Results 181 to 190 of about 18,957 (215)

Particle Tracking Velocimetry Using Cellular Neural Network

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
Recent advances in digital image processing techniques, electronic and optical hardware have facilitated the investigation of fluid mechanics among the others. Flow visualization is the indispensable tool in the investigation of complex flow structures.
Kazuo Ohmi, Achyut Sapkota
openaire   +1 more source

Particle tracking velocimetry: an automatic image processing algorithm

Applied Optics, 1989
A quantitative full-field velocity measurement technique involving imaging of displaced particles in a fluid is described. In this paper a fully automatic image processing procedure is developed to extract velocity vectors from flow visualization images.
B, Khalighi, Y H, Lee
openaire   +2 more sources

Particle Tracking Velocimetry (PTV)

1996
Particle Tracking Velocimetry (PTV) is one of the oldest measuring techniques in fluid mechanics. It is often called low particle number density Particle Image Velocimetry (PIV) (Adrian, 1991). The two methods have indeed in common that they determine the velocity from the displacement of particles in a moving fluid during a prescribed time interval ...
openaire   +1 more source

New tracking algorithm for particle image velocimetry

Experiments in Fluids, 1995
The cross correlation tracking technique is widely used to analyze image data, in Particle Image Velocimetry (PIV). The technique assumes that the fluid motion, within small regions of the flow field, is parallel over short time intervals. However, actual flow fields may have some distorted motion, such as rotation, shear and expansion.
K. Okamoto, Y. A. Hassan, W. D. Schmidl
openaire   +1 more source

On the calibration of astigmatism particle tracking velocimetry for microflows

Measurement Science and Technology, 2010
Astigmatism particle tracking velocimetry (APTV) is a method to determine three components (3C) of the velocity field in a volume (3D) using a single camera. The depth position of the particles is coded by optical distortions caused by a cylindrical lens in the optical setup.
Cierpka C., Rossi M., Segura R., Kahler C. J.   +3 more
openaire   +1 more source

Lagrangian sensors in a stirred tank reactor: Comparing trajectories from 4D-Particle Tracking Velocimetry and Lattice-Boltzmann simulations

Chemical Engineering Journal, 2022
Sebastian Hofmann, Christian Weiland, Jürgen Fitschen   +2 more
exaly  

Correlation based Particle Tracking Velocimetry

Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer, 2006
K. Hoyer, M. Holzner, W. Kinzelbach
openaire   +1 more source

Particle Tracking Velocimetry

2019
Dana Dabiri, Charles Pecora
openaire   +1 more source

Particle Tracking Velocimetry (PTV)

2017
Michael Schuth, Wassili Buerakov
openaire   +1 more source

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

Physics of Fluids, 2022
Hongping Wang, Shizhao Wang
exaly