Research Information System
Thesis Type: Postgraduate
Institution Of The Thesis: Gazi University, Fen Bilimleri Enstitüsü, Turkey
Approval Date: 2023
Thesis Language: Turkish
Student: Buğra BATAN
Principal Supervisor (For Co-Supervisor Theses): Tamer Çalışır
Co-Supervisor: Şahin Yiğit
Abstract:
As the number of flights in the ever-growing aviation industry increases, so does the carbon footprint of airplanes. Improving the aerodynamic performance of aircraft has become a critical requirement. Therefore, aerodynamic shape optimization (ASO) is of great importance in the design of aircraft components. In this study, a computational fluid dynamics (CFD) based parametric ASO framework is designed using open-source tools to optimize the geometries of a fixed aircraft wing (ONERA M6) and N2A-EXTE aircraft in the transonic regime. The results obtained using the presented ASO framework show that a fixed wing (ONERA M6) improves the transport/drag ratio by approximately 18% and a maximum relative improvement of 10% for the N2A-EXTE aircraft. The reasons for the relative improvement in the pressure distribution over the optimized aerodynamic surfaces and supersonic regions compared to the initial geometry are presented. The new designs for the N2A-EXTE aircraft are also compared with the original aircraft geometry in terms of volume, surface area and longitudinal static stability characteristics. Optimization studies on a generic wing and a real aircraft have shown that the ASO framework is sufficiently stable and works well. The open source software included in the ASO framework designed in this study is interchangeable with other design tools and can be easily used in different aerospace applications and preliminary design stages of aircraft. The ASO framework presented in the present study can be considered as the first step in future multidisciplinary ASO framework.
Key Words
: Open Source Softwares, Blended Wing Body, Aerodynamic Shape
Optimization, CFD, OpenFOAM