 It is a method flow chart of a specific implementation mode of the present invention.
[0026] Figure 2 It is a system structure diagram of a specific implementation mode of the present invention.
[0027] In the figure, 1. original load spectrum generation module; 2. load spectrum conversion module; 3. full torque engagement times generation module; 4. sampling module; 5. outlier data identification module; 6. design requirement value calculation module. DETAILED DESCRIPTION
[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of 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.
[0029] See also Figure 1 As shown, this embodiment provides a method for calculating the strength design requirements of a gearbox gear, comprising the following steps: S1: Collecting gearbox working status data from the driving system of commercial vehicle manufacturers, sorting and generating the original load spectrum of a single vehicle; the gearbox working status data includes: rotation speed, torque, vehicle speed, gear position.
[0030] In a specific implementation, firstly, the gearbox working status data, sampling interval time, fuel consumption information, vehicle speed information and throttle information are collected from the driving system of the commercial vehicle manufacturer as the original data. Then, the data items with zero speed, torque and gear position in the original data are deleted. Finally, the original load spectrum of a single vehicle is generated by sorting in ascending order of gear position.
[0031] As an example, the data exported by the intelligent driving system (this type of driving system has been popularized in major commercial vehicle manufacturers, and the collected data items include speed, torque, vehicle speed, gear and other data) includes speed, torque percentage, gear and sampling interval, as well as fuel consumption, vehicle speed, throttle and other information.
[0032] After sorting the original data, delete the data with speed, torque, and gear position of zero, sort the data in the format shown in the left table, and determine the sampling interval and vehicle mileage of the collected data. The original load spectrum and other parameters used as calculation input. The original load spectrum data of a single vehicle is shown in Table 1. It should be noted that in Table 1, the sampling data with stress below 150Mpa has been deleted.
[0033] Table 1: Original load spectrum of a single vehicle
[0034] S2: The original load spectrum is converted into a load spectrum at a specified speed by converting the torque at different speeds into the torque at a specified speed.
[0035] In a specific implementation, the torque at different speeds is converted to the torque at a specified speed according to the following formula: : ; ; ; ; ; in, is the constant mesh speed ratio, is the design speed, The speed of each data point, is the pitch diameter of the driving gear, To set the gear linear speed at the speed, is the gear linear speed at each data point, Speed The torque under is the contact coefficient at a set speed, The contact coefficient at each data point speed, and The units are all percentages of the corresponding rated torque.
[0036] S3: According to the linear damage theory, the number of full torque engagements of a single vehicle at a specified speed is obtained based on the load spectrum at a specified speed, and according to the design mileage of the vehicle, the number of full torque engagements of a single vehicle gearbox at a specified speed is converted into the number of full torque engagements of each gear of the single vehicle gearbox.
[0037] In a specific implementation, a calculation formula for the full torque meshing times of each gear is obtained based on the linear damage theory and the gear SN curve. The specific calculation process is as follows: First, obtain the engine torque value corresponding to the stress value of the infinite fatigue point of the SN curve .
[0038] when When it is less than 100, determine whether < If so, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed If not, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed .
[0039] when When it is greater than or equal to 100, determine whether < If so, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed If not, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; in, is the sampling time interval, and are all curve characteristic parameters; specifically, =8.7631, below the inflection point =19.5784.
[0040] It should be noted that the above steps can be used to calculate the number of full torque engagements of each gear of the gearbox. Specifically, first, the original data in Table 1 is substituted into the formula of step S3 to calculate the number of full torque cycles of each data point. ; then The full torque engagement times of each gear are obtained by summing up each gear.
[0041] At this time, according to the full torque engagement times of each gear, after extrapolation according to the design mileage of the vehicle, the original load spectrum of the single vehicle is converted into the full torque engagement times of each gear under the design conditions of the single vehicle. For example, according to the design mileage of the vehicle is 500,000 kilometers, the full torque engagement times of the single vehicle gearbox at a specified speed is converted into the full torque engagement times of the 8 gears of the single vehicle gearbox. The full torque engagement times of the 8 gears of the single vehicle gearbox are shown in Table 2 below.
[0042] Table 2: Statistics of full torque engagement times of a bicycle gearbox in 8 gears
[0043] S4: Select complete vehicles in batches, calculate the number of full torque engagement times of the gearboxes of the complete vehicles in batches according to steps S1 to S3, and perform a normal distribution test on the numbers.
[0044] In a specific implementation, at least 100 vehicles are first selected in batches, and the number of full torque engagements of each gear of the gearbox of the batch of vehicles is calculated according to steps S1 to S3, and the calculation results are recorded in a sample data table. The sample data table is shown in Table 3, in which the unique serial number of each vehicle and the number of full torque engagements of each vehicle in 8 gears are recorded.
[0045] Table 3: Sampling data table
[0046] According to various technical data, the life of mechanical products usually conforms to the normal distribution. Therefore, at this time, the normal distribution test of the full torque engagement times of batch vehicles should be carried out.
[0047] The process of normal distribution test is as follows: Based on the full torque engagement times of the batch of vehicles in each gear in the sampling data table, a coordinate graph is generated for each gear, and a total of 8 coordinate graphs are generated.
[0048] In each coordinate graph, the logarithm of the full torque meshing times is taken as the horizontal coordinate of the data point, and the median rank Pi is taken as the vertical coordinate of the data point; each data point is plotted on the coordinate graph, and each data point is fitted. If it is a straight line, it follows the normal distribution. Among them, the correlation coefficient is solved using the correl function in EXCEL, and the critical value of the correlation coefficient can be obtained by looking up the table.
[0049] Median rank The calculation formula is as follows: ; Among them, i is the serial number value; n is the total number of samples.
[0050] Table 3 was tested using the normal distribution test described above, and the test results are shown in Table 4 below.
[0051] Table 4: Statistics of normal distribution test results
[0052] Through the above tests, it is proved that the calculation results of the full torque engagement times of the batch of complete vehicles selected this time conform to the normal distribution.
[0053] S5: Use the skewness-peak test method to test the number of full torque engagements of each gear of the gearbox of a batch of vehicles, identify the outlier data, and delete them.
[0054] In a specific implementation, even if the calculation result conforms to the normal distribution, some data still belong to outliers in the distribution due to accidental factors and need to be eliminated. In this step, according to the judgment rule of the unknown standard deviation (the number of outliers is greater than 1), the skewness-peak test method is used to repeatedly test the data. If it does not conform, the outliers are eliminated, and then this process is repeated until the specified conditions are met.
[0055] The specific elimination process includes the following steps: S51: The full torque meshing times in the sampling data table are converted into logarithms as sample data, and a sample data table is generated.
[0056] S52: Based on the sample data table, for each gear, the value of the kurtosis statistic bk is calculated by the following formula:
[0057] in, is the sample data of vehicle number i, is the mean of the sample data; S53: Setting the detection level α and the critical value b1-α(n); S54: Determine whether >b1-α(n); if so, execute step S55; if not, determine that no outlier is found.
[0058] S55: Determine the value farthest from the mean as an outlier, delete the outlier and related data, update the sample data table and go to step S52.
[0059] The updated sample data table is shown in Table 5 below.
[0060] Table 5: Sample data table
[0061] S6: Based on the full torque engagement times of each gear of the current batch of complete vehicles, solve the full torque engagement times that achieve B10 reliability in the corresponding normal distribution, and convert it into the B10 reliability design requirement value of the gear strength of the gearbox based on the reinforcement coefficient.
[0062] In a specific implementation, first, based on the updated sample data table, the corresponding sampling data table is updated.
[0063] Then, based on the sample data table, for each gear, the average number of full torque engagements for each gear is calculated using the following formula: and the sample standard deviation : ; ; in, is the number of full torque engagements of vehicle number i.
[0064] At this time, for each gear, the number of full torque engagements to achieve B10 reliability is calculated according to the following formula: : ; Among them, 0.9 is 90% reliability, Parameters found through the normal distribution cumulative distribution function table.
[0065] Finally, after dividing the number of full torque meshing times under B10 reliability by the strengthening coefficient K (K=3.38), the design requirements of each gear position can be determined. Therefore, for each gear position, according to the formula Calculate the B10 reliability design requirement value of the gearbox gear strength .
[0066] The present invention provides a calculation method for the gear strength design requirements of a gearbox. By extracting and analyzing the working state of the gearbox from actual driving data, the B10 reliability design requirement value of the gearbox gear strength is scientifically calculated and determined, providing reliable guarantees for the design, manufacture and use of the gearbox. By meeting this requirement value, it can be ensured that the gearbox has good reliability and durability during long-term use.
[0067] See also Figure 2 As shown, the present invention also discloses a calculation system for the gear strength design requirements of a gearbox, comprising: an original load spectrum generation module 1, a load spectrum conversion module 2, a full torque engagement number generation module 3, a sampling module 4, an outlier data identification module 5 and a design requirement value calculation module 6. The original load spectrum generating module 1 is used to collect the working state data of the gearbox from the driving system of the commercial vehicle manufacturer, and generate the original load spectrum of a single vehicle after sorting; the working state data of the gearbox includes: rotation speed, torque, vehicle speed, and gear position.
[0068] The load spectrum conversion module 2 is used to convert the original load spectrum into the load spectrum at the specified speed by converting the torque at different speeds into the torque at the specified speed.
[0069] The full torque engagement number generation module 3 is used to obtain the full torque engagement number of a single vehicle at a specified speed based on the load spectrum at a specified speed according to the linear damage theory, and convert the full torque engagement number of a single vehicle gearbox at a specified speed into the full torque engagement number of each gear of the single vehicle gearbox according to the design mileage of the vehicle.
[0070] The sampling module 4 is used to select complete vehicles in batches, and calculate the full torque engagement times of the gearboxes of the complete vehicles in batches by using the original load spectrum generation module 1, the load spectrum conversion module 2 and the full torque engagement times generation module 3, and perform a normal distribution test on them.
[0071] The outlier data identification module 5 is used to use the skewness-peak test method to test the number of full torque engagements of each gear of the gearbox of a batch of vehicles, identify the outlier data, and delete them.
[0072] The design requirement value calculation module 6 is used to solve the full torque meshing number that reaches the B10 reliability in the corresponding normal distribution based on the full torque meshing number of each gear of the current batch of complete vehicles, and convert it into the B10 reliability design requirement value of the gearbox gear strength based on the reinforcement coefficient.
[0073] The specific implementation of the system for calculating the gearbox gear strength design requirements of this embodiment is basically consistent with the specific implementation of the method for calculating the gearbox gear strength design requirements described above, and will not be repeated here.
[0074] The present invention also discloses a device for calculating the strength design requirements of a gearbox gear, comprising a processor and a memory; wherein, when the processor executes a calculation program for the strength design requirements of the gearbox gear stored in the memory, the steps of the method for calculating the strength design requirements of the gearbox gear as described in any one of the above items are implemented.
[0075] Furthermore, the calculation device for the gearbox gear strength design requirement in this embodiment may also include: The input interface is used to obtain the calculation program of the gearbox gear strength design requirements imported from the outside, and save the obtained calculation program of the gearbox gear strength design requirements to the memory, and can also be used to obtain various instructions and parameters transmitted by the external terminal device, and transmit them to the processor, so that the processor can use the above various instructions and parameters to carry out corresponding processing. In this embodiment, the input interface can specifically include but is not limited to a USB interface, a serial interface, a voice input interface, a fingerprint input interface, a hard disk reading interface, etc.
[0076] The output interface is used to output various data generated by the processor to the terminal device connected thereto, so that other terminal devices connected to the output interface can obtain various data generated by the processor. In this embodiment, the output interface may specifically include but is not limited to a USB interface, a serial interface, etc.
[0077] The communication unit is used to establish a remote communication connection between the calculation device of the gearbox gear strength design requirements and the external server, so that the calculation device of the gearbox gear strength design requirements can mount the image file to the external server. In this embodiment, the communication unit may specifically include but is not limited to a remote communication unit based on wireless communication technology or wired communication technology.
[0078] The keyboard is used to obtain various parameter data or instructions input by the user by tapping the keycaps in real time.
[0079] A display for real-time display of relevant information on the calculation process of running the gearbox gear strength design requirements.
[0080] The mouse can be used to assist users in inputting data and simplify user operations.
[0081] The present invention also discloses a readable storage medium, wherein the readable storage medium includes a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable hard disk, a CD-ROM or any other form of storage medium known in the technical field. The readable storage medium stores a calculation program for the strength design requirements of a gearbox gear, and when the calculation program for the strength design requirements of a gearbox gear is executed by a processor, the steps of the calculation method for the strength design requirements of a gearbox gear as described in any one of the above items are implemented.
[0082] In summary, the present invention realizes the generation of accurate numerical design requirements for gearbox gear strength while taking into account both the safety and economy of sufficient gear strength.
[0083] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. As for the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0084] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.
[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or units, which can be electrical, mechanical or other forms.
[0086] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0087] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each module may exist physically separately, or two or more modules may be integrated into one unit.
[0088] Similarly, each processing unit in each embodiment of the present invention may be integrated into one functional module, or each processing unit may exist physically, or two or more processing units may be integrated into one functional module.
[0089] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
[0090] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.
[0091] The calculation method, system, device and readable storage medium for the gearbox gear strength design requirements provided by the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present invention, several improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the scope of protection of the present invention.
Claims
1. A method for calculating the strength design requirements of a gearbox gear, characterized in that: The steps include: S1: Collecting gearbox working status data from the driving system of commercial vehicle manufacturers, sorting and generating the original load spectrum of a single vehicle; the gearbox working status data includes: speed, torque, vehicle speed, gear position; S2: Convert the original load spectrum into the load spectrum at the specified speed by converting the torque at different speeds into the torque at the specified speed; S3: According to the linear damage theory, the number of full torque engagements of a single vehicle at a specified speed is obtained based on the load spectrum at a specified speed, and according to the design mileage of the vehicle, the number of full torque engagements of a single vehicle gearbox at a specified speed is converted into the number of full torque engagements of each gear of the single vehicle gearbox; S4: Selecting vehicles in batches, calculating the number of times the gearboxes of the vehicles in batches are fully torqued according to steps S1 to S3, and performing a normal distribution test on the numbers; S5: Use the skewness-peak test method to test the number of full torque engagements of the gearboxes of batch vehicles, identify the outlier data, and delete them; S6: Based on the full torque engagement times of each gear of the current batch of complete vehicles, solve the full torque engagement times that achieve B10 reliability in the corresponding normal distribution, and convert it into the B10 reliability design requirement value of the gear strength of the gearbox based on the reinforcement coefficient.
2. The calculation method of the gearbox gear strength design requirements according to claim 1 is characterized in that: The step S1 comprises: Collect the gearbox working status data, sampling interval time, fuel consumption information, vehicle speed information and throttle information from the driving system of the commercial vehicle manufacturer as the original data; Delete the data items with zero speed, torque and gear position in the original data; Sort them in ascending order of gear positions to generate the original load spectrum of a single vehicle.
3. The calculation method of the gearbox gear strength design requirements according to claim 1 is characterized in that: The torque at different speeds is converted to the torque at a specified speed according to the following formula : ; ; ; ; ; in, is the constant mesh speed ratio, is the design speed, The speed of each data point, is the pitch diameter of the driving gear, To set the gear linear speed at the speed, is the linear speed of the gear at each data point, Speed The torque under is the contact coefficient at a set speed, The contact coefficient at each data point speed, and The units are all percentages of the corresponding rated torque.
4. The calculation method of the gearbox gear strength design requirements according to claim 3 is characterized in that: The step S3 comprises: Get the engine torque value corresponding to the stress value of the infinite fatigue point of the SN curve ; when When it is less than 100, determine whether < ; If so, according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; If not, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; when When it is greater than or equal to 100, determine whether < ; If so, according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; If not, then according to the formula Calculate the number of full torque engagements per vehicle at a specified speed ; in, is the sampling time interval, and All are curve characteristic parameters; According to the design mileage of the vehicle of 500,000 kilometers, the full torque engagement times of the single vehicle gearbox at a specified speed are converted into the full torque engagement times of the single vehicle gearbox under 8 gears.
5. The calculation method of the gearbox gear strength design requirement according to claim 4 is characterized in that: The step S4 comprises: At least 100 vehicles are selected in batches, and the number of full torque engagements of each gear of the gearbox of the batch of vehicles is calculated according to steps S1 to S3, and the calculation results are recorded in a sampling data table; the sampling data table records the unique serial number of each vehicle and the number of full torque engagements of each vehicle in 8 gears; Based on the full torque engagement times of each gear of the batch vehicle, 8 coordinate graphs are generated; In each coordinate diagram, the logarithm of the full torque meshing times is taken as the abscissa of the data point, and the median rank Pi is taken as the ordinate of the data point; The median rank The calculation formula is as follows: ; Among them, i is the serial number value; n is the total number of samples; Based on each coordinate graph, each data point is fitted. If each data point can form a straight line, the full torque engagement number corresponding to the coordinate graph follows a normal distribution.
6. The calculation method of the gearbox gear strength design requirement according to claim 5, characterized in that: The step S5 comprises the following sub-steps: S51: converting the full torque meshing times in the sampling data table into logarithms as sample data, and generating a sample data table; S52: Based on the sample data table, for each gear, the value of the kurtosis statistic bk is calculated by the following formula: in, is the sample data of vehicle number i, is the mean of the sample data; S53: Setting the detection level α and the critical value b1-α(n); S54: Determine whether >b1-α(n); If yes, then execute step S55; if no, then determine that no outlier is found; S55: Determine the value farthest from the mean as an outlier, delete the outlier and related data, update the sample data table and go to step S52.
7. The calculation method of the gearbox gear strength design requirement according to claim 6, characterized in that: The step S6 comprises: Based on the updated sample data table, update the corresponding sampling data table; Based on the sample data table, for each gear, the average number of full torque engagements for each gear is calculated using the following formula: and the sample standard deviation : ; ; in, is the number of full torque engagements of vehicle number i; For each gear, the number of full torque engagements required to achieve B10 reliability is calculated using the following formula: : ; Among them, 0.9 is 90% reliability, Parameters retrieved from the normal distribution cumulative distribution function table; For each gear, according to the formula Calculate the B10 reliability design requirement value of the gearbox gear strength .
8. A calculation system for gearbox gear strength design requirements, characterized in that: include: The original load spectrum generation module is used to collect the working status data of the gearbox from the driving system of the commercial vehicle manufacturer, and generate the original load spectrum of a single vehicle after sorting; The working state data of the gearbox includes: rotation speed, torque, vehicle speed, and gear position; A load spectrum conversion module, used for converting the original load spectrum into a load spectrum at a specified speed by converting the torque at different speeds into the torque at a specified speed; The full torque meshing times generation module is used to obtain the full torque meshing times of a single vehicle at a specified speed based on the load spectrum at a specified speed according to the linear damage theory, and convert the full torque meshing times of a single vehicle gearbox at a specified speed into the full torque meshing times of each gear of the single vehicle gearbox according to the design mileage of the vehicle; The sampling module is used to select vehicles in batches, calculate the full torque engagement times of each gear of the gearbox of the batch vehicles by using the original load spectrum generation module, the load spectrum conversion module and the full torque engagement times generation module, and perform a normal distribution test on them; An outlier data identification module is used to use the skewness-peak test method to test the number of full torque engagements of the gearboxes of batch vehicles, identify the outlier data, and delete them; The design requirement value calculation module is used to solve the full torque engagement number of each gear of the gearbox of the current batch of complete vehicles in the normal distribution of the full torque engagement number of each gear of the gearbox of the batch of complete vehicles, and the full torque engagement number that reaches the B10 reliability, and convert it into the B10 reliability design requirement value of the gearbox gear strength based on the reinforcement coefficient.
9. A device for calculating the strength design requirements of a gearbox gear, characterized in that: include: A memory for storing a calculation program for the strength design requirements of the gearbox gears; A processor is used to implement the steps of the method for calculating the strength design requirements of the gearbox gear as claimed in any one of claims 1 to 7 when executing the calculation program of the strength design requirements of the gearbox gear.
10. A readable storage medium, characterized in that: The readable storage medium stores a calculation program for the gearbox gear strength design requirements, and when the calculation program for the gearbox gear strength design requirements is executed by a processor, the steps of the calculation method for the gearbox gear strength design requirements as described in any one of claims 1 to 7 are implemented.
