Akademik Veri Yönetim Sistemi
20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Bhurban, Pakistan, 22 - 25 Ağustos 2023, ss.651-660, (Tam Metin Bildiri)
Aerodynamic shape optimization of hypersonic vehicles is crucial during the conceptual design stage owing to the formation of powerful bow shockwaves in hypersonic flow. These shockwaves cause high pressures and temperatures at the vehicle's nose leading to a high risk of heat shield failure. The design goals for heat and drag reduction are discovered to be conflicting in the sense that achieving one of them undermines the other. Hence, to counter these risks simultaneously, a forward disk-tip spike can be added as it reduces drag and pressure by forming oblique shocks and separation regions. In this study, various aero-disk configurations of a hypersonic vehicle are investigated at Mach numbers 4.0 to 7.0. Aerodynamic forces and heating characteristics of the blunt bodies with spike-based aerodisk is analyzed at different design conditions using Computational Fluid Dynamics (CFD). After a thorough evaluation of the flow-field characteristics using CFD, machine learning-based prediction of certain geometric and aero-thermodynamic parameters is implemented. This process proves to be an efficient and reliable framework for optimizing and predicting aero-thermodynamic parameters for various fore-body configurations.