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Multi-network collaborative lift-drag ratio prediction and airfoil optimization based on residual network and generative adversarial network [PDF]
Frontiers in Bioengineering and Biotechnology, 2022 As compared with the computational fluid dynamics(CFD), the airfoil optimization based on deep learning significantly reduces the computational cost. In the airfoil optimization based on deep learning, due to the uncertainty in the neural network, the ...
Xiaoyu Zhao +4 more
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Aerodynamic optimization design of Z-shaped folding UAV [PDF]
Journal of Hebei University of Science and Technology, 2023 Aiming at the problems of rolling torque and yaw torque of zigzag UAV, a multi-objective optimization method based on hybrid airfoil parameterization was proposed.
Bin MENG +4 more
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Airfoil Robust Optimization Based on Convolutional Neural Network and Polynomial Chaos Method
Hangkong gongcheng jinzhan, 2021 In conventional airfoil optimization design method, the aerodynamic performance of the optimal airfoil can deteriorate at the non-design point, so it is necessary to study the airfoil robust optimization method.An airfoil robustness design method based ...
GAO Yuan +4 more
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Airfoil shape optimization using Bézier curve and genetic algorithm
Aviation, 2022 There are different types of airfoil used in many applications such as energy production, aerospace, mixing of fluid products. Design optimization studies are still being carried out on the airfoil type structures.
Hatice Cansu Ayaz Ümütlü, Zeki Kiral
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Enhancing Airfoil Performance through Artificial Neural Networks and Genetic Algorithm Optimization [PDF]
INCAS Bulletin, 2023 As airfoil design plays a crucial role in achieving superior aerodynamic performances, optimization has become an essential part in various engineering applications, including aeronautics and wind energy production.
Mara-Florina NEGOITA +3 more
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Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization
Journal of Computational Design and Engineering, 2023 Abstract The current design of aerodynamic shapes, like airfoils, involves computationally intensive simulations to explore the possible design space. Usually, such design relies on the prior definition of design parameters and places restrictions on synthesizing novel shapes.
Yuyang Wang +2 more
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Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm
International Journal of Aerospace Engineering, 2022 Airfoil optimization is an essential task in the aerodynamic layout design of the unmanned aerial vehicle (UAV). An objective optimization function was constructed based on the airfoil power factor and handling stability at various attack angles.
Tieying Jiang, Liang Jiang
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Machine Learning Assisted Prediction of Airfoil Lift-to-Drag Characteristics for Mars Helicopter
Aerospace, 2023 The aerodynamic properties of rotor systems operating within low Reynolds number flow field conditions are profoundly influenced by their geometric and flight parameters.
Pengyue Zhao +5 more
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Airfoil optimization using Design-by-Morphing
Journal of Computational Design and Engineering, 2023 Abstract Design-by-Morphing (DbM) is a novel design methodology that creates a search space for topology optimization. Traditional design techniques often impose geometric constraints and, sometimes, the designer’s biases on the design space, which restricts the novelty of the designs and allows for only small local changes.
Haris Moazam Sheikh +3 more
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Journal of Hydroinformatics, 2023 In order to improve the fine optimization technology of flow measurement facilities in irrigation areas, the hydraulic characteristics optimization system of an airfoil pillar-shaped flume is constructed.
Zhanqi Song +3 more
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