CN113255084A - Rapid optimization method of gear noise radiation based on response surface method - Google Patents
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Abstract
The invention relates to a method for quickly optimizing gear noise radiation based on a response surface method, which comprises the following steps of: s1: calculating time-varying meshing stiffness of gear set by using gear parameter variables(ii) a S2: according to time-varying mesh stiffnessCalculating gear mesh excitation force generated by gear(ii) a S3: establishing a finite element analysis model of the gearbox shell, and calculating the gear engagement exciting force obtained in the step S2Applying the vibration response to the shell, and calculating the vibration response of the surface of the shell; s4: extracting the surface mesh of the shell finite element model in the step S3, and mapping the shell vibration response to the surface mesh of the shell, thereby calculating the radiation noise y at the sound pressure level of one meter according to the direct boundary element method; s5: constructing a first-order response surface model with a gear parameter variable as an input variable and a one-meter sound pressure level radiation noise y as an output; s6: optimizing gear parameter variables according to the first-order response surface model; the variable tooth number, modulus, displacement coefficient and tooth width can be quickly optimized.
Description
Technical Field
The invention relates to the technical field of transmissions, in particular to a method for quickly optimizing gear noise radiation based on a response surface method.
Background
The transmission is an important part widely applied to mechanical transmission, and gear radiation noise is an important index influencing the performance of the transmission. When gears are meshed, because errors such as tooth pitch and tooth profile inevitably exist, meshing impact is generated in the running process, noise corresponding to the meshing frequency of the gears is generated, and friction noise is generated between tooth surfaces due to relative sliding. The gear is a basic part in transmission, and reduction of gear noise is necessary for controlling transmission noise. The traditional gear radiation noise optimization optimizes the gear by repeatedly calling a finite element model, and the optimization efficiency is low.
Therefore, there is a need to develop a method for rapidly optimizing gear radiation noise.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for quickly optimizing gear radiation noise based on a response surface method, which can quickly optimize gear parameters and improve optimization efficiency after a response surface model of the gear parameters and the gear radiation noise is established.
In order to solve the technical problems, the technical scheme of the invention is as follows: a method for quickly optimizing gear noise radiation based on a response surface method comprises the following steps:
s1: determining gear parameter variables, and calculating the time-varying meshing stiffness of the gear set by using the gear parameter variables;
S2: time-varying meshing stiffness according to step S1Calculating gear mesh excitation force generated by gear;
S3: establishing a finite element analysis model of the gearbox shell, and calculating the gear engagement exciting force obtained in the step S2Applying the vibration response to the shell, and calculating the vibration response of the surface of the shell;
s4: extracting the surface mesh of the shell finite element model in the step S3, and mapping the shell vibration response to the surface mesh of the shell, thereby calculating the radiation noise y at the sound pressure level of one meter according to the direct boundary element method;
s5: constructing a first-order response surface model with a gear parameter variable as an input variable and a one-meter sound pressure level radiation noise y as an output;
s6: and optimizing the gear parameter variables according to the first-order response surface model in the step S5.
As a preferable technical scheme, in step S1, calculating the time-varying meshing stiffness of the gear set according to a Weber-Banaschek gear stiffness calculation method。
Preferably, in step S1, the gear parameter variables include tooth number z, module m, and shift coefficient And a tooth width b.
Preferably, in step S3, the gear is engaged with the exciting forceApplied to the housing bearing seats.
Preferably, step S5 includes the following steps:
s51: determining gear parameter variables and tolerance ranges;
s52: determining a plurality of groups of gear parameter variable values according to the gear parameter variable and the tolerance range;
s53: executing the steps S1 to S4, and calculating the response value of the gear one-meter sound pressure level radiation noise corresponding to each group of gear parameter variable values;
s54: and obtaining the relation between the input variable and the output variable by utilizing the variable value of each group of gear parameters and the response value of the gear one-meter sound pressure level radiation noise corresponding to the variable value of each group of gear parameters.
As a preferable technical solution, in step S6, the variable tooth number, modulus, displacement coefficient, and tooth width are optimized by using a genetic algorithm with the goal of minimizing the radiation noise y at a sound pressure level of one meter.
A first-order response surface model of gear parameters and the radiation noise of the shell at the sound pressure level of one meter is constructed by a quick optimization method of the gear radiation noise based on a response surface method; by utilizing the first-order response surface model, the variable tooth number, the modulus, the displacement coefficient and the tooth width can be quickly optimized, and the problem of low calculation efficiency of repeatedly calling a finite element model in the traditional optimization is solved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 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 the present invention;
FIG. 2 is a single tooth force diagram;
FIG. 3 is a schematic illustration of a vibration velocity data map.
Detailed Description
A method for quickly optimizing gear noise radiation based on a response surface method comprises the following steps:
s1: determining gear parameter variables, wherein the gear parameter variables comprise tooth number z, modulus m and deflection coefficientTooth width b;
inputting the gear parameter variables, and calculating the time-varying meshing stiffness of the gear set according to the Weber-Banaschek gear stiffness calculation method。
in the formula,in order to achieve the single tooth stiffness of the gear wheel 1,is the single tooth stiffness of the gear 2.
The calculation of the single tooth stiffness k is as follows:
in the formula,as to the total amount of deformation of the gear teeth,is a normal load; the stress analysis of the gear is shown in fig. 2, and the single-tooth stiffness of the gear 1 and the single-tooth stiffness of the gear 2 can be respectively calculated according to the formula.
in the formula,
in the formula,
e is the comprehensive elastic modulus;
b is the tooth width;
and x and y are coordinates of left and right points of the gear tooth meshing normal force respectively.
in the formula,
e is the comprehensive elastic modulus;
b is the tooth width;
in the formula,
e is the comprehensive elastic modulus;
b is the tooth width;
c is calculated as follows:
in the formula,
e is the comprehensive elastic modulus;
b is the tooth width;
in the formula,
in the formula,
m is a gear module;
in the formula,
in the formula,
in the formula,
m is a gear module;
z is the number of gear teeth;
in the formula,
a is a center distance;
in the formula,
m is a gear module;
a is the center distance.
S2: according to the time obtained by the calculation in the step oneVariable mesh stiffnessCalculating the gear engagement exciting force generated by the gear according to the Newton formula。
in the formula,
TE is a gear transmission error;
The gear transfer error TE is calculated as follows:
in the formula,
S3: and establishing a finite element analysis model of the gearbox shell, applying the exciting force calculated in the step S2 to the shell, and calculating the vibration response of the surface of the shell.
Specifically, an exciting force is applied to a bearing seat of the housing.
Taking a single degree of freedom vibration system as an example, the vibration differential equation of the vibration response is as follows:
the solution to this equation is assumed to be of the following form:
in the formula,and a is the excitation frequency and the response amplitude of the system, respectively.
Will be provided withSubstituting into a vibration differential equation of the vibration response to obtain:
in the formula,
is the damping ratio, defined as the damping c of the system to the critical damping ratioIn a ratio of
the solution to the equation is:
when in useThe system will vibrate when < 1, and the response of the system or the solution of the equation is
S4: and extracting the surface mesh of the shell finite element model in the step S3, and mapping the shell vibration response to the surface mesh of the shell, thereby calculating the radiation noise y at the sound pressure level of one meter according to the direct boundary element method.
For example, using the vibration velocity data mapping diagram shown in fig. 3, the shell vibration velocity is mapped onto the shell surface grid, and the velocity of node a on the target grid is calculated as follows:
In the formula:
andis a boundaryEach unit ofAt any point insideSound pressure and normal velocity, the values of which are calculated by the following equations:
wherein,
Unit shape function1 at node i and a unit shape function at the other nodes of the unitAssembled into global shape functionsWhole boundary element gridOn the upper part
The vibrational response of the housing may be not only velocity but also displacement or acceleration. The method of mapping displacements or accelerations onto the shell surface grid is prior art and will not be described in detail here.
S5: and (3) constructing a relation between the gear variable and the radiation noise at the sound pressure level of one meter, namely, a first-order response surface model taking the gear parameter variable as an input variable and the radiation noise y at the sound pressure level of one meter as an output.
The method comprises the following steps:
s51: determining gear parameter variables and tolerance ranges;
s52: determining a plurality of groups of gear parameter variable values according to the gear parameter variable and the tolerance range;
s53: executing the steps S1 to S4, and calculating the response value of the gear one-meter sound pressure level radiation noise corresponding to each group of gear parameter variable values;
and S54, obtaining the relation between the input variable and the output variable by utilizing the variable value of each group of gear parameters and the response value of the gear one-meter sound pressure level radiation noise corresponding to the variable value of each group of gear parameters.
Specifically, the method comprises the following steps:
first, gear parameter variables and tolerances are determined, as shown in table 1.
TABLE 1 design variables and tolerances
Variables of | Number of teeth z | Modulus m | Coefficient of variation | Width of tooth b |
Mean value | 91 | 1.41 | 0.1753 | 19 |
Tolerance of | ±5 | ±0.3 | ±0.1 | ±2 |
Then, a specific sample point is selected.
As shown in table 2, 29 sets of sample points were selected; in practice, the number of groups of selected sample points can be adjusted according to the tolerance range.
TABLE 2 response surface test design sample points and response values of radiated noise
Based on the sample points in table 2, 29 response values of the gear radiation noise at sound pressure level of one meter are obtained through 29 calculations from step S1 to step S4, and are listed in the last column of table 2.
Fitting the sample points of table 2 with a quadratic polynomial using a response surface method to obtain the relationship between the input variable and the output variable:
s6: according to the first-order response surface model in step S5, the variable tooth number, modulus, displacement coefficient, and tooth width are optimized using a genetic algorithm with the one-meter sound pressure level radiation noise y being the lowest.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. A gear noise radiation rapid optimization method based on a response surface method is characterized in that: the method comprises the following steps:
s1: determining gear parameter variables, and calculating the time-varying meshing stiffness of the gear set by using the gear parameter variables;
S2: time-varying meshing stiffness according to step S1Calculating gear mesh excitation force generated by gear;
S3: establishing a finite element analysis model of the gearbox shell, and calculating the gear engagement exciting force obtained in the step S2Applying the vibration response to the shell, and calculating the vibration response of the surface of the shell;
s4: extracting the surface mesh of the shell finite element model in the step S3, and mapping the shell vibration response to the surface mesh of the shell, thereby calculating the radiation noise y at the sound pressure level of one meter according to the direct boundary element method;
s5: constructing a first-order response surface model with a gear parameter variable as an input variable and a one-meter sound pressure level radiation noise y as an output;
s6: and optimizing the gear parameter variables according to the first-order response surface model in the step S5.
5. The method for rapidly optimizing the gear noise radiation based on the response surface method as claimed in claim 1, wherein: in step S5, the method includes the steps of:
s51: determining gear parameter variables and tolerance ranges;
s52: determining a plurality of groups of gear parameter variable values according to the gear parameter variable and the tolerance range;
s53: executing the steps S1 to S4, and calculating the response value of the gear one-meter sound pressure level radiation noise corresponding to each group of gear parameter variable values;
s54: and obtaining the relation between the input variable and the output variable by utilizing the variable value of each group of gear parameters and the response value of the gear one-meter sound pressure level radiation noise corresponding to the variable value of each group of gear parameters.
6. The method for rapidly optimizing the gear noise radiation based on the response surface method as claimed in claim 1, wherein: in step S6, the variable tooth number, modulus, displacement coefficient, and tooth width are optimized using a genetic algorithm with the lowest radiation noise y at a sound pressure level of one meter as a target.
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