Gas compressor performance prediction method based on measurement data

Abstract

The invention provides a gas compressor performance prediction method based on measurement data, and the method comprises the steps: determining the abscissa of a blade profile curve sampling point on each fixed section, and enabling the position of the sampling point to be taken according to equal distance, equal arc length, or based on the curvature of a profile curve; blade profile measuring equipment is adopted, the ordinates of the surface points of the blade objects are measured according to the determined cross section positions and the sampling point abscissas, the ordinates of N blades of the same type are measured, and N is the number of the blades measured by the objects; the data processing method comprises the following steps: performing data analysis on N vertical coordinate measured values of a horizontal coordinate according to normal distribution to obtain an average value of the vertical coordinate; and importing into three-dimensional software for modeling, and generating a blade calculation model based on measurement data. The method has the advantages that the blade calculation model based on the measurement data is adopted, gas compressor part simulation calculation analysis is carried out regularly, and the product installation performance and reliability are predicted and controlled more accurately.

Description

Technical Field

[0001] The invention relates to the technical field of aeroengines, and in particular to a compressor performance prediction method based on measurement data. Background Art

[0002] In the process of aircraft engine manufacturing, it is necessary to predict the installed performance and reliability of the product. Specifically for compressor components, a theoretical calculation model is established based on the theoretical blade shape of the blade design drawing, and component simulation calculation and analysis work is carried out. Considering the complexity of the blade processing technology and the influence of manufacturing errors, the actual blade surface has a certain deviation from the theoretical blade surface. Therefore, there is a deviation between the simulation calculation and analysis results and the actual product, and it is impossible to accurately predict the actual performance and reliability of the product. Summary of the invention

[0003] The purpose of the present invention is to generate a blade calculation model based on the measurement data of the manufacturing process, thereby completing the calculation and prediction of compressor performance, and particularly provides a compressor performance prediction method based on the measurement data.

[0004] The present invention provides a compressor performance prediction method based on measurement data. According to the blade theoretical model, the horizontal coordinates of the sampling points of the blade profile curve on each fixed section are determined. The positions of the sampling points can be taken at equal distances, equal arc lengths, or based on the curvature of the profile curve.

[0005] Using blade profile measurement equipment, measure the ordinate of the actual surface point of the blade according to the determined cross-sectional position and the horizontal coordinate of the sampling point, and complete the ordinate measurement for N blades of the same type, where N is the number of blades measured physically;

[0006] After completing the statistics of blade measurement data, the measurement data processing work is carried out. The data processing method is as follows:

[0007] Perform data analysis on the N vertical coordinate measurement values ​​of the horizontal coordinate, analyze them according to the normal distribution, and obtain the average value of the vertical coordinate;

[0008] The cross-sectional position, horizontal coordinate, and average value are used as input and imported into the 3D software for modeling to generate a blade calculation model based on the measured data;

[0009] Using blade calculation models based on measured data, regular simulation and analysis of compressor components are performed to predict and control product installed performance and reliability.

[0010] The number N of blades measured in kind is specifically 20-40% of the number of blades manufactured in the cycle.

[0011] Formulate a statistical method for blade physical measurement data and collect statistics on blade physical measurement data. Formulate a method for processing blade physical profile data and process blade profile measurement data. Generate a blade calculation model based on the measurement data, perform simulation calculation and analysis of compressor components, and predict product installation performance and reliability.

[0012] Compared with the prior art, the present invention has the following advantages:

[0013] By using a blade calculation model based on measured data, regular simulation calculation and analysis of compressor components are carried out to more accurately predict and control the product's installed performance and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments:

[0015] Figure 1 It is the blade profile measurement method;

[0016] Figure 2 To measure data statistics;

[0017] Figure 3 X is the horizontal axis ij The vertical coordinate Y of the surface point ij ;

[0018] Figure 4 Y is the vertical coordinate ij Data analysis. DETAILED DESCRIPTION

[0019] The present invention will be further explained below in conjunction with specific implementation plans, but the present invention is not limited thereto. The structures, proportions, sizes, etc. illustrated in the drawings of the specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the restrictive conditions under which the present invention can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed by the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0020] At present, the commonly used method of measuring blade objects is to scan the blade surface along the cross section at a fixed position, such as Figure 1 As shown, the actual surface coordinate data of the blade is obtained. However, considering that there are many types of blades in the compressor, there are many different types of blades. If the measurement data of one blade is selected for each blade to establish the calculation model, the model will be insufficiently representative. Therefore, it is necessary to carry out statistics of blade measurement data, and the statistical method is as follows:

[0021] According to the blade theoretical model, determine the horizontal coordinate X of the blade profile curve sampling point on each fixed section (section number i)ij like Figure 2 As shown in the figure, j is the point number. The sampling points can be selected based on equal distance, equal arc length, or based on the curvature of the profile curve.

[0022] Use blade profile measurement equipment to determine the cross-sectional position and sampling point abscissa X ij Measure the vertical coordinate Y of the actual surface point of the blade ij ,like Figure 3 As shown, complete the vertical coordinate Y for N similar leaves ij Measurement, N is the number of blades measured physically, specifically 30% of the number of blades manufactured in this cycle.

[0023] After completing the statistics of blade measurement data according to the above method, the measurement data processing work is carried out. The data processing method is as follows:

[0024] For the horizontal axis X ij The N vertical coordinate measurement values ​​Y ij ,like Figure 4 As shown, data analysis is performed according to normal distribution, and the vertical coordinate Y is obtained. ij The average

[0025] With the cross-section position and the horizontal coordinate X ij ,average value The data is imported into 3D software for modeling and a blade calculation model based on the measured data is generated.

[0026] Using blade calculation models based on measured data, regular simulation and analysis of compressor components are performed to predict and control product installed performance and reliability.

[0027] Matters not covered by the present invention are known technologies.

[0028] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A compressor performance prediction method based on measurement data, characterized in that: According to the blade theoretical model, the horizontal coordinates of the sampling points of the blade profile curve on each fixed section are determined. The sampling points can be located at equal distances, equal arc lengths, or based on the curvature of the profile curve. Using blade profile measurement equipment, measure the ordinate of the actual surface point of the blade according to the determined cross-sectional position and the horizontal coordinate of the sampling point, and complete the ordinate measurement for N blades of the same type, where N is the number of blades measured physically; After completing the statistics of blade measurement data, the measurement data processing work is carried out. The data processing method is as follows: Perform data analysis on the N vertical coordinate measurement values ​​of the horizontal coordinate, analyze them according to the normal distribution, and obtain the average value of the vertical coordinate; The cross-sectional position, horizontal coordinate, and average value are used as input and imported into the 3D software for modeling to generate a blade calculation model based on the measured data; Using blade calculation models based on measured data, regular simulation and analysis of compressor components are performed to predict and control product installed performance and reliability.

2. The compressor performance prediction method based on measurement data according to claim 1, characterized in that: The number N of blades measured in kind is specifically 20-40% of the number of blades manufactured in the cycle.

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