CN112307630A - Method for compiling life analysis load spectrum of main bearing of aircraft engine - Google Patents
Method for compiling life analysis load spectrum of main bearing of aircraft engine Download PDFInfo
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Abstract
The application provides a method for compiling a life analysis load spectrum of a main bearing of an aircraft engine, which comprises the following steps: determining typical working condition points, wherein the working point with the highest time ratio is selected from each preliminary classification as a candidate typical state point A1, or the working point with the largest life evaluation coefficient is selected from the working points higher than the average value as a candidate typical state point A2, or the working point with the largest life evaluation coefficient in the current preliminary classification is selected as a candidate typical state point A3; calculating the time ratio T1 of all working points which are not higher than the A1 state point, and taking the time ratio T1 as the time distribution of the A1 state point in the bearing life load spectrum; calculating the time ratio T2 of all the working points between the A1 state point and the A2 state point, and taking the time ratio T2 as the time distribution of the A2 state point in the bearing life load spectrum; calculating the time ratio T3 of all working points higher than the A2 state point, and taking the time ratio T3 as the time distribution of the A3 state point in the bearing life load spectrum; and obtaining a bearing life load spectrum after the collection.
Description
Technical Field
The application belongs to the technical field of aero-engines, and particularly relates to a method for compiling a life analysis load spectrum of an aero-engine main bearing.
Background
The load spectrum compilation for bearing life analysis is to convert the load working condition input of the complete machine fulcrum of an engine into the load input condition for bearing life calculation, the core of the load spectrum compilation is to determine the typical rotating speed, load working condition and working time ratio of the load working condition for bearing analysis, the compilation principle is to properly adjust based on the working condition of the engine, a large number of load working condition points are simplified according to a certain principle, and the design life of the bearing calculated by taking the simplified load spectrum as the input condition is ensured to have certain safety margin, thereby ensuring the reliability of the bearing design.
The whole engine has multiple working points and is directly used for bearing service life analysis, the workload is overlarge, and the calculation efficiency is low; in the past, a synthetic analysis load spectrum is simplified according to design experience, a design principle is lacked, and the calculation accuracy is difficult to guarantee when the load spectrum is used as bearing life analysis.
Disclosure of Invention
The application aims to provide a method for compiling a life analysis load spectrum of a main bearing of an aircraft engine, so as to solve or reduce at least one problem in the background art.
The technical scheme of the application is as follows: a method for compiling a life analysis load spectrum of an aircraft engine main bearing comprises the following steps:
s1, determining a typical operating point, wherein the determining process of the typical operating point comprises the following steps:
s11, determining a main bearing service life evaluation coefficient;
s12, carrying out primary classification according to the overall performance characteristics of the engine, and selecting 2-3 alternative typical working condition points from each primary classification; the alternative typical working condition point selecting method comprises the following steps:
s121, selecting a working point with the highest time ratio in each primary classification as a candidate typical state point A1;
s122, determining the time-occupied average value in the current preliminary classification, and selecting the working point with the largest life evaluation coefficient as an alternative typical state point A2 from the working points higher than the average value;
s123, selecting a working point with the largest service life evaluation coefficient in the current preliminary classification as an alternative typical state point A3;
s124, if the number of the working points of the engine in the current primary classification is less than 3, taking all the working points in the current primary classification as alternative typical state points;
s2, clustering and merging the time ratio of each working point in the classification, so as to determine the working time distribution of the alternative typical state point in the bearing life load spectrum, wherein the clustering and merging method comprises the following steps:
s21, summing all the working point time ratios with the life evaluation coefficient value not higher than the A1 state point to obtain a time ratio T1, and taking the time ratio T1 as the time distribution of the A1 state point in the bearing life load spectrum;
s22, summing all the working point time ratios with the life evaluation coefficient value higher than the A1 state point but not higher than the A2 state point to obtain a time ratio T2, and taking the time ratio T2 as the time distribution of the A2 state point in the bearing life load spectrum;
s23, summing all the working point time ratios with the life evaluation coefficient values higher than the A2 state point to obtain a time ratio T3, and taking the time ratio T3 as the time distribution of the A3 state point in a bearing life load spectrum;
and S24, summarizing all the alternative typical working condition points in each primary classification, extracting the load, the rotating speed and the time distribution of the alternative typical working condition points, and obtaining a bearing service life load spectrum.
Further, before determining the typical operating point, the method further comprises:
an input file for determining engine operating conditions, the input file comprising:
the working condition and time distribution of the service life working point of the engine, the calculation result of the load of the pivot point of the bearing and the calculation result of the pneumatic axial force of the rotor of the bearing under each working condition are needed for the angular contact ball bearing.
Further, the number of the plurality of the typical operating points is not less than 10.
Further, the method for calculating the life evaluation coefficient comprises the following steps:
Q＝N·Pn
in the formula:
q-bearing life evaluation coefficient;
n-bearing working rotating speed;
p is bearing equivalent dynamic load;
n is a constant.
Further, the value of the constant n is as follows: the value of the diagonal contact ball bearing is 3, and the value of the cylindrical roller bearing is 10/3.
Further, the method for calculating the equivalent dynamic load of the bearing comprises the following steps:
P＝X·Fr+Y·Fa
in the formula:
p is bearing equivalent dynamic load;
x, Y-dimensionless coefficients;
Frradial load, namely a fulcrum load calculation result of a fulcrum where the main bearing is located;
Fa-axial load, for a cylindrical roller bearing, takes the value 0; for the angular contact ball bearing, the value is the axial force calculation result of the rotor where the main bearing is located.
The method for compiling the load spectrum for bearing service life analysis according to the working condition of the whole engine can improve the bearing service life analysis efficiency by simplifying the load working condition, is different from the prior method for simplifying the synthetic analysis load spectrum according to the design experience, and has reasonable safety margin when the load spectrum compiled according to the method is used as the input condition of bearing service life analysis.
Drawings
In order to more clearly illustrate the technical solutions provided by the present application, the following briefly introduces the accompanying drawings. It is to be expressly understood that the drawings described below are only illustrative of some embodiments of the invention.
Fig. 1 is a flowchart of a load spectrum compiling method of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application.
In order to solve the problems existing in load spectrum compilation in the prior art, the application provides a load spectrum compilation method for compiling the load spectrum for bearing service life analysis according to the working condition of the whole engine, the bearing service life analysis efficiency is improved by simplifying the working condition of the load, and the load spectrum compiled according to the method is designed as the input condition of the bearing service life analysis, so that the load spectrum has reasonable safety margin.
As shown in fig. 1, the method for compiling the life analysis load spectrum of the main bearing of the aircraft engine provided by the application comprises the following steps:
and S1, determining an engine working condition input file.
For carrying out the life load spectrum of the main bearing of the aircraft engine, the required input files are as follows:
a) working condition and time distribution of service life working points of the engine;
b) calculating the load of the pivot where the bearing is located;
c) for the angular contact ball bearing, the calculation result of the pneumatic axial force of the rotor where the bearing is located under various working conditions is also needed.
Combining the above input conditions, the engine operating conditions are finally obtained, for example, the input data or results provided by an embodiment of the present application are shown in table 1.
Table 1 input table
S2, selecting typical working conditions
When the total number of the service life working points of the engine is less (temporarily less than 10), all the service life working points can be used as the working points of the load spectrum of the bearing, and the load, the rotating speed and the working time ratio of all the working points are extracted to obtain the load spectrum of the service life of the bearing.
When the total number of the service points of the engine life is higher than 10, a typical working state is selected for calculating the service life of the bearing, and the selection method comprises the following steps:
firstly, calculating the working equivalent dynamic load of a main bearing at each service life working point of an engine, wherein the calculation formula is as follows: p ═ X · Fr+Y·Fa
In the formula:
p is bearing equivalent dynamic load, and the unit is Newton;
x, Y-dimensionless coefficient, value determination method is described in GB/T6391-2010 rolling bearing dynamic load and rated life ";
Frthe unit of the fulcrum load calculation result of the fulcrum where the main bearing is located is N, and the calculation result corresponds to the column data of the radial load in the table 1;
Fa-for a cylindrical roller bearing, the value is 0; for an angular contact ball bearing, the value is the calculation result of the axial force of the rotor where the main bearing is located, the unit is N, and the column data of the axial load in the table 1 are corresponded.
Calculating the service life evaluation coefficient of the main bearing at each service life working point of the engine, wherein the calculation formula is as follows: q is N.Pn
In the formula:
q-bearing life evaluation factor, Unit 1017r/min.N3；
N is the working speed of the bearing, unit r/min, corresponding to the data of the working speed in the table 1;
p, calculating to obtain the equivalent dynamic load of the bearing, wherein the unit is N;
n is constant, 10/3 is taken as value for the cylindrical roller bearing, and 3 is taken as value for the angular contact ball bearing.
The life evaluation coefficients under various working conditions were calculated by the above formula in the data calculation in the example shown in table 1, and are shown in table 2.
TABLE 2 Life evaluation coefficients under various operating conditions
The service points of each service life are preliminarily classified according to the main working state of the engine, and the classification can refer to the common classification of the overall performance. Taking table 1 as an example, the categories of combat, cruise, slow car, etc. can be used as the preliminary classification.
Selecting 2-3 engine working points in each category as alternative typical state points, wherein the selection method comprises the following steps:
1) and selecting the working point with the highest time ratio in the classification as an alternative typical state point in each preliminary classification, wherein the working state point is represented by A1 in the following description.
For example, in the "cruise" classification of Table 2, the operating point with the highest time ratio is operating condition 27 (i.e., cruise 12), which is taken as the selected alternate exemplary state point A1.
2) Selecting a plurality of or a plurality of working points with the time occupation ratio higher than the average value in each preliminary classification, and then selecting the working point with the largest service life evaluation coefficient from the plurality of working points with the time occupation ratio higher than the average value as an alternative typical state point, wherein the working state point is represented by A2 in the following description.
For example, in table 2, the average value of the "cruise" classification time ratio is 5.29%, and the state points higher than the average value are the operating condition 18 (cruise 3), the operating condition 21 (cruise 6), and the operating condition 27 (cruise 12), and the point where the life evaluation factor is the highest is selected as the operating condition 18 (cruise 3), so that the operating condition 18 is the determined alternative typical state point a 2.
3) And selecting the working point with the maximum service life evaluation coefficient Q value in each preliminary classification as an alternative typical state point, which is represented by an A3 state point in the following description.
For example, in the "cruise" classification of Table 2, the point at which the life assessment factor is highest is operating condition 16 (cruise 1), and operating condition 16 is the selected alternative exemplary state point A3.
4) In each preliminary classification, if the number of the engine operating points is less than 3, all the operating points in the classification are taken as the alternative typical state points.
For example, there are only 1 state point under the "slow car" classification in tables 1 and 2, and it can be directly taken as an alternative typical state point.
S3 load spectrum compilation
Clustering and merging the time ratio of each working point in each preliminary classification, thereby determining the working time distribution of the alternative typical state points in the bearing life load spectrum, and the specific process is as follows:
a) summing all the working point time ratios of which the service life evaluation coefficient Q value is not higher than the A1 state point to obtain a time ratio T1, and taking the time ratio T1 as the time distribution of the A1 state point in a bearing service life load spectrum;
b) summing all the working point time ratios of the service life evaluation coefficient Q value which is higher than the A1 state point but not higher than the A2 state point to obtain a time ratio T2, and taking the time ratio T2 as the time distribution of the A2 state point in a bearing service life load spectrum;
c) summing all the working point time ratios with the service life evaluation coefficient Q value higher than the A2 state point to obtain a time ratio T3, and taking the time ratio T3 as the time distribution of the A3 state point in a bearing service life load spectrum;
taking the "cruise" classification in Table 2 as an example, see Table 3 for a combination.
TABLE 3 load Spectrum tabulation
And summarizing all the alternative typical working condition points in each preliminary classification, extracting the load, the rotating speed and the time distribution of the working condition points, and obtaining a bearing service life load spectrum as shown in a table 4.
TABLE 4 Final load Spectrum
In other embodiments of the present application, alternative typical state points at which the rotation speed and the life evaluation coefficient Q are relatively close to each other may be combined, a working point at which the life evaluation coefficient Q is relatively large is reserved during the combination, and the time of the combined state point is allocated to the sum of all the combined state time ratios.
The method for compiling the load spectrum for bearing service life analysis according to the working condition of the whole engine can improve the bearing service life analysis efficiency by simplifying the load working condition, is different from the prior method for simplifying the synthetic analysis load spectrum according to the design experience, and has reasonable safety margin when the load spectrum compiled according to the method is used as the input condition of bearing service life analysis.
The method can be applied to research and development engines and active engines, and provides a high-reliability and high-precision measurement method for the axial force of the advanced aeroengine.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. A method for compiling a life analysis load spectrum of an aircraft engine main bearing is characterized by comprising the following steps:
s1, determining a typical operating point, wherein the determining process of the typical operating point comprises the following steps:
s11, determining a main bearing service life evaluation coefficient;
s12, carrying out primary classification according to the overall performance characteristics of the engine, and selecting 2-3 alternative typical working condition points from each primary classification; the alternative typical working condition point selecting method comprises the following steps:
s121, selecting a working point with the highest time ratio in each primary classification as a candidate typical state point A1;
s122, determining the time-occupied average value in the current preliminary classification, and selecting the working point with the largest life evaluation coefficient as an alternative typical state point A2 from the working points higher than the average value;
s123, selecting a working point with the largest service life evaluation coefficient in the current preliminary classification as an alternative typical state point A3;
s124, if the number of the working points of the engine in the current primary classification is less than 3, taking all the working points in the current primary classification as alternative typical state points;
s2, clustering and merging the time ratio of each working point in the classification, so as to determine the working time distribution of the alternative typical state point in the bearing life load spectrum, wherein the clustering and merging method comprises the following steps:
s21, summing all the working point time ratios with the life evaluation coefficient value not higher than the A1 state point to obtain a time ratio T1, and taking the time ratio T1 as the time distribution of the A1 state point in the bearing life load spectrum;
s22, summing all the working point time ratios with the life evaluation coefficient value higher than the A1 state point but not higher than the A2 state point to obtain a time ratio T2, and taking the time ratio T2 as the time distribution of the A2 state point in the bearing life load spectrum;
s23, summing all the working point time ratios with the life evaluation coefficient values higher than the A2 state point to obtain a time ratio T3, and taking the time ratio T3 as the time distribution of the A3 state point in a bearing life load spectrum;
and S24, summarizing all the alternative typical working condition points in each primary classification, extracting the load, the rotating speed and the time distribution of the alternative typical working condition points, and obtaining a bearing service life load spectrum.
2. The method for formulating a life analysis load spectrum for an aircraft engine main bearing as claimed in claim 1, further comprising, prior to determining the typical operating point:
an input file for determining engine operating conditions, the input file comprising:
the working condition and time distribution of the service life working point of the engine, the calculation result of the load of the pivot point of the bearing and the calculation result of the pneumatic axial force of the rotor of the bearing under each working condition are needed for the angular contact ball bearing.
3. The method for formulating a life analysis load spectrum of an aircraft engine main bearing as claimed in claim 1, wherein the number of said plurality of said typical operating points is not less than 10.
4. The compilation method for analyzing the life load spectrum of the main bearing of the aircraft engine as defined in claim 1, wherein the life evaluation coefficient is calculated by:
Q＝N·Pn
in the formula:
q-bearing life evaluation coefficient;
n-bearing working rotating speed;
p is bearing equivalent dynamic load;
n is a constant.
5. The compilation method of life analysis load spectra of an aircraft engine main bearing according to claim 4, wherein the constant n takes the values: the value of the diagonal contact ball bearing is 3, and the value of the cylindrical roller bearing is 10/3.
6. The method for formulating a life analysis load spectrum of an aircraft engine main bearing according to claim 4, wherein the method for calculating the equivalent dynamic load of the bearing comprises
P＝X·Fr+Y·Fa
In the formula:
p is bearing equivalent dynamic load;
x, Y-dimensionless coefficients;
Frradial load, namely a fulcrum load calculation result of a fulcrum where the main bearing is located;
Fa-axial load, for a cylindrical roller bearing, takes the value 0; for the angular contact ball bearing, the value is the axial force calculation result of the rotor where the main bearing is located.
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| CN114510798A (en) * | 2022-01-25 | 2022-05-17 | 中国航发沈阳发动机研究所 | Pneumatic axial force error-proofing analysis method for aircraft engine |
| CN114509260A (en) * | 2021-11-29 | 2022-05-17 | 中国航发沈阳发动机研究所 | Acceleration equivalent test method for high-speed inner and outer ring co-rotating roller bearing of aircraft engine |
| CN115270285A (en) * | 2022-06-07 | 2022-11-01 | 中国航发沈阳发动机研究所 | Method for determining axial force design requirement of aero-engine rotor |
| CN115795744A (en) * | 2023-02-07 | 2023-03-14 | 中国航发沈阳发动机研究所 | Method for compiling component-level low-cycle fatigue life load spectrum of aviation turbofan engine |
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| CN113358369A (en) * | 2021-06-03 | 2021-09-07 | 江苏汇智高端工程机械创新中心有限公司 | Load spectrum analysis method and system for electric drive system of mining dump truck |
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| CN115795744A (en) * | 2023-02-07 | 2023-03-14 | 中国航发沈阳发动机研究所 | Method for compiling component-level low-cycle fatigue life load spectrum of aviation turbofan engine |
| CN115795744B (en) * | 2023-02-07 | 2023-04-18 | 中国航发沈阳发动机研究所 | Method for compiling aviation turbofan engine component level low-cycle fatigue life load spectrum |
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