CN115563778A - Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process - Google Patents

Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process Download PDF

Info

Publication number
CN115563778A
CN115563778A CN202211224872.7A CN202211224872A CN115563778A CN 115563778 A CN115563778 A CN 115563778A CN 202211224872 A CN202211224872 A CN 202211224872A CN 115563778 A CN115563778 A CN 115563778A
Authority
CN
China
Prior art keywords
cold
hot wall
dimensional
wall
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211224872.7A
Other languages
Chinese (zh)
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Lingkong Tianxing Technology Co Ltd
Original Assignee
Beijing Lingkong Tianxing Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Lingkong Tianxing Technology Co Ltd filed Critical Beijing Lingkong Tianxing Technology Co Ltd
Priority to CN202211224872.7A priority Critical patent/CN115563778A/en
Publication of CN115563778A publication Critical patent/CN115563778A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a method for calculating the dynamic distribution of a three-dimensional temperature field in a cold-hot wall conversion process, which comprises the following steps: constructing a cold-hot wall simulation model according to the characteristic parameters of the cold-hot wall, wherein the characteristic parameters at least comprise: physical size, geometry; giving the cold-hot wall simulation model solid heat transfer physical field and material properties; obtaining a three-dimensional computational grid model by using the simulation model; presetting initial conditions and cold wall boundary conditions of the three-dimensional computing grid model; constructing a conversion model of the three-dimensional computational grid model, wherein the input of the conversion model is an initial condition and a cold wall boundary condition; the output of the conversion model is a hot wall boundary condition; updating the three-dimensional calculation grid model according to the boundary condition of the hot wall to obtain the dynamic distribution of the three-dimensional hot wall temperature field; the invention inputs the condition of the cold wall into the simulation model, outputs the temperature field which is closer to the actual hot wall after conversion, has simple conversion mode and effectively increases the accuracy and the reliability of the simulation model.

Description

Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process
Technical Field
The application relates to the technical field of spacecraft cabin heat protection simulation, in particular to a three-dimensional temperature field dynamic distribution calculation method in a cold-hot wall conversion process.
Background
During the service process of the high-speed aircraft, because the surrounding air flow is extruded rapidly and generates friction, most kinetic energy in the gas molecules is converted into heat energy, the temperature of the air flow is increased rapidly, and therefore a large amount of heat flow is transmitted to the surface of the aircraft, and the surface of the aircraft is subjected to aerodynamic heating load caused by a complex energy transmission process. Accurate quantification of pneumatic heating is the basis for developing the thermal protection design of the aircraft, and is also the key for further improving the structural efficiency and optimizing the flight performance.
The existing thermal response analysis of the aircraft thermal design is mostly limited by a temperature field calculation method under the condition of one-dimensional cold-hot wall conversion or approximate three-dimensional temperature field calculation, and the real-time change of environmental heat flow caused by the change of the aircraft surface temperature cannot be accurately considered, so that the aircraft structural temperature field cannot be accurately described, and the thermal design margin of the aircraft is too large.
Disclosure of Invention
In view of the above-mentioned drawbacks and deficiencies of the prior art, the present application is directed to a method for calculating a dynamic distribution of a three-dimensional temperature field during a hot-cold wall transition, comprising:
s101, constructing a cold and hot wall simulation model according to the characteristic parameters of the cold and hot wall, wherein the characteristic parameters at least comprise: physical size, geometry;
s102, endowing the cold and hot wall simulation model with a solid heat transfer physical field and material properties;
s103, obtaining a three-dimensional calculation grid model by using the simulation model;
s104, presetting initial conditions and cold wall boundary conditions of the three-dimensional computational grid model;
s105, constructing a conversion model of the three-dimensional computation grid model, wherein the input of the conversion model is an initial condition and a cold wall boundary condition; the output of the conversion model is a hot wall boundary condition;
and S106, updating the three-dimensional calculation grid model according to the hot wall boundary condition to obtain the dynamic distribution of the three-dimensional hot wall temperature field.
According to the technical scheme provided by the embodiment of the application, the simulation software adopts COMSOL simulation software.
According to the technical scheme provided by the embodiment of the application, the step of obtaining the three-dimensional computation mesh model by using the simulation model comprises the step of meshing the simulation model to obtain the three-dimensional computation network model.
According to the technical scheme provided by the embodiment of the application, an external interface program is developed, and the external interface program is used for constructing the conversion model for the heat conversion of the cold wall and the hot wall.
According to the technical scheme provided by the embodiment of the application, the development method of the external interface program comprises one or more of Python, MATLAB and C + +.
According to the technical scheme provided by the embodiment of the application, the step S106 further comprises the following steps:
s201, obtaining the hot wall boundary condition distribution at the intermediate moment by an external interface program through a data fitting method according to the known hot wall boundary conditions of the adjacent time nodes, wherein the hot wall boundary condition distribution is used for representing the dynamic distribution of the hot wall boundary conditions among the adjacent time nodes;
s202, selecting transient distribution data of the hot wall boundary conditions required by calculation from the hot wall boundary condition distribution, and importing the transient distribution data into the three-dimensional calculation grid model to obtain the dynamic distribution of the three-dimensional hot wall temperature field.
According to the technical scheme provided by the embodiment of the application, the data fitting method comprises one or more of a linear interpolation method, a polynomial interpolation method or a curve fitting method.
According to the technical scheme provided by the embodiment of the application, the conversion model is as follows:
Figure BDA0003879395170000021
Figure BDA0003879395170000022
Figure BDA0003879395170000023
wherein q is w Represents the net heat flux density introduced into the wall by convection in kw/m 2 ;q 300 Representing gas delivered when the wall temperature is 300kHeat flow density of the wall surface in kw/m 2 ;h re Represents the enthalpy value, h w Represents wall enthalpy value with the unit of kJ/kg, h 300 Represents the enthalpy value of the wall surface when the temperature of the wall surface is 300 k; t is a unit of w Represents the wall temperature and P represents the surface pressure.
In summary, the application provides a method for calculating the dynamic distribution of a three-dimensional temperature field in a cold-hot wall conversion process, which comprises the steps of constructing a cold-hot wall simulation model according to characteristic parameters of a cold-hot wall, endowing a solid heat transfer physical field and material properties to the simulation model, obtaining a three-dimensional calculation network model according to the simulation model, and presetting initial conditions and cold wall boundary conditions of the three-dimensional calculation network model; and constructing a conversion model, inputting the initial condition and the cold wall boundary condition into the conversion model to obtain a hot wall boundary condition, and inputting the hot wall boundary condition into a three-dimensional calculation network model to obtain three-dimensional hot wall temperature dynamic distribution. According to the invention, the condition of the cold wall is input into the simulation model, the converted temperature field which is closer to the actual hot wall is output, the conversion mode is simple, the accurate prediction of the simulation calculation model on the three-dimensional temperature field is improved, the accuracy and the reliability of the simulation model are effectively increased, and scientific guidance is provided for the heat protection and material reduction of the aerospace craft.
Drawings
Fig. 1 is a flowchart of a method for calculating a dynamic distribution of a three-dimensional temperature field in a hot-cold wall conversion process according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a simulation model provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a three-dimensional thermal wall temperature field dynamic distribution provided by an embodiment of the present application;
fig. 4 is a schematic diagram of a terminal device or a computer system according to an embodiment of the present disclosure.
The text labels in the figures are represented as:
1. a computer system; 101. a CPU; 102. a ROM; 103. a RAM; 104. a bus; 105. an I/O interface; 106. an input section; 107. an output section; 108. a storage section; 109. a communication section; 110. a driver; 111. a removable media.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Example 1
As mentioned in the background art, the present application provides a method for calculating the dynamic distribution of a three-dimensional temperature field in a hot and cold wall conversion process, as shown in fig. 1, including the following steps:
s101, constructing a cold and hot wall simulation model according to the characteristic parameters of the cold and hot wall, wherein the characteristic parameters at least comprise: physical size, geometry; optionally, the simulation software adopts COMSOL simulation software, and under some specific scenarios, a cold-hot wall simulation model of a rocket (flight environment (Ma ≦ 9)) cabin segment is established on the COMSOL simulation software, as shown in fig. 2;
s102, giving a solid heat transfer physical field and material properties to the cold and hot wall simulation model; wherein, the solid heat transfer physical field refers to a control equation for controlling the heat transfer problem on the cold and hot walls; the material properties refer to parameters such as heat transfer coefficient of the cold and hot wall material; adding the solid heat transfer physical field and the material property to the simulation software;
s103, obtaining a three-dimensional computing network model by using the simulation model; optionally, the simulation model is divided by a grid to obtain the three-dimensional computing network model; the finite element simulation is to change a continuous infinite freedom problem into a discrete finite freedom problem, and the meshing is an important step of the finite element simulation;
s104, presetting initial conditions and cold wall boundary conditions of the three-dimensional computing network model; the initial condition is an initial value of the three-dimensional computing network model, and the boundary condition is an external wall environment value where the three-dimensional computing network model is located and comprises an external heat flow size; thus, the inputs to the simulation model include: the actual physical size and the geometric shape of the cold and hot wall, the initial conditions and the boundary conditions of the three-dimensional calculation network model and the control equation adopted by the simulation model calculation, namely the solid heat transfer physical field;
s105, constructing a conversion model of the three-dimensional computing network model, wherein the input of the conversion model is the initial condition and the cold wall boundary condition, and the output of the conversion model is the hot wall boundary condition; the conversion model is obtained by developing an external interface program, wherein the interface program is used for constructing the conversion model for the heat conversion of the cold wall and the hot wall; optionally, the external interface program development method includes one or more of Python, MATLAB, and C + +;
wherein, the conversion model is shown as the following formula:
Figure BDA0003879395170000041
Figure BDA0003879395170000042
Figure BDA0003879395170000043
wherein q is w Representing the net heat flux density introduced into the wall by convection, in kw/m 2 ;q 300 Represents the heat flow density of the gas transferred to the wall surface when the wall surface temperature is 300k, and the unit is kw/m 2 ;h re Represents the enthalpy value, h w Represents wall enthalpy value with the unit of kJ/kg, h 300 Represents the wall enthalpy value when the wall temperature is 300 k; t is a unit of w Represents the wall temperature, and P represents the surface pressure;
s106, updating the three-dimensional calculation network model according to the hot wall boundary condition to obtain the dynamic distribution of the three-dimensional hot wall temperature field; specifically, the initial condition and the cold wall boundary condition are input into the conversion model to obtain a hot wall boundary condition; as can be seen from the above formula, after the cold wall boundary conditions are input into the conversion model, hot wall boundary conditions including hot wall net heat flow density, heat flow density when the wall temperature is 300k, wall enthalpy value, etc. are obtained; this step further comprises the steps of:
s201, obtaining the hot wall boundary condition distribution at the intermediate moment by an external interface program through a data fitting method according to the known hot wall boundary conditions of the adjacent time nodes, wherein the hot wall boundary condition distribution is used for representing the dynamic distribution of the hot wall boundary conditions among the adjacent time nodes;
s202, selecting transient distribution data of the hot wall boundary condition required by calculation from the hot wall boundary condition distribution, and importing the transient distribution data into the three-dimensional calculation grid model to obtain the dynamic distribution of the three-dimensional hot wall temperature field;
the thermal wall boundary condition in step S106 is transient distribution data in step S202, and the computation network model of COMSOL is coupled to the external interface program, that is, transient distribution data of the three-dimensional thermal wall temperature field required for computation in the three-dimensional thermal wall temperature field is coupled to the three-dimensional computation network model; the simulation model comprises a plurality of interpolation functions, and the time interpolation functions are used for linearly interpolating time of three-dimensional variables at different times; and introducing the hot wall boundary condition obtained by the conversion model into COMSOL through a variable form, performing interactive exchange with the built-in three-dimensional heat flow interpolation function to realize time interpolation of the three-dimensional heat flow to obtain a calculation variable of the hot wall heat flow, and performing heat loading on the surface of the model through the heat flow form to obtain the dynamic distribution of the three-dimensional hot wall temperature field, wherein the dynamic distribution is shown in figure 3. This patent is based on COMSOL computational model, external interface program has been developed, COMSOL has overcome among the traditional simulation computation process the restriction to three-dimensional temperature field data dimension, can real-time coupling three-dimensional space dimension and the temperature field distribution data on the time dimension, realize the dynamic distribution of three-dimensional temperature field among the cold and hot wall conversion process and calculate, thereby promote the accurate prediction of simulation computation model to three-dimensional temperature field, its computational accuracy can promote about 10%, the accuracy and the reliability of simulation model have effectively been increased, help perfecting spacecraft heat protection material design and reduce heat protection material use cost.
Example 2
Referring now to fig. 4, there is shown a schematic block diagram of a computer system 1 suitable for implementing a terminal device or server according to an embodiment of the present application.
As shown in fig. 3, the computer system 1 includes a Central Processing Unit (CPU) 101 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 102 or a program loaded from a storage section 108 into a Random Access Memory (RAM) 103. In the RAM103, various programs and data necessary for the operation of the computer system 1 are also stored. The CPU 101, ROM 102, and RAM103 are connected to each other via a bus 104. An input/output (I/O) interface 105 is also connected to bus 104.
The following components are connected to the I/O interface 105: an input portion 106 including a keyboard, a mouse, and the like; an output section 107 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 108 including a hard disk and the like; and a communication section 109 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 110 is also connected to the I/O interface 105 as needed. A removable medium 111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 110 as necessary, so that a computer program read out therefrom is mounted into the storage section 108 as necessary.
In particular, the process described above with reference to fig. 1 may be implemented as a computer software program, according to an embodiment of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method of fig. 1. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 109 and/or installed from the removable medium 111.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Example 3
The present application also provides a storage medium, which may be a computer-readable storage medium contained in the apparatus in the above-described embodiments; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs, which are used by one or more processors to execute the steps of the method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall transformation process described in embodiment 1.
The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. The foregoing are only preferred embodiments of the present application and it should be noted that there are no more than a few objective specific configurations due to the limited nature of the words that may be employed, and that modifications, decorations, or changes may be made by those skilled in the art without departing from the principles of the present invention or the technical features described above may be combined in any suitable manner; such modifications, variations, combinations, or adaptations of the invention in other instances, which may or may not be practiced, are intended to be within the scope of the present application.

Claims (10)

1. A three-dimensional temperature field dynamic distribution calculation method in a cold-hot wall conversion process is characterized by comprising the following steps:
s101, constructing a cold and hot wall simulation model according to the characteristic parameters of the cold and hot wall, wherein the characteristic parameters at least comprise: physical size, geometry;
s102, giving a solid heat transfer physical field and material properties to the cold and hot wall simulation model;
s103, obtaining a three-dimensional computational grid model by using the simulation model;
s104, presetting initial conditions and cold wall boundary conditions of the three-dimensional computing grid model;
s105, constructing a conversion model of the three-dimensional computation grid model, wherein the input of the conversion model is an initial condition and a cold wall boundary condition, and the output of the conversion model is a hot wall boundary condition;
and S106, updating the three-dimensional calculation grid model according to the hot wall boundary condition to obtain the dynamic distribution of the three-dimensional hot wall temperature field.
2. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 1, wherein the method comprises the following steps: the simulation software adopts COMSOL simulation software.
3. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 1, wherein the method comprises the following steps: the step of obtaining the three-dimensional computational grid model by using the simulation model comprises the step of meshing the simulation model to obtain the three-dimensional computational network model.
4. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 1, wherein the method comprises the following steps: and developing an external interface program, wherein the external interface program is used for constructing the conversion model of the heat conversion of the cold wall and the hot wall.
5. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 1, wherein the method comprises the following steps: the development method of the external interface program comprises one or more of Python, MATLAB and C + +.
6. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 1, wherein the method comprises the following steps: step S106 further includes the steps of:
s201, obtaining the hot wall boundary condition distribution at the intermediate moment by an external interface program through a data fitting method according to the known hot wall boundary conditions of the adjacent time nodes, wherein the hot wall boundary condition distribution is used for representing the dynamic distribution of the hot wall boundary conditions among the adjacent time nodes;
s202, selecting transient distribution data of the hot wall boundary conditions required by calculation from the hot wall boundary condition distribution, and importing the transient distribution data into the three-dimensional calculation grid model to obtain the dynamic distribution of the three-dimensional hot wall temperature field.
7. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 4, wherein the method comprises the following steps: the data fitting method comprises one or more of a linear interpolation, a polynomial interpolation or a curve fitting method.
8. The method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall conversion process according to claim 1, wherein the method comprises the following steps: the transformation model is shown as follows:
Figure FDA0003879395160000021
Figure FDA0003879395160000022
Figure FDA0003879395160000023
wherein q is w Representing the net heat flux density introduced into the wall by convection, in kw/m 2 ;q 300 Represents the heat flow density of the gas transferred to the wall surface when the wall surface temperature is 300k, and the unit is kw/m 2 ;h re Represents the enthalpy value, h w Represents wall enthalpy value with the unit of kJ/kg, h 300 Represents the wall enthalpy value when the wall temperature is 300 k; t is w Represents the wall temperature and P represents the surface pressure.
9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: the processor, when executing the computer program, implements the steps of the method for calculating the dynamic distribution of the three-dimensional temperature field in the hot and cold wall conversion process as claimed in claim 1.
10. A storage medium having a computer program, the storage medium characterized by: the computer program when being executed by a processor realizes the steps of the method for calculating the dynamic distribution of the three-dimensional temperature field in the cold-hot wall transformation process as claimed in claim 1.
CN202211224872.7A 2022-10-09 2022-10-09 Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process Pending CN115563778A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211224872.7A CN115563778A (en) 2022-10-09 2022-10-09 Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211224872.7A CN115563778A (en) 2022-10-09 2022-10-09 Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process

Publications (1)

Publication Number Publication Date
CN115563778A true CN115563778A (en) 2023-01-03

Family

ID=84744232

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211224872.7A Pending CN115563778A (en) 2022-10-09 2022-10-09 Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process

Country Status (1)

Country Link
CN (1) CN115563778A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116541969A (en) * 2023-06-29 2023-08-04 中国航发四川燃气涡轮研究院 Thermal resistance-based temperature field calculation method for bolt connection part of gas compressor
CN116738894A (en) * 2023-08-15 2023-09-12 北京凌空天行科技有限责任公司 Rocket engine gas flow numerical simulation method

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116541969A (en) * 2023-06-29 2023-08-04 中国航发四川燃气涡轮研究院 Thermal resistance-based temperature field calculation method for bolt connection part of gas compressor
CN116541969B (en) * 2023-06-29 2023-09-19 中国航发四川燃气涡轮研究院 Thermal resistance-based temperature field calculation method for bolt connection part of gas compressor
CN116738894A (en) * 2023-08-15 2023-09-12 北京凌空天行科技有限责任公司 Rocket engine gas flow numerical simulation method
CN116738894B (en) * 2023-08-15 2023-12-12 北京凌空天行科技有限责任公司 Rocket engine gas flow numerical simulation method

Similar Documents

Publication Publication Date Title
CN115563778A (en) Three-dimensional temperature field dynamic distribution calculation method in cold-hot wall conversion process
CN108009336B (en) Multi-objective optimization method for micro-truss structure bearing and thermal protection structure
Rai et al. Aerodynamic design using neural networks
Li et al. A real-time information integration framework for multidisciplinary coupling of complex aircrafts: an application of IIIE
Ceze et al. Drag prediction using adaptive discontinuous finite elements
Gogu et al. Optimization based algorithms for uncertainty propagation through functions with multidimensional output within evidence theory
Nili-Ahmadabadi et al. Development and validation of a hybrid aerodynamic design method for curved diffusers using genetic algorithm and ball-spine inverse design method
Kalkote et al. Acceleration of later convergence in a density-based solver using adaptive time stepping
Wang et al. Comparison of strategies for coupled flow-thermal analysis of thermal protection system at hypersonic flight condition
Afendikov et al. Numerical simulation of the recirculation flow during the supersonic separation of moving bodies
Huang et al. Aeroelastic simulation using CFD/CSD coupling based on precise integration method
Deng et al. Temporal predictions of periodic flows using a mesh transformation and deep learning-based strategy
CN111027250A (en) Special-shaped curved surface reinforced shell modeling method based on grid deformation technology
Park et al. On physics-based preconditioning of the Navier–Stokes equations
Yourui et al. Reliability modeling and optimization of die-casting existing epistemic uncertainty
Hashimoto et al. Receding Horizon Control for High-Dimensional Burgers' Equations with Boundary Control Inputs
Zeng et al. General synthetic iterative scheme for polyatomic rarefied gas flows
Zhu et al. Fast electrothermal coupling calculation method for supporting digital twin construction of electrical equipment
Xu et al. A study of Nash-EGO algorithm for aerodynamic shape design optimizations
Ghoreyshi et al. Indicial methods for the numerical calculation of dynamic derivatives
Dey et al. Prediction and optimization of unsteady forced convection around a rounded cornered square cylinder in the range of Re
Domaingo et al. A semi-implicit treatment of porous media in steady-state CFD
Fernandes et al. A shape design optimization methodology based on the method of characteristics for rocket nozzles
CN114676639A (en) Aircraft aerodynamic shape optimization method, device and medium based on neural network
Sarma et al. Uncertainty reduction in aeroelastic systems with time-domain reduced-order models

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination