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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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Nuclear Engineering and Technology, 2023 The printed circuit heat exchanger (PCHE) with airfoil fins has the benefits of high compactness, high efficiency and superior heat transfer performance.
Jiabing Wang, Linlang Zeng, Kun Yang
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Aerodynamic Optimization Method for Propeller Airfoil Based on DBO-BP and NSWOA
AerospaceTo address the issues of tedious optimization processes, insufficient fitting accuracy of surrogate models, and low optimization efficiency in drone propeller airfoil design, this paper proposes an aerodynamic optimization method for propeller airfoils ...
Changjing Guo +3 more
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A reinforcement learning approach to airfoil shape optimization
Scientific Reports, 2023 Shape optimization is an indispensable step in any aerodynamic design. However, the inherent complexity and non-linearity associated with fluid mechanics as well as the high-dimensional design space intrinsic to such problems make airfoil shape ...
Thomas P. Dussauge +3 more
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Optimization of Flapping Airfoils for Maximum Thrust and Propulsive Efficiency [PDF]
Acta Polytechnica, 2004 A numerical optimization algorithm based on the steepest decent along the variation of the optimization function is implemented for maximizing the thrust and/or propulsive efficiency of a single flapping airfoil.
I. H. Tuncer, M. Kay
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Airfoil optimization using Design-by-Morphing [PDF]
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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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 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 0005 +2 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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