Recent advances in digital particle image velocimetry methods for flow motion analysis

Recent advances in digital particle image velocimetry methods for flow motion analysis

The advent of charge-coupled devices (CCD) has significantly extended the horizons of full-field measurement methods in many fields of fundamental and applied sciences, including fluid flow dynamics. One of the major applications of imaging sensors in fluid mechanics is the Digital Particle Image Velocimetry (DPIV), which is a non-invasive, full field optical measuring technique. Due to recent ...

Recent Advances in Micro-Particle Image Velocimetry

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...

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...

Multiple CCD Array Digital Particle Image Velocimetry

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...

Digital Particle Image Velocimetry: a challenge for feature based tracking