Research and expectation of data fusion method for high mach aerodynamic heat
Current methods for the prediction of high mach aerodynamic heat are introduced in this paper,including engineering calculation,computational fluid dynamics(CFD)and wind tunnel experiment.The characteristics of these methods are evaluated and the applications of machine learning and data fusion are introduced to cover the shortage of traditional methods.This paper summarizes the achievements of data fusion method for aerodynamic heat,which are divided into turbulence modeling,quick evaluation of aerodynamic heat,and the uncertainties and correlations between experiment on the ground and the statues of real flight.Recently,data fusion for aerodynamic heat is still in the exploratory phase,however,due to the large amount of multi-source data,data fusion method has broad application area.The combination of data fusion and aerodynamic heat would not only improve the efficiency for database calculation,but also explore the new mechanism for high mach aerodynamic heat,and promote the development of aerodynamic field.
high machaerodynamic heatmachine learningdata fusionaircraft
NETL
NSTL
万方数据
