Performance prediction method, device and equipment of turbofan engine, medium and product

Abstract

The invention relates to a performance prediction method and device for a turbofan engine, equipment, a medium and a product. The method comprises the following steps: according to a plurality of working parts in the turbofan engine, obtaining a plurality of single-channel grids corresponding to each working part and a complete machine single-channel grid corresponding to the turbofan engine; performing pneumatic steady simulation on each single-channel grid to obtain a steady simulation result of each single-channel grid; and according to the steady simulation result of each single-channel grid, carrying out multi-physical field non-steady simulation on the single-channel grid of the whole machine to obtain a performance prediction result of the turbofan engine in the multi-physical field. By adopting the method, the accuracy of the performance prediction result of the turbofan engine can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of simulation performance prediction, and in particular to a method, device, equipment, medium and product for predicting the performance of a turbofan engine. Background Art

[0002] With the development of aviation industry, the demand for performance prediction and optimization of turbofan engines in the design process is increasing.

[0003] In the related technology, the working process of the turbofan engine can be simulated by the numerical simulation method of the cross-dimensional coupling calculation process or the two-dimensional flow virtual numerical test method to predict the performance of the turbofan engine during the working process.

[0004] However, the related art method has the problem of inaccurate performance prediction results of turbofan engines. Summary of the invention

[0005] Based on this, it is necessary to provide a performance prediction method, device, equipment, medium and product for a turbofan engine in response to the above-mentioned technical problems, which can improve the accuracy of the performance prediction results of the turbofan engine.

[0006] In a first aspect, the present application provides a performance prediction method for a turbofan engine, comprising:

[0007] According to multiple working components in the turbofan engine, multiple single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine are obtained;

[0008] Perform aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid;

[0009] According to the steady-state simulation results of each single-channel grid, the unsteady simulation of multi-physical fields is carried out on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0010] In one embodiment, based on the steady simulation results of each single-channel grid, an unsteady simulation of multi-physics fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physics fields, including:

[0011] According to the steady-state simulation results of each single-channel grid, aerodynamic steady-state simulation is performed on the single-channel grid of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine;

[0012] Based on the initial simulation conditions of the single-channel grid of the whole machine, an unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0013] In one embodiment, according to the steady-state simulation results of each single-channel grid, aerodynamic steady-state simulation is performed on the single-channel grid of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine, including:

[0014] Interpolate the steady-state simulation results of each single-channel grid to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine;

[0015] The intake and exhaust processes are simulated in the cold initial field of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine.

[0016] In one embodiment, based on the initial simulation conditions of the single-channel grid of the whole machine, an unsteady simulation of multi-physics fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physics fields, including:

[0017] When the single-channel grid of the whole machine is in the initial simulation condition, the intake, exhaust and combustion processes of the single-channel grid of the whole machine are simulated to obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0018] In one embodiment, each single-channel grid includes a single-channel fan grid, a single-channel compressor grid, a single-channel combustion chamber grid, a single-channel turbine grid, and a single-channel tail nozzle grid;

[0019] Perform aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid, including:

[0020] The intake process is simulated in the single-channel fan grid to obtain the steady-state simulation result of the single-channel fan grid; the air compression process is simulated in the single-channel compressor grid to obtain the steady-state simulation result of the single-channel compressor grid; the shuttling process of compressed air is simulated in the single-channel combustion chamber grid to obtain the steady-state simulation result of the single-channel combustion chamber grid; and the exhaust process is simulated in the single-channel turbine grid to obtain the steady-state simulation result of the single-channel turbine grid, and the exhaust process is simulated in the single-channel tail nozzle grid to obtain the steady-state simulation result of the single-channel tail nozzle grid.

[0021] In one embodiment, according to multiple working components in a turbofan engine, obtaining multiple single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine includes:

[0022] Grid construction is performed for each working component in the turbofan engine to obtain a single-channel grid corresponding to each working component;

[0023] According to the arrangement order of each working component, the single-channel grids are merged to obtain the whole single-channel grid corresponding to the turbofan engine.

[0024] In one embodiment, the method further comprises:

[0025] Obtain the performance prediction results of the turbofan engine under different operating conditions; different operating conditions include different high-pressure shaft speeds, low-pressure shaft speeds and different fuel flow rates;

[0026] Determine whether the turbofan engine has abnormalities based on the performance prediction results under different operating conditions;

[0027] If there is an abnormality in the turbofan engine, a prompt message is output; the prompt message is used to prompt the optimization of the design of the turbofan engine.

[0028] In a second aspect, the present application also provides a performance prediction device for a turbofan engine, comprising:

[0029] An acquisition module, used for acquiring, according to multiple working components in the turbofan engine, multiple single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine;

[0030] A steady-state simulation module is used to perform aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid;

[0031] The unsteady simulation module is used to perform unsteady simulation of multi-physical fields on the single-channel grid of the whole machine according to the steady simulation results of each single-channel grid, and obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0032] In a third aspect, the present application also provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the content of any one embodiment of the performance prediction method of a turbofan engine in the first aspect mentioned above.

[0033] In a fourth aspect, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the contents of any one embodiment of the method for predicting the performance of a turbofan engine in the first aspect described above.

[0034] In a fifth aspect, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the content of any one embodiment of the performance prediction method of a turbofan engine in the first aspect above.

[0035] The above-mentioned turbofan engine performance prediction method, device, equipment, medium and product obtain multiple single-channel grids corresponding to each working component and the whole-machine single-channel grid corresponding to the turbofan engine according to multiple working components in the turbofan engine; perform aerodynamic steady-state simulation on each single-channel grid to obtain the steady-state simulation results of each single-channel grid; based on the steady-state simulation results of each single-channel grid, perform multi-physical field unsteady simulation on the whole-machine single-channel grid to obtain the performance prediction results of the turbofan engine under multi-physical fields. In the performance prediction process, this method first performs aerodynamic steady-state simulation on the single-channel grid corresponding to each working component, and based on this simulation, performs multi-physical field unsteady simulation on the whole-machine single-channel grid, that is, by simulating the local first and then the whole, the simulation process can be completed more comprehensively, and the obtained performance prediction results will also be more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A diagram showing an application environment of a method for predicting performance of a turbofan engine in one embodiment;

[0038] Figure 2 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0039] Figure 3 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0040] Figure 4 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0041] Figure 5 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0042] Figure 6 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0043] Figure 7 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0044] Figure 8 A schematic flow chart of a method for predicting performance of a turbofan engine in one embodiment;

[0045] Fig. 9 is a structural block diagram of a performance prediction device for a turbofan engine in one embodiment;

[0046] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] Before introducing the technical solution of the present application in detail, a brief introduction to the background technology of the present application is first given.

[0049] With the development of aviation industry, the demand for prediction and optimization of engine performance is increasing, and whole-machine aerodynamic combustion simulation has become an important means to predict engine performance.

[0050] Taking a turbine engine as an example, the relevant technology can predict the performance of a turbine engine in two different ways. In one way, the working process of a turbofan engine can be simulated by a numerical simulation method of a cross-dimensional coupled calculation process. In another way, the working process of a turbofan engine can be simulated by a two-dimensional flow virtual numerical test method to predict the performance of the turbofan engine during operation.

[0051] However, the methods of related technologies have the problem of inaccurate performance prediction results for turbofan engines. The inaccurate performance prediction results are caused by three reasons. The specific reasons include: (1) After modeling, the compressor, combustion chamber, turbine and other components are connected through interfaces. The physical field data is easily transferred at the interface, which leads to a cumulative decrease in simulation accuracy or even calculation divergence; (2) When the whole machine simulation calculation is started directly from the uniform initial field, the whole machine is a process of first increasing pressure and then reducing pressure. The inlet and outlet pressure difference is small, which makes it difficult for the compressor flow field to converge; (3) The steady initial field of the whole machine is not effectively obtained, which affects the start and accuracy of the unsteady simulation.

[0052] In view of the above problems, the present application provides a method, device, equipment, medium and product for predicting the performance of a turbofan engine, which can improve the accuracy of the performance prediction results of the turbofan engine based on these three reasons. Of course, the technical solution provided in the embodiments of the present application is not limited to solving only the above problems, but also has other technical effects, which can be specifically referred to in the following embodiments. The technical solution of the present application is described in detail below.

[0053] The performance prediction method of the turbofan engine provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. The application environment includes a turbofan engine 101 and a computer device 102. The computer device 102 is used to obtain multiple single-channel grids corresponding to each working component and a single-channel grid of the whole machine corresponding to the turbofan engine 101 according to multiple working components in the turbofan engine 101; perform aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid; perform unsteady simulation of multi-physical fields on the single-channel grid of the whole machine according to the steady-state simulation results of each single-channel grid, and obtain performance prediction results of the turbofan engine 101 under multi-physical fields.

[0054] In an exemplary embodiment, Figure 2 As shown, a performance prediction method for a turbofan engine is provided. Figure 1 The computer device in the example is used to illustrate, including the following steps 101 to 103. Among them:

[0055] S101, based on multiple working components in a turbofan engine, obtain multiple single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine.

[0056] Among them, a turbofan engine refers to a gas turbine engine in which the gas ejected from the nozzle and the air exhausted by the fan jointly generate reaction thrust. A turbofan engine includes components such as a fan, a compressor, a combustion chamber, and a turbine.

[0057] Since each working component includes multiple identical blades, during the simulation of the turbofan engine, a reference blade is used for simulation, that is, the single-channel grid is the model of a blade in the working component, and the single-channel grid of the whole machine is the combined model of a blade in each working component.

[0058] In an embodiment of the present application, for any working component in a turbofan engine, the computer device can use mesh generation software to generate a three-dimensional mesh of the working component based on the relevant information of any blade in the working component. And use the three-dimensional mesh of the working component as the single-channel mesh corresponding to the working component. Alternatively, the single-channel meshes corresponding to multiple components in the turbofan engine are stored in a mesh database. The computer device can also query the mesh matching the identification information from the mesh database based on the identification information of each working component, and use the mesh matching the identification information as the single-channel mesh corresponding to the working component.

[0059] Furthermore, the computer device may merge the single-channel grids corresponding to each working component, and use the merged grid as the whole-machine single-channel grid corresponding to the turbofan engine. Alternatively, the whole single-channel grid corresponding to the turbofan engine is also stored in the grid database, and the computer device may query the grid matching the identification information from the grid database based on the identification information of the turbofan engine, and use the grid matching the identification information as the whole-machine single-channel grid corresponding to the turbofan engine. The embodiment of the present application does not limit the method for obtaining multiple single-channel grids corresponding to each working component and the whole-machine single-channel grid corresponding to the turbofan engine.

[0060] S102, performing aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid.

[0061] During the operation of a turbofan engine, air needs to be inhaled and exhausted, that is, air is input from one side of the turbofan engine and exhausted from the other side. Then, the air will stay in every working part of the turbofan engine. Aerodynamic steady simulation is to simulate the process of air entering different working parts while keeping the physical field unchanged. For example, the physical field can be information such as temperature, pressure and speed of the turbofan engine.

[0062] In an embodiment of the present application, for any single-channel grid, the computer device can use the startup simulation program software to simulate the process of air entering the single-channel grid and being discharged from the single-channel grid, and use the relevant parameters during the air entry and discharge time period as the steady-state simulation results of the single-channel grid.

[0063] S103, based on the steady-state simulation results of each single-channel grid, an unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole engine to obtain a performance prediction result of the turbofan engine under multi-physical fields.

[0064] Among them, unsteady simulation refers to simulating the aerodynamic and combustion process of a turbofan engine under the condition of a changing physical field. For example, the physical field can be information such as temperature, pressure and speed of a turbofan engine. It should be noted that since the unsteady simulation process involves the combustion process, as the combustion time changes, the temperature, pressure and speed of the turbofan engine will also change accordingly. Therefore, this process is an unsteady simulation process.

[0065] In the embodiment of the present application, the computer device can use the steady-state simulation result of each single-channel grid as an initial simulation condition, and under the initial simulation condition, use the aerodynamic combustion multi-physics field simulation program software to perform multi-physics field unsteady simulation on the single-channel grid of the whole machine to obtain the simulation result. And according to the simulation result, determine the performance prediction result of the turbofan engine under the multi-physics field. For example, the simulation result can be the tail jet speed.

[0066] Optionally, the steady-state simulation result of each single-channel grid is obtained through a local simulation process, so the steady-state simulation result may be inaccurate. Therefore, before the unsteady simulation, the steady-state simulation result of each single-channel grid can be used as an initial simulation condition, and under the initial simulation condition, the aerodynamic simulation program software is used to perform a steady-state simulation on the single-channel grid of the whole machine to obtain the steady-state simulation result of the whole machine. And the steady-state simulation result of the whole machine is used as the initial simulation condition of the unsteady simulation, and the aerodynamic combustion multi-physics field simulation program software is used to perform a multi-physics field unsteady simulation on the single-channel grid of the whole machine to obtain the simulation result.

[0067] In the above-mentioned performance prediction method of a turbofan engine, according to the multiple working parts in the turbofan engine, multiple single-channel grids corresponding to each working part and the single-channel grid of the whole machine corresponding to the turbofan engine are obtained; aerodynamic steady-state simulation is performed on each single-channel grid to obtain the steady-state simulation results of each single-channel grid; according to the steady-state simulation results of each single-channel grid, an unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physical fields. In the performance prediction process, this method first performs aerodynamic steady-state simulation on the single-channel grid corresponding to each working part, and based on this simulation, performs unsteady simulation of multi-physical fields on the single-channel grid of the whole machine, that is, by simulating the local first and then the whole, the simulation process can be completed more comprehensively, and the performance prediction results obtained will also be more accurate.

[0068] The unsteady simulation process is very important for the performance prediction results. In one embodiment, Figure 3 As shown, the specific contents of the above-mentioned unsteady simulation of multi-physics fields on the single-channel grid of the whole machine based on the steady-state simulation results of each single-channel grid to obtain the performance prediction results of the turbofan engine under multi-physics fields include:

[0069] S201, performing aerodynamic steady-state simulation on the single-channel grid of the whole machine according to the steady-state simulation results of each single-channel grid, and obtaining initial simulation conditions of the single-channel grid of the whole machine.

[0070] In the embodiment of the present application, after obtaining the steady-state simulation results of each single-channel grid, the computer device can use the interpolation tool to interpolate the steady-state simulation results of each single-channel grid to the whole machine single-channel grid to generate the whole machine cold initial field. The whole machine cold initial field can be used as the simulation condition of the whole machine single-channel grid before the aerodynamic steady-state simulation.

[0071] In order to ensure the accuracy of the subsequent unsteady simulation process, the computer equipment can use the aerodynamic simulation program software to perform aerodynamic simulation on the single-channel grid of the whole machine, that is, simulate the intake and exhaust process on the single-channel grid of the whole machine. After the simulation is completed, the initial simulation conditions of the single-channel grid of the whole machine are obtained.

[0072] S202, based on the initial simulation conditions of the single-channel grid of the whole machine, perform an unsteady simulation of multi-physical fields on the single-channel grid of the whole machine to obtain a performance prediction result of the turbofan engine under multi-physical fields.

[0073] In the embodiment of the present application, after obtaining the initial simulation conditions of the single-channel grid of the whole machine through the aerodynamic steady simulation process, the computer device can use the aerodynamic combustion multi-physics field simulation program software to perform multi-physics field unsteady simulation on the single-channel grid of the whole machine, that is, simulate the intake, exhaust and combustion process. When the unsteady simulation process is completed, the performance prediction results of the turbofan engine under the multi-physics field are determined according to the simulation results.

[0074] For example, when the simulation result is the average velocity of the tail nozzle outlet area, the computer device can determine whether the velocity reaches the preset condition. If so, the performance prediction result of the turbofan engine can be determined to be good; if not, the performance prediction result of the turbofan engine can be determined to be poor. Alternatively, the performance prediction result can also be divided into multiple levels, and the performance prediction level of the speed range is determined by determining the speed range of the tail nozzle velocity. For example, the performance prediction levels can include: low level, medium level and high level.

[0075] In the above-mentioned performance prediction method of the turbofan engine, according to the steady-state simulation results of each single-channel grid, the aerodynamic steady-state simulation is performed on the single-channel grid of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine; based on the initial simulation conditions of the single-channel grid of the whole machine, the unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physical fields. Before the unsteady simulation, this method first performs aerodynamic steady-state simulation on the single-channel grid of the whole machine according to the steady-state simulation results of each single-channel grid, and the steady-state simulation results of each single-channel grid can be adjusted to ensure the accuracy of the initial simulation conditions. Then, using the initial simulation conditions to perform unsteady simulation of multi-physical fields on the single-channel grid of the whole machine can improve the accuracy of the simulation process, and the performance prediction results of the turbofan engine under multi-physical fields obtained will also be more accurate.

[0076] Next, the specific contents of the initial simulation conditions of the whole machine single channel grid obtained by performing aerodynamic steady-state simulation on the whole machine single channel grid according to the steady-state simulation results of each single channel grid are introduced through an embodiment. Figure 4 As shown, the specific content includes:

[0077] S301, interpolating the steady-state simulation results of each single-channel grid to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine.

[0078] In the embodiment of the present application, in the interpolation process, the interpolation tool is mainly used to complete the data difference. Therefore, the computer device can use the interpolation tool to simultaneously interpolate the steady-state simulation results of multiple single-channel grids to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine. Alternatively, the computer device can also interpolate the steady-state simulation results of the single-channel grid of each component to the single-channel grid of the whole machine in turn according to the position of each component in the turbofan engine to obtain the cold initial field of the whole machine.

[0079] S302, simulating the air intake and exhaust process in the cold initial field of the whole machine to obtain the initial simulation conditions of the single channel grid of the whole machine.

[0080] In an embodiment of the present application, during the process of performing aerodynamic steady-state simulation on a single-channel grid of the entire machine, the computer device can set the parameters of the intake and exhaust process on the aerodynamic simulation program software, control the simulated intake and exhaust process in the cold initial field of the entire machine, and obtain the initial simulation conditions of the single-channel grid of the entire machine.

[0081] In the performance prediction method of the turbofan engine described above, the steady-state simulation results of each single-channel grid are interpolated to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine; the intake and exhaust process is simulated in the cold initial field of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine. Based on the distributed simulation, this method can ensure the accuracy of the simulation results of each component and the consistency of the single-channel grid of the whole machine through interpolation technology, avoid the decrease in accuracy during the data transmission process of the interface between the components, and accurately obtain the initial simulation conditions of the single-channel grid of the whole machine. In addition, by constructing the cold initial field of the whole machine and performing the aerodynamic steady-state calculation of the whole machine, the cold initial field of the whole machine is gradually adjusted until convergence, which improves the convergence, that is, the initial simulation conditions of the single-channel grid of the whole machine can be quickly obtained.

[0082] In one embodiment, the above-mentioned unsteady simulation of multi-physics fields on the single-channel grid of the whole machine based on the initial simulation conditions of the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physics fields includes:

[0083] When the single-channel grid of the whole machine is in the initial simulation condition, the intake, exhaust and combustion processes of the single-channel grid of the whole machine are simulated to obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0084] In an embodiment of the present application, when unsteady simulation is required, the computer equipment can use the initial simulation conditions of the single-channel grid of the whole machine as the basis, and use the aerodynamic combustion multi-physics field simulation program software to simulate the intake, exhaust and combustion processes of the single-channel grid of the whole machine, that is, simulate the working process of the turbofan engine, and obtain the performance prediction results of the turbofan engine under multi-physics fields.

[0085] In the above-mentioned turbofan engine performance prediction method, when the single-channel grid of the whole machine is in the initial simulation condition, the intake, exhaust and combustion processes of the single-channel grid of the whole machine are simulated to obtain the performance prediction results of the turbofan engine under multi-physical fields. In this method, when the single-channel grid of the whole machine is in the initial simulation condition, the combustion process of the turbofan engine is simulated from an overall perspective on the basis of distributed simulation by means of unsteady simulation, so that the accuracy of the simulation results can be improved, and the performance prediction results of the turbofan engine under multi-physical fields will be more accurate.

[0086] Assuming that the plurality of single-channel grids include a single-channel fan grid, a single-channel compressor grid, a single-channel combustion chamber grid, a single-channel turbine grid, and a single-channel tail nozzle grid, then, in one embodiment, the specific contents of the above-mentioned steady-state simulation results of each single-channel grid obtained by performing aerodynamic steady-state simulation on each single-channel grid are introduced, and the specific contents include:

[0087] The intake process is simulated in the single-channel fan grid to obtain the steady-state simulation result of the single-channel fan grid; the air compression process is simulated in the single-channel compressor grid to obtain the steady-state simulation result of the single-channel compressor grid; the shuttling process of compressed air is simulated in the single-channel combustion chamber grid to obtain the steady-state simulation result of the single-channel combustion chamber grid; and the exhaust process is simulated in the single-channel turbine grid to obtain the steady-state simulation result of the single-channel turbine grid, and the exhaust process is simulated in the single-channel tail nozzle grid to obtain the steady-state simulation result of the single-channel tail nozzle grid.

[0088] In the embodiment of the present application, the fan in the turbofan engine is mainly used to inhale air into the turbofan engine, the compressor is mainly used to compress the air, and the combustion chamber is mainly used to burn fuel. If the combustion process is not involved, the compressed air passes through the combustion chamber and enters the turbine, and the turbine is mainly used to discharge the air out of the turbofan engine. Based on this, the computer device can simulate the relevant process of the single-channel grid corresponding to each component according to the effect of each component on the air in the turbofan engine using the aerodynamic simulation program software to obtain the steady-state simulation results of each single-channel grid.

[0089] In the above-mentioned performance prediction method of the turbofan engine, the intake process is simulated in the single-channel fan grid to obtain the steady-state simulation result of the single-channel fan grid; the air compression process is simulated in the single-channel compressor grid to obtain the steady-state simulation result of the single-channel compressor grid; the shuttling process of compressed air is simulated in the single-channel combustion chamber grid to obtain the steady-state simulation result of the single-channel combustion chamber grid; and the exhaust process is simulated in the single-channel turbine grid to obtain the steady-state simulation result of the single-channel turbine grid, and the exhaust process is simulated in the single-channel tail nozzle grid to obtain the steady-state simulation result of the single-channel tail nozzle grid. This method uses the steady-state simulation method to simulate the aerodynamic process of each component in the turbofan engine in a distributed manner, and can provide initial simulation conditions to the subsequent overall simulation process from a local perspective, which is convenient for the subsequent overall simulation process.

[0090] Next, the specific contents of obtaining multiple single-channel grids corresponding to each working component and the whole-machine single-channel grid corresponding to the turbofan engine according to multiple working components in the turbofan engine are introduced through an embodiment. Figure 5 As shown, the specific content includes:

[0091] S401, constructing a mesh for each working component in the turbofan engine to obtain a single-channel mesh corresponding to each working component.

[0092] In the embodiment of the present application, for any working component in a turbofan engine, the computer device can use the mesh generation software to construct a mesh corresponding to a blade in the working component according to the size, performance and other related information of the working component, and use the mesh corresponding to the blade as the single-channel mesh corresponding to the working component. The single-channel mesh corresponding to each working component can be constructed in the above manner.

[0093] S402, merging the single-channel grids according to the arrangement order of the working components to obtain a whole-machine single-channel grid corresponding to the turbofan engine.

[0094] In the embodiment of the present application, after obtaining the single-channel meshes corresponding to multiple working components, the computer device can determine the arrangement order of each working component according to the position of each working component, and use the mesh merging tool to merge the single-channel meshes corresponding to each working component, and the merged single-channel mesh is the whole machine single-channel mesh corresponding to the turbofan engine.

[0095] In the above-mentioned turbofan engine performance prediction method, each working component in the turbofan engine is meshed to obtain multiple single-channel meshes corresponding to each working component; each single-channel mesh is merged according to the arrangement order of each working component to obtain the whole machine single-channel mesh corresponding to the turbofan engine. This method constructs each working component and merges the constructed multiple single-channel meshes to obtain the whole machine single-channel mesh, thus avoiding the complexity of the entire turbofan engine construction process.

[0096] After simulating the turbofan engine and obtaining the performance prediction result of the turbofan engine, the computer device can also determine whether the turbofan engine has an abnormality based on the performance prediction result, and further optimize the turbofan engine based on the judgment result. Then, in one embodiment, if Figure 6 As shown, the method also includes:

[0097] S501, obtaining performance prediction results of a turbofan engine under different operating conditions; the different operating conditions include different high-pressure shaft speeds, low-pressure shaft speeds, and different fuel flow rates.

[0098] In an embodiment of the present application, the computer device can set multiple high-pressure shaft speeds, multiple low-pressure shaft speeds, and multiple fuel flow rates to achieve different working conditions. Before each simulation of a turbofan engine, a high-pressure shaft speed, a low-pressure shaft speed, and a fuel flow rate are set. The turbofan engine is then simulated to determine the performance prediction results of the turbofan engine under the working condition. In this way, the performance prediction results of the turbofan engine under different working conditions can be obtained.

[0099] S502, determining whether there is an abnormality in the turbofan engine based on the performance prediction results under different operating conditions.

[0100] In the embodiment of the present application, for any working condition, the computer device can compare the performance prediction result under the working condition with the preset performance to determine whether the performance prediction result under the working condition meets the preset condition. If the preset condition is met, it is determined that there is no abnormality in the turbofan engine; if the preset condition is not met, it is determined that there is an abnormality in the turbofan engine.

[0101] S503, if there is an abnormality in the turbofan engine, a prompt message is output; the prompt message is used to prompt the optimization of the design of the turbofan engine.

[0102] In the embodiment of the present application, when it is determined that there is no abnormality in the turbofan engine, the computer device can generate a corresponding prompt message based on the abnormal working condition. The prompt message can be prompted in the form of text, voice, etc. For example, the prompt message can be: the turbofan engine has an abnormality under working condition A, and the abnormality type is a serious level. After receiving the prompt message, the technician can make corresponding improvements to the design process of the turbofan engine.

[0103] In the above-mentioned turbofan engine performance prediction method, the performance prediction results of the turbofan engine under different working conditions are obtained; the different working conditions include different high-pressure shaft speeds, low-pressure shaft speeds and different fuel flows; according to the performance prediction results under different working conditions, it is determined whether the turbofan engine has an abnormality; if the turbofan engine has an abnormality, a prompt message is output; the prompt message is used to prompt the optimization of the design of the turbofan engine. This method can determine whether the turbofan engine has an abnormality from a more comprehensive perspective by making an abnormality judgment on the performance prediction results under different working conditions. And in the case of an abnormality, a prompt message is output to prompt the optimization of the design of the turbofan engine. Through this process, the performance of the turbofan engine can be improved.

[0104] As a specific embodiment of the present application, the performance prediction process of the turbofan engine is described in detail below. In one embodiment, Figure 7 As shown, the performance prediction method of the turbofan engine includes:

[0105] S601, constructing a mesh for each working component in the turbofan engine to obtain a plurality of single-channel meshes corresponding to each working component;

[0106] S602, merging the single-channel grids according to the arrangement order of the working components to obtain a whole-machine single-channel grid corresponding to the turbofan engine;

[0107] S603, performing aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid;

[0108] S604, interpolating the steady-state simulation results of each single-channel grid to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine;

[0109] S605, simulating the air intake and exhaust process in the cold initial field of the whole machine to obtain the initial simulation conditions of the single channel grid of the whole machine;

[0110] S606, when the single-channel grid of the whole machine is in the initial simulation condition, the intake, exhaust and combustion processes of the single-channel grid of the whole machine are simulated to obtain the performance prediction result of the turbofan engine under the multi-physical field.

[0111] Figure 8The present invention is a flow chart of a method for predicting the performance of a turbofan engine, the method comprising: S701, constructing single-channel grids corresponding to multiple components in a turbofan engine; S702, performing aerodynamic steady-state simulation on each single-channel grid; S703, merging multiple single-channel grids to obtain a single-channel grid for the whole engine; S704, interpolating the aerodynamic steady-state simulation result onto the single-channel grid for the whole engine to obtain the cold initial field of the whole engine; S705, aerodynamic steady-state simulation of the whole engine; S706, aerodynamic combustion unsteady simulation of the whole engine.

[0112] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0113] Based on the same inventive concept, the embodiment of the present application also provides a performance prediction device for a turbofan engine for implementing the performance prediction method for a turbofan engine involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more performance prediction devices for turbofan engines provided below can refer to the limitations of the performance prediction method for turbofan engines above, and will not be repeated here.

[0114] In an exemplary embodiment, Fig. 9 As shown, a performance prediction device for a turbofan engine is provided, comprising: an acquisition module 11, a steady simulation module 12 and an unsteady simulation module 13, wherein:

[0115] An acquisition module 11 is used to acquire, according to multiple working components in the turbofan engine, multiple single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine;

[0116] A steady-state simulation module 12 is used to perform aerodynamic steady-state simulation on each single-channel grid to obtain steady-state simulation results of each single-channel grid;

[0117] The unsteady simulation module 13 is used to perform unsteady simulation of multi-physical fields on the single-channel grid of the whole machine according to the steady simulation results of each single-channel grid, so as to obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0118] In an exemplary embodiment, the unsteady simulation module includes: a first simulation unit and a second simulation unit, wherein:

[0119] The first simulation unit is used to perform aerodynamic steady-state simulation on the single-channel grid of the whole machine according to the steady-state simulation results of each single-channel grid, so as to obtain the initial simulation conditions of the single-channel grid of the whole machine;

[0120] The second simulation unit is used to perform unsteady simulation of multi-physical fields on the single-channel grid of the whole machine based on the initial simulation conditions of the single-channel grid of the whole machine, and obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0121] In an exemplary embodiment, the first simulation unit is also used to interpolate the steady-state simulation results of each single-channel grid to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine; simulate the intake and exhaust process in the cold initial field of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine.

[0122] In an exemplary embodiment, the second simulation unit is also used to simulate the intake, exhaust and combustion processes of the single-channel grid of the whole machine when the single-channel grid of the whole machine is in the initial simulation conditions, so as to obtain the performance prediction results of the turbofan engine under multi-physical fields.

[0123] In an exemplary embodiment, the above-mentioned steady-state simulation module includes a third simulation unit, wherein:

[0124] The third simulation unit is used to simulate the intake process in the single-channel fan grid to obtain the steady-state simulation result of the single-channel fan grid; simulate the air compression process in the single-channel compressor grid to obtain the steady-state simulation result of the single-channel compressor grid; simulate the shuttling process of compressed air in the single-channel combustion chamber grid to obtain the steady-state simulation result of the single-channel combustion chamber grid; and simulate the exhaust process in the single-channel turbine grid to obtain the steady-state simulation result of the single-channel turbine grid, and simulate the exhaust process in the single-channel tail nozzle grid to obtain the steady-state simulation result of the single-channel tail nozzle grid.

[0125] In an exemplary embodiment, the acquisition module includes: a construction unit and a merging unit, wherein:

[0126] A construction unit is used to construct a mesh for each working component in the turbofan engine to obtain a single-channel mesh corresponding to each working component;

[0127] The merging unit is used to merge the single-channel grids according to the arrangement order of the working parts to obtain the whole-machine single-channel grid corresponding to the turbofan engine.

[0128] In an exemplary embodiment, the performance prediction device of the turbofan engine further includes: an acquisition unit, an abnormality determination unit and an output unit, wherein:

[0129] An acquisition unit is used to obtain performance prediction results of the turbofan engine under different operating conditions; the different operating conditions include different high-pressure shaft speeds, low-pressure shaft speeds and different fuel flow rates;

[0130] an abnormality determination unit, used to determine whether the turbofan engine has an abnormality according to the performance prediction results under different working conditions;

[0131] The output unit is used to output a prompt message when an abnormality occurs in the turbofan engine; the prompt message is used to prompt optimization of the design of the turbofan engine.

[0132] Each module in the performance prediction device of the turbofan engine can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0133] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.10 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store performance prediction data of a turbofan engine. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a performance prediction method for a turbofan engine is implemented.

[0134] Those skilled in the art will understand that Fig.10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0135] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the content of any one embodiment of the performance prediction method of the above-mentioned turbofan engine is implemented.

[0136] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the content of any one embodiment of the performance prediction method of the above-mentioned turbofan engine is implemented.

[0137] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the content of any one embodiment of the above-mentioned turbofan engine performance prediction method.

[0138] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0139] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0140] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0141] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for predicting performance of a turbofan engine, characterized in that: The method comprises: According to a plurality of working components in a turbofan engine, a plurality of single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine are obtained; Performing aerodynamic steady-state simulation on each of the single-channel grids to obtain steady-state simulation results of each of the single-channel grids; According to the steady-state simulation results of each single-channel grid, an unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physical fields.

2. The method according to claim 1, characterized in that According to the steady-state simulation results of each single-channel grid, the unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole machine to obtain the performance prediction results of the turbofan engine under multi-physical fields, including: According to the steady-state simulation results of each single-channel grid, aerodynamic steady-state simulation is performed on the single-channel grid of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine; Based on the initial simulation conditions of the single-channel grid of the whole machine, an unsteady simulation of multi-physical fields is performed on the single-channel grid of the whole machine to obtain performance prediction results of the turbofan engine under multi-physical fields.

3. The method according to claim 2, characterized in that The step of performing aerodynamic steady-state simulation on the single-channel grid of the whole machine according to the steady-state simulation results of each single-channel grid to obtain the initial simulation conditions of the single-channel grid of the whole machine includes: Interpolating the steady-state simulation results of each single-channel grid to the single-channel grid of the whole machine to obtain the cold initial field of the whole machine; The air intake and exhaust process is simulated in the cold initial field of the whole machine to obtain the initial simulation conditions of the single-channel grid of the whole machine.

4. The method according to claim 2, characterized in that: The method of performing a multi-physics unsteady simulation on the single-channel grid of the whole machine based on the initial simulation condition of the single-channel grid of the whole machine to obtain a performance prediction result of the turbofan engine under the multi-physics field includes: When the whole machine single-channel grid is in the initial simulation condition, the intake, exhaust and combustion processes of the whole machine single-channel grid are simulated to obtain the performance prediction results of the turbofan engine under multi-physical fields.

5. The method according to any one of claims 1 to 4, characterized in that: Each of the single-channel grids includes a single-channel fan grid, a single-channel compressor grid, a single-channel combustion chamber grid, a single-channel turbine grid and a single-channel tail nozzle grid; The step of performing aerodynamic steady-state simulation on each of the single-channel grids to obtain steady-state simulation results of each of the single-channel grids comprises: The intake process is simulated in the single-channel fan grid to obtain a steady-state simulation result of the single-channel fan grid; the air compression process is simulated in the single-channel compressor grid to obtain a steady-state simulation result of the single-channel compressor grid; the shuttling process of compressed air is simulated in the single-channel combustion chamber grid to obtain a steady-state simulation result of the single-channel combustion chamber grid; and the exhaust process is simulated in the single-channel turbine grid to obtain a steady-state simulation result of the single-channel turbine grid, and the exhaust process is simulated in the single-channel tail nozzle grid to obtain a steady-state simulation result of the single-channel tail nozzle grid.

6. The method according to any one of claims 1 to 4, characterized in that: The method of obtaining, according to multiple working components in the turbofan engine, multiple single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine comprises: Performing mesh construction on each working component in the turbofan engine to obtain a single-channel mesh corresponding to each working component; According to the arrangement order of the working parts, the single-channel grids are merged to obtain the whole-machine single-channel grid corresponding to the turbofan engine.

7. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: Obtaining performance prediction results of the turbofan engine under different operating conditions; the different operating conditions include different high-pressure shaft speeds, low-pressure shaft speeds and different fuel flow rates; Determining whether the turbofan engine has an abnormality according to the performance prediction results under the different operating conditions; If there is an abnormality in the turbofan engine, a prompt message is output; the prompt message is used to prompt optimization of the design of the turbofan engine.

8. A performance prediction device for a turbofan engine, characterized in that: The device comprises: An acquisition module, used for acquiring, according to a plurality of working components in a turbofan engine, a plurality of single-channel grids corresponding to each working component and a whole-machine single-channel grid corresponding to the turbofan engine; A steady-state simulation module, used for performing aerodynamic steady-state simulation on each of the single-channel grids to obtain steady-state simulation results of each of the single-channel grids; The unsteady simulation module is used to perform unsteady simulation of multiple physical fields on the single-channel grid of the whole machine according to the steady simulation results of each single-channel grid, so as to obtain the performance prediction results of the turbofan engine under multiple physical fields.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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