Jaimon Dennis Quadros1, Sher Afghan Khan2, Abdul Aabid3,*, Muneer Baig3
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2331-2352, 2023, DOI:10.32604/cmes.2023.028925
Abstract The application of abruptly enlarged flows to adjust the drag of aerodynamic vehicles using machine learning
models has not been investigated previously. The process variables (Mach number (M), nozzle pressure ratio (η),
area ratio (α), and length to diameter ratio (γ )) were numerically explored to address several aspects of this process,
namely base pressure (β) and base pressure with cavity (βcav). In this work, the optimal base pressure is determined
using the PCA-BAS-ENN based algorithm to modify the base pressure presetting accuracy, thereby regulating the
base drag required for smooth flow of aerodynamic vehicles. Based on the identical dataset,… More >
Graphic Abstract
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