Temperature prediction method, device, equipment and medium in fluid-solid conjugate heat transfer process

By meshing the fluid domain and the solid domain and determining the iterative strategy, the temperature prediction of fluid-solid conjugate heat transfer is performed, which solves the problems of low temperature prediction accuracy and waste of computing resources in the existing technology, and achieves a more efficient , accurate temperature prediction effect.

CN119150584BActive Publication Date: 2025-01-24CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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Patent Information

Application Number
CN202411640143.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-01-24
Estimated Expiration
2044-11-18

AI Technical Summary

Technical Problem

The prior art is difficult to achieve efficient and accurate temperature prediction during flow-solid conjugated heat transfer, especially in aerodynamic-heat transfer simulation analysis of turbine blades, where engineering applications are low and computational resources are wasted.

Method used

By dividing the grid of the fluid domain and solid domain, it is determined to determine the iterative strategy, including the one -step generation solution strategy and the N -step generation solution strategy, and the computing of the heat iteration of the co -transmission. Wall temperature.

Benefits of technology

A more efficient and accurate temperature prediction in the process of flowing the same heat, adapting the adaptive coupling iteration mechanism for the adaptive heat transmission heat, reducing the waste of computing resources, and improving the accuracy of engineering applications.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present application discloses a method, device, equipment and medium for predicting temperature in a fluid-solid conjugate heat transfer process. The method includes: meshing the initial model of the fluid domain and the initial model of the solid domain respectively to obtain a fluid domain mesh model and a solid domain mesh model; determining an iteration strategy based on the model information of the fluid domain mesh model and the model information of the solid domain mesh model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy; performing conjugate heat transfer iterative calculations on the fluid domain and the solid domain according to the iteration strategy to obtain the fluid domain temperature field distribution, the solid domain temperature field distribution and the fluid-solid coupling wall temperature. Applying the technical solution provided by the present application, the temperature prediction of the fluid-solid conjugate heat transfer process can be performed more efficiently and accurately.
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Description

Technical Field

[0001] The present application relates to the field of heat transfer technology, and in particular to a temperature prediction method in a fluid-solid conjugate heat transfer process, and also to a temperature prediction device, electronic equipment and computer-readable storage medium in a fluid-solid conjugate heat transfer process. Background Art

[0002] The problem of high-precision and efficient temperature prediction of air-cooled turbine blades for aircraft engines has always been one of the major and difficult problems faced in aerodynamic-heat transfer numerical simulation analysis. Since the flow and heat transfer processes in the turbine are usually complex, early turbine designs are usually based on design experience, and it is easy to ignore the physical behavior of the coupling effect of heat transfer and structure on aerodynamic performance, which will lead to serious lack of temperature accuracy of the designed turbine and cooling failure. The aerodynamic-heat transfer simulation analysis of high-pressure air-cooled turbine blades in China has always faced the problem of low accuracy in engineering applications.

[0003] In the field of conjugate heat transfer calculation, there is a well-developed fluid-heat coupling calculation model based on heat flux conservation. In the current common coupling iteration strategy, whether it is steady or unsteady calculation, grid-centered grid or grid-point grid, the fluid-solid coupling surface is a matching grid or a non-matching grid. In order to ensure the accuracy of the temperature involved in the coupling calculation, it is usually necessary to first calculate in the fluid domain and the solid domain to reach a certain convergence equilibrium state, and then start the coupling calculation based on this convergence state. This iteration method requires both fields to reach a convergence state first, and after exchanging data, in each subsequent sub-coupling iteration process, more sub-flow field iteration steps and sub-solid iteration steps are still required, which is time-consuming and labor-intensive, and wastes computing resources. In addition, when the calculation results cannot be predicted or there is no experimental data as a reference for the initial conditions, the calculation results of this iteration method are likely to be affected by the initial conditions, which is not conducive to engineering applications.

[0004] Therefore, how to more efficiently and accurately predict the temperature of the fluid-solid conjugate heat transfer process is an urgent problem to be solved by technical personnel in this field. Summary of the invention

[0005] The purpose of the present application is to provide a temperature prediction method in a fluid-solid conjugate heat transfer process, which can perform more efficient and accurate temperature prediction on the fluid-solid conjugate heat transfer process; another purpose of the present application is to provide a temperature prediction device, electronic device and computer-readable storage medium in a fluid-solid conjugate heat transfer process, all of which have the above-mentioned beneficial effects.

[0006] In a first aspect, the present application provides a method for predicting temperature in a fluid-solid conjugate heat transfer process, comprising:

[0007] Meshing the fluid domain initial model and the solid domain initial model respectively to obtain a fluid domain mesh model and a solid domain mesh model;

[0008] Determining an iteration strategy according to the model information of the fluid domain grid model and the model information of the solid domain grid model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy;

[0009] According to the iterative strategy, conjugate heat transfer iterative calculations are performed on the fluid domain and the solid domain to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature.

[0010] Optionally, when the iteration strategy is the one-step solution strategy, conjugate heat transfer iterative calculation is performed on the fluid domain and the solid domain according to the iteration strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature, including:

[0011] Performing a sub-iterative step solution according to the state in the fluid domain to obtain the current fluid domain temperature field distribution;

[0012] Solving according to the current boundary conditions of the solid domain to obtain the current temperature field distribution of the solid domain;

[0013] Determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet corresponding preset conditions;

[0014] If not, the current fluid-solid coupling wall temperature is calculated according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and the step of performing a sub-iteration step solution according to the domain state of the fluid domain to obtain the current fluid domain temperature field distribution is returned according to the current fluid-solid coupling wall temperature;

[0015] If so, the current fluid domain temperature field distribution is used as the fluid domain temperature field distribution, the current solid domain temperature field distribution is used as the solid domain temperature field distribution, and the fluid-solid coupling wall temperature is determined according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0016] Optionally, when the iteration strategy is the N-step generation solution strategy, conjugate heat transfer iterative calculation is performed on the fluid domain and the solid domain according to the iteration strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature, including:

[0017] Performing N-step sub-iteration steps to solve the fluid domain according to the state in the fluid domain to obtain the current fluid domain temperature field distribution;

[0018] Solving according to the current boundary conditions of the solid domain to obtain the current temperature field distribution of the solid domain;

[0019] Determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet corresponding preset conditions;

[0020] If not, the current fluid-solid coupling wall temperature is calculated according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and the current fluid-solid coupling wall temperature is returned to the step of performing N sub-iteration steps according to the domain state of the fluid domain to obtain the current fluid domain temperature field distribution;

[0021] If so, the current fluid domain temperature field distribution is used as the fluid domain temperature field distribution, the current solid domain temperature field distribution is used as the solid domain temperature field distribution, and the fluid-solid coupling wall temperature is determined according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0022] Optionally, the fluid-solid coupling wall temperature is calculated according to the fluid domain temperature field distribution and the solid domain temperature field distribution, including:

[0023] The temperature field distribution of the fluid domain and the temperature field distribution of the solid domain are calculated according to the heat flux conservation formula of the fluid-solid coupling wall to obtain the fluid-solid coupling wall temperature; wherein the heat flux conservation formula is:

[0024] ;

[0025] in, represents the fluid domain, represents the solid domain, and denote the thermal conductivity coefficients of the fluid domain and the solid domain, respectively, and represent the distances between the first layer of mesh nodes near the wall of the fluid domain and the solid domain and the fluid-solid coupling wall, and represent the temperatures of the first layer of mesh nodes near the wall of the fluid domain and the solid domain respectively, The value of is determined according to the temperature field distribution of the fluid domain. The value of is determined according to the temperature field distribution of the solid domain. represents the fluid-solid interaction wall temperature.

[0026] Optionally, determining an iteration strategy according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model includes:

[0027] Determining the model complexity according to the model information of the fluid domain grid model and the model information of the solid domain grid model; the model information includes a combination of one or more of the model type, the number of model grids, and the size of model grids;

[0028] When the model complexity does not exceed a preset threshold, determining that the iteration strategy is the one-step generation solution strategy;

[0029] When the model complexity exceeds a preset threshold, the iteration strategy is determined to be the N-step generation solution strategy.

[0030] Optionally, before determining the iteration strategy according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model, the method further includes:

[0031] Perform computational domain initialization processing on the fluid domain and solid domain respectively;

[0032] The computational domain initialization process includes: setting the wall type and / or initial temperature of the fluid domain and the solid domain.

[0033] Optionally, meshing the fluid domain initial model and the solid domain initial model is performed respectively to obtain a fluid domain mesh model and a solid domain mesh model, including:

[0034] Meshing the fluid domain initial model and the solid domain initial model respectively according to the domain states of the fluid domain and the solid domain and the performance of computing equipment to obtain the fluid domain mesh model and the solid domain mesh model;

[0035] The grid division includes one or more combinations of overall grid division, local grid encryption, local grid refinement, and boundary layer grid addition.

[0036] In a second aspect, the present application also discloses a temperature prediction device in a fluid-solid conjugate heat transfer process, comprising:

[0037] A partitioning module is used to partition the fluid domain initial model and the solid domain initial model into grids to obtain a fluid domain grid model and a solid domain grid model;

[0038] A determination module, used to determine an iteration strategy according to the model information of the fluid domain grid model and the model information of the solid domain grid model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy;

[0039] The calculation module is used to perform conjugate heat transfer iterative calculation on the fluid domain and the solid domain according to the iterative strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature.

[0040] In a third aspect, the present application further discloses an electronic device, comprising:

[0041] Memory for storing computer programs;

[0042] A processor is used to implement the steps of any of the temperature prediction methods in the fluid-solid conjugate heat transfer process described above when executing the computer program.

[0043] In a fourth aspect, the present application further discloses a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the temperature prediction method in any fluid-solid conjugate heat transfer process as described above are implemented.

[0044] The present application provides a temperature prediction method in a fluid-solid conjugate heat transfer process, comprising: meshing an initial model of a fluid domain and an initial model of a solid domain, respectively, to obtain a fluid domain mesh model and a solid domain mesh model; determining an iteration strategy based on model information of the fluid domain mesh model and model information of the solid domain mesh model; the iteration strategy comprises a one-step generation solution strategy and an N-step generation solution strategy; performing conjugate heat transfer iterative calculations on the fluid domain and the solid domain according to the iteration strategy to obtain a fluid domain temperature field distribution, a solid domain temperature field distribution, and a fluid-solid coupling wall temperature.

[0045] By applying the technical solution provided in this application, grid models of the fluid domain and the solid domain are created respectively, and the coupling iteration strategy in the fluid-solid conjugate heat transfer process is determined according to the model information, so as to use different coupling iteration strategies according to different grid models for fluid-solid conjugate heat transfer calculation, thereby obtaining the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain, and the fluid-solid coupling wall temperature. It can be seen that this technical solution realizes an adaptive coupling iteration mechanism for adaptive conjugate heat transfer, and can use the coupling iteration strategy that is most suitable for the real state of the fluid-solid domain to realize fluid-solid conjugate heat transfer calculation, thereby realizing more accurate and efficient temperature prediction.

[0046] The temperature prediction device, electronic device and computer-readable storage medium in the fluid-solid conjugate heat transfer process provided in this application also have the above-mentioned technical effects, which will not be repeated in this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the prior art and the embodiments of the present application, the drawings required for use in the description of the prior art and the embodiments of the present application are briefly introduced below. Of course, the drawings described below in relation to the embodiments of the present application are only part of the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without creative work, and the obtained other drawings also belong to the protection scope of the present application.

[0048] Figure 1 A schematic flow chart of a temperature prediction method in a fluid-solid conjugate heat transfer process provided in this application;

[0049] Figure 2 A schematic flow chart of another temperature prediction method in a fluid-solid conjugate heat transfer process provided by the present application;

[0050] Figure 3 A schematic diagram of the structure of a temperature prediction device in a fluid-solid conjugate heat transfer process provided by the present application;

[0051] Figure 4 A schematic diagram of the structure of an electronic device provided in this application. DETAILED DESCRIPTION

[0052] The core of the present application is to provide a temperature prediction method in a fluid-solid conjugate heat transfer process, which can perform more efficient and accurate temperature prediction on the fluid-solid conjugate heat transfer process; another core of the present application is to provide a temperature prediction device, electronic device and computer-readable storage medium in a fluid-solid conjugate heat transfer process, all of which have the above-mentioned beneficial effects.

[0053] In order to describe the technical solutions in the embodiments of the present application more clearly and completely, the technical solutions in the embodiments of the present application will be introduced below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0054] An embodiment of the present application provides a method for predicting temperature in a fluid-solid conjugate heat transfer process.

[0055] Please refer to Figure 1 , Figure 1 This is a schematic flow chart of a temperature prediction method in a fluid-solid conjugate heat transfer process provided in the present application. The temperature prediction method in the fluid-solid conjugate heat transfer process may include the following S101 to S103.

[0056] S101: Meshing the fluid domain initial model and the solid domain initial model respectively to obtain a fluid domain mesh model and a solid domain mesh model.

[0057] This step aims to realize the model meshing of the fluid domain and the solid domain to obtain the fluid domain mesh model and the solid domain mesh model. This process can be implemented according to the current computing needs and combined with historical computing experience. Specifically, the meshing can be implemented in the computational domains of the fluid domain and the solid domain respectively. The meshing in the computational domain is due to the need to establish equations at the nodes, and the solution domain is divided into a finite number of discrete units. Among them, the fluid domain initial model is the fluid domain model without meshing, and the solid domain initial model is the solid domain model without meshing. After the meshing is completed, the fluid domain mesh model and the solid domain mesh model can be obtained. Furthermore, after the meshing is completed, both can be imported into the calculation program for subsequent processing.

[0058] In one embodiment of the present application, meshing the fluid domain initial model and the solid domain initial model respectively to obtain the fluid domain mesh model and the solid domain mesh model may include:

[0059] Meshing the fluid domain initial model and the solid domain initial model respectively according to the domain states of the fluid domain and the solid domain and the performance of the computing device, and obtaining the fluid domain mesh model and the solid domain mesh model;

[0060] The grid division includes one or more combinations of overall grid division, local grid encryption, local grid refinement, and boundary layer grid addition.

[0061] The embodiment of the present application provides a method for implementing meshing of the initial model of the fluid domain and the initial model of the solid domain, that is, it can be implemented by referring to the domain state of the fluid domain and the solid domain and the performance of the computing device. It can be understood that the quality of meshing will directly affect the solution accuracy and solution stability in the respective solution domains. Therefore, the basic requirements for meshing depend on the calculation purpose and the required solution accuracy. The specific implementation process may involve overall meshing, local mesh encryption, local mesh refinement, boundary layer mesh addition, etc.

[0062] For example, for fluid domains, the mesh can be locally encrypted where the flow is complex; for walls that need to consider viscosity, a boundary layer mesh of appropriate number and thickness can be added. For solid domains, additional mesh refinement can be performed at locations where stress concentration in the computational domain occurs, where the shape or geometric features change dramatically, or where physical quantities change significantly and can be roughly predicted through computational / experimental experience.

[0063] In addition, since the solution process of conjugate heat transfer involves a large number of iterations, the computational solution capabilities of the equipment used (i.e., the performance of the computing equipment mentioned above) must also be considered when dividing the grid, so that the final number of grids can be controlled within a reasonable range, and the efficiency of iterations in a single time step of the fluid and solid domains can be guaranteed within an acceptable time range. It can be imagined that as long as the grid division of the solid and fluid domains is reasonable, the accuracy of subsequent temperature prediction can be effectively guaranteed.

[0064] S102: determining an iteration strategy according to model information of the fluid domain mesh model and model information of the solid domain mesh model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy.

[0065] This step aims to determine the coupling iteration strategy, which includes a one-step generation solution strategy and an N-step generation solution strategy. The specific strategy can be determined based on the model information of the fluid domain mesh model and the solid domain mesh model. Of course, in order to ensure the calculation accuracy, the information such as the domain state of the fluid domain and the solid domain can also be comprehensively considered to determine the coupling iteration strategy that is most suitable for the real state of the fluid-solid domain for fluid-solid conjugate heat transfer calculation.

[0066] In one embodiment of the present application, determining an iteration strategy according to model information of a fluid domain mesh model and model information of a solid domain mesh model may include:

[0067] Determine the model complexity according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model; the model information includes a combination of one or more of the model type, the number of model meshes, and the model mesh size;

[0068] When the model complexity does not exceed the preset threshold, the iteration strategy is determined to be a one-step generation solution strategy;

[0069] When the model complexity exceeds a preset threshold, the iteration strategy is determined to be an N-step generation solution strategy.

[0070] The embodiment of the present application provides a method for determining a coupling iteration strategy, that is, the model complexity can be determined according to the model information of the fluid domain mesh model and the solid domain mesh model. If the model complexity is high, the N-step generation solution strategy can be selected, and if the model complexity is low, the one-step generation solution strategy can be used. The model information may include but is not limited to the model type, the number of model meshes, the model mesh size, etc.

[0071] Taking the fluid domain as an example, when the turbulence model used for flow field solution (fluid flow solution, if accuracy is considered, usually cannot be simply regarded as laminar flow, but needs to be calculated as turbulent flow) is relatively simple and the number of flow field grids is small (such as within 5 million grids), the time domain temperature change of the flow field sub-iteration step will be small (generally less than 20K), and the number of convergence steps of the flow field itself will also be small (that is, the flow field itself can quickly reach the convergence state, generally less than 10,000 steps for self-developed software, and usually within a few minutes for commercial software). At this time, it is advisable to adopt a one-step generation solution strategy. When the flow field itself has a complex grid structure (usually refers to a complex flow field channel, such as many turns or flow field inlets and outlets, etc., which leads to complex flow states that are difficult to solve), the number of convergence steps will be large, the time consumption will be long, and the time domain temperature change will be more obvious (generally ≥20K). At this time, it is advisable to adopt an N-step generation solution strategy.

[0072] It is understandable that the numerical simulation of turbulence is generally divided into direct numerical simulation (DNS), Reynolds Averaged Navier-Stokes (RANS), large eddy simulation (LES) and transition model method. Among them, the more common ones are the DNS method and the RANS method. Under the RANS method, the SA model, the standard k-ε model and the standard SST k-ω model are the most common. There are various optimization methods based on these basic models. On this basis, the DNS method, the standard SA model, the standard k-ε model and the standard SST k-ω model can be considered as relatively simple and common turbulence models.

[0073] S103: Perform conjugate heat transfer iterative calculations on the fluid domain and the solid domain according to the iterative strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain, and the fluid-solid coupling wall temperature.

[0074] This step aims to realize the iterative calculation of conjugate heat transfer in the fluid domain and the solid domain according to the selected coupling iteration strategy, and obtain the temperature field distribution of the two (i.e. the above-mentioned fluid domain temperature field distribution, solid domain temperature field distribution) and the fluid-solid coupling wall temperature between the two (i.e. the above-mentioned fluid-solid coupling wall temperature), thereby realizing the temperature prediction in the fluid-solid conjugate heat transfer process.

[0075] In one embodiment of the present application, when the iteration strategy is a one-step generation solution strategy, conjugate heat transfer iterative calculation is performed on the fluid domain and the solid domain according to the iteration strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain, and the fluid-solid coupling wall temperature, including:

[0076] According to the state in the fluid domain, a sub-iteration step is performed to obtain the current temperature field distribution in the fluid domain;

[0077] Solve according to the current boundary conditions of the solid domain to obtain the current temperature field distribution of the solid domain;

[0078] Determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet corresponding preset conditions;

[0079] If not, the current fluid-solid coupling wall temperature is calculated according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and the current fluid-solid coupling wall temperature is returned to perform a sub-iteration step according to the domain state of the fluid domain to obtain the step of the current fluid domain temperature field distribution;

[0080] If so, the current fluid domain temperature field distribution is used as the fluid domain temperature field distribution, the current solid domain temperature field distribution is used as the solid domain temperature field distribution, and the fluid-solid coupling wall temperature is calculated based on the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0081] Specifically, the one-step generation solution strategy is used to solve in the fluid domain to obtain the current fluid domain temperature field distribution, and the solid domain boundary conditions are used to solve in the solid domain to obtain the current solid domain temperature field distribution. At this time, the iteration condition judgment can be performed, including: whether the temperature residual between the current fluid domain temperature field distribution and the previous fluid domain temperature field distribution is within the maximum allowable temperature residual range given by the user, whether the temperature residual between the current solid domain temperature field distribution and the previous solid domain temperature field distribution is within the maximum allowable temperature residual range given by the user, and whether the current iteration step is within the maximum allowable number of iterations given by the user. If any of the above conditions is not met, the current fluid-solid coupling wall temperature calculation can be performed, and the current fluid-solid coupling wall temperature is assigned to the corresponding node of the fluid-solid coupling boundary surface, and then the temperature field distribution solution step of the fluid domain and the solid domain is returned to continue the iteration; conversely, if all of the above conditions are met, the fluid-solid coupling wall temperature calculation can be performed directly to obtain the final fluid domain temperature field distribution, solid domain temperature field distribution and fluid-solid coupling wall temperature.

[0082] In one embodiment of the present application, when the iteration strategy is an N-step generation solution strategy, conjugate heat transfer iterative calculation is performed on the fluid domain and the solid domain according to the iteration strategy to obtain the fluid domain temperature field distribution, the solid domain temperature field distribution and the fluid-solid coupling wall temperature, including:

[0083] According to the state in the fluid domain, N sub-iteration steps are performed to solve the problem and obtain the current temperature field distribution in the fluid domain;

[0084] Solve according to the current boundary conditions of the solid domain to obtain the current temperature field distribution of the solid domain;

[0085] Determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet corresponding preset conditions;

[0086] If not, the current fluid-solid coupling wall temperature is calculated according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and the current fluid-solid coupling wall temperature is returned to perform N steps of sub-iteration according to the domain state of the fluid domain to obtain the step of the current fluid domain temperature field distribution;

[0087] If so, the current fluid domain temperature field distribution is used as the fluid domain temperature field distribution, the current solid domain temperature field distribution is used as the solid domain temperature field distribution, and the fluid-solid coupling wall temperature is determined according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0088] Specifically, the N-step generation solution strategy is used to solve in the fluid domain to obtain the current fluid domain temperature field distribution, and the solution is performed in the solid domain according to the solid domain boundary conditions to obtain the current solid domain temperature field distribution. At this time, the iteration condition judgment can be performed, including: whether the temperature residual between the current fluid domain temperature field distribution and the previous fluid domain temperature field distribution is within the maximum allowable temperature residual range given by the user, whether the temperature residual between the current solid domain temperature field distribution and the previous solid domain temperature field distribution is within the maximum allowable temperature residual range given by the user, and whether the current iteration step number is within the maximum allowable number of iterations given by the user. If any of the above conditions is not met, the current fluid domain can be judged. The solid-fluid coupling wall temperature is calculated, and the current fluid-solid coupling wall temperature is assigned to the corresponding node of the fluid-solid coupling boundary surface, and then the temperature field distribution solution step of the fluid domain and the solid domain is returned to continue the iteration; conversely, if the above conditions are all met, the current fluid domain temperature field distribution is used as the final fluid domain temperature field distribution, and the current solid domain temperature field distribution is used as the final solid domain temperature field distribution, wherein the final fluid domain temperature field distribution includes the coupled wall temperature distribution on the fluid domain side, and the final solid domain temperature field distribution includes the coupled wall temperature distribution of the solid domain, that is, the fluid-solid coupling wall temperature can be directly determined according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0089] In one embodiment of the present application, calculating the fluid-solid coupling wall temperature according to the temperature field distribution in the fluid domain and the temperature field distribution in the solid domain may include:

[0090] According to the heat flux conservation formula of the fluid-solid coupling wall, the temperature field distribution of the fluid domain and the temperature field distribution of the solid domain are calculated to obtain the fluid-solid coupling wall temperature; wherein the heat flux conservation formula is:

[0091] ;

[0092] in, represents the fluid domain, represents the solid domain, and denote the heat transfer coefficients of the fluid domain and the solid domain, respectively. and Respectively represent the distance between the first layer of mesh nodes near the wall of the fluid domain and the solid domain and the fluid-solid coupling wall, and represent the temperature of the first layer of mesh nodes near the wall of the fluid domain and the solid domain respectively, The value of is determined according to the temperature field distribution in the fluid domain. The value of is determined according to the temperature field distribution in the solid domain. represents the fluid-structure interaction wall temperature.

[0093] It can be seen that the temperature prediction method in the fluid-solid conjugate heat transfer process provided by the embodiment of the present application creates grid models of the fluid domain and the solid domain respectively, and determines the coupling iteration strategy in the fluid-solid conjugate heat transfer process based on their model information, so as to use different coupling iteration strategies according to different grid models to perform fluid-solid conjugate heat transfer calculations, thereby obtaining the fluid domain temperature field distribution, the solid domain temperature field distribution, and the fluid-solid coupling wall temperature. It can be seen that the present technical solution realizes an adaptive coupling iteration mechanism for adaptive conjugate heat transfer, and can use the coupling iteration strategy that is most suitable for the real state of the fluid-solid domain to realize fluid-solid conjugate heat transfer calculations, thereby realizing more accurate and efficient temperature predictions.

[0094] Based on the above embodiments:

[0095] In one embodiment of the present application, before determining the iteration strategy according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model, the following may also be included:

[0096] Perform computational domain initialization processing on the fluid domain and solid domain respectively;

[0097] The computational domain initialization process includes: setting the wall type and / or initial temperature of the fluid domain and the solid domain.

[0098] Specifically, before the coupling iteration strategy is selected, the computational domain initialization processing can be performed on the fluid domain and the solid domain respectively, so as to set the initial state of the two according to actual needs and ensure the accuracy of the subsequent calculation results. In the embodiment of the present application, the initialization of the computational domain is specifically to preliminarily set the calculation parameters (wall type and / or initial temperature as described above) of the whole field for the initial calculation conditions given by the user. For example, in the fluid calculation domain, it can be set which walls are fluid inlets and outlets, which walls are free walls, which walls are fixed walls, which walls need to consider the viscosity effect, and set the flow field flow velocity and direction (including the angle in the three directions of x, y and z), the initial temperature of the flow, the size of the inlet and outlet pressure, the reference pressure and temperature at the outlet, the initial temperature of the entire flow field and other initial flow field calculation conditions; in the solid calculation domain, it can be set which walls are fixed walls, which walls can consider displacement, and the calculation with temperature also needs to give the initial temperature conditions according to the three initial boundary conditions of heat transfer. In addition, the solid calculation can also complete the preparatory process such as the assembly of the calculation matrix during initialization.

[0099] Based on the above embodiments, the embodiment of the present application provides another temperature prediction method in the fluid-solid conjugate heat transfer process.

[0100] Please refer to the figure, Figure 2 This is a flow chart of another temperature prediction method in a fluid-solid conjugate heat transfer process provided by this application, and its implementation process is as follows:

[0101] 1. Complete the mesh division of fluid domain and solid domain respectively according to the calculation purpose and calculation experience, and import them into the solution program.

[0102] 2. Initialize the computational domain in the fluid domain and solid domain respectively.

[0103] 3. Determine the coupling iteration strategy based on the type of turbulence model to be solved, flow field state, grid size, number of grids, etc.

[0104] 4. Enter the conjugate heat transfer iterative calculation process according to the selected coupling iterative strategy:

[0105] (1) One-step generation solution strategy:

[0106] ① Perform one sub-iteration step in the fluid domain Solve and obtain the temperature field distribution of the fluid domain at the current time step ;

[0107] ② Solve in the solid domain according to the current boundary conditions to obtain the solid domain temperature field distribution at the current time step ;

[0108] ③ Determine the temperature residual at this time (calculate and , compare the two calculated temperature residuals with the maximum allowable temperature residual given by the user) and the number of iterations (compare the current number of iterations with the maximum allowable number of iterations given by the user) to see if they meet the preset requirements. If so, proceed to step 5; otherwise, proceed to step ④; where, Indicates temperature, subscript represents the fluid domain, represents the solid domain, Indicates time, represents the current time step, represents the previous time step;

[0109] ④ The fluid-solid interface coupling temperature is calculated based on the heat flux conservation formula of the fluid-solid coupling wall. Solution;

[0110] ⑤ The calculated coupled wall temperature Assign values ​​to the corresponding nodes on the fluid-solid coupling boundary surface respectively (that is, let the initial temperature of the coupling boundary in the next solution be ), return to step ①.

[0111] (2) N-step generation solution strategy:

[0112] ① Perform N sub-iteration steps in the fluid domain Solve and obtain the temperature field distribution of the fluid domain at the current time step ;

[0113] ② Solve in the solid domain according to the current boundary conditions to obtain the solid domain temperature field distribution at the current time step ;

[0114] ③ Determine the temperature residual at this time (calculate and , compare the two calculated temperature residuals with the maximum allowable temperature residual given by the user) and the number of iterations (compare the current number of iterations with the maximum allowable number of iterations given by the user) to see if they meet the preset requirements. If so, proceed to step 5; otherwise, proceed to step ④; where, Indicates temperature, subscript represents the fluid domain, represents the solid domain, Indicates time, represents the current time step, represents the previous time step;

[0115] ④ The fluid-solid interface coupling temperature is calculated based on the heat flux conservation formula of the fluid-solid coupling wall. Solution;

[0116] ⑤ The calculated coupled wall temperature Assign values ​​to the corresponding nodes on the fluid-solid coupling boundary surface respectively (that is, let the initial temperature of the coupling boundary in the next solution be ), return to step ①.

[0117] 5. Confirm that the conjugate heat transfer calculation has converged, exit the iterative solution, output the calculation result files of the fluid and solid domains, and end the calculation program.

[0118] It can be seen that the temperature prediction method in the fluid-solid conjugate heat transfer process provided by the embodiment of the present application creates grid models of the fluid domain and the solid domain respectively, and determines the coupling iteration strategy in the fluid-solid conjugate heat transfer process based on their model information, so as to use different coupling iteration strategies according to different grid models to perform fluid-solid conjugate heat transfer calculations, thereby obtaining the fluid domain temperature field distribution, the solid domain temperature field distribution, and the fluid-solid coupling wall temperature. It can be seen that the present technical solution realizes an adaptive coupling iteration mechanism for adaptive conjugate heat transfer, and can use the coupling iteration strategy that is most suitable for the real state of the fluid-solid domain to realize fluid-solid conjugate heat transfer calculations, thereby realizing more accurate and efficient temperature predictions.

[0119] An embodiment of the present application provides a temperature prediction device in a fluid-solid conjugate heat transfer process.

[0120] Please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of a temperature prediction device in a fluid-solid conjugate heat transfer process provided by the present application. The temperature prediction device in the fluid-solid conjugate heat transfer process may include:

[0121] A division module 1 is used to divide the fluid domain initial model and the solid domain initial model into grids to obtain a fluid domain grid model and a solid domain grid model;

[0122] Determining module 2, used to determine the iteration strategy according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy;

[0123] The calculation module 3 is used to perform conjugate heat transfer iterative calculation on the fluid domain and the solid domain according to the iterative strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature.

[0124] It can be seen that the temperature prediction device in the fluid-solid conjugate heat transfer process provided by the embodiment of the present application creates grid models of the fluid domain and the solid domain respectively, and determines the coupling iteration strategy in the fluid-solid conjugate heat transfer process according to its model information, so as to use different coupling iteration strategies according to different grid models to perform fluid-solid conjugate heat transfer calculations, thereby obtaining the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain, and the fluid-solid coupling wall temperature. It can be seen that the present technical solution realizes an adaptive coupling iteration mechanism for adaptive conjugate heat transfer, and can use the coupling iteration strategy that is most suitable for the real state of the fluid-solid domain to realize fluid-solid conjugate heat transfer calculations, thereby realizing more accurate and efficient temperature predictions.

[0125] In one embodiment of the present application, when the iteration strategy is a one-step generation solution strategy, the above-mentioned calculation module 3 can be specifically used to perform a one-step sub-iteration solution according to the in-domain state of the fluid domain to obtain the current fluid domain temperature field distribution; solve according to the current boundary conditions of the solid domain to obtain the current solid domain temperature field distribution; determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current number of iteration steps all meet the corresponding preset conditions; if not, calculate the current fluid-solid coupling wall temperature according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and return to the step of performing a one-step sub-iteration solution according to the in-domain state of the fluid domain according to the current fluid-solid coupling wall temperature to obtain the current fluid domain temperature field distribution; if so, use the current fluid domain temperature field distribution as the fluid domain temperature field distribution, use the current solid domain temperature field distribution as the solid domain temperature field distribution, and determine the fluid-solid coupling wall temperature according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0126] In one embodiment of the present application, when the iteration strategy is an N-step generation solution strategy, the above-mentioned calculation module 3 can be specifically used to perform N-step sub-iteration steps to solve according to the in-domain state of the fluid domain to obtain the current fluid domain temperature field distribution; solve according to the current boundary conditions of the solid domain to obtain the current solid domain temperature field distribution; determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current number of iteration steps all meet the corresponding preset conditions; if not, calculate the current fluid-solid coupling wall temperature according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and return to the step of performing N-step sub-iteration steps to solve according to the in-domain state of the fluid domain according to the current fluid-solid coupling wall temperature to obtain the current fluid domain temperature field distribution; if so, use the current fluid domain temperature field distribution as the fluid domain temperature field distribution, use the current solid domain temperature field distribution as the solid domain temperature field distribution, and determine the fluid-solid coupling wall temperature according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

[0127] In one embodiment of the present application, the calculation module 3 can be specifically used to calculate the temperature field distribution of the fluid domain and the temperature field distribution of the solid domain according to the heat flux conservation formula of the fluid-solid coupling wall to obtain the fluid-solid coupling wall temperature; wherein the heat flux conservation formula is:

[0128] ;

[0129] in, represents the fluid domain, represents the solid domain, and denote the heat transfer coefficients of the fluid domain and the solid domain, respectively. and Respectively represent the distance between the first layer of mesh nodes near the wall of the fluid domain and the solid domain and the fluid-solid coupling wall, and represent the temperature of the first layer of mesh nodes near the wall of the fluid domain and the solid domain respectively, The value of is determined according to the temperature field distribution in the fluid domain. The value of is determined according to the temperature field distribution in the solid domain. represents the fluid-structure interaction wall temperature.

[0130] In one embodiment of the present application, the above-mentioned determination module 2 can be specifically used to determine the model complexity based on the model information of the fluid domain mesh model and the model information of the solid domain mesh model; the model information includes the model type and / or the number of model meshes; when the model complexity does not exceed the preset threshold, the iteration strategy is determined to be a one-step generation solution strategy; when the model complexity exceeds the preset threshold, the iteration strategy is determined to be an N-step generation solution strategy.

[0131] In one embodiment of the present application, the temperature prediction device in the fluid-solid conjugate heat transfer process may also include an initialization module, which is used to perform computational domain initialization processing on the fluid domain and the solid domain respectively before determining the iteration strategy based on the model information of the fluid domain grid model and the model information of the solid domain grid model; wherein the computational domain initialization processing includes: setting the wall type and / or initial temperature of the fluid domain and the solid domain.

[0132] In one embodiment of the present application, the above-mentioned division module 1 can be specifically used to grid the fluid domain initial model and the solid domain initial model according to the in-domain states of the fluid domain and the solid domain and the performance of the computing device, so as to obtain the fluid domain grid model and the solid domain grid model; wherein the grid division includes one or more combinations of overall grid division, local grid encryption, local grid refinement, and boundary layer grid increase.

[0133] For an introduction to the device provided in the embodiments of the present application, please refer to the above method embodiments, and the present application will not elaborate on them here.

[0134] An embodiment of the present application provides an electronic device.

[0135] Please refer to Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in this application, and the electronic device may include:

[0136] A memory 11, used for storing computer programs;

[0137] The processor 10, when used to execute the computer program, can implement the steps of any of the above-mentioned temperature prediction methods in the fluid-solid conjugate heat transfer process.

[0138] like Figure 4 , which is a schematic diagram of the composition structure of an electronic device, the electronic device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11 and the communication interface 12 all communicate with each other through the communication bus 13.

[0139] In the embodiment of the present application, the processor 10 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices, etc.

[0140] The processor 10 may call a program stored in the memory 11. Specifically, the processor 10 may execute operations in an embodiment of a temperature prediction method in a fluid-solid conjugate heat transfer process.

[0141] The memory 11 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present application, the memory 11 at least stores programs for implementing the following functions:

[0142] Meshing the fluid domain initial model and the solid domain initial model respectively to obtain a fluid domain mesh model and a solid domain mesh model;

[0143] Determine an iteration strategy according to model information of the fluid domain mesh model and model information of the solid domain mesh model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy;

[0144] According to the iterative strategy, conjugate heat transfer iterative calculations are performed on the fluid domain and the solid domain to obtain the temperature field distribution in the fluid domain, the temperature field distribution in the solid domain and the fluid-solid coupling wall temperature.

[0145] In a possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0146] In addition, the memory 11 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0147] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0148] Of course, it should be noted that Figure 4 The structure shown does not constitute a limitation on the electronic device in the embodiment of the present application. In actual applications, the electronic device may include Figure 4 More or fewer components than shown, or combinations of certain components.

[0149] An embodiment of the present application provides a computer-readable storage medium.

[0150] The computer-readable storage medium provided in the embodiment of the present application stores a computer program, and when the computer program is executed by a processor, the steps of any of the above-mentioned temperature prediction methods in the fluid-solid conjugate heat transfer process can be implemented.

[0151] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0152] For an introduction to the computer-readable storage medium provided in the embodiments of the present application, please refer to the above method embodiments, and the present application will not elaborate on them here.

[0153] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0154] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0155] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0156] The technical solution provided by the present application is described in detail above. The principle and implementation method of the present application are described in detail using specific examples herein, and the description of the above embodiments is only used to help understand the method and core idea of ​​the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the present application.

Claims

1. A temperature prediction method in a fluid-solid conjugate heat transfer process, characterized in that: include: Meshing the fluid domain initial model and the solid domain initial model respectively to obtain a fluid domain mesh model and a solid domain mesh model; Determining an iteration strategy according to the model information of the fluid domain grid model and the model information of the solid domain grid model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy; According to the iterative strategy, conjugate heat transfer iterative calculation is performed on the fluid domain and the solid domain to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature; The method comprises: meshing the initial model of the fluid domain and the initial model of the solid domain respectively to obtain the mesh model of the fluid domain and the mesh model of the solid domain, including: meshing the initial model of the fluid domain and the initial model of the solid domain respectively according to the in-domain states of the fluid domain and the solid domain and the performance of computing equipment to obtain the mesh model of the fluid domain and the mesh model of the solid domain; wherein the meshing comprises a combination of one or more of overall meshing, local mesh encryption, local mesh refinement, and boundary layer mesh addition; Determining an iteration strategy according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model, including: determining the model complexity according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model; the model information includes a combination of one or more of the model type, the number of model meshes, and the model mesh size; when the model complexity does not exceed a preset threshold, determining that the iteration strategy is the one-step generation solution strategy; when the model complexity exceeds the preset threshold, determining that the iteration strategy is the N-step generation solution strategy; When the iteration strategy is the one-step generation solution strategy, conjugate heat transfer iterative calculations are performed on the fluid domain and the solid domain according to the iteration strategy to obtain the fluid domain temperature field distribution, the solid domain temperature field distribution and the fluid-solid coupling wall temperature, including: performing a one-step sub-iteration step solution according to the domain state of the fluid domain to obtain the current fluid domain temperature field distribution; performing a solution according to the current boundary conditions of the solid domain to obtain the current solid domain temperature field distribution; judging whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet the corresponding ; if not, the current fluid-solid coupling wall temperature is calculated according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and according to the current fluid-solid coupling wall temperature, the step of performing a sub-iterative step solution according to the domain state of the fluid domain to obtain the current fluid domain temperature field distribution is returned; if yes, the current fluid domain temperature field distribution is used as the fluid domain temperature field distribution, the current solid domain temperature field distribution is used as the solid domain temperature field distribution, and the fluid-solid coupling wall temperature is determined according to the fluid domain temperature field distribution and the solid domain temperature field distribution; When the iteration strategy is the N-step generation solution strategy, conjugate heat transfer iterative calculations are performed on the fluid domain and the solid domain according to the iteration strategy to obtain the fluid domain temperature field distribution, the solid domain temperature field distribution and the fluid-solid coupling wall temperature, including: performing N-step sub-iteration steps to solve according to the domain state of the fluid domain to obtain the current fluid domain temperature field distribution; solving according to the current boundary conditions of the solid domain to obtain the current solid domain temperature field distribution; judging whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current number of iteration steps all meet the corresponding ; if not, the current fluid-solid coupling wall temperature is calculated according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and according to the current fluid-solid coupling wall temperature, the step of performing N sub-iteration steps according to the domain state of the fluid domain to obtain the current fluid domain temperature field distribution is returned; if yes, the current fluid domain temperature field distribution is used as the fluid domain temperature field distribution, the current solid domain temperature field distribution is used as the solid domain temperature field distribution, and the fluid-solid coupling wall temperature is determined according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

2. The temperature prediction method in the fluid-solid conjugate heat transfer process according to claim 1, characterized in that: The fluid-solid coupling wall temperature is calculated according to the temperature field distribution of the fluid domain and the temperature field distribution of the solid domain, including: The temperature field distribution of the fluid domain and the temperature field distribution of the solid domain are calculated according to the heat flux conservation formula of the fluid-solid coupling wall to obtain the fluid-solid coupling wall temperature; wherein the heat flux conservation formula is: ; in, represents the fluid domain, represents the solid domain, and denote the thermal conductivity coefficients of the fluid domain and the solid domain, respectively, and represent the distances between the first layer of mesh nodes near the wall of the fluid domain and the solid domain and the fluid-solid coupling wall, and represent the temperatures of the first layer of mesh nodes near the wall of the fluid domain and the solid domain respectively, The value of is determined according to the temperature field distribution of the fluid domain. The value of is determined according to the temperature field distribution of the solid domain. represents the fluid-solid interaction wall temperature.

3. The temperature prediction method in the fluid-solid conjugate heat transfer process according to claim 1, characterized in that: Before determining the iteration strategy according to the model information of the fluid domain mesh model and the model information of the solid domain mesh model, the method further includes: Perform computational domain initialization processing on the fluid domain and solid domain respectively; The computational domain initialization process includes: setting the wall type and / or initial temperature of the fluid domain and the solid domain.

4. A temperature prediction device in a fluid-solid conjugate heat transfer process, characterized in that: include: A partitioning module is used to partition the fluid domain initial model and the solid domain initial model into grids to obtain a fluid domain grid model and a solid domain grid model; A determination module, used to determine an iteration strategy according to the model information of the fluid domain grid model and the model information of the solid domain grid model; the iteration strategy includes a one-step generation solution strategy and an N-step generation solution strategy; A calculation module, used for performing conjugate heat transfer iterative calculation on the fluid domain and the solid domain according to the iterative strategy to obtain the temperature field distribution of the fluid domain, the temperature field distribution of the solid domain and the fluid-solid coupling wall temperature; The partitioning module is specifically used to perform mesh partitioning on the initial model of the fluid domain and the initial model of the solid domain according to the domain states of the fluid domain and the solid domain and the performance of the computing device, respectively, to obtain the mesh model of the fluid domain and the mesh model of the solid domain; wherein the mesh partitioning includes a combination of one or more of overall mesh partitioning, local mesh encryption, local mesh refinement, and boundary layer mesh addition; The determination module is specifically used to determine the model complexity according to the model information of the fluid domain grid model and the model information of the solid domain grid model; the model information includes a combination of one or more of the model type, the number of model grids, and the model grid size; when the model complexity does not exceed the preset threshold, the iteration strategy is determined to be the one-step generation solution strategy; when the model complexity exceeds the preset threshold, the iteration strategy is determined to be the N-step generation solution strategy; When the iteration strategy is the one-step generation solution strategy, the calculation module is specifically used to perform a one-step sub-iteration solution according to the in-domain state of the fluid domain to obtain the current fluid domain temperature field distribution; perform a solution according to the current boundary conditions of the solid domain to obtain the current solid domain temperature field distribution; determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet the corresponding preset conditions; if not, calculate the current fluid-solid coupling wall temperature according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and return to the step of performing a one-step sub-iteration solution according to the in-domain state of the fluid domain to obtain the current fluid domain temperature field distribution according to the current fluid-solid coupling wall temperature; if so, use the current fluid domain temperature field distribution as the fluid domain temperature field distribution, use the current solid domain temperature field distribution as the solid domain temperature field distribution, and determine the fluid-solid coupling wall temperature according to the fluid domain temperature field distribution and the solid domain temperature field distribution; When the iteration strategy is the N-step generation solution strategy, the calculation module is specifically used to perform N-step sub-iteration steps to solve according to the in-domain state of the fluid domain to obtain the current fluid domain temperature field distribution; solve according to the current boundary conditions of the solid domain to obtain the current solid domain temperature field distribution; determine whether the temperature residual corresponding to the current fluid domain temperature field distribution, the temperature residual corresponding to the current solid domain temperature field distribution, and the current iteration step number all meet the corresponding preset conditions; if not, calculate the current fluid-solid coupling wall temperature according to the current fluid domain temperature field distribution and the current solid domain temperature field distribution, and return to the step of performing N-step sub-iteration steps to solve according to the in-domain state of the fluid domain to obtain the current fluid domain temperature field distribution according to the current fluid-solid coupling wall temperature; if so, use the current fluid domain temperature field distribution as the fluid domain temperature field distribution, use the current solid domain temperature field distribution as the solid domain temperature field distribution, and determine the fluid-solid coupling wall temperature according to the fluid domain temperature field distribution and the solid domain temperature field distribution.

5. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the steps of the temperature prediction method in a fluid-solid conjugate heat transfer process as claimed in any one of claims 1 to 3 when executing the computer program.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the temperature prediction method in a fluid-solid conjugate heat transfer process according to any one of claims 1 to 3 are implemented.

Citation Information

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