Flow optimization around slender bodies using active aerodynamic flow control

Date

2024-9-05

Author

Arslan, Kıvanç

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Aerodynamic performance of air vehicles is directly related to the flowfield around them. Flow control methods can be used to prevent, delay or control the flow phenomena such as separation, boundary layer transition and generation of asymmetric vortices, which limit/reduce the performance of the air vehicle. Accordingly, a higher level of aerodynamic performance can be achieved, which is not possible with traditional design approaches. In contrast to passive methods, it is possible to control the flowfield around the air vehicle dynamically with active flow control methods and necessary changes can be made depending on the flight conditions. For slender bodies with circular cross-section, at high angles of attack, asymmetric vortex flow around the body leads to undesirable side forces even at zero side slip angle. In this thesis, the flowfield around a slender body at a high angle of attack and the effectiveness of active flow control via blowing is investigated using numerical methods. Machine learning based algorithms are applied to learn complex flowfield and aerodynamic behavior. A novel algorithm to be used for efficient control agent training is proposed. Then, the suggested algorithm is tested for proper control outputs to prevent unintended side force on a slender body. A methodology that can be used to design active flow control systems for slender bodies at high angle of attack is the main outcome of this research.

Subject Keywords

Active flow control, High angle of attack aerodynamics, Computational fluid dynamics, Forebody vortices, Machine learning

URI

https://hdl.handle.net/11511/111470

Collections

Graduate School of Natural and Applied Sciences, Thesis