We describe a new particle tracking algorithm for the interrogation of double frame single exposure data, which is obtained with particle image velocimetry. The new procedure is based on an algorithm which has recently been proposed by Gold et al. (Gold et al., 1998) for solving point matching problems in statistical pattern recognition. For a given interrogation window, the algorithm simultane...

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...

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....

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...

During the past five years, significant progress has been made in the development and application of micron-resolution Particle Image Velocimetry (μPIV). Developments of the technique have extended typical spatial resolutions of PIV from order 1-mm to order 1-μm. These advancements have been obtained as a result of novel improvements in instrument hardware and post processing software. Theory d...

Particle Image Velocimetry (PIV) is a popular approach to flow visualisation and measurement in hydroand aerodynamic studies and applications [7]. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. Recently, we have successfully applied to PIV ...

Digital image processing is a technologically limited subject, and has seen tremendous growth over the last ten years with the exponential increase in computing power commonly available. This trend can be seen in Particle Image Velocimetry (PIV) as the migration from traditional wet film cameras to fully digital systems. The use of digital cameras in PJV measurements has been common place for a...

In the first part of this talk some of the milestones in the development of PIV will be described. In the second part the current status of PIV will be summarized and some goals for the future will be addressed. 1. Historical Development The year 2004 marks the 20th anniversary since the term “particle image velocimetry ‘ first appeared in the literature. This article will give a highly persona...

Microfluidic devices are becoming increasingly common and are seen in applications ranging from biology to nanotechnology and manufacturing. Flow behavior in these small domains can often be counterintuitive because of the low Reynolds number or the relative importance of surface forces. Microparticle image velocimetry (μPIV) is a quantitative method that can be used to characterize the perform...