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Numerical Simulation And Identification Met-Hod For Hvnersonic Aero-heating

Posted on:2020-09-28Degree:MasterType:Thesis
Country:ChinaCandidate:X H PanFull Text:PDF
GTID:2370330572476855Subject:Aircraft design
Abstract/Summary:PDF Full Text Request
Aerodynamic heating is very important in the development of hypersonic aircraft.In this paper,numerical method and identification method of aerodynamic heat are studied for hypersonic aerodynamic thermal environment.In this paper,the numerical method of aerodynamic heat is studied firstly,and the flow and method of numerical calculation of aerodynamic heat are introduced in detail.Numerical simulation method is used to calculate aerodynamic heat of a typical shape surface,and the results are compared with experimental data.Then,the surface heat flow identification technology is studied.Aiming at the simple one-dimensional heat conduction,the corresponding identification model and algorithm are established.The typical heat flow loading form is designed for simulation.Aiming at the three-dimensional heat flow identification,an artificial neural network correction scheme is introduced based on the one-dimensional identification.Considering the complex heating environment in hypersonic flight,the identification of fluid-solid interaction aerodynamic thermal environment is carried out.Aiming at the two typical shapes of blunt body and plate convex object respectively,aerodynamic and thermal changes of structure surface and inner wall temperature changes were obtained by unsteady calculation of fluid-solid interaction.The three-dimensional effect correction method of thermal flow identification was applied to aerodynamic and thermal identification of severely heated regions of the structure.The simulation results show that the hypersonic aerodynamic thermal numerical prediction method and on-line identification model algorithm are accurate and effective,and have certain guiding significance for engineering application.
Keywords/Search Tags:hypersonic, aerodynamic heat, numerical method, identification, neural network, fluid-solid interaction
PDF Full Text Request
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