A new study explores multi-fidelity structural optimization for Unmanned Aerial Vehicle (UAV) wings, focusing on reducing weight while maintaining strength and stability. By integrating both low-fidelity and high-fidelity optimization techniques, researchers achieved significant improvements in wing design, leveraging materials like carbon fiber composites and aluminum alloys.
This research highlights a balance between rapid low-fidelity exploration and detailed high-fidelity simulations. Key methods included modifying material orientation and evaluating stiffness, deformation, and safety factors. The optimal configuration reduced weight, minimized deformation, and enhanced structural integrity by switching materials, such as using Al 2024 in place of Al 7075.
Additionally, simulations like finite element analysis (FEA) and computational fluid dynamics (CFD) helped refine the wing’s resilience to external stresses and aerodynamic forces, ensuring safe operation under various conditions. These insights contribute to UAV efficiency in applications like surveillance and environmental monitoring, making lightweight, durable designs more feasible.
This approach underscores the importance of multi-disciplinary optimization in aerospace engineering, offering a path to more sustainable and cost-effective UAVs.
Full Link: https://www.igminresearch.com/articles/html/igmin191
DOI link: https://dx.doi.org/10.61927/igmin191
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