Turbine performance testing method, system and equipment and storage medium
By conducting unidirectional flow-solid coupling analysis in the turbine model and combining the actual engine operating condition data, the complex effect problem in the prior art is solved that it is difficult to fully reflect the combined effect of turbine blades under the combined action of multiple loads, and the accurate prediction of turbine stress and strain distribution is achieved, improving the accuracy of performance and reliability evaluation.
Patent Information
- Application Number
- CN202510024130.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-07
- Publication Date
- 2025-05-09
AI Technical Summary
The prior art is difficult to fully reflect the complex effects of turbine blades under the combined effect of multiple loads (centrifugal force, thermal load, aerodynamic) in practical applications, resulting in insufficient accuracy in structural performance prediction.
By combining the actual engine operating condition data, one-way flow-solid coupling analysis is carried out, and factors such as speed, temperature and pressure of the turbine under different operating conditions are comprehensively considered to predict the stress and strain distribution of the turbine.
Accurate prediction of the stress and strain distribution of the turbine under actual operating conditions is achieved, the performance and reliability of the turbine are evaluated, and the accuracy of structural performance prediction is improved.
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Figure CN119958869A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of engine technology, and in particular to a turbine performance testing method, system, equipment and storage medium. Background Art
[0002] In modern engineering fields, especially in aerospace, mechanical manufacturing and structural engineering, centrifugal force, aerodynamic force and thermal load are key factors affecting structural performance and stability.
[0003] Currently, these factors are evaluated individually, but this evaluation method may not fully reflect their combined effects in actual applications. Because in actual engineering applications, these loads are often interrelated and influential, and they act together on the structure to produce complex coupling effects. For example, in the design of aircraft engine turbine blades, the blades must not only withstand thermal stress caused by high temperature, but also withstand centrifugal force generated by high-speed rotation and the influence of aerodynamic forces. Evaluating these loads individually cannot fully capture the interactions and combined effects between them, which may lead to inaccurate predictions of structural performance. Summary of the invention
[0004] The main purpose of the present invention is to provide a turbine performance testing method, system, equipment and storage medium, which comprehensively considers factors such as the speed, temperature and pressure of the turbine under different operating conditions, and accurately predicts the stress and strain distribution of the turbine under actual working conditions through one-way fluid-solid coupling analysis, thereby evaluating the performance and reliability of the turbine.
[0005] In order to achieve the above objectives, the embodiments of the present application provide the following technical solutions:
[0006] According to a first aspect of an embodiment of the present application, a turbine performance testing method is provided, the method comprising:
[0007] Based on the turbine model and the engine model, combined with the actual engine operating data, the turbine speed, temperature field data and pressure field data of the turbine under several operating conditions are obtained;
[0008] Loading the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model;
[0009] Based on the target turbine speed, target temperature field data and target pressure field data, the target turbine model is loaded and a one-way fluid-solid coupling analysis is performed to obtain the stress and strain results of the turbine under the combined action of several loads;
[0010] The stress and strain results of the turbine under the combined action of several loads are analyzed to obtain the turbine performance test results.
[0011] Optionally, based on the turbine model and the engine model, combined with the actual engine operating condition data, the turbine speed, temperature field data and pressure field data of the turbine under several operating conditions are obtained, including:
[0012] Inputting actual engine operating condition data into the engine model to simulate the operating state of the engine under several operating conditions to obtain turbine speeds under several operating conditions;
[0013] The turbine speed under the several working conditions, the turbine inlet temperature value and the pressure value under the corresponding working conditions are input into the fluid domain grid, and fluid dynamics calculation is performed to obtain the temperature field data and pressure field data of the turbine when working under the several working conditions.
[0014] Optionally, the step of loading the turbine speed, temperature field data and pressure field data when the turbine is operating under the plurality of operating conditions into the turbine model to obtain a target turbine model comprises:
[0015] Meshing the turbine model, configuring material properties and setting solver parameters to obtain a meshed turbine model;
[0016] Loading turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions onto the divided turbine model;
[0017] A one-way fluid-solid coupling analysis is performed based on the loaded divided turbine model to obtain stress and strain results of the turbine under the combined action of centrifugal load, thermal load and aerodynamic load, and the model at this time is used as the target turbine model.
[0018] Optionally, the step of loading the turbine speed, temperature field data and pressure field data when the turbine is operating under the plurality of operating conditions onto the divided turbine model comprises:
[0019] The turbine speeds under several working conditions are defined as inertial forces, and loaded onto the divided turbine model to simulate stress and strain results under the centrifugal load;
[0020] Loading temperature field data under several working conditions as boundary conditions onto the partitioned turbine model to simulate stress and strain results under thermal load;
[0021] The pressure field data under several working conditions are loaded onto the partitioned turbine model as boundary conditions to simulate the stress and strain results under the action of aerodynamic loads.
[0022] Optionally, the centrifugal load, the thermal load and the aerodynamic load use a coupling relationship of thermal-fluid bidirectional coupling, thermal-structural unidirectional coupling and fluid-structural unidirectional coupling; wherein the thermal-fluid bidirectional coupling characterizes the mutual influence between the temperature field and the fluid field; the thermal-structural unidirectional coupling characterizes the influence of the temperature field on the structural field and the structural field has no feedback on the temperature field; the fluid-structure unidirectional coupling characterizes the influence of the fluid field on the structural field and the structural field has no feedback on the fluid field.
[0023] Optionally, analyzing the stress and strain results of the turbine under the combined action of several loads to obtain the turbine performance test results includes:
[0024] Based on the stress distribution characteristics, the stress and strain results of the turbine under the combined action of several loads are analyzed to identify the maximum stress area of the turbine, the fatigue failure risk of the turbine and the main controlling factors.
[0025] Optionally, the stress distribution characteristics include that at a set maximum speed, the maximum stress of the turbine under the combined action of several loads occurs at the intersection of the wheel back and the boss, and the maximum stress of the turbine blade occurs at the blade root.
[0026] According to a second aspect of an embodiment of the present application, a turbine performance testing system is provided, the system comprising:
[0027] A data module is used to obtain turbine speed, temperature field data and pressure field data when the turbine is working under several working conditions based on the turbine model and the engine model and in combination with the actual engine working condition data;
[0028] A turbine model module, used for loading the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model;
[0029] A stress-strain result module is used to load the target turbine speed, target temperature field data and target pressure field data into the target turbine model, and perform a one-way fluid-solid coupling analysis to obtain the stress and strain results of the turbine under the combined action of several loads;
[0030] The performance test module is used to analyze the stress and strain results of the turbine under the combined action of several loads to obtain the turbine performance test results.
[0031] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method described in the first aspect above.
[0032] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer-readable instructions are stored. The computer-readable instructions can be executed by a processor to implement the method described in the first aspect above.
[0033] In summary, the embodiment of the present application provides a method, system, device and storage medium for testing turbine performance. Based on the turbine model and the engine model, combined with the actual engine working condition data, the turbine speed, temperature field data and pressure field data of the turbine under several working conditions are obtained; the turbine speed, temperature field data and pressure field data of the turbine under the several working conditions are loaded into the turbine model to obtain the target turbine model; based on the target turbine speed, target temperature field data and target pressure field data, the target turbine model is loaded and a one-way fluid-solid coupling analysis is performed to obtain the stress and strain results of the turbine under the joint action of several loads; the stress and strain results of the turbine under the joint action of several loads are analyzed to obtain the turbine performance test results. Comprehensively considering factors such as the speed, temperature and pressure of the turbine under different working conditions, the one-way fluid-solid coupling analysis is used to accurately predict the stress and strain distribution of the turbine under actual working conditions, thereby evaluating the performance and reliability of the turbine. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.
[0035] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.
[0036] Figure 1 A schematic diagram of a turbine performance testing method provided in an embodiment of the present application;
[0037] Figure 2 A logic diagram for turbine stress and strain analysis provided in an embodiment of the present application;
[0038] Figure 3 A specific technical flow chart of turbine stress and strain analysis provided in the embodiment of the present application;
[0039] Figure 4A structural diagram of a turbine performance test system provided in an embodiment of the present application;
[0040] Figure 5 A structural diagram of an electronic device provided in an embodiment of the present application is shown;
[0041] Figure 6 A diagram showing a computer-readable storage medium provided by an embodiment of the present application.
[0042] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0044] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.
[0045] In addition, in the present invention, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0046] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0047] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.
[0048] Figure 1 A turbine performance testing method provided by an embodiment of the present application is shown, the method comprising:
[0049] Step 101: Based on the turbine model and the engine model, combined with the actual engine working condition data, the turbine speed, temperature field data and pressure field data of the turbine under several working conditions are obtained;
[0050] Step 102: loading the turbine speed, temperature field data and pressure field data of the turbine when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model;
[0051] Step 103: loading the target turbine speed, target temperature field data and target pressure field data into the target turbine model, and performing a one-way fluid-solid coupling analysis to obtain stress and strain results of the turbine under the combined action of several loads;
[0052] Step 104: Analyze the stress and strain results of the turbine under the combined action of several loads to obtain the turbine performance test results.
[0053] In a possible implementation, in step 101, based on the turbine model and the engine model, combined with the actual engine operating condition data, the turbine speed, temperature field data and pressure field data of the turbine under several operating conditions are obtained, including:
[0054] The actual operating condition data of the engine is input into the engine model to simulate the operating state of the engine under several operating conditions to obtain the turbine speed under several operating conditions; the turbine speed under the several operating conditions, the turbine inlet temperature value and the pressure value under the corresponding operating conditions are input into the fluid domain grid to perform fluid dynamics calculations to obtain the temperature field data and pressure field data when the turbine is working under several operating conditions.
[0055] The method provided in the embodiment of the present application can simulate and analyze the performance of the turbine under actual engine operating conditions. By combining the turbine model and the engine model, as well as the actual engine operating condition data, the method aims to obtain the speed, temperature and pressure data of the turbine under different operating conditions, and then accurately predict the stress and strain of the turbine under the combined action of multiple loads through one-way fluid-solid coupling analysis, and finally evaluate the performance and reliability of the turbine.
[0056] Suppose a new type of engine is being developed, one of the key components of which is the turbine. In order to ensure the performance and safety of the turbine during operation, its performance under different flight conditions needs to be tested and evaluated. First, a detailed model of the turbine and engine is constructed, and various operating conditions that may be encountered in actual flight are collected, such as different flight altitudes, speeds, and ambient temperatures. These actual operating condition data are input into the engine model to simulate the operating state of the engine under different flight conditions, thereby obtaining the speed of the turbine under these conditions. Next, these speed data, as well as the corresponding intake temperature and pressure values, are input into the fluid domain grid for fluid dynamics calculations to obtain the temperature field and pressure field data of the turbine under different operating conditions. The speed, temperature field, and pressure field data obtained above are loaded into the turbine model to construct a target turbine model that can reflect the working state of the turbine under actual working conditions. Using the target turbine model, and loading the speed, temperature field, and pressure field data into the model, a one-way fluid-solid coupling analysis is performed. This analysis can simulate the effects of multiple loads such as centrifugal force, thermal stress, and aerodynamic force on the turbine under actual working conditions, thereby predicting the stress and strain distribution of the turbine. Finally, these stress and strain results are analyzed to assess the performance and reliability of the turbine. For example, if the analysis results show that under a certain flight condition, an abnormally high stress concentration occurs in a certain part of the turbine, this may indicate a design problem that needs to be optimized.
[0057] This approach makes it possible to predict and evaluate the performance of a turbine under different operating conditions without actually manufacturing and testing physical prototypes, thus saving cost and time and improving the safety and reliability of the design.
[0058] In a possible implementation, in step 102, the turbine speed, temperature field data, and pressure field data when the turbine is operating under the plurality of operating conditions are loaded into the turbine model to obtain a target turbine model, including:
[0059] The turbine model is meshed, and material properties are configured and solver parameters are set to obtain a divided turbine model; the turbine speed, temperature field data and pressure field data of the turbine when the turbine is working under the several working conditions are loaded onto the divided turbine model; a one-way fluid-solid coupling analysis is performed based on the loaded divided turbine model to obtain stress and strain results of the turbine under the combined action of centrifugal load, thermal load and aerodynamic load, and the model at this time is used as the target turbine model.
[0060] In a possible implementation manner, the step of loading the turbine speed, temperature field data, and pressure field data when the turbine is operating under the plurality of operating conditions onto the divided turbine model includes:
[0061] The turbine speed under several working conditions is defined as inertial force and loaded onto the divided turbine model to simulate the stress and strain results under the centrifugal load; the temperature field data under several working conditions is loaded onto the divided turbine model as a boundary condition to simulate the stress and strain results under the thermal load; the pressure field data under several working conditions is loaded onto the divided turbine model as a boundary condition to simulate the stress and strain results under the aerodynamic load.
[0062] In a possible implementation, the centrifugal load, the thermal load and the aerodynamic load use a coupling relationship of thermal-fluid bidirectional coupling, thermal-structural unidirectional coupling and fluid-structural unidirectional coupling; wherein the thermal-fluid bidirectional coupling represents the mutual influence between the temperature field and the fluid field; the thermal-structural unidirectional coupling represents the influence of the temperature field on the structural field and the structural field has no feedback on the temperature field; the fluid-structure unidirectional coupling represents the influence of the fluid field on the structural field and the structural field has no feedback on the fluid field.
[0063] This method predicts the stress and strain distribution of the turbine by simulating the centrifugal loads, thermal loads, and aerodynamic loads that the turbine is subjected to under actual working conditions. This method combines the meshing of the turbine model, the configuration of material properties, the solver parameter settings, and the actual operating data, and uses fluid-solid coupling analysis technology to obtain the performance test results of the turbine under the combined action of multiple loads. This helps to evaluate the durability, reliability, and safety of the turbine, and provides a scientific basis for the design optimization and performance improvement of the turbine.
[0064] Suppose that the performance of the turbine section of a new gas turbine is being tested. The following is an example of how to implement the above technical solution: First, use 3D modeling software to create an accurate model of the turbine and mesh it, which is to improve the accuracy of the calculation in finite element analysis. Next, configure the material properties for the turbine model, such as elastic modulus, Poisson's ratio, etc., and set the solver parameters, which may include time step, number of iterations, etc., to ensure the accuracy and convergence of the analysis. After completing these steps, a well-meshed turbine model is obtained, ready to load the actual operating data.
[0065] The turbine speed, temperature field and pressure field data obtained from the engine model and actual operating data are loaded onto the divided turbine model. The turbine speed is defined as the inertial force to simulate the effect of centrifugal load on the turbine. The temperature field data is used as a boundary condition to simulate the effect of thermal load on the turbine. The pressure field data is also used as a boundary condition to simulate the effect of aerodynamic load on the turbine. Further one-way fluid-solid coupling analysis is performed, considering the relationship between thermal-fluid bidirectional coupling, thermal-structural one-way coupling and fluid-structural one-way coupling. Thermal-fluid bidirectional coupling analyzes how the temperature field affects the fluid field, and how the fluid field in turn affects the temperature field. Thermal-structural one-way coupling analyzes the effect of the temperature field on the turbine structure without considering the feedback of the structure on the temperature field. Fluid-structure one-way coupling analyzes the effect of the fluid field on the turbine structure without considering the feedback of the structure on the fluid field.
[0066] In a possible implementation manner, in step 104, analyzing the stress and strain results of the turbine under the combined action of a plurality of loads to obtain the turbine performance test results includes:
[0067] Based on the stress distribution characteristics, the stress and strain results of the turbine under the combined action of several loads are analyzed to identify the maximum stress area of the turbine, the fatigue failure risk of the turbine and the main controlling factors.
[0068] In a possible implementation, the stress distribution characteristics include that at a set maximum speed, the maximum stress of the turbine under the combined action of several loads occurs at the intersection of the wheel back and the boss, and the maximum stress of the turbine blade occurs at the blade root.
[0069] The performance and potential failure risk of the turbine are evaluated by conducting a detailed analysis of the stress and strain results of the turbine under the combined action of multiple loads. This method aims to identify the key areas of stress concentration in the turbine, predict the parts that may cause fatigue failure, and determine the main factors affecting the performance of the turbine. Through this analysis, a scientific basis can be provided for the design optimization, material selection, maintenance strategy and life prediction of the turbine, thereby improving the reliability and safety of the turbine.
[0070] After completing the fluid-structure interaction analysis, the stress and strain distribution data of the turbine under the combined action of centrifugal load, thermal load and aerodynamic load at the set maximum speed were obtained. These data were used to analyze the stress distribution characteristics of the turbine, with special attention paid to stress concentration areas, which may fail due to fatigue in long-term operation.
[0071] According to the analysis results, the maximum stress value is found at the intersection of the wheel back and the boss. This area is a critical part of the turbine structure because it is subjected to high stress from centrifugal force and aerodynamic force. At the same time, it is also found that the maximum stress of the turbine blade occurs at the root of the blade, which is where the blade is connected to the wheel disk and is also an area subject to high cyclic loads.
[0072] Based on the stress distribution characteristics, the fatigue failure risk of the turbine was evaluated. High stress concentration at the intersection of the wheel back and the boss and at the blade root may cause material fatigue, thereby increasing the risk of failure. Fatigue analysis methods, such as the SN curve (stress-life curve) or fatigue damage accumulation theory, are used to predict the fatigue life of these areas. The main factors affecting the performance of the turbine, including material properties, geometric design, load conditions, etc., were further analyzed. Through sensitivity analysis, it was determined which factors have the greatest impact on the stress distribution and performance of the turbine, thus providing direction for design optimization.
[0073] Based on the analysis results, the turbine design can be adjusted, such as increasing the material strength in critical areas, changing the geometry to reduce stress concentration, or adjusting operating parameters to reduce load effects. These improvements help improve the durability and reliability of the turbine, reduce maintenance costs, and extend the service life of the turbine.
[0074] The method provided in the embodiment of the present application studies the turbine stress response under the coupling of centrifugal load, thermal load and aerodynamic load based on the time-varying working conditions of the engine. Combining the performance of the turbine and the engine, it more accurately reflects the performance and potential value of the turbine and turbocharged engine in practical applications, helps to make trade-offs and choices according to actual needs to achieve the best performance and economic benefits, and also provides certain help for the design, manufacture and use of turbines and engines.
[0075] The method provided by the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.
[0076] Figure 2 The analysis framework of turbine stress response is shown. First, separate analysis is performed according to different load types (centrifugal load, thermal load, aerodynamic load), and the maximum stress and stress distribution as well as the maximum deformation and deformation distribution are analyzed. Then, the stress and strain conditions when the three loads act on the turbine together under different working conditions are analyzed. Considering the situation under the combined action of the three loads, the maximum stress and stress distribution as well as the maximum deformation and deformation distribution are analyzed, and the trend of turbine stress and strain changes with the working conditions is discussed.
[0077] First, single load analysis:
[0078] The turbine stress and strain under centrifugal load, thermal load and aerodynamic load are analyzed separately. For each load, the maximum stress and stress distribution, as well as the maximum deformation and deformation distribution are analyzed.
[0079] 1. Centrifugal load is directly related to turbine speed. Centrifugal load is generated by turbine rotation and is directly related to turbine speed. The higher the speed, the greater the centrifugal load.
[0080] When the turbine is only subjected to centrifugal loads, the maximum stress occurs at the intersection of the wheel back (the back of the blade) and the boss (the part where the blade connects to the hub) and at the root of the turbine blade (the root where the blade connects to the hub). These areas are subject to greater forces when rotating at high speeds.
[0081] The stress on the turbine blade increases gradually from the outer edge of the blade (the side away from the hub) to the root of the blade, indicating that the root of the blade bears greater stress than the outer edge. The maximum damage that the turbine can withstand is generally 1, and the damage to the turbine is predicted by the turbine life prediction model, which is a function of time or number of cycles in form.
[0082] 2. Thermal load is directly related to the flow field temperature. Thermal load is caused by the high temperature gas inside the turbine and is directly related to the flow field temperature.
[0083] Under the action of thermal load alone, the maximum stress position of the turbine is the edge of the hub at the flow channel inlet and the middle edge of the turbine blade, indicating that temperature changes have a greater impact on these areas. The overall stress distribution of the impeller does not show circular symmetry, which means that the distribution of thermal stress on the impeller is uneven, and the stress may be greater in some areas and less in other areas.
[0084] 3. Aerodynamic load is directly related to fluid velocity. Aerodynamic load is caused by the force of the fluid (usually gas) on the turbine blades and is directly related to the velocity of the fluid.
[0085] Under the action of aerodynamic load alone, the maximum stress position of the turbine is the edge of the turbine hub, and there is also stress distribution under the blade. The stress on the turbine blade is small overall, which indicates that the influence of aerodynamic load on the turbine blade is relatively small.
[0086] Second, common load analysis:
[0087] Analyze the stress and strain of the turbine when the three loads act together under different working conditions. Analyze its maximum stress and stress distribution, as well as maximum deformation and deformation distribution. Pay special attention to the stress and strain change trend of the turbine as the working conditions change.
[0088] 1. The influence of load on turbine stress:
[0089] At the highest speed, the centrifugal load on the turbine generates the greatest stress, followed by the thermal load, and the aerodynamic load has the smallest stress effect on the turbine. Therefore, when conducting a strength analysis of a turbocharger turbine for an automobile, the focus is on studying the effect of the centrifugal load. At the same time, on the basis of calculating the centrifugal load at the highest speed, the influence of the thermal load and aerodynamic load on the stress should also be fully considered.
[0090] 2. Stress distribution when three loads act together:
[0091] At the highest speed, when the turbine is subjected to the combined effects of centrifugal load, thermal load and aerodynamic load, the stress distribution is the same as when it is subjected to centrifugal load only. The specific stress distribution has the following characteristics: the stress at the intersection of the wheel back and the boss is the largest, and gradually decreases radially outward. The maximum stress of the turbine blade occurs at the root of the blade, then gradually decreases outward, and the stress at the edge of the blade is the smallest. Even under the combined effects of the three loads, the stress distribution is similar to when it is subjected to centrifugal load only, the location and value of the maximum stress area are close, and the minimum stress area appears at the blade edge and the hub.
[0092] 3. Load coupling relationship:
[0093] The centrifugal load, thermal load and aerodynamic load use the coupling relationship of thermal-fluid bidirectional coupling, thermal-structural one-way coupling and fluid-structural one-way coupling. During the analysis, the interaction and influence between different loads need to be considered. Thermal-fluid bidirectional coupling: the temperature field and the fluid field affect each other. Thermal-structural one-way coupling: the temperature field has an effect on the structural field, but the structural field has no feedback on the temperature field. Fluid-structural one-way coupling: the fluid field has an effect on the structural field, but the structural field has no feedback on the fluid field.
[0094] 4. Stress distribution at different speeds:
[0095] At different speeds, the maximum stress point of the turbine under the combined action of the three loads appears at the same position (the junction of the wheel back and the boss). The stress distribution pattern is the same throughout the turbine, that is, the stress on the wheel back gradually decreases radially outward. As the engine speed increases, the maximum stress of the turbine will increase, but in the high-speed area of the engine, the rate of increase of the maximum stress will slow down.
[0096] In summary, when designing and analyzing a turbocharger turbine, it is necessary to consider the combined effects of multiple loads and how these loads affect the stress distribution of the turbine. This is essential to ensure the strength and life of the turbine. Through this multi-field coupling analysis, the performance and reliability of the turbine under actual working conditions can be more accurately predicted.
[0097] Figure 3 The stress-strain analysis process of a turbocharger turbine is shown, which specifically includes the following steps:
[0098] Step 1-1: CAD 3D modeling: Use computer-aided design software to create a 3D model of the turbine.
[0099] Use 3D modeling software to accurately model key components of the supercharger turbine, such as blades and volutes. This step is the basis of the entire analysis and ensures the accuracy of subsequent analysis.
[0100] Step 1-2-1: FEA meshing: Import the 3D model into the Static Structural module of ANSYS to perform finite element analysis (FEA) meshing.
[0101] The three-dimensional model of the supercharger turbine is imported into the Static Structural module of ANSYS, and its mesh function is used for meshing. At the same time, the turbine speed calculated by AVL-Boost is input to calculate the stress and strain of the turbine under the centrifugal load.
[0102] When performing finite element analysis, the physical properties of the material, such as thermal conductivity, specific heat capacity, linear expansion coefficient, shear modulus and Poisson's ratio, need to be adjusted according to temperature changes to ensure the accuracy of the analysis results.
[0103] Step 1-3-1: CFD meshing: Import the 3D model into the CFX module of ANSYS to perform computational fluid dynamics (CFD) meshing for fluid field calculations.
[0104] The built 3D model is imported into the CFX module of ANSYS to mesh the 3D fluid domain. This step is to prepare for computational fluid dynamics (CFD) analysis to simulate the interaction between the fluid and the turbine.
[0105] Step 2-1: AVL-Boost establishes a one-dimensional model of the engine: Use AVL-Boost software to establish a one-dimensional model of the engine to simulate engine operating conditions.
[0106] The AVL-Boost software was used to build a one-dimensional simulation model of the engine and obtain the turbine speed data under different working conditions. These data are crucial to understanding the behavior of the turbine under different operating conditions.
[0107] Step 2-2: Input AVL-Boost to calculate turbine speed based on engine operating conditions.
[0108] Step 3: The turbine speed is combined with the turbine inlet temperature and pressure obtained from the engine test and input into the CFX module as boundary conditions to obtain the temperature field and pressure field of the supercharger turbine under different working conditions.
[0109] Combined with the intake temperature and pressure data obtained from the engine test, they are input into the CFX module as boundary conditions for CFD analysis. This helps to more accurately simulate the flow field under actual working conditions. The temperature and pressure fields under different working conditions are calculated through CFD analysis. This step is the key to understanding the performance of the turbine under various working conditions.
[0110] The volute, impeller and abandoned bypass valve are extracted separately from the original model as the rotating fluid domain and the static fluid domain respectively. The SST (Shear Stress Transport) model is selected as the turbulence model for solution. The centrifugal load directly inputs the turbine speed in the Static Structural module to calculate the stress and strain under the centrifugal load. The thermal load loads the temperature field data calculated by the CFX module onto the turbine for a one-way fluid-solid coupling analysis. Aerodynamic load: Similarly, the pressure field data is loaded onto the turbine for analysis. Through the above analysis, the stress and deformation distribution of the turbine under the action of centrifugal load, thermal load and aerodynamic load alone are obtained. The three loads are coupled by one-way fluid-solid coupling to further calculate the stress and total deformation of the turbine under the combined action of the three loads.
[0111] The flow field calculation needs to extract the volute, impeller and abandoned bypass valve from the original model as the rotating fluid domain and the static fluid domain. The present invention selects the SST (Shear Stress Transport) model as the turbulence model for solution. The temperature field and pressure field of the turbine can be obtained through flow field calculation.
[0112] The material parameter settings in finite element analysis should be temperature-related. The data that needs to be added include thermal conductivity, specific heat capacity, linear expansion coefficient, shear modulus and Poisson's ratio at different temperatures. Through calculation, the stress and deformation distribution of the turbine under the centrifugal load, thermal load and aerodynamic load can be obtained; and the three loads are coupled by unidirectional fluid-solid coupling, and the stress and total deformation of the turbine under the combined action of the three loads can be further calculated.
[0113] Step 4: Analyze the stress and strain of the turbine under the combined action of the three loads: Load the temperature field and pressure field data obtained by CFD calculation onto the turbine model, perform a one-way fluid-solid coupling analysis, and solve to obtain the stress and strain results of the turbine under the combined action of the three loads.
[0114] The turbine speed is set, and the temperature and pressure are loaded at the same time, and the stress and strain results of the turbine under the combined action of the three loads are solved. The combined action of centrifugal load, thermal load and aerodynamic load is considered at the same time, and the stress and total deformation of the turbine under these combined actions are solved. This step is to comprehensively evaluate the structural safety and reliability of the turbine in actual work. Finally, the calculation results are used to evaluate whether the design of the turbine meets the strength requirements, and in which areas there may be potential structural weaknesses or excessive stress concentration problems.
[0115] In summary, the present invention first uses 3D modeling software to model the supercharger turbine blades, volute and other components, and imports the model into the CFX module of ANSYS to divide the 3D fluid domain grid. AVL-Boost is used to establish a one-dimensional simulation model of the engine to obtain the turbine speed under different engine working conditions. The turbine intake temperature and pressure obtained in combination with the engine test are input into the CFX module as boundary conditions, and the temperature field and pressure field of the supercharger turbine under different working conditions can be obtained through CFD flow field calculation.
[0116] Then import the 3D model of the supercharger turbine into the Static Structural module of ANSYS, use its built-in mesh function to mesh the turbine, input the turbine speed calculated by AVL-Boost, and obtain the stress and strain of the turbine under the centrifugal load. Then load the temperature field and pressure field data calculated by the CFX module to the turbine respectively, perform one-way fluid-solid coupling in the Static Structural module, and obtain the stress and strain of the turbine under the thermal load and aerodynamic load respectively. Finally, by setting the speed of the turbine and loading the temperature and pressure at the same time, the stress and strain results of the turbine under the combined action of the three loads are solved.
[0117] In summary, the embodiment of the present application provides a method for testing turbine performance, which obtains turbine speed, temperature field data and pressure field data when the turbine is working under several working conditions based on the turbine model and the engine model, combined with the actual working condition data of the engine; the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions are loaded into the turbine model to obtain a target turbine model; based on the target turbine speed, target temperature field data and target pressure field data, the target turbine model is loaded, and a one-way fluid-solid coupling analysis is performed to obtain the stress and strain results of the turbine under the joint action of several loads; the stress and strain results of the turbine under the joint action of several loads are analyzed to obtain the turbine performance test results. Comprehensively considering factors such as the speed, temperature and pressure of the turbine under different working conditions, the one-way fluid-solid coupling analysis is used to accurately predict the stress and strain distribution of the turbine under actual working conditions, thereby evaluating the performance and reliability of the turbine.
[0118] Based on the same technical concept, the present application embodiment also provides a turbine performance test system, such as Figure 4 As shown, the system comprises:
[0119] The data module 401 is used to obtain the turbine speed, temperature field data and pressure field data of the turbine under several working conditions based on the turbine model and the engine model in combination with the actual working condition data of the engine;
[0120] The turbine model module 402 is used to load the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model;
[0121] The stress-strain result module 403 is used to load the target turbine speed, target temperature field data and target pressure field data into the target turbine model, and perform a one-way fluid-solid coupling analysis to obtain the stress and strain results of the turbine under the combined action of several loads;
[0122] The performance test module 404 is used to analyze the stress and strain results of the turbine under the combined action of several loads to obtain the turbine performance test results.
[0123] The present application also provides an electronic device corresponding to the method provided in the above embodiment. Figure 5 , which shows an electronic device diagram provided by some embodiments of the present application. The electronic device 20 may include: a processor 200, a memory 201, a bus 202 and a communication interface 203, wherein the processor 200, the communication interface 203 and the memory 201 are connected via the bus 202; the memory 201 stores a computer program that can be run on the processor 200, and the processor 200 executes the method provided by any of the aforementioned embodiments of the present application when running the computer program.
[0124] The memory 201 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one physical port (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.
[0125] The bus 202 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used to store programs, and the processor 200 executes the programs after receiving execution instructions. The method disclosed in any implementation of the aforementioned embodiment of the present application may be applied to the processor 200, or implemented by the processor 200.
[0126] The processor 200 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 200. The above processor 200 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or the hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 201, and the processor 200 reads the information in the memory 201 and completes the steps of the above method in combination with its hardware.
[0127] The electronic device provided in the embodiment of the present application and the method provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, operated or implemented by them.
[0128] The present application also provides a computer-readable storage medium corresponding to the method provided in the above embodiment. Figure 6 The computer-readable storage medium shown is a CD 30 on which a computer program (ie, a program product) is stored. When the computer program is run by a processor, the method provided by any of the aforementioned embodiments will be executed.
[0129] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.
[0130] The computer-readable storage medium provided in the above-mentioned embodiments of the present application and the method provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, run or implemented by the application program stored therein.
[0131] It should be noted that the above embodiments illustrate the present application rather than limit the present application, and that those skilled in the art may design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets should not be constructed as a limitation to the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of multiple such elements. The present application may be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim that lists several devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names.
[0132] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
[0133] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.
Claims
1. A turbine performance testing method, characterized in that: The method comprises: Based on the turbine model and the engine model, combined with the actual engine operating data, the turbine speed, temperature field data and pressure field data of the turbine under several operating conditions are obtained; Loading the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model; Based on the target turbine speed, target temperature field data and target pressure field data, the target turbine model is loaded and a one-way fluid-solid coupling analysis is performed to obtain the stress and strain results of the turbine under the combined action of several loads; The stress and strain results of the turbine under the combined action of several loads are analyzed to obtain the turbine performance test results.
2. The method according to claim 1, characterized in that Based on the turbine model and engine model, combined with the actual engine operating data, the turbine speed, temperature field data and pressure field data of the turbine under several operating conditions are obtained, including: Inputting actual engine operating condition data into the engine model to simulate the operating state of the engine under several operating conditions to obtain turbine speeds under several operating conditions; The turbine speed under the several working conditions, the turbine inlet temperature value and the pressure value under the corresponding working conditions are input into the fluid domain grid, and fluid dynamics calculation is performed to obtain the temperature field data and pressure field data of the turbine when working under the several working conditions.
3. The method according to claim 2, characterized in that The step of loading the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model comprises: Meshing the turbine model, configuring material properties and setting solver parameters to obtain a meshed turbine model; Loading turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions onto the divided turbine model; A one-way fluid-solid coupling analysis is performed based on the loaded divided turbine model to obtain stress and strain results of the turbine under the combined action of centrifugal load, thermal load and aerodynamic load, and the model at this time is used as the target turbine model.
4. The method according to claim 3, characterized in that The step of loading the turbine speed, temperature field data and pressure field data when the turbine is working under the plurality of working conditions onto the divided turbine model comprises: The turbine speeds under several working conditions are defined as inertial forces, and loaded onto the divided turbine model to simulate stress and strain results under the centrifugal load; Loading temperature field data under several working conditions as boundary conditions onto the partitioned turbine model to simulate stress and strain results under thermal load; The pressure field data under several working conditions are loaded onto the partitioned turbine model as boundary conditions to simulate the stress and strain results under the action of aerodynamic loads.
5. The method according to claim 3, characterized in that The centrifugal load, the thermal load and the aerodynamic load use a coupling relationship of thermal-fluid bidirectional coupling, thermal-structural unidirectional coupling and fluid-structural unidirectional coupling; wherein the thermal-fluid bidirectional coupling represents the mutual influence between the temperature field and the fluid field; the thermal-structural unidirectional coupling represents the influence of the temperature field on the structural field and the structural field has no feedback on the temperature field; the fluid-structural unidirectional coupling represents the influence of the fluid field on the structural field and the structural field has no feedback on the fluid field.
6. The method according to claim 1, characterized in that The analysis of the stress and strain results of the turbine under the combined action of several loads to obtain the turbine performance test results includes: Based on the stress distribution characteristics, the stress and strain results of the turbine under the combined action of several loads are analyzed to identify the maximum stress area of the turbine, the fatigue failure risk of the turbine and the main controlling factors.
7. The method according to claim 6, characterized in that The stress distribution characteristics include that the maximum stress of the turbine under the combined action of several loads at a set maximum speed occurs at the intersection of the wheel back and the boss, and the maximum stress of the turbine blade occurs at the blade root.
8. A turbine performance test system, characterized in that: The system comprises: A data module is used to obtain turbine speed, temperature field data and pressure field data when the turbine is working under several working conditions based on the turbine model and the engine model and in combination with the actual engine working condition data; A turbine model module, used for loading the turbine speed, temperature field data and pressure field data when the turbine is working under the several working conditions into the turbine model to obtain a target turbine model; A stress-strain result module is used to load the target turbine speed, target temperature field data and target pressure field data into the target turbine model, and perform a one-way fluid-solid coupling analysis to obtain the stress and strain results of the turbine under the combined action of several loads; The performance test module is used to analyze the stress and strain results of the turbine under the combined action of several loads to obtain the turbine performance test results.
9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and the computer-readable instructions can be executed by a processor to implement the method according to any one of claims 1-7.
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