[HTML][HTML] 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 …
field measurements in fluid flows. The technique yields quantitative visualizations of the …
Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network
The velocities measured by particle image velocimetry (PIV) and particle tracking
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …
Comparative assessment for pressure field reconstruction based on physics-informed neural network
In this paper, a physics-informed neural network (PINN) is used to determine pressure fields
from the experimentally measured velocity data. As a novel method of data assimilation …
from the experimentally measured velocity data. As a novel method of data assimilation …
A meshless method to compute pressure fields from image velocimetry
P Sperotto, S Pieraccini… - Measurement Science and …, 2022 - iopscience.iop.org
We propose a meshless method to compute pressure fields from image velocimetry data,
regardless of whether this is available on a regular grid as in cross-correlation based …
regardless of whether this is available on a regular grid as in cross-correlation based …
[PDF][PDF] Reconstructing the pressure field around swimming fish using a physics-informed neural network
Fish detect predators, flow conditions, environments and each other through pressure
signals. Lateral line ablation is often performed to understand the role of pressure sensing …
signals. Lateral line ablation is often performed to understand the role of pressure sensing …
Flow enhancement of tomographic particle image velocimetry measurements using sequential data assimilation
Sequential data assimilation (DA) was performed on three-dimensional flow fields of a
circular jet measured by tomography particle image velocimetry (tomo-PIV). The work …
circular jet measured by tomography particle image velocimetry (tomo-PIV). The work …
Error propagation from the PIV-based pressure gradient to the integrated pressure by the omnidirectional integration method
This paper reports a theoretical analysis and the corresponding numerical and experimental
validation results of the error propagation characteristics of the omnidirectional integration …
validation results of the error propagation characteristics of the omnidirectional integration …
Optimization of planar PIV-based pressure estimates in laminar and turbulent wakes
J McClure, S Yarusevych - Experiments in Fluids, 2017 - Springer
The performance of four pressure estimation techniques using Eulerian material
acceleration estimates from planar, two-component Particle Image Velocimetry (PIV) data …
acceleration estimates from planar, two-component Particle Image Velocimetry (PIV) data …
Error reduction for time-resolved PIV data based on Navier–Stokes equations
The post-processing of the measured velocity in particle image velocimetry (PIV) is a critical
step in reducing error and predicting missing information of the flow field. In this work, time …
step in reducing error and predicting missing information of the flow field. In this work, time …
Temporal model of fluid-feeding mechanisms in a long proboscid orchid bee compared to the short proboscid honey bee
Bees (Apidae) are flower-visiting insects that possess highly efficient mouthparts for the
ingestion of nectar and other sucrose fluids. Their mouthparts are composed of mandibles …
ingestion of nectar and other sucrose fluids. Their mouthparts are composed of mandibles …