CN113704871B - Method and device for determining wheel bending fatigue, terminal equipment and medium - Google Patents
Method and device for determining wheel bending fatigue, terminal equipment and medium Download PDFInfo
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Abstract
The invention discloses a method, a device, terminal equipment and a medium for determining wheel bending fatigue, wherein the method comprises the following steps: acquiring the fatigue failure revolution number N i of the target wheel under m different test loads F i, wherein each fatigue failure revolution number N i is larger than or equal to a preset revolution number lower limit value; and (3) carrying out wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain wheel bending fatigue parameters. The method and the device can solve the technical problems of simplistic analysis, lower precision and the like of the wheel bending fatigue in the prior art.
Description
Technical Field
The present invention relates to the field of vehicle technologies, and in particular, to a method and apparatus for determining wheel bending fatigue, a terminal device, and a medium.
Background
The wheel is one of the most important parts in the running process of the vehicle, and the quality of the wheel is directly related to the running safety and reliability of the vehicle, so that the wheel has a strict evaluation standard on various performances of the wheel in the design and manufacture process so as to ensure that the wheel has good running quality and reliable safety performance.
For the bending fatigue test of the wheels, a plurality of complete determination methods exist at present, but most of the methods adopt the test times to carry out simple comparative analysis, and the analysis method is too simple, has lower precision and is not beneficial to accurately evaluating the performance of the wheels.
Disclosure of Invention
The embodiment of the application solves the technical problems of too simple analysis, lower precision and the like of the wheel bending fatigue in the prior art by providing the method, the device, the terminal equipment and the medium for determining the wheel bending fatigue.
In one aspect, the present application provides a method for determining wheel bending fatigue by an embodiment of the present application, the method comprising:
Obtaining the fatigue failure revolution number N i of a target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value;
And (3) carrying out wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters are used for evaluating the fatigue failure performance of the target wheel.
Optionally, the wheel bending fatigue parameter includes a Weiler curve slope, and the calculating the wheel bending fatigue for the m test loads F i and the fatigue failure revolution number N i includes:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
Calculating to obtain the slope of the Weiler curve according to the first standard deviation and the second standard deviation;
wherein, weiler curve slope is used for reflecting the degree of influence of the test load on the fatigue failure revolution number of the target wheel.
Optionally, the Weiler curve slope is:
Wherein k is the Weiler curve slope, s xy is the first standard deviation, and s x is the second standard deviation.
Optionally, the wheel bending fatigue parameter further includes a logarithmic standard deviation, and the calculating the wheel bending fatigue for the m test loads F i and the fatigue failure revolution number N i includes:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
carrying out logarithmic standard deviation calculation on m fatigue failure revolution numbers N i to obtain a third standard deviation;
calculating the logarithmic standard deviation according to the first standard deviation, the second standard deviation and the third standard deviation;
Wherein the logarithmic standard deviation is used to reflect the probability distribution of the Weiler curve slope.
Optionally, the method further comprises:
And calculating a confidence interval of the Weiler curve slope according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolution number of the target wheel under any test load.
Optionally, the logarithmic standard deviation is:
Wherein S log is the logarithmic standard deviation, S xy is the first standard deviation, S x is the second standard deviation, and S y is the third standard deviation.
In another aspect, the present application provides, by an embodiment of the present application, a device for determining bending fatigue of a wheel, the device comprising: the device comprises an acquisition module and a calculation module, wherein:
The acquisition module is used for acquiring the fatigue failure revolution number N i of the target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value;
The calculation module is used for calculating the wheel bending fatigue of m test loads F i and the fatigue failure revolution number N i to obtain wheel bending fatigue parameters, and the wheel bending fatigue parameters are used for evaluating the fatigue failure performance of the target wheel.
Details not described in the present application can be specifically referred to the related description in the foregoing method embodiment, which is not repeated here.
In another aspect, an embodiment of the present application provides a terminal device, including: a processor, a memory, a communication interface, and a bus; the processor, the memory and the communication interface are connected through the bus and complete communication with each other; the memory stores executable program code; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the method of determining wheel bending fatigue as described above.
In another aspect, the present application provides, by an embodiment of the present application, a computer-readable storage medium storing program code for performing the method of determining wheel bending fatigue as described above when the program code is run on a terminal device.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages: according to the application, the fatigue failure revolution number N i of the target wheel under m different test loads F i is obtained, and then the wheel bending fatigue calculation is carried out on m test loads F i and the fatigue failure revolution number N i to obtain the wheel bending fatigue parameters, wherein the parameters are used for evaluating the fatigue failure performance of the target wheel, so that a plurality of groups of test loads and the fatigue failure revolution numbers under the test loads are comprehensively analyzed, the technical problems that the wheel bending fatigue analysis is too simple and the precision is low in the prior art can be effectively solved, meanwhile, the fatigue failure revolution number of the wheel can be evaluated, the stability of the fatigue failure revolution number can be analyzed and evaluated, and the reliability and the accuracy of the wheel bending fatigue analysis can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of a scenario of a wheel bending fatigue test according to an embodiment of the present application.
Fig. 2 is a flow chart of a method for determining wheel bending fatigue according to an embodiment of the present application.
FIG. 3 is a schematic diagram of a Weiler curve slope provided by an embodiment of the present application.
Fig. 4 is a wheel bending fatigue diagram corresponding to a wheel bending fatigue parameter according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a device for determining wheel bending fatigue according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
The applicant has also found in the course of proposing the present application that: for the wheel bending fatigue test, a single Weiler curve analysis method is adopted to evaluate at present, but no specific analysis and evaluation are carried out on specific conditions. The evaluation is mostly carried out by simple analytical comparison of the test times or simple answer calculation of Weiler curves. This single determination method evaluates either only the number of trials or only the stability of the data, and more simply the data analysis method. It can be seen that the analysis and determination method in the prior art is single and not complete enough; and most of the data are purely analyzed, and no relevant graph is intuitively analyzed. Therefore, a more complete determination method is needed, which is required for both the test times and the comprehensive evaluation of the stability of the test sample, that is, the dispersion of the data.
The embodiment of the application solves the technical problems that the analysis of the wheel bending fatigue is too simple, the precision is low and the like in the prior art by providing the method for determining the wheel bending fatigue.
The technical scheme of the embodiment of the application aims to solve the technical problems, and the overall thought is as follows: obtaining the fatigue failure revolution number N i of a target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value; and (3) carrying out wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters are used for evaluating the fatigue failure performance of the target wheel.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
First, the term "and/or" appearing herein is merely an association relationship describing associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Fig. 1 is a schematic view of a scenario of a wheel bending fatigue test according to an embodiment of the present application. The wheel bending fatigue test is to test the fatigue performance of the wheel in curve running. The test loading mode is to apply a rotational bending moment (also referred to as test load) to the wheel when the wheel is stationary. The loading mode of the bending fatigue test of the wheel is shown in figure 1, and the wheel is mounted on a bending fatigue tester, namely a mounting surface in the figure according to the requirement of test specifications. The wheel begins to test under test load (i.e., moment or bending moment) specified by a technical standard. When the test is carried out to the minimum revolution required by the technical standard (namely, the preset revolution lower limit value), the wheel is dismounted to observe whether fatigue cracks are generated. If a crack is generated, the wheel test is stopped and the wheel is determined to be failed. Otherwise, the wheel is remounted on the mounting surface, the test is continued until the wheel fails and cannot bear the test load, and the fatigue failure revolution number of the wheel at the moment is recorded.
In practical application, the technical standard requires at least two test load levels, at least 3 wheels are tested under each load, and corresponding logarithmic standard deviation Slog and Weiler curve slope K are calculated respectively. The calculation of the log standard deviation Slog and Weiler curve slope K is described in detail below, and is not repeated here.
Fig. 2 is a flow chart of a method for determining wheel bending fatigue according to an embodiment of the present application. The method as shown in fig. 2 comprises the following implementation steps:
S201, obtaining fatigue failure revolution numbers N i of a target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value.
The application can mount the target wheel on the wheel bending fatigue tester shown in figure 1, apply a plurality of groups of different test loads on the target wheel, and record the fatigue failure revolution under each group of test loads. And further screening out the respective fatigue failure revolution numbers N i under m test loads F i which meet the test technical standard. Wherein i is a positive integer less than or equal to (not more than) m. The number of fatigue failure revolutions N i at each test load F i is greater than or equal to a preset number of revolutions lower limit value specified in the technical standard, for example, 50 or the like. m is a positive integer greater than or equal to 2, that is, at least 2 groups of different test loads need to be applied in the wheel bending fatigue test so as to improve the stability of the number of wheel bending fatigue tests.
And S202, carrying out wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters are used for evaluating the fatigue failure performance of the target wheel.
According to the application, the wheel bending fatigue calculation can be carried out on the obtained m test loads F i and m fatigue failure revolution numbers N i, so as to obtain the wheel bending fatigue parameters of the target wheel. The wheel bending fatigue parameter is used to evaluate the mass performance, i.e. fatigue failure performance, of the target wheel. The wheel bending fatigue parameters include, but are not limited to, weiler curve slope k and logarithmic standard deviation Slog.
In one embodiment, the present application calculates the logarithmic standard deviation of the m test loads F i and the m fatigue failure revolutions N i to obtain a first standard deviation; carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation; finally, calculating to obtain the Weiler curve slope k according to the first standard deviation and the second standard deviation; wherein, weiler curve slope is used for reflecting the degree of influence of the test load on the fatigue failure revolution number of the target wheel.
Specifically, in the calculation process of the slope k of the Weiler curve, the test load and the fatigue failure revolution number of the target wheel satisfy a linear regression curve (S-N curve, which may also be referred to as Weiler curve) in a double log (log) coordinate, that is, satisfy a linear function expression as shown in the following formula (1):
y=a+k×x formula (1)
Where x is the log (log) value of the test load, i.e., log F; y is the log (log) of the number of fatigue failures, i.e., log N.
The application can calculate the logarithmic standard deviation of the m test loads F i (x) and the m fatigue failure revolution numbers N i (y) to obtain a first standard deviation, and the specific calculation is shown in the following formula (2):
Wherein k is the slope of the Weiler curve, s xy is the first standard deviation, s x is the second standard deviation, x i is the log (log) value of the test load F i, and y i is the log (log) value of the fatigue failure revolution number N i.
Where a in the above formula (1) is x=0, the vertical intercept on the y axis. The calculation is specifically shown in the following formula (3):
In a specific embodiment, the present application may perform a logarithmic standard deviation calculation on m test loads F i and m fatigue failure revolutions N i to obtain a first standard deviation; carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation; carrying out logarithmic standard deviation calculation on m fatigue failure revolution numbers N i to obtain a third standard deviation; finally, calculating according to the first standard deviation, the second standard deviation and the third standard deviation to obtain the logarithmic standard deviation Slog; wherein the logarithmic standard deviation is used to reflect the probability distribution of the Weiler curve slope.
Specifically, the present application can calculate the logarithmic standard deviation Slog as shown in the following formula (4):
Wherein S log is the logarithmic standard deviation, S xy is the first standard deviation, S x is the second standard deviation, and S y is the third standard deviation. The accuracy of Weiler curve and logarithmic standard deviation fitting in the application is:
In an alternative embodiment, the application can also calculate Weiler a confidence interval of curve slope K according to the logarithmic standard deviation S log, wherein the confidence interval is used for reflecting the distribution condition of the fatigue failure revolution number of the target wheel under any test load. The specific calculation of the confidence interval T N is shown in the following formula (5):
Please refer to fig. 3, which illustrates a Weiler curve and a schematic diagram of the confidence interval. As in fig. 3, the abscissa represents the logarithmic (log) value of the number N i of fatigue failure revolutions, log N; the ordinate represents the log (log) value of the test load F i, logF. Wherein P 50％ represents a Weiler curve fitted by the method, and the slope of the curve is Weiler curve slope k; p 90％～P10％ represents the confidence interval T N.
It should be noted that, according to the fatigue failure revolution number (test frequency), the application can calculate the Weiler curve of a certain wheel (such as a target wheel), and the slope K of the Weiler curve reflects the significant degree of the influence of the test load on the fatigue failure revolution number of the wheel. As k increases, the test load decreases and the wheel fatigue life increases significantly. Since the test is generally performed under a test load far higher than the actual service condition of the wheel so as to accelerate the test progress, and the fatigue performance of the wheel under the actual service condition is evaluated by the test data, if the k value is smaller or unknown, the wheel can complete the minimum required revolution without crack failure under the test load, but the fatigue revolution under the actual service load may not reach the requirement, thereby reducing the safety of the wheel.
The logarithmic standard deviation Slog represents the degree of dispersion of the number of wheel fatigue failure revolutions (fatigue life) under a certain test load, and also represents the probability distribution of Weiler curve. The greater the Slog value, the more dispersed the test data, the poorer the reliability of the conclusion obtained by evaluating the fatigue performance of the wheel from the test data, and the more difficult the safety of the wheel is ensured. Slog is related to consistency in composition, texture, casting defects, mechanical properties, etc. between different wheels, reflecting the stability of the process during mass production of the wheels.
The application can also draw the corresponding wheel bending fatigue diagram according to the test data (m test loads F i and m fatigue failure revolution numbers N i) or the wheel bending fatigue parameters. Referring to fig. 4, a schematic diagram of a wheel bending fatigue diagram is shown. As shown in fig. 4, the present application draws Weiler graph and logarithmic standard deviation with excel according to test data, and can intuitively obtain Weiler curve slope k and logarithmic standard deviation Slog from the graph. Wherein, the straight line 1 is the test times under the test load determined by the test standard, the black point on the straight line 2 is the test times under the specific test load (namely, the fatigue failure revolution), and the straight line 2 is the Weiler curve obtained by calculation. The slope k of the straight line 2 is smaller than the slope of the straight line 1 under the test standard, so that the design defect exists in the wheel sample, and the failure risk exists; if the calculated Slog value is larger, the consistency of the wheel sample is poorer, and the quality stability of the wheel sample is ensured by carrying out process improvement.
According to the method, the fatigue failure revolution number N i of the target wheel under m different test loads F i is obtained, and then the wheel bending fatigue calculation is carried out on m test loads F i and the fatigue failure revolution number N i to obtain the wheel bending fatigue parameters, wherein the parameters are used for evaluating the fatigue failure performance of the target wheel, so that multiple groups of test loads and the fatigue failure revolution numbers under the test loads are comprehensively analyzed, the technical problems that the wheel bending fatigue analysis is too simple and low in precision in the prior art can be effectively solved, meanwhile, the fatigue failure revolution number of the wheel can be evaluated, the stability of the fatigue failure revolution number can be analyzed and evaluated, and the reliability and the accuracy of the wheel bending fatigue analysis can be improved.
Referring to fig. 5, an apparatus for determining wheel bending fatigue according to an embodiment of the present application includes an acquisition module 501 and a calculation module 502, where:
The obtaining module 501 is configured to obtain a number N i of fatigue failure of a target wheel under m different test loads F i, where i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each number N i of fatigue failure is greater than or equal to a preset lower limit of number;
The calculation module 502 is configured to perform wheel bending fatigue calculation on m test loads F i and the fatigue failure revolution number N i, to obtain a wheel bending fatigue parameter, where the wheel bending fatigue parameter is used to evaluate fatigue failure performance of the target wheel.
Optionally, the wheel bending fatigue parameter includes Weiler curve slope, and the calculating module 502 is specifically configured to:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
Calculating to obtain the slope of the Weiler curve according to the first standard deviation and the second standard deviation;
wherein, weiler curve slope is used for reflecting the degree of influence of the test load on the fatigue failure revolution number of the target wheel.
Optionally, the Weiler curve slope is:
Wherein k is the Weiler curve slope, s xy is the first standard deviation, and s x is the second standard deviation.
Optionally, the wheel bending fatigue parameter further includes a logarithmic standard deviation, and the calculating module 502 is specifically configured to:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
carrying out logarithmic standard deviation calculation on m fatigue failure revolution numbers N i to obtain a third standard deviation;
calculating the logarithmic standard deviation according to the first standard deviation, the second standard deviation and the third standard deviation;
Wherein the logarithmic standard deviation is used to reflect the probability distribution of the Weiler curve slope.
Optionally, the computing module 502 is further configured to:
And calculating a confidence interval of the Weiler curve slope according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolution number of the target wheel under any test load.
Optionally, the logarithmic standard deviation is:
Wherein S log is the logarithmic standard deviation, S xy is the first standard deviation, S x is the second standard deviation, and S y is the third standard deviation.
Optionally, the apparatus further comprises a drawing module 503, where the drawing module 503 is configured to:
and generating and drawing a corresponding wheel bending fatigue diagram according to the wheel bending fatigue parameters.
Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application. The terminal device as shown in fig. 6 includes: at least one processor 601, communication interface 602, user interface 603 and memory 604, the processor 601, communication interface 602, user interface 603 and memory 604 may be connected by a bus or otherwise, an embodiment of the present application being exemplified by connection via bus 605. Wherein,
The processor 601 may be a general purpose processor such as a central processing unit (Central Processing Unit, CPU).
The communication interface 602 may be a wired interface (e.g., an ethernet interface) or a wireless interface (e.g., a cellular network interface or using a wireless local area network interface) for communicating with other terminals or websites. In the embodiment of the present invention, the communication interface 602 is specifically configured to obtain the water temperature at the water outlet of the engine.
The user interface 603 may specifically be a touch panel, including a touch screen and a touch screen, for detecting an operation instruction on the touch panel, and the user interface 603 may also be a physical key or a mouse. The user interface 603 may also be a display screen for outputting, displaying images or data.
The Memory 604 may include Volatile Memory (Volatile Memory), such as random access Memory (Random Access Memory, RAM); the Memory may also include a Non-Volatile Memory (Non-Volatile Memory), such as Read-Only Memory (ROM), flash Memory (Flash Memory), hard disk (HARD DISK DRIVE, HDD), or Solid state disk (Solid-state disk-STATE DRIVE, SSD); memory 604 may also include a combination of the types of memory described above. The memory 604 is used for storing a set of program codes, and the processor 601 is used for calling the program codes stored in the memory 604 to execute the following operations:
Obtaining the fatigue failure revolution number N i of a target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value;
And (3) carrying out wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters are used for evaluating the fatigue failure performance of the target wheel.
Optionally, the wheel bending fatigue parameter includes a Weiler curve slope, and the calculating the wheel bending fatigue for the m test loads F i and the fatigue failure revolution number N i includes:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
Calculating to obtain the slope of the Weiler curve according to the first standard deviation and the second standard deviation;
wherein, weiler curve slope is used for reflecting the degree of influence of the test load on the fatigue failure revolution number of the target wheel.
Optionally, the Weiler curve slope is:
Wherein k is the Weiler curve slope, s xy is the first standard deviation, and s x is the second standard deviation.
Optionally, the wheel bending fatigue parameter further includes a logarithmic standard deviation, and the calculating the wheel bending fatigue for the m test loads F i and the fatigue failure revolution number N i includes:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
carrying out logarithmic standard deviation calculation on m fatigue failure revolution numbers N i to obtain a third standard deviation;
calculating the logarithmic standard deviation according to the first standard deviation, the second standard deviation and the third standard deviation;
Wherein the logarithmic standard deviation is used to reflect the probability distribution of the Weiler curve slope.
Optionally, the processor 601 is further configured to:
And calculating a confidence interval of the Weiler curve slope according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolution number of the target wheel under any test load.
Optionally, the logarithmic standard deviation is:
Wherein S log is the logarithmic standard deviation, S xy is the first standard deviation, S x is the second standard deviation, and S y is the third standard deviation.
Optionally, the processor 601 is further configured to:
and generating and drawing a corresponding wheel bending fatigue diagram according to the wheel bending fatigue parameters.
Since the terminal device described in this embodiment is a terminal device used to implement the method embodiment in the embodiment of the present application, based on the method described in the embodiment of the present application, those skilled in the art can understand the specific implementation of the terminal device in this embodiment and various modifications thereof, so how the terminal device implements the method in the embodiment of the present application will not be described in detail herein. The terminal device used by those skilled in the art to implement the method of the embodiment of the present application is within the scope of the present application.
According to the method, the fatigue failure revolution number N i of the target wheel under m different test loads F i is obtained, and then the wheel bending fatigue calculation is carried out on m test loads F i and the fatigue failure revolution number N i to obtain the wheel bending fatigue parameters, wherein the parameters are used for evaluating the fatigue failure performance of the target wheel, so that multiple groups of test loads and the fatigue failure revolution numbers under the test loads are comprehensively analyzed, the technical problems that the wheel bending fatigue analysis is too simple and low in precision in the prior art can be effectively solved, meanwhile, the fatigue failure revolution number of the wheel can be evaluated, the stability of the fatigue failure revolution number can be analyzed and evaluated, and the reliability and the accuracy of the wheel bending fatigue analysis can be improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. A method of determining wheel bending fatigue comprising:
Obtaining the fatigue failure revolution number N i of a target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value;
Performing wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating fatigue failure performance of the target wheel, the wheel bending fatigue parameter comprises Weiler curve slope, and performing wheel bending fatigue calculation on the m test loads F i and the fatigue failure revolution number N i to obtain a wheel bending fatigue parameter, and the method comprises the following steps:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
Calculating to obtain the slope of the Weiler curve according to the first standard deviation and the second standard deviation;
Wherein, weiler the curve slope is used for reflecting the influence degree of the test load on the fatigue failure revolution number of the target wheel, weiler the curve slope is:
Wherein k is the Weiler curve slope, s xy is the first standard deviation, and s x is the second standard deviation.
2. The method of claim 1, wherein the wheel bending fatigue parameters further comprise a logarithmic standard deviation, the wheel bending fatigue calculation for the m test loads F i and the number of fatigue failure revolutions N i comprising:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
carrying out logarithmic standard deviation calculation on m fatigue failure revolution numbers N i to obtain a third standard deviation;
calculating the logarithmic standard deviation according to the first standard deviation, the second standard deviation and the third standard deviation;
Wherein the logarithmic standard deviation is used to reflect the probability distribution of the Weiler curve slope.
3. The method according to claim 2, wherein the method further comprises:
And calculating a confidence interval of the Weiler curve slope according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolution number of the target wheel under any test load.
4. The method of claim 2, wherein the logarithmic standard deviation is:
Wherein S log is the logarithmic standard deviation, S xy is the first standard deviation, S x is the second standard deviation, and S y is the third standard deviation.
5. The method according to any one of claims 1-4, further comprising:
And drawing a corresponding wheel bending fatigue diagram according to the wheel bending fatigue parameters.
6. A device for determining bending fatigue of a wheel, comprising: the device comprises an acquisition module and a calculation module, wherein:
The acquisition module is used for acquiring the fatigue failure revolution number N i of the target wheel under m different test loads F i, wherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, and each fatigue failure revolution number N i is greater than or equal to a preset revolution lower limit value;
The calculation module is configured to perform wheel bending fatigue calculation on m test loads F i and the fatigue failure revolution number N i to obtain a wheel bending fatigue parameter, where the wheel bending fatigue parameter is used to evaluate fatigue failure performance of the target wheel, the wheel bending fatigue parameter includes a Weiler curve slope, and perform wheel bending fatigue calculation on m test loads F i and the fatigue failure revolution number N i to obtain a wheel bending fatigue parameter, and includes:
Carrying out logarithmic standard deviation calculation on m test loads F i and the fatigue failure revolution number N i to obtain a first standard deviation;
Carrying out logarithmic standard deviation calculation on m test loads F i to obtain a second standard deviation;
Calculating to obtain the slope of the Weiler curve according to the first standard deviation and the second standard deviation;
Wherein, weiler the curve slope is used for reflecting the influence degree of the test load on the fatigue failure revolution number of the target wheel, weiler the curve slope is:
Wherein k is the Weiler curve slope, s xy is the first standard deviation, and s x is the second standard deviation.
7. A terminal device, comprising: a processor, a memory, a communication interface, and a bus; the processor, the memory and the communication interface are connected through the bus and complete communication with each other; the memory stores executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the method of determining wheel bending fatigue according to any of the preceding claims 1-5.
8. A computer readable storage medium comprising computer instructions which, when run on a terminal device, cause the terminal device to perform the method of determining wheel bending fatigue according to any of the preceding claims 1-5.
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