Construction method of fluid mechanics simulation model applied to fan

Abstract

The invention relates to the technical field of fluid mechanics data processing, in particular to a construction method of a fluid mechanics simulation model applied to a fan. The method comprises the following steps: acquiring fan drawing information; the geometric structure of the fan drawing information is recognized, wherein the geometric structure comprises an air inlet and outlet, an air guide cover, an air guide direction rotating shaft and an air bag connector; judging the structural shape of the fan according to the air inlet / outlet and the air guide direction rotating shaft to obtain structural shape data; performing fan structure corresponding position identification on the wind scooper and the wind bag connector to generate structure position data; and constructing a fan structure model based on the structure shape data and the structure position data. Through the data processing technology and the analogue simulation technology, the fan fluid mechanics simulation model is constructed according to the fan application scene information, so that heat flow coupling vibration simulation and turbulent vortex separation phenomenon simulation of the fan are realized, and the accuracy and efficiency of fan simulation are higher.

Description

Technical Field

[0001] The present invention relates to the technical field of fluid mechanics data processing, and particularly to a method for constructing a fluid mechanics simulation model applied to a fan. Background Art

[0002] In the early stage of fan design, it mainly relies on classical momentum theory, lift line theory and wind tunnel experiments. Although these methods can provide certain design guidance, their ability to describe complex flow phenomena (such as turbulence and separated flow) is limited, and the experimental cost is high and the cycle is long; and in the traditional automotive seat ventilation system, there is only a single blowing mode or suction mode, and it is impossible to achieve two ventilation modes simultaneously on the same set of seats; with the application of computational fluid dynamics (CFD) to the design of automotive seat fans, it becomes possible to handle three-dimensional steady flows. However, there are limitations in simulating unsteady flows and turbulent separations in automotive seat fans; although CFD technology is constantly refined, large eddy simulation (LES) and direct numerical simulation (DNS) are gradually applied to fan research, but it is still impossible to perform simulation according to the application scenarios of the fan, resulting in low accuracy and efficiency when the existing fan fluid mechanics simulation model performs fan simulation. Summary of the Invention

[0003] Based on this, it is necessary to provide a method for constructing a fluid mechanics simulation model applied to a fan to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for constructing a fluid mechanics simulation model applied to a fan, the method includes the following steps:

[0005] Step S1: Obtain fan drawing information; identify the geometric structure of the fan drawing information, where the geometric structure includes air inlets and outlets, air guide covers, air guide direction rotating shafts, and air bag interfaces;

[0006] Step S2: Judge the fan structure shape according to the air inlets and outlets and the air guide direction rotating shafts to obtain structure shape data; identify the corresponding positions of the air guide covers and air bag connection ports in the fan structure to generate structure position data; construct a fan structure model based on the structure shape data and the structure position data;

[0007] Step S3: Obtain fan application scenario information; determine the fan initial conditions and fan boundary conditions according to the fan application scenario information; perform a thermal-fluid coupling vibration simulation on the fan structure model based on the fan initial conditions to obtain a thermal-fluid coupling vibration result; perform a turbulent eddy separation phenomenon simulation on the fan structure model according to the fan boundary conditions to obtain a turbulent eddy separation result;

[0008] Step S4: Perform air flow simulation parameter mapping based on the thermal-fluid coupled vibration results and the turbulent eddy separation results, and construct a computational fluid dynamics (CFD) simulation model according to the air flow simulation parameters.

[0009] Through accurately identifying the geometric structures in the fan drawings (including the air inlets and outlets, air guide covers, air guide direction rotating shafts, and air bag interfaces), the present invention can provide an accurate geometric basis for the subsequent construction of the fan structure model, ensuring that the geometric accuracy of the model is consistent with the actual fan design, thereby laying a reliable foundation for the subsequent simulation analysis. Based on the judgment of the structural shapes of the air inlets and outlets and the air guide direction rotating shafts, and the identification of the positions of the air guide covers and air bag connection ports, the fan structure model can be accurately constructed. This process not only clarifies the overall structural layout of the fan but also provides an accurate geometric framework for the subsequent thermal-fluid coupled vibration simulation and turbulent eddy separation simulation. By obtaining the application scenario information of the fan (such as ambient temperature, air pressure, flow rate, etc.), the initial conditions and boundary conditions of the fan can be determined. Based on these conditions, the thermal-fluid coupled vibration simulation and turbulent eddy separation simulation can comprehensively simulate the thermal-fluid coupled characteristics and turbulent separation phenomena of the fan during actual operation, providing important data support for the optimization of the fan performance and fault diagnosis. Mapping the thermal-fluid coupled vibration results and the turbulent eddy separation results to the corresponding fluid and solid domain grid cells, and constructing a computational fluid dynamics (CFD) simulation model based on these data can achieve a refined simulation of the internal flow characteristics of the fan. By monitoring the dynamic changes in the velocity field, pressure field, and turbulent field, the performance of the fan under different working conditions can be accurately predicted, thereby providing a scientific basis for the design optimization and operation management of the fan. Therefore, through data processing technology and simulation technology, the present invention constructs a computational fluid dynamics (CFD) simulation model of the fan according to the fan application scenario information to realize the thermal-fluid coupled vibration simulation and turbulent eddy separation phenomenon simulation of the fan, thereby making the accuracy and efficiency of the fan simulation higher.

[0010] Preferably, step S1 includes the following steps:

[0011] Step S11: Obtain the two-dimensional image of the fan drawing; perform image two-dimensional information enhancement on the two-dimensional image of the fan drawing to obtain the fan drawing information.

[0012] Step S12: Mark the geometric elements of the fan drawing information to obtain the fan geometric elements.

[0013] Step S13: Identify the fan geometric contour of the fan geometric elements and map the fan geometric contour to a geometric structure.

[0014] Step S14: Perform functional identification of the fan structural components according to the geometric structure to obtain the air outlet, air guide cover, air guide direction rotating shaft, and air bag interface.

[0015] The present invention can significantly improve the clarity and readability of drawing information by obtaining the two-dimensional image of the fan drawing and performing image enhancement processing on it. The Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm is used to enhance the image, which can effectively improve the contrast of the image, making the details in the fan drawing more prominent. This provides a high-quality image basis for subsequent geometric element marking and geometric contour recognition, ensuring the accuracy and reliability of subsequent processing. Marking the geometric elements in the enhanced fan drawing information can clarify the key geometric structures in the drawing, such as the air inlet and outlet, the air guide cover, the air guide rotating shaft, and the air bag interface, etc. By marking these geometric elements, it provides a clear reference basis for subsequent geometric contour recognition and structural component function identification, ensuring the accurate correspondence of each component in the subsequent simulation model. By identifying the geometric contours of the fan geometric elements and mapping them to specific geometric structures, the two-dimensional information in the drawing can be converted into three-dimensional geometric structures that can be used for modeling, retaining the original design intention of the drawing, providing an accurate geometric framework for the subsequent construction of the fan structure model, and ensuring the consistency between the model and the actual fan design. Based on the identified geometric structures, functional identification of the structural components of the fan can clarify the specific functions of each component in the fan, such as the air outlet, the air guide cover, the air guide rotating shaft, and the air bag interface, etc. This process provides clear boundary conditions and functional definitions for subsequent fluid mechanics simulations, ensuring that the simulation model can accurately reflect the actual operating conditions of the fan and providing data support for fan performance optimization and fault diagnosis.

[0016] Preferably, step S2 includes the following steps:

[0017] Step S21: Determine the diameter, area, and angle of the air inlet and outlet to obtain the geometric parameters of the air inlet and outlet;

[0018] Step S22: Determine the length, position, and inclination angle of the air guide rotating shaft to obtain the geometric parameters of the air guide rotating shaft;

[0019] Step S23: Perform geometric space parameter mapping on the geometric parameters of the air inlet and outlet and the geometric parameters of the air guide rotating shaft to obtain geometric space layout data; perform structural shape fitting on the geometric space layout data to obtain the fan structural shape data;

[0020] Step S24: Extract the center cover line coordinates and the cover direction extension vector of the air guide cover to obtain the air guide cover position data;

[0021] Step S25: Extract the center point coordinates and the connection port normal vector of the air bag connection port to obtain the connection port position data;

[0022] Step S26: Calculate the spatial angle deviation between the air guide cover position data and the connection port position data to generate the structural position data;

[0023] Step S27: Construct a fan structure model based on the structural shape data and the structural position data.

[0024] Through accurately measuring the diameters of the air inlets and outlets, calculating the areas, and determining their angles, the present invention can provide accurate boundary conditions for the fan fluid dynamics simulation, directly affecting the aerodynamic performance of the fan and ensuring that the simulation model can truly reflect the actual operating state of the fan; the geometric parameters (length, position, and inclination angle) of the air guiding shaft are key influencing factors for the internal flow field of the fan. Determining these parameters can ensure that the direction and velocity distribution of the fluid flow in the simulation model are consistent with the actual working conditions, thereby improving the accuracy of the simulation; through geometric space parameter mapping and structural shape fitting, the geometric parameters of the air inlets and outlets and the air guiding shaft can be integrated into the overall structure of the fan, ensuring a reasonable spatial layout of each component of the fan and providing an accurate geometric framework for the subsequent fluid dynamics simulation; the position data of the air guiding cover (the coordinates of the center cover line and the extension direction vector) is the basis for its function realization in the fan; by extracting this data, it can be ensured that the position and direction of the air guiding cover in the simulation model are consistent with the actual design, thereby accurately simulating its guiding effect on the flow field; the position data of the air bag connection port (the center point coordinates and the normal vector) are key parameters for connecting the fan to the external system; accurately extracting this data can ensure that the position and direction of the connection port in the simulation model are consistent with the actual installation state, thereby ensuring the continuity and integrity of the flow field; by calculating the spatial angle deviation between the air guiding cover and the air bag connection port, the relative position relationship between the two in space can be quantified. This data is of great significance for optimizing the flow path of the internal flow field of the fan and reducing energy loss, ensuring that the simulation model can accurately reflect the flow field characteristics in actual operation; constructing a fan structure model by integrating the structural shape data and the structural position data can achieve a seamless conversion from geometric design to the simulation model, ensuring the geometric accuracy and functional integrity of the simulation model and providing a reliable physical basis for the subsequent fluid dynamics simulation.

[0025] Preferably, step S27 includes the following steps:

[0026] Step S271: Divide the surfaces of each component of the fan into multiple quadrilateral mesh units according to the structural shape data. The side length of the mesh units of the air inlets and outlets is 2 mm, the side length of the mesh units of the air guiding cover is 3 mm, and the side length of the mesh units of the air guiding shaft is 1 mm, obtaining shape meshing data;

[0027] Step S272: Convert the position coordinates of each component from the local coordinate system to the global coordinate system according to the structural position data. The origin of the global coordinate system is set at the geometric center of the fan, the X-axis is along the main axis direction of the fan, and the Y-axis and Z-axis are perpendicular to the X-axis, and the accuracy of the coordinate conversion is set to 0.01 mm, obtaining position global coordinate data;

[0028] Step S273: Stitch the shape meshed data and the position global coordinate data, and fill the gaps between components during the stitching process. The thickness of the filling material is 0.1 mm. The size deviation between the filled mesh cells and the adjacent mesh cells does not exceed 0.05 mm, and the mesh density of the filled area is 1.2 times that of the adjacent component mesh density, to obtain a preliminary model of the fan structure;

[0029] Step S274: Perform coloring rendering and light and shadow simulation on the preliminary model of the fan structure, where the rendering resolution is not lower than 1920×1080 pixels and the light and shadow simulation accuracy is not lower than 0.05 mm, to obtain the fan structure model.

[0030] In the present invention, meshing is performed on the surfaces of each component of the fan, which can provide an accurate geometric basis for fluid dynamics simulation; the side length of the mesh cells at the air inlet and outlet is 2 mm, the side length of the mesh cells of the air guide hood is 3 mm, and the side length of the mesh cells of the air guide to the rotating shaft is 1 mm. This differential meshing strategy can ensure the calculation accuracy of key areas and optimize the allocation of computing resources at the same time; converting the position coordinates of each component from the local coordinate system to the global coordinate system can ensure the geometric consistency of the overall fan structure; the origin of the global coordinate system is set at the geometric center of the fan, the X-axis is along the main axis direction of the fan, and the Y-axis and Z-axis are perpendicular to the X-axis. This coordinate conversion method can provide a unified reference framework for subsequent flow field analysis and ensure the accuracy of the simulation model; stitching the shape meshed data and the position global coordinate data and filling the gaps between components can eliminate the discontinuity in the geometric model; the thickness of the filling material is 0.1 mm, the size deviation between the filled mesh cells and the adjacent mesh cells does not exceed 0.05 mm, and the mesh density of the filled area is 1.2 times that of the adjacent component mesh density, which can ensure the continuity of the flow field and the stability of the calculation; performing coloring rendering and light and shadow simulation on the preliminary model of the fan structure can enhance the visualization effect of the model. The rendering resolution is not lower than 1920×1080 pixels, and the light and shadow simulation accuracy is not lower than 0.05 mm. This high-precision rendering and simulation can provide intuitive visual feedback for engineers, facilitating the analysis and optimization of the simulation results.

[0031] Preferably, the obtaining of the fan application scenario information in step S3 includes the following:

[0032] Measurement points are respectively set in front of, behind, and on the side of the fan installation position, and a temperature and humidity sensor is used to record the ambient temperature and humidity data respectively. The recording time is 5 minutes, 15 minutes, and 30 minutes after the fan starts;

[0033] Use a barometer to measure the air pressure data at the fan installation position. The measurement position is 2 meters directly above the fan, and the measurement is taken once per hour;

[0034] Measure the real-time rotational speed of the fan impeller using a rotational speed sensor. The sensor is installed on the outer edge of the fan impeller, and the measurement is taken at 5 minutes, 15 minutes, and 30 minutes after the fan starts.

[0035] Measure the wind speed at the outlet of the fan using an anemometer. The anemometer is installed 0.2 meters directly in front of the fan outlet, and the measurement is taken once every 10 minutes after the fan runs, with the number of measurements not less than 3 times.

[0036] Measure the input current and voltage when the fan is running using an ammeter and a voltmeter. The measurement is taken at 1 minute, 5 minutes, and 10 minutes after the fan starts, with an interval of 1 minute between each measurement.

[0037] In the present invention, by setting temperature and humidity sensors in front of, behind, and on the sides of the fan installation position, and recording the environmental temperature and humidity data at 5 minutes, 15 minutes, and 30 minutes after the fan starts, it can comprehensively reflect the temperature and humidity change law of the fan operating environment. This multi-point and multi-time scale monitoring method provides accurate environmental parameter support for the assessment of the fan's operating state; using a barometer to measure the air pressure once every hour at a position 2 meters directly above the fan can grasp the air pressure change of the fan operating environment in real time; the air pressure data is crucial for analyzing the aerodynamic performance and flow field characteristics of the fan, ensuring that the simulation model can accurately reflect the actual operating conditions; by installing a rotational speed sensor on the outer edge of the fan impeller and measuring the real-time rotational speed at 5 minutes, 15 minutes, and 30 minutes after the fan starts, the operating state of the fan can be accurately grasped. The rotational speed data is the key basis for evaluating the fan's performance and optimizing the operating parameters, ensuring that the fan operates efficiently under the design conditions; installing an anemometer 0.2 meters directly in front of the fan outlet and measuring the wind speed once every 10 minutes, with the number of measurements not less than 3 times. This high-frequency wind speed monitoring can capture the dynamic wind speed change at the fan outlet and provide important data support for the flow field analysis and performance optimization of the fan; by measuring the input current and voltage at 1 minute, 5 minutes, and 10 minutes after the fan starts, the energy consumption of the fan can be grasped in real time. The current and voltage data are the key parameters for evaluating the fan's operating efficiency and energy consumption level, providing data support for the energy-saving optimization and fault diagnosis of the fan.

[0038] Preferably, the determining the initial conditions and boundary conditions of the fan according to the fan application scenario information in step S3 includes:

[0039] Calculate the average value, maximum value, and minimum value of the temperature and humidity data to obtain the temperature and humidity parameterized data; mark the temperature and humidity parameterized data as the fan environmental parameters;

[0040] Calculate the average air pressure value of the air pressure data and mark it as the fan air pressure parameter;

[0041] Calculate the average rotational speed of the rotational speed data and mark it as the fan operating parameter;

[0042] Determine the wind speed fluctuation range of the wind speed data and label it as the wind turbine wind speed parameter;

[0043] Calculate the average power of the current and voltage data and label it as the wind turbine energy consumption parameter;

[0044] Determine the wind turbine environment parameter, the wind turbine operation parameter, and the wind turbine energy consumption parameter as the wind turbine initial conditions;

[0045] Determine the wind turbine air pressure parameter and the wind turbine wind speed parameter as the wind turbine boundary conditions.

[0046] The present invention statistically analyzes temperature and humidity data, calculates their average values, maximum values, and minimum values to obtain parameterized temperature and humidity data, converts the original time-series data into representative parameters, and can intuitively reflect the temperature and humidity characteristics of the fan operating environment; marks the parameterized temperature and humidity data as fan environmental parameters, provides accurate environmental boundary conditions for subsequent simulation models, and ensures that the models can accurately reflect the actual operating environment; calculates the average value of air pressure data and marks it as the fan air pressure parameter, which reflects the average air pressure level of the fan operating environment and is one of the indispensable boundary conditions in fluid mechanics simulation. By using the average air pressure value, it can ensure that the simulation model is consistent with the actual operating environment in terms of air pressure, thereby improving the accuracy and reliability of the simulation; calculates the average value of rotational speed data and marks it as the fan operating parameter; the average rotational speed is a key indicator for evaluating the fan operating state and reflects the actual operating speed of the fan impeller. Taking the average rotational speed as the fan operating parameter can provide accurate dynamic input conditions for fluid mechanics simulation and ensure that the simulation model can truly reflect the operating characteristics of the fan; determines the fluctuation range of wind speed data and marks it as the fan wind speed parameter; the wind speed fluctuation range reflects the dynamic change characteristics of the wind speed at the fan outlet and is an important parameter for evaluating the aerodynamic performance of the fan; by marking the wind speed parameter, it can provide the boundary condition of wind speed for the simulation model and ensure that the model can accurately simulate the aerodynamic characteristics of the fan; calculates the average power of current and voltage data and marks it as the fan energy consumption parameter; the average power reflects the energy consumption level during the fan operation and is an important indicator for evaluating the fan efficiency and economy; taking the average power as the energy consumption parameter can provide data support for the energy consumption analysis and optimization of the fan; determines the fan environmental parameters, fan operating parameters, and fan energy consumption parameters as the fan initial conditions. This process integrates the key parameters of the fan operating environment and its own operating state, providing comprehensive initial conditions for fluid mechanics simulation. By accurately setting the initial conditions, it can ensure that the simulation model is consistent with the actual operating conditions from the start-up stage, thereby improving the accuracy and reliability of the simulation; determines the fan air pressure parameter and the fan wind speed parameter as the fan boundary conditions. Air pressure and wind speed are the most critical boundary conditions in fluid mechanics simulation. By accurately setting these parameters, it can ensure that the flow field characteristics at the boundary of the simulation model match the actual operating environment.

[0047] Preferably, the thermal-fluid-structure interaction vibration simulation of the fan structure model based on the fan initial conditions in step S3 includes:

[0048] Divides the fan structure model into a fan fluid domain and a fan solid domain;

[0049] Performs mesh generation on the fan fluid domain, using tetrahedral meshes with a mesh edge length of 5 mm; performs mesh generation on the fan solid domain, using hexahedral meshes with a mesh edge length of 3 mm;

[0050] Input the initial conditions of the fan into the fluid domain and solid domain of the fan in the simulation software;

[0051] Start the simulation to simulate the thermo-fluid-structure interaction vibration response of the fan under the initial conditions;

[0052] In the fluid domain of the fan, use the Reynolds-averaged Navier-Stokes equations to calculate the fluid thermo-fluid characteristics, including the velocity field and pressure field, to obtain thermo-fluid simulation data;

[0053] In the solid domain of the fan, use the finite element method to calculate the structural vibration response of the fan, including the stress distribution and displacement field, to obtain vibration simulation data;

[0054] In the fluid domain and solid domain of the fan, perform a thermo-fluid-structure interaction simulation based on the thermo-fluid simulation data and vibration simulation data to obtain the thermo-fluid-structure interaction vibration results.

[0055] The present invention divides the fan structure model into a fluid domain and a solid domain, providing a clear physical boundary for subsequent fluid dynamics and structural dynamics simulations, ensuring that the interaction between the fluid and the solid can be accurately simulated, and laying a foundation for the thermo-fluid-structure interaction vibration simulation; using tetrahedral meshes (mesh side length 5 mm) for the fluid domain of the fan and hexahedral meshes (mesh side length 3 mm) for the solid domain can effectively balance the calculation accuracy and the use of computing resources. Tetrahedral meshes are suitable for complex fluid regions and can capture the detailed changes in the flow field; hexahedral meshes are suitable for solid structures and can improve the efficiency and accuracy of structural analysis; inputting the initial conditions of the fan (such as temperature, pressure, rotational speed, etc.) into the fluid domain and solid domain can ensure that the simulation model is consistent with the actual operating conditions from the start-up stage, providing an accurate initial state for subsequent thermo-fluid-structure interaction vibration simulations; calculating the thermo-fluid characteristics (velocity field and pressure field) of the fluid by the Reynolds-averaged Navier-Stokes equations (RANS) and using the finite element method to calculate the vibration response of the solid (stress distribution and displacement field) can comprehensively simulate the thermo-fluid-structure interaction vibration phenomenon during the operation of the fan; this two-way coupling simulation method can accurately reflect the complex physical processes inside the fan; performing a coupling calculation based on the thermo-fluid simulation data and vibration simulation data can provide key data support for the performance evaluation, optimization design, and fault diagnosis of the fan, ensuring the safety and efficiency of the fan during actual operation.

[0056] Preferably, the simulation of the turbulent vortex separation phenomenon on the fan structure model according to the fan boundary conditions in step S3 includes:

[0057] Divide the fluid domain of the fan into multiple grid cells with a mesh side length of 5 mm;

[0058] In the fluid domain of the fan, the Reynolds-averaged Navier-Stokes equations are used to calculate the turbulent kinetic energy data, and the fluid turbulent dissipation rate is determined based on the turbulent kinetic energy data;

[0059] In the fluid domain of the fan, the turbulent vortex separation phenomenon is identified based on the turbulent kinetic energy data and the fluid turbulent dissipation rate, and the location, size, and intensity of the occurrence of the turbulent vortex separation phenomenon are recorded to obtain the turbulent vortex separation data;

[0060] The turbulent kinetic energy data, the fluid turbulent dissipation rate, and the turbulent vortex separation data are used to generate the turbulent vortex separation result.

[0061] In the present invention, the fluid domain of the fan is divided into tetrahedral mesh elements with a side length of 5 mm, which can provide a high-precision geometric basis for fluid dynamics simulation, can effectively capture the detailed characteristics of fluid flow, especially the flow conditions in complex regions (such as near the impeller); the Reynolds-averaged Navier-Stokes equations (RANS) are used to calculate the turbulent kinetic energy data, and the fluid turbulent dissipation rate is determined based on the turbulent kinetic energy. The RANS equations can effectively reduce the computational cost by decomposing the instantaneous velocity into the mean velocity and the fluctuating velocity, while providing the average information of the turbulence; this method is applicable to complex turbulent problems in engineering practice and can provide a reliable turbulence model for fluid mechanics simulation; based on the turbulent kinetic energy data and the turbulent dissipation rate, the turbulent vortex separation phenomenon is identified, and its location, size, and intensity are recorded; the turbulent vortex separation is a key phenomenon in the fan flow field, and its location and intensity directly affect the aerodynamic performance and efficiency of the fan; by accurately identifying these parameters, it can provide a key basis for the optimal design of the fan; integrating the turbulent kinetic energy data, the turbulent dissipation rate, and the turbulent vortex separation data reflects the complex characteristics of the internal flow field of the fan, and can also provide detailed boundary conditions and initial conditions for subsequent fluid mechanics simulation. This data integration method can ensure the accuracy and reliability of the simulation model and provide a scientific basis for the performance evaluation and optimization of the fan.

[0062] Preferably, the airflow simulation parameter mapping based on the thermal-fluid coupling vibration result and the turbulent vortex separation result in step S4 includes:

[0063] Mark the temperature field, stress field, and displacement field data in the thermal-fluid coupling vibration result as thermal-fluid coupling vibration characteristics;

[0064] Determine the thermal-fluid coupling type data of the fan according to the thermal-fluid coupling vibration characteristics;

[0065] Mark the turbulent kinetic energy data, the turbulent dissipation rate data, and the location, size, and intensity data of the turbulent vortex separation phenomenon in the turbulent vortex separation result as turbulent vortex separation characteristics;

[0066] Determine the turbulent vortex type data of the fan according to the turbulent vortex separation characteristics;

[0067] Determine the fan simulation type parameters based on the fan heat - flow coupling type data and the fan turbulent eddy current type data, and output the air - flow simulation parameters.

[0068] In the present invention, the temperature field, stress field and displacement field data in the heat - flow coupling vibration results are marked as heat - flow coupling vibration characteristics, which can provide key physical field information for the fluid mechanics simulation of the fan. These characteristic data reflect the dynamic characteristics of the heat - flow coupling phenomenon during the operation of the fan, providing accurate input conditions for subsequent simulation analysis; determining the fan heat - flow coupling type data according to the heat - flow coupling vibration characteristics can classify and quantify the complex heat - flow coupling phenomenon, providing a clear heat - flow coupling type for the construction of the fan simulation model, ensuring that the model can accurately reflect the heat - flow coupling characteristics of the fan under different working conditions; marking the turbulent kinetic energy data, turbulent dissipation rate data and the position, size and intensity data of the turbulent eddy current separation phenomenon in the turbulent eddy current separation results as turbulent eddy current separation characteristics can provide detailed turbulent information for the fan flow field analysis, reflecting the physical characteristics of the turbulent eddy current separation phenomenon, providing a key basis for subsequent flow field optimization; determining the fan turbulent eddy current type data according to the turbulent eddy current separation characteristics can classify and quantify the turbulent eddy current separation phenomenon, providing a clear turbulent eddy current type for the construction of the fan simulation model, ensuring that the model can accurately reflect the turbulent characteristics inside the fan; determining the fan simulation type parameters based on the fan heat - flow coupling type data and the fan turbulent eddy current type data and outputting the air - flow simulation parameters can provide comprehensive parameter support for the construction of the fan fluid mechanics simulation model, ensuring the accuracy of the simulation model in terms of heat - flow coupling and turbulent characteristics.

[0069] Preferably, the constructing a fluid mechanics simulation model according to the air - flow simulation parameters in step S4 includes:

[0070] Extract the heat - flow coupling vibration results from the air - flow simulation parameters, and map the heat - flow coupling vibration results to the solid - domain grid cells to obtain vibration mapping data;

[0071] Smooth the vibration mapping data to obtain coupled - simulation processed data;

[0072] Extract the turbulent eddy current separation results from the air - flow simulation parameters, and map the turbulent eddy current separation results to the fluid - domain grid cells to obtain turbulent eddy current mapping data;

[0073] Perform position correction on the turbulent eddy current mapping data to obtain turbulent eddy current simulation corrected data;

[0074] Construct an initial framework of the fluid mechanics simulation according to the coupled - simulation processed data and the turbulent eddy current simulation corrected data;

[0075] Set the simulation parameters of the initial framework of the fluid mechanics simulation, including simulation time, time step and convergence conditions;

[0076] Simulate the flow characteristics of the air flow inside the fan, monitor and record the dynamic changes of the velocity field, pressure field and turbulence field, and obtain a fluid dynamics simulation model.

[0077] The present invention extracts the thermal-fluid coupling vibration results from the air flow simulation parameters, maps them to the solid domain grid cells, combines the complex thermal-fluid coupling vibration characteristics with the geometric structure of the solid domain, provides accurate initial field data for subsequent coupled simulations, and ensures that the vibration response of the solid domain can accurately reflect the thermal-fluid coupling effect; performs smoothing processing on the vibration mapping data to obtain coupled simulation processing data; the smoothing processing can eliminate the noise and discontinuities in the data, improve the stability and usability of the data, and thus provide higher-quality input conditions for the coupled simulation; extracts the turbulent vortex separation results from the air flow simulation parameters and maps them to the fluid domain grid cells to obtain turbulent vortex mapping data. This process combines the turbulent vortex separation characteristics with the geometric structure of the fluid domain, provides accurate initial field data for subsequent turbulence simulations, and ensures that the turbulence characteristics of the fluid domain can accurately reflect the actual flow conditions; corrects the position of the turbulent vortex mapping data; the position correction can ensure that the position of the turbulent vortex separation phenomenon in the fluid domain is consistent with the actual flow conditions and improve the accuracy of the turbulence simulation; constructs an initial framework for fluid dynamics simulation based on the coupled simulation processing data and the turbulent vortex simulation correction data, integrates the key data of thermal-fluid coupling vibration and turbulent vortex separation, provides comprehensive initial conditions for fluid dynamics simulation, and ensures that the simulation model can accurately reflect the complex flow field characteristics inside the fan; sets the simulation parameters of the initial framework for fluid dynamics simulation, including the simulation time, time step and convergence conditions. The reasonable setting of these parameters can ensure the stability and calculation efficiency of the simulation process, and at the same time ensure the accuracy and reliability of the simulation results; simulate the flow characteristics of the air flow inside the fan, monitor and record the dynamic changes of the velocity field, pressure field and turbulence field, and obtain a fluid dynamics simulation model, which can comprehensively reflect the flow characteristics inside the fan and provide a scientific basis for the performance evaluation, optimal design and fault diagnosis of the fan. Brief Description of the Drawings

[0078] Figure 1 It is a schematic flow chart of the steps of a method for constructing a fluid dynamics simulation model applied to a fan;

[0079] Figure 2 It is Figure 1 a detailed implementation step flow chart of step S1 in

[0080] Figure 3 It is Figure 1 a detailed implementation step flow chart of step S2 in

[0081] The realization, functional characteristics and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the drawings. Detailed implementation mode

[0082] The technical method of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative work belong to the scope of protection of the present invention.

[0083] In addition, the accompanying drawings are only schematic diagrams of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor methods and / or microcontroller methods.

[0084] It should be understood that although terms such as "first" and "second" may be used here to describe each unit, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit can be called the second unit, and similarly the second unit can be called the first unit. The term "and / or" used here includes any and all combinations of one or more of the listed associated items.

[0085] To achieve the above object, please refer to Figures 1 to 3 , a method for constructing a hydrodynamic simulation model applied to a fan, the method comprising the following steps:

[0086] Step S1: Obtain the fan drawing information; identify the geometric structure of the fan drawing information, where the geometric structure includes the air inlet and outlet, the air guide cover, the air guide rotating shaft, and the air bag interface;

[0087] Step S2: Judge the fan structure shape according to the air inlet and outlet and the air guide rotating shaft to obtain the structure shape data; identify the corresponding positions of the air guide cover and the air bag connection port of the fan structure to generate the structure position data; construct a fan structure model based on the structure shape data and the structure position data;

[0088] Step S3: Obtain the fan application scenario information; determine the fan initial conditions and the fan boundary conditions according to the fan application scenario information; perform a thermal-fluid coupling vibration simulation on the fan structure model based on the fan initial conditions to obtain a thermal-fluid coupling vibration result; perform a turbulent vortex separation phenomenon simulation on the fan structure model according to the fan boundary conditions to obtain a turbulent vortex separation result;

[0089] Step S4: Perform air flow simulation parameter mapping based on the coupled heat-flow vibration results and the turbulent eddy separation results, and construct a computational fluid dynamics (CFD) simulation model according to the air flow simulation parameters.

[0090] By accurately identifying the geometric structures in the fan drawings (including the air inlets and outlets, the air guide hood, the air guide rotating shaft, and the air bag interface), the present invention can provide an accurate geometric basis for the subsequent construction of the fan structure model, ensuring that the geometric accuracy of the model is consistent with the actual fan design, thereby laying a reliable foundation for the subsequent simulation analysis. Based on the judgment of the structural shapes of the air inlets and outlets and the air guide rotating shaft, and the identification of the positions of the air guide hood and the air bag connection port, the fan structure model can be accurately constructed. This process not only clarifies the overall structural layout of the fan but also provides an accurate geometric framework for the subsequent coupled heat-flow vibration simulation and turbulent eddy separation simulation. By obtaining the application scenario information of the fan (such as ambient temperature, air pressure, flow rate, etc.), the initial conditions and boundary conditions of the fan can be determined. Based on these conditions, the coupled heat-flow vibration simulation and turbulent eddy separation simulation can comprehensively simulate the coupled heat-flow characteristics and turbulent separation phenomenon of the fan during actual operation, providing important data support for the optimization of the fan performance and fault diagnosis. Mapping the coupled heat-flow vibration results and the turbulent eddy separation results to the corresponding fluid and solid domain grid cells and constructing a CFD simulation model based on these data can achieve a refined simulation of the internal flow characteristics of the fan. By monitoring the dynamic changes in the velocity field, pressure field, and turbulent field, the performance of the fan under different operating conditions can be accurately predicted, providing a scientific basis for the design optimization and operation management of the fan. Therefore, through data processing technology and simulation technology, the present invention constructs a CFD simulation model of the fan according to the application scenario information of the fan to realize the coupled heat-flow vibration simulation and turbulent eddy separation phenomenon simulation of the fan, thereby making the fan simulation more accurate and efficient.

[0091] In an embodiment of the present invention, with reference to Figure 1 As shown, it is a schematic flow chart of the steps of a method for constructing a CFD simulation model of a fan according to the present invention. In this example, the method for constructing a CFD simulation model of a fan includes the following steps:

[0092] Step S1: Obtain fan drawing information; identify the geometric structures in the fan drawing information, where the geometric structures include the air inlets and outlets, the air guide hood, the air guide rotating shaft, and the air bag interface.

[0093] In the embodiments of the present invention, the drawing file of the fan is opened through computer-aided design (CAD) software, and the file is stored in the DWG or DXF format. By using the layer management function of the CAD software, different geometric structures in the drawing are placed in independent layers respectively, so as to facilitate subsequent identification and extraction. Specifically, the air inlet and outlet are placed in layer 1, the air guide cover is placed in layer 2, the air guide to the rotating shaft is placed in layer 3, and the air bag interface is placed in layer 4; Subsequently, the geometric analysis tool of the CAD software is used to extract the features of the geometric structures in each layer. For the air inlet and outlet, the coordinate information of its contour line is extracted, including the starting point coordinates (X1, Y1), the ending point coordinates (X2, Y2) and the length L1 of the contour line. For the air guide cover, its shape features are extracted, including the center point coordinates (X3, Y3), the radius R1 and the angle θ1 with the horizontal direction. For the air guide to the rotating shaft, the coordinate information of its center line is extracted, including the starting point coordinates (X4, Y4), the ending point coordinates (X5, Y5) and the length L2 of the center line. For the air bag interface, the interface center point coordinates (X6, Y6) and the interface diameter D1 are extracted; After extracting the geometric features, the data export function of the CAD software is used to export the above feature information in the format of a text file or a CSV file for subsequent processing and analysis. In the exported data file, each line corresponds to the feature information of a geometric structure, and the fields include parameters such as the structure name, coordinate information, length, radius, angle and diameter

[0094] Step S2: Judge the structural shape of the fan according to the air inlet and outlet and the air guide to the rotating shaft to obtain the structural shape data; Identify the corresponding positions of the air guide cover and the air bag connection port in the fan structure to generate the structural position data; Construct a fan structure model based on the structural shape data and the structural position data;

[0095] In the embodiments of the present invention, the geometric feature data of the air inlet / outlet and the air guiding direction rotating shaft extracted in step S1 are analyzed using CAD software to determine the structural shape of the fan. By calculating the distance L between the center coordinates of the air inlet / outlet and the center coordinates of the air guiding direction rotating shaft, and the length L2 of the air guiding direction rotating shaft, and combining with the contour line length L1 of the air inlet / outlet, according to the preset fan structural shape judgment rules, the structural shape type of the fan is determined. For example, when the ratio of L to L2 is between 0.5 and 1.5 and L1 is greater than L2, it is judged as an axial flow fan structure; when L is less than 0.5 times of L2 and L1 is less than L2, it is judged as a centrifugal fan structure; the judgment result is stored in the form of structural shape data, including the fan type identifier and related geometric parameters; the geometric feature data of the air guiding cover and the air bag interface are processed to identify their corresponding positions in the fan structure. By calculating the distance D between the center point coordinates (X3, Y3) of the air guiding cover and the center point coordinates (X6, Y6) of the air bag interface, and the angle θ1 between the air guiding cover and the horizontal direction, and combining with the diameter D1 of the air bag interface, according to the preset position identification rules, the relative position relationship between the air guiding cover and the air bag interface is determined. For example, when D is less than 1.2 times of D1 and θ1 is between 0° and 30°, it is judged that the air guiding cover and the air bag interface are in a direct connection state; when D is greater than 1.2 times of D1 and θ1 is greater than 30°, it is judged that the air guiding cover and the air bag interface are in an indirect connection state. The identification result is stored in the form of structural position data, including the relative position identifier and related geometric parameters; based on the above obtained structural shape data and structural position data, the structural model of the fan is constructed using the 3D modeling function of CAD software. According to the fan type identifier, the corresponding modeling template is selected, and the related geometric parameters are input into the modeling software to generate the 3D structural model of the fan.

[0096] Step S3: Obtain the fan application scenario information; determine the fan initial conditions and the fan boundary conditions according to the fan application scenario information; perform a thermal-fluid coupling vibration simulation on the fan structural model based on the fan initial conditions to obtain the thermal-fluid coupling vibration result; perform a turbulent eddy separation phenomenon simulation on the fan structural model according to the fan boundary conditions to obtain the turbulent eddy separation result;

[0097] In the embodiments of the present invention, first, professional simulation software (such as ANSYS Fluent or Simcenter STAR-CCM+) is used to obtain the fan application scenario information. The specific operations include inputting the working environment parameters of the fan (such as ambient temperature, humidity, physical properties of the working medium) and operating conditions (such as rotational speed, flow rate, pressure, etc.). These parameters are set through the input interface of the software. According to the fan application scenario information, the initial conditions and boundary conditions of the fan are determined. The initial conditions include the initial temperature of the fluid, the velocity field distribution, and the turbulence parameters. For example, the initial temperature can be set to 20 °C, and the initial velocity field is calculated based on the rated flow rate and the inlet area of the fan. The boundary conditions are set according to the inlet and outlet characteristics of the fan. For example, the inlet boundary is set as a velocity inlet, and the velocity value is calculated based on the flow rate and the inlet area; the outlet boundary is set as a pressure outlet, and the pressure value is set according to the outlet pressure requirement of the fan. Based on the initial conditions of the fan, a thermal-fluid-structure interaction vibration simulation is carried out on the fan structure model. In ANSYS Fluent, the coupling interface between the fluid domain and the solid domain is set. The turbulence model (such as the k-ε model) is used in the fluid domain to simulate the fluid flow, and the transient structural analysis module is used in the solid domain to calculate the structural vibration. The simulation parameters include the time step (such as 0.01 s), the total simulation time (such as 10 s), and the convergence criterion (such as the residual being less than 10 - ³). The thermal-fluid-structure interaction vibration results are obtained through the simulation, including the temperature field, the velocity field, and the stress and displacement distributions of the structure. According to the fan boundary conditions, a separated turbulent flow phenomenon simulation is carried out on the fan structure model. In Simcenter STAR-CCM+, the detached eddy simulation (DES) method is adopted, and the DES turbulence model based on SST k-ω is set. In the simulation, the flow field is meshed, and the mesh quality in the near-wall region is focused on to ensure the accurate capture of the separated eddies. The separated turbulent flow results are obtained through the simulation, including the eddy structure, the separation point position, and the pressure and velocity distributions of the fluid.

[0098] Step S4: Map the airflow simulation parameters based on the thermal-fluid-structure interaction vibration results and the separated turbulent flow results, and construct a computational fluid dynamics simulation model according to the airflow simulation parameters.

[0099] In the embodiments of the present invention, key parameters are extracted from the thermal-fluid coupling vibration simulation results, including the temperature field distribution, velocity field distribution, structural stress, and displacement distribution. The eddy current structure, separation point position, and pressure and velocity distribution of the fluid are extracted from the turbulent eddy current separation simulation results; the above-extracted parameters are mapped to construct the input parameters of the fluid mechanics simulation model. For the temperature field and velocity field, they are input into the fluid mechanics simulation model as the initial conditions and boundary conditions of the fluid domain. For the structural stress and displacement distribution, they are used as the initial conditions of the solid domain for fluid-structure interaction simulation; in ANSYS Fluent or Simcenter STAR-CCM+, the fluid mechanics simulation model is set according to the mapped parameters, the fluid domain is meshed, and it is ensured that the mesh quality meets the requirements of turbulent simulation, especially the mesh quality in the near-wall region; a turbulence model is set, for example, the SST k-ω turbulence model is adopted to adapt to complex flow phenomena, the boundary conditions of the fluid domain are defined, including the inlet velocity, outlet pressure, and wall conditions; the fluid-structure interaction function is enabled to couple the stress and displacement distribution of the solid domain with the flow parameters of the fluid domain; the simulation solver parameters are set, including the time step, number of iterations, and convergence criterion, the simulation is run, and the residual change during the calculation process is monitored to ensure the convergence of the simulation; the simulation results are output, including the velocity field, pressure field, temperature field of the fluid, and the stress and displacement distribution of the solid.

[0100] As an example of the present invention, refer to Figure 2 As shown, in this example, step S1 includes:

[0101] Step S11: Obtain the two-dimensional image of the fan drawing; perform two-dimensional information enhancement on the two-dimensional image of the fan drawing to obtain the fan drawing information;

[0102] Step S12: Mark the geometric elements of the fan drawing information to obtain the fan geometric elements;

[0103] Step S13: Identify the fan geometric profile of the fan geometric elements and map the fan geometric profile to a geometric structure;

[0104] Step S14: Perform functional identification of the fan structural components according to the geometric structure to obtain the air outlet, air guide cover, air guide rotating shaft, and air bag interface.

[0105] In the embodiments of the present invention, a two-dimensional image of the fan drawing is obtained through a scanner or a high-resolution camera and saved in the JPEG or PNG format. To enhance the two-dimensional information of the image, image processing software (such as Adobe Photoshop or GIMP) is used to preprocess the image. The specific operations include adjusting the brightness and contrast of the image to ensure that the lines and text on the drawing are clearly visible. Through the "Auto Contrast" function, the gray scale range of the image is adjusted to the maximum, and at the same time, the "Sharpen" tool is used to enhance the edge sharpness of the lines. In addition, the "Denoise" function is used to remove the noise points in the image to ensure the purity of the image. Geometric element marking is performed on the preprocessed fan drawing image. A professional drawing software (such as AutoCAD or Inkscape) is used to open the image file and import it as a background layer. A new layer is created in the software for marking geometric elements. By manual drawing, the line tool is used to mark the straight line elements in the drawing, the arc tool is used to mark the arc elements, and the rectangle tool is used to mark the rectangular elements. During the marking process, ensure that the starting and ending coordinates of each geometric element are accurately recorded, and a unique identifier is assigned to each geometric element, such as "Line 1", "Arc 2", etc. Identify the geometric contours of the fan geometric elements and map them to geometric structures. Using the contour extraction function of the image processing software, contour recognition is performed on the marked geometric elements. The specific operation is as follows: Select each geometric element in the image, use the "Contour Extraction" tool of the software, and set a threshold (for example, the gray scale threshold is 128) to distinguish the geometric element from the background. The extracted contours will be saved in vector format to ensure their editability and high precision. Subsequently, the extracted contour data is imported into the CAD software, and the discrete contour points are fitted into smooth geometric curves through the "Fit Curve" function to obtain the geometric structure of the fan. Function identification of the fan structural components is performed according to the geometric structure. In the CAD software, the geometric structure is functionally classified according to the design specifications and drawing markings of the fan. For example, by measuring the size and shape characteristics of the geometric structure and combining the marking information in the fan drawing, components such as the air outlet, air guide cover, air guide rotating shaft, and air bag interface are identified. The specific operation is as follows: Use the "Measurement" tool to measure parameters such as the length, angle, and area of the geometric structure, and compare these parameters with the standard characteristics of the fan components. For example, if a certain geometric structure is circular with a diameter of 200 mm, it is identified as the air outlet; if a certain geometric structure is cylindrical with an axis, it is identified as the air guide rotating shaft. Finally, the function identification of each component is attached to the corresponding geometric structure in text form and saved in the CAD file format.

[0106] As an example of the present invention, refer to Figure 3 as shown, in this example, step S2 includes:

[0107] Step S21: Determine the diameter, area, and angle of the air inlet and outlet to obtain the geometric parameters of the air inlet and outlet;

[0108] Step S22: Determine the length, position, and inclination angle of the air guiding shaft to obtain the geometric parameters of the air guiding shaft;

[0109] Step S23: Perform geometric space parameter mapping on the geometric parameters of the air inlet and outlet and the geometric parameters of the air guiding shaft to obtain geometric space layout data; perform structural shape fitting on the geometric space layout data to obtain the fan structural shape data;

[0110] Step S24: Extract the center cover line coordinates and the cover direction extension vector of the air guiding cover to obtain the air guiding cover position data;

[0111] Step S25: Extract the center point coordinates and the connection port normal vector of the air bag connection port to obtain the connection port position data;

[0112] Step S26: Calculate the spatial angle deviation between the air guiding cover position data and the connection port position data to generate the structural position data;

[0113] Step S27: Construct a fan structure model based on the fan structural shape data and the structural position data.

[0114] In the embodiments of the present invention, first, a measuring tool (such as a tape measure or a vernier caliper) is used to measure the dimensions of the air inlets and outlets on the fan drawing. For a circular air outlet, its diameter is measured (denoted as D_inlet and D_outlet), and the area of the circular air outlet is calculated; for a rectangular air outlet, its length and width are measured, and the area is the product of the length and the width. At the same time, a protractor is used to measure the angles between the centerlines of the air inlets and outlets and the horizontal direction (denoted as θ_inlet and θ_outlet), so as to obtain the geometric parameters of the air inlets and outlets; the geometric parameters of the air guiding direction rotating shaft are determined. A measuring tool is used to measure the length of the rotating shaft (denoted as L_shaft), and its position coordinates in the fan structure are determined by a coordinate measuring instrument (denoted as X_shaft, Y_shaft, Z_shaft); a protractor is used to measure the inclination angle of the rotating shaft with respect to the horizontal direction (denoted as α_shaft), and the determination of the geometric parameters of the air guiding direction rotating shaft is completed; the geometric parameters of the air inlets and outlets and the geometric parameters of the air guiding direction rotating shaft are subjected to geometric space parameter mapping. In a three-dimensional modeling software (such as SolidWorks or AutoCAD), according to the measured parameters, three-dimensional models of the air inlets and outlets and the air guiding direction rotating shaft are created and placed at the corresponding coordinate positions; through the fitting function of the software, combined with the overall structure of the fan, the spatial layout of each component is adjusted to generate the geometric space layout data of the fan. Further, using the fitting tool of the software, the geometric space layout is optimized to obtain the fan structure shape data; the geometric position data of the air guiding cover is extracted. A coordinate measuring instrument is used to determine the coordinates of the center cover line of the air guiding cover (denoted as X_hood, Y_hood, Z_hood), and the cover direction extension direction vector is calculated through a vector analysis tool (denoted as V_hood) to obtain the position data of the air guiding cover; the geometric position data of the air bag connection port is extracted. A coordinate measuring instrument is used to determine the coordinates of the center point of the connection port (denoted as X_port, Y_port, Z_port), and the normal vector of the connection port is calculated through a vector analysis tool (denoted as N_port) to obtain the position data of the connection port; the spatial angle deviation between the position data of the air guiding cover and the position data of the connection port is calculated. In the three-dimensional modeling software, a vector analysis tool is used to calculate the included angle between the air guiding cover extension direction vector (V_hood) and the connection port normal vector (N_port) to generate the structure position data; based on the structure shape data and the structure position data, using the assembly function of the three-dimensional modeling software, each component is assembled according to the calculated geometric parameters and spatial position relationships, and finally a complete fan structure model is constructed.

[0115] Preferably, step S27 includes the following steps:

[0116] Step S271: Divide the surfaces of each component of the fan into multiple quadrilateral mesh units according to the structural shape data. The side length of the mesh units at the air inlet and outlet is 2 mm, the side length of the mesh units of the air guide cover is 3 mm, and the side length of the mesh units of the air guide to the rotating shaft is 1 mm, to obtain the shape meshing data;

[0117] Step S272: Convert the position coordinates of each component from the local coordinate system to the global coordinate system according to the structural position data. The origin of the global coordinate system is set at the geometric center of the fan, the X-axis is along the main axis of the fan, and the Y-axis and Z-axis are perpendicular to the X-axis. The accuracy of the coordinate conversion is set to 0.01 mm, to obtain the position global coordinate data;

[0118] Step S273: Perform data splicing on the shape meshing data and the position global coordinate data, and fill the gaps between components during the splicing process. The thickness of the filling material is 0.1 mm, the size deviation between the filled mesh units and the adjacent mesh units does not exceed 0.05 mm, and the mesh density of the filling area is 1.2 times that of the adjacent components, to obtain the preliminary fan structure model;

[0119] Step S274: Perform coloring rendering and lighting simulation on the preliminary fan structure model, where the resolution of the rendering is not less than 1920×1080 pixels, and the lighting simulation accuracy is not less than 0.05 mm, to obtain the fan structure model.

[0120] In the embodiments of the present invention, a three-dimensional modeling software (such as ANSYS Meshing or SOLIDWORKS) is used to perform mesh division on the surfaces of each component of the fan. According to the structural shape data, the surfaces of the air inlet and outlet are divided into quadrilateral mesh units with a side length of 2 mm, the surface of the air guide cover is divided into quadrilateral mesh units with a side length of 3 mm, and the surface of the air guide rotating shaft is divided into quadrilateral mesh units with a side length of 1 mm. Through the mesh division function of the software, the corresponding mesh size parameters are set to complete the meshing process of each component and obtain the shape meshing data. Using the coordinate transformation function of the three-dimensional modeling software, the position coordinates of each component are transformed from the local coordinate system to the global coordinate system. The origin of the global coordinate system is set at the geometric center of the fan, the X-axis is along the main axis of the fan, and the Y-axis and Z-axis are perpendicular to the X-axis. The accuracy of the coordinate transformation is set to 0.01 mm, and through the precise calculation function of the software, the transformation of the position coordinates of each component is completed to obtain the position global coordinate data. The shape meshing data and the position global coordinate data are subjected to data splicing. In the three-dimensional modeling software, a data splicing tool is used to accurately align the mesh models of each component according to the global coordinates. During the splicing process, the gaps between the components are filled, the thickness of the filling material is set to 0.1 mm, the size deviation between the filled mesh units and the adjacent mesh units is controlled to not exceed 0.05 mm, and the mesh density of the filling area is set to 1.2 times that of the adjacent components. Finally, a preliminary model of the fan structure is obtained. The preliminary model of the fan structure is subjected to coloring rendering and light and shadow simulation. Using the rendering function of the three-dimensional modeling software, the rendering resolution is set to not less than 1920×1080 pixels, and the light and shadow simulation accuracy is set to not less than 0.05 mm. Through the material editor and light and shadow setting tools of the software, appropriate materials and light and shadow effects are added to the model to complete the final visualization process of the fan structure model.

[0121] Preferably, the obtaining of the fan application scenario information in step S3 includes the following:

[0122] Measurement points are respectively set in front of, behind, and on the side of the fan installation position, and temperature and humidity sensors are used to respectively record the ambient temperature and humidity data, and the recording time is 5 minutes, 15 minutes, and 30 minutes after the fan is started;

[0123] A barometer is used to measure the air pressure data at the fan installation position, the measurement position is 2 meters directly above the fan, and the measurement time is once per hour;

[0124] A rotational speed sensor is used to measure the real-time rotational speed of the fan impeller, the sensor is installed on the outer edge of the fan impeller, and the measurement time is 5 minutes, 15 minutes, and 30 minutes after the fan is started;

[0125] Use an anemometer to measure the wind speed at the outlet of the fan. The anemometer is installed 0.2 meters directly in front of the fan outlet. The measurement is taken every 10 minutes after the fan starts running, and the number of measurements is not less than 3 times.

[0126] Use an ammeter and a voltmeter to measure the input current and voltage when the fan is running. The measurements are taken 1 minute, 5 minutes, and 10 minutes after the fan starts, with an interval of 1 minute between each measurement.

[0127] In the embodiments of the present invention, temperature and humidity sensors are respectively installed in front of, behind, and on the sides of the fan installation position. The sensors adopt high-precision models, with a temperature measurement range of -20°C to +60°C and an accuracy of ±0.5°C; the humidity measurement range is 0% to 100% RH, and the accuracy is ±3%. The sensors are fixed at a predetermined position through brackets to ensure that the sensing parts of the sensors are not interfered by the outside world, and the installation height is uniformly 1.5 meters from the ground. A data acquisition module (such as a collector with an RS485 interface) is used to connect the sensors, and the sampling frequency of the acquisition module is set to once per second to ensure the real-time nature of the data. The temperature and humidity data collected are stored in a local memory through the data acquisition module, and the data recording time points are set to 5 minutes, 15 minutes, and 30 minutes after the fan starts. The collected data are transmitted to a monitoring system through a wireless communication module (such as a Wi-Fi or 4G module), and the monitoring system stores and analyzes the data; a barometer is installed 2 meters directly above the fan. The barometer adopts a high-precision semiconductor barometric pressure sensor, with a measurement range of 300 hPa to 1100 hPa and an accuracy of ±0.1 hPa. The barometer is fixed directly above the fan using a mounting bracket to ensure that the sensor is horizontally installed and not interfered by outside airflows; the barometer is also connected to the data acquisition module, and the acquisition frequency is set to once per hour; the collected barometric pressure data are stored in a local memory and transmitted to the monitoring system through a wireless communication module; a non-contact photoelectric tachometer sensor is installed on the outer edge of the fan impeller. The sensor adopts a reflective photoelectric sensor, with a measurement range of 0 to 10,000 r / min and an accuracy of ±0.1%. The photoelectric sensor is fixed on the outer edge of the impeller using a special sensor bracket to ensure that the beam of the sensor can accurately irradiate the reflection mark on the impeller. The sensor is connected to the data acquisition module, and the acquisition frequency is set to once per second. The data acquisition module records the rotational speed data at 5 minutes, 15 minutes, and 30 minutes after the fan starts, and stores and transmits the data to the monitoring system; an anemometer is installed at a position 0.2 meters directly in front of the fan outlet.The anemometer uses a thermal anemometer sensor with a measurement range of 0 to 30 m / s and an accuracy of ±0.1 m / s; use a bracket to fix the anemometer directly in front of the air outlet to ensure that the measurement direction of the sensor is consistent with the air outlet direction and is not interfered by other airflows; set the sampling frequency of the data acquisition module to once per second, record the wind speed data every 10 minutes after the fan starts running, with the number of measurements not less than 3 times, store the collected wind speed data and transmit it to the monitoring system; install a high-precision digital ammeter and voltmeter at the power input end of the fan, the measurement range of the ammeter is 0 to 10 A, and the accuracy is ±0.5%; the measurement range of the voltmeter is 0 to 250 V, and the accuracy is ±0.2%, connect the ammeter and voltmeter to the power input end of the fan through wires and ensure that the connection is firm to avoid poor contact; use the data acquisition module to connect the ammeter and voltmeter, and set the acquisition frequency to once per second; record the current and voltage data at 1 minute, 5 minutes, and 10 minutes after the fan starts, with a measurement interval of 1 minute each time, store the collected current and voltage data and transmit it to the monitoring system.

[0128] Preferably, the determination of the initial conditions and boundary conditions of the fan according to the fan application scenario information in step S3 includes:

[0129] Calculate the average value, maximum value, and minimum value of the temperature and humidity data to obtain the temperature and humidity parameterized data; mark the temperature and humidity parameterized data as the fan environmental parameters;

[0130] Calculate the average air pressure value of the air pressure data and mark it as the fan air pressure parameter;

[0131] Calculate the average rotational speed of the rotational speed data and mark it as the fan operating parameter;

[0132] Determine the wind speed fluctuation range of the wind speed data and mark it as the fan wind speed parameter;

[0133] Calculate the average power of the current and voltage data and mark it as the fan energy consumption parameter;

[0134] Determine the fan environmental parameters, fan operating parameters, and fan energy consumption parameters as the initial conditions of the fan;

[0135] Determine the fan air pressure parameter and the fan wind speed parameter as the boundary conditions of the fan.

[0136] In the embodiments of the present invention, calculation of temperature and humidity parameterized data: Extract the temperature and humidity data at 5 minutes, 15 minutes, and 30 minutes after the fan starts from the monitoring system, and record them as the temperature data set {T1, T2, T3} and the humidity data set {H1, H2, H3} respectively. Use data processing software (such as Excel or MATLAB) to calculate the average value (T_avg), maximum value (T_max), and minimum value (T_min) of the temperature data set, as well as the average value (H_avg), maximum value (H_max), and minimum value (H_min) of the humidity data set. The specific formulas are: Average value: T_avg = (T1 + T2 + T3) / 3, H_avg=(H1+H2+H3) / 3; Maximum value: T_max = max(T1, T2, T3), H_max = max(H1, H2, H3); Minimum value: T_min = min(T1, T2, T3), H_min = min(H1, H2, H3). Mark the calculated temperature and humidity parameterized data {T_avg, T_max, T_min, H_avg, H_max, H_min} as the fan environmental parameters. Calculation of air pressure parameters: Extract the air pressure data during the operation of the fan from the monitoring system, and record it as the air pressure data set {P1, P2, ..., Pn}, where n is the number of measurements. Use data processing software to calculate the average value (P_avg) of the air pressure data set, and the formula is: P_avg = (P1 + P2 + ... + Pn) / n. Mark the calculated average air pressure value P_avg as the fan air pressure parameter. Calculation of rotational speed parameters: Extract the rotational speed data at 5 minutes, 15 minutes, and 30 minutes after the fan starts from the monitoring system, and record it as the rotational speed data set {R1, R2, R3}. Use data processing software to calculate the average value (R_avg) of the rotational speed data set, and the formula is: R_avg = (R1 + R2 + R3) / 3. Mark the calculated average rotational speed R_avg as the fan operation parameter. Calculation of wind speed parameters: Extract the wind speed data during the operation of the fan from the monitoring system, and record it as the wind speed data set {V1, V2, ..., Vm}, where m is the number of measurements. Use data processing software to determine the maximum value (V_max) and minimum value (V_min) of the wind speed data set, and the formulas are: V_max = max(V1, V2, ..., Vm), V_min = min(V1, V2, ..., Vm). Calculate the wind speed fluctuation range (ΔV), and the formula is: ΔV = V_max - V_min. Mark the calculated wind speed fluctuation range ΔV as the fan wind speed parameter. Calculation of energy consumption parameters: Extract the current data {I1, I2, I3} and voltage data {U1, U2, U3} at 1 minute, 5 minutes, and 10 minutes after the fan starts from the monitoring system.Use data processing software to calculate the average value of the current data set (I_avg) and the average value of the voltage data set (U_avg) using the formulas: I_avg = (I1 + I2 + I3) / 3 and U_avg = (U1 + U2 + U3) / 3. Calculate the average power P_avg according to the formula P = U_avg × I_avg. Mark the calculated average power P_avg as the fan energy consumption parameter. Determine the initial conditions and boundary conditions of the fan: Determine the fan environmental parameters {T_avg, T_max, T_min, H_avg, H_max, H_min}, the fan operating parameter R_avg, and the fan energy consumption parameter P_avg as the initial conditions of the fan. Determine the fan air pressure parameter P_avg and the fan wind speed parameter ΔV as the boundary conditions of the fan.

[0137] Preferably, the thermal-fluid-structure interaction vibration simulation of the fan structure model based on the initial conditions of the fan in step S3 includes:

[0138] Divide the fan structure model into a fan fluid domain and a fan solid domain;

[0139] Perform mesh generation on the fan fluid domain using tetrahedral meshes with a mesh side length of 5 mm; perform mesh generation on the fan solid domain using hexahedral meshes with a mesh side length of 3 mm;

[0140] Input the initial conditions of the fan into the fan fluid domain and the fan solid domain in the simulation software;

[0141] Start the simulation to simulate the thermal-fluid-structure interaction vibration response of the fan under the initial conditions;

[0142] In the fan fluid domain, use the Reynolds-averaged Navier-Stokes equations to calculate the fluid thermal-fluid characteristics, including the velocity field and the pressure field, to obtain the thermal-fluid simulation data;

[0143] In the fan solid domain, use the finite element method to calculate the fan structure vibration response, including the stress distribution and the displacement field, to obtain the vibration simulation data;

[0144] In the fan fluid domain and the fan solid domain, perform a thermal-fluid-structure interaction simulation based on the thermal-fluid simulation data and the vibration simulation data to obtain the thermal-fluid-structure interaction vibration results.

[0145] In the embodiment of the present invention, a three-dimensional geometric model of a fan is imported into ANSYS Workbench. The DesignModeler module is used to clean and simplify the model, separating the fluid domain (such as the fluid space inside and around the impeller) and the solid domain (such as structural parts like the impeller and casing) of the fan; the division of the fluid domain and the solid domain needs to ensure a clear interface for subsequent coupled calculations; in the ANSYS Meshing module, the "Tetrahedral" mesh type is selected, the global mesh size is set to 5 mm, and the key areas (such as near the impeller) are refined through the "Size Control" function to ensure the mesh quality; in ANSYS Mechanical, the "Hexahedral" mesh type is selected, and the global mesh size is set to 3 mm; the "Size Control" function is also used to refine the high-stress areas (such as the root of the impeller) to improve the simulation accuracy; in ANSYS Fluent, the initial temperature, pressure, and flow velocity of the fluid domain are set. For example, the initial temperature is 20 °C, the inlet flow velocity is set according to the fan design parameters, and the pressure is the atmospheric pressure; in ANSYS Mechanical, the initial stress and displacement of the solid domain are set. For example, it is assumed that the initial stress is zero, and the displacement constraints are set according to the installation conditions of the fan; in ANSYS Workbench, the "Thermal-Fluid-Solid Coupling" simulation type is selected, and the solver is set to transient solution. The time step is configured to 0.01 s, and the total simulation time is 10 s to ensure the stability and convergence of the calculation; in the fluid domain, the Reynolds-averaged Navier-Stokes equations (RANS) are used to calculate the heat flow characteristics of the fluid: in ANSYS Fluent, the k-ε turbulence model is selected, and the boundary conditions (such as inlet velocity, outlet pressure) and initial conditions (such as temperature, pressure) are set; during the solution process, the velocity field and pressure field of the fluid are calculated to obtain the heat flow simulation data; in the solid domain, the finite element method is used to calculate the vibration response of the fan structure. In ANSYS Mechanical, the material properties (such as elastic modulus, Poisson's ratio) and boundary conditions (such as fixed constraints, loads) are set; through modal analysis or transient dynamics analysis, the stress distribution and displacement field of the structure are calculated to obtain the vibration simulation data; in ANSYS Workbench, through the field coupling function, the heat flow results of the fluid domain are interactively calculated with the vibration results of the solid domain, and the heat transfer coefficient and mechanical load transfer method of the coupling interface are set to ensure the accuracy of the coupled calculation, and finally the heat flow coupled vibration results are obtained, including the temperature field, velocity field, pressure field, stress distribution, and displacement field.

[0146] Preferably, the simulation of the turbulent vortex separation phenomenon on the fan structure model according to the fan boundary conditions in step S3 includes:

[0147] The fluid domain of the fan is divided into multiple grid cells with a grid side length of 5 mm;

[0148] In the fluid domain of the fan, the Reynolds-averaged Navier-Stokes equations are used to calculate the turbulent kinetic energy data, and the fluid turbulent dissipation rate is determined based on the turbulent kinetic energy data;

[0149] In the fluid domain of the fan, the turbulent vortex separation phenomenon is identified based on the turbulent kinetic energy data and the fluid turbulent dissipation rate, and the location, size, and intensity of the turbulent vortex separation phenomenon are recorded to obtain the turbulent vortex separation data;

[0150] The turbulent kinetic energy data, the fluid turbulent dissipation rate, and the turbulent vortex separation data are used to generate the turbulent vortex separation result.

[0151] In the embodiment of the present invention, the geometric model of the fluid domain of the fan is imported into ANSYS Fluent. The fluid domain is divided into multiple grid cells using a mesh generation tool. The mesh type is set to tetrahedral mesh with a grid side length of 5 mm. The mesh quality is ensured to meet the simulation requirements through a mesh quality inspection tool to avoid overly distorted or overly large grid cells; in ANSYS Fluent, the Reynolds-averaged Navier-Stokes equations (RANS) are selected as the basic equations of the turbulence model, and specifically the standard k-ε turbulence model is adopted. This model describes the turbulence characteristics by solving the transport equations of the turbulent kinetic energy (k) and the turbulent dissipation rate (ε). In the simulation settings, the initial conditions (such as the inlet flow velocity, temperature, etc.) are input, and the turbulent kinetic energy equation is solved according to the boundary conditions (such as the inlet velocity, outlet pressure) to obtain the turbulent kinetic energy data; based on the turbulent kinetic energy data, the turbulent dissipation rate (ε) of the fluid is further calculated. In the k-ε model, the turbulent dissipation rate is the dissipation rate of the turbulent kinetic energy, which is calculated from the turbulent kinetic energy (k) and the turbulent length scale (l). The specific formula is: where the turbulent length scale l is related to the characteristic size (such as the pipe diameter or the chord length of the impeller); in the fluid domain, the turbulent vortex separation phenomenon is identified based on the turbulent kinetic energy data and the turbulent dissipation rate. The distribution of the velocity field and the pressure field is analyzed through the ANSYS CFD-Post post-processing tool to determine the location, size, and intensity of the turbulent vortex separation phenomenon. The turbulent vortex separation phenomenon usually manifests as the concentration of low-pressure regions and high-turbulent kinetic energy regions. The characteristic parameters of these regions are recorded, including the separation point location, vortex size, and intensity; the turbulent kinetic energy data, the turbulent dissipation rate, and the relevant data of the turbulent vortex separation phenomenon are integrated to generate the turbulent vortex separation result. In ANSYS CFD-Post, through the result export function, these data are output in the form of tables or graphs.

[0152] Preferably, the airflow simulation parameter mapping based on the thermal-fluid coupling vibration result and the turbulent vortex separation result in step S4 includes:

[0153] Mark the temperature field, stress field, and displacement field data in the heat flux coupled vibration results as heat flux coupled vibration characteristics;

[0154] Determine the heat flux coupled type data of the fan according to the heat flux coupled vibration characteristics;

[0155] Mark the turbulent kinetic energy data, turbulent dissipation rate data, and the position, size, and intensity data of the turbulent eddy separation phenomenon in the turbulent eddy separation results as turbulent eddy separation characteristics;

[0156] Determine the turbulent eddy type data of the fan according to the turbulent eddy separation characteristics;

[0157] Determine the fan simulation type parameters based on the heat flux coupled type data and turbulent eddy type data of the fan, and output the air flow simulation parameters.

[0158] In the embodiment of the present invention, in ANSYS CFD-Post, temperature field, stress field and displacement field data are extracted from the thermo-fluid-structure interaction vibration results. Through the post-processing tool, the temperature field data is labeled as "Temperature_Field", the stress field data is labeled as "Stress_Field", and the displacement field data is labeled as "Displacement_Field", and these data are stored as thermo-fluid-structure interaction vibration characteristics; according to the labeled thermo-fluid-structure interaction vibration characteristics, the distribution laws of the temperature field, stress field and displacement field are analyzed. By setting the isothermal line range of the temperature field, the contour line range of the stress field and the vector display range of the displacement field, the thermo-fluid-structure interaction type data of the fan is determined. For example, according to the peak value and distribution area of the temperature field, the intensity level of the thermo-fluid-structure interaction is determined; according to the maximum value and distribution position of the stress field, the concentrated area of the structural stress is determined; in ANSYS CFD-Post, turbulent kinetic energy data, turbulent dissipation rate data and the position, size and intensity data of the turbulent eddy separation phenomenon are extracted from the turbulent eddy separation results. The turbulent kinetic energy data is labeled as "Turbulence_Kinetic_Energy", the turbulent dissipation rate data is labeled as "Turbulence_Dissipation_Rate", and the position, size and intensity data of the turbulent eddy separation phenomenon are respectively labeled as "Separation_Location", "Separation_Size" and "Separation_Strength", and these data are stored as turbulent eddy separation characteristics; according to the labeled turbulent eddy separation characteristics, the distribution laws of the turbulent kinetic energy and the turbulent dissipation rate are analyzed, and the characteristic parameters of the turbulent eddy separation phenomenon are determined. For example, through the peak value and distribution area of the turbulent kinetic energy, the turbulence intensity is determined; through the distribution of the turbulent dissipation rate, the dissipation area of the turbulence is determined; through the position and size of the turbulent eddy separation phenomenon, the structural characteristics of the wake vortex are determined; based on the thermo-fluid-structure interaction type data of the fan and the turbulent eddy type data of the fan, the influence of the thermo-fluid-structure interaction and the turbulent eddy separation on the fan performance is comprehensively analyzed, and the type parameters of the fan simulation are determined according to these data, such as the thermo-fluid-structure interaction intensity, the turbulence intensity and the flow field complexity, etc., and these parameters are output as the air flow simulation parameters for subsequent fan performance optimization and design.

[0159] Preferably, constructing the computational fluid dynamics simulation model according to the air flow simulation parameters in step S4 includes:

[0160] Extract the thermo-fluid-structure interaction vibration results from the air flow simulation parameters, and map the thermo-fluid-structure interaction vibration results to the solid domain grid cells to obtain vibration mapping data;

[0161] Perform smoothing processing on the vibration mapping data to obtain coupled simulation processing data;

[0162] Extract the turbulent vortex separation results from the airflow simulation parameters and map the turbulent vortex separation results to the fluid domain grid cells to obtain the turbulent vortex mapping data;

[0163] Perform position correction on the turbulent vortex mapping data to obtain the corrected turbulent vortex simulation data;

[0164] Construct the initial framework of the fluid mechanics simulation based on the coupled simulation processing data and the corrected turbulent vortex simulation data;

[0165] Set the simulation parameters of the initial framework of the fluid mechanics simulation, including the simulation time, time step, and convergence conditions;

[0166] Simulate the flow characteristics of the airflow inside the fan, monitor and record the dynamic changes of the velocity field, pressure field, and turbulent field to obtain the fluid mechanics simulation model.

[0167] In the embodiments of the present invention, in ANSYS Mechanical or ANSYS CFD-Post, the thermo-fluid coupling vibration results are extracted from the air flow simulation parameters, including the temperature field, stress field and displacement field data. These data are marked as thermo-fluid coupling vibration characteristics. Subsequently, using the mapping function of ANSYS Mechanical, the thermo-fluid coupling vibration characteristic data are mapped onto the mesh elements of the solid domain to obtain vibration mapping data; the data smoothing tool in ANSYS Mechanical is used to process the vibration mapping data. By setting the parameters of the smoothing algorithm (such as the smoothing range and the number of iterations), it is ensured that the data transition between the mesh elements is smoother, avoiding numerical instability caused by data mutations, and finally obtaining the coupled simulation processed data; in ANSYS Fluent or ANSYS CFD-Post, the turbulent vortex separation results are extracted from the air flow simulation parameters, including the turbulent kinetic energy data, turbulent dissipation rate data, and the position, size and intensity data of the turbulent vortex separation phenomenon. These data are marked as turbulent vortex separation characteristics. Using the mesh mapping function of ANSYS Fluent, the turbulent vortex separation characteristic data are mapped onto the mesh elements of the fluid domain to obtain turbulent vortex mapping data; in ANSYS Fluent, the position correction of the turbulent vortex mapping data is carried out. By adjusting the position parameters of the turbulent vortex separation phenomenon, it is ensured that it matches the geometric characteristics of the mesh elements in the fluid domain. The corrected data should be able to accurately reflect the actual position and range of the turbulent vortex separation phenomenon, and finally obtaining the turbulent vortex simulation corrected data; based on the coupled simulation processed data and the turbulent vortex simulation corrected data, an initial framework of the fluid mechanics simulation is constructed in ANSYS Fluent. The processed vibration data and turbulent vortex data are used as the initial conditions and input into the simulation model to ensure that the model can accurately reflect the thermo-fluid coupling and turbulence characteristics inside the fan; in ANSYS Fluent, the simulation parameters of the initial framework of the fluid mechanics simulation are set. The simulation time is set to 30 seconds, and the time step is determined according to the Courant-Friedrichs-Lewy (CFL) condition and set to 0.01 seconds. The convergence condition is set to a residual less than 1×10 -6 , ensuring the stability and accuracy of the simulation results; start the ANSYS Fluent simulation to simulate the flow characteristics of the air flow inside the fan. By monitoring the dynamic changes of the velocity field, pressure field and turbulent field, the key parameters in the simulation process are recorded. Finally, a fluid mechanics simulation model is obtained, which can accurately reflect the flow field characteristics and turbulent behavior inside the fan.

[0168] Therefore, from any perspective, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to encompass all changes falling within the meaning and scope of the equivalent elements of the application documents within the present invention.

[0169] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features invented herein.

Claims

1. A method for constructing a hydrodynamic simulation model applied to a fan, characterized in that, It includes the following steps: Step S1: Obtain the fan drawing information; identify the geometric structure of the fan drawing information, where the geometric structure includes the air inlet and outlet, the air guide cover, the air guide rotating shaft, and the air bag interface; Step S2: Judge the fan structure shape according to the air inlet and outlet and the air guide rotating shaft to obtain the structure shape data; identify the corresponding positions of the air guide cover and the air bag connection port of the fan structure to generate the structure position data; Construct a fan structure model based on the structure shape data and the structure position data; Step S3: Obtain the fan application scenario information; Determine the initial conditions and boundary conditions of the fan according to the fan application scenario information; perform a thermal-fluid coupling vibration simulation on the fan structure model based on the initial conditions of the fan to obtain the thermal-fluid coupling vibration results; perform a turbulent flow separation phenomenon simulation on the fan structure model according to the boundary conditions of the fan to obtain the turbulent flow separation results; Step S4: Perform an air flow simulation parameter mapping based on the thermal-fluid coupling vibration results and the turbulent flow separation results, and construct a fluid mechanics simulation model according to the air flow simulation parameters.

2. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 1, wherein, Step S1 includes the following steps: Step S11: Obtain the two-dimensional image of the fan drawing; enhance the two-dimensional image information of the fan drawing to obtain the fan drawing information; Step S12: Mark the geometric elements of the fan drawing information to obtain the fan geometric elements; Step S13: Identify the fan geometric contour of the fan geometric elements and map the fan geometric contour to the geometric structure; Step S14: Identify the functions of the fan structure components according to the geometric structure to obtain the air outlet, the air guide cover, the air guide rotating shaft, and the air bag interface.

3. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 1, characterized in that, Step S2 includes the following steps: Step S21: Determine the diameter, area, and angle of the air inlet and outlet to obtain the geometric parameters of the air inlet and outlet; Step S22: Determine the length, position, and inclination angle of the air guide rotating shaft to obtain the geometric parameters of the air guide rotating shaft; Step S23: Perform a geometric space parameter mapping on the geometric parameters of the air inlet and outlet and the geometric parameters of the air guide rotating shaft to obtain the geometric space layout data; perform a structure shape fitting on the geometric space layout data to obtain the fan structure shape data; Step S24: Extract the center cover line coordinates and the cover direction extension vector of the air guide cover to obtain the air guide cover position data; Step S25: Extract the center point coordinates and the connection port normal vector of the air bag connection port to obtain the connection port position data; Step S26: Calculate the spatial angle deviation between the air guide cover position data and the connection port position data to generate the structure position data; Step S27: Construct a fan structure model based on the structure shape data and the structure position data.

4. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 3, wherein Step S27 includes the following steps: Step S271: Divide the surfaces of each component of the fan into multiple quadrilateral mesh units according to the structure shape data, where the side length of the mesh unit of the air inlet and outlet is 2 mm, the side length of the mesh unit of the air guide cover is 3 mm, and the side length of the mesh unit of the air guide rotating shaft is Step S272: Convert the position coordinates of each component from the local coordinate system to the global coordinate system according to the structural position data, where the origin of the global coordinate system is set at the geometric center of the fan, the X-axis is along the main axis direction of the fan, the Y-axis and the Z-axis are perpendicular to the X-axis, and the accuracy of the coordinate conversion is set to 0.01 mm to obtain the position global coordinate data; Step S273: Perform data splicing on the shape meshing data and the position global coordinate data, and fill the gaps between components during the splicing process. The thickness of the filling material is 0.1 mm, the size deviation of the filled mesh cells from the adjacent mesh cells does not exceed 0.05 mm, and the mesh density of the filling area is 1.2 times that of the adjacent component mesh density to obtain a preliminary fan structure model; Step S274: Perform coloring rendering and light and shadow simulation on the preliminary fan structure model, where the rendering resolution is not lower than 1920×1080 pixels and the light and shadow simulation accuracy is not lower than 0.05 mm to obtain the fan structure model.

5. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 1, wherein The obtaining of the fan application scenario information described in step S3 includes the following: Measure points are respectively set in front of, behind and on the side of the fan installation position, and a temperature and humidity sensor is used to record the ambient temperature and humidity data respectively. The recording time is 5 minutes, 15 minutes and 30 minutes after the fan starts; Use a barometer to measure the air pressure data at the fan installation position. The measurement position is 2 meters directly above the fan, and the measurement is taken once per hour; Use a rotational speed sensor to measure the real-time rotational speed of the fan impeller. The sensor is installed on the outer edge of the fan impeller, and the measurement time is 5 minutes, 15 minutes and 30 minutes after the fan starts; Use an anemometer to measure the wind speed at the fan outlet. The anemometer is installed 0.2 meters directly in front of the fan outlet, and the measurement is taken once every 10 minutes after the fan runs, and the number of measurements is not less than 3 times; Use an ammeter and a voltmeter to measure the input current and voltage when the fan is running. The measurement time is 1 minute, 5 minutes and 10 minutes after the fan starts, and the interval between each measurement is 1 minute.

6. The construction method of the hydrodynamic simulation model applied to a fan according to claim 1, characterized in that The determination of the fan initial conditions and the fan boundary conditions according to the fan application scenario information described in step S3 includes: Calculate the average value, maximum value and minimum value of the temperature and humidity data to obtain the temperature and humidity parameterized data; mark the temperature and humidity parameterized data as the fan environmental parameters; Calculate the average air pressure value of the air pressure data and mark it as the fan air pressure parameter; Calculate the average rotational speed of the rotational speed data and mark it as the fan operating parameter; Determine the wind speed fluctuation range of the wind speed data and mark it as the fan wind speed parameter; Calculate the average power of the current and voltage data and mark it as the fan energy consumption parameter; Determine the fan environmental parameters, the fan operating parameters and the fan energy consumption parameters as the fan initial conditions; Determine the fan air pressure parameter and the fan wind speed parameter as the fan boundary conditions.

7. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 1, characterized in that, The thermal-fluid coupling vibration simulation of the fan structure model based on the fan initial conditions described in step S3 includes: Divide the fan structure model into a fan fluid domain and a fan solid domain; Perform mesh division on the fan fluid domain, using tetrahedral meshes with a mesh edge length of 5 mm; perform mesh division on the fan solid domain, using hexahedral meshes with a mesh edge length of 3 mm; Input the initial conditions of the fan into the fluid domain and solid domain of the fan in the simulation software; Start the simulation to simulate the thermal-fluid coupling vibration response of the fan under the initial conditions; In the fluid domain of the fan, use the Reynolds-averaged Navier-Stokes equations to calculate the fluid thermal-fluid characteristics, including the velocity field and pressure field, to obtain the thermal-fluid simulation data; In the solid domain of the fan, use the finite element method to calculate the structural vibration response of the fan, including the stress distribution and displacement field, to obtain the vibration simulation data; In the fluid domain and solid domain of the fan, perform a thermal-fluid coupling simulation based on the thermal-fluid simulation data and vibration simulation data to obtain the thermal-fluid coupling vibration results.

8. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 7, wherein, The simulation of the turbulent eddy separation phenomenon for the fan structural model according to the fan boundary conditions described in step S3 includes: Divide the fluid domain of the fan into multiple grid cells with a grid side length of 5 mm; In the fluid domain of the fan, use the Reynolds-averaged Navier-Stokes equations to calculate the turbulent kinetic energy data and determine the fluid turbulent dissipation rate based on the turbulent kinetic energy data; In the fluid domain of the fan, identify the turbulent eddy separation phenomenon based on the turbulent kinetic energy data and the fluid turbulent dissipation rate, record the location, size, and intensity of the turbulent eddy separation phenomenon, and obtain the turbulent eddy separation data; Generate the turbulent eddy separation results from the turbulent kinetic energy data, the fluid turbulent dissipation rate, and the turbulent eddy separation data.

9. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 1, wherein The mapping of the airflow simulation parameters based on the thermal-fluid coupling vibration results and the turbulent eddy separation results described in step S4 includes: Mark the temperature field, stress field, and displacement field data in the thermal-fluid coupling vibration results as thermal-fluid coupling vibration characteristics; Determine the fan thermal-fluid coupling type data based on the thermal-fluid coupling vibration characteristics; Mark the turbulent kinetic energy data, turbulent dissipation rate data, and the location, size, and intensity data of the turbulent eddy separation phenomenon in the turbulent eddy separation results as turbulent eddy separation characteristics; Determine the fan turbulent eddy type data based on the turbulent eddy separation characteristics; Determine the fan simulation type parameters based on the fan thermal-fluid coupling type data and the fan turbulent eddy type data and output the airflow simulation parameters.

10. The method for constructing a hydrodynamic simulation model applied to a fan according to claim 9, characterized in that, The construction of the fluid mechanics simulation model according to the airflow simulation parameters described in step S4 includes: Extract the thermal-fluid coupling vibration results from the airflow simulation parameters and map the thermal-fluid coupling vibration results to the solid domain grid cells to obtain the vibration mapping data; Perform smoothing processing on the vibration mapping data to obtain the coupled simulation processing data; Extract the turbulent eddy separation results from the airflow simulation parameters and map the turbulent eddy separation results to the fluid domain grid cells to obtain the turbulent eddy mapping data; Perform position correction on the turbulent eddy mapping data to obtain the turbulent eddy simulation correction data; Construct the initial framework of the fluid mechanics simulation based on the coupled simulation processing data and the turbulent eddy simulation correction data; Set the simulation parameters of the initial framework of the fluid mechanics simulation, including the simulation time, time step, and convergence conditions; Simulate the flow characteristics of the airflow inside the fan, monitor and record the dynamic changes of the velocity field, pressure field, and turbulent field, and obtain the fluid mechanics simulation model.

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