Aero-engine compressor sand dust erosion damage rapid prediction method and system

Abstract

This invention relates to the field of computational fluid dynamics, specifically to a method and system for rapid prediction of sand and dust erosion damage in aero-engine compressors. The method includes the following steps: selecting multiple sand and dust particles of the same particle size with different morphologies as target sand and dust particles, and setting the number of injected particles for each target sand and dust particle; based on the compressor's convergent flow field, obtaining the erosion damage distribution and degree of each target sand and dust particle on each row of blades; superimposing the erosion damage distribution and degree of each blade in the same row onto a single blade in the same row to obtain the erosion damage distribution and degree of each target sand and dust particle on each row of blades; increasing the number of injected particles for each target sand and dust particle by integer multiples to obtain a direct proportional relationship between the erosion damage degree of sand and dust particles of the same particle size on each row of blades and the number of target sample sand and dust particles, thereby obtaining the erosion damage distribution and degree of sand and dust particles of different particle sizes on each row of blades corresponding to different sand ingestion times.

Description

Technical Field

[0001] This invention relates to the field of computational fluid dynamics, specifically to a method and system for rapid prediction of sand and dust erosion damage in aero-engine compressors. Background Technology

[0002] When aircraft fly at low altitudes in desert environments or take off and land under sandy conditions, sand and dust are drawn into the aircraft engine with the high-speed airflow. The repeated impact of this sand and dust on the compressor blades causes erosion and wear on the blade surfaces, damaging the blade's shape and structural integrity. This leads to a rapid decline in engine performance and a significant reduction in reliability. Therefore, to test the operational capability of aircraft engines after ingesting sand, the engine sand ingestion test has become a necessary test item for engine design finalization. The aircraft engine sand ingestion test involves maintaining the engine under specified operating conditions on the ground and continuously and uniformly ingesting a specific type of sand and dust. The aircraft engine sand ingestion test must strictly meet requirements regarding sand and dust distribution, total sand ingestion volume, engine operating conditions, and duration. Simultaneously, the engine must be able to operate for several hours cumulatively in the specified sandy environment. Based on this, the sand ingestion results can be used to determine the engine's qualification. Among these, the erosion damage results of the blades are a key focus of the test evaluation.

[0003] In existing technologies, numerical simulation has become an effective means of studying erosion damage to compressor blades due to the long cycle and high cost of sand ingestion tests. During sand ingestion in aero-engines, the sand particle distribution is relatively sparse, and its influence on the gas phase flow field is usually negligible; therefore, a one-way coupling method can be used for analysis. However, because the high-speed rotation of the rotor blades in the compressor blades causes continuous changes in the gas phase flow field, even with a one-way coupling method, it is still necessary to update the rotor blade position and gas phase flow field data at each time step. Currently, the main difficulty in numerical simulation of sand erosion on compressor blades lies in the fact that high-precision gas phase flow field simulation typically requires tens of millions or even hundreds of millions of grids, and because the rotor blade rotation speed and airflow velocity are high (reaching the hundreds of meters per second level), the time step for solving the sand particle phase must be set to 10. -7 ~10 -8 The number of sand particles in long-term sand ingestion simulations is on the order of seconds, resulting in an extremely large number of sand particles, leading to high computational complexity and low efficiency. Furthermore, actual sand ingestion tests often last for several hours, with sand particles entering the engine at rates reaching millions per second. Using the traditional methods described above, each sand particle needs to be tracked to accurately calculate blade erosion damage. Therefore, simulating engine blade damage throughout the entire sand ingestion test would require an extremely large number of sand particles, resulting in lengthy simulation times, huge resource consumption, and low computational efficiency, making it difficult to meet practical engineering requirements. Summary of the Invention

[0004] The purpose of this invention is to provide a rapid prediction method for sand and dust erosion damage to aero-engine compressors, so as to solve the problems of long time consumption, large computational resource consumption and low efficiency in the numerical simulation of sand and dust erosion of compressor blades in the prior art.

[0005] To address the aforementioned problems, this invention proposes a rapid prediction method for sand and dust erosion damage in aero-engine compressors. The technical solution employed is as follows:

[0006] A rapid prediction method for sand and dust erosion damage in aero-engine compressors includes the following steps:

[0007] Step S1: For sand and dust of different particle sizes, select multiple sand and dust particles with different morphologies as multiple target sand and dust particles of the same particle size, and set the initial velocity, entry position and number of injected particles for each target sand and dust particle at the compressor inlet.

[0008] Step S2: Based on the compressor convergent flow field, the initial velocity and entry position of each type of target sand and dust, the erosion damage distribution and erosion damage degree of each type of target sand and dust on each stage of the compressor blades are obtained, and then the erosion damage distribution and erosion damage degree of each type of target sand and dust on each blade in each row of blades in each stage are obtained.

[0009] Step S3: For each type of target sand and dust, superimpose the erosion damage distribution and erosion damage degree of each blade in the same row onto a single reference blade in the same row to obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on the blade in the same row, and then obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each row of blades.

[0010] Step S4: Increase the number of injected particles for each type of target sand and dust by integer multiples to obtain different doubling particle numbers, and repeat steps S2 and S3 to obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each row of blades under different doubling particle numbers.

[0011] When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. The number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the erosion damage degree of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust is obtained as a direct proportionality between the number of small sample sand and dust.

[0012] Step S5: Obtain the target sample sand quantity based on the number of small sample sand quantities corresponding to each target sand quantity; based on the positive proportionality between the degree of erosion damage to each row of blades by each target sand quantity and the number of small sample sand quantities, obtain the positive proportionality between the degree of erosion damage to each row of blades by sand of the same particle size and the number of target sample sand quantities.

[0013] Step S6: Based on the sand and dust concentration of different particle sizes and the engine operating status, obtain the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times. Based on the positive proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the amount of sand and dust in the target sample, obtain the distribution and degree of erosion damage of sand and dust of different particle sizes to each row of blades corresponding to different sand ingestion times.

[0014] Further, in step S2, the erosion damage distribution and degree of each type of target dust on each stage of the compressor blades are obtained based on the compressor convergent flow field, the initial velocity and entry position of each type of target dust, and thus the erosion damage distribution and degree of each type of target dust on each blade in each row of blades in each stage are obtained, including:

[0015] The Lagrange method was used to track each type of target dust, and the trajectory of each type of target dust in the compressor convergent flow field was calculated to obtain the corresponding trajectory of each type of target dust.

[0016] Based on the initial velocity and entry position of each type of target dust, the impact velocity, impact angle and erosion damage model of each type of target dust on the surface of each stage of the compressor blades are determined according to the motion trajectory of each type of target dust. The erosion damage distribution and erosion damage degree of each type of target dust on each stage of the compressor blades are obtained, and then the erosion damage distribution and erosion damage degree of each type of target dust on each blade in each row of blades in each stage are obtained.

[0017] Further, in step S3, the step of superimposing the erosion damage distribution and erosion damage degree of each target sand / dust on each blade in the same row onto a single reference blade in the same row to obtain the erosion damage distribution and erosion damage degree of each target sand / dust on the blades in the same row, includes:

[0018] Obtain the three-dimensional surface coordinates of each blade in the same row of blades;

[0019] Based on the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row are mapped to a single reference blade in the same row, thus obtaining the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row.

[0020] Furthermore, based on the surface three-dimensional coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row are mapped to a single reference blade in the same row, to obtain the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row, including:

[0021] Based on the geometric circumferential periodicity of each row of compressor blades and the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row are mapped onto the surface of a single reference blade in the same row. The erosion damage distribution and degree of each blade in the same row are then summed to obtain the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row.

[0022] Further, in step S4, the number of injected particles for each type of target sand and dust is increased by an integer multiple to obtain different doubling particle numbers, and steps S2 and S3 are repeated to obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each row of blades under different doubling particle numbers.

[0023] Specifically, when the erosion damage distribution pattern tends to stabilize and the degree of erosion damage is directly proportional to the number of doubled particles, the increase in the number of injected particles is stopped. This doubled particle number is the number of small sample sand particles. Based on this, the number of small sample sand particles corresponding to each type of target sand particle is obtained, and then the direct proportionality between the degree of erosion damage of each target sand particle to each row of blades under its corresponding number of small sample sand particles and the number of small sample sand particles is obtained, including:

[0024] For each type of target sand and dust, the number of injected particles is increased in integer multiples, and after each integer multiple increase, the corresponding number of particles is doubled.

[0025] Repeat steps S2 and S3 to obtain the erosion damage distribution and degree of erosion damage to each row of blades for each type of target sand and dust under the corresponding doubled particle number.

[0026] The three-dimensional coordinates of the surface of each row of blades and their corresponding erosion damage distribution and degree of erosion damage are extracted. When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. This number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the proportional relationship between the degree of erosion damage of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust and the number of small sample sand and dust is obtained.

[0027] Furthermore, the erosion damage distribution pattern tends to stabilize, including:

[0028] When the difference in erosion damage at the same grid position on the surface of each row of blades under different doubling of particle counts is less than 5%, the erosion damage distribution pattern is considered to be stable.

[0029] Furthermore, the degree of erosion damage is directly proportional to the number of doubled particles, including:

[0030] The erosion damage degree of each row of blades under different doubling particle numbers for each type of target sand and dust was linearly fitted to obtain the fitted straight line;

[0031] When the coefficient of determination of the fitted straight line is greater than 0.99, it is considered that the degree of erosion damage is directly proportional to the number of doubled particles.

[0032] Further, in step S5, the quantity of target sample sand and dust is obtained based on the quantity of small sample sand and dust corresponding to each type of target sand and dust; based on the proportional relationship between the degree of erosion damage to each row of blades by each type of target sand and dust at its corresponding quantity of small sample sand and dust and the quantity of small sample sand and dust, the proportional relationship between the degree of erosion damage to each row of blades by sand and dust of the same particle size and the quantity of target sample sand and dust is obtained, including:

[0033] The average number of small sample sand and dust corresponding to each type of target sand and dust is calculated to obtain the target sample sand and dust quantity;

[0034] The erosion damage degree of each row of blades for each type of target sand and dust was calculated by averaging the proportional relationship between the number of small sample sand and dust particles and the number of target sample sand and dust particles, thus obtaining the proportional relationship between the erosion damage degree of sand and dust particles of the same size on each row of blades and the number of target sample sand and dust particles.

[0035] Further, in step S6, obtaining the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times based on sand and dust concentrations of different particle sizes and engine operating status includes:

[0036] Based on the concentration of sand and dust of different particle sizes and the engine's operating air intake flow rate, and combined with the proportion of sand and dust concentration of different particle sizes for various target sand and dust, the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times is obtained.

[0037] The present invention also provides a system for performing the above-described rapid prediction method for sand and dust erosion damage in aero-engine compressors, comprising:

[0038] The multi-target sand and dust setting module is used to select multiple sand and dust particles with different morphologies as multiple target sand and dust particles within the same particle size, and to set the initial velocity, entry position, and number of injected particles for each target sand and dust particle at the compressor inlet.

[0039] The module for obtaining the erosion damage distribution and degree of erosion damage to each blade on each row of blades by target sand and dust is used to obtain the erosion damage distribution and degree of erosion damage to each stage of the compressor blades by each target sand and dust based on the compressor convergent flow field, the initial velocity and entry position of each type of target sand and dust, and then obtain the erosion damage distribution and degree of erosion damage to each blade on each row of blades in each stage of blades by each target sand and dust.

[0040] The module for obtaining the erosion damage distribution and degree of erosion damage to each row of blades by target sand and dust is used to superimpose the erosion damage distribution and degree of erosion damage to each blade in the same row of blades for each type of target sand and dust onto a single reference blade in the same row of blades to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to the blades in the same row, and thus obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to each row of blades.

[0041] The module for obtaining the direct proportional relationship between the degree of erosion damage of target sand and dust on each row of blades and the number of small sample sand and dust particles is used to increase the number of injected particles of each type of target sand and dust by integer multiples to obtain different doubling particle numbers. The module for obtaining the distribution and degree of erosion damage of target sand and dust on each blade of each row of blades and the module for obtaining the distribution and degree of erosion damage of each type of target sand and dust on each row of blades are repeated to obtain the distribution and degree of erosion damage of each type of target sand and dust on each row of blades under different doubling particle numbers.

[0042] When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. The number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the erosion damage degree of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust is obtained as a direct proportionality between the number of small sample sand and dust.

[0043] The module for obtaining the proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the number of sand and dust in the target sample is used to obtain the number of sand and dust in the target sample based on the number of small sample sand and dust corresponding to each type of target sand and dust; and based on the proportional relationship between the degree of erosion damage of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust and the number of small sample sand and dust, the module obtains the proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the number of sand and dust in the target sample.

[0044] The module for obtaining the erosion damage distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes is used to obtain the total amount of sand and dust of different particle sizes entering the engine for different sand ingestion times based on the sand and dust concentration of different particle sizes and the engine operating state. Based on the positive proportional relationship between the degree of erosion damage to each row of blades by sand and dust of the same particle size and the amount of sand and dust in the target sample, the module obtains the erosion damage distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes for different sand ingestion times.

[0045] Beneficial Effects: This invention is an improved invention. By selecting various sand and dust with different morphologies as multiple target sand and dust, the erosion damage distribution and degree of each target sand and dust on each blade in the same row are superimposed onto a single reference blade in the same row, thereby accelerating the calculation of blade erosion damage distribution. At the same time, based on the law of blade erosion damage distribution and degree of erosion damage changing with the amount of sand and dust, this invention determines the number of small sample sand and dust corresponding to each target sand and dust, and establishes a positive proportional relationship between the degree of erosion damage of each target sand and dust on each row of blades under its corresponding small sample sand and dust number and the number of small sample sand and dust. Thus, a positive proportional relationship is obtained between the degree of erosion damage of sand and dust of the same particle size on each row of blades and the number of target sample sand and dust. Based on this positive proportional relationship, rapid prediction of erosion damage of sand and dust of different particle sizes on each row of blades under different sand ingestion times can be achieved. In summary, the rapid prediction method for sand and dust erosion damage of aero-engine compressors of the present invention breaks through the traditional model of calculating all sand and dust particles within the entire sand ingestion time in blade erosion damage simulation. It effectively solves the problem of low computational efficiency caused by the huge total amount of sand and dust particles in traditional sand ingestion simulation, realizes rapid prediction of compressor sand and dust erosion blade simulation, and avoids the problems of long calculation time, large consumption of computing resources, and low efficiency of traditional sand ingestion simulation methods. Attached Figure Description

[0046] Figure 1 This is a flowchart illustrating the rapid prediction method for sand and dust erosion damage to aero-engine compressors according to the present invention.

[0047] Figure 2 This is a schematic diagram of the geometric structure of the entire stage and ring of the compressor in the rapid prediction method for sand and dust erosion damage of the aero-engine compressor of the present invention;

[0048] Figure 3 This is a schematic diagram of the erosion damage distribution of each moving blade of the compressor under different doubling particle counts in the rapid prediction method of sand and dust erosion damage of the aero-engine compressor of the present invention. Among them, (a) doubling particle count 2500, (b) doubling particle count 5000, (c) doubling particle count 7500, (d) doubling particle count 10000.

[0049] Figure 4 This is a schematic diagram illustrating the changes in the degree of erosion damage to each moving blade under different doubling particle counts in the rapid prediction method for sand and dust erosion damage to aero-engine compressors of the present invention.

[0050] Figure 5 This is a schematic diagram illustrating the changes in compressor blade damage degree under different sand ingestion durations in the rapid prediction method for sand and dust erosion damage of aero-engine compressors according to the present invention. Detailed Implementation

[0051] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0052] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0053] The following describes a method and system for rapid prediction of sand and dust erosion damage to aero-engine compressors, based on embodiments of this application, with reference to the accompanying drawings.

[0054] The following is combined Figure 1 This application provides a detailed description of the rapid prediction method for sand and dust erosion damage to aero-engine compressors.

[0055] Step S1: For sand and dust of different particle sizes, select multiple sand and dust particles with different morphologies from the same particle size as multiple target sand and dust particles, and set the initial velocity, entry position, and number of injected particles for each target sand and dust particle at the compressor inlet. Here, the initial velocity and entry position of the target sand and dust particles serve as boundary conditions for calculating the erosion damage distribution of each stage of the compressor blades.

[0056] In this embodiment, a 3.5-stage axial flow compressor is used as an example, but this is not a limitation. In actual applications, appropriate components to be simulated should be selected according to the actual situation. For example, such as Figure 2 As shown, the compressor has 3.5 stages. Each of the three stages consists of stationary blade rows and moving blade rows. Specifically, the first stage consists of stationary blade rows (S1) and moving blade rows (R1), the second stage consists of stationary blade rows (S2) and moving blade rows (R2), and the third stage consists of stationary blade rows (S3) and moving blade rows (R3). The 0.5 stage is an inlet guide vane (IGV).

[0057] Specifically, in the aforementioned 3.5-stage axial compressor, the sand ingestion test included sand and dust with different particle size ranges and proportions. Within the sand and dust particle size range of the studied operating conditions, a median particle size was selected, and three different morphologies of target sand and dust were set. Calculations were performed for each type of target sand and dust. For each target sand and dust, the initial velocity, entry position, and number of injected particles were set at the compressor inlet face. Here, since an increase in the number of sand and dust particles would lead to an increase in sand and dust concentration, which is inconsistent with the sparse distribution of sand and dust during the actual sand ingestion process, the collision between sand and dust particles was ignored, and only the impact between sand and dust particles and the blade surface was considered to ensure consistency with the actual physical process; at the same time, the time step for calculating the sand and dust trajectory was reasonably set.

[0058] Step S2: Based on the compressor convergent flow field, the initial velocity and entry position of each type of target sand and dust, obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each stage of the compressor blades, and then obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each blade in each row of blades in each stage.

[0059] Specifically, based on the compressor's convergent flow field, the initial velocity and entry position of each type of target dust, the erosion damage distribution and degree of each type of target dust on each stage of the compressor blades are obtained. Furthermore, the erosion damage distribution and degree of each type of target dust on each blade in each row of blades within each stage are obtained, including:

[0060] The Lagrange method was used to track each type of target dust, and the trajectory of each type of target dust in the compressor convergent flow field was calculated to obtain the corresponding trajectory of each type of target dust.

[0061] Based on the initial velocity and entry position of each type of target dust, the impact velocity, impact angle and erosion damage model of each type of target dust on the surface of each stage of the compressor blades are determined according to the motion trajectory of each type of target dust. The erosion damage distribution and erosion damage degree of each type of target dust on each stage of the compressor blades are obtained, and then the erosion damage distribution and erosion damage degree of each type of target dust on each blade in each row of blades in each stage are obtained.

[0062] In one specific implementation, the Lagrange method is used to track each type of target dust, calculate the trajectory of each type of target dust within the compressor's convergent flow field, and obtain the corresponding trajectory for each type of target dust. Based on the trajectory of each type of target dust, the impact point positions on the surfaces of each stage of the blades are extracted, and the stored velocity corresponding to the impact point position is read as the impact velocity. The impact angle is calculated based on the impact velocity direction and the relationship between the blade normal vector at the impact point. Using the impact velocity, impact angle, and erosion wear model, the degree of erosion damage at the impact point is calculated, obtaining the erosion damage distribution and degree of each type of target dust on each stage of the compressor blades, and further obtaining the erosion damage distribution and degree of each type of target dust on each blade in each row of blades within each stage of the blades. The erosion wear model is selected from the Finney erosion model, the McLaurin erosion model, or the Oka erosion model. In this embodiment, the erosion wear model is the Finney erosion model.

[0063] In this embodiment, the compressor convergent flow field is obtained by performing unsteady calculations of the entire annular airflow field of the compressor stage until the flow field converges. Specifically, performing unsteady calculations of the entire annular airflow field of the compressor stage until the flow field converges includes: performing model mesh generation, model parameter setting, and operating speed setting for the studied operating point; simulating the time step according to the operating speed; and using unsteady methods to perform unsteady calculations of the entire annular airflow field of the compressor stage until the flow field converges, thus obtaining the compressor convergent flow field. Figure 2 As shown.

[0064] Step S3: For each type of target sand and dust, superimpose the erosion damage distribution and degree of erosion damage on each blade in the same row onto a single reference blade in the same row to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust on the blade in the same row, and then obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust on each row of blades.

[0065] Specifically, for each type of target sand and dust, the erosion damage distribution and degree of erosion damage to each blade in the same row are superimposed onto a single reference blade in the same row to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to the blades in the same row, including:

[0066] Obtain the three-dimensional surface coordinates of each blade in the same row of blades;

[0067] Based on the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row are mapped to a single reference blade in the same row, thus obtaining the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row.

[0068] Specifically, based on the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand / dust on each blade in the same row are mapped to a single reference blade in the same row, resulting in the erosion damage distribution and degree of each type of target sand / dust on the blade in the same row, including:

[0069] Based on the geometric circumferential periodicity of each row of compressor blades and the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand / dust on each blade in the same row are mapped onto the surface of a single reference blade in the same row. The erosion damage distribution and degree of each blade in the same row are then summed to obtain the erosion damage distribution and degree of each type of target sand / dust on that blade in the same row. Here, the geometric circumferential periodicity of each row of compressor blades refers to the circumferential phase angle of each row of compressor blades.

[0070] Step S4: Increase the number of injected particles for each type of target sand and dust by integer multiples to obtain different doubling particle numbers, and repeat steps S2 and S3 to obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each row of blades under different doubling particle numbers.

[0071] When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. The number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the erosion damage degree of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust is obtained as a direct proportionality between the number of small sample sand and dust.

[0072] Specifically, the number of injected particles for each type of target sand and dust is increased in integer multiples to obtain different doubling particle numbers. Steps S2 and S3 are repeated to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust on each row of blades under different doubling particle numbers.

[0073] Specifically, when the erosion damage distribution pattern tends to stabilize and the degree of erosion damage is directly proportional to the number of doubled particles, the increase in the number of injected particles is stopped. This doubled particle number is the number of small sample sand particles. Based on this, the number of small sample sand particles corresponding to each type of target sand particle is obtained, and then the direct proportionality between the degree of erosion damage of each target sand particle to each row of blades under its corresponding number of small sample sand particles and the number of small sample sand particles is obtained, including:

[0074] For each type of target sand and dust, the number of injected particles is increased in integer multiples, and after each integer multiple increase, the corresponding number of particles is doubled.

[0075] Repeat steps S2 and S3 to obtain the erosion damage distribution and degree of erosion damage to each row of blades for each type of target sand and dust under the corresponding doubled particle number.

[0076] The three-dimensional coordinates of the surface of each row of blades and their corresponding erosion damage distribution and degree of erosion damage are extracted. When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. This number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the proportional relationship between the degree of erosion damage of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust and the number of small sample sand and dust is obtained.

[0077] The erosion damage distribution pattern tends to be stable, including when the difference in erosion damage degree between the same grid position on the surface of each row of blades under different doubling particle numbers is less than 5%, the erosion damage distribution pattern is considered to be stable. The degree of erosion damage is directly proportional to the doubling particle number, including: linearly fitting the erosion damage degree of each row of blades for each type of target sand and dust under different doubling particle numbers to obtain a fitted straight line; when the determination coefficient of the fitted straight line is greater than 0.99, the degree of erosion damage is considered to be directly proportional to the doubling particle number.

[0078] In one specific implementation, taking a certain type of 3.5-stage axial flow compressor in step S1 as an example, such as... Figure 3 As shown, a target sand dust was selected, and the number of injected particles of this target sand dust was successively doubled, resulting in doubling particle numbers of 2500, 5000, 7500, and 10000. Steps S2 and S3 were repeated to obtain the erosion damage distribution of each rotor blade of the compressor. When the difference in erosion damage degree between the same grid position on the surface of each rotor blade under different doubling particle numbers is less than 5%, the erosion damage distribution pattern is considered to be stable. A linear fit was performed on the erosion damage degree of each rotor blade and the corresponding doubling particle number for the above-mentioned target sand dust under different doubling particle numbers, as shown... Figure 4 As shown, when the coefficient of determination (R²) of the fitted straight line is greater than 0.99, the degree of erosion damage is directly proportional to the number of doubled particles. This indicates that the number of doubled particles at this point can reflect the erosion damage distribution of each moving blade, and the iterative calculation can be terminated.

[0079] Step S5: Obtain the target sample sand quantity based on the number of small sample sand quantities corresponding to each target sand quantity; based on the positive proportionality between the degree of erosion damage to each row of blades by each target sand quantity and the number of small sample sand quantities, obtain the positive proportionality between the degree of erosion damage to each row of blades by sand of the same particle size and the number of target sample sand quantities.

[0080] Specifically, the target sample dust quantity is obtained based on the quantity of small sample dust corresponding to each target dust type; based on the proportional relationship between the degree of erosion damage to each row of blades by each target dust type at its corresponding small sample dust quantity and the quantity of small sample dust, the proportional relationship between the degree of erosion damage to each row of blades by dust of the same particle size and the quantity of target sample dust is obtained, including:

[0081] The number of small sample sand dust corresponding to each type of target sand dust is averaged to obtain the number of target sample sand dust. The proportional relationship between the degree of erosion damage of each row of blades to the number of small sample sand dust under the corresponding number of target sand dust is averaged to obtain the proportional relationship between the degree of erosion damage of sand dust of the same particle size to each row of blades and the number of target sample sand dust.

[0082] Step S6: Based on the sand and dust concentrations of different particle sizes and the engine operating state, obtain the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times. Based on the direct proportionality between the degree of erosion damage to each row of blades by sand and dust of the same particle size and the amount of sand and dust in the target sample, obtain the distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes corresponding to different sand ingestion times. Figure 5 As shown.

[0083] Among them, based on the sand and dust concentration of different particle sizes and the engine operating status, the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times is obtained, including: based on the sand and dust concentration of different particle sizes and the engine operating air intake flow rate, combined with the proportion of sand and dust concentration of various target sand and dust of different particle sizes, the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times is obtained.

[0084] This application also provides a system for performing the above-described rapid prediction method for sand and dust erosion damage in aero-engine compressors, comprising:

[0085] The multi-target sand and dust setting module is used to select multiple sand and dust particles with different morphologies as multiple target sand and dust particles within the same particle size, and to set the initial velocity, entry position, and number of injected particles for each target sand and dust particle at the compressor inlet.

[0086] The module for obtaining the erosion damage distribution and degree of erosion damage to each blade on each row of blades by target sand and dust is used to obtain the erosion damage distribution and degree of erosion damage to each stage of the compressor blades by each target sand and dust based on the compressor convergent flow field, the initial velocity and entry position of each type of target sand and dust, and then obtain the erosion damage distribution and degree of erosion damage to each blade on each row of blades in each stage of blades by each target sand and dust.

[0087] The module for obtaining the erosion damage distribution and degree of erosion damage to each row of blades by target sand and dust is used to superimpose the erosion damage distribution and degree of erosion damage to each blade in the same row of blades for each type of target sand and dust onto a single reference blade in the same row of blades to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to the blades in the same row, and thus obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to each row of blades.

[0088] The module for obtaining the direct proportional relationship between the degree of erosion damage of target sand and dust on each row of blades and the number of small sample sand and dust particles is used to increase the number of injected particles of each type of target sand and dust by integer multiples to obtain different doubling particle numbers. The module for obtaining the distribution and degree of erosion damage of target sand and dust on each blade of each row of blades and the module for obtaining the distribution and degree of erosion damage of each type of target sand and dust on each row of blades are repeated to obtain the distribution and degree of erosion damage of each type of target sand and dust on each row of blades under different doubling particle numbers.

[0089] When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. The number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the erosion damage degree of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust is obtained as a direct proportionality between the number of small sample sand and dust.

[0090] The module for obtaining the proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the number of sand and dust in the target sample is used to obtain the number of sand and dust in the target sample based on the number of small sample sand and dust corresponding to each type of target sand and dust; and based on the proportional relationship between the degree of erosion damage of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust and the number of small sample sand and dust, the module obtains the proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the number of sand and dust in the target sample.

[0091] The module for obtaining the erosion damage distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes is used to obtain the total amount of sand and dust of different particle sizes entering the engine for different sand ingestion times based on the sand and dust concentration of different particle sizes and the engine operating state. Based on the positive proportional relationship between the degree of erosion damage to each row of blades by sand and dust of the same particle size and the amount of sand and dust in the target sample, the module obtains the erosion damage distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes for different sand ingestion times.

[0092] Here, those skilled in the art will understand that the specific method of the above-mentioned rapid prediction system for sand and dust erosion damage of aero-engine compressors has been referenced above. Figures 1 to 5 The rapid prediction method for sand and dust erosion damage to aero-engine compressors has been described in detail, so its repeated description will be omitted.

[0093] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. The scope of patent protection of the present invention shall be determined by the claims. Similarly, any equivalent structural changes made based on the description and drawings of the present invention shall also be included within the scope of protection of the present invention.

Claims

1. A method for rapid prediction of sand and dust erosion damage in aero-engine compressors, characterized in that, Includes the following steps: Step S1: For sand and dust of different particle sizes, select multiple sand and dust particles with different morphologies as multiple target sand and dust particles of the same particle size, and set the initial velocity, entry position and number of injected particles for each target sand and dust particle at the compressor inlet. Step S2: Based on the compressor convergent flow field, the initial velocity and entry position of each type of target sand and dust, the erosion damage distribution and erosion damage degree of each type of target sand and dust on each stage of the compressor blades are obtained, and then the erosion damage distribution and erosion damage degree of each type of target sand and dust on each blade in each row of blades in each stage are obtained. Step S3: For each type of target sand and dust, superimpose the erosion damage distribution and erosion damage degree of each blade in the same row onto a single reference blade in the same row to obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on the blade in the same row, and then obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each row of blades. Step S4: Increase the number of injected particles for each type of target sand and dust by integer multiples to obtain different doubling particle numbers, and repeat steps S2 and S3 to obtain the erosion damage distribution and erosion damage degree of each type of target sand and dust on each row of blades under different doubling particle numbers. When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. The number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the erosion damage degree of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust is obtained as a direct proportionality between the number of small sample sand and dust. Step S5: Obtain the target sample sand quantity based on the number of small sample sand quantities corresponding to each target sand quantity; based on the positive proportionality between the degree of erosion damage to each row of blades by each target sand quantity and the number of small sample sand quantities, obtain the positive proportionality between the degree of erosion damage to each row of blades by sand of the same particle size and the number of target sample sand quantities. Step S6: Based on the sand and dust concentration of different particle sizes and the engine operating status, obtain the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times. Based on the positive proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the amount of sand and dust in the target sample, obtain the distribution and degree of erosion damage of sand and dust of different particle sizes to each row of blades corresponding to different sand ingestion times.

2. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 1, characterized in that, In step S2, based on the compressor convergent flow field, the initial velocity and entry position of each type of target dust, the erosion damage distribution and degree of each type of target dust on each stage of the compressor blades are obtained, and then the erosion damage distribution and degree of each type of target dust on each blade in each row of blades in each stage are obtained, including: The Lagrange method was used to track each type of target dust, and the trajectory of each type of target dust in the compressor convergent flow field was calculated to obtain the corresponding trajectory of each type of target dust. Based on the initial velocity and entry position of each type of target dust, the impact velocity, impact angle and erosion damage model of each type of target dust on the surface of each stage of the compressor blades are determined according to the motion trajectory of each type of target dust. The erosion damage distribution and erosion damage degree of each type of target dust on each stage of the compressor blades are obtained, and then the erosion damage distribution and erosion damage degree of each type of target dust on each blade in each row of blades in each stage are obtained.

3. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 1, characterized in that, In step S3, for each type of target sand and dust, the erosion damage distribution and degree of erosion damage on each blade in the same row are superimposed onto a single reference blade in the same row to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust on the blades in the same row, including: Obtain the three-dimensional surface coordinates of each blade in the same row of blades; Based on the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row are mapped to a single reference blade in the same row, thus obtaining the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row.

4. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 3, characterized in that, The method involves mapping the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row to a single reference blade in the same row, based on the surface three-dimensional coordinates of each blade in the same row. This yields the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row, including: Based on the geometric circumferential periodicity of each row of compressor blades and the three-dimensional surface coordinates of each blade in the same row, the erosion damage distribution and degree of each type of target sand and dust on each blade in the same row are mapped onto the surface of a single reference blade in the same row. The erosion damage distribution and degree of each blade in the same row are then summed to obtain the erosion damage distribution and degree of each type of target sand and dust on the blade in the same row.

5. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 1, characterized in that, In step S4, the number of injected particles for each type of target sand and dust is increased by an integer multiple to obtain different doubling particle numbers. Steps S2 and S3 are repeated to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust on each row of blades under different doubling particle numbers. Specifically, when the erosion damage distribution pattern tends to stabilize and the degree of erosion damage is directly proportional to the number of doubled particles, the increase in the number of injected particles is stopped. This doubled particle number is the number of small sample sand particles. Based on this, the number of small sample sand particles corresponding to each type of target sand particle is obtained, and then the direct proportionality between the degree of erosion damage of each target sand particle to each row of blades under its corresponding number of small sample sand particles and the number of small sample sand particles is obtained, including: For each type of target sand and dust, the number of injected particles is increased in integer multiples, and after each integer multiple increase, the corresponding number of particles is doubled. Repeat steps S2 and S3 to obtain the erosion damage distribution and degree of erosion damage to each row of blades for each type of target sand and dust under the corresponding doubled particle number. The three-dimensional coordinates of the surface of each row of blades and their corresponding erosion damage distribution and degree of erosion damage are extracted. When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. This number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the proportional relationship between the degree of erosion damage of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust and the number of small sample sand and dust is obtained.

6. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 5, characterized in that, The erosion damage distribution pattern tends to stabilize, including: When the difference in erosion damage at the same grid position on the surface of each row of blades under different doubling of particle counts is less than 5%, the erosion damage distribution pattern is considered to be stable.

7. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 5, characterized in that, The degree of erosion damage is directly proportional to the number of particles that have doubled, including: The erosion damage degree of each row of blades under different doubling particle numbers for each type of target sand and dust was linearly fitted to obtain the fitted straight line; When the coefficient of determination of the fitted straight line is greater than 0.99, it is considered that the degree of erosion damage is directly proportional to the number of doubled particles.

8. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 1, characterized in that, In step S5, the number of target sample sand and dust particles is obtained based on the number of small sample sand and dust particles corresponding to each type of target sand and dust particle; based on the proportional relationship between the degree of erosion damage to each row of blades by each type of target sand and dust particle and the number of small sample sand and dust particles under its corresponding small sample sand and dust particle, the proportional relationship between the degree of erosion damage to each row of blades by sand and dust particles of the same particle size and the number of target sample sand and dust particles is obtained, including: The average number of small sample sand and dust corresponding to each type of target sand and dust is calculated to obtain the target sample sand and dust quantity; The erosion damage degree of each row of blades for each type of target sand and dust was calculated by averaging the proportional relationship between the number of small sample sand and dust particles and the number of target sample sand and dust particles, thus obtaining the proportional relationship between the erosion damage degree of sand and dust particles of the same size on each row of blades and the number of target sample sand and dust particles.

9. The rapid prediction method for sand and dust erosion damage to aero-engine compressors according to claim 1, characterized in that, In step S6, the process of obtaining the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times, based on the sand and dust concentrations of different particle sizes and the engine operating state, includes: Based on the concentration of sand and dust of different particle sizes and the engine's operating air intake flow rate, and combined with the proportion of sand and dust concentration of different particle sizes for various target sand and dust, the total amount of sand and dust of different particle sizes entering the engine corresponding to different sand ingestion times is obtained.

10. A system for performing the rapid prediction method for sand and dust erosion damage of an aero-engine compressor as described in any one of claims 1-9, characterized in that, include: The multi-target sand and dust setting module is used to select multiple sand and dust particles with different morphologies as multiple target sand and dust particles within the same particle size, and to set the initial velocity, entry position, and number of injected particles for each target sand and dust particle at the compressor inlet. The module for obtaining the erosion damage distribution and degree of erosion damage to each blade on each row of blades by target sand and dust is used to obtain the erosion damage distribution and degree of erosion damage to each stage of the compressor blades by each target sand and dust based on the compressor convergent flow field, the initial velocity and entry position of each type of target sand and dust, and then obtain the erosion damage distribution and degree of erosion damage to each blade on each row of blades in each stage of blades by each target sand and dust. The module for obtaining the erosion damage distribution and degree of erosion damage to each row of blades by target sand and dust is used to superimpose the erosion damage distribution and degree of erosion damage to each blade in the same row of blades for each type of target sand and dust onto a single reference blade in the same row of blades to obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to the blades in the same row, and thus obtain the erosion damage distribution and degree of erosion damage of each type of target sand and dust to each row of blades. The module for obtaining the direct proportional relationship between the degree of erosion damage of target sand and dust on each row of blades and the number of small sample sand and dust particles is used to increase the number of injected particles of each type of target sand and dust by integer multiples to obtain different doubling particle numbers. The module for obtaining the distribution and degree of erosion damage of target sand and dust on each blade of each row of blades and the module for obtaining the distribution and degree of erosion damage of each type of target sand and dust on each row of blades are repeated to obtain the distribution and degree of erosion damage of each type of target sand and dust on each row of blades under different doubling particle numbers. When the erosion damage distribution pattern tends to be stable and the degree of erosion damage is proportional to the number of doubled particles, the number of injected particles is stopped. The number of doubled particles is the number of small sample sand and dust. Based on this, the number of small sample sand and dust corresponding to each type of target sand and dust is obtained, and then the erosion damage degree of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust is obtained as a direct proportionality between the number of small sample sand and dust. The module for obtaining the proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the number of sand and dust in the target sample is used to obtain the number of sand and dust in the target sample based on the number of small sample sand and dust corresponding to each type of target sand and dust; and based on the proportional relationship between the degree of erosion damage of each type of target sand and dust to each row of blades under its corresponding number of small sample sand and dust and the number of small sample sand and dust, the module obtains the proportional relationship between the degree of erosion damage of sand and dust of the same particle size to each row of blades and the number of sand and dust in the target sample. The module for obtaining the erosion damage distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes is used to obtain the total amount of sand and dust of different particle sizes entering the engine for different sand ingestion times based on the sand and dust concentration of different particle sizes and the engine operating state. Based on the positive proportional relationship between the degree of erosion damage to each row of blades by sand and dust of the same particle size and the amount of sand and dust in the target sample, the module obtains the erosion damage distribution and degree of erosion damage to each row of blades by sand and dust of different particle sizes for different sand ingestion times.

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