CN117928832A - Turbine disc cavity sealing efficiency testing method and system - Google Patents
Turbine disc cavity sealing efficiency testing method and system Download PDFInfo
- Publication number
- CN117928832A CN117928832A CN202410327063.1A CN202410327063A CN117928832A CN 117928832 A CN117928832 A CN 117928832A CN 202410327063 A CN202410327063 A CN 202410327063A CN 117928832 A CN117928832 A CN 117928832A
- Authority
- CN
- China
- Prior art keywords
- sealing efficiency
- instantaneous
- temperature
- value
- sub
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000007789 sealing Methods 0.000 title claims abstract description 176
- 238000012360 testing method Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000012512 characterization method Methods 0.000 claims description 30
- 238000012545 processing Methods 0.000 claims description 14
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 description 13
- 238000004458 analytical method Methods 0.000 description 9
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/025—Details with respect to the testing of engines or engine parts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/20—Hydro energy
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Algebra (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention belongs to the technical field of aeroengine testing, and provides a turbine disc cavity sealing efficiency testing method and system, wherein the method comprises the following steps: the method comprises the steps of taking instantaneous sealing efficiency values corresponding to different acquisition time points in each acquisition period as one data set, obtaining a plurality of data sets, obtaining temperature data of each data set, obtaining a temperature influence value based on the instantaneous sealing efficiency values contained in the data sets and the temperature data of each data set, comparing the temperature influence value with a temperature influence threshold value to generate influence signals, and selecting different target data sets according to the influence signals.
Description
Technical Field
The invention belongs to the technical field of aeroengine testing, and particularly relates to a turbine disc cavity sealing efficiency testing method and system.
Background
In an aeroengine, turbine disk cavity sealing efficiency is an important indicator for measuring sealing performance of the turbine disk cavity. The working performance and reliability of the engine are directly affected by the sealing efficiency. Therefore, the method has important significance for accurately testing the sealing efficiency of the turbine disc cavity. However, the existing test method often has the problems of low precision and the like, and cannot meet the high standard requirements of the development of the aero-engine.
One chinese patent application with publication number CN113932974a discloses a turbine disc cavity sealing efficiency testing method and apparatus, comprising: arranging a first sampling point at a to-be-detected sampling point on a turbine guide vane blade, arranging a second sampling point at a to-be-detected sampling point at a seal gas inlet at a low radius, arranging a third sampling point in a main flow channel, simultaneously connecting different pipelines and branch pipelines of the first sampling point, the second sampling point and the third sampling point with a gas analyzer, arranging a control valve on the pipeline, controlling and measuring the gas concentration of each sampling point through the control valve, and finally calculating to obtain the seal efficiency. The device comprises a plurality of sampling points and a device formed by connecting a gas analyzer through a pipeline and a control valve. The problem that high-pressure air is wasted due to the fact that sampling air cannot be recycled after being discharged into the atmosphere in the existing measuring method is effectively solved, and the method for measuring sealing efficiency unstably is provided.
Among the above-mentioned prior art, through measuring the gas concentration of each sample point, final calculation obtains sealing efficiency, and gas concentration receives ambient temperature factor's influence great, and above-mentioned prior art lacks the analysis to its ambient factor when data acquisition or after gathering, can't guarantee the accuracy of detected data to can't guarantee the accuracy of turbine disk chamber sealing efficiency test.
Therefore, the invention provides a turbine disc cavity sealing efficiency testing method and system.
Disclosure of Invention
In order to overcome the deficiencies of the prior art, at least one technical problem presented in the background art is solved.
The technical scheme adopted for solving the technical problems is as follows: a turbine disc cavity sealing efficiency testing method comprises the following steps:
step one: acquiring instantaneous sealing efficiency data of a turbine disc cavity acquired at different acquisition time points in a plurality of acquisition time periods, wherein the instantaneous sealing efficiency data comprises instantaneous sealing efficiency values;
Step two: taking the instantaneous sealing efficiency value corresponding to different acquisition time points in each acquisition time period as a data group, obtaining a plurality of data groups when a plurality of acquisition time periods exist, and obtaining temperature data of each data group, wherein the temperature data comprises the instantaneous temperature value corresponding to each acquisition time point, and analyzing to obtain a temperature influence value ZC based on the instantaneous sealing efficiency value contained in the data group and the temperature data of each corresponding data group;
Step three: comparing the obtained temperature influence value ZC with a temperature influence threshold value, judging the temperature influence degree according to a comparison result, and generating influence signals, wherein the influence signals comprise strong influence signals and weak influence signals;
step four: selecting different target data sets based on different influence signals;
Step five: based on the target data set, acquiring an instantaneous sealing efficiency mean value VB in the target data set and a variance VN corresponding to the target data set, and outputting and obtaining a sealing efficiency characterization value Vcg according to the instantaneous sealing efficiency mean value VB and the data variance VN;
Step six: comparing the sealing efficiency characterization value Vcg with a sealing efficiency characterization threshold: if the sealing efficiency characterization value Vcg is more than or equal to Vcz, the sealing efficiency of the turbine disk cavity is high;
if the sealing efficiency characterization value Vcg is smaller than Vcz, the sealing efficiency of the turbine disk cavity is low.
The invention further adopts the technical scheme that: the temperature influence value ZC is obtained by the following steps:
Marking and connecting the instantaneous sealing efficiency values corresponding to different acquisition time points and the instantaneous temperature values corresponding to different acquisition time points in an X-Y coordinate system respectively to obtain instantaneous temperature change folding lines and instantaneous sealing efficiency change folding lines;
Dividing the instant sealing efficiency folding line into a plurality of instant sealing efficiency sub folding lines respectively;
dividing the instantaneous temperature change folding line into a plurality of instantaneous temperature change sub-folding lines respectively;
calculating the slope of each instantaneous temperature sub-folding line and the slope of the corresponding instantaneous sealing efficiency sub-folding line;
If the positive and negative polarities of the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are the same, marking the instantaneous temperature sub-folding lines and the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines as a superposition sub-folding line group;
If the positive and negative polarities of the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are opposite, marking the instantaneous temperature sub-folding lines and the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines as non-coincident sub-folding line groups;
Obtaining the average value of the number of the overlapping sub-polyline groups and marking the average value as Di;
The slope difference average value corresponding to the overlapping sub-polyline group is marked as Fi;
By the formula: And obtaining a temperature influence value ZC, wherein s1 and s2 are preset proportionality coefficients, the value of s1 is 1.02, and the value of s2 is 1.14.
The invention further adopts the technical scheme that: the acquisition mode of the overlapping sub-polyline group quantity accounting for the average Di is as follows:
counting the number of the coincident sub-polyline groups and the number of the non-coincident sub-polyline groups in each data group, and summing the numbers of the coincident sub-polyline groups and the non-coincident sub-polyline groups to obtain the number of the sub-polyline groups;
Performing ratio processing on the number of the coincident sub-polyline groups and the number of the sub-polyline groups in each data group to obtain the corresponding number of the coincident sub-polyline groups of each data group;
And summing the number proportion of the overlapping sub-polyline groups corresponding to each data group to obtain a mean value, and obtaining a mean value Di of the number proportion of the overlapping sub-polyline groups.
The invention further adopts the technical scheme that: the acquisition mode of the slope difference mean value Fi corresponding to the overlapping sub-polyline group is as follows:
And in the overlapping sub-broken line groups, carrying out difference processing on the slope of the instantaneous temperature sub-broken line and the slope of the corresponding instantaneous sealing efficiency sub-broken line, taking the absolute value of the difference value to obtain the slope difference value corresponding to the overlapping sub-broken line groups, and summing the slope difference values corresponding to each overlapping sub-broken line group to obtain the average value of the slope difference values corresponding to the overlapping sub-broken line groups.
The invention further adopts the technical scheme that: comparing the temperature influence value ZC with a temperature influence threshold value:
Specifically, the preset temperature influence threshold is ZT;
if the temperature influence value ZC is more than or equal to the temperature influence threshold ZT, the temperature influence degree is higher, and a strong influence signal is generated;
if the temperature influence value ZC is smaller than the temperature influence threshold ZT, the temperature influence value ZC indicates that the temperature influence degree is weak, and an influence weak signal is generated.
The invention further adopts the technical scheme that: and integrating all the data sets into one data set based on the generated weak influence signals, and taking the integrated data set as a target data set.
The invention further adopts the technical scheme that: based on the generated strong influence signals, obtaining an instantaneous temperature change broken line and an instantaneous temperature average value again based on the temperature data, marking the instantaneous temperature average value as a reference value on a Y axis in a coordinate system where the instantaneous temperature change broken line is located, and marking the instantaneous temperature average value as a reference line by making a straight line parallel to an X axis through the reference value;
Based on the temperature change fold line and the datum line, obtaining a ratio GF of the first area to the second area and a ratio GU of the superposition length to the datum line length;
By the formula: obtaining a temperature fluctuation parameter GH, wherein a1 and a2 are preset proportionality coefficients, the value of a1 is 1.25, and the value of a2 is 1.36;
Obtaining temperature fluctuation parameters of each data set And selecting the data set corresponding to the minimum temperature fluctuation parameter as a target data set.
The invention further adopts the technical scheme that: the ratio GF of the first area to the second area is obtained by:
And measuring the area surrounded by the datum line and the instantaneous temperature change fold line and the area surrounded by the datum line and the X axis, marking the areas as a first area and a second area respectively, and carrying out ratio processing on the first area and the second area, wherein the ratio GF of the first area to the second area.
The invention further adopts the technical scheme that: the acquisition mode of the ratio GU of the superposition length and the datum line length is as follows:
And measuring the superposition length between the datum line and the instantaneous temperature change fold line and the horizontal length of the datum line, marking the superposition length and the datum line length as the superposition length and the datum line length respectively, performing ratio processing on the superposition length and the datum line length to obtain the ratio of the superposition length to the datum line length, and marking the ratio as GU.
A turbine disk cavity seal efficiency test system, the system comprising:
and a data acquisition module: acquiring instantaneous sealing efficiency data of a turbine disc cavity acquired at different acquisition time points in a plurality of acquisition time periods, wherein the instantaneous sealing efficiency data comprises instantaneous sealing efficiency values;
And a data analysis module: the method comprises the steps of taking instantaneous sealing efficiency values corresponding to different acquisition time points in each acquisition time period as a data set, obtaining a plurality of data sets when the plurality of acquisition time periods exist, and obtaining temperature data of each data set, wherein the temperature data comprise instantaneous temperature values corresponding to each acquisition time point, and analyzing to obtain a temperature influence value ZC based on the instantaneous sealing efficiency values and the corresponding temperature data contained in the data sets; the method is also used for acquiring an instantaneous sealing efficiency mean value VB in the target data set and a variance VN corresponding to the target data set based on the target data set, and outputting and obtaining a sealing efficiency characterization value Vcg according to the instantaneous sealing efficiency mean value VB and the data variance VN;
An influence determination module: comparing the obtained temperature influence value ZC with a temperature influence threshold value, judging the temperature influence degree according to a comparison result, and generating influence signals, wherein the influence signals comprise strong influence signals and weak influence signals;
The target selection module: selecting different target data sets based on different influence signals;
An efficiency judging module: comparing the sealing efficiency characterization value Vcg with a sealing efficiency characterization threshold: if the sealing efficiency characterization value Vcg is more than or equal to Vcz, the sealing efficiency of the turbine disk cavity is high; if the sealing efficiency characterization value Vcg is smaller than Vcz, the sealing efficiency of the turbine disk cavity is low.
The beneficial effects of the invention are as follows:
1. According to the turbine disc cavity sealing efficiency testing method and system, instantaneous sealing efficiency values corresponding to different acquisition time points in each acquisition time period are used as one data set, a plurality of acquisition time periods exist, a plurality of data sets can be obtained, temperature data of each data set are obtained, based on the instantaneous sealing efficiency values contained in the data sets and the corresponding temperature data of each data set, the temperature influence value ZC is obtained through analysis, the obtained temperature influence value ZC is compared with a temperature influence threshold value, the temperature influence degree is judged according to the comparison result, influence signals are generated, different target data sets are selected according to different influence signals, the influence degree of temperature change on the detected instantaneous sealing efficiency values is determined through analysis, under the condition that the influence degree is high, the data set with small temperature fluctuation influence is selected to be used as target data for analysis, accuracy of testing of the sealing efficiency of the turbine disc cavity is ensured, and accuracy of the acquired data is improved.
2. According to the turbine disc cavity sealing efficiency testing method and system, based on the target data set, the instantaneous sealing efficiency mean value VB in the target data set and the variance VN corresponding to the target data set are obtained, the sealing efficiency representation value Vcg is obtained according to the instantaneous sealing efficiency mean value VB and the data variance VN, the sealing efficiency representation value Vcg is compared with the sealing efficiency representation threshold, and the sealing efficiency is judged according to the comparison result.
3. According to the method and the system for testing the sealing efficiency of the turbine disc cavity, provided by the invention, the temperature influence is combined for analysis when the sealing efficiency of the turbine disc cavity is tested, and different target data sets are selected according to the analysis result, so that the analysis is more accurate, and the method for combining the temperature analysis can provide theoretical reference for the analysis of other influence factors when the sealing efficiency of the turbine disc cavity is tested.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart illustrating a method for testing sealing efficiency of a turbine disk cavity according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a step of obtaining a temperature impact value in a turbine disc cavity sealing efficiency test method according to an embodiment of the present invention;
FIG. 3 is a system block diagram of a turbine disk cavity seal efficiency test system according to a second embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Example 1
As shown in fig. 1, a method for testing sealing efficiency of a turbine disc cavity according to an embodiment of the present invention includes:
step one: acquiring instantaneous sealing efficiency data of a turbine disc cavity acquired at different acquisition time points in a plurality of acquisition time periods, wherein the instantaneous sealing efficiency data comprises instantaneous sealing efficiency values;
In some embodiments, a plurality of acquisition time periods are set, each acquisition time period is equal, and sealing gas data of the turbine disc cavity are acquired at different acquisition time points in the acquisition time periods, wherein the sealing data of the turbine disc cavity comprise a gas concentration value at a sealing gas inlet and a gas concentration value at a turbine blade;
it should be noted that, the interval time between different collection time points is the same, and the collection time points in different collection time periods are the same;
Setting sampling points at the sealed gas inlet and the turbine blade respectively, connecting the sampling points with a gas analyzer through a pipeline and a valve, and detecting the gas at the sealed gas inlet and the turbine blade by using the gas analyzer to obtain a gas concentration value at the sealed gas inlet and a gas concentration value at the turbine blade;
Carrying out ratio processing on the gas concentration value at the sealed gas inlet and the gas concentration value at the turbine blade acquired at different acquisition time points to obtain instantaneous sealing efficiency values of the turbine disc cavity corresponding to the different acquisition time points;
Step two: taking the instantaneous sealing efficiency value corresponding to different acquisition time points in each acquisition time period as a data group, obtaining a plurality of data groups when a plurality of acquisition time periods exist, and obtaining temperature data of each data group, wherein the temperature data comprises the instantaneous temperature value corresponding to each acquisition time point, and analyzing to obtain a temperature influence value ZC based on the instantaneous sealing efficiency value contained in the data group and the temperature data of each corresponding data group;
As shown in fig. 2, specifically, the instantaneous sealing efficiency values corresponding to different acquisition time points and the instantaneous temperature values corresponding to different acquisition time points are respectively marked in two X-Y two-dimensional coordinate systems, wherein the X-axis of the two coordinate systems both represent time, the Y-axis of one coordinate system represents the instantaneous sealing efficiency value, the Y-axis of the other coordinate system represents the instantaneous temperature value, and the marked instantaneous sealing efficiency value data points are respectively connected and the marked instantaneous temperature value data points are connected to obtain an instantaneous temperature change fold line and an instantaneous sealing efficiency change fold line;
Dividing the instantaneous sealing efficiency broken line into a plurality of instantaneous sealing efficiency sub-broken lines respectively, wherein the broken line between every two adjacent instantaneous sealing efficiency value data points is an instantaneous sealing efficiency sub-broken line;
Dividing the instantaneous temperature change broken line into a plurality of instantaneous temperature change sub-broken lines respectively, wherein the broken line between every two adjacent instantaneous temperature value data points is an instantaneous temperature sub-broken line;
it should be noted that each instantaneous temperature sub-folding line corresponds to one instantaneous sealing efficiency sub-folding line;
calculating the slope of each instantaneous temperature sub-folding line and the slope of the corresponding instantaneous sealing efficiency sub-folding line;
If the positive and negative polarities of the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are the same, marking the instantaneous temperature sub-folding lines and the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines as a superposition sub-folding line group;
If the positive and negative polarities of the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are opposite, marking the instantaneous temperature sub-folding lines and the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines as non-coincident sub-folding line groups;
Wherein, the meaning of the same sign is:
the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are all more than or equal to 0 or are all less than 0;
The opposite sign means:
the slope of the instantaneous temperature sub-folding line is larger than 0, and the slope of the instantaneous sealing efficiency sub-folding line is smaller than 0;
The slope of the instantaneous temperature sub-folding line is smaller than 0, and the slope of the instantaneous sealing efficiency sub-folding line is larger than 0;
the slope of the instantaneous temperature sub-folding line is 0, and the slope of the instantaneous sealing efficiency sub-folding line is not 0;
the slope of the instantaneous temperature sub-folding line is not 0, and the slope of the instantaneous sealing efficiency sub-folding line is 0;
counting the number of the coincident sub-polyline groups and the number of the non-coincident sub-polyline groups in each data group, and summing the numbers of the coincident sub-polyline groups and the non-coincident sub-polyline groups to obtain the number of the sub-polyline groups;
Performing ratio processing on the number of the coincident sub-polyline groups and the number of the sub-polyline groups in each data group to obtain the corresponding number of the coincident sub-polyline groups of each data group;
summing the number proportion of the overlapping sub-polyline groups corresponding to each data group to obtain an average value, obtaining the average value of the number proportion of the overlapping sub-polyline groups, and marking as Di;
In the overlapping sub-broken line groups, the slope of the instantaneous temperature sub-broken line and the slope of the corresponding instantaneous sealing efficiency sub-broken line are subjected to difference processing, the difference is taken as an absolute value to obtain the slope difference value corresponding to the overlapping sub-broken line groups, the slope difference value corresponding to each overlapping sub-broken line group is summed to obtain an average value of the slope differences corresponding to the overlapping sub-broken line groups, and the average value is marked as Fi;
Carrying out data processing on the obtained number of the overlapping sub-polyline groups, namely the duty ratio mean Di, and the slope difference mean Fi corresponding to the overlapping sub-polyline groups, and obtaining a formula: obtaining a temperature influence value ZC, wherein s1 and s2 are preset proportionality coefficients, the value of s1 is 1.02, and the value of s2 is 1.14;
Step three: comparing the obtained temperature influence value ZC with a temperature influence threshold value, judging the temperature influence degree according to a comparison result, and generating influence signals, wherein the influence signals comprise strong influence signals and weak influence signals;
Specifically, the preset temperature influence threshold is ZT;
if the temperature influence value ZC is more than or equal to the temperature influence threshold ZT, the temperature influence degree is higher, and a strong influence signal is generated;
if the temperature influence value ZC is smaller than the temperature influence threshold ZT, the temperature influence degree is weak, and an influence weak signal is generated;
step four: selecting different target data sets based on different influence signals;
The method comprises the following steps:
Integrating all data sets into one data set based on the generated weak influence signals, and taking the integrated data set as a target data set;
Based on the generated strong influence signals, acquiring the temperature data of each data group again, acquiring instantaneous temperature change broken lines again based on the temperature data, summing the instantaneous temperatures corresponding to different acquisition time points in the temperature data based on the instantaneous temperatures corresponding to the different acquisition time points, taking an average value of the instantaneous temperatures, marking the average value of the instantaneous temperatures as a reference value on a Y axis in a coordinate system where the instantaneous temperature change broken lines are located, marking the average value of the instantaneous temperatures as a reference line by taking the reference value as a straight line parallel to the X axis, wherein the horizontal length of the reference line is equal to the horizontal length of the instantaneous temperature change broken lines;
Measuring the area surrounded by the datum line and the instantaneous temperature change fold line and the area surrounded by the datum line and the X axis, respectively marking the areas as a first area and a second area, carrying out ratio processing on the first area and the second area, and marking the ratio of the first area to the second area as GF;
Measuring the superposition length between the datum line and the instantaneous temperature change fold line and the horizontal length of the datum line, marking the superposition length and the datum line length as the superposition length and the datum line length respectively, performing ratio processing on the superposition length and the datum line length to obtain the ratio of the superposition length to the datum line length, and marking the ratio as GU;
By the formula: obtaining a temperature fluctuation parameter GH, wherein a1 and a2 are preset proportionality coefficients, the value of a1 is 1.25, and the value of a2 is 1.36;
Obtaining temperature fluctuation parameters of each data set Selecting a data set corresponding to the minimum temperature fluctuation parameter as a target data set;
Step five: based on the target data set, acquiring an instantaneous sealing efficiency mean value VB in the target data set and a variance VN corresponding to the target data set, and outputting and obtaining a sealing efficiency characterization value Vcg according to the instantaneous sealing efficiency mean value VB and the data variance VN;
specifically, summing the instantaneous sealing efficiency values in the target data set to obtain an average value VB of the instantaneous sealing efficiency;
By the formula: obtaining a sealing efficiency characterization value Vcg, wherein z1 and z2 are preset ratio coefficients, the value of z1 is 1.035, and the value of z2 is 1.146;
Step six: comparing the sealing efficiency characterization value Vcg with a sealing efficiency characterization threshold value, and judging the sealing efficiency of the turbine disc cavity according to a comparison result;
specifically, a preset sealing efficiency characterization threshold is Vcz;
if the sealing efficiency characterization value Vcg is more than or equal to Vcz, the sealing efficiency of the turbine disk cavity is high;
if the sealing efficiency characterization value Vcg is smaller than Vcz, the sealing efficiency of the turbine disk cavity is low.
Example 2
As shown in fig. 3, a turbine disc cavity sealing efficiency test system according to an embodiment of the present invention includes:
and a data acquisition module: acquiring instantaneous sealing efficiency data of a turbine disc cavity acquired at different acquisition time points in a plurality of acquisition time periods, wherein the instantaneous sealing efficiency data comprises instantaneous sealing efficiency values;
And a data analysis module: the method comprises the steps of using instantaneous sealing efficiency values corresponding to different acquisition time points in each acquisition period as a data set, obtaining a plurality of data sets, and obtaining temperature data of each data set, wherein the temperature data comprise instantaneous temperature values corresponding to each acquisition time point, and analyzing to obtain a temperature influence value ZC based on the instantaneous sealing efficiency values contained in the data sets and the corresponding temperature data; the method is also used for acquiring an instantaneous sealing efficiency mean value VB in the target data set and a variance VN corresponding to the target data set based on the target data set, and outputting and obtaining a sealing efficiency characterization value Vcg according to the instantaneous sealing efficiency mean value VB and the data variance VN
An influence determination module: comparing the obtained temperature influence value ZC with a temperature influence threshold value, judging the temperature influence degree according to a comparison result, and generating influence signals, wherein the influence signals comprise strong influence signals and weak influence signals;
The target selection module: selecting different target data sets based on different influence signals;
An efficiency judging module: comparing the sealing efficiency characterization value Vcg with a sealing efficiency characterization threshold value, and judging the sealing efficiency of the turbine disc cavity according to a comparison result.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The foregoing has shown and described the basic principles, principal 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, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A turbine disc cavity sealing efficiency testing method is characterized by comprising the following steps of: comprising the following steps:
step one: acquiring instantaneous sealing efficiency data of a turbine disc cavity acquired at different acquisition time points in a plurality of acquisition time periods, wherein the instantaneous sealing efficiency data comprises instantaneous sealing efficiency values;
Step two: taking the instantaneous sealing efficiency value corresponding to different acquisition time points in each acquisition time period as a data group, obtaining a plurality of data groups when a plurality of acquisition time periods exist, and obtaining temperature data of each data group, wherein the temperature data comprises the instantaneous temperature value corresponding to each acquisition time point, and analyzing to obtain a temperature influence value ZC based on the instantaneous sealing efficiency value contained in the data group and the temperature data of each corresponding data group;
Step three: comparing the obtained temperature influence value ZC with a temperature influence threshold value, judging the temperature influence degree according to a comparison result, and generating influence signals, wherein the influence signals comprise strong influence signals and weak influence signals;
step four: selecting different target data sets based on different influence signals;
Step five: based on the target data set, acquiring an instantaneous sealing efficiency mean value VB in the target data set and a variance VN corresponding to the target data set, and outputting and obtaining a sealing efficiency characterization value Vcg according to the instantaneous sealing efficiency mean value VB and the data variance VN;
Step six: comparing the sealing efficiency characterization value Vcg with a sealing efficiency characterization threshold: if the sealing efficiency characterization value Vcg is more than or equal to Vcz, the sealing efficiency of the turbine disk cavity is high;
if the sealing efficiency characterization value Vcg is smaller than Vcz, the sealing efficiency of the turbine disk cavity is low.
2. The turbine disc cavity sealing efficiency testing method according to claim 1, wherein the method comprises the following steps: the temperature influence value ZC is obtained by the following steps:
Marking and connecting the instantaneous sealing efficiency values corresponding to different acquisition time points and the instantaneous temperature values corresponding to different acquisition time points in an X-Y coordinate system respectively to obtain instantaneous temperature change folding lines and instantaneous sealing efficiency change folding lines;
Dividing the instant sealing efficiency folding line into a plurality of instant sealing efficiency sub folding lines respectively;
dividing the instantaneous temperature change folding line into a plurality of instantaneous temperature change sub-folding lines respectively;
calculating the slope of each instantaneous temperature sub-folding line and the slope of the corresponding instantaneous sealing efficiency sub-folding line;
If the positive and negative polarities of the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are the same, marking the instantaneous temperature sub-folding lines and the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines as a superposition sub-folding line group;
If the positive and negative polarities of the slopes of the instantaneous temperature sub-folding lines and the slopes of the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines are opposite, marking the instantaneous temperature sub-folding lines and the instantaneous sealing efficiency sub-folding lines corresponding to the instantaneous temperature sub-folding lines as non-coincident sub-folding line groups;
Obtaining the average value of the number of the overlapping sub-polyline groups and marking the average value as Di;
The slope difference average value corresponding to the overlapping sub-polyline group is marked as Fi;
By the formula: And obtaining a temperature influence value ZC, wherein s1 and s2 are preset proportionality coefficients, the value of s1 is 1.02, and the value of s2 is 1.14.
3. The turbine disc cavity sealing efficiency testing method according to claim 2, wherein the method comprises the following steps: the acquisition mode of the overlapping sub-polyline group quantity accounting for the average Di is as follows:
counting the number of the coincident sub-polyline groups and the number of the non-coincident sub-polyline groups in each data group, and summing the numbers of the coincident sub-polyline groups and the non-coincident sub-polyline groups to obtain the number of the sub-polyline groups;
Performing ratio processing on the number of the coincident sub-polyline groups and the number of the sub-polyline groups in each data group to obtain the corresponding number of the coincident sub-polyline groups of each data group;
And summing the number proportion of the overlapping sub-polyline groups corresponding to each data group to obtain a mean value, and obtaining a mean value Di of the number proportion of the overlapping sub-polyline groups.
4. The turbine disc cavity sealing efficiency testing method according to claim 2, wherein the method comprises the following steps:
the acquisition mode of the slope difference mean value Fi corresponding to the overlapping sub-polyline group is as follows:
And in the overlapping sub-broken line groups, carrying out difference processing on the slope of the instantaneous temperature sub-broken line and the slope of the corresponding instantaneous sealing efficiency sub-broken line, taking the absolute value of the difference value to obtain the slope difference value corresponding to the overlapping sub-broken line groups, and summing the slope difference values corresponding to each overlapping sub-broken line group to obtain the average value of the slope difference values corresponding to the overlapping sub-broken line groups.
5. The turbine disc cavity sealing efficiency testing method according to claim 2, wherein the method comprises the following steps:
Comparing the temperature influence value ZC with a temperature influence threshold value:
Specifically, the preset temperature influence threshold is ZT;
if the temperature influence value ZC is more than or equal to the temperature influence threshold ZT, the temperature influence degree is higher, and a strong influence signal is generated;
if the temperature influence value ZC is smaller than the temperature influence threshold ZT, the temperature influence value ZC indicates that the temperature influence degree is weak, and an influence weak signal is generated.
6. The turbine disc cavity sealing efficiency testing method according to claim 5, wherein the method comprises the following steps:
And integrating all the data sets into one data set based on the generated weak influence signals, and taking the integrated data set as a target data set.
7. The turbine disc cavity sealing efficiency testing method according to claim 5, wherein the method comprises the following steps:
Based on the generated strong influence signals, obtaining an instantaneous temperature change broken line and an instantaneous temperature average value again based on the temperature data, marking the instantaneous temperature average value as a reference value on a Y axis in a coordinate system where the instantaneous temperature change broken line is located, and marking the instantaneous temperature average value as a reference line by making a straight line parallel to an X axis through the reference value;
Based on the temperature change fold line and the datum line, obtaining a ratio GF of the first area to the second area and a ratio GU of the superposition length to the datum line length;
By the formula: obtaining a temperature fluctuation parameter GH, wherein a1 and a2 are preset proportionality coefficients, the value of a1 is 1.25, and the value of a2 is 1.36;
Obtaining temperature fluctuation parameters of each data set And selecting the data set corresponding to the minimum temperature fluctuation parameter as a target data set.
8. The turbine disc cavity sealing efficiency testing method according to claim 7, wherein the method comprises the following steps: the ratio GF of the first area to the second area is obtained by:
And measuring the area surrounded by the datum line and the instantaneous temperature change fold line and the area surrounded by the datum line and the X axis, marking the areas as a first area and a second area respectively, and carrying out ratio processing on the first area and the second area, wherein the ratio GF of the first area to the second area.
9. The turbine disc cavity sealing efficiency testing method according to claim 7, wherein the method comprises the following steps: the acquisition mode of the ratio GU of the superposition length and the datum line length is as follows:
And measuring the superposition length between the datum line and the instantaneous temperature change fold line and the horizontal length of the datum line, marking the superposition length and the datum line length as the superposition length and the datum line length respectively, performing ratio processing on the superposition length and the datum line length to obtain the ratio of the superposition length to the datum line length, and marking the ratio as GU.
10. A turbine disc cavity sealing efficiency test system, the system implementing a turbine disc cavity sealing efficiency test method according to any one of claims 1-9, characterized in that: the system comprises:
and a data acquisition module: acquiring instantaneous sealing efficiency data of a turbine disc cavity acquired at different acquisition time points in a plurality of acquisition time periods, wherein the instantaneous sealing efficiency data comprises instantaneous sealing efficiency values;
And a data analysis module: the method comprises the steps of taking instantaneous sealing efficiency values corresponding to different acquisition time points in each acquisition time period as a data set, obtaining a plurality of data sets when the plurality of acquisition time periods exist, and obtaining temperature data of each data set, wherein the temperature data comprise instantaneous temperature values corresponding to each acquisition time point, and analyzing to obtain a temperature influence value ZC based on the instantaneous sealing efficiency values and the corresponding temperature data contained in the data sets; the method is also used for acquiring an instantaneous sealing efficiency mean value VB in the target data set and a variance VN corresponding to the target data set based on the target data set, and outputting and obtaining a sealing efficiency characterization value Vcg according to the instantaneous sealing efficiency mean value VB and the data variance VN;
An influence determination module: comparing the obtained temperature influence value ZC with a temperature influence threshold value, judging the temperature influence degree according to a comparison result, and generating influence signals, wherein the influence signals comprise strong influence signals and weak influence signals;
The target selection module: selecting different target data sets based on different influence signals;
An efficiency judging module: comparing the sealing efficiency characterization value Vcg with a sealing efficiency characterization threshold: if the sealing efficiency characterization value Vcg is more than or equal to Vcz, the sealing efficiency of the turbine disk cavity is high; if the sealing efficiency characterization value Vcg is smaller than Vcz, the sealing efficiency of the turbine disk cavity is low.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410327063.1A CN117928832B (en) | 2024-03-21 | 2024-03-21 | Turbine disc cavity sealing efficiency testing method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410327063.1A CN117928832B (en) | 2024-03-21 | 2024-03-21 | Turbine disc cavity sealing efficiency testing method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117928832A true CN117928832A (en) | 2024-04-26 |
CN117928832B CN117928832B (en) | 2024-05-17 |
Family
ID=90770578
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410327063.1A Active CN117928832B (en) | 2024-03-21 | 2024-03-21 | Turbine disc cavity sealing efficiency testing method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117928832B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205297653U (en) * | 2015-12-30 | 2016-06-08 | 中航商用航空发动机有限责任公司 | Turbine disc rim obturage structure, aeroengine turbine and aeroengine |
CN107605543A (en) * | 2017-08-14 | 2018-01-19 | 西北工业大学 | A kind of dividing disc cavity configuration for wheel rim sealing |
CN110750845A (en) * | 2019-11-13 | 2020-02-04 | 中国科学院工程热物理研究所 | Method for improving sealing efficiency of disc cavity based on end wall rough area |
US20200200011A1 (en) * | 2017-06-20 | 2020-06-25 | Siemens Aktiengesellschaft | Life extension of power turbine disks exposed to in-service corrosion damage |
CN113932974A (en) * | 2021-09-07 | 2022-01-14 | 中国科学院工程热物理研究所 | Method and device for testing sealing efficiency of turbine disc cavity |
CN114626707A (en) * | 2022-03-05 | 2022-06-14 | 中密控股股份有限公司 | Mechanical seal self-adaptive early warning method and device |
CN115949475A (en) * | 2022-12-20 | 2023-04-11 | 中国科学院工程热物理研究所 | High-temperature turbine disc cavity sealing structure based on multi-wing centrifugal blades and turbine |
CN116644523A (en) * | 2023-07-27 | 2023-08-25 | 中国航发四川燃气涡轮研究院 | Design method and system for auxiliary sealing hole of rotor and stator rim |
-
2024
- 2024-03-21 CN CN202410327063.1A patent/CN117928832B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205297653U (en) * | 2015-12-30 | 2016-06-08 | 中航商用航空发动机有限责任公司 | Turbine disc rim obturage structure, aeroengine turbine and aeroengine |
US20200200011A1 (en) * | 2017-06-20 | 2020-06-25 | Siemens Aktiengesellschaft | Life extension of power turbine disks exposed to in-service corrosion damage |
CN107605543A (en) * | 2017-08-14 | 2018-01-19 | 西北工业大学 | A kind of dividing disc cavity configuration for wheel rim sealing |
CN110750845A (en) * | 2019-11-13 | 2020-02-04 | 中国科学院工程热物理研究所 | Method for improving sealing efficiency of disc cavity based on end wall rough area |
CN113932974A (en) * | 2021-09-07 | 2022-01-14 | 中国科学院工程热物理研究所 | Method and device for testing sealing efficiency of turbine disc cavity |
CN114626707A (en) * | 2022-03-05 | 2022-06-14 | 中密控股股份有限公司 | Mechanical seal self-adaptive early warning method and device |
CN115949475A (en) * | 2022-12-20 | 2023-04-11 | 中国科学院工程热物理研究所 | High-temperature turbine disc cavity sealing structure based on multi-wing centrifugal blades and turbine |
CN116644523A (en) * | 2023-07-27 | 2023-08-25 | 中国航发四川燃气涡轮研究院 | Design method and system for auxiliary sealing hole of rotor and stator rim |
Non-Patent Citations (1)
Title |
---|
郑加伟;宣扬;: "航空发动机涡轮盘腔空气系统瞬态仿真研究", 科技视界, no. 08, 15 March 2017 (2017-03-15) * |
Also Published As
Publication number | Publication date |
---|---|
CN117928832B (en) | 2024-05-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108119318B (en) | Blower technological transformation effect of optimization appraisal procedure and its system based on unit wind measuring system | |
CN109409016B (en) | Visualization method for unsteady flow of aero-engine compressor | |
CN109444340A (en) | Flammable gas alarm automatic calibrator and its operating method based on image recognition | |
CN112378664A (en) | Method for simulating non-road mobile machinery vehicle-mounted emission test on engine rack | |
CN116104791A (en) | Test bed and test method for influence of axial flow compressor blade tip clearance flow on stall | |
CN117928832B (en) | Turbine disc cavity sealing efficiency testing method and system | |
CN113029571B (en) | System and method for testing pollutant emission of hydraulic excavator | |
CN115163330B (en) | Method for determining stability boundary of compression system of double-bypass core machine | |
CN112179665B (en) | Method for acquiring inlet stagnation pressure of low-pressure turbine performance test | |
CN108197342B (en) | Method for calculating non-design air leakage of air system of aircraft engine | |
CN115575074A (en) | High-speed wind tunnel ventilation model internal resistance measurement uncertainty analysis method | |
CN113295586A (en) | Data calibration method of atmospheric pollution monitoring system | |
CN114659800A (en) | RDE simulation test method, system, storage medium and electronic equipment | |
CN113323648B (en) | Method and device for determining unimpeded flow of gas well | |
CN118469597B (en) | Method and system for metering carbon emission and carbon footprint based on industrial enterprise | |
CN111428396A (en) | Method for evaluating abrasion degree of hinge pin shaft of online loader | |
CN115372919B (en) | Radar target echo simulation performance evaluation method based on t-test | |
CN118408673B (en) | Method and system for correcting total pressure of inlet of air compressor based on intermediate casing loss model | |
Zachos et al. | Flowfield Investigation of a Compressor Cascade at High Incidence—Part 1: Pneumatic Probe Measurements | |
CN118364408B (en) | Method and system for identifying faults of oil-gas separator based on aeroengine | |
CN109754582A (en) | A kind of wireless meter reading method of gas meter, flow meter | |
CN116659870B (en) | Method and device for determining time constant of temperature sensor of turbofan engine | |
CN115183982B (en) | Large-scale low-speed wind tunnel pulsating pressure test data processing method and equipment | |
CN117842373A (en) | Digital full life cycle management method and device for test parameters | |
CN115680780B (en) | Turbine blade plane blade grid inlet axial speed control method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |