[HTML][HTML] 3D-measurement of particles and particulate assemblies-A review of the paradigm shift in describing anisotropic particles
X Jia, RA Williams - Powder Technology, 2024 - Elsevier
The goal of seeking advanced solutions to the descriptions of particle shape, packing and
tomographic measurement were key areas promoted by Professor Reg Davies. In this paper …
tomographic measurement were key areas promoted by Professor Reg Davies. In this paper …
Shape-supervised dimension reduction: Extracting geometry and physics associated features with geometric moments
In shape optimisation problems, subspaces generated with conventional dimension
reduction approaches often fail to extract the intrinsic geometric features of the shape that …
reduction approaches often fail to extract the intrinsic geometric features of the shape that …
A deep learning-based optimization framework of two-dimensional hydrofoils for tidal turbine rotor design
Abstract Convolutional Neural Network (CNN) is a commonly used deep learning algorithm
due to its excellent capability in identification of structural features and parameter predictions …
due to its excellent capability in identification of structural features and parameter predictions …
Multi-condition optimisation design of a hydrofoil based on deep belief network
G Zhu, J Feng, P Li, Z Wang, G Wu, X Luo - Ocean engineering, 2023 - Elsevier
A hydrofoil optimisation method based on the combination of deep belief network (DBN) and
non-dominated sorting genetic algorithm II (NSGA-II) is proposed in this paper. Firstly, the …
non-dominated sorting genetic algorithm II (NSGA-II) is proposed in this paper. Firstly, the …
[HTML][HTML] Advances in Flow Control Methods for Pump-Stall Suppression: Passive and Active Approaches
H Zhao, X Zhou, L Meng, X Zhu, C Mou, P Zhou - Energies, 2024 - mdpi.com
This article provides a comprehensive review of key approaches to suppressing stall flow in
pumps, offering insights to enhance pump performance and reliability. It begins by outlining …
pumps, offering insights to enhance pump performance and reliability. It begins by outlining …
A physics-informed parametrization and its impact on 2D IGABEM analysis
In this work, we study the effect of the geometry representation in the context of the
IsoGeometric-Analysis-based Boundary Element Method (IGABEM) and we propose an …
IsoGeometric-Analysis-based Boundary Element Method (IGABEM) and we propose an …
Machine-learning-enabled foil design assistant
KV Kostas, M Manousaridou - Journal of Marine Science and …, 2023 - mdpi.com
In this work, supervised Machine Learning (ML) techniques were employed to solve the
forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains …
forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains …
Shape-informed dimensional reduction in airfoil/hydrofoil modeling
Parametric models have been widely used in pertinent literature for reconstructing,
modifying and representing a wide range of airfoil and/or hydrofoil profile geometries …
modifying and representing a wide range of airfoil and/or hydrofoil profile geometries …
Optimal design of an autonomous underwater helicopter's shape based on combinatorial optimization strategy
Q Wen, R Feng, X An, Y Chen, H Huang - Ocean Engineering, 2022 - Elsevier
In this study, the shape of the autonomous underwater helicopter (AUH) was optimized. AUH
is a new type of disc autonomous underwater vehicle with good maneuverability and …
is a new type of disc autonomous underwater vehicle with good maneuverability and …
An Isogeometric Boundary Element Method for 3D lifting flows using T-splines
In this paper an Isogeometric Boundary Element Method for three-dimensional lifting flows
based on Morino's (Morino and Kuo, 1974) formulation is presented. Analysis-suitable T …
based on Morino's (Morino and Kuo, 1974) formulation is presented. Analysis-suitable T …