2D PIV/PTV
In the last couple of decades, the development of Digital Particle Image Velocimetry (DPIV) has allowed for spatial and temporal measurements by providing two-component velocities within a plane through time. Through these decades, the technique has evolved and advanced to include window-shifting methods, deformation methods, and particle tracking methods.
Our contributions to this field:
- A displacement-shifted vision-based hybrid particle tracking velocimetry (PTV) technique (2014)
- An extended study of a generalized digital particle image velocimetry (DPIV) processing technique Meas. Sci. Technol. 20, 075401
- On errors of digital particle image velocimetry(1997)
- The Effect of a Discrete Window Offset on the accuracy of Cross Correlation Analysis of Digital PIV Recordings (1997)
3D PIV/PTV
Most recently, new 3D velocimetry methods are being developed.
Our contributions to this field:
- Color-coded three-dimensional micro-particle tracking velocimetry and application to micro-backward-facing step flows (2014)
- A vision-based hybrid particle tracking velocimetry (PTV) technique using a modified cascade correlation peak-finding method (2012)
- An Improved Three-Dimensional Characterization of Defocusing Digital Particle Image Velocimetry (DDPIV) Based on a New Imaging Volume Definition (2008)
- A Color-Coded Backlighted Defocusing Particle Image Velocimetry System (2007)
- A Full Three-Dimensional Characterization of Defocusing Digital Particle Image Velocimetry (2005)
- Quantitative Flow Visualization: Toward A Comprehensive Flow Diagnostic Tool (2002)
- Quantitative Flow Visualization – Toward A Comprehensive Flow Diagnostic Tool (2002)
- Defocusing DPIV: A 3-Component 3-D DPIV Measurement Technique. Application to Bubbly Flows (2000)
Outlier Detection and Correction
While both 2D and 3D PIV/PTV methods have helped tremendously in quantifying global measurements of fluid flows, they do, nevertheless generate outliers, which need to be identified and corrected.
Our contributions to this field: