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http://dx.doi.org/10.6112/kscfe.2014.19.2.086

PREDICTION OF SEPARATION TRAJECTORY FOR TSTO LAUNCH VEHICLE USING DATABASE BASED ON STEADY STATE ANALYSIS  

Jo, J.H. (Dept. of Aerospace Engineering, KAIST)
Ahn, S.J. (Dept. of Aerospace Engineering, KAIST)
Kwon, O.J. (Dept. of Aerospace Engineering, KAIST)
Publication Information
Journal of computational fluids engineering / v.19, no.2, 2014 , pp. 86-92 More about this Journal
Abstract
In this paper, prediction of separation trajectory for Two-stage-To-Orbit space launch vehicle has been numerically simulated by using an aerodynamic database based on steady state analysis. Aerodynamic database were obtained for matrix of longitudinal and vertical positions. The steady flow simulations around the launch vehicle have been made by using a 3-D RANS flow solver based on unstructured meshes. For this purpose, a vertex-centered finite-volume method was adopted to discretize inviscid and viscous fluxes. Roe's finite difference splitting was utilized to discretize the inviscid fluxes, and the viscous fluxes were computed based on central differencing. To validate this flow solver, calculations were made for the wind-tunnel experiment model of the LGBB TSTO vehicle configuration on steady state conditions. Aerodynamic database was constructed by using flow simulations based on test matrix from the wind-tunnel experiment. ANN(Artificial Neural Network) was applied to construct interpolation function among aerodynamic variables. Separation trajectory for TSTO launch vehicle was predicted from 6-DOF equation of motion based on the interpolated function. The result of present separation trajectory calculation was compared with the trajectory using experimental database. The predicted results for the separation trajectory shows fair agreement with reference[4] solution.
Keywords
Space Launch Vehicle; Supersonic Flow; Stage Separation; Database; 6 Degree of Freedom Equation of Motion; Artificial Neural Network;
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