CN112818462B - Method and device for generating wheel parameter model, storage medium and computer equipment - Google Patents
Method and device for generating wheel parameter model, storage medium and computer equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for generating a wheel parameter model, a storage medium and computer equipment. Calculating the obtained bending stress values through a bending fatigue calculation model to generate a bending fatigue damage value; calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value; calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value; calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass; and generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass.
Description
[ Field of technology ]
The present invention relates to the field of vehicle technologies, and in particular, to a method and apparatus for generating a wheel parameter model, a storage medium, and a computer device.
[ Background Art ]
The wheel parameter model generation method needs to consider the requirements of performances such as fatigue, strength, rigidity and the like. The wheel is mostly damaged by fatigue, so the working conditions which need to be mainly examined include bending fatigue damage value and radial fatigue damage value. Meanwhile, the lateral rigidity value of the wheels has an important influence on the road noise performance of the whole vehicle.
In the related art, an engineer is usually required to manually perform a large number of software operations, including a series of complicated operations such as processing of wheel data, meshing, loading of boundary conditions, submitting calculation, post-processing of results, checking calculation of an optimization scheme, and the like. The whole process can take a large amount of time for setting the software, so that the development period of the wheel parameter model is longer, and because the whole process requires a large amount of manual operation, the results obtained by analysis and design by different engineers are different, and the efficiency and the accuracy of generating the wheel model parameters are reduced.
[ Invention ]
In view of this, the embodiments of the present invention provide a method, an apparatus, a storage medium, and a computer device for generating a wheel parameter model, so as to improve the efficiency and accuracy of generating the wheel parameter model.
In one aspect, an embodiment of the present invention provides a method for generating a wheel parameter model, including:
calculating the obtained bending stress values through a bending fatigue calculation model to generate a bending fatigue damage value;
calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value;
calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value;
Calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate minimum wheel mass;
And generating the wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass.
Optionally, the calculating the obtained plurality of bending stress values through the bending fatigue calculation model includes, before generating the bending fatigue damage value:
Calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set reinforcement test coefficient to generate a first wheel bending moment, wherein the wheel offset distance comprises an inner wheel offset distance or an outer wheel offset distance;
setting a plurality of bending moment directions for the first wheel bending moment to generate a plurality of second wheel bending moments;
And calculating a plurality of second wheel bending moments and set wheel force arms to generate a plurality of bending stress values.
Optionally, the calculating, by the radial fatigue calculation model, the obtained plurality of radial stress values, before generating the radial fatigue damage value, includes:
Calculating the rated load of the wheel and the set reinforcement test coefficient to generate a first wheel radial load;
Setting a plurality of load directions for the first wheel radial load, generating a plurality of second wheel radial loads;
And calculating a plurality of second wheel radial loads through a radial fatigue calculation model to generate a plurality of radial stress values.
Optionally, the calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass includes, before generating the lateral stiffness value:
And calculating the obtained wheel initial model through a finite element analysis algorithm to generate a wheel lateral anti-resonance frequency and a wheel lateral resonance frequency.
Optionally, the calculating the rated load of the wheel and the set reinforcement test coefficient, and generating the first radial load of the wheel includes:
And calculating the rated load of the wheel and the set reinforcement test coefficient through a formula F τ＝Fv Q to generate a first wheel radial load, wherein F τ is the first wheel radial load, F v is the rated load of the wheel, and Q is the reinforcement test coefficient.
Optionally, the calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass, generating the lateral stiffness value includes:
By the formula And calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass to generate a lateral stiffness value, wherein f 1 is the wheel lateral resonance frequency, f 2 is the wheel lateral anti-resonance frequency, M is the wheel mass and K is the lateral stiffness value.
Optionally, the calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameter, and generating the minimum wheel mass includes:
By the formula Calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate minimum wheel mass, wherein min M is the minimum wheel mass, F b is the bending fatigue damage value, F r is the radial fatigue damage value, K is the lateral stiffness value, and p1, p2, p3 and p4 … … are the wheel optimization parameters.
On the other hand, the embodiment of the invention provides a device for generating a wheel parameter model, which comprises the following steps:
the first generation module is used for calculating the plurality of obtained bending stress values through the bending fatigue calculation model to generate bending fatigue damage values;
the second generation module is used for calculating the plurality of obtained radial stress values through the radial fatigue calculation model to generate a radial fatigue damage value;
the third generation module is used for calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass to generate a lateral stiffness value;
the fourth generation module is used for calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate minimum wheel mass;
and a fifth generation module for generating the wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass.
On the other hand, the embodiment of the invention provides a storage medium, which comprises a stored program, wherein the device where the storage medium is controlled to execute the generation method of the wheel parameter model when the program runs.
In another aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory is configured to store information including program instructions, and the processor is configured to control execution of the program instructions, and the method is characterized in that the program instructions when loaded and executed by the processor implement the steps of the method for generating a wheel parameter model.
In the technical scheme of the generation method of the wheel parameter model, the obtained multiple bending stress values are calculated through the bending fatigue calculation model to generate bending fatigue damage values; calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value; calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value; calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass; and generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass, so that the efficiency and the accuracy of generating the wheel model parameters are improved.
[ Description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for generating a wheel parametric model according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for generating a wheel parametric model according to an embodiment of the present invention;
Fig. 3 is a schematic illustration of calculation of a load direction of a wheel according to an embodiment of the present invention;
FIG. 4 is a waveform diagram of a lateral anti-resonant frequency of a wheel and a lateral resonant frequency of a wheel according to an embodiment of the present invention;
Fig. 5 is a schematic structural diagram of a device for generating a wheel parameter model according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a computer device according to an embodiment of the present invention.
[ Detailed description ] of the invention
For a better understanding of the technical solution of the present invention, the following detailed description of the embodiments of the present invention refers to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one way of describing an association of associated objects, meaning that there may be three relationships, e.g., a and/or b, which may represent: the first and second cases exist separately, and the first and second cases exist separately. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The embodiment of the invention provides a method for generating a wheel parameter model, and fig. 1 is a flowchart of the method for generating the wheel parameter model, as shown in fig. 1, and the method comprises the following steps:
Step 102, calculating the obtained bending stress values through a bending fatigue calculation model to generate a bending fatigue damage value.
In an embodiment of the invention, the steps are performed by a computer device. The computer device includes: a computer, a tablet computer, or a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA for short).
As an alternative, the plurality of bending stress values obtained can be input into the fatigue analysis software FEMFAT for bending fatigue analysis calculations, resulting in bending fatigue analysis results. Inputting the bending fatigue analysis result into the post-processing analysis software META to post-process the bending fatigue analysis result, and generating a bending fatigue damage result. And reading the bending fatigue damage result by using a python script in the META software through the secondary development function of the META software to generate a bending fatigue damage value. For example, the bending fatigue damage value is 0.017 by calculating a plurality of obtained bending stress values by a bending fatigue calculation model.
And 104, calculating the obtained plurality of radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value.
As an alternative, the plurality of obtained radial stress values can be input into the fatigue analysis software FEMFAT for radial fatigue analysis calculations to generate a radial fatigue analysis result. Inputting the radial fatigue analysis result into post-processing analysis software META to post-process the radial fatigue analysis result, and generating a radial fatigue damage result. And reading the radial fatigue damage result by using a python script in the META software through the secondary development function of the META software to generate a radial fatigue damage value. For example, the plurality of obtained radial stress values are calculated by a radial fatigue calculation model, and a radial fatigue damage value of 0.06 is generated.
And 106, calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value.
Specifically, by the formulaAnd calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass to generate a lateral stiffness value, wherein f 1 is the wheel lateral resonance frequency, f 2 is the wheel lateral anti-resonance frequency and M is the wheel mass.
And 108, calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass.
Specifically, by the formulaCalculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass, wherein min M is the minimum wheel mass, F b is the bending fatigue damage value, F r is the radial fatigue damage value, K is the lateral stiffness value, and p1, p2, p3 and p4 … … are the wheel optimization parameters.
As an alternative, the optimization iteration number is set to the set number, and the convergence condition is satisfied when the variation of the minimum wheel mass is smaller than the set threshold, and the solution is stopped. In the embodiment of the present invention, the set times and the set threshold can be set according to actual needs, for example, the set times are 30 times, and the set threshold is 0.1%.
In the embodiment of the invention, after the convergence condition is met, the wheel parameter model is automatically updated once, the updated wheel optimization parameters are the optimal wheel optimization parameters, verification analysis is carried out on the optimal wheel optimization parameters, and finally all design constraints and design targets are met.
And 110, generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass.
In the embodiment of the invention, the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass can be input into the finite element analysis software ANSA to generate the wheel parameter model.
As an alternative, the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value, and the minimum wheel mass are input into finite element analysis software ANSA, and an appropriate Morph template is found from the Morph library of ANSA and imported. The imported morphing template is slightly modified aiming at the wheel structure corresponding to the current wheel parameter model, and the wheel parameter model is created through the morphing function of ANSA.
In the technical scheme provided by the embodiment of the invention, a plurality of obtained bending stress values are calculated through a bending fatigue calculation model to generate bending fatigue damage values; calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value; calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value; calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass; and generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass, so that the efficiency and the accuracy of generating the wheel model parameters are improved.
An embodiment of the present invention provides another method for generating a wheel parameter model, and fig. 2 is a flowchart of another method for generating a wheel parameter model provided by the embodiment of the present invention, as shown in fig. 2, where the method includes:
Step 202, calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set reinforcement test coefficient, and generating a first wheel bending moment, wherein the wheel offset distance comprises an inner wheel offset distance or an outer wheel offset distance.
Specifically, a first wheel bending moment is generated by calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set reinforcement test coefficient through a formula m1= (μr+d) F v S, wherein μ is the set friction coefficient, R is the tire static load radius, d is the wheel offset distance, F v is the wheel rated load, S is the reinforcement test coefficient, and M1 is the first wheel bending moment.
In the embodiment of the invention, when the wheel offset is a positive value, the wheel offset is an in-wheel offset; when the wheel offset is negative, the wheel offset is the wheel outer offset.
In the embodiment of the invention, the set friction coefficient and the strengthening test coefficient can be set according to GB 5334 2016-T passenger car wheel performance requirement and experiment method.
In the embodiment of the invention, the static load radius of the tire, the wheel offset and the rated load of the wheel can be set according to actual needs.
In an embodiment of the present invention, before step 202, the method further includes:
And receiving a wheel design instruction input by a user through three-dimensional CAD software CATIA to design the wheel and generate an initial wheel model. CAD data corresponding to the wheel initial model is imported into finite element analysis preprocessing software HYPERMESH, and data processing is carried out on the wheel initial model, wherein the data processing comprises grid drawing, boundary condition application and boundary load application, so that the calculation of bending fatigue damage values, radial fatigue damage values and lateral stiffness values in the subsequent steps is carried out.
Step 204, setting a plurality of bending moment directions for the first wheel bending moment, and generating a plurality of second wheel bending moments.
In the embodiment of the invention, a plurality of bending moment directions can be set through the concentrated force obtained by combining the forces of one sine component and one cosine component, so that sine and cosine values change along with time, the concentrated force is ensured not to change, and only the direction is changed, thereby setting a plurality of bending moment directions for the first wheel bending moment and generating a plurality of second wheel bending moments. Wherein, the concentrated force can be set according to actual conditions.
Step 206, calculating a plurality of second wheel bending moments and set wheel force arms to generate a plurality of bending stress values.
Specifically, a plurality of second wheel bending moments and set wheel moment arms are calculated through a formula m2=l×f to generate a plurality of bending stress values, where M2 is the second wheel bending moment, L is the wheel moment arm, and F is the bending stress value.
In the embodiment of the invention, the wheel arm of force can be set according to actual conditions, and as an alternative scheme, the wheel arm of force is 1m.
And step 208, calculating the obtained bending stress values through a bending fatigue calculation model to generate a bending fatigue damage value.
In the embodiment of the present invention, step 208 is specifically described with reference to step 102.
And 210, calculating the rated load of the wheel and the set reinforcement test coefficient to generate a first wheel radial load.
Specifically, the wheel rated load and the set reinforcement test coefficient are calculated through a formula F τ＝Fv Q to generate a first wheel radial load, wherein F τ is the first wheel radial load, F v is the wheel rated load, and Q is the reinforcement test coefficient.
Step 212, setting a plurality of load directions for the first wheel radial load, generating a plurality of second wheel radial loads.
In the embodiment of the invention, the outer side of the rim of the wheel bears the tire pressure effect, so that the resultant force of the whole circumferential direction is zero. The entire external load is thus transferred radially through the rim. The load is transferred at the plurality of contact locations of the rim bed to create a plurality of load directions at the plurality of contact locations.
In the embodiment of the invention, the load direction accords with the following formula:
Wherein W is the radial load born by the wheel, W 0 is the radial load peak, θ is the circumferential angle, θ 0 is the distribution range of the radial load of the wheel, F τ is the radial load of the first wheel, b is the rim bed width, and r b is the rim bed position radius. As an alternative, the distribution range of the wheel radial load can be set according to the actual situation, for example, the distribution range of the wheel radial load is 36 °. The rim bed width and the rim bed position radius can be set according to actual conditions.
Fig. 3 is a schematic calculation diagram of a load direction of a wheel according to an embodiment of the present invention, where, as shown in fig. 3, a radius of a rim bed is r b, a radial load distribution range of the wheel is θ 0, a radial load peak value is W 0, and a rim bed width is b.
Step 214, calculating a plurality of second wheel radial loads through a radial fatigue calculation model to generate a plurality of radial stress values.
As an alternative, a plurality of radial stress values are generated by calculation with the finite element analysis software ABAQUS. For example, the radial stress value includes 198MPa.
And step 216, calculating the obtained plurality of radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value.
In the embodiment of the present invention, step 216 is described in detail with reference to step 104.
And 218, calculating the obtained wheel initial model through a finite element analysis algorithm to generate a wheel lateral anti-resonance frequency and a wheel lateral resonance frequency.
In the embodiment of the invention, the wheel initial model can be input into a finite element solver Nastran for solving and calculating to generate a wheel result, and the wheel result file is input into post-processing analysis software META for post-processing to generate the wheel lateral anti-resonance frequency and the wheel lateral resonance frequency.
Fig. 4 is a waveform diagram of a lateral wheel anti-resonance frequency and a lateral wheel resonance frequency according to an embodiment of the present invention, where, as shown in fig. 4, the horizontal axis is the frequency, the vertical axis is the acceleration conversion direction, the value of the horizontal axis corresponding to the peak of the waveform diagram is the lateral wheel resonance frequency, and the value of the horizontal axis corresponding to the trough is the lateral wheel anti-resonance frequency. For example, the transverse axis of the trough corresponds to a value of 669.0Hz, i.e., the wheel side anti-resonant frequency is 669.0Hz, the transverse axis of the peak corresponds to a value of 1171.0Hz, and the wheel side resonant frequency is 1171.0Hz.
And 220, calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value.
In the embodiment of the present invention, step 220 is described in detail with reference to step 106.
And 222, calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass.
In the embodiment of the present invention, step 222 is specifically described with reference to step 108.
And 224, generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass.
In the embodiment of the present invention, step 224 is described in detail with reference to step 110.
As an alternative, step 224 further comprises, after: and uploading the wheel parameter model to a server. In the embodiment of the invention, the server comprises a physical server or a cloud server.
In the technical scheme provided by the embodiment of the invention, a plurality of obtained bending stress values are calculated through a bending fatigue calculation model to generate bending fatigue damage values; calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value; calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value; calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass; and generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass, so that the efficiency and the accuracy of generating the wheel model parameters are improved.
In the technical scheme provided by the embodiment of the invention, a set of morphism database can be created through ANSA-morphism tools. The morphing database is provided with a plurality of standard morphing templates, can be matched with the similar morphing templates according to the initial model of the wheel, is used for quickly creating wheel optimization parameters, and is used for creating a wheel parameter model based on a ANSA TASK MANAGER multidisciplinary cooperative setting tool. The wheel parameter model which is created is seamlessly used in a wheel optimization design flow template based on LSOPT software environment, namely calculation of the bending fatigue damage value, the radial fatigue damage value, the lateral rigidity value and the like of the wheel can be automatically completed, and finally the wheel parameter model which meets all design requirements is obtained. The optimization process of the wheel can be completed by only calling the wheel optimization design flow template when the wheel parameter model is generated each time, and the complicated operation processes such as setting of a large number of optimization solving parameters, modification of the model, reading of results and the like are not needed.
According to the technical scheme provided by the embodiment of the invention, the technical problem of non-uniform design optimization results of the wheel parameter model caused by complex operation, no standardization, random standardization and no flow in the process of generating the wheel parameter model in the related technology is solved. And further solves the problems of long development period, inconsistent optimization effect and the like of the generated wheel parameter model.
According to the technical scheme provided by the embodiment of the invention, through the wheel multidisciplinary performance optimization design platform, an engineer can automatically complete the generation of the wheel parameter model based on the platform after only carrying out a small amount of wheel initial data design and basic performance analysis operation, and finally the wheel parameter model meeting all performance requirements is obtained. The generation of the wheel parameter model can be completed only according to the wheel optimal design flow without a great deal of software operation of engineers, and the development period is shortened.
The embodiment of the invention provides a device for generating a wheel parameter model. Fig. 5 is a schematic structural diagram of a device for generating a parameter model of a wheel according to an embodiment of the present invention, as shown in fig. 5, where the device includes: a first generation module 11, a second generation module 12, a third generation module 13, a fourth generation module 14 and a fifth generation module 15.
The first generation module 11 is configured to calculate the plurality of obtained bending stress values by using a bending fatigue calculation model, and generate a bending fatigue damage value.
The second generation module 12 is configured to calculate the obtained plurality of radial stress values through a radial fatigue calculation model, and generate a radial fatigue damage value.
The third generation module 13 is configured to calculate the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel, and the set mass of the wheel, and generate a lateral stiffness value.
The fourth generation module 14 is configured to calculate a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value, and a set wheel optimization parameter, and generate a minimum wheel mass.
The fifth generation module 15 is configured to generate a wheel parametric model based on the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value, and the minimum wheel mass.
In the embodiment of the invention, the device further comprises: a sixth generation module 16, a seventh generation module 17 and an eighth generation module 18.
The sixth generation module 16 is configured to calculate a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load, and a set reinforcement test coefficient, and generate a first wheel bending moment, where the wheel offset distance includes an in-wheel offset distance or an out-wheel offset distance.
The seventh generation module 17 is configured to set a plurality of bending moment directions for the first wheel bending moment and generate a plurality of second wheel bending moments.
The eighth generating module 18 is configured to calculate a plurality of second wheel bending moments and set wheel moment arms, and generate a plurality of bending stress values.
In the embodiment of the invention, the device further comprises: a ninth generation module 19, a tenth generation module 20 and an eleventh generation module 21.
The ninth generation module 19 is configured to calculate a wheel rated load and a set reinforcement test coefficient, and generate a first wheel radial load.
The tenth generation module 20 is configured to set a plurality of load directions for the first wheel radial load and generate a plurality of second wheel radial loads.
The eleventh generation module 21 is configured to calculate a plurality of second wheel radial loads via a radial fatigue calculation model, and generate a plurality of radial stress values.
In the embodiment of the invention, the device further comprises: a twelfth generation module 22.
The twelfth generation module 22 is configured to calculate the obtained wheel initial model by using a finite element analysis algorithm, and generate a wheel lateral anti-resonance frequency and a wheel lateral resonance frequency.
In the embodiment of the present invention, the ninth generating module 19 is specifically configured to calculate the rated load of the wheel and the set reinforcement test coefficient by using a formula F τ＝Fv Q, and generate the first wheel radial load, where F τ is the first wheel radial load, F v is the rated load of the wheel, and Q is the reinforcement test coefficient.
In the embodiment of the present invention, the third generating module 13 is specifically configured to pass through the formulaAnd calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass to generate a lateral stiffness value, wherein f 1 is the wheel lateral resonance frequency, f 2 is the wheel lateral anti-resonance frequency, M is the wheel mass and K is the lateral stiffness value.
In the embodiment of the present invention, the fourth generating module 14 is specifically configured to pass through the formulaCalculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass, wherein min M is the minimum wheel mass, F b is the bending fatigue damage value, F r is the radial fatigue damage value, K is the lateral stiffness value, and p1, p2, p3 and p4 … … are the wheel optimization parameters.
In the technical scheme provided by the embodiment of the invention, a plurality of obtained bending stress values are calculated through a bending fatigue calculation model to generate bending fatigue damage values; calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value; calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value; calculating a bending fatigue damage value, a radial fatigue damage value, a lateral stiffness value and set wheel optimization parameters to generate minimum wheel mass; and generating a wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass, so that the efficiency and the accuracy of generating the wheel model parameters are improved.
The apparatus for generating a wheel parameter model according to the present embodiment may be used to implement the method for generating a wheel parameter model in fig. 1 and 2, and the detailed description may refer to the embodiment of the method for generating a wheel parameter model, and the description will not be repeated here.
The embodiment of the invention provides a storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the storage medium is located to execute the steps of the embodiment of the generation method of the wheel parameter model, and specific description can be seen from the embodiment of the generation method of the wheel parameter model.
The embodiment of the invention provides a computer device, which comprises a memory and a processor, wherein the memory is used for storing information comprising program instructions, the processor is used for controlling the execution of the program instructions, and the program instructions realize the steps of the embodiment of the generation method of the wheel parameter model when being loaded and executed by the processor.
Fig. 6 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 6, the computer device 30 of this embodiment includes: the processor 31, the memory 32, and the computer program 33 stored in the memory 32 and capable of running on the processor 31, where the computer program 33 when executed by the processor 31 implements the method for generating a wheel parameter model according to the embodiment, and is not described herein in detail to avoid repetition. Or the computer program when executed by the processor 31, performs the functions of each model/unit in the generating device applied to the wheel parameter model in the embodiment, and is not described herein in detail for avoiding repetition.
Computer device 30 includes, but is not limited to, a processor 31, a memory 32. It will be appreciated by those skilled in the art that fig. 6 is merely an example of computer device 30 and is not intended to limit computer device 30, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., a computer device may also include an input-output device, a network access device, a bus, etc.
The Processor 31 may be a central processing unit (Central Processing Unit, CPU), other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 32 may be an internal storage unit of the computer device 30, such as a hard disk or memory of the computer device 30. The memory 32 may also be an external storage device of the computer device 30, such as a plug-in hard disk provided on the computer device 30, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like. Further, the memory 32 may also include both internal and external storage units of the computer device 30. The memory 32 is used to store computer programs and other programs and data required by the computer device. The memory 32 may also be used to temporarily store data that has been output or is to be output.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of 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.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.
Claims (9)
1. A method of generating a parametric model of a wheel, comprising:
calculating the obtained bending stress values through a bending fatigue calculation model to generate a bending fatigue damage value;
calculating the obtained multiple radial stress values through a radial fatigue calculation model to generate a radial fatigue damage value;
calculating the obtained lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value;
Calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate minimum wheel mass;
generating the wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel mass;
the method for calculating the bending stress values through the bending fatigue calculation model comprises the following steps:
Calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set reinforcement test coefficient to generate a first wheel bending moment, wherein the wheel offset distance comprises an inner wheel offset distance or an outer wheel offset distance;
setting a plurality of bending moment directions for the first wheel bending moment to generate a plurality of second wheel bending moments;
And calculating a plurality of second wheel bending moments and set wheel force arms to generate a plurality of bending stress values.
2. The method of claim 1, wherein the calculating the plurality of radial stress values obtained by the radial fatigue calculation model, prior to generating the radial fatigue damage value, comprises:
Calculating the rated load of the wheel and the set reinforcement test coefficient to generate a first wheel radial load;
Setting a plurality of load directions for the first wheel radial load, generating a plurality of second wheel radial loads;
And calculating a plurality of second wheel radial loads through a radial fatigue calculation model to generate a plurality of radial stress values.
3. The method of claim 1, wherein calculating the acquired wheel lateral anti-resonance frequency, wheel lateral resonance frequency, and set wheel mass, prior to generating the lateral stiffness value comprises:
And calculating the obtained wheel initial model through a finite element analysis algorithm to generate a wheel lateral anti-resonance frequency and a wheel lateral resonance frequency.
4. The method of claim 2, wherein calculating the wheel load rating and the set reinforcement test factor to generate the first wheel radial load comprises:
And calculating the rated load of the wheel and the set reinforcement test coefficient through a formula F τ＝Fv Q to generate a first wheel radial load, wherein F τ is the first wheel radial load, F v is the rated load of the wheel, and Q is the reinforcement test coefficient.
5. The method of claim 1, wherein calculating the acquired wheel lateral anti-resonance frequency, wheel lateral resonance frequency, and set wheel mass, generating the lateral stiffness value comprises:
By the formula And calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass to generate a lateral stiffness value, wherein f 1 is the wheel lateral resonance frequency, f 2 is the wheel lateral anti-resonance frequency, M is the wheel mass and K is the lateral stiffness value.
6. The method of claim 1, wherein the calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value, and the set wheel optimization parameter, generating a minimum wheel mass comprises:
By the formula Calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate minimum wheel mass, wherein min M is the minimum wheel mass, F b is the bending fatigue damage value, F r is the radial fatigue damage value, K is the lateral stiffness value, and p1, p2, p3 and p4 … … are the wheel optimization parameters.
7. A generation apparatus of a wheel parameter model, comprising:
the first generation module is used for calculating the plurality of obtained bending stress values through the bending fatigue calculation model to generate bending fatigue damage values;
the second generation module is used for calculating the plurality of obtained radial stress values through the radial fatigue calculation model to generate a radial fatigue damage value;
the third generation module is used for calculating the obtained wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass to generate a lateral stiffness value;
the fourth generation module is used for calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate minimum wheel mass;
A fifth generation module for generating the wheel parameter model according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and a minimum wheel mass;
The sixth generation module is used for calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set reinforcement test coefficient to generate a first wheel bending moment, wherein the wheel offset distance comprises an inner wheel offset distance or an outer wheel offset distance;
the seventh generating module is used for setting a plurality of bending moment directions for the first wheel bending moment and generating a plurality of second wheel bending moments;
and the eighth generation module is used for calculating a plurality of second wheel bending moments and set wheel force arms and generating a plurality of bending stress values.
8. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the method of generating a parametric model of a wheel as claimed in any one of claims 1 to 6.
9. A computer device comprising a memory for storing information including program instructions and a processor for controlling execution of the program instructions, characterized in that the program instructions, when loaded and executed by the processor, implement the steps of the method of generating a wheel parametric model as claimed in any one of claims 1 to 6.
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| CN114235448B (en) * | 2021-12-08 | 2024-07-12 | 中车青岛四方机车车辆股份有限公司 | Rail vehicle bogie wheel fatigue damage assessment method and system |
| CN114624021B (en) * | 2022-02-22 | 2023-07-25 | 东风汽车集团股份有限公司 | Test bed, torsion fatigue test method for transmission locking mechanism and related equipment |
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