Peak-locking reduction for particle image velocimetry

Holography and particle image velocimetry

The contribution of holographic techniques to particle velocity measurements is discussed. Two-dimensional holographic particle image velocimetry and three-dimensional holographic velocimetry are described and compared. Their advantages and limits are discussed and the latest progress in this domain is presented, together with perspectives for the near future.

Advanced Algorithms for Microscale Particle Image Velocimetry

The recent explosive increase in the use of  uidic microelectromechanical systems (MEMS) has subsequently driven the development of  uidic measurement techniques capable of measuring velocities at length scales small enough to be of use in characterizing and optimizing these new devices. Recently, several techniques have demonstrated spatial resolutions smaller than 1001mbut larger than 101m....

On errors of digital particle image velocimetry

The goal of the present study is to quantify and reduce, when possible, errors in two-dimensional digital particle image velocimetry (DPIV). Two major errors, namely the mean bias and root-mean-square (RMS) errors, have been studied. One fundamental source of these errors arises from the implementation of cross correlation (CC). Other major sources of these errors arise from the peak-finding sc...

Accelerating Particle Image Velocimetry Using Hybrid Architectures

High Performance Computing (HPC) applications are mapped to a cluster of multi-core processors communicating using high speed interconnects. More computational power is harnessed with the addition of hardware accelerators such as Graphics Processing Unit (GPU) cards and Field Programmable Gate Arrays (FPGAs). Particle Image Velocimetry (PIV) is an embarrassingly parallel application that can be...

Particle Image Velocimetry by Feature Tracking