Particle image velocimetry (PIV) has become the chief experimental technique for velocity
field measurements in fluid flows. The technique yields quantitative visualizations of the …

The velocities measured by particle image velocimetry (PIV) and particle tracking
velocimetry (PTV) commonly provide sparse information on flow motions. A dense velocity …

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 …

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 …

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 …

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 …

This paper reports a theoretical analysis and the corresponding numerical and experimental
validation results of the error propagation characteristics of the omnidirectional integration …

The performance of four pressure estimation techniques using Eulerian material
acceleration estimates from planar, two-component Particle Image Velocimetry (PIV) data …

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 …

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 …