3D Lagrangian particle tracking in fluid mechanics

A Schröder, D Schanz - Annual Review of Fluid Mechanics, 2023 - annualreviews.org
In the past few decades various particle image–based volumetric flow measurement
techniques have been developed that have demonstrated their potential in accessing …

The transformative potential of machine learning for experiments in fluid mechanics

R Vinuesa, SL Brunton, BJ McKeon - Nature Reviews Physics, 2023 - nature.com
The field of machine learning (ML) has rapidly advanced the state of the art in many fields of
science and engineering, including experimental fluid dynamics, which is one of the original …

Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network

H Wang, Y Liu, S Wang - Physics of fluids, 2022 - pubs.aip.org
The velocities measured by particle image velocimetry (PIV) and particle tracking
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …

Volumetric emission tomography for combustion processes

SJ Grauer, K Mohri, T Yu, H Liu, W Cai - Progress in Energy and …, 2023 - Elsevier
This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …

Shake-The-Box: Lagrangian particle tracking at high particle image densities

D Schanz, S Gesemann, A Schröder - Experiments in fluids, 2016 - Springer
A Lagrangian tracking method is introduced, which uses a prediction of the particle
distribution for the subsequent time-step as a mean to seize the temporal domain. Errors …

Ultrasonic Doppler technique for application to multiphase flows: A review

C Tan, Y Murai, W Liu, Y Tasaka, F Dong… - International Journal of …, 2021 - Elsevier
Instantaneous velocity of multiphase flow is an important parameter in scientific and
industrial applications such as fluid mechanics modeling and flow measurement and …

Machine learning strategies for systems with invariance properties

J Ling, R Jones, J Templeton - Journal of Computational Physics, 2016 - Elsevier
In many scientific fields, empirical models are employed to facilitate computational
simulations of engineering systems. For example, in fluid mechanics, empirical Reynolds …

Uncertainty quantification in particle image velocimetry

A Sciacchitano - Measurement Science and Technology, 2019 - iopscience.iop.org
Particle image velocimetry (PIV) has become the chief experimental technique for velocity
field measurements in fluid flows. The technique yields quantitative visualizations of the …

Digital volume correlation: review of progress and challenges

A Buljac, C Jailin, A Mendoza, J Neggers… - Experimental …, 2018 - Springer
Abstract 3D imaging has become popular for analyzing material microstructures. When time
lapse series of 3D pictures are acquired during a single experiment, it is possible to …

Tomographic absorption spectroscopy for the study of gas dynamics and reactive flows

W Cai, CF Kaminski - Progress in energy and combustion science, 2017 - Elsevier
Optical imaging techniques are ubiquitous for the resolution of non-uniformities in gas flows.
Planar imaging techniques such as laser-induced fluorescence are well established and …