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
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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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