A method for rapid verification of variable flow inlet wind tunnel test data

Abstract

The application relates to a rapid verification method for variable-flow inlet duct wind tunnel test data, belongs to the pressure sensor field, and aims at solving the problems of low efficiency and poor accuracy of traditional calculation methods, which are not conducive to high-quality performance of the inlet duct wind tunnel test, and comprises the following steps: measurement point grouping and sorting, characteristic value extraction, characteristic value matrixing and effectiveness verification. Firstly, the measurement points are classified, grouped and sorted according to the positions of the steady / dynamic measurement points on the measurement section, the flowmeter and the inner surface of the pipeline. Then, the characteristic values capable of representing the states of the measurement points are directly extracted or indirectly calculated according to the measurement point groups. Then, the characteristic values of the measurement point groups under different inlet flow rates are sequentially stacked according to the order of the increasing inlet flow rates to form a characteristic value matrix. Finally, the rationality of the characteristic value matrix is judged by taking the aerodynamic theory rule of the characteristic value change with the flow rate as the criterion. The rapid verification method for the variable-flow inlet duct wind tunnel test data has a good application prospect in the field of aerospace.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of pressure sensors, in particular to a rapid verification method for variable flow inlet duct wind tunnel test data. BACKGROUND

[0002] Inlet duct wind tunnel test is an important research method to obtain inlet duct performance. Inlet duct wind tunnel test belongs to pressure measurement test category, and during the test process, conditions such as leakage of steady-state pressure measurement pipe and damage of dynamic sensor may occur at any time, which leads to abnormal pressure data measured by the measuring point, and further affects the calculation of inlet duct aerodynamic performance, so it is necessary to verify the data after each test. In the variable flow inlet duct wind tunnel test, due to the influence of the number of measuring points and the number of flow points, a large amount of pressure data will be generated in each test. For this purpose, the traditional data verification method is to manually compare the pressure data at part of the flow points, but this method has the problems of low efficiency and poor accuracy, which is not conducive to the high quality of inlet duct wind tunnel test. Therefore, it is necessary to develop a rapid verification method for variable flow inlet duct wind tunnel test data. SUMMARY

[0003] In order to solve the problems of low efficiency and poor accuracy of traditional calculation method, which is not conducive to the high quality of inlet duct wind tunnel test, the present application provides a rapid verification method for variable flow inlet duct wind tunnel test data, which comprises the following steps:

[0004] Step one: grouping and sorting of measuring points, the measuring point groups include: measuring section steady-state total pressure measuring point group, measuring section steady-state static pressure measuring point group, measuring section dynamic pressure measuring point group, flowmeter steady-state total pressure measuring point group, flowmeter steady-state static pressure measuring point group, inner surface steady-state measuring point group and inner surface dynamic measuring point group;

[0005] Step two: feature value extraction, different feature values are extracted according to the measuring point groups to represent the working state of the measuring point;

[0006] The measuring section steady-state total pressure measuring point group, the measuring section steady-state static pressure measuring point group, the flowmeter steady-state total pressure measuring point group, the flowmeter steady-state static pressure measuring point group and the inner surface steady-state measuring point group select the original pressure value as the feature value;

[0007] The measuring section dynamic pressure measuring point group selects the ratio of the root mean square value of the dynamic pressure array to the average value of the measuring section steady-state total pressure, i.e. the turbulence degree, as the feature value;

[0008] The inner surface dynamic measuring point group selects the average value of the dynamic pressure array as the feature value;

[0009] Step three: matrixing of feature values, the feature values of the same measuring point group at different flow points are arranged in the order of increasing flow to form a feature value matrix;

[0010] Step 4: Validity verification. The rationality of the eigenvalue matrix is ​​judged based on whether the changes in eigenvalues ​​with flow rate conform to the laws of aerodynamics.

[0011] Furthermore, the specific steps to determine the reasonableness of the eigenvalue matrix are as follows:

[0012] If the matrix of steady-state total pressure measurement points in the measurement section is reasonable, it should meet the criteria for objectivity and difference.

[0013] If the matrix of steady-state static pressure measuring points in the measurement section is reasonable, it should meet the criteria of objectivity, variability, monotonically decreasing, and uniformity.

[0014] If the matrix of dynamic pressure measuring points in the measurement section is reasonable, it should meet the criteria of objectivity, variability, monotonically increasing, and uniformity.

[0015] If the steady-state total pressure measurement point group matrix or the steady-state static pressure measurement point group matrix of the flowmeter is reasonable, it should meet the criteria of objectivity, variability, monotonically decreasing and uniformity.

[0016] If the matrix of steady-state measuring points on the inner surface or the matrix of dynamic measuring points on the inner surface are reasonable, then they should meet the criteria of objectivity and difference.

[0017] Furthermore, the objectivity is achieved through:

[0018] ;

[0019] Judgment, in which, It is the difference between the theoretical upper limit of eigenvalues ​​and any eigenvalue. The upper limit of the theoretical eigenvalues, Let be any eigenvalue in the eigenvalue matrix;

[0020] The difference is achieved through:

[0021] ;

[0022] Judgment, in which, The difference between the eigenvalues ​​of two adjacent columns in the eigenvalue matrix. The eigenvalue matrix is ​​the th x +1n Column feature values;

[0023] The monotonically decreasing property is achieved through:

[0024] ;

[0025] Judgment, in which, The eigenvalue matrix is ​​the th m mean of row eigenvalues It is the difference between the mean values ​​of the eigenvalues ​​of two adjacent rows in the eigenvalue matrix.

[0026] The monotonically increasing property is achieved through:

[0027] ;

[0028] judge;

[0029] The homogeneity criterion is obtained through:

[0030] ;

[0031] Judgment, in which, The maximum value in the m-th row of the eigenvalue matrix. The eigenvalue matrix is ​​the th m minimum value of row For the eigenvalue matrix, the th m Linear unevenness, To set a threshold.

[0032] Furthermore, the set threshold is specifically as follows:

[0033] For the steady-state static pressure measuring point group matrix of the measurement section, α≤0.05; for the steady-state total pressure measuring point group matrix and the steady-state static pressure measuring point group matrix of the flowmeter, α≤0.03; for the dynamic pressure measuring point group matrix of the measurement section, α≤1.0.

[0034] The present invention also provides an electronic device, which includes a memory and a processor. The memory stores a computer program. When the processor runs the computer program stored in the memory, the processor executes the above-described rapid verification method for variable flow inlet wind tunnel test data.

[0035] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for rapid verification of variable flow inlet wind tunnel test data.

[0036] The beneficial effects of this invention are as follows: First, the method groups and sorts the measuring points according to their location, and then superimposes and arranges the characteristic values ​​of the measuring points in ascending order of flow rate to form a characteristic value matrix. The resulting characteristic value matrix has no limit on the number of rows and columns, making the method applicable. Second, based on the characteristics of the pressure data measured by the measuring point group and combined with aerodynamic theory, the method selects reasonable characteristic values ​​and characteristic value matrix criteria, ensuring accuracy. Third, the implementation steps proposed by this method have clear mathematical logic and well-defined theoretical criteria, enabling rapid verification of intake duct wind tunnel test data through computer programming, thus demonstrating high efficiency. Attached Figure Description

[0037] Figure 1 A flowchart of a rapid verification method for wind tunnel test data of a variable flow inlet;

[0038] Figure 2 Schematic diagram of measuring section measuring point position;

[0039] Figure 3 Schematic diagram of inlet measuring point position;

[0040] Figure 4 Schematic diagram of flowmeter measuring point position;

[0041] Figure 5 Schematic diagram of flowmeter, measuring section and inlet connection.

[0042] In the figure, 1-measuring section 2-measuring section total pressure rake 3-measuring section steady state total pressure measuring point 4-measuring section dynamic pressure measuring point 5-measuring section steady state static pressure measuring point 6-inlet 7-inlet inner surface steady state measuring point 8-inlet inner surface dynamic pressure measuring point 9-inlet inner surface steady state measuring point profile 10-flowmeter 11-flowmeter steady state total pressure measuring point 12-flowmeter static pressure measuring point. DETAILED DESCRIPTION

[0043] In order to make the technical solutions and advantages in the embodiments of the present application more clear and apparent, the following further describes the exemplary embodiments of the present application in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0044] Embodiment 1, in conjunction with Figure 1 To solve the problem of low efficiency and poor accuracy of the traditional accounting method, which is not conducive to the high quality of the inlet wind tunnel test, the present application provides a rapid verification method for variable flow inlet wind tunnel test data, comprising the following steps:

[0045] Step one: grouping and sorting of measuring points, the measuring point groups include: measuring section steady state total pressure measuring point group, measuring section steady state static pressure measuring point group, measuring section dynamic pressure measuring point group, flowmeter steady state total pressure measuring point group, flowmeter steady state static pressure measuring point group, inner surface steady state measuring point group and inner surface dynamic measuring point group;

[0046] Step two: feature value extraction, different feature values are extracted according to the measuring point groups to represent the working state of the measuring points;

[0047] The measuring section steady state total pressure measuring point group, the measuring section steady state static pressure measuring point group, the flowmeter steady state total pressure measuring point group, the flowmeter steady state static pressure measuring point group and the inner surface steady state measuring point group select the original pressure value as the feature value;

[0048] The ratio of the root mean square value of the dynamic pressure array to the average value of the steady-state total pressure of the measurement section, i.e., the turbulence degree, is selected as the characteristic value.

[0049] The average value of the dynamic pressure array of the inner surface dynamic measurement point group is selected as the characteristic value.

[0050] Step three: matrix the characteristic values, and arrange the characteristic values of the same measurement point group at different flow points in the order of increasing flow to form a characteristic value matrix.

[0051] Step four: verify the effectiveness, and determine the rationality of the characteristic value matrix according to whether the characteristic values change with the flow in accordance with the laws of aerodynamics.

[0052] Specifically, in combination with Figures 2-5 It can be seen that the aerodynamic characteristics of the inlet duct are obtained by measuring the pressure data at different flows through the measurement section 4, the flow meter 1, and the inner surface 9 measurement points. The measurement section 4 has i total pressure rakes 5, each of which has j steady-state total pressure measurement points 6, which are named P ij , and k steady-state static pressure measurement points 8, which are named J k , m dynamic pressure measurement points 7, which are named DT m ; the flow meter 1 has a steady-state total pressure measurement points 2, which are named LP a , b steady-state static pressure measurement points 3, which are named LJ b ; the inner surface of the inlet duct has x steady-state pressure measurement profiles 12, each of which has y1, y2… y y steady-state measurement points 10, which are named Y xy , and n dynamic measurement points 11, which are named DT n . The measurement points are grouped and sorted according to the following rules to obtain i + x +5) measurement point groups.

[0053] Table 1: Measurement section steady-state total pressure measurement point group sequence

[0054]

[0055] Table 2: Measurement section steady-state static pressure measurement point group sequence

[0056]

[0057] Table 3: Sequence of dynamic pressure measuring point groups in measuring section

[0058]

[0059] Table 4: Sequence of total pressure measuring point groups in flowmeter steady state

[0060]

[0061] Table 5: Sequence of static pressure measuring point groups in flowmeter steady state

[0062]

[0063] Table 6: Sequence of inner surface steady state measuring point groups

[0064]

[0065] Table 7: Sequence of inner surface dynamic measuring point groups

[0066]

[0067] The eigenvalue matrix is in the form as follows:

[0068] Table 8: Eigenvalue matrix

[0069]

[0070] wherein, Wc m is the nth flow point in ascending order of test flow points; m X n is the nth measuring point of a measuring point group; Tz mn is the eigenvalue of the nth measuring point of a measuring point group at the mth flow point in test. m n The rationality of the eigenvalue matrix is determined as follows:

[0071] If the measuring section steady state total pressure measuring point group matrix is rational, it should meet the objectivity and difference criteria;

[0072] If the measuring section steady state static pressure measuring point group matrix is rational, it should meet the objectivity, difference, monotone decreasing, and uniformity criteria;

[0073] If the measuring section dynamic pressure measuring point group matrix is rational, it should meet the objectivity, difference, monotone increasing, and uniformity criteria;

[0074] If the flowmeter steady state total pressure measuring point group matrix or the flowmeter steady state static pressure measuring point group matrix is rational, it should meet the objectivity, difference, monotone decreasing, and uniformity criteria;

[0075] If the flowmeter steady state total pressure measuring point group matrix or the flowmeter steady state static pressure measuring point group matrix is rational, it should meet the objectivity, difference, monotone decreasing, and uniformity criteria;

[0076] ​​If the matrix of steady-state measuring points on the inner surface or the matrix of dynamic measuring points on the inner surface are reasonable, then they should meet the criteria of objectivity and difference.

[0077] The objectivity is achieved through:

[0078] ;

[0079] Judgment, in which, It is the difference between the theoretical upper limit of eigenvalues ​​and any eigenvalue. The upper limit of the theoretical eigenvalues, Let be any eigenvalue in the eigenvalue matrix;

[0080] Specifically, any eigenvalue in the eigenvalue matrix All should be less than When the characteristic value is the original pressure value or the mean of the pressure array, Take the total pressure of the wind tunnel; when the characteristic value is turbulence intensity... Take 0.1.

[0081] The difference is achieved through:

[0082] ;

[0083] Judgment, in which, The difference between the eigenvalues ​​of two adjacent columns in the eigenvalue matrix. The eigenvalue matrix is ​​the th x+1n Column feature values;

[0084] The monotonically decreasing property is achieved through:

[0085] ;

[0086] Judgment, in which, The eigenvalue matrix is ​​the th m mean of row eigenvalues It is the difference between the mean values ​​of the eigenvalues ​​of two adjacent rows in the eigenvalue matrix.

[0087] The monotonically increasing property is achieved through:

[0088] ;

[0089] judge;

[0090] The homogeneity criterion is obtained through:

[0091] ;

[0092] Judgment, in which, The maximum value in the m-th row of the eigenvalue matrix. The eigenvalue matrix is ​​the th m minimum value of row is the eigenvalue matrix of the first m is the non-uniformity of the row, is the set threshold value.

[0093] The set threshold value is specifically:

[0094] For the steady-state static pressure measuring point group matrix of the measuring section, α≤0.05; for the total pressure point group matrix of the flowmeter and the steady-state static pressure measuring point group matrix of the flowmeter, α≤0.03; for the dynamic pressure measuring point group matrix of the measuring section, α≤1.0.

[0095] Embodiment 2: The electronic device of the present application can be a device comprising a processor and a memory, such as a single-chip microcomputer comprising a central processing unit. Moreover, the processor is used to execute the computer program stored in the memory to realize the steps of the rapid verification method of variable-flow inlet tunnel test data.

[0096] Embodiment 3: The computer-readable storage medium of the present application can be any form of storage medium readable by the processor of the computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc., and the computer-readable storage medium stores a computer program. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the rapid verification method of variable-flow inlet tunnel test data can be realized.

Claims

1. A method for rapid verification of variable flow inlet duct wind tunnel test data, characterized by, Comprising the following steps: Step one: measurement point grouping and sorting, the measurement point groups include: measurement section steady total pressure measurement point group, measurement section steady static pressure measurement point group, measurement section dynamic pressure measurement point group, flowmeter steady total pressure measurement point group, flowmeter steady static pressure measurement point group, inner surface steady measurement point group and inner surface dynamic measurement point group; Step two: feature value extraction, different feature values are extracted according to the measurement point groups to represent the working state of the measurement points; The measurement section steady total pressure measurement point group, the measurement section steady static pressure measurement point group, the flowmeter steady total pressure measurement point group, the flowmeter steady static pressure measurement point group and the inner surface steady measurement point group select the original pressure value as the feature value; The measurement section dynamic pressure measurement point group selects the ratio of the root mean square value of the dynamic pressure array to the average value of the measurement section steady total pressure as the feature value; The inner surface dynamic measurement point group selects the average value of the dynamic pressure array as the feature value; Step three: feature value matrix, the feature values of the same measurement point group at different flow points are arranged in order of increasing flow to form a feature value matrix; Step four: effectiveness verification, whether the feature value changes with the flow in accordance with the laws of aerodynamics is used as a criterion to judge the rationality of the feature value matrix.

2. The method of claim 1, wherein The rationality of the feature value matrix is specifically: If the measurement section steady total pressure measurement point group matrix is reasonable, it should meet the objectivity and difference criteria; If the measurement section steady static pressure measurement point group matrix is reasonable, it should meet the objectivity, difference, monotone decreasing, uniformity criteria; If the measurement section dynamic pressure measurement point group matrix is reasonable, it should meet the objectivity, difference, monotone increasing, uniformity criteria; If the flowmeter steady total pressure measurement point group matrix or the flowmeter steady static pressure measurement point group matrix is reasonable, it should meet the objectivity, difference, monotone decreasing, uniformity criteria; If the inner surface steady measurement point group matrix or the inner surface dynamic measurement point group matrix is reasonable, it should meet the objectivity, difference criteria.

3. The method of claim 2, wherein The objectivity is passed through: ； determining, wherein is a difference between the upper limit of the theoretical eigenvalue and an arbitrary eigenvalue, is an upper limit of the theoretical eigenvalue, is an arbitrary eigenvalue in the eigenvalue matrix; The difference is passed through: ； determining, wherein is a difference between two adjacent eigenvalues in the eigenvalue matrix, is an eigenvalue in the eigenvalue matrix, x+1n is an eigenvalue in the eigenvalue matrix. The monotone decreasing is passed through: ； determining, wherein is the difference between the mean of the eigenvalues in the m row of the eigenvalue matrix and the mean of the eigenvalues in the preceding row of the eigenvalue matrix; The monotone increasing is passed through: ； Judgment; The uniformity criterion is passed through: ； determining, wherein is the maximum value of the eigenvalue matrix in the m row, is the minimum value of the eigenvalue matrix in the m row, is the unevenness of the eigenvalue matrix in the m row, is a set threshold value.

4. The method of claim 3, wherein The set threshold is specifically: For the measurement section steady static pressure measurement point group matrix, α≤0.05; for the flowmeter steady total pressure point group matrix and the flowmeter steady static pressure measurement point group matrix, α≤0.03; for the measurement section dynamic pressure measurement point group matrix, α≤1.

0.

5. An electronic device, characterized by The computer program is executed by the processor to realize the steps of the rapid verification method of the variable flow inlet duct wind tunnel test data of any one of claims 1-4.

6. A computer readable storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to realize the rapid verification method of the variable flow inlet duct wind tunnel test data of any one of claims 1-4.

Images