CN108256183B - Rim model determining method and device - Google Patents
Rim model determining method and device Download PDFInfo
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- CN108256183B CN108256183B CN201810003020.2A CN201810003020A CN108256183B CN 108256183 B CN108256183 B CN 108256183B CN 201810003020 A CN201810003020 A CN 201810003020A CN 108256183 B CN108256183 B CN 108256183B
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Abstract
The invention provides a rim model determining method and a rim model determining device. The method comprises the following steps: obtaining N preset rim models, wherein N is an integer greater than or equal to 2; acquiring the mass, first-order transverse resonance frequency, first-order transverse anti-resonance frequency and lateral stiffness of each preset rim model; acquiring a first interval of mass, a second interval of a ratio of first-order transverse anti-resonance frequency to first-order transverse resonance frequency and a third interval of lateral stiffness; acquiring M preset rim models which meet the requirements that the ratio of mass in a first interval, first-order transverse anti-resonance frequency and first-order transverse resonance frequency is in a second interval and lateral rigidity is in a third interval, wherein M is an integer less than or equal to N; and determining a target rim model according to the lateral rigidity or the mass of the M preset rim models, so that the efficiency of determining the rim model is improved.
Description
Technical Field
The embodiment of the invention relates to the automobile technology, in particular to a rim model determining method and a rim model determining device.
Background
The rim is an important component of an automobile, and is a key transmission path of noise in the automobile caused by road excitation, wherein a lateral rigidity index determining the performance of the rim is particularly important. Insufficient lateral stiffness of the rim not only leads to driving risks, but also causes the road noise level of the vehicle to be poor, and affects the comfort of passengers. Therefore, in the process of determining the model of the rim, the lateral stiffness index of the rim needs to be determined so as to improve the driving safety of the vehicle and improve the riding experience of passengers.
In general, the lateral stiffness index of the automobile rim model is determined by adjusting a rim structure model in tool software for multiple times by engineering technicians according to experience, simulating the rim structure model after multiple adjustments by the tool software to obtain multiple groups of rim structure models and corresponding lateral stiffness and mass, and selecting the rim model meeting the requirements as a final model.
In the prior art, an engineer adjusts the rim structure in tool software according to past experience, and a great deal of time and energy are needed to try as many rim structures as possible to obtain a rim model meeting the requirements.
Disclosure of Invention
The invention provides a rim model determining method and a rim model determining device, which are used for improving the efficiency of determining a rim model.
In a first aspect:
the embodiment of the invention provides a rim model determining method, which comprises the following steps: obtaining N preset rim models, wherein N is an integer greater than or equal to 2; acquiring the mass, first-order transverse resonance frequency, first-order transverse anti-resonance frequency and lateral stiffness of each preset rim model; acquiring a first interval of mass, a second interval of a ratio of first-order transverse anti-resonance frequency to first-order transverse resonance frequency and a third interval of lateral stiffness; acquiring M preset rim models which meet the requirements that the ratio of mass in the first interval, first-order transverse resonance frequency and first-order transverse resonance frequency is in the second interval and lateral rigidity is in the third interval, wherein M is an integer less than or equal to N; and determining a target rim model according to the lateral rigidity or the mass of the M preset rim models.
Optionally, the determining a target rim model according to the lateral stiffness or the mass of the M preset rim models includes: and determining the rim model with the maximum lateral rigidity in the M preset rim models as a target rim model.
Optionally, the determining a target rim model according to the lateral stiffness or the mass of the M preset rim models includes: and determining the rim model with the minimum quality in the M preset rim models as a target rim model.
Optionally, the obtaining the mass, the first order transverse resonance frequency, the first order transverse anti-resonance frequency, and the lateral stiffness of each preset rim model includes: obtaining the corresponding mass of the preset rim model according to the attribute of the rim material and the preset rim model; according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model; and acquiring the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency.
Optionally, the obtaining the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency, and the first-order transverse anti-resonance frequency includes: according to
Acquiring the lateral rigidity of the preset rim model;
wherein, KwheelIs a lateral stiffness value; mTIs the mass; f. of2Is a first order transverse anti-resonance frequency, f1The first order transverse resonance frequency.
Optionally, the frequency response analysis is performed according to the attribute of the rim material and the preset rim model to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model, and the method includes:
performing frequency response analysis according to the attribute of the rim material and the preset rim model to obtain a frequency response curve;
and acquiring the maximum value and the minimum value of the frequency response curve according to an external function, determining the maximum value as the first-order transverse resonance frequency, and determining the minimum value as the first-order transverse anti-resonance frequency.
In a second aspect:
an embodiment of the present invention provides a rim model determining apparatus, including:
the device comprises an acquisition module, a calculation module and a display module, wherein the acquisition module is used for acquiring N preset rim models, and N is an integer greater than or equal to 2;
the processing module is used for acquiring the mass, the first-order transverse resonance frequency, the first-order transverse anti-resonance frequency and the lateral stiffness of each preset rim model; the acquisition module is further used for acquiring a first interval of mass, a second interval of a ratio of first-order transverse resonance frequency to first-order transverse anti-resonance frequency and a third interval of lateral stiffness; the processing module is further configured to acquire M preset rim models satisfying the requirement that the ratio of mass in the first interval, first-order transverse anti-resonance frequency and first-order transverse resonance frequency is in the second interval and lateral stiffness is in the third interval, where M is an integer less than or equal to N; the processing module is further used for determining a target rim model according to the lateral rigidity or the mass of the M preset rim models.
Optionally, the processing module is specifically configured to determine, as the target rim model, the rim model with the largest lateral stiffness among the M preset rim models.
Optionally, the processing module is specifically configured to determine a rim model with the minimum quality in the M preset rim models as a target rim model.
Optionally, the processing module is specifically configured to obtain a mass corresponding to the preset rim model according to the attribute of the rim material and the preset rim model; according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model; and acquiring the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency.
Optionally, the processing module is specifically configured to perform the steps according to
Acquiring the lateral rigidity of the preset rim model;
wherein, KwheelIs a lateral stiffness value; mTIs the mass; f. of2Is a first order transverse anti-resonance frequency, f1The first order transverse resonance frequency.
Optionally, the processing module is specifically configured to perform frequency response analysis according to the attribute of the rim material and the preset rim model, so as to obtain a frequency response curve; and acquiring the maximum value and the minimum value of the frequency response curve according to an external function, determining the maximum value as the first-order transverse resonance frequency, and determining the minimum value as the first-order transverse anti-resonance frequency.
The invention provides a rim model determining method and a rim model determining device, which comprise the following steps: obtaining N preset rim models, wherein N is an integer greater than or equal to 2; acquiring the mass, first-order transverse resonance frequency, first-order transverse anti-resonance frequency and lateral stiffness of each preset rim model; acquiring a first interval of mass, a second interval of a ratio of first-order transverse anti-resonance frequency to first-order transverse resonance frequency and a third interval of lateral stiffness; acquiring M preset rim models which meet the requirements that the ratio of mass in the first interval, first-order transverse resonance frequency and first-order transverse anti-resonance frequency is in the second interval and lateral rigidity is in the third interval, wherein M is an integer less than or equal to N; and determining a target rim model according to the lateral rigidity or the mass of the M preset rim models. The method is used for determining the rim model, and the required rim model can be obtained quickly.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a first embodiment of a rim model determining method according to the present invention;
FIG. 2 is a flowchart of a second embodiment of a rim model determining method according to the present invention;
FIG. 3 is a flowchart of a third embodiment of a rim model determining method according to the present invention;
FIG. 4 is a flowchart of a fourth embodiment of the rim model determining method of the present invention;
FIG. 5 is a flow chart of a fifth embodiment of the rim model determining method of the present invention;
FIG. 6 is a flowchart of a sixth embodiment of the rim model determining method of the present invention;
fig. 7 is a schematic structural diagram of a first embodiment of the rim model determining apparatus according to the present invention.
Detailed Description
In the prior art, in the process of determining an automobile rim model, an engineer uses relevant tool software to adjust the shape of the automobile rim model to be determined, performs simulation calculation on the adjusted rim model to obtain various index parameters of the model, and judges whether the current model meets requirements or not according to the obtained index parameters. In the prior art, an engineer adjusts a rim model of an automobile according to the prior rim model determination experience, the adjustment has no definite directionality, and a lot of time and energy are generally spent on adjusting the rim model as much as possible so as to obtain a rim model meeting the requirements.
The embodiment of the invention selects a target rim model from the preset rim models which meet the limiting conditions of a first interval of mass, a second interval of the ratio of the first-order transverse antiresonance frequency to the first-order transverse resonance frequency and a third interval of lateral stiffness by acquiring the preset rim model, the mass, the first-order transverse resonance frequency, the first-order transverse antiresonance frequency and the lateral stiffness of the rim model, wherein the preset rim model is the lightest in mass or the maximum in lateral stiffness value, or the target rim model is determined by combining the mass and the lateral stiffness value, the preset model is preliminarily screened by setting the intervals, and then the target rim model is determined from the preliminarily screened preset rim model according to the mass or the lateral stiffness, the rim model is determined more pertinently, and the rim model determining efficiency is improved.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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.
Fig. 1 is a flowchart of a method for determining a rim model according to an embodiment of the present invention, and as shown in fig. 1, the method according to the embodiment may include:
and S11, acquiring N preset rim models.
Wherein N is an integer greater than or equal to 2.
The method comprises the steps of carrying out grid division on a Computer Aided Design (CAD) model of a rim to obtain an initial structure model of the CAD model of the initial rim, and carrying out material attribute assignment on the obtained initial structure model to obtain the initial rim model, wherein parameters of the material attributes comprise elastic modulus, Poisson's ratio and density. The method comprises the steps of obtaining an initial rim model through grid division and material assignment of a CAD model, and obtaining N preset rim models through automatic adjustment of the shape structure of the initial rim model for multiple times, wherein N is an integer greater than or equal to 2.
The tool that can be used to implement the above functions may be finite element software, which may include, but is not limited to, hippurex (hyper works) of Altair corporation or ANSA (ANSA) of MATA corporation, and may also be other tool software, which is not limited to the present invention.
And S12, acquiring the mass, the first-order transverse resonance frequency, the first-order transverse anti-resonance frequency and the lateral stiffness of each preset rim model.
Carrying out simulation calculation on the obtained N preset rim models to obtain the N preset rim models and parameters corresponding to the N preset rim models respectively, wherein the parameters comprise: mass, first order transverse resonance frequency, first order transverse anti-resonance frequency and lateral stiffness of the rim model.
S13, acquiring a first interval of mass, a second interval of the ratio of first-order transverse anti-resonance frequency to first-order transverse resonance frequency and a third interval of lateral stiffness;
setting the value range of the mass as a first interval in finite element software according to requirements, wherein the value range is generally not greater than a certain preset value; setting the value range of the lateral stiffness as a third interval, wherein the value range is generally not less than a certain preset value; and setting the ratio range of the first-order transverse anti-resonance frequency and the first-order transverse resonance frequency as a second interval. It is generally considered that the ratio of the first order transverse antiresonance frequency to the first order transverse resonance frequency, i.e. f2/f1At 0.707, the lateral stiffness is optimized, i.e. without changing the mass, by changing the shape only, such that f2/f1At 0.707, maximum lateral stiffness can be achieved, typically f is selected2/f1A value in a range around 0.707 as a limiting condition for rim model determination.
S14, M preset rim models meeting the requirements that the mass is in the first interval, the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency is in the second interval, and the lateral stiffness is in the third interval are obtained.
Wherein M is an integer less than or equal to N.
Obtaining M rim models meeting the following conditions from the N preset rim models: the mass value range is in a first interval, namely the mass of the rim is not more than a certain preset value; the value of the lateral stiffness is in a third interval, namely the lateral stiffness value is greater than or equal to a certain preset value, for example, the lateral stiffness value is greater than or equal to 50N/mm; the ratio of the first-order transverse antiresonance frequency to the first-order transverse resonance frequency is in a second interval, namely the ratio of the first-order transverse antiresonance frequency to the first-order transverse resonance frequency is within 0.707 +/-a, wherein a is a number larger than zero, for example, when a is 0.5, the ratio of the first-order transverse antiresonance frequency to the first-order transverse resonance frequency is in a range of 0.657-0.757. The value of a is taken according to requirements, and when larger lateral rigidity of the rim is needed, the value of a can be reduced, so that the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency deviates less than 0.707, and a rim model with larger lateral rigidity value is obtained; when the lateral rigidity of the rim is required to be smaller, the value of a can be increased, so that the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency is allowed to deviate from 0.707 to be larger, the mass is reduced as much as possible while the lateral rigidity value is obtained to meet the requirement, and the cost is reduced.
And S15, determining a target rim model according to the lateral rigidity or the mass of the M preset rim models.
And in the obtained M preset rim models, the structural shape, the mass and the lateral rigidity corresponding to each rim model can be obtained through finite element software. And selecting a rim model meeting the requirements as a target rim model according to the requirements. For example, when the required cost is the lowest, the model with the minimum quality in the M preset rim models is selected as the target rim model; and when the performance needs to be optimal, selecting the model with the maximum lateral rigidity as the target rim model.
Further, in this embodiment, when the required cost is not changed, the mass is set to be quantitative, and the model with the largest lateral stiffness value is selected as the target rim model, so that the material utilization is maximized; when the lateral stiffness requirement is required to be met and the cost is the lowest, the lateral stiffness value is required to be set to be quantitative, namely the lowest lateral stiffness requirement is met, and the model with the minimum mass is selected as the target rim model, so that the cost is the lowest.
Optionally, a rim model with a structural shape meeting the requirements can be selected as the target rim model under the condition of meeting the requirements on mass and lateral rigidity.
In the embodiment, the structural shape of the rim is automatically adjusted by using tool software, a preset rim model is obtained, a target rim model is selected from the preset rim models which are consistent with the condition that the mass is in a first interval, the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency is in a second interval and the lateral rigidity is in a third interval, for example, the rim model with the lightest mass or the maximum lateral rigidity value can be selected as the target rim model, or the target rim model is determined by combining the mass and the lateral rigidity value, the preset model is preliminarily screened by setting the intervals, and then the target rim model is determined from the preliminarily screened preset rim model according to the mass or the lateral rigidity, so that the rim model is determined more pertinently, and the efficiency of rim model determination is improved.
Further, in this embodiment, the value ranges of the first interval of the mass, the second interval of the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency, and the third interval of the lateral stiffness may be adjusted according to requirements. Through the adjustment of the value range of the interval, the obtained preset rim model is further limited, so that the preset rim model is closer to the required target rim model, the selection range of the target rim is further reduced, and the determination efficiency of the rim model is further improved.
Fig. 2 is a flowchart of a method for determining a rim model according to another embodiment of the present invention, and fig. 2 is a further description of a possible implementation manner of S15 in fig. 1 on the basis of the embodiment in fig. 1:
s15', determining a target rim model according to the lateral stiffness or mass of the M preset rim models, including: and determining the rim model with the maximum lateral rigidity in the M preset rim models as a target rim model.
And when the model requirement of the rim is the minimum mass, selecting the model with the minimum mass in the M preset rim models as the target rim model. In the determination process of the actual rim model, one possibility is that, among the M preset rim models, there is more than one model with the same lateral stiffness, that is, the rim models with the same lateral stiffness have different masses due to different structural shapes, and when the model with the maximum lateral stiffness is more than one model with different shapes and masses, the model with the minimum mass and the maximum lateral stiffness is selected as the target rim model.
Fig. 3 is a flowchart of a method for determining a rim model according to another embodiment of the present invention, and fig. 3 is a further description of another possible implementation manner of S15 in fig. 1 on the basis of the embodiment in fig. 1:
s15', determining a target rim model according to the lateral stiffness or mass of the M preset rim models, including: and determining the rim model with the minimum quality in the M preset rim models as a target rim model.
And when the requirement of the rim model is that the lateral rigidity is maximum, selecting the model with the maximum lateral rigidity from the M preset rim models as a target rim model. In the rim model determining process, one possibility is that, among M preset rim models, the model with the smallest mass is more than one, that is, the rim models with the same mass have different lateral rigidities due to different structural shapes, and when the rim model with the smallest mass is more than one of the lateral rigidities and different shapes, the rim model with the largest lateral rigidity is selected as the target rim model from the more than one rim models with the smallest mass.
In general, the determination of a target rim model, not just a single specification requirement, such as minimum mass or maximum lateral stiffness, often requires a compromise combining aspects such as performance specification, cost, and appearance, i.e., rim lateral stiffness, mass, and structural shape.
Fig. 4 is a flowchart of a method for determining a rim model according to another embodiment of the present invention, and fig. 4 is a further description of a possible implementation manner of S12 in fig. 1 on the basis of fig. 1: the obtaining of the mass, the first order transverse resonance frequency, the first order transverse anti-resonance frequency, and the lateral stiffness of each preset rim model may further include:
s121, obtaining the corresponding mass of the preset rim model according to the attribute of the rim material and the preset rim model;
s122, according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model;
s123, acquiring the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency.
The method comprises the steps of obtaining N preset rim models through finite element software, obtaining parameters of each preset rim model through the structural shape and the material attribute of a rim, wherein the parameters comprise the structural shape, the mass, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency corresponding to each preset model, and obtaining the lateral rigidity value of the rim model through the parameters.
Further, the lateral stiffness of the preset rim model is obtained according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency, and may be further shown in fig. 5:
s123' according to
And acquiring the lateral rigidity of the preset rim model.
Wherein, KwheelIs a lateral stiffness value; mTIs the mass; f. of2Is a first order transverse anti-resonance frequency, f1The first order transverse resonance frequency.
Fig. 6 is a diagram of fig. 5, further describing a possible implementation manner of S122 in fig. 5, and as shown in fig. 6, performing frequency response analysis according to the attribute of the rim material and the preset rim model to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model, may further include:
and S1221, according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a frequency response curve.
S1222, obtaining the maximum value and the minimum value of the frequency response curve according to the external function, determining the maximum value as the first-order transverse resonance frequency, and determining the minimum value as the first-order transverse anti-resonance frequency.
In this embodiment, the obtained preset rim model is subjected to frequency response analysis to obtain a frequency response curve, the curve has a maximum value and a minimum value, the maximum value is determined to be the first-order transverse resonance frequency, the minimum value is determined to be the first-order transverse anti-resonance frequency, the maximum value and the minimum value of the obtained frequency response curve are searched through an external function to obtain the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency of the rim model, and thus the ratio of the first-order transverse anti-resonance frequency to the resonance frequency is obtained.
In the rim model determining process, setting the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency as a second interval, setting the second interval as 0.707 +/-a, searching a frequency response curve through the external function to carry out maximum and minimum values, calculating the ratio of the first-order transverse anti-resonance frequency to the first-order transverse resonance frequency, judging whether the ratio is in the set second interval, and determining whether the current rim model meets the requirement. In the prior art, because the finite element method can only give a matrix of first-order transverse resonance frequency in the process of analyzing the rim model, but can not give the array pattern of the first-order transverse anti-resonance frequency, so the array pattern of the first-order transverse anti-resonance frequency is determined without direction, the embodiment of the invention searches the maximum value and the minimum value of the frequency response curve of the rim model through the external function, thereby obtaining a first order transverse resonance frequency and a first order transverse antiresonance frequency to obtain a ratio of the first order transverse antiresonance frequency to the first order transverse resonance frequency, and the first-order transverse antiresonance frequency is used as one of the parameters to exist in the limited condition by setting the ratio of the first-order transverse antiresonance frequency to the first-order transverse resonance frequency as a second interval as the limited condition, through topological calculation, the rim determining method provided by the embodiment of the invention has directivity and is not purposeless random adjustment.
The rim model determining method provided by the invention is suitable for being popularized to other structural model determination with anti-formant types.
Fig. 7 is a schematic structural diagram of a first embodiment of the rim model determining apparatus according to the present invention, the apparatus including: the wheel rim model acquiring device comprises an acquiring module 71 and a processing module 72, wherein the acquiring module 71 is used for acquiring N preset wheel rim models; the processing module 72 is configured to obtain the mass, the first-order transverse resonance frequency, the first-order transverse anti-resonance frequency, and the lateral stiffness of each preset rim model; the obtaining module 71 is further configured to obtain a first interval of the mass, a second interval of a ratio of the first-order transverse resonance frequency to the first-order transverse anti-resonance frequency, and a third interval of the lateral stiffness; the processing module 72 is further configured to obtain M preset rim models satisfying the requirement that the ratio of the mass in the first interval, the first-order transverse vibration frequency to the first-order transverse anti-resonance frequency is in the second interval and the lateral stiffness is in the third interval; the processing module 72 is further configured to determine a target rim model according to the lateral stiffness or the mass of the M preset rim models.
Wherein N is an integer greater than or equal to 2, and M is an integer less than or equal to N.
The apparatus of this embodiment may be correspondingly used to implement the technical solution of the method embodiment shown in fig. 1, and the implementation principle and the technical effect are similar, which are not described herein again.
Optionally, on the basis of the embodiment in fig. 7, the processing module 72 may be further specifically configured to determine that a rim model with the largest lateral stiffness among the M preset rim models is a target rim model.
The apparatus of this embodiment may be correspondingly used to implement the technical solution of the method embodiment shown in fig. 2, and the implementation principle and the technical effect are similar, which are not described herein again.
Optionally, on the basis of the embodiment of fig. 7, the processing module 72 may be further specifically configured to determine a rim model with the minimum quality in the M preset rim models as a target rim model.
The apparatus of this embodiment may be correspondingly used to implement the technical solution of the method embodiment shown in fig. 3, and the implementation principle and the technical effect are similar, which are not described herein again.
Further, in the above embodiment, the processing module 72 may be further specifically configured to obtain a mass corresponding to the preset rim model according to the attribute of the rim material and the preset rim model; according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model; and acquiring the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency.
The apparatus of this embodiment may be correspondingly used to implement the technical solution of the method embodiment shown in fig. 4, and the implementation principle and the technical effect are similar, which are not described herein again.
Further, the processing module 72 may be specifically configured to
And acquiring the lateral rigidity of the preset rim model.
Wherein, KwheelIs a lateral stiffness value; mTIs the mass; f. of2Is a first order transverse anti-resonance frequency, f1The first order transverse resonance frequency.
The apparatus of this embodiment may be correspondingly used to implement the technical solution of the method embodiment shown in fig. 5, and the implementation principle and the technical effect are similar, which are not described herein again.
Further, the processing module 72 may be specifically configured to perform frequency response analysis according to the attribute of the rim material and the preset rim model to obtain a frequency response curve; and acquiring the maximum value and the minimum value of the frequency response curve according to an external function, determining the maximum value as the first-order transverse resonance frequency, and determining the minimum value as the first-order transverse anti-resonance frequency.
The apparatus of this embodiment may be correspondingly used to implement the technical solution of the method embodiment shown in fig. 6, and the implementation principle and the technical effect are similar, which are not described herein again.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of determining a rim model, comprising:
obtaining N preset rim models, wherein N is an integer greater than or equal to 2;
acquiring the mass, first-order transverse resonance frequency, first-order transverse anti-resonance frequency and lateral stiffness of each preset rim model;
acquiring a first interval of mass, a second interval of a ratio of first-order transverse anti-resonance frequency to first-order transverse resonance frequency and a third interval of lateral stiffness;
acquiring M preset rim models which meet the requirements that the ratio of mass in the first interval, first-order transverse anti-resonance frequency and first-order transverse resonance frequency is within the second interval and lateral rigidity is within the third interval, wherein M is an integer less than or equal to N;
determining a target rim model according to the lateral rigidity or the mass of the M preset rim models;
the obtaining of the lateral stiffness of each of the preset rim models comprises:
according to
Kwheel＝(2πf2)2[MT-MT(f2 2/f1 2)]
Acquiring the lateral rigidity of the preset rim model;
wherein, KwheelIs a lateral stiffness value; mTIs the mass; f. of2Is a first order transverse anti-resonance frequency, f1The first order transverse resonance frequency.
2. The method of claim 1, wherein said determining a target rim model from the lateral stiffness or mass of the M preset rim models comprises:
and determining the rim model with the maximum lateral rigidity in the M preset rim models as a target rim model.
3. The method of claim 1, wherein said determining a target rim model from the lateral stiffness or mass of the M preset rim models comprises:
and determining the rim model with the minimum quality in the M preset rim models as a target rim model.
4. The method of any one of claims 1-3, wherein said obtaining the mass, first order transverse resonance frequency, first order transverse anti-resonance frequency, and lateral stiffness of each of said preset rim models comprises:
obtaining the corresponding mass of the preset rim model according to the attribute of the rim material and the preset rim model;
according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model;
and acquiring the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency.
5. The method of claim 4, wherein the performing a frequency response analysis according to the properties of the rim material and the predetermined rim model to obtain a first order transverse resonance frequency and a first order transverse anti-resonance frequency of the predetermined rim model comprises:
performing frequency response analysis according to the attribute of the rim material and the preset rim model to obtain a frequency response curve;
and acquiring the maximum value and the minimum value of the frequency response curve according to an external function, determining the maximum value as the first-order transverse resonance frequency, and determining the minimum value as the first-order transverse anti-resonance frequency.
6. An apparatus for determining a rim model, comprising:
the device comprises an acquisition module, a calculation module and a display module, wherein the acquisition module is used for acquiring N preset rim models, and N is an integer greater than or equal to 2;
the processing module is used for acquiring the mass, the first-order transverse resonance frequency, the first-order transverse anti-resonance frequency and the lateral stiffness of each preset rim model;
the acquisition module is further used for acquiring a first interval of mass, a second interval of a ratio of first-order transverse anti-resonance frequency to first-order transverse resonance frequency and a third interval of lateral stiffness;
the processing module is further configured to acquire M preset rim models satisfying the requirement that the ratio of mass in the first interval, first-order transverse anti-resonance frequency and first-order transverse resonance frequency is in the second interval and lateral stiffness is in the third interval, where M is an integer less than or equal to N;
the processing module is further used for determining a target rim model according to the lateral rigidity or the mass of the M preset rim models;
the processing module is specifically configured to perform the following:
Kwheel＝(2πf2)2[MT-MT(f2 2/f1 2)]
acquiring the lateral rigidity of the preset rim model;
wherein, KwheelIs a lateral stiffness value; mTIs the mass; f. of2Is a first order transverse anti-resonance frequency, f1The first order transverse resonance frequency.
7. The apparatus of claim 6, wherein the processing module is specifically configured to determine a rim model with the highest lateral stiffness of the M preset rim models as a target rim model.
8. The apparatus of claim 6, wherein the processing module is specifically configured to determine a rim model with the smallest quality among the M preset rim models as a target rim model.
9. The device according to any one of claims 6 to 8, wherein the processing module is specifically configured to obtain a mass corresponding to the preset rim model according to an attribute of a rim material and the preset rim model; according to the attribute of the rim material and the preset rim model, carrying out frequency response analysis to obtain a first-order transverse resonance frequency and a first-order transverse anti-resonance frequency of the preset rim model; and acquiring the lateral stiffness of the preset rim model according to the mass of the preset rim model, the first-order transverse resonance frequency and the first-order transverse anti-resonance frequency.
10. The apparatus according to claim 9, wherein the processing module is specifically configured to perform a frequency response analysis according to the attribute of the rim material and the preset rim model, so as to obtain a frequency response curve; and acquiring the maximum value and the minimum value of the frequency response curve according to an external function, determining the maximum value as the first-order transverse resonance frequency, and determining the minimum value as the first-order transverse anti-resonance frequency.
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