Aerodynamic Characteristics Optimization Design of the HALE Joined‐Wing Configuration UAV

This study investigates the factors influencing the aerodynamic performance enhancement of the rear wing of the joined‐wing configuration UAVs by analyzing the flow field structure and flow mechanisms before and after airfoil optimization. Correspondingly, an optimization design concept tailored to joined‐wing aircraft is proposed. Focusing on the rear wing, a three‐dimensional design framework integrating geometric parameterization, aerodynamic simulation, and radar performance analysis was developed. The accuracy of the surrogate model was enhanced through multiround updating and optimization, and the optimal solution was derived using a genetic algorithm. The results demonstrate that the lift–drag ratio of the rear wing has been improved by approximately 9.7%. Specifically, the optimization outcomes confirm that adjusting the airfoil geometry and introducing a spanwise variation in the installation angle of control surfaces mitigates the adverse effects of front‐wing downwash on the rear wing, thereby improving the overall aerodynamic characteristics. By fully accounting for the interference of Frt‐wing downwash, this framework addresses the core challenges in rear‐wing aerodynamic optimization and provides an effective solution for enhancing the high‐altitude flight efficiency of UAVs.

Authors

Institutions

Publication Details

Journal
International Journal of Aerospace Engineering
Published
2026-01-01
DOI
https://doi.org/10.1155/ijae/6628131
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aerodynamic Characteristics Optimization Design of the HALE Joined‐Wing Configuration UAV

J.Y.-C. Sun, Zhou Zhou, TserendondogTengis, Jian Zhang
International Journal of Aerospace Engineering
Computational Fluid Dynamics and Aerodynamics
article

Aerodynamic Characteristics Optimization Design of the HALE Joined‐Wing Configuration UAV

J.Y.-C. Sun, Zhou Zhou, TserendondogTengis, Jian Zhang
article en

Abstract

This study investigates the factors influencing the aerodynamic performance enhancement of the rear wing of the joined‐wing configuration UAVs by analyzing the flow field structure and flow mechanisms before and after airfoil optimization. Correspondingly, an optimization design concept tailored to joined‐wing aircraft is proposed. Focusing on the rear wing, a three‐dimensional design framework integrating geometric parameterization, aerodynamic simulation, and radar performance analysis was developed. The accuracy of the surrogate model was enhanced through multiround updating and optimization, and the optimal solution was derived using a genetic algorithm. The results demonstrate that the lift–drag ratio of the rear wing has been improved by approximately 9.7%. Specifically, the optimization outcomes confirm that adjusting the airfoil geometry and introducing a spanwise variation in the installation angle of control surfaces mitigates the adverse effects of front‐wing downwash on the rear wing, thereby improving the overall aerodynamic characteristics. By fully accounting for the interference of Frt‐wing downwash, this framework addresses the core challenges in rear‐wing aerodynamic optimization and provides an effective solution for enhancing the high‐altitude flight efficiency of UAVs.

International Journal of Aerospace EngineeringVol. 2026(1)
Mongolian University of Science and Technology (MN), Northwestern Polytechnical University (CN), Craft Group (China) (CN), Institute of Engineering Thermophysics (CN)
Affordable and clean energy
Openalex Percentile: Top 9%
Computational Fluid Dynamics and Aerodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Aerodynamic Characteristics Optimization Design of the HALE Joined‐Wing Configuration UAV — J.Y.-C. Sun, Zhou Zhou, et al. · International Journal of Aerospace Engineering (2026) | TGRS Research Map | TGRS