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Integrated Aerodynamic and Stealth Design of Wing Airfoil Based on Generative Model 认领 引用
1
作者 CHI Xinyan ZENG Lifang +1 位作者 LI Jun LI Yuhang 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第3期427-442,共16页
Generative design methods have been widely applied in modern aircraft aerodynamic design.However,the integrated optimization of aerodynamic and stealth performance in aircraft still relies on surrogate models and mult... Generative design methods have been widely applied in modern aircraft aerodynamic design.However,the integrated optimization of aerodynamic and stealth performance in aircraft still relies on surrogate models and multiobjective optimization algorithms.To address the complex verification and optimization procedures in current integrated aerodynamic-stealth aircraft design,this paper proposes a rapid generative design method based on a conditional denoising diffusion probability model(CDDPM).First,the class-shape transformation(CST)method is employed for parametric modeling of airfoils.To build the aerodynamic and stealth performance datasets,the vortex lattice method and the physical optics method for large-sized objects are used to compute the lift-to-drag ratio(L/D)and radar cross-section(RCS),respectively.Based on the dataset,a generative conditional diffusion model is implemented to achieve the mapping relationship from target performance(L/D and RCS)to CST parameters of wing airfoils.Validation results indicate that the prediction errors for the generative model in aerodynamic-stealth performance are smaller than 6%.Meanwhile,the generated airfoils exhibit notable diversity.Furthermore,optimization design of airfoils considering both aerodynamic and stealth performance is conducted,where the diffusion model is utilized to generate new airfoils to expand the design space.The pareto front is obviously expanded with the minimum RCS decreased by 28.6%,and the maximum L/D increased by 7.5%.This study establishes a generative model-based framework for rapid aerodynamic-stealth optimization of airfoils,laying a foundation for AI-driven multidisciplinary design optimization(MDO)in aircraft design. 展开更多
关键词 integrated aerodynamic-stealth design generative design diffusion model class-shape transformation(CST)parameterization lift-to-drag ratio radar cross-section(RCS)
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Parametric Geometric Model and Shape Optimization of Airfoils of a Biomimetic Manta Ray Underwater Vehicle 认领 引用 被引量：3
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作者 LUO Yang PAN Guang +2 位作者 HUANG Qiaogao SHI Yao LAI Hui 《Journal of Shanghai Jiaotong university(Science)》 EI 2019年第3期402-408,共7页
As a new kind of autonomous underwater vehicle,bionic submersible has many merits such as high efficiency and low costs.In order to obtain such advantages,it is a good way to simulate the shapes of marine animals and ... As a new kind of autonomous underwater vehicle,bionic submersible has many merits such as high efficiency and low costs.In order to obtain such advantages,it is a good way to simulate the shapes of marine animals and apply them to the design of artificial underwater vehicle.In this paper,an optimization system of airfoils is proposed by the improved class-shape-transformation(CST)parameterization method and genetic algorithm(GA).The appearance of a manta-ray-inspired underwater vehicle is rebuilt using the optimal sectional airfoils obtained by the proposed optimization system.Computational simulations are carried out to investigate the hydrodynamic performance of the submersible using the commercial computational fluid dynamics(CFD)code Fluent.The results demonstrate that the maximum thickness of the vehicle increases by 9%,which means the loading capacity is increased.Moreover,the underwater vehicle shows better hydrodynamic performance,and the lift-drag ratio of initial design is increased by more than 10%using the presented optimization system of airfoils. 展开更多
关键词 biomimetic underwater vehicle class-shape-transformation(CST) parameterization method shape optimization computational fluid dynamics(CFD)
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