Thermal simulation method for temperature field of composite part forming tool
By constructing a thermal simulation model of the molding tooling for composite structural parts, the problems of temperature control delay and uneven heat distribution during the molding process of composite parts were solved, realizing rapid and accurate temperature field simulation, improving molding accuracy and reducing production costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-09
- Publication Date
- 2026-03-27
AI Technical Summary
Existing technologies cannot accurately construct simulation models of tooling temperature fields during the molding process of composite structural parts, resulting in temperature control delays and uneven heat distribution, which affect molding quality and service life. Furthermore, the simulation efficiency is low, making it difficult to reduce production costs and shorten the development cycle.
A thermal simulation method based on numerical simulation of temperature field of composite part forming tooling is adopted. By constructing a thermal simulation model that conforms to the actual situation, the temperature field changes during the forming process of composite parts are simulated, the temperature distribution characteristics of the contact surface between the tooling and the composite parts are analyzed, and the tooling structure and production process are optimized.
It enables rapid and accurate response to temperature differences during the molding process of composite parts, improves the internal temperature gradient, enhances molding accuracy and quality, reduces production costs, and shortens the development cycle.
Smart Images
Figure CN121744971A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of composite structure manufacturing, and particularly relates to a thermal simulation method for a temperature field of a composite part forming tool. BACKGROUND
[0002] During the curing process of a composite structure, the temperature distribution of the forming tool has a significant influence on the forming quality of the composite part, and the temperature change of the tool surface during forming meets the process specification requirement, which is a prerequisite for ensuring the forming quality of the composite part. However, in the actual forming process, due to the large size of the composite part and the large number of fiber layers, the temperature field influencing factors are complex, which can easily cause temperature control delay, uneven heat distribution and other problems. Uneven temperature distribution on the tool surface can cause temperature gradient in the composite, resulting in asynchronous curing, residual stress and strain in the structure, and finally causing internal defects and external deformation of the composite part, affecting the quality and service life of the composite part, and even causing the composite part to be scrapped.
[0003] In engineering, thermal distribution testing is required for the curing forming of the composite to determine the temperature field and ensure the process quality of curing. Considering that the composite part is high in price, long in manufacturing time and complex in process, the thermal distribution testing requires a large amount of time and cost, and it is difficult to summarize experience, so it is urgent to carry out numerical calculation research in this regard to reduce production cost and shorten the development cycle. The existing thermal simulation method for the tool temperature field in the forming process of the composite part has the problems of being unable to accurately construct a simulation model and low simulation efficiency, and cannot quickly and effectively reflect the change of the temperature field in the actual forming process. SUMMARY
[0004] The application aims to solve the problems in the prior art and actual needs, and provides a thermal simulation method for a temperature field of a composite part forming tool, establishes a calculation method for the tool temperature field in the forming process of the composite part based on numerical simulation, and realizes effective simulation of the surrounding temperature field and the tool thermal distribution in the forming process of the skin type composite part and the blade type composite part, and quickly and accurately reflects the temperature difference at different positions in the forming process of the composite part and the temperature control delay effect.
[0005] By simulating the change of the temperature field in the forming process of the composite part, the temperature distribution characteristics of the contact surface between the tool and the composite part are analyzed, guidance is provided for the structure optimization design of the composite part forming tool and the improvement of the production process, the thermal uniformity of the tool surface in contact with the composite part is improved, the internal temperature gradient of the composite part is improved, the curing deformation is reduced, and the forming precision is improved.
[0006] The technical solution for realizing the application is as follows: a thermal simulation method for a temperature field of a composite part forming tool is provided, which comprises the following steps:
[0007] Step 1: according to the composite forming tool type, the environment is constructed, and the environment part includes the construction of the fluid model and the domain type; Step 2: according to the physical properties of the composite fluid, the material parameters are defined; Step 3: according to the heating system of the heat source and the heat exchange mode of the heat source and the tool during the forming process of the composite forming tool, the forming process model is constructed; Step 4: based on the fluid region control equation and the solid region control equation of the three basic integral equations of mass, momentum and energy, the temperature field of the composite forming tool is simulated by the velocity vector model; Step 5: data processing is performed on the solution result, and the cloud picture is viewed in the graphic window.
[0008] In one possible embodiment, the composite forming tool type includes a hot press tank forming tool and a self-warming forming tool.
[0009] In one possible embodiment, in the step 1, it specifically includes a turbulence model, a domain boundary condition, and an initial physical condition.
[0010] In one possible embodiment, in the step 2, the material physical properties include density , thermal conductivity , and specific heat capacity .
[0011] In one possible embodiment, in the step 3, by analyzing the heating system and the heat exchange mode, the geometric model of the forming tool is simplified under the premise of meeting the actual working condition and not affecting the simulation effect; for the hot press tank forming tool, the hot press tank model is simplified into a cylindrical model with one end as the inlet and the other end as the outlet due to the simulation of the inner cavity; since some auxiliary devices on the tool have little effect on the temperature field, only the mold body and the support structure are retained.
[0012] In one possible embodiment, in the step 3, for the self-warming forming tool, since some auxiliary devices on the tool have little effect on the temperature field, only the main part of the mold body is combined and retained, and since part of the pipeline is not used for hot oil circulation, this part of the pipeline is deleted.
[0013] In one possible embodiment, in the step 4, the fluid region heat exchange control equation is obtained according to the continuum hypothesis, and the differential form of the three basic equations is: (1) based on the mass conservation equation:
[0014] (2) based on the momentum conservation (Newton's law of motion) equation:
[0015]
[0016]
[0017] (3) Based on the energy conservation (the first law of thermodynamics) equation, we have:
[0018]
[0019] where the relationship between fluid density, pressure and temperature is obtained from the ideal gas state equation as:
[0020] where: , , is the generalized source term of the momentum equation; is related to the fluid pressure and fluid temperature, ; is the fluid density; is the fluid temperature; is the fluid velocity; is the dynamic viscosity of the fluid; is the internal heat source of the fluid; is the fluid pressure; is the thermal conductivity of the fluid; is the dissipation function.
[0021] In one possible embodiment, in the step 4, the solid region heat conduction control equation, the heat transfer between the mold and the composite part and the support structure is thermal conduction, and the energy equation is:
[0022] where: is the density; is the specific heat capacity; is the temperature; is the heat source term.
[0023] Microscopically, since the model is based on the collision between particles for heat transfer, the particle velocity vector model used is defined as follows: The two-dimensional state involves 9 velocity vectors including the origin,
[0024] The three-dimensional state involves 19 velocity vectors including the origin, .
[0025] Compared with the prior art, the present application has the following advantages: The mesoscopic simulation scale-based computational fluid dynamics method has the macroscopic classical mechanical behavior and the microscopic quantum effect, and has the mesoscopic model characteristics between the microscopic molecular dynamics model and the macroscopic continuous model.
[0026] A thermal simulation method of a temperature field of a hot press forming tool is provided, which simulates the thermal uniformity of the forming tool in a composite part forming process mode of external heating of a hot press tank by constructing a forming tool thermal simulation model, and is mainly used for the design and manufacture of a skin type composite part and its forming tool.
[0027] A thermal simulation method of a temperature field of a self-heating forming tool is provided, which simulates the thermal uniformity of the forming tool in a composite part forming process mode of internal heating of a pipeline by constructing a forming tool thermal simulation model, and is mainly used for the design and manufacture of a blade type composite part and its forming tool.
[0028] By constructing a typical thermal model, parameters can be directly changed, which is used for temperature field simulation of similar forming tool structures, maintains the stability and accuracy of the simulation process, and improves the simulation efficiency. BRIEF DESCRIPTION OF DRAWINGS
[0029] Figure 1 Temperature field numerical simulation and analysis flowchart.
[0030] Figure 2 Environment construction diagram.
[0031] Figure 3 Material definition diagram.
[0032] Figure 4 Model construction diagram.
[0033] Figure 5 Simplified hot press tank and forming tool geometric model.
[0034] Figure 6 Simulation solution diagram.
[0035] Figure 7 Data post-processing diagram.
[0036] Figure 8 Monitoring point distribution.
[0037] Figure 9 Forming tool temperature distribution.
[0038] Figure 10 Simplified self-heating forming tool upper die geometric model.
[0039] Figure 11 Simplify the lower die geometry model of the self-warming forming tool.
[0040] Figure 12 Distribution of monitoring points of the upper die.
[0041] Figure 13 Distribution of monitoring points of the lower die.
[0042] Figure 14 Temperature-time curve of the monitoring points.
[0043] Figure 15 Temperature distribution of the forming tool. DETAILED DESCRIPTION
[0044] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.
[0045] It should be noted that if the embodiments of the present application involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement condition, etc. between the components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly.
[0046] In addition, if the embodiments of the present application involve descriptions of "first", "second", etc., the descriptions of "first", "second", etc. are only for description purposes, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features with "first" and "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the realization of a person skilled in the art, and when the combination of technical solutions contradicts each other or cannot be realized, it should be considered that the combination of technical solutions does not exist and is not within the protection scope required by the present application.
[0047] The flowchart of the temperature field numerical simulation and analysis is shown in Figure 1 .
[0048] In the process of thermal simulation of the temperature field of the composite part forming tool, the following principles are executed according to the simulation steps.
[0049] Firstly, before thermal fluid simulation, a suitable simulation scheme should be formulated according to the type of fluid and heat transfer, the characteristics of tool structure and product forming, the characteristics of boundary conditions, the purpose of simulation, the simulation period, etc. The second step is that the definition of simulation parameters should generally be consistent with the actual engineering situation. If it is only to verify the transfer trend of fluid and heat, improve simulation efficiency, and reduce data storage, some parameters can be adjusted. The third step, under the premise of ensuring the accuracy of thermal simulation analysis of the parts of interest, is to simplify the details of the tooling geometric model by deleting unnecessary parts, merging effective parts, and checking the quality of the geometric model, ensuring there are no gaps or slits, etc. If there are quality problems, they need to be repaired. Fourth, before the calculation and solution, the position of the geometric model, simulation parameters, state equations, boundary conditions, surface normal directions, etc. should be checked. When calculating and solving, appropriate analysis steps and resolution should be used according to the simulation duration and model size. The simulation efficiency should meet the actual needs of the project. The fifth step is to evaluate the simulation model and simulation results based on the analysis type and experimental results. When the evaluation results cannot meet the process requirements, the simulation model (such as the model simplification method, heat transfer type, etc.) should be modified to ensure that it truly reflects the actual situation of the simulated object. The sixth step is that the simulation model and simulation results should be able to be dynamically updated based on the input data, and the simulation results should be output according to the purpose and requirements of the thermal simulation.
[0050] Example 1 Autoclave forming tooling Step 1: Environment Construction. The environment section includes specific construction of the fluid model and domain type, such as turbulence model, domain boundary conditions, initial physical conditions, etc. Figure 2 As shown, the specific steps are as follows.
[0051] 1. Because we are concerned with the temperature distribution and changes inside the autoclave and on the surface of the tooling, the entire environment model of the domain type is three-dimensional; 2. Because it only involves one continuous fluid phase in the entire fluid domain, and every point in the fluid domain contains the same fluid substance, the flow model is a single-phase flow. 3. Since it only involves the fluid inside the autoclave during the autoclave forming process, the analysis type is internal; 4. Because the analysis focuses on the temperature changes of gas and tooling during autoclave forming, the thermal model is in the form of separated energy. If the temperature inside the autoclave is below 200℃, thermal radiation can be ignored; if the temperature inside the autoclave is above 200℃, thermal radiation must be considered. 5. Since the tooling heats up mainly through convection heat transfer, it is also necessary to calculate the flow state of the fluid region where the fluid exchanges heat with the mold during the simulation process.
[0052] When defining a turbulence model, the calculation of the Reynolds number Re is involved. The flow state of a fluid is generally divided into laminar flow and turbulent flow, which is judged by the magnitude of the Reynolds number Re.
[0053] Reynolds number expression:
[0054] is the fluid density; is the fluid flow velocity; is the characteristic length (such as the autoclave diameter); That is is the dynamic viscosity of the fluid. Usually, the corresponding relationship between the Reynolds number and the flow state is: Re ≤ 2300, laminar flow; 2300 < Re < 8000, the transition zone between laminar flow and turbulent flow; Re ≥ 8000, turbulent flow. According to the calculated Reynolds number, it can be known that the gas flow type in the tank is turbulent flow, and a local eddy current model that automatically adapts to the wall is constructed. The gas resistance coefficient Cw is 0.2.
[0055] 6. Since the influence of gravity on the temperature field is extremely small, the gravitational acceleration can be defined as 0 to reduce the calculation amount, and the initial temperature of the environment is defined according to the actual working conditions, and the initial pressure is set to the standard atmospheric pressure.
[0056] The second step is material definition. Material definition usually refers to the definition of the physical properties of fluid materials, such as density , thermal conductivity , specific heat capacity , as Figure 3 shown, the specific steps are as follows.
[0057] 1. During the autoclave forming process, the fluid in the tank is nitrogen, and the fluid parameters are defined according to the properties of nitrogen; 2. Use the Boussinesq equation to define the relationship between fluid density, thermal expansion coefficient and temperature.
[0058] The Boussinesq equation is:
[0059] is the fluid density; is the reference density of the fluid; is the thermal expansion coefficient; is the current temperature ; is the reference temperature .
[0060] The third step is model construction. The construction of a simulation model refers to the definition of the physical parameters of the imported geometric model, such as behavioral characteristics, boundary conditions, etc., as Figure 4As shown, the specific steps are as follows.
[0061] 1. By analyzing the heating regime and heat exchange method, and under the premise of conforming to actual working conditions and not affecting the simulation effect, the geometric models of the autoclave and forming tooling are simplified. Since the simulation focuses on the internal working cavity, the autoclave model is simplified into a cylindrical model with one end as the inlet and the other as the outlet. Because some auxiliary devices on the tooling have little impact on the temperature field, only the mold body and supporting structure are retained. The simplified geometric models of the mold frame tooling and the autoclave are as follows: Figure 5 As shown; 2. Import the simplified autoclave geometry model and tooling geometry model. Set the model behavior to fixed and adjust the relative position and surface normal direction of the geometry model. The autoclave model points inward and the tooling model points outward. 3. The autoclave forming process involves complex fluid-structure interaction problems. The tooling is defined with conjugate heat transfer properties, allowing heat conduction and convection heat transfer within the tooling to occur simultaneously. The tooling material properties are defined according to actual conditions, including density. Specific heat capacity ,temperature ; 4. The autoclave model is divided into three categories: inlet, outlet, and wall. The inlet boundary condition type is velocity, with an inlet air velocity set inwards. The thermal boundary condition is a function of gas temperature over time. (In the form of if(t<5400,295.15+0.021t,408.15), 5400 is the time, 295.15 is the initial temperature, 0.021 is the heating rate, and 408.15 is the maximum temperature).
[0062] The outlet boundary condition type is convection, meaning the static pressure and velocity at the outlet are inferred from the internal domain. The autoclave cylindrical wall type is wall, and the thermal boundary condition type is adiabatic. 5. After the model is built, check the definitions of material properties, boundary conditions, surface normal directions, and functional relationships.
[0063] The fourth step is simulation and solution. Simulation and solution refers to the general construction of the simulation calculation part, such as the definition of simulation time, resolution, fine calculation, and stored data, etc. Figure 6 As shown, the parameters from the above steps are substituted into the fluid domain control equation and the solid domain control equation for solution.
[0064] Since the thermal model for autoclave molding includes both fluid and solid regions, the solution formula used is as follows.
[0065] (1) On a macroscopic level, the gas portion between the autoclave and the tooling follows the fluid zone heat transfer control equation:
[0066]
[0067]
[0068]
[0069]
[0070] The relationship between fluid density and pressure and temperature, derived from the ideal gas law, is as follows:
[0071] In the formula: , , This is the generalized source term of the momentum equation; It is related to fluid pressure and fluid temperature. ; For fluid density; For fluid temperature; For fluid velocity; The dynamic viscosity of the fluid; It serves as the internal heat source for the fluid; For fluid pressure; The thermal conductivity of the fluid; Let be the dissipation function.
[0072] The tooling part follows the solid region thermal conductivity control equation:
[0073] In the formula: Density; Specific heat capacity; For temperature; This is a heat source term.
[0074] (2) At the microscopic level, heat transfer is achieved through collisions between particles, and the particle velocity vector model used is defined as follows: The two-dimensional state involves nine velocity vectors, including the origin.
[0075] The three-dimensional state involves 19 velocity vectors, including the origin. .
[0076] The simulation time, analysis step size, resolution, and number of frames saved per second of simulation time are defined according to the actual product molding cycle, and the data is stored starting from a certain simulation time. This can significantly improve computational efficiency without using refinement algorithms.
[0077] The fifth step is post-processing. Post-processing refers to data processing of the solution results to display different categories of results in a suitable and intuitive way. For example, one can view the contour plot in the graphics window and the time history curve in the function window. Figure 7 As shown.
[0078] To ensure more accurate results, the location of the analysis profile and the location of the monitoring points need to be defined. Figure 8 As shown, the temperature change curves at the monitoring points over time (heating and heat preservation stages) are obtained; the surface temperature uniformity of the tooling is reflected using the area integral standard deviation; surface contour maps and cross-sectional contour maps are displayed separately; flow velocity is analyzed using a combination of contour maps and vectors.
[0079] By processing the calculation results, a cloud map showing the temperature distribution of the molding tooling over time was obtained, such as... Figure 9 As shown.
[0080] Example 2 Self-heating molding tooling Step 1: Environment setup, the specific steps are as follows.
[0081] 1. Because the focus is on the temperature distribution and changes inside and on the surface of the tooling, the entire model is three-dimensional; 2. Because it only involves one continuous fluid phase in the entire fluid domain, and every point in the fluid domain is made of the same substance, the flow model is a single-phase flow; 3. Since it only involves the internal and surface conditions of the tooling during the self-heating molding process, the analysis type is internal; 4. Because the analysis focuses on the temperature change of the tooling, the thermal model is based on energy separation. The thermal radiation can be ignored if the temperature of the hot oil in the pipeline is below 200℃. If the temperature of the hot oil in the pipeline is above 200℃, thermal radiation needs to be considered. 5. Since the self-heating molding die is heated by hot oil in the heating pipe, the pipe wall can be understood as the heat source. The hot oil flow is not reflected in the model, which simplifies the analysis model. Therefore, the flow state of the fluid region that exchanges heat with the tooling during the simulation process does not need to be studied, and the turbulence model is not defined. 6. Because gravity has a negligible effect on the temperature field, to reduce computational complexity, gravitational acceleration can be defined as 0, and the initial ambient temperature can be set to 0. According to the definition of actual working conditions, the initial pressure Set to standard atmospheric pressure.
[0082] The second step is material definition. Since the pipe wall is considered a heat source and hot oil flow is not represented in the model, to simplify the analysis model and analyze the temperature changes inside and on the surface of the tooling, material parameters, including density, are defined according to the properties of steel. Thermal conductivity Specific heat capacity .
[0083] The third step is model building, and the specific steps are as follows.
[0084] 1. By analyzing the heating regime and heat exchange method, and under the premise of conforming to actual working conditions and not affecting the simulation effect, the geometric model of the self-heating forming fixture and pipeline is simplified. Since some auxiliary devices on the fixture have little impact on the temperature field, only the main parts of the model are merged and retained. Because some pipelines are not used for hot oil flow, these pipelines are deleted. The simplified geometric model of the self-heating forming fixture and pipeline is as follows: Figure 10-11 As shown; 2. Import the simplified self-heating forming tooling geometry model and pipe geometry model. Set the model behavior to fixed and adjust the relative position and surface normal direction of the geometry model. The tooling model points inward and the pipe model points outward. 3. The simulation model consisting of tooling and piping is a convective heat transfer structure. The pipe wall type is a wall, and the thermal boundary condition is a function of the pipe surface temperature changing with time. (In the form of if(t<5400,295.15+0.021t,408.15), where 5400 is time, 295.15 is the initial temperature, 0.021 is the heating rate, and 408.15 is the maximum temperature) and the function of the convective heat transfer coefficient over time. (In the form of if(t<5400,448+0.2033t,1546), 5400 is time, 448 is the initial convective heat transfer coefficient, 0.021 is the rate of rise, and 408.15 is the maximum heat transfer coefficient). 4. The surface type of the tooling is a wall, and the thermal boundary condition type is generally heat flux; 5. After the model is built, check the definitions of material properties, boundary conditions, surface normal directions, and functional relationships.
[0085] The fourth step is simulation and solution. The simulation time, analysis step size, resolution, and number of frames saved per second are defined according to the actual product molding cycle. The simulation is started from a specific time point, which significantly improves computational efficiency by eliminating the need for refinement algorithms. The parameters from the previous steps are then substituted into the governing equations for the solid region before solution.
[0086] Since the simplified self-heating forming thermal model only includes the solid region, the solution formula used is as follows.
[0087] (1) On a macroscopic level, the tooling part follows the solid region thermal conduction control equation:
[0088] In the formula: Density; Specific heat capacity; For temperature; This is a heat source term.
[0089] (2) At the microscopic level, heat transfer is achieved through collisions between particles, and the particle velocity vector model used is defined as follows: The two-dimensional state involves nine velocity vectors, including the origin.
[0090] The three-dimensional state involves 19 velocity vectors, including the origin.
[0091] The fifth step, post-processing, requires defining the location of the analysis profile and the location of the monitoring points to ensure more accurate results. Figure 12-13 As shown, the temperature change curve at the monitoring point location over time (heating and heat preservation stages) is obtained, as follows. Figure 14 As shown; the surface temperature uniformity of the tooling is reflected using the area integral standard deviation; surface contour plots and cross-sectional contour plots are displayed separately; flow velocity is analyzed using a combination of contour plots and vectors.
[0092] By processing the calculation results, a cloud map showing the temperature distribution of the molding tooling over time was obtained, such as... Figure 15 As shown.
[0093] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0094] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.
Claims
1. A method for thermal simulation of the temperature field of a composite part forming tooling, characterized in that, Includes the following steps: Step 1: Build the environment according to the composite molding tooling type. The environment part includes the construction of the fluid model and domain type. Step 2: Define material parameters based on the physical properties of the composite fluid; Step 3: Construct a molding process model based on the heating regime of the heat source and the heat exchange method between the heat source and the tooling in the molding process of composite molding tooling; Step 4: Based on the fluid region control equations and solid region control equations of the three basic calculus equations of mass, momentum and energy, the temperature field of the composite forming tooling is simulated and calculated using a velocity vector model. Step 5: Process the solution results and view the contour plot in the graphics window.
2. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, The composite molding tooling types include autoclave molding tooling and self-heating molding tooling.
3. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, Step 1 specifically includes the turbulence model, domain boundary conditions, and initial physical conditions.
4. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, In step 2, the physical properties of the material include density. Thermal conductivity Specific heat capacity .
5. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, In step 3, by analyzing the heating regime and heat exchange method, the geometric model of the forming tooling is simplified under the premise of conforming to the actual working conditions and not affecting the simulation effect. For the autoclave forming tooling, since the working inner cavity is simulated, the autoclave model is simplified into a cylindrical model with one end as the inlet and the other end as the outlet. Since some auxiliary devices on the tooling have little impact on the temperature field, only the mold body and the support structure are retained.
6. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, In step 3, for the self-heating molding fixture, since some auxiliary devices on the fixture have little impact on the temperature field, only the main part of the mold body is merged and retained. Since some pipes are not used for hot oil circulation, these pipes are deleted.
7. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, In step 4, the heat transfer control equations for the fluid region, based on the continuous medium assumption, have the following differential forms for the three fundamental equations: (1) Based on the mass conservation equation, we obtain: (2) Based on the equation of conservation of momentum (Newton's laws of motion), we obtain: (3) Based on the energy conservation equation (first law of thermodynamics), we obtain: The relationship between fluid density and pressure and temperature, derived from the ideal gas law, is as follows: In the formula: , , This is the generalized source term of the momentum equation; It is related to fluid pressure and fluid temperature. ; For fluid density; For fluid temperature; For fluid velocity; The dynamic viscosity of the fluid; It serves as the internal heat source for the fluid; For fluid pressure; The thermal conductivity of the fluid; Let be the dissipation function.
8. The thermal simulation method for the temperature field of a composite part forming tooling according to claim 1, characterized in that, In step 4, the heat transfer between the solid region and the composite material and supporting structure is determined by heat conduction, and its energy equation is as follows: In the formula: Density; Specific heat capacity; For temperature; For heat source items; At the microscopic level, since the model is based on heat transfer through collisions between particles, the particle velocity vector model used is defined as follows: The two-dimensional state involves nine velocity vectors, including the origin. The three-dimensional state involves 19 velocity vectors, including the origin. 。