TY - JOUR
T1 - Two-Way Coupled Aero-Structural Optimization of Stable Flying Wings
AU - Hoyos, José D.
AU - Echavarría, Camilo
AU - Alvarado, Juan P.
AU - Suárez, Gustavo
AU - Niño, Juliana A.
AU - García, Jorge I.
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/4/2
Y1 - 2023/4/2
N2 - An aero-structural algorithm to optimize a flying wing in cruise conditions for preliminary design is developed using two-way interaction between the structure and aerodynamics. A particle swarm routine is employed to solve the multi-objective optimization, aiming to reduce the weight of the structure and the aerodynamic drag at the design point. Different shapes are evaluated during the optimization process until the algorithm reaches the optimal wing aspect ratio, taper ratio, angle of incidence, twist angle, swept angle, and airfoil shape, where a six-parameters method is employed to allow reflex airfoils. A main isotropic I-beam models the wing structure. An extended vortex lattice model is employed to model the aerodynamics, along with a high-order panel method with fully coupled viscous interaction. The finite element method is used to solve the flying-wing structure under static loads. An algorithm is developed to iterate between the deflection of the wing and its impact on the aerodynamics until convergence is reached. Different constraints are implemented into the objective function to fulfil the structural criteria and the longitudinal static stability. A comparison against a baseline optimization is carried out, achieving higher efficiency and promising results in elliptical lift distribution, and a high static margin, without the use of non-constant twist. The results suggest that combining both reflex airfoils and sweep with washout is the optimal solution to reduce the drag and weight, keeping the longitudinal static stability criteria for tailless aircraft in the lower end of the transonic regime.
AB - An aero-structural algorithm to optimize a flying wing in cruise conditions for preliminary design is developed using two-way interaction between the structure and aerodynamics. A particle swarm routine is employed to solve the multi-objective optimization, aiming to reduce the weight of the structure and the aerodynamic drag at the design point. Different shapes are evaluated during the optimization process until the algorithm reaches the optimal wing aspect ratio, taper ratio, angle of incidence, twist angle, swept angle, and airfoil shape, where a six-parameters method is employed to allow reflex airfoils. A main isotropic I-beam models the wing structure. An extended vortex lattice model is employed to model the aerodynamics, along with a high-order panel method with fully coupled viscous interaction. The finite element method is used to solve the flying-wing structure under static loads. An algorithm is developed to iterate between the deflection of the wing and its impact on the aerodynamics until convergence is reached. Different constraints are implemented into the objective function to fulfil the structural criteria and the longitudinal static stability. A comparison against a baseline optimization is carried out, achieving higher efficiency and promising results in elliptical lift distribution, and a high static margin, without the use of non-constant twist. The results suggest that combining both reflex airfoils and sweep with washout is the optimal solution to reduce the drag and weight, keeping the longitudinal static stability criteria for tailless aircraft in the lower end of the transonic regime.
KW - aero-structural optimization
KW - finite element analysis
KW - flying wing
KW - longitudinal stability
KW - multi-objective optimization
KW - multidisciplinary optimization
KW - particle swarm optimization
KW - tailless aircraft
KW - wing optimization
UR - http://www.scopus.com/inward/record.url?scp=85156124788&partnerID=8YFLogxK
U2 - 10.3390/aerospace10040346
DO - 10.3390/aerospace10040346
M3 - Artículo en revista científica indexada
AN - SCOPUS:85156124788
SN - 2226-4310
VL - 10
JO - Aerospace
JF - Aerospace
IS - 4
M1 - 346
ER -