A heat exchange calculation method for a flying car oil cooler and an oil cooler

Abstract

The present invention relates to the technical field of oil coolers, and in particular to a heat exchange calculation method for a flying car oil cooler, comprising the following steps: Step S1: defining the structural parameters of the oil cooler as adjustable parameters and constructing a three-dimensional model of the oil cooler; Step S2: simulating the three-dimensional model of the oil cooler using computational fluid dynamics software; Step S3: designing the specific size structure of the heat dissipation fins, end plate A, end plate B and side plates in the oil cooler based on the simulation results. The present invention optimizes the structural parameters of the oil cooler through simulation analysis and optimization design methods, significantly improving the heat exchange efficiency of the oil cooler. The oil cooler can achieve the optimal heat exchange efficiency under various working environment conditions, reducing the energy consumption of the flying car. The problem of low heat exchange efficiency and high energy consumption of traditional oil coolers is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil coolers, and in particular to a heat exchange calculation method for a flying car oil cooler and an oil cooler. Background Art

[0002] At present, as a new means of transportation, the power system of flying cars requires an efficient and reliable thermal management system to ensure the normal operation of the engine and other key components. Traditional heat exchange technology often cannot meet the complex thermal management requirements of flying cars in different flight states. Specifically, there are the following main problems:

[0003] 1. Low heat exchange efficiency: Due to the complex and changeable working environment of flying cars, it is difficult for traditional fixed structure oil coolers to maintain efficient heat exchange performance in all situations.

[0004] 2. High energy consumption: In order to maintain the normal operation of the oil cooler, an additional power source is usually required, which will increase the overall energy consumption.

[0005] 3. Existing flying car oil coolers Existing flying car oil coolers have problems in structural strength and are easily damaged due to vibration and other reasons during flight. In addition, the cooling medium fluid at the inlet of the oil cooler is unevenly distributed, resulting in low heat exchange efficiency.

[0006] Therefore, a heat exchange calculation method and an oil cooler for a flying car oil cooler are needed to solve the above problems. Summary of the invention

[0007] The present invention provides a heat exchange calculation method for a flying car oil cooler and an oil cooler. The present invention optimizes the structural parameters of the oil cooler through simulation analysis and optimization design methods. This method significantly improves the heat exchange efficiency of the oil cooler. The oil cooler can achieve the optimal heat exchange efficiency under various working environment conditions, reducing the energy consumption of the flying car. The problem of low heat exchange efficiency and high energy consumption of traditional oil coolers is solved.

[0008] The technical solution adopted by the present invention to solve the above technical problems is:

[0009] A method for calculating heat exchange of a flying car oil cooler comprises the following steps:

[0010] Step S1: defining the structural parameters of the oil cooler as adjustable parameters and constructing a three-dimensional model of the oil cooler;

[0011] Step S2: using computational fluid dynamics software to simulate the three-dimensional model of the oil cooler;

[0012] Step S3: designing the specific size structure of the heat dissipation fins, end plate A, end plate B and side plate in the oil cooler based on the simulation results;

[0013] Step S4: deploying a temperature sensor, a pressure sensor and a flow meter inside the oil cooler structure designed based on step S3, installing a sonar sensor and an infrared imager on the end plate A and the end plate B of the oil cooler, and obtaining the working environment data of the oil cooler through the temperature sensor, the pressure sensor, the flow meter, the sonar sensor and the infrared imager;

[0014] Step S5: constructing a digital twin model simulating the working environment of the oil cooler according to the working environment data of the oil cooler;

[0015] Step S6: Integrate the digital twin model constructed in step S5 into the control system of the oil cooler, and use the digital twin model to dynamically adjust the operating parameters of the oil cooler.

[0016] Furthermore, in step S2, the three-dimensional model of the oil cooler is simulated using computational fluid dynamics software, including:

[0017] Step S2-1: importing the three-dimensional model of the oil cooler created in step S1 into ANSYS Fluent software;

[0018] Step S2-2: defining boundary conditions, including the inlet flow rate, inlet temperature, outlet pressure of the oil cooler and the ambient temperature of the oil cooler;

[0019] Step S2-3: Setting the thermal conductivity, specific heat capacity and density of the cooling medium of the oil cooler;

[0020] Step S2-4: Meshing the three-dimensional model of the oil cooler using ANSYS Fluent software;

[0021] Step S2-5: Configure the physical model and set the solver in ANSYS Fluent software;

[0022] Step S2-5-1: Configure the physical model and select the unidirectional flow model;

[0023] Step S2-5-2: Select the pressure solver and set the residual threshold;

[0024] Step S2-6: Perform simulation using ANSYS Fluent software and record the intermediate result data generated during the calculation process.

[0025] Furthermore, in step S3, the specific size structures of the heat dissipation fins, the end plate A, the end plate B and the side plate in the oil cooler are designed based on the simulation results, including:

[0026] Step S3-1: Analyze the intermediate result data obtained in step S2-6;

[0027] Step S3-2: Determine the optimization target;

[0028] Step S3-3: Select an optimization algorithm;

[0029] Step S3-4: Define design variables.

[0030] Furthermore, the specific dimensional structures of the heat dissipating fins, end plate A, end plate B and side plate in step S3 include the distance between the heat dissipating fins, the cross-sectional shape and thickness of the heat dissipating fins, the shapes of the end plate A and the end plate B, the size and position of the flow channels opened on the end plate A and the end plate B, and the sheet metal flange structure of the side plate.

[0031] Furthermore, in step S5, constructing a digital twin model simulating the working environment of the oil cooler according to the working environment data of the oil cooler includes:

[0032] Step S5-1: collecting data generated by the oil cooler in an actual working environment;

[0033] Step S5-2: Arrange and clean the collected data;

[0034] Step S5-3: Use the cleaned data to build a digital twin model of the oil cooler.

[0035] A flying car oil cooler comprises an end plate A, an end plate B and a side plate;

[0036] The end plate A and the end plate B are arranged opposite to each other, the end plate A and the end plate B are connected to each other through a side plate, and a heat dissipation fin is installed in the space formed between the end plate A and the end plate B;

[0037] The end plate A is provided with two joints which are symmetrically arranged with respect to each other.

[0038] Furthermore, the side panels are integrally connected with sheet metal flanges for increasing strength.

[0039] Furthermore, the end plate B is provided with two sealing flanges, and threaded holes are opened on the sealing flanges.

[0040] Furthermore, the end plate A and the end plate B are each provided with two adjacent flow channels.

[0041] Furthermore, a protruding spacer is provided between the two flow channels.

[0042] The advantages of the present invention are:

[0043] The present invention provides a heat exchange calculation method for a flying car oil cooler, which has the following advantages:

[0044] 1. Improve heat exchange efficiency and reduce energy consumption:

[0045] The present invention optimizes the structural parameters of the oil cooler through simulation analysis and optimization design methods, which significantly improves the heat exchange efficiency of the oil cooler. The oil cooler can achieve the optimal heat exchange efficiency under various working environment conditions, reducing the energy consumption of the flying car. It solves the problem of low heat exchange efficiency and high energy consumption of traditional oil coolers.

[0046] 2. Enhance the reliability and durability of the oil cooler:

[0047] The present invention realizes real-time monitoring of the working status of the oil cooler by constructing a digital twin model. This method enhances the reliability and durability of the oil cooler and improves the accuracy of fault diagnosis. It solves the problem that it is difficult to monitor the working status of the existing oil cooler in real time, resulting in untimely fault diagnosis.

[0048] The present invention also provides a flying car oil cooler, which has the following advantages:

[0049] 1. The present invention significantly improves the overall structural strength and durability of the oil cooler by integrally connecting a sheet metal flange for increasing strength to the side panel, and enhances the stability and impact resistance of the oil cooler during flight.

[0050] 2. The present invention has two adjacent flow channels on both the end plate A and the end plate B, and a protruding spacer is provided between the two flow channels. This structure improves the flow characteristics of the cooling medium fluid, making it more evenly distributed when entering the oil cooler, thereby improving the heat exchange efficiency, reducing the pressure loss, and solving the problems of uneven fluid distribution and low heat exchange efficiency in traditional oil coolers. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 It is a schematic diagram of the three-dimensional structure of the present invention;

[0053] in:

[0054] 1. End plate A; 2. End plate B; 3. Side plate;

[0055] 301, sheet metal flanging; 4, sealing flange; 401, threaded hole;

[0056] 5. Connector; 6. Spacer; 7. Flow channel; 8. Heat sink fin. DETAILED DESCRIPTION

[0057] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] Embodiment 1: A method for calculating heat exchange of a flying car oil cooler, comprising the following steps:

[0059] Step S1: defining the structural parameters of the oil cooler as adjustable parameters and constructing a three-dimensional model of the oil cooler; specifically, the steps include:

[0060] Step S1-1: defining basic geometric parameters of the oil cooler;

[0061] S1-1-1: Determine the overall size range of the oil cooler, including length, width and height;

[0062] S1-1-2: define the geometric parameters of the heat dissipation fins 8, including the thickness, height, spacing, etc. of the fins;

[0063] S1-1-3: Set the dimensions of end plate A1 and end plate B2, including diameter or width and thickness;

[0064] S1-1-4: Specify the size and shape of the flow channel 7, including the diameter or width, depth, and distance between the flow channels 7.

[0065] Step S1-2: defining structural constraints of the oil cooler;

[0066] S1-2-1: Set the maximum allowable weight and volume of the oil cooler;

[0067] S1-2-2: Determine the maximum and minimum operating temperature range of the oil cooler;

[0068] S1-2-3: Define the maximum operating pressure and pressure drop limit of the oil cooler;

[0069] S1-2-4: Specify the manufacturing cost budget of the oil cooler.

[0070] Step S1-3: Define the performance goals of the oil cooler

[0071] S1-3-1: Set the minimum heat exchange efficiency requirements for the oil cooler;

[0072] S1-3-2: Determine the minimum coolant flow rate and maximum flow rate range of the oil cooler;

[0073] S1-3-3: Specifies the minimum service life and reliability index of the oil cooler;

[0074] S1-3-4: Set the maintenance period of the oil cooler and the replacement period of wearing parts.

[0075] Step S1-4: constructing a parameterized model of the oil cooler;

[0076] S1-4-1: Establishing a geometric model of the oil cooler based on the parameters defined in steps S1-1 to S1-4;

[0077] S1-4-2: Convert the geometric model into a parameterized mathematical expression so that the key parameters in the model become adjustable variables;

[0078] S1-4-3: Create a parametric 3D model in SolidWorks software to ensure that the model can be automatically updated according to changes in adjustable parameters;

[0079] S1-4-4: Define constraints in the parametric model to ensure that the model is changeable.

[0080] By defining the basic geometric parameters, structural constraints, and performance objectives of the oil cooler and building a parametric model in the above steps, the design of the oil cooler is flexible and adjustable, and can be quickly iterated and optimized based on different requirements.

[0081] Step S2 uses computational fluid dynamics software to simulate the three-dimensional model of the oil cooler to verify the heat exchange performance of the oil cooler, specifically including:

[0082] Step S2-1: importing the three-dimensional model of the oil cooler created in step S1 into ANSYS Fluent software;

[0083] Step S2-2: Define boundary conditions, including the inlet velocity, inlet temperature, outlet pressure and ambient temperature of the oil cooler; the inlet velocity (InletVelocity) is assumed to be 2.5m / s, which is the average velocity of the fluid entering the oil cooler. The selection of this velocity needs to take into account the dynamic characteristics of the fluid and the design size of the oil cooler to ensure that the fluid can be evenly distributed and fully contact the cooling surface. The outlet pressure (OutletPressure) is assumed to be 101325Pa (i.e. standard atmospheric pressure), which is the pressure of the fluid when it leaves the oil cooler. Generally, if there is no additional pressure loss or increase at the outlet, it can be set to atmospheric pressure. If there is back pressure or other special conditions, this value needs to be adjusted accordingly. The ambient temperature (AmbientTemperature) is assumed to be 25°C, which is the temperature of the environment in which the oil cooler is located. It is important for both natural convection and forced convection, which affects the heat exchange efficiency between the oil cooler and the environment. In addition, the boundary conditions that need to be defined include: the inlet temperature (InletTemperature) value is assumed to be 80°C, which is the temperature of the fluid (cooling medium) entering the oil cooler. It is crucial for the calculation of heat exchange efficiency. The ambient humidity (RelativeHumidity) in the environmental conditions: set to 50%, and the wind speed (WindSpeed) is set to 0m / s (under no wind conditions).

[0084] Step S2-3: Setting the thermal conductivity, specific heat capacity and density of the cooling medium of the oil cooler;

[0085] Step S2-4: Use ANSYS Fluent software to mesh the three-dimensional model of the oil cooler; specifically, the steps include:

[0086] Step S2-4-1: Use ANSYSMeshing to divide the mesh;

[0087] Step S2-4-1-1: Prepare meshing: Open the 3D model of the oil cooler in ANSYSMeshing and perform preprocessing operations, including checking the geometry quality and repairing geometric defects.

[0088] Step S2-4-1-2: Select the mesh type: Select the mesh type according to the geometric complexity of the oil cooler and the simulation requirements, including: structured mesh (suitable for relatively simple geometric shapes), unstructured mesh (suitable for complex geometric shapes), hybrid mesh (combines the advantages of structured and unstructured meshes, suitable for a variety of geometric shapes).

[0089] Step S2-4-1-3: Define mesh control: Set mesh control parameters to ensure mesh quality and computational efficiency, including:

[0090] Mesh Size: Defines the size of the mesh cells, ensuring the mesh is fine enough to capture the details of the fluid flow.

[0091] Boundary layer mesh: Set a finer mesh layer at the wall to accurately simulate boundary layer effects.

[0092] Local refinement: Set local mesh refinement in key areas of cooling medium fluid flow (such as the inlet, outlet, and bends of the oil cooler) to improve the calculation accuracy of these areas.

[0093] Step S2-4-1-3: Generate mesh: Generate mesh using ANSYSMeshing's mesh generation tool. Note: Monitor the mesh generation process to ensure that no errors or warnings occur. Adjust mesh parameters until a high-quality mesh is obtained.

[0094] Step S2-4-1-4: Check mesh quality: Use the tools provided by ANSYSMeshing to check the quality of the generated mesh, including the shape and distortion of the mesh elements.

[0095] Step S2-4-1-5: Export mesh file: Export the generated mesh to a format that ANSYS Fluent can read, and ensure that the mesh file format is compatible with ANSYS Fluent. After exporting the mesh file, import it in ANSYS Fluent and perform subsequent simulations.

[0096] Through the above steps, the 3D model of the oil cooler can be meshed by using ANSYS Meshing to ensure the accuracy of computational fluid dynamics simulation.

[0097] Step S2-5: Configure the physical model and set the solver in ANSYS Fluent software; specifically, including:

[0098] Step S2-5-1: Configure the physical model and select the unidirectional flow model; in the Models>Multiphase panel in the ANSYS Fluent software, keep the default single-phase setting.

[0099] Step S2-5-2: Select the pressure solver and set the residual threshold; specifically, set the residual threshold to ensure the convergence of the calculation. Set the residual threshold to 1e-6 to ensure the accuracy of the calculation results. The example configuration in this embodiment is: Open the ANSYS Fluent software and load the mesh file. Enter the Setup>SolverControls panel. Select Pressure-Based in the SolutionMethod drop-down menu. In the Discretization panel, select SecondOrderUpwind as the discretization method. Enter the ConvergenceCriteria panel. Set the residual threshold to 1e-6.

[0100] Step S2-6: Use ANSYS Fluent software to simulate and record the intermediate result data generated during the calculation process. Start the calculation and monitor the convergence during the calculation process (you can monitor the change of residuals to determine whether the calculation has converged). The specific calculation process is: Enter the Monitor>Residuals panel. Monitor the residuals: Observe the changes of the residual curve with the number of iterations. Set the monitoring frequency: Set the monitoring frequency in the Monitor>Residuals panel, for example, record the residual once every 10 iterations. If the residual curve tends to be stable but does not meet the convergence standard, increase the number of iterations. If the calculation converges too early, you can reduce the residual threshold to improve the calculation accuracy. If the residual changes are unstable, return to ANSYS Meshing to check and optimize the mesh. Example configuration: Open ANSYS Fluent and load the mesh file. Enter the Solution>RunCalculation panel. Set the number of iterations to 500. Click Run to start the calculation. Enter the Monitor>Residuals panel. Observe the changes of the residual curve with the number of iterations.

[0101] Set the monitoring frequency to record the residual every 10 iterations. If the residual curve tends to be stable but does not meet the convergence criteria, increase the number of iterations to 1000. If the calculation converges too early, reduce the residual threshold from 1e-6 to 1e-7 and analyze the simulation results. The above steps help ensure that the results obtained from the computational fluid dynamics simulation are reliable and meet the required convergence criteria. The intermediate result data generated during the calculation process specifically include fluid velocity distribution: velocity distribution of the fluid inside the oil cooler, including the fluid velocity at each grid node. Temperature distribution: temperature distribution of the fluid inside the oil cooler, and the temperature of each part of the oil cooler. Pressure distribution: pressure distribution of the fluid inside the oil cooler. Heat transfer coefficient: distribution of heat transfer coefficient between the oil cooler tube wall and the fluid. Energy consumption: energy consumption distribution of the fluid inside the oil cooler. Residual: During the calculation process, the residual value of each iteration step is used to monitor the convergence of the calculation. The above steps verify the effectiveness of the oil cooler design and identify potential problems in the design through simulation, providing data support for the next step of design optimization.

[0102] Step S3: Based on the simulation results, the specific size structure of the heat dissipation fins 8, the end plate A1, the end plate B2 and the side plate 3 in the oil cooler is designed, specifically including:

[0103] Step S3-1: Analyze the intermediate result data obtained in step S2-6; specifically, extract simulation data, including velocity distribution, temperature distribution, and pressure distribution of the cooling medium fluid. Evaluate the performance of the oil cooler: analyze key performance indicators such as heat exchange efficiency and pressure loss. Identify design problems, such as uneven distribution of the cooling medium fluid.

[0104] Step S3-2: Determine the optimization target, including:

[0105] Define optimization goals: e.g. maximize heat transfer efficiency, minimize pressure loss.

[0106] Set constraints: such as manufacturing costs and size restrictions.

[0107] Step S3-3: Select an optimization algorithm;

[0108] Select an optimization algorithm: use any optimization algorithm in the current existing technology, such as genetic algorithm or particle swarm optimization algorithm, and set algorithm parameters (such as population size, number of iterations).

[0109] Step S3-4: Define design variables.

[0110] Heat sink fin 8:

[0111] Distance: Defines the minimum and maximum distance between the cooling fins 8.

[0112] Cross-sectional shape: defines the cross-sectional shape of the heat dissipation fin 8.

[0113] Thickness: Defines the minimum and maximum thickness of the heat sink 8.

[0114] End plate A1 and end plate B2:

[0115] Shape: Define the specific shape of end plate A1 and end plate B2.

[0116] Runner 7 Size: Define the minimum and maximum size of runner 7.

[0117] Channel 7 position: defines the position range of channel 7 relative to the end plate.

[0118] Sheet metal flange 301 structure: defines the minimum and maximum sizes of the sheet metal flange 301 of the side panel 3.

[0119] Through the above steps, the design parameters of the oil cooler three-dimensional model can be optimized and calculated based on the simulation results to obtain better heat exchange performance.

[0120] The specific dimensional structures of the heat dissipating fins 8, the end plate A1, the end plate B2 and the side plate 3 in the step S3 include the distance between the heat dissipating fins 8, the cross-sectional shape and thickness of the heat dissipating fins 8, the shapes of the end plates A1 and B2, the size and position of the flow channels 7 opened on the end plates A1 and B2, and the sheet metal flange 301 structure of the side plate 3.

[0121] Step S4: Deploy temperature sensors, pressure sensors and flow meters inside the oil cooler structure designed based on step S3, install sonar sensors and infrared imagers on the end plates A1 and B2 of the oil cooler, and obtain the working environment data of the oil cooler through the temperature sensor, pressure sensor, flow meter, sonar sensor and infrared imager; specifically, the temperature sensor is deployed in the path through which the coolant flows to monitor the temperature of the coolant, and can be deployed at the inlet and outlet of the oil cooler, or deployed near the heat dissipation fins 8 to monitor the temperature changes of the coolant at different positions. The pressure sensor is deployed in the path through which the coolant flows to monitor the pressure of the coolant, and can be deployed at the inlet and outlet of the oil cooler to monitor the pressure changes of the coolant when entering and leaving the oil cooler. The flow meter is used to monitor the flow of the cooling medium, and is deployed in the main path through which the coolant flows, and can be deployed at the inlet or outlet of the oil cooler to monitor the flow of the coolant. The temperature sensor and pressure sensor can also be deployed in the coolant channel near the heat dissipation fins 8 to monitor the temperature and pressure changes of the coolant during the heat dissipation process. In addition, temperature sensors, pressure sensors and flow meters are usually deployed at the inlet and outlet of the oil cooler to monitor the status of the coolant when it enters and leaves the oil cooler. By deploying sensors at these key locations, the status of the coolant inside the oil cooler can be more accurately monitored, thereby better controlling the working status of the oil cooler.

[0122] Step S5: construct a digital twin model simulating the working environment of the oil cooler based on the working environment data of the oil cooler; through this step, a digital twin model based on a determined combination of oil cooler structural parameters can be effectively constructed, which can accurately simulate the working conditions of the oil cooler under different flight conditions, and provide a basis for the subsequent deep reinforcement learning control strategy. Specifically, it includes:

[0123] Step S5-1: Collect data generated by the oil cooler in the actual working environment; specifically, the data includes: Temperature data: obtain temperature data inside and outside the oil cooler through a temperature sensor. Pressure data: obtain pressure data inside the oil cooler through a pressure sensor. Flow data: obtain fluid flow data flowing through the oil cooler through a flow meter. Sonar data: obtain acoustic data around the oil cooler through a sonar sensor. Infrared imaging data: obtain a thermal distribution image of the oil cooler through an infrared imager.

[0124] Step S5-2: Organize the collected data and clean it to ensure data quality; specifically, it includes: Data sorting: sort the data in chronological order. Outlier detection: detect and process outliers. Missing value processing: fill in or delete missing values.

[0125] Step S5-3: Use the cleaned data to build a digital twin model of the oil cooler; specifically, it includes: Model initialization: Initialize the digital twin model according to the design parameters of the oil cooler, use SOLIDWORKS software to build a three-dimensional model of the oil cooler according to the design drawings and material properties of the oil cooler, and use simulation software (such as ANSYS Fluent) to build a fluid dynamics simulation model of the oil cooler. Data mapping: Map the collected working environment data to the digital twin model. Dynamic simulation: Use the collected data to dynamically simulate the working state of the oil cooler. Model calibration: Calibrate the digital twin model according to the actual working environment data. Data mapping: Map the collected working environment data to the digital twin model. Dynamic simulation: Use the collected data to dynamically simulate the working state of the oil cooler. This step establishes a digital twin model that is consistent with the behavior of the real oil cooler based on the actual operating data, which can be used to simulate the working conditions under different flight conditions and provide a basis for subsequent control strategies.

[0126] Step S6: Integrate the digital twin model constructed in step S5 into the control system of the oil cooler, and use the digital twin model to dynamically adjust the working parameters of the oil cooler to adapt to the different working environments of the flying car.

[0127] Figure 1 It is a schematic diagram of the three-dimensional structure of the present invention, such as Figure 1The flying car oil cooler shown in the figure includes an end plate A1, an end plate B2 and a side plate 3; the end plate A1 and the end plate B2 are arranged opposite to each other, and the end plate A1 and the end plate B2 are connected to each other through the side plate 3. The end plate A1 and the end plate B2 serve as the main supporting structure of the oil cooler and provide a stable frame for the entire oil cooler; fluid inlets and outlets (not shown in detail in the figure) are provided on the end plates A1 and B2 to ensure that the cooling medium can smoothly enter and exit the oil cooler.

[0128] In the present invention, a heat dissipation fin 8 is installed in the space formed between the end plate A1 and the end plate B2. The heat dissipation fin 8 increases the contact area between the cooling medium and the external air, improves the heat exchange efficiency, and improves the heat conduction: through the structural design of the heat dissipation fin 8, the heat conduction path is improved, so that the heat can be transferred from the cooling medium to the external air faster;

[0129] The present invention has two symmetrically arranged joints 5 installed on the end plate A1, and the side plate 3 is integrally connected with a sheet metal flange 301 for increasing strength, thereby improving the structural strength and durability of the oil cooler. The end plate B2 is provided with two sealing flanges 4, and the sealing flange 4 is provided with a threaded hole 401. The end plate A1 and the end plate B2 are both provided with two adjacent flow channels 7, and a spacer 6 is provided between the two flow channels 7. A protruding spacer 6 is provided between the two flow channels 7. The present invention improves the flow characteristics of the cooling medium and improves the heat exchange efficiency by providing two adjacent flow channels 7 on the end plate A1 and the end plate B2 in combination with the protruding spacer 6.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A heat exchange calculation method for a flying car oil cooler, characterized in that: The following steps are involved: Step S1: defining the structural parameters of the oil cooler as adjustable parameters and constructing a three-dimensional model of the oil cooler; Step S2: using computational fluid dynamics software to simulate the three-dimensional model of the oil cooler; Step S3: designing the specific size structure of the heat dissipation fins (8), the end plate A (1), the end plate B (2) and the side plate (3) in the oil cooler based on the simulation results; Step S4: deploying a temperature sensor, a pressure sensor, and a flow meter inside the oil cooler structure designed based on step S3, installing a sonar sensor and an infrared imager on the end plate A (1) and the end plate B (2) of the oil cooler, and obtaining working environment data of the oil cooler through the temperature sensor, the pressure sensor, the flow meter, the sonar sensor, and the infrared imager; Step S5: constructing a digital twin model simulating the working environment of the oil cooler according to the working environment data of the oil cooler; Step S6: Integrate the digital twin model constructed in step S5 into the control system of the oil cooler, and use the digital twin model to dynamically adjust the working parameters of the oil cooler; The step S2 uses computational fluid dynamics software to simulate the three-dimensional model of the oil cooler, including: Step S2-1: importing the three-dimensional model of the oil cooler created in step S1 into ANSYS Fluent software; Step S2-2: defining boundary conditions, including the inlet flow rate, inlet temperature, outlet pressure of the oil cooler and the ambient temperature of the oil cooler; Step S2-3: Setting the thermal conductivity, specific heat capacity and density of the cooling medium of the oil cooler; Step S2-4: Meshing the three-dimensional model of the oil cooler using ANSYS Fluent software; Step S2-5: Configure the physical model and set the solver in ANSYS Fluent software; Step S2-5-1: Configure the physical model and select the unidirectional flow model; Step S2-5-2: Select the pressure solver and set the residual threshold; Step S2-6: Perform simulation using ANSYS Fluent software and record intermediate result data generated during the calculation process; The specific dimensional structures of the heat dissipating fins (8), the end plate A (1), the end plate B (2) and the side plate (3) in step S3 include the distance between the heat dissipating fins (8), the cross-sectional shape and thickness of the heat dissipating fins (8), the shapes of the end plate A (1) and the end plate B (2), the size and position of the flow channels (7) opened on the end plate A (1) and the end plate B (2), and the sheet metal flange (301) structure of the side plate (3).

2. The heat exchange calculation method of a flying car oil cooler according to claim 1 is characterized in that: In step S3, the specific size structure of the heat dissipation fins (8), the end plate A (1), the end plate B (2) and the side plate (3) in the oil cooler is designed based on the simulation results, including: Step S3-1: Analyze the intermediate result data obtained in step S2-6; Step S3-2: Determine the optimization target; Step S3-3: Select an optimization algorithm; Step S3-4: Define design variables.

3. The heat exchange calculation method of a flying car oil cooler according to claim 1 is characterized in that: The step S5 of constructing a digital twin model simulating the working environment of the oil cooler according to the working environment data of the oil cooler includes: Step S5-1: collecting data generated by the oil cooler in an actual working environment; Step S5-2: Arrange and clean the collected data; Step S5-3: Use the cleaned data to build a digital twin model of the oil cooler.

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