In the past few decades various particle image–based volumetric flow measurement
techniques have been developed that have demonstrated their potential in accessing …

Time-resolved particle image velocimetry (TR-PIV) has become widespread in fluid
dynamics. Essentially a velocity field movie, the dynamic content provides temporal as well …

The method of iterative particle reconstruction (IPR), introduced by Wieneke (Meas Sci
Technol 24: 024008, 2013), constitutes a major step toward Lagrangian particle tracking in …

In recent years, several techniques have been introduced that are capable of extracting 3D
three-component velocity fields in fluid flows. Fast-paced developments in both hardware …

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 developed an open-source Lagrangian particle tracking (OpenLPT) based on the Shake-
the-Box (Schanz, Gesemann, and Schröder, Exp. Fluids 57.5, 2016) method. The source …

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 …

Accurate prediction of fluid-structure interactions during water entry is of fundamental
importance for the design of planing vessels. However, our understanding of the physics of …

Particle velocimetry is a non-intrusive optical measurement method whereby global velocity
fields can be obtained in either two-or three-dimensions through time by inferring fluid …

In this study, we quantify the accuracy of a simple pressure estimation method from 2D
snapshot PIV in attached and separated flows. Particle image velocimetry (PIV) offers the …