Affiliation:
1. School of Aerospace Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
2. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract
Herein, a twin-boom, inverted V-tailed unmanned aerial vehicle (UAV) featuring a foldable bi-wing configuration is proposed for logistics and transportation applications. We employed the Navier–Stokes solver to numerically simulate steady, incompressible flow conditions. By examining the effects of key design parameters on aerodynamic characteristics and bypass flow fields in a two-dimensional state, we were able to suggest a more optimized foldable wing design. Building on the two-dimensional analysis, we performed aerodynamic assessments of the three-dimensional aircraft geometry. Our results indicated that appropriate wing and gap parameters can significantly enhance lift characteristics, maintaining high lift even during large-angle flights. Specifically, when compared to a mono-wing, the lift coefficient of the bi-wing increased by 27.1% at a 14° angle of attack, demonstrating the effectiveness of our wing-and-gap design. Optimal aerodynamic performance was achieved when the gap distance equalled the chord length in both flow and vertical directions. Further, the right combination of airfoil configuration, wing axes angle, and wingspan can improve flow field aerodynamic characteristics, while also enhancing the wing’s stall capacity. The lift coefficient reached its maximum value at an angle of attack of 15°, which has the potential to reduce takeoff and landing distances, thereby enhancing the UAV’s overall safety.
Funder
Henan Key Laboratory of General Aviation Technology
Reference61 articles.
1. Research on the future development of UAV logistics distribution industry—Analysis of self-developed new UAV based on Meituan release;S. Lin;Logistics Engineering and Management,2022
2. Low-cost autonomous UAV-based solutions to package delivery logistics;J. Grzybowski
3. Risk Assessment Model for UAV Cost-Effective Path Planning in Urban Environments
4. The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones
5. An Air Route Network Planning Model of Logistics UAV Terminal Distribution in Urban Low Altitude Airspace