CN113704871A - Wheel bending fatigue determination method and device, terminal device and medium - Google Patents
Wheel bending fatigue determination method and device, terminal device 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: obtaining m different test loads F of a target wheeliFatigue failure revolution number NiEach of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution; for m of said test loads FiAnd the number of fatigue failure revolutions NiAnd (5) calculating the wheel bending fatigue to obtain the wheel bending fatigue parameters. By adopting the method and the device, the technical problems of too simple wheel bending fatigue analysis, lower precision and the like in the prior art can be solved.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a method, a device, terminal equipment and a medium for determining wheel bending fatigue.
Background
The wheel is one of the most important parts in the vehicle running process, the quality of the wheel is directly related to the safety and the reliability of the vehicle running, so that strict evaluation standards are provided for various performances of the wheel during design and manufacture so as to ensure that the wheel has good application quality and reliable safety performance.
For wheel bending fatigue tests, some complete determination methods exist at present, but most of the determination methods adopt test times to carry out simple comparative analysis, and the analysis method is too simple, has low precision and is not beneficial to accurately evaluating the performance of the wheel.
Disclosure of Invention
The embodiment of the application provides a method, a device, a terminal device and a medium for determining the wheel bending fatigue, and solves the technical problems that the wheel bending fatigue analysis in the prior art is too simple, the precision is low and the like.
In one aspect, the present application provides a method for determining wheel bending fatigue, according to an embodiment of the present application, the method including:
obtaining m different test loads F of a target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution;
for m of said test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
Optionally, said wheel bending fatigue parameter comprises a slope of a Weber curve, said for m said test loads FiAnd the number of fatigue failure revolutions NiCalculating the wheel bending fatigue to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters comprise:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation 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;
and the slope of the Weiler curve is used for reflecting the influence degree of the test load on the fatigue failure revolution of the target wheel.
Optionally, the slope of the willer curve is:
wherein k is the slope of the Weiler curve, sxyIs the first standard deviation, sxIs the second standard deviation.
Optionally, the wheel bending fatigue parameter further comprises a logarithmic standard deviation, the F for m test loadsiAnd the number of fatigue failure revolutions NiCalculating the wheel bending fatigue to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters comprise:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation to obtain a second standard deviation;
for m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a third standard deviation;
calculating to obtain 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 a probability distribution of the slope of the Weber curve.
Optionally, the method further comprises:
and calculating a confidence interval of the slope of the Weiler curve according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolutions of the target wheel under any test load.
Optionally, the logarithmic standard deviation is:
wherein S islogIs the logarithmic standard deviation, sxyIs the first standard deviation, sxIs the second standard deviation, syIs that it isThe third standard deviation.
In another aspect, the present application provides a device for determining wheel bending fatigue, according to an embodiment of the present application, the device including: an acquisition module and a calculation module, wherein:
the acquisition module is used for acquiring m different test loads F of the target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution;
the calculation module is used for calculating m test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
For details that are not described in the present application, reference may be made to the related descriptions in the foregoing method embodiments, and details are not described here.
On the other hand, an embodiment of the present application provides a terminal device, where the terminal device includes: 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 mutual communication; 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 wheel bending fatigue determination method as described above.
In another aspect, the present application provides a computer-readable storage medium storing program code for performing the method for determining wheel bending fatigue as described above when the program code is run on a terminal device, through an embodiment of the present application.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: the method obtains m different test loads F of the target wheeliFatigue failure revolution number NiAnd then further onFor m of said test loads FiAnd the number of fatigue failure revolutions NiThe wheel bending fatigue is calculated to obtain wheel bending fatigue parameters, 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 number under the test loads are comprehensively analyzed, the technical problems that the wheel bending fatigue analysis is too simple, the precision is low and the like 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.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a scene schematic diagram of a wheel bending fatigue test provided in an embodiment of the present application.
Fig. 2 is a schematic flow chart of a method for determining wheel bending fatigue according to an embodiment of the present disclosure.
Fig. 3 is a schematic diagram of a slope of a miller curve according to an embodiment of the present disclosure.
Fig. 4 is a wheel bending fatigue graph corresponding to a wheel bending fatigue parameter provided in an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a device for determining bending fatigue of a wheel 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 the present application that: for wheel bending fatigue tests, a single miller curve analysis method is mostly adopted for evaluation at present, but specific analysis and evaluation are not carried out on specific conditions. Most of the evaluation methods only adopt simple analysis and comparison of test times or simple answer calculation of a Wehler curve for evaluation. This comparatively simple determination method evaluates either only the number of tests or only the stability of the data and is more often a purely data analysis method. Therefore, the analysis and determination method in the prior art is single and incomplete; most of the data are purely analyzed, and no relevant graph is visually analyzed. Therefore, there is a need for a more complete determination method that can meet the requirements both in terms of the number of tests and the stability of the test sample, i.e., the dispersion of the data, as well as a comprehensive evaluation.
The embodiment of the application provides a method for determining the bending fatigue of the wheel, and solves the technical problems that the analysis of the bending fatigue of the wheel in the prior art is too single and simple, the precision is low and the like.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows: obtaining m different test loads F of a target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution; for m of said test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
First, it is stated that the term "and/or" appearing herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in 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 disclosure. The wheel bending fatigue test is used for testing the fatigue performance of the wheel when the wheel runs on a curve. The test loading mode is that a rotating bending moment (also called a test load) is exerted on the wheel when the wheel is still. The loading mode of the wheel bending fatigue test is shown in figure 1, and the wheel is installed on the bending fatigue testing machine, namely the installation surface shown in the figure according to the requirement of the test specification. The wheel is tested at a test load (i.e., moment or bending moment) specified by a specification. When the test was conducted to the minimum number of revolutions required by the specifications (i.e., the preset lower limit value of revolutions), the wheel was removed to see whether or not fatigue cracks were generated. If a crack is generated, the wheel test is stopped, and the wheel is determined to be defective. Otherwise, the wheel is remounted on the mounting surface, the test is continued until the wheel fails and can not 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 the corresponding logarithmic standard deviation Slog and the slope K of the weler curve are respectively calculated. The calculation of the logarithmic standard deviation Slog and the slope K of the weler curve is specifically described in detail below and will not be described in detail here.
Fig. 2 is a schematic flow chart of a method for determining wheel bending fatigue according to an embodiment of the present disclosure. The method as shown in fig. 2 comprises the following implementation steps:
s201, acquiring m different test loads F of a target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre each greater than or equal to a preset lower limit value of the number of revolutions.
The present application can mount a target wheel to the wheel bending fatigue testing machine shown in fig. 1, apply a plurality of different sets of test loads on the target wheel, and record the fatigue failure number of revolutions per set of test loads. Further screening m test loads F meeting the lowest test technical standardiLower respective fatigue failure revolution number Ni. Wherein i is a positive integer less than or equal to (not more than) m. Each testLoad FiFatigue failure revolution number NiAre all greater than or equal to a preset lower limit value of the number of revolutions, such as 50, etc., prescribed in the technical standards. 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 wheel bending fatigue test times.
S202, testing m test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
The application can be used for obtaining m test loads FiAnd m said fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain the wheel bending fatigue parameters of the target wheel. The wheel bending fatigue parameter is used to evaluate a quality property, i.e., fatigue failure property, of the target wheel. The wheel bending fatigue parameters include, but are not limited to, the Weller curve slope k and the logarithmic standard deviation Slog.
In one embodiment, the present application is directed to m of said test loads FiAnd m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation; for m of said test loads FiCalculating a logarithmic standard deviation to obtain a second standard deviation; finally, calculating according to the first standard deviation and the second standard deviation to obtain the slope k of the Weiler curve; and the slope of the Weiler curve is used for reflecting the influence degree of the test load on the fatigue failure revolution of the target wheel.
Specifically, in the calculation process of the slope k of the miller 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 the miller curve) in a log-log coordinate, that is, satisfy the following formula (1) of a linear function expression:
y ═ a + k × x formula (1)
Wherein 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 be used for obtainingM test loads Fi(x) And m said fatigue failure revolutions Ni(y) calculating a logarithmic standard deviation to obtain a first standard deviation, wherein the calculation is specifically as shown in the following formula (2):
wherein k is the slope of the Weiler curve, sxyIs the first standard deviation, sxIs the second standard deviation, xiFor testing load FiLog (log) value of (a), yiNumber of revolutions for fatigue failure NiLog (log) value of (d).
Wherein, in the above formula (1), when a is 0, the y-axis is the vertical intercept. The calculation is specifically shown in the following formula (3):
in one embodiment, the present application can apply m of said test loads FiAnd m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation; for m of said test loads FiCalculating a logarithmic standard deviation to obtain a second standard deviation; for m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a third standard deviation; finally, calculating to obtain the logarithmic standard deviation Slog according to the first standard deviation, the second standard deviation and the third standard deviation; wherein the logarithmic standard deviation is used to reflect a probability distribution of the slope of the Weber curve.
Specifically, the log standard deviation Slog can be calculated as shown in the following formula (4):
wherein S islogIs the logarithmic standard deviation, sxyIs the first standard deviation, sxIs the firstTwo standard deviations, syIs the third standard deviation. The accuracy of the fit of the Weller curve and the logarithmic standard deviation in the application is as follows:
in alternative embodiments, the present application may also be based on the logarithmic standard deviation SlogAnd calculating a confidence interval of the slope K of the Weiler curve, wherein the confidence interval is used for reflecting the distribution condition of the fatigue failure revolutions of the target wheel under any test load. The confidence interval TNThe specific calculation of (2) is shown in the following formula (5):
fig. 3 is a schematic diagram of a willer curve and its confidence interval. As shown in FIG. 3, the abscissa represents the fatigue failure revolution number NiLog (log) value of (d), logN; the ordinate represents the test load FiLog (log) value of (d), logF. Wherein, P50％Representing a fitted Weiler curve of the application, wherein the slope of the curve is the slope k of the Weiler curve; p90％～P10％Represents the confidence interval TN。
It should be noted that, according to the present application, a miller curve of a certain wheel (e.g., a target wheel) may be calculated according to the fatigue failure revolutions (test times), and a slope K of the miller curve reflects a significant degree of influence of the test load on the fatigue failure revolutions of the wheel. As k is greater, the test load decreases and the wheel fatigue life increases significantly. Since the test is generally performed at a test load much higher than the actual service condition of the wheel in order to accelerate the progress of the test, and the fatigue performance of the wheel in the actual service condition is evaluated by these test data, if the k value is small or unknown, the wheel can complete the minimum required number of revolutions without crack failure under the test load, but the number of fatigue revolutions under the actual service load may not meet the requirement, thereby reducing the safety of the wheel.
The logarithmic standard deviation Slog represents the degree of dispersion of the number of revolutions of wheel fatigue failure (fatigue life) at a certain test load, and also represents the probability distribution of the willer curve. The larger the Slog value is, the more scattered the test data is, and the poorer the reliability of the conclusion obtained by evaluating the fatigue performance of the wheel by the test data is, the more difficult the safety of the wheel is to be ensured. Slog is related to the consistency of composition, structure, casting defects, mechanical properties, etc. between different wheels, reflecting the stability of the process in the mass production of wheels.
The application can also be based on experimental data (m experimental loads F)iAnd m fatigue failure revolutions Ni) Or the wheel bending fatigue parameters are used for drawing a corresponding wheel bending fatigue graph. Fig. 4 is a schematic view of a wheel bending fatigue diagram. Referring to fig. 4, the present application plots a willer curve graph and a logarithmic standard deviation in excel according to experimental data, and the slope k of the willer curve and the logarithmic standard deviation Slog can be intuitively obtained from the graph. The straight line 1 is the test frequency under the test load determined by the test standard, the black point on the straight line 2 is the test frequency (namely the fatigue failure revolution) under the specific test load, and the straight line 2 is the calculated miller curve. The slope k of the straight line 2 is smaller than that of the straight line 1 under the test standard, so that the wheel sample has design defects and failure risks; if the calculated Slog value is larger, the consistency of the wheel sample piece is poorer, the process needs to be improved, and the quality stability of the wheel sample piece is ensured.
By implementing the method, m different test loads F of the target wheel are obtainediFatigue failure revolution number NiAnd then for m of said test loads FiAnd the number of fatigue failure revolutions NiThe wheel bending fatigue is calculated to obtain wheel bending fatigue parameters, 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 number under the test loads are comprehensively analyzed, the technical problems that the wheel bending fatigue analysis is too simple, the precision is low and the like 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, a device for determining wheel bending fatigue according to an embodiment of the present application includes an obtaining module 501 and a calculating module 502, where:
the obtaining module 501 is configured to obtain m different test loads F of the target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution;
the calculating module 502 is configured to calculate m test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
Optionally, the wheel bending fatigue parameter includes a slope of a willer curve, and the calculation module 502 is specifically configured to:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation 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;
and the slope of the Weiler curve is used for reflecting the influence degree of the test load on the fatigue failure revolution of the target wheel.
Optionally, the slope of the willer curve is:
wherein k is the slope of the Weiler curve, sxyIs the first standard deviation, sxIs the second standard deviation.
Optionally, the wheel bending fatigue parameters further include a logarithmic standard deviation, and the calculating module 502 is specifically configured to:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation to obtain a second standard deviation;
for m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a third standard deviation;
calculating to obtain 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 a probability distribution of the slope of the Weber curve.
Optionally, the calculating module 502 is further configured to:
and calculating a confidence interval of the slope of the Weiler curve according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolutions of the target wheel under any test load.
Optionally, the logarithmic standard deviation is:
wherein S islogIs the logarithmic standard deviation, sxyIs the first standard deviation, sxIs the second standard deviation, syIs the third standard deviation.
Optionally, the apparatus further comprises a drawing module 503, and the drawing module 503 is configured to:
and generating and drawing a corresponding wheel bending fatigue graph according to the wheel bending fatigue parameters.
Please refer to fig. 6, which is a schematic structural diagram of a terminal device according to an embodiment of the present application. The terminal device shown in fig. 6 includes: at least one processor 601, a communication interface 602, a user interface 603 and a memory 604, wherein the processor 601, the communication interface 602, the user interface 603 and the memory 604 can be connected by a bus or other means, and the embodiment of the present invention is exemplified by being connected by the bus 605. Wherein the content of the first and second substances,
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 a water temperature at a 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 button or a mouse. The user interface 603 may also be a display screen for outputting, displaying images or data.
obtaining m different test loads F of a target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution;
for m of said test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
Optionally, the wheel is bending fatigueThe parameters include the slope of the Weiler curve, and the number of the test loads FiAnd the number of fatigue failure revolutions NiCalculating the wheel bending fatigue to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters comprise:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation 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;
and the slope of the Weiler curve is used for reflecting the influence degree of the test load on the fatigue failure revolution of the target wheel.
Optionally, the slope of the willer curve is:
wherein k is the slope of the Weiler curve, sxyIs the first standard deviation, sxIs the second standard deviation.
Optionally, the wheel bending fatigue parameter further comprises a logarithmic standard deviation, the F for m test loadsiAnd the number of fatigue failure revolutions NiCalculating the wheel bending fatigue to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters comprise:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation to obtain a second standard deviation;
for m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a third standard deviation;
calculating to obtain 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 a probability distribution of the slope of the Weber curve.
Optionally, the processor 601 is further configured to:
and calculating a confidence interval of the slope of the Weiler curve according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolutions of the target wheel under any test load.
Optionally, the logarithmic standard deviation is:
wherein S islogIs the logarithmic standard deviation, sxyIs the first standard deviation, sxIs the second standard deviation, syIs the third standard deviation.
Optionally, the processor 601 is further configured to:
and generating and drawing a corresponding wheel bending fatigue graph according to the wheel bending fatigue parameters.
Since the terminal device described in this embodiment is a terminal device used for implementing the method embodiment in this embodiment, based on the method described in this embodiment, a person skilled in the art can understand the specific implementation of the terminal device in this embodiment and various variations thereof, so that a detailed description of how to implement the method in this embodiment by the terminal device is omitted here. The terminal device adopted by the person skilled in the art to implement the method in the embodiment of the present application is within the scope of the protection to be claimed in the present application.
By implementing the method, m different test loads F of the target wheel are obtainediFatigue failure revolution number NiAnd then for m of said test loads FiAnd the number of fatigue failure revolutions NiPerforming wheel bending fatigue calculation to obtain wheel bending fatigue parameters, and evaluating the fatigue failure performance of the target wheel by the parameters, so as to comprehensively analyzeThe fatigue failure revolution under the test loads is set, the technical problems that the wheel bending fatigue analysis is too simple, the precision is low and the like in the prior art can be effectively solved, meanwhile, the fatigue failure revolution of the wheel can be evaluated, the stability of the fatigue failure revolution can be analyzed and evaluated, and the reliability and the accuracy of the wheel bending fatigue analysis are improved.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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. Therefore, it is intended that the appended claims be interpreted as including 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 changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method of determining wheel bending fatigue, comprising:
obtaining m different test loads F of a target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution;
for m of said test loads FiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
2. The method of claim 1, wherein said wheel bending fatigue parameter comprises a slope of a miller curve, said F for m said test loadsiAnd the number of fatigue failure revolutions NiCalculating the wheel bending fatigue to obtain the wheel bendingFatigue parameters, including:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation 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;
and the slope of the Weiler curve is used for reflecting the influence degree of the test load on the fatigue failure revolution of the target wheel.
3. The method of claim 2, wherein the slope of the miller curve is:
wherein k is the slope of the Weiler curve, sxyIs the first standard deviation, sxIs the second standard deviation.
4. The method of claim 2, wherein the wheel bending fatigue parameters further comprise a logarithmic standard deviation, F, for m of the test loadsiAnd the number of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain wheel bending fatigue parameters, wherein the wheel bending fatigue parameters comprise:
for m of said test loads FiAnd the number of fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a first standard deviation;
for m of said test loads FiCalculating a logarithmic standard deviation to obtain a second standard deviation;
for m said fatigue failure revolutions NiCalculating a logarithmic standard deviation to obtain a third standard deviation;
calculating to obtain 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 a probability distribution of the slope of the Weber curve.
5. The method of claim 4, further comprising:
and calculating a confidence interval of the slope of the Weiler curve according to the logarithmic standard deviation, wherein the confidence interval is used for reflecting the distribution of the fatigue failure revolutions of the target wheel under any test load.
6. The method of claim 4, wherein the log standard deviation is:
wherein S islogIs the logarithmic standard deviation, sxyIs the first standard deviation, sxIs the second standard deviation, syIs the third standard deviation.
7. The method according to any one of claims 1-6, further comprising:
and drawing a corresponding wheel bending fatigue graph according to the wheel bending fatigue parameters.
8. A wheel bending fatigue determination apparatus, comprising: an acquisition module and a calculation module, wherein:
the acquisition module is used for acquiring m different test loads F of the target wheeliFatigue failure revolution number NiWherein i is a positive integer not exceeding m, m is a positive integer greater than or equal to 2, each of said fatigue failure revolutions NiAre all larger than or equal to a preset lower limit value of the revolution;
the calculation module is used for calculating m test loads FiAnd the fatigueNumber of fatigue failure revolutions NiAnd calculating the wheel bending fatigue to obtain a wheel bending fatigue parameter, wherein the wheel bending fatigue parameter is used for evaluating the fatigue failure performance of the target wheel.
9. 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 mutual communication; 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 the wheel bending fatigue according to any one of claims 1 to 7 above.
10. 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 of any of claims 1-7 above.
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| CN202110856858.8A CN113704871B (en) | 2021-07-28 | Method and device for determining wheel bending fatigue, terminal equipment and medium |
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| CN202110856858.8A CN113704871B (en) | 2021-07-28 | Method and device for determining wheel bending fatigue, terminal equipment and medium |
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