Response surface-based hydrogen storage tank cooling fin parameter optimization method

Abstract

The invention provides a hydrogen storage tank cooling fin parameter optimization method based on a response surface. The hydrogen storage tank cooling fin parameter optimization method specifically comprises the following steps that S1, SWamp is carried out; a Workbench joint environment is built, and the working environment is built; step S2, establishing a parameterized model of the trapezoidal heat dissipation fins in SolidWorks; step S3, carrying out sampling on the parameters on the basis of an Optimal Space-Filling Design sampling method, and carrying out sampling on the parameters on the basis of the Optimal Space-Filling Design sampling method; s4, constructing a finite element model, and performing temperature field simulation on heat dissipation of the hydrogen storage tank; and S5, performing optimization based on sample point data analysis to obtain a relationship between the bevel edge angle of the trapezoidal heat dissipation fin and the heat dissipation performance of the hydrogen storage tank, and obtaining an optimal bevel edge angle of the trapezoidal heat dissipation fin. By simulating the heat dissipation process of the hydrogen storage tank and by means of a finite element method, the influence of the bevel edge angle parameters of the trapezoidal heat dissipation fins on the performance of the heat dissipation fins is explored, and theoretical guidance can be provided for design of the heat dissipation fins of the hydrogen storage tank.

Description

Technical Field

[0001] The present invention relates to the field of heat dissipation analysis of new energy hydrogen storage tanks, and in particular to a method for optimizing heat dissipation fin parameters of hydrogen storage tanks based on a response surface. Background Art

[0002] Hydrogen energy is a clean energy source and has attracted much attention in the current context of energy transformation and climate change. A hydrogen storage tank is a device used to store hydrogen and is one of the key components of hydrogen energy technology and applications. The heat dissipation performance of a hydrogen storage tank is crucial to ensuring the safety of hydrogen and the stable operation of the hydrogen storage system. The structural design of a hydrogen storage tank is also an important factor affecting the heat dissipation performance. By designing a reasonable heat dissipation structure, such as adding heat sinks, the heat dissipation effect of the hydrogen storage tank can be enhanced and the temperature rise of the hydrogen storage tank can be effectively reduced. A reasonable heat dissipation fin structure can improve the heat dissipation performance of the hydrogen storage tank, make the temperature distribution more uniform, and improve the hydrogen storage efficiency. Summary of the invention

[0003] The purpose of the present invention is to propose a method for optimizing the parameters of the heat dissipation fins of a hydrogen storage tank based on a response surface, simulate the heat dissipation process of the hydrogen storage tank, and use the finite element method to explore the influence of the bevel angle parameters of the trapezoidal heat dissipation fins on its performance. Not only the angle can be parameterized, but other side lengths and angle parameters can also be analyzed according to this method, which can provide theoretical guidance for the design of the heat dissipation fins of the hydrogen storage tank.

[0004] To achieve the above object, the technical solution of the present invention is: a method for optimizing the parameters of the heat dissipation fins of a hydrogen storage tank based on a response surface, which specifically comprises the following steps:

[0005] Step S1, build a SW & Workbench joint environment;

[0006] Step S2, establishing a parametric model of a trapezoidal heat sink fin in SolidWorks;

[0007] Step S3, sampling parameters based on the Optimal Space-Filling Design sampling method;

[0008] Step S4, constructing a finite element model to simulate the temperature field of the heat dissipation of the hydrogen storage tank;

[0009] Step S5: Based on the sample point data analysis, optimization is performed to obtain the relationship between the bevel angle of the trapezoidal heat dissipating fins and the heat dissipation performance of the hydrogen storage tank, and the optimal bevel angle of the trapezoidal heat dissipating fins is obtained.

[0010] Preferably, the step S1 specifically includes:

[0011] Step S11, in ANSYS-CAD Configuration Manager, check the WorkbenchAssociative Interface in SolidWorks to complete the interaction;

[0012] Step S12, add reading of SolidWorks parametric settings in Workbench-Tools-Options-geometry import.

[0013] Preferably, the step S2 specifically includes:

[0014] Step S21, establishing a hydrogen storage tank model in SolidWorks, and parameterizing the bevel angle of the trapezoidal heat dissipation fin, wherein the bevel angle of the trapezoidal heat dissipation fin includes an upper bevel angle and a lower bevel angle;

[0015] Step S22, confirming that the parameterized model of the trapezoidal heat sink fins meets the modeling requirements, specifically checking whether the dimensions meet the requirements, the dimensions including fin height, thickness, width, spacing and substrate size.

[0016] Preferably, the step S3 specifically includes:

[0017] Step S31, based on the trapezoidal heat sink fin parameterized model established in step S2, a model-grid-Fluent-parameter optimization analysis system is built in Workbench to provide a necessary working environment for subsequent steps;

[0018] Step S32, based on the Optimal Space-Filling Design sampling method, 9 sample points are taken in the parameter space, and each sample point corresponds to a set of specific parameter values.

[0019] Preferably, the step S4 specifically includes:

[0020] Step S41, enter the Fluent-mesh module, use the watertight workflow method to mesh the hydrogen storage tank, and check whether the mesh quality meets the requirements;

[0021] Step S42, setting the Fluent analysis model, selecting the pressure-based solver, opening the energy equation, using the standard k-epsilon model, and setting the working temperature, working pressure, and gravity;

[0022] Step S43: Set the fluid material to gaseous hydrogen and the solid material to aluminum; the hydrogen storage mineral is simulated using a porous medium model; the gas region uses an energy source term to simulate hydrogen storage heat generation, with an energy of 2000W / m 3; Boundary condition settings: inlet velocity 0.002m / s, wall heat transfer coefficient 2.24W / m 2 K, the rest are default;

[0023] Step S44, initialize the model, and then perform monitoring settings, the monitoring contents include heat dissipation efficiency, thermal resistance, and average temperature of the middle section.

[0024] Preferably, the step S5 specifically includes:

[0025] Step S51, simulating the Fluent model constructed above, and recording the key parameters of the heat dissipation performance, including heat dissipation efficiency, thermal resistance, and average temperature of the middle section, for 9 preset different trapezoidal heat dissipation fin sample points (i.e., different combinations of upper bevel angle and lower bevel angle);

[0026] Step S52: parameterized direct solution, for the collected data, a prediction relationship between the fin bevel angle and the heat dissipation performance index is established through a Kriging model, or the relationship between the fin bevel angle and the heat dissipation performance index is directly solved through a mathematical model meta-linear regression;

[0027] Step S53, constructing a response surface model; using the parameter relationship obtained in step S52, a quadratic response surface method is used to construct a model that can predict the heat dissipation performance under any fin bevel angle;

[0028] Step S54, obtaining multiple sets of fin bevel angles and their heat dissipation performance data according to a model capable of predicting heat dissipation performance at any fin bevel angle, performing data analysis and obtaining the optimal upper bevel angle and lower bevel angle of the trapezoidal heat dissipation fin according to the analysis results.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention adopts the Optimal Space-Filling Design sampling method to sample parameters and perform simulation of multiple groups of sample points; optimizes the bevel angle of the trapezoidal fins of the hydrogen storage tank to obtain the most suitable angle; and the obtained bevel angle of the trapezoidal fins of the hydrogen storage tank with the best heat dissipation performance can provide a powerful reference for the design of the heat dissipation fins of the hydrogen storage tank. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 Hydrogen storage tank model;

[0032] Figure 2 It is a schematic diagram of parameterized angles in the hydrogen storage tank model taking sample point 1 as an example;

[0033] Figure 3 Response surface model plot;

[0034] Figure 4 Mid-surface temperature cloud map. DETAILED DESCRIPTION

[0035] The following is combined with Figure 1-4 , the technical solution of the present invention is specifically described.

[0036] The present invention proposes a method for optimizing the parameters of a hydrogen storage tank heat dissipation fin based on a response surface, which specifically comprises the following steps:

[0037] Step S1, build a SW & Workbench joint environment;

[0038] Step S2, establishing a parametric model of a trapezoidal heat sink fin in SolidWorks;

[0039] Step S3, sampling parameters based on the Optimal Space-Filling Design sampling method;

[0040] Step S4, constructing a finite element model to simulate the temperature field of the heat dissipation of the hydrogen storage tank;

[0041] Step S5: Based on the sample point data analysis, optimization is performed to obtain the relationship between the bevel angle of the trapezoidal heat dissipating fins and the heat dissipation performance of the hydrogen storage tank, and the optimal bevel angle of the trapezoidal heat dissipating fins is obtained.

[0042] In this embodiment, the step S1 specifically includes:

[0043] Step S11, in ANSYS-CAD Configuration Manager, check the WorkbenchAssociative Interface in SolidWorks to complete the interaction;

[0044] Step S12, add reading of SolidWorks parametric settings in Workbench-Tools-Options-geometry import.

[0045] In this embodiment, the step S2 specifically includes:

[0046] Step S21, establishing a hydrogen storage tank model in SolidWorks, and parameterizing the bevel angle of the trapezoidal heat dissipation fin, wherein the bevel angle of the trapezoidal heat dissipation fin includes an upper bevel angle and a lower bevel angle;

[0047] Step S22, confirming that the parameterized model of the trapezoidal heat sink fins meets the modeling requirements, specifically checking whether the dimensions meet the requirements, the dimensions including fin height, thickness, width, spacing and substrate size.

[0048] In this embodiment, step S3 specifically includes:

[0049] Step S31, based on the trapezoidal heat sink fin parameterized model established in step S2, a model-grid-Fluent-parameter optimization analysis system is built in Workbench to provide a necessary working environment for subsequent steps;

[0050] Step S32, based on the Optimal Space-Filling Design sampling method, 9 sample points are taken in the parameter space, and each sample point corresponds to a set of specific parameter values.

[0051] In this embodiment, step S4 specifically includes:

[0052] Step S41, enter the Fluent-mesh module, use the watertight workflow method to mesh the hydrogen storage tank, and check whether the mesh quality meets the simulation requirements; for example, use the mesh quality tool to evaluate whether the generated mesh meets the requirements, and check key indicators including mesh skewness, aspect ratio, orthogonality, etc.

[0053] Step S42, setting the Fluent analysis model, selecting the pressure-based solver, opening the energy equation, using the standard k-epsilon model, and setting the working temperature, working pressure, and gravity;

[0054] Step S43, set the fluid material to gaseous hydrogen and the solid material to aluminum; the hydrogen storage mineral is simulated using a porous medium model; because the present invention only focuses on the heat dissipation performance of the hydrogen storage tank, the hydrogen charging and discharging process is not considered; the gas region uses the energy source term to simulate the heat generation of hydrogen storage, and the energy is 2000W / m 3 ; Boundary condition settings: inlet velocity 0.002m / s, wall heat transfer coefficient 2.24W / m 2 K, the rest are default;

[0055] Step S44, initialize the model, and then perform monitoring settings, the monitoring contents include heat dissipation efficiency, thermal resistance, average temperature of the middle section, and calculate the plane temperature CV value.

[0056] In this embodiment, step S5 specifically includes:

[0057] Step S51, simulate the Fluent model constructed above, use the Optimal Space-FillingDesign sampling method, set 9 trapezoidal heat sink fin sample points with different angles (i.e., different combinations of upper bevel angles and lower bevel angles), and record the key parameters of heat dissipation performance, including heat dissipation efficiency, thermal resistance, and average temperature of the mid-section.

[0058] Step S52, parameterized direct solution, for the collected data, a predictive relationship between the fin bevel angle and the heat dissipation performance index is established through the Kriging model, or the relationship between the fin bevel angle and the heat dissipation performance index is directly solved through the mathematical model meta-linear regression.

[0059] Step S53, constructing a response surface model, using the parameter relationship obtained in step S52, and using the second-order response surface method to construct a model that can predict the heat dissipation performance of the trapezoidal heat dissipation fins at different bevel angles.

[0060] Step S54, obtaining multiple sets of fin bevel angles and their heat dissipation performance data according to a model capable of predicting heat dissipation performance at any fin bevel angle, performing data analysis and obtaining the optimal upper bevel angle and lower bevel angle of the trapezoidal heat dissipation fin according to the analysis results.

[0061] In this embodiment, data of 9 sample points are shown in Table 1. The optimal upper and lower bevel angles of the trapezoidal heat sink fins calculated by the second-order response surface method are 81° and 99°, respectively; the average temperature of the middle surface is 370.5K, which is 4.89% lower than that of the original rectangular heat sink fin structure at 389.57K. According to the standard of the optimal angle, the middle surface temperature is the lowest and the heat dissipation efficiency is the highest, which meets the working safety and performance requirements of the hydrogen storage tank. The optimal upper and lower bevel angles of the trapezoidal heat sink fins are 81° and 99°, respectively.

[0062] Table 1 Sample point data

[0063] Sample points Parameterized angle 1 / (°) Parameterized angle 2 / (°) Average temperature of mid-surface / (k) 1 94 84 380.06 2 98 88 380.7 3 86 94 372.68 4 92 92 375.59 5 84 82 376.29 6 88 86 376.2 7 90 98 372.58 8 96 96 376.03 9 82 90 373.19

[0064] The above are preferred embodiments of the present invention. Any changes made according to the technical solution of the present invention, as long as the resulting functions do not exceed the scope of the technical solution of the present invention, belong to the protection scope of the present invention.

Claims

1. A method for optimizing the parameters of heat dissipation fins of a hydrogen storage tank based on response surface, characterized in that: The specific steps include: Step S1, build a SW & Workbench joint environment; Step S2, establishing a parametric model of a trapezoidal heat sink fin in SolidWorks; Step S3, sampling parameters based on the Optimal Space-Filling Design sampling method; Step S4, constructing a finite element model to simulate the temperature field of the heat dissipation of the hydrogen storage tank; Step S5: Based on the sample point data analysis, optimization is performed to obtain the relationship between the bevel angle of the trapezoidal heat dissipating fins and the heat dissipation performance of the hydrogen storage tank, and the optimal bevel angle of the trapezoidal heat dissipating fins is obtained.

2. A method for optimizing the parameters of the heat dissipation fins of a hydrogen storage tank based on a response surface as claimed in claim 1, characterized in that: The step S1 specifically includes: Step S11, in ANSYS-CAD Configuration Manager, check the WorkbenchAssociative Interface in SolidWorks to complete the interaction; Step S12, add reading of SolidWorks parametric settings in Workbench-Tools-Options-geometry import.

3. A method for optimizing the parameters of heat dissipation fins of a hydrogen storage tank based on a response surface as claimed in claim 1, characterized in that: The step S2 specifically includes: Step S21, establishing a hydrogen storage tank model in SolidWorks, and parameterizing the bevel angle of the trapezoidal heat dissipation fin, wherein the bevel angle of the trapezoidal heat dissipation fin includes an upper bevel angle and a lower bevel angle; Step S22, confirming that the parameterized model of the trapezoidal heat sink fins meets the modeling requirements, specifically checking whether the dimensions meet the requirements, the dimensions including fin height, thickness, width, spacing and substrate size.

4. A method for optimizing the parameters of heat dissipation fins of a hydrogen storage tank based on a response surface as claimed in claim 1, characterized in that: The step S3 specifically includes: Step S31, based on the trapezoidal heat sink fin parameterized model established in step S2, a model-grid-Fluent-parameter optimization analysis system is built in Workbench to provide a necessary working environment for subsequent steps; Step S32, based on the Optimal Space-Filling Design sampling method, 9 sample points are taken in the parameter space, and each sample point corresponds to a set of specific parameter values.

5. A method for optimizing the parameters of heat dissipation fins of a hydrogen storage tank based on a response surface as claimed in claim 1, characterized in that: The step S4 specifically includes: Step S41, enter the Fluent-mesh module, use the watertight workflow method to mesh the hydrogen storage tank, and check whether the mesh quality meets the requirements; Step S42, setting the Fluent analysis model, selecting the pressure-based solver, opening the energy equation, using the standard k-epsilon model, and setting the working temperature, working pressure, and gravity; Step S43: Set the fluid material to gaseous hydrogen and the solid material to aluminum; the hydrogen storage mineral is simulated using a porous medium model; the gas region uses an energy source term to simulate hydrogen storage heat generation, with an energy of 2000W / m 3 ; Boundary condition settings: inlet velocity 0.002m / s, wall heat transfer coefficient 2.24W / m 2 K, the rest are default; Step S44, initialize the model, and then perform monitoring settings, the monitoring contents include heat dissipation efficiency, thermal resistance, and average temperature of the middle section.

6. A method for optimizing the parameters of heat dissipation fins of a hydrogen storage tank based on a response surface as claimed in claim 1, characterized in that: The step S5 specifically includes: Step S51, simulating the Fluent model constructed above, and recording key parameters of heat dissipation performance, including heat dissipation efficiency, thermal resistance, and average temperature of the middle section, for 9 preset different trapezoidal heat dissipation fin sample points; Step S52: parameterized direct solution, for the collected data, a prediction relationship between the fin bevel angle and the heat dissipation performance index is established through a Kriging model, or the relationship between the fin bevel angle and the heat dissipation performance index is directly solved through a mathematical model meta-linear regression; Step S53, constructing a response surface model; using the parameter relationship obtained in step S52, a quadratic response surface method is used to construct a model that can predict the heat dissipation performance under any fin bevel angle; Step S54, obtaining multiple sets of fin bevel angles and their heat dissipation performance data according to a model capable of predicting heat dissipation performance at any fin bevel angle, performing data analysis and obtaining the optimal upper bevel angle and lower bevel angle of the trapezoidal heat dissipation fin according to the analysis results.

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