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Method, device, electronic equipment and medium for predicting heat flow at stagnation point of Mars entry vehicle

A technology of Mars entry and prediction method, applied in prediction, neural learning method, design optimization/simulation, etc., can solve problems such as aerodynamic parameters exceeding design values, not fully understood physical phenomena, unable to reflect flow non-equilibrium characteristics, etc. Achieve the effect of solving insufficient forecasting accuracy and avoiding huge demands on time and resources

Active Publication Date: 2021-12-14
CHINA ACAD OF AEROSPACE AERODYNAMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Insufficient understanding of the nature of the Martian atmosphere and insufficient ability to predict the aerodynamic and thermal characteristics of Mars entry lead to large uncertainties in the orbit design and thermal protection system design of early Mars entry vehicles, resulting in the fact that the aerodynamic parameters in the actual entry process are often very different. Easily exceed design values ​​or encounter poorly understood physical phenomena, which eventually lead to mission failure
In the literature, Wright reviewed the development and application of the aerothermodynamic model. At present, the uncertainty of the prediction of the aerothermal environment of the Mars enterer has been greatly improved. However, in the engineering design, the thermal protection system of the enterer requires a large number of orbit states The thermal environment data corresponding to the point is used for design, and the calculation of the thermochemical non-equilibrium flow in the Martian atmosphere consumes computing resources and takes a long time, which cannot meet the engineering requirements
Therefore, engineering methods are often used to give the stagnation point heat flow value, but the engineering method is generally a simple fitting formula based on the boundary layer theory. reflect the non-equilibrium nature of the flow

Method used

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  • Method, device, electronic equipment and medium for predicting heat flow at stagnation point of Mars entry vehicle
  • Method, device, electronic equipment and medium for predicting heat flow at stagnation point of Mars entry vehicle
  • Method, device, electronic equipment and medium for predicting heat flow at stagnation point of Mars entry vehicle

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0157] figure 1 A flowchart showing the steps of a method for predicting heat flow at a stagnation point of a Mars enterer according to an embodiment of the present invention.

[0158] Such as figure 1 As shown, the method for predicting heat flow at the stagnation point of the Mars entrant includes: step 101, determining the geometry and flow field characteristics of the entrant, and then determining multiple sets of state combinations; Calculate the balance flow field, calculate the heat flow value of the stagnation point, and obtain the sample data set; step 103, construct the neural network model, and train the neural network according to the sample data set, and obtain the final neural network model; step 104, predict through the final neural network model Stagnant point convective heat flow.

[0159] The geometry and flow field feature quantities of the injector are selected, specifically the radius of curvature of the injector head, the density of the Martian atmosphe...

Embodiment 2

[0183] image 3 A block diagram of a heat flow prediction device at a stagnation point of a Mars enterer according to an embodiment of the present invention is shown.

[0184] Such as image 3 As shown, the heat flow prediction device at the stagnation point of the Mars entrant includes:

[0185] The state combination determination module 201 determines the geometry and flow field characteristics of the entrant, and then determines multiple sets of state combinations;

[0186] The sample data set determination module 202 is used to calculate the thermochemical non-equilibrium flow field of Mars atmosphere for each group of state combinations, calculate the stagnation heat flow value, and obtain the sample data set;

[0187] Training module 203, constructing a neural network model, and training the neural network according to the sample data set, to obtain the final neural network model;

[0188] The prediction module 204 is used to predict the convective heat flow at the st...

Embodiment 3

[0207] The present disclosure provides an electronic device comprising: a memory storing executable instructions; a processor running the executable instructions in the memory to implement the above method for predicting heat flow at a stagnation point of a Mars enterer.

[0208] An electronic device according to an embodiment of the present disclosure includes a memory and a processor.

[0209] The memory is used to store non-transitory computer readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache). The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, and the like.

[0210] The processor may be a central processing unit (CPU) or other form of processing unit hav...

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Abstract

The application discloses a method, device, electronic equipment and medium for predicting stagnation point heat flow of a Mars enterer. The method may include: determining the geometry and flow field characteristic quantities of the enterer, and then determining multiple sets of state combinations; calculating the thermochemical non-equilibrium flow field of the Martian atmosphere for each set of state combinations, calculating the heat flow value at the stagnation point, and obtaining a sample data set ; Build a neural network model, and train the neural network according to the sample data set to obtain the final neural network model; predict the convective heat flow at the stagnation point through the final neural network model. The invention is based on grid debugging and preliminary calculation of the mean molecular free path, and based on key technologies such as neural network training, so as to realize accurate and rapid prediction of heat flow at the stagnation point of the Mars enterer.

Description

technical field [0001] The invention relates to the technical field of aerodynamic thermal environment simulation, and more specifically, to a method, device, electronic equipment and medium for predicting stagnation point heat flow of a Mars enterer. Background technique [0002] Mars is the closest planet to Earth and the most explored planet in the solar system. Humans have explored Mars for nearly 60 years. Only 7 of the previous 15 Mars landing missions were successful. Most of the failed missions occurred in the descent and landing phase of the probe, namely EDL (Entry-Descent-Landing), so this process is the key to the success or failure of the mission. [0003] In the entry phase of the Mars exploration EDL process, the problems faced come from the special atmospheric composition and thin environment of Mars. new requirements. Insufficient understanding of the nature of the Martian atmosphere and insufficient ability to predict the aerodynamic and thermal character...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06F30/23G06N3/04G06N3/08G06Q10/04
CPCG06F30/27G06F30/23G06Q10/04G06N3/04G06N3/08
Inventor 吕俊明苏鹏辉程晓丽
Owner CHINA ACAD OF AEROSPACE AERODYNAMICS
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