[HTML][HTML] Advanced UAV Design Optimization Through Deep Learning-Based Surrogate Models

H Karali, G Inalhan, A Tsourdos - Aerospace, 2024 - mdpi.com
The conceptual design of unmanned aerial vehicles (UAVs) presents significant
multidisciplinary challenges requiring the optimization of aerodynamic and structural …

A deep learning framework for aerodynamic pressure prediction on general three-dimensional configurations

Y Shen, W Huang, Z Wang, D Xu, CY Liu - Physics of Fluids, 2023 - pubs.aip.org
In this paper, a deep learning framework is proposed for predicting aerodynamic pressure
distributions in general three-dimensional configurations. Based on the PointNet++ …

Efficient aerodynamic shape optimization by using unsupervised manifold learning to filter geometric features

L Ma, XJ Wu, WW Zhang - Engineering Applications of …, 2024 - Taylor & Francis
Many aerodynamic shape optimization methods often focus on utilizing the end-to-end
relationship between design variables and aerodynamic performance to find the optimal …

Deep learning for airfoil aerodynamic-electromagnetic coupling optimization with random forest

SY Jin, SS Chen, C Feng, ZH Gao - Physics of Fluids, 2024 - pubs.aip.org
Reducing the design variable space is crucial in multi-objective airfoil profile optimization to
improve optimization efficiency and reduce computational costs. Based on random forest …

Optimization random forest model for air entrainment hysteresis prediction in ventilated cavitation using genetic and particle swarm along with experimental …

HA Kamali, MR Erfanian - Physics of Fluids, 2024 - pubs.aip.org
One of the complex challenges in ventilated cavitating flow studies is analyzing hysteresis
behavior and the formation air entrainment coefficient (⁠ C qf⁠) under different conditions …

A Review of Intelligent Airfoil Aerodynamic Optimization Methods Based on Data-Driven Advanced Models

L Wang, H Zhang, C Wang, J Tao, X Lan, G Sun… - Mathematics, 2024 - mdpi.com
With the rapid development of artificial intelligence technology, data-driven advanced
models have provided new ideas and means for airfoil aerodynamic optimization. As the …

Cavitation intensity prediction and optimization for a Venturi cavitation reactor using deep learning

W You, T Liu, S Manickam, J Wang, W Wang, X Sun - Physics of Fluids, 2024 - pubs.aip.org
The Venturi reactor, widely used in process intensification through hydrodynamic cavitation
technology, has proven highly effective in various chemical and environmental applications …

Aeroacoustic investigation of multi-directional wings aligned in tandem under wing-in-ground effect

C Lai, Y Zhu, L Tan, Z Zhen, M Tsubokura - Physics of Fluids, 2024 - pubs.aip.org
The aero-train is an innovative, high-efficiency, and low-consumption vehicle that uses the
wing-in-ground effect. It utilizes orbital high voltage to obtain a high lift-to-drag ratio while …

Jet mixing optimization using a bio-inspired evolution of hardware and control

T Shaqarin, Z Jiang, T Wang, C Hou… - Scientific Reports, 2024 - nature.com
Jet mixing is a critical factor in various engineering applications, influencing pollutant
dispersion, chemical processes, medical treatments, and combustion enhancement …

Tidal turbine blade design optimization based on coupled deep learning and blade element momentum theory

C Li, B Liang, P Yuan, B Liu, M Zhao, Q Zhang… - Physics of …, 2024 - pubs.aip.org
The practical design optimization of blade structures is crucial for enhancing the power
capture capability of tidal turbines. However, the significant computational costs required for …