Stereo-particle image velocimetry uncertainty quantification

Quantification of uncertainty in a stereoscopic particle image velocimetry measurement

In Stereoscopic Particle Image Velocimetry (Stereo-PIV), the three velocity components are obtained by illuminating a planar region in the fl ow fi eld and recording the region of interest using two cameras at an angle. Calibration, planar velocity estimation, and velocity reconstruction are the three essential steps involved in the process. Earlier efforts to quantify the accuracy in a Stereo-...

Particle Image Velocimetry Correlation Signal-to-noise Metrics, Particle Image Pattern Mutual Information and Measurement uncertainty Quantification

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.

Distributed Processing of High-speed Stereo Particle Image Velocimetry Data with a Low Power Beowulf Cluster

In this paper, we present our design of a portable cluster supercomputer created specifically for processing PIV image data. To make the system portable for a laboratory environment, the cluster computer is required to run on minimal power and be light weight. The final cluster design was based on the Intel R ©QuadCore Xeon R ©X3210 low-power processors. This hardware setup allows for a total s...

Effective visualization of stereo particle image velocimetry vector fields of a turbulent boundary layer

Stereo particle image velocimetry datasets contain three-dimensional information over a plane, from which multiple quantities can be derived at each point. The task of visualizing these different parameters simultaneously is challenging, and this inhibits our ability to analyse and derive firm conclusions about the physics of the flow. Currently, the common approach is to view each parameter se...