Fully Parametric Modeling Method for Integrated Blended-Wing-Body and Distributed Ducted Fans
Abstract
The Blended Wing Body (BWB) configuration refers to a fully lifting surface aircraft design where the wing and fuselage are highly integrated, demonstrating significant performance advantages and development potential in improving cruise efficiency, emission reduction, and noise suppression. For aerodynamic layout design, holistic optimization and optimal positional matching between propulsion systems and the airframe can substantially enhance overall aerodynamic performance. Geometry reconstruction technology serves as a critical component in establishing airframe-propulsion integrated optimization systems, acting as the key link between optimization algorithms and numerical simulation techniques. This study focuses on breakthroughs in automatic deformation and reconstruction methods for the 3D BWB-distributed ducted fan model. By utilizing minimal design variables to flexibly control geometric variations, the geometric features of the integrated system are first divided into the BWB airframe and distributed ducted fans. The BWB airframe is constructed through parametric modeling of its airfoil sections and planform geometry, while the ducted fans are built via parametric airfoil profiles and radial characteristic parameter curves. Finally, the fully parametric integrated BWB-distributed ducted fan model is completed through programmatic compilation. Parametric modeling of airframe-propulsion integration enables better establishment of relationships between geometric features and performance metrics. This approach expands the design diversity and controllability of BWB-distributed ducted fan configurations, providing a robust model foundation for optimizing diverse performance objectives and supporting rapid iteration of overall system architectures.
Fields of Study & Subjects
Advanced Aircraft Design and Technologies
Computational Fluid Dynamics and Aerodynamics
Aeroelasticity and Vibration Control
Publication details
- Journal / source
- Advances in transdisciplinary engineering
- Publication date
- 3 March 2026
- Language
- EN
- Document type
- Book chapter