CN112818462A - 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 multiple bending stress values through a bending fatigue calculation model to generate bending fatigue damage values; calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values; 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 the 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
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of vehicles, in particular to a method and a device for generating a wheel parameter model, a storage medium and computer equipment.
[ background of the invention ]
For the wheel parameter model generation method, the requirements of fatigue, strength, rigidity and other properties need to be considered at the same time. The wheel failure is most often fatigue failure, so the conditions that need to be considered mainly include bending fatigue damage values and radial fatigue damage values. Meanwhile, the lateral stiffness value of the wheel has an important influence on the overall road noise performance.
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 calculations, post-processing of results, checking of optimization schemes, and the like. The whole process can spend a large amount of time for the setting of software for the development cycle of wheel parameter model is longer, and because whole process needs a large amount of manual operations, causes different engineers to carry out the result that analysis design obtained to be different, has reduced the efficiency and the accuracy of generating wheel model parameter.
[ summary of the invention ]
In view of the above, 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 efficiency and accuracy of generating parameters of a wheel model.
In one aspect, an embodiment of the present invention provides a method for generating a wheel parameter model, including:
calculating the obtained multiple bending stress values through a bending fatigue calculation model to generate bending fatigue damage values;
calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values;
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 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, by the bending fatigue calculation model, the obtained multiple bending stress values, and before generating the bending fatigue damage value, includes:
calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set strengthening test coefficient to generate a first wheel bending moment, wherein the wheel offset distance comprises a wheel inner offset distance or a wheel outer 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 the second wheel bending moment and the set wheel moment arm 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 strengthening test coefficient to generate a first radial load of the wheel;
setting a plurality of load directions for the first wheel radial load, generating a plurality of second wheel radial loads;
and calculating the plurality of second wheel radial loads through a radial fatigue calculation model to generate a plurality of radial stress values.
Optionally, the calculating the acquired wheel lateral anti-resonance frequency, the wheel lateral resonance frequency and the set wheel mass comprises, before generating the lateral stiffness value:
and calculating the obtained wheel initial model through a finite element analysis algorithm to generate the lateral anti-resonance frequency and the lateral resonance frequency of the wheel.
Optionally, the calculating the wheel rated load and the set strengthening test coefficient and the generating the first wheel radial load comprises:
by the formula Fτ＝FvQ, calculating the rated load of the wheel and the set strengthening test coefficient to generate a first radial load of the wheel, wherein FτFor said first wheel radial load, FvAnd Q is the strengthening test coefficient.
Optionally, the calculating the acquired lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel, and the set wheel mass, and the generating the lateral stiffness value includes:
by the formula
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, wherein f1Is the lateral resonance frequency of the wheel, f2And the lateral anti-resonance frequency of the wheel is M, the mass of the wheel is M, and the lateral stiffness value is K.
Optionally, the calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value, and the set wheel optimization parameter, and the 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 set wheel optimization parameters to generate minimum wheel mass, wherein min M is the minimum wheel mass, F is the minimum wheel massbIs that it isFlexural fatigue damage value, FrAnd K is the lateral stiffness value, and p1, p2, p3 and p4 … … are the wheel optimization parameters.
In another aspect, an embodiment of the present invention provides a device for generating a wheel parameter model, including:
the first generation module is used for calculating the obtained multiple bending stress values through a bending fatigue calculation model to generate bending fatigue damage values;
the second generation module is used for calculating the plurality of acquired radial stress values through the radial fatigue calculation model to generate radial fatigue damage values;
the third generation module is used for calculating the acquired 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;
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 the minimum wheel mass;
and the fifth generation module is used 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.
In another aspect, an embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, where the apparatus where the storage medium is located is controlled to execute the above-mentioned method for generating a wheel parameter model when the program runs.
In another aspect, an embodiment of the present invention provides a computer device, including a memory for storing information including program instructions and a processor for controlling execution of the program instructions, wherein the program instructions are loaded and executed by the processor to implement the steps of the method for generating a wheel parameter model described above.
According to the technical scheme of the generation method of the wheel parameter model, the obtained multiple bending stress values are calculated through a bending fatigue calculation model, and bending fatigue damage values are generated; calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values; 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 the minimum wheel mass; and a wheel parameter model is generated according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel quality, so that the efficiency and the accuracy of generating 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 needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a flowchart of a method for generating a wheel parameter model according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for generating a wheel parameter model according to an embodiment of the present invention;
FIG. 3 is a schematic view illustrating a calculation of a load direction of a wheel according to an embodiment of the present invention;
FIG. 4 is a waveform of a wheel side anti-resonance frequency and a wheel side resonance frequency provided by 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 ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present 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 the examples of the present invention 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 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.
An embodiment of the present invention provides a method for generating a wheel parameter model, and fig. 1 is a flowchart of the method for generating a wheel parameter model according to the embodiment of the present invention, as shown in fig. 1, the method includes:
and 102, calculating the obtained bending stress values through a bending fatigue calculation model to generate a bending fatigue damage value.
In the embodiment of the invention, each step is executed by computer equipment. The computer device includes: a computer, a tablet computer, or a Personal Digital Assistant (PDA).
As an alternative, the acquired bending stress values can be input into the fatigue analysis software femmat for bending fatigue analysis calculation, and a bending fatigue analysis result is generated. And inputting the bending fatigue analysis result into post-processing analysis software META to perform post-processing on the bending fatigue analysis result to generate a bending fatigue damage result. And reading the bending fatigue damage result by utilizing a python script in the META software through a secondary development function of the META software to generate a bending fatigue damage value. For example, the obtained bending stress values are calculated by a bending fatigue calculation model, and the resulting bending fatigue damage value is 0.017.
And 104, calculating the obtained plurality of radial stress values through a radial fatigue calculation model to generate radial fatigue damage values.
As an alternative, the obtained plurality of radial stress values can be input into the fatigue analysis software femmat for radial fatigue analysis calculation, and a radial fatigue analysis result is generated. And inputting the radial fatigue analysis result into post-processing analysis software META to perform post-processing on the radial fatigue analysis result to generate a radial fatigue damage result. And reading the radial fatigue damage result by utilizing a python script in the META software through a secondary development function of the META software to generate a radial fatigue damage value. For example, the obtained plurality of 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 acquired lateral anti-resonance frequency and lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value.
In particular, by the formula
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, wherein f1Is the lateral resonance frequency of the wheel, f2The lateral anti-resonance frequency of the wheel is shown, and M is the mass of the wheel.
And step 108, calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate the minimum wheel mass.
In particular, 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 the minimum wheel mass, wherein min M is the minimum wheel mass, F is the minimum wheel massbIs a flexural fatigue damage value, FrFor the radial fatigue damage value, K is a lateral stiffness value, and p1, p2, p3 and p4 … … are wheel optimization parameters.
As an alternative, the number of optimization iterations is set to a set number, and a convergence condition is satisfied when the change in the minimum wheel mass is less than a set threshold, and the solution is stopped. In the embodiment of the present invention, the set number of times and the set threshold can be set according to actual needs, for example, the set number of times is 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, and the optimal wheel optimization parameters are verified and analyzed, so that all design constraints and design targets are finally 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 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 a finite element analysis software ANSA, and a suitable Morph template is found from the Morph library of the ANSA and imported. And slightly modifying the imported Morph template aiming at the wheel structure corresponding to the current wheel parameter model, and creating the wheel parameter model through the Morph function of ANSA.
In the technical scheme provided by the embodiment of the invention, a plurality of acquired bending stress values are calculated through a bending fatigue calculation model to generate bending fatigue damage values; calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values; 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 the minimum wheel mass; and a wheel parameter model is generated according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel quality, so that the efficiency and the accuracy of generating 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 according to an embodiment of the present invention, and as shown in fig. 2, the method includes:
Specifically, by the formula M1 ═ (μ R + d) FvS, calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set strengthening test coefficient to generate a first wheel bending moment, wherein mu is the set friction coefficient, R is the tire static load radius, d is the wheel offset distance, FvAnd the rated load of the wheel, S is a strengthening 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 the wheel inner offset; when the wheel offset is a negative value, 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 53342016-T passenger vehicle wheel performance requirements and experimental methods.
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 requirements.
In the 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 a wheel initial model. And importing CAD data corresponding to the wheel initial model into finite element analysis preprocessing software Hypermesh, and performing data processing on the wheel initial model, wherein the data processing comprises grid drawing, boundary condition application and boundary load application, so as to be used for calculating a bending fatigue damage value, a radial fatigue damage value and a lateral stiffness value in subsequent steps.
And 204, setting a plurality of bending moment directions for the first wheel bending moment to generate 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 synthesizing the forces of a sine component and a cosine component, so that the sine and cosine values change along with the change of time, the concentrated force is ensured to be unchanged, and the directions are changed only, so that a plurality of bending moment directions are set for the first wheel bending moment, and a plurality of second wheel bending moments are generated. Wherein the concentration force can be set according to actual conditions.
And step 206, calculating the plurality of second wheel bending moments and the set wheel moment arms to generate a plurality of bending stress values.
Specifically, a plurality of second wheel bending moments and the set wheel moment arms are calculated according to a formula M2 ═ L × F, and a plurality of bending stress values are generated, 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 moment arm can be set according to actual conditions, and as an alternative, the wheel moment arm is 1 m.
And step 208, calculating the obtained bending stress values through the bending fatigue calculation model to generate a bending fatigue damage value.
In the embodiment of the present invention, please refer to step 102 for the detailed description of step 208.
And step 210, calculating the rated load of the wheel and the set strengthening test coefficient to generate a first radial load of the wheel.
In particular, by the formula Fτ＝FvQ, calculating the rated load of the wheel and the set strengthening test coefficient to generate a first radial load of the wheel, wherein FτFor the first wheel radial load, FvThe rated load of the wheel and Q is a strengthening test coefficient.
In the embodiment of the invention, the outer side of the rim of the wheel bears the action of the tire pressure, so that the total circumferential force is zero. The entire external load is thus transmitted radially through the rim. The load is transmitted by acting on a plurality of contact points of the rim bead seat, so that a plurality of load directions are formed at the plurality of contact points.
In the embodiment of the invention, the load direction accords with the following formula:
wherein W is the radial load borne by the wheel, W0For the peak radial load, theta is the circumferential angle, theta0Distribution range of radial load of wheel, FτIs the first wheel radial load, b is the rim bead seat width, rbIs the radius of the tire seat position of the rim. 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 tire seat width and the rim tire seat position radius can be set according to actual conditions.
FIG. 3 is a schematic view of a calculation of the load direction of a wheel according to an embodiment of the present invention, as shown in FIG. 3, the radius of the tire seat position of the rim of the wheel is rbThe distribution range of the radial load of the wheel is theta0Peak value of radial load W0And the width of the tire seat of the wheel rim is b.
As an alternative, a plurality of radial stress values are generated by calculations performed by the finite element analysis software ABAQUS. For example, the radial stress value includes 198 MPa.
And step 216, calculating the obtained plurality of radial stress values through a radial fatigue calculation model to generate radial fatigue damage values.
In the embodiment of the present invention, please refer to step 104 for a detailed description of step 216.
And step 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 calculation to generate a wheel result, and the wheel result file is input into post-processing analysis software META for post-processing to generate the lateral anti-resonance frequency and the lateral resonance frequency of the wheel.
Fig. 4 is a waveform diagram of a wheel lateral anti-resonance frequency and a wheel lateral resonance frequency according to an embodiment of the present invention, as shown in fig. 4, a horizontal axis represents a frequency, a vertical axis represents an acceleration conversion direction, a value of the horizontal axis corresponding to a peak of the waveform diagram is the wheel lateral resonance frequency, and a value of the horizontal axis corresponding to a trough of the waveform diagram is the wheel lateral anti-resonance frequency. For example, the horizontal axis of the valley corresponds to 669.0Hz, i.e., the wheel side anti-resonance frequency is 669.0Hz, the horizontal axis of the peak corresponds to 1171.0Hz, and the wheel side resonance frequency is 1171.0 Hz.
And step 220, calculating the acquired lateral anti-resonance frequency and lateral resonance frequency of the wheel and the set wheel mass to generate a lateral stiffness value.
In the embodiment of the present invention, please refer to step 106 for the detailed description of step 220.
In the embodiment of the present invention, please refer to step 108 for the detailed description of step 222.
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, please refer to step 110 for a detailed description of step 224.
As an alternative, step 224 is followed by: 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 acquired bending stress values are calculated through a bending fatigue calculation model to generate bending fatigue damage values; calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values; 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 the minimum wheel mass; and a wheel parameter model is generated according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel quality, so that the efficiency and the accuracy of generating wheel model parameters are improved.
In the technical scheme provided by the embodiment of the invention, a set of Morph database can be created through an ANSA-Morph tool. The Morph database is provided with a plurality of standard Morph templates, can be used for matching approximate Morph templates according to a wheel initial model, is used for quickly establishing wheel optimization parameters, and establishes a wheel parameter model based on a multidisciplinary collaborative setting tool of ANSA Task Manager. And the created wheel parameter model is seamlessly used in a wheel optimization design flow template based on an LSOPT software environment, so that the calculation of the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the like of the wheel can be automatically completed, and the wheel parameter model meeting all design requirements is finally obtained. The optimization process of the wheel can be completed only by calling a wheel optimization design flow template when a wheel parameter model is generated every time, and complex 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.
The technical scheme provided by the embodiment of the invention solves the technical problem of non-uniform design optimization results of the wheel parameter model caused by complex operation, no standardization, no normalization and no process in the process of generating the wheel parameter model in the related technology. And the problems of long development period, inconsistent optimization effect and the like of the generated wheel parameter model are solved.
In the technical scheme provided by the embodiment of the invention, through the wheel multidisciplinary performance optimization design platform, an engineer only needs to design a small amount of wheel initial data and perform basic performance analysis operation, and then can automatically complete the generation of the wheel parameter model based on the platform, and finally obtain the wheel parameter model meeting all performance requirements. The generation of the wheel parameter model can be completed only according to the wheel optimization design flow without a great amount of software operation of engineers, and the development period is shortened.
The embodiment of the invention provides a generation device of a wheel parameter model. Fig. 5 is a schematic structural diagram of a device for generating a wheel parameter model according to an embodiment of the present invention, and as shown in fig. 5, 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 generating module 11 is configured to calculate the obtained multiple bending stress values through a bending fatigue calculation model, and generate a bending fatigue damage value.
The second generating module 12 is configured to calculate the obtained multiple radial stress values through a radial fatigue calculation model, so as to generate a radial fatigue damage value.
The third generation module 13 is configured to calculate the acquired lateral anti-resonance frequency of the wheel, the lateral resonance frequency of the wheel, and the set wheel mass, 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 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, the apparatus further includes: a sixth generation module 16, a seventh generation module 17 and an eighth generation module 18.
The sixth generating module 16 is configured to calculate a set friction coefficient, a set tire static load radius, a set wheel offset, a set wheel rated load, and a set reinforcement test coefficient, and generate a first wheel bending moment, where the wheel offset includes a wheel inner offset or a wheel outer offset.
The seventh generating 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 the set wheel moment arms, and generate a plurality of bending stress values.
In the embodiment of the present invention, the apparatus further includes: a ninth generating module 19, a tenth generating module 20 and an eleventh generating module 21.
The ninth generating 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 generating module 20 is configured to set a plurality of load directions to the first wheel radial load and generate a plurality of second wheel radial loads.
The eleventh generating module 21 is configured to calculate the plurality of second wheel radial loads through a radial fatigue calculation model, and generate a plurality of radial stress values.
In the embodiment of the present invention, the apparatus further includes: a twelfth generating module 22.
The twelfth generating module 22 is configured to calculate the obtained wheel initial model through 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 use the formula Fτ＝FvQ, calculating the rated load of the wheel and the set strengthening test coefficient to generateFirst wheel radial load, wherein FτFor the first wheel radial load, FvThe rated load of the wheel and Q is a strengthening test coefficient.
In this embodiment of the present invention, the third generating module 13 is specifically configured to pass a formula
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, wherein f1Is the lateral resonance frequency of the wheel, f2The lateral anti-resonance frequency of the wheel is shown, M is the mass of the wheel, and K is the lateral stiffness value.
In this embodiment of the present invention, the fourth generating module 14 is specifically configured to pass a formula
Calculating the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the set wheel optimization parameters to generate the minimum wheel mass, wherein min M is the minimum wheel mass, F is the minimum wheel massbIs a flexural fatigue damage value, FrFor the radial fatigue damage value, K is a lateral stiffness value, and p1, p2, p3 and p4 … … are wheel optimization parameters.
In the technical scheme provided by the embodiment of the invention, a plurality of acquired bending stress values are calculated through a bending fatigue calculation model to generate bending fatigue damage values; calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values; 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 the minimum wheel mass; and a wheel parameter model is generated according to the bending fatigue damage value, the radial fatigue damage value, the lateral stiffness value and the minimum wheel quality, so that the efficiency and the accuracy of generating wheel model parameters are improved.
The wheel parameter model generation device provided in this embodiment may be used to implement the wheel parameter model generation method in fig. 1 and fig. 2, and specific description may refer to an embodiment of the wheel parameter model generation method described above, and a description thereof is not repeated here.
Embodiments of the present invention provide a storage medium, where the storage medium includes a stored program, where, when the program runs, a device in which the storage medium is located is controlled to execute each step of the above-mentioned embodiment of the method for generating a wheel parameter model, and specific descriptions may refer to the above-mentioned embodiment of the method for generating a wheel parameter model.
Embodiments of the present invention provide a computer device, comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, which when loaded and executed by the processor, implement the steps of an embodiment of the method for generating a wheel parameter model as described above, with particular reference to the embodiment of the method for generating a wheel parameter model as described above.
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 is executed by the processor 31 to implement the generation method applied to the wheel parameter model in the embodiment, and in order to avoid repetition, details are not repeated herein. Alternatively, the computer program is executed by the processor 31 to implement the functions of each model/unit in the device for generating a wheel parameter model in the embodiment, which are not described herein again to avoid redundancy.
The computer device 30 includes, but is not limited to, a processor 31, a memory 32. Those skilled in the art will appreciate that fig. 6 is merely an example of a computer device 30 and is not intended to limit the computer device 30 and that it may include more or fewer components than shown, or some components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The Processor 31 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 32 may be an internal storage unit of the computer device 30, such as a hard disk or a 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 Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and 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 for storing 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 is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit 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) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of generating a parametric model of a wheel, comprising:
calculating the obtained multiple bending stress values through a bending fatigue calculation model to generate bending fatigue damage values;
calculating a plurality of acquired radial stress values through a radial fatigue calculation model to generate radial fatigue damage values;
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 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.
2. The method of claim 1, wherein calculating the plurality of acquired bending stress values through a bending fatigue calculation model comprises, prior to generating the bending fatigue damage values:
calculating a set friction coefficient, a set tire static load radius, a set wheel offset distance, a set wheel rated load and a set strengthening test coefficient to generate a first wheel bending moment, wherein the wheel offset distance comprises a wheel inner offset distance or a wheel outer 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 the second wheel bending moment and the set wheel moment arm to generate a plurality of bending stress values.
3. The method of claim 1, wherein calculating the plurality of obtained radial stress values through a radial fatigue calculation model comprises, prior to generating the radial fatigue damage values:
calculating the rated load of the wheel and the set strengthening test coefficient to generate a first radial load of the wheel;
setting a plurality of load directions for the first wheel radial load, generating a plurality of second wheel radial loads;
and calculating the plurality of second wheel radial loads through a radial fatigue calculation model to generate a plurality of radial stress values.
4. The method of claim 1, wherein calculating the acquired wheel side resonance frequency, the wheel side resonance frequency, and the set wheel mass comprises, prior to generating the lateral stiffness value:
and calculating the obtained wheel initial model through a finite element analysis algorithm to generate the lateral anti-resonance frequency and the lateral resonance frequency of the wheel.
5. The method of claim 3, wherein calculating the wheel load rating and the set reinforcement test factor and generating the first wheel radial load comprises:
by the formula Fτ＝FvQ, calculating the rated load of the wheel and the set strengthening test coefficient to generate a first radial load of the wheel, wherein FτFor said first wheel radial load, FvAnd Q is the strengthening test coefficient.
6. The method of claim 1, wherein calculating the acquired wheel side resonance frequency, the wheel side resonance frequency, and the set wheel mass, and generating the lateral stiffness value comprises:
by the formula
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, wherein f1Is the lateral resonance frequency of the wheel, f2And the lateral anti-resonance frequency of the wheel is M, the mass of the wheel is M, and the lateral stiffness value is K.
7. 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 set wheel optimization parameters to generate minimum wheel mass, wherein min M is the minimum wheel mass, F is the minimum wheel massbIs the flexural fatigue damage value, FrAnd K is the lateral stiffness value, and p1, p2, p3 and p4 … … are the wheel optimization parameters.
8. A device for generating a parametric model of a wheel, comprising:
the first generation module is used for calculating the obtained multiple bending stress values through a bending fatigue calculation model to generate bending fatigue damage values;
the second generation module is used for calculating the plurality of acquired radial stress values through the radial fatigue calculation model to generate radial fatigue damage values;
the third generation module is used for calculating the acquired 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;
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 the minimum wheel mass;
and the fifth generation module is used 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.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein the apparatus in which the storage medium is located is controlled to perform the method of generating a wheel parameter model according to any one of claims 1 to 7 when the program is run.
10. A computer device comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, characterized in that the program instructions are loaded and executed by the processor to implement the steps of the method of generating a wheel parameter model according to any one of claims 1 to 7.
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