Super-resolution reconstruction of turbulent velocity fields using a generative adversarial network-based artificial intelligence framework
A general super-resolution reconstruction strategy was proposed for turbulent velocity fields
using a generative adversarial network-based artificial intelligence framework. Two …
using a generative adversarial network-based artificial intelligence framework. Two …
Flow visualization: state-of-the-art development of micro-particle image velocimetry
Experimental flow visualization is a valuable tool for analyzing microfluidics and nanofluidics
in a wide variety of applications. Since the late 1990s, considerable advances in optical …
in a wide variety of applications. Since the late 1990s, considerable advances in optical …
Effects of flow pattern on hydraulic performance and energy conversion characterisation in a centrifugal pump
X Li, B Chen, X Luo, Z Zhu - Renewable Energy, 2020 - Elsevier
An experimental investigation based on particle image velocimetry (PIV) technology was
used to measure the internal flow in a low-specific-speed centrifugal pump impeller. The …
used to measure the internal flow in a low-specific-speed centrifugal pump impeller. The …
Supervised learning method for the physical field reconstruction in a nanofluid heat transfer problem
T Liu, Y Li, Q Jing, Y Xie, D Zhang - International Journal of Heat and Mass …, 2021 - Elsevier
This paper presents a supervised learning method for the physical field reconstruction in a
specific heat transfer problem. The deep convolutional neural network (CNN) is applied to …
specific heat transfer problem. The deep convolutional neural network (CNN) is applied to …
Reconstruction of missing flow field from imperfect turbulent flows by machine learning
Obtaining reliable flow data is essential for the fluid mechanics analysis and control, and
various measurement techniques have been proposed to achieve this goal. However …
various measurement techniques have been proposed to achieve this goal. However …
Flow prediction using dynamic mode decomposition with time-delay embedding based on local measurement
Y Yuan, K Zhou, W Zhou, X Wen, Y Liu - Physics of Fluids, 2021 - pubs.aip.org
We develop a method for the prediction of flow fields based on local particle image
velocimetry (PIV) measurement. High spatial resolution can be achieved by focusing PIV on …
velocimetry (PIV) measurement. High spatial resolution can be achieved by focusing PIV on …
Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks
Data reconstruction of rotating turbulent snapshots is investigated utilizing data-driven tools.
This problem is crucial for numerous geophysical applications and fundamental aspects …
This problem is crucial for numerous geophysical applications and fundamental aspects …
A deep learning framework for reconstructing experimental missing flow field of hydrofoil
Hydrofoils play a crucial role in enhancing the efficiency of fluid machinery designed for
ocean environments, reducing lift-induced drag and contributing to improved overall …
ocean environments, reducing lift-induced drag and contributing to improved overall …
Machine learning for flow field measurements: a perspective
S Discetti, Y Liu - Measurement Science and Technology, 2022 - iopscience.iop.org
Advancements in machine-learning (ML) techniques are driving a paradigm shift in image
processing. Flow diagnostics with optical techniques is not an exception. Considering the …
processing. Flow diagnostics with optical techniques is not an exception. Considering the …
Flow field investigation for aerodynamic effects of surface mounted ribs on square-sectioned high-rise buildings
J Liu, Y Hui, Q Yang, Y Tamura - Journal of Wind Engineering and …, 2021 - Elsevier
The horizontal and vertical ribs provided at the facade of high-rise buildings have been
found effective in reducing local and overall wind loads. This paper experimentally studies …
found effective in reducing local and overall wind loads. This paper experimentally studies …