Machine learning in aerodynamic shape optimization
Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …
optimization (ASO), thanks to the availability of aerodynamic data and continued …
Airfoil design and surrogate modeling for performance prediction based on deep learning method
Q Du, T Liu, L Yang, L Li, D Zhang, Y Xie - Physics of Fluids, 2022 - pubs.aip.org
Airfoil design and surrogate modeling for performance prediction based on deep learning
method | Physics of Fluids | AIP Publishing Skip to Main Content Umbrella Alt Text Umbrella Alt …
method | Physics of Fluids | AIP Publishing Skip to Main Content Umbrella Alt Text Umbrella Alt …
Low-Reynolds-number airfoil design optimization using deep-learning-based tailored airfoil modes
Low-Reynolds-number high-lift airfoil design is critical to the performance of unmanned
aerial vehicles (UAV). However, since laminar-to-turbulent transition dominates the …
aerial vehicles (UAV). However, since laminar-to-turbulent transition dominates the …
Machine learning-based optimization of a pitching airfoil performance in dynamic stall conditions using a suction controller
Flow separation control on oscillating airfoils is crucial for enhancing the efficiency of turbine
blades. In this study, a genetic algorithm was employed to optimize the configuration of a …
blades. In this study, a genetic algorithm was employed to optimize the configuration of a …
Airfoil shape optimization using genetic algorithm coupled deep neural networks
To alleviate the computational burden associated with the computational fluid dynamics
(CFD) simulation stage and improve aerodynamic optimization efficiency, this work develops …
(CFD) simulation stage and improve aerodynamic optimization efficiency, this work develops …
Airfoils optimization based on deep reinforcement learning to improve the aerodynamic performance of rotors
Airfoil optimization is the key to improving the aerodynamic performance of a rotor. However,
conventional optimization approaches cannot modify the airfoil shape intelligently in the way …
conventional optimization approaches cannot modify the airfoil shape intelligently in the way …
Fast prediction of flow field around airfoils based on deep convolutional neural network
We propose a steady-state aerodynamic data-driven method to predict the incompressible
flow around airfoils of NACA (National Advisory Committee for Aeronautics) 0012-series …
flow around airfoils of NACA (National Advisory Committee for Aeronautics) 0012-series …
A review on shape optimization of hulls and airfoils leveraging Computational Fluid Dynamics Data-Driven Surrogate models
Shape optimization of vessel hulls and airfoils is crucial for achieving optimal performance
and minimizing environmental impact. Typically, these designs are adaptations of existing …
and minimizing environmental impact. Typically, these designs are adaptations of existing …
The application of support vector regression and virtual sample generation technique in the optimization design of transonic compressor
H Hu, Y Song, J Yu, Y Liu, F Chen - Aerospace Science and Technology, 2022 - Elsevier
With the development of artificial intelligence, machine learning technique has been applied
in turbomachinery optimization. However, the performance of a classic machine learning …
in turbomachinery optimization. However, the performance of a classic machine learning …
Aerodynamic design and optimization of blade end wall profile of turbomachinery based on series convolutional neural network
Q Du, L Yang, L Li, T Liu, D Zhang, Y Xie - Energy, 2022 - Elsevier
End wall contraction is an effective approach to reduce the substantial secondary loss in the
cascade with low aspect ratio. This paper proposed a series convolutional neural network …
cascade with low aspect ratio. This paper proposed a series convolutional neural network …