Mars entering device stationary point heat flow prediction method and device, electronic device and medium
A technology of Mars entry and prediction method, applied in prediction, neural learning method, design optimization/simulation, etc., can solve the problems of not fully understood physical phenomena, aerodynamic parameters exceeding design values, insufficient understanding, etc., to avoid time And the huge demand for resources, the effect of solving the lack of prediction accuracy
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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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