Design exploration and optimization of aerodynamics and radar cross section for a fighter aircraft

The design for the conflicting requirements of low drag and low Radar Cross Section (RCS) causes difficulty in achieving an aerodynamically superior stealth aircraft. To cater the issue, a multidisciplinary design exploration and optimization framework is proposed. A shared parameterized aircraft ge...

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Bibliographic Details
Published in:Aerospace science and technology 2023-02, Vol.133, p.108114, Article 108114
Main Authors: Taj, Zia Ud Din, Bilal, Ahmad, Awais, Muhammad, Salamat, Shuaib, Abbas, Messam, Maqsood, Adnan
Format: Article
Language:English
Subjects:
CFD
Gaussian process
Multi-objective genetic algorithm
Multidisciplinary optimization
RCS
Shooting and bouncing rays
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Summary:The design for the conflicting requirements of low drag and low Radar Cross Section (RCS) causes difficulty in achieving an aerodynamically superior stealth aircraft. To cater the issue, a multidisciplinary design exploration and optimization framework is proposed. A shared parameterized aircraft geometry is used for high fidelity aero-stealth analysis using Computational Fluid Dynamics (CFD) and Shooting and Bouncing Rays (SBR) techniques. A surrogate model using a machine learning approach involving Gaussian Process (GP) modelling is generated for efficient and rapid design space exploration. A gradient-free metaheuristic optimization scheme using multi-objective Genetic Algorithm (GA) is employed to minimize drag and RCS. The results show that the proposed framework provides a reliable environment for the multidisciplinary design exploration of an aerial vehicle.
ISSN:1270-9638
1626-3219
DOI:10.1016/j.ast.2023.108114