The Importance of Correlation Curvature in Microscopic Particle Image Velocimetry
Abstract
The growing use of microscopic particle image velocimetry as an analysis tool has led researchers to develop analytical models describing how the measurement volume, or depth of correlation, is affected by various parameters and phenomena. However, one difficulty arising from the derivation of these models has been the development of experimental and compuational methodologies for verifying their validity. The objective of the work presented here is to introduce the proper methodology for such a validation by demonstrating the importance of correlation curavture in the interpretation of microPIV data. This analysis also leads to an alternative derivation for the depth of correlation that, while resulting in the identical results to the one previously derived for Gaussian particle images, is more useful in that it can be used to demonstrate the accuracy of definitions of depth of correlation based on more rigorous particle intensity functions. The applicability of the methodology is demonstrated through a computational validation of previously derived models of microPIV interrogation.
- Publication:
-
APS Division of Fluid Dynamics Meeting Abstracts
- Pub Date:
- November 2003
- Bibcode:
- 2003APS..DFD.AD010O