Research on Bionic Hierarchical Optimization of Wing Based on PLSR and PSO

The layout of the wing's internal structure not only dramatically influences the wing's strength stiffness but also directly affects the aerodynamic characteristics of the aircraft. Based on the original wing structure, a more flexible spatial design layout to achieve improved overall stru...

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Vydané v:Mechanika (Kaunas, Lithuania : 1995) Ročník 29; číslo 5; s. 405 - 413
Hlavní autori: ZHANG, Xiaoxin, WANG, Qi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Kaunas Kaunas University of Technology 01.09.2023
Kauno Technologijos Universitetas
Predmet:
Aerodynamic characteristics
Algorithms
Bionics
Design optimization
Internal layout
Least squares method
Lightweight
Load bearing elements
Particle swarm optimization
Swarm intelligence
partial least squares regression
engineering bionics
wing
hierarchical optimization
multi-objective particle swarm algorithm
ISSN:1392-1207, 2029-6983
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Abstract The layout of the wing's internal structure not only dramatically influences the wing's strength stiffness but also directly affects the aerodynamic characteristics of the aircraft. Based on the original wing structure, a more flexible spatial design layout to achieve improved overall structural load-bearing performance, and a reasonable structural lightweight design are the research priorities to be considered for the development of future aircraft. Therefore, this paper attempted to design and analyze a lightweight airfoil that meets the performance requirements. Combining the strategy of hierarchical optimization design with the advantages of engineering bionics, the diatom Arachnoidiscus bionic structure, topological optimization, partial least squares regression (PLSR), and multi-objective particle swarm algorithm (PSO) are applied to optimize the placement and size of wing’s internal components. The simulation results show that the weight of the optimized wing structure is reduced by 6% while satisfying the requirements of maximum stress and maximum deformation.
AbstractList The layout of the wing's internal structure not only dramatically influences the wing's strength stiffness but also directly affects the aerodynamic characteristics of the aircraft. Based on the original wing structure, a more flexible spatial design layout to achieve improved overall structural load-bearing performance, and a reasonable structural lightweight design are the research priorities to be considered for the development of future aircraft. Therefore, this paper attempted to design and analyze a lightweight airfoil that meets the performance requirements. Combining the strategy of hierarchical optimization design with the advantages of engineering bionics, the diatom Arachnoidiscus bionic structure, topological optimization, partial least squares regression (PLSR), and multi-objective particle swarm algorithm (PSO) are applied to optimize the placement and size of wing’s internal components. The simulation results show that the weight of the optimized wing structure is reduced by 6% while satisfying the requirements of maximum stress and maximum deformation.
Audience Academic
Author ZHANG, Xiaoxin
WANG, Qi
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Issue 5
IssueTitle DESIGN AND OPTIMIZATION OF MECHANICAL SYSTEMS
Keywords partial least squares regression
engineering bionics
wing
hierarchical optimization
multi-objective particle swarm algorithm
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Snippet The layout of the wing's internal structure not only dramatically influences the wing's strength stiffness but also directly affects the aerodynamic...
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SubjectTerms Aerodynamic characteristics
Algorithms
Bionics
Design optimization
Internal layout
Least squares method
Lightweight
Load bearing elements
Particle swarm optimization
Swarm intelligence
Title Research on Bionic Hierarchical Optimization of Wing Based on PLSR and PSO
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