This project conducts computational fluid dynamics (CFD) simulations on unmanned aerial vehicles (UAVs) using the SimScale cloud-based simulation platform. The primary objective is to analyze the aerodynamic performance of drone configurations under various flight conditions, including hover, forward flight, and transition maneuvers. Key outputs include pressure distribution, lift and drag coefficients, thrust characteristics, and wake flow patterns. The simulation employs advanced modeling techniques such as the Multiple Reference Frame (MRF) approach for rotor dynamics and localized mesh refinement to capture critical flow features around the airframe and rotating components. The results will inform design optimization, improve flight efficiency, and validate aerodynamic predictions against theoretical benchmarks.
1049290380 created this project
24 days ago
This project conducts computational fluid dynamics (CFD) simulations on unmanned aerial vehicles (UAVs) using the SimScale cloud-based simulation platform. The primary objective is to analyze the aerodynamic performance of drone configurations under various flight conditions, including hover, forward flight, and transition maneuvers. Key outputs include pressure distribution, lift and drag coefficients, thrust characteristics, and wake flow patterns. The simulation employs advanced modeling techniques such as the Multiple Reference Frame (MRF) approach for rotor dynamics and localized mesh refinement to capture critical flow features around the airframe and rotating components. The results will inform design optimization, improve flight efficiency, and validate aerodynamic predictions against theoretical benchmarks.