Quantitative $\mu$PIV Measurements of Velocity Profiles

TL;DR

This paper presents a simple, measurement-based method for accurately determining velocity profiles and uncertainties in microchannel flow using $$PIV, improving quantitative analysis and addressing common measurement challenges.

Contribution

The authors introduce a straightforward, measurement-driven technique to determine the sampling volume in $$PIV, enabling reliable quantitative velocity profiles and flow rate measurements.

Findings

Method accurately measures velocity profiles across channels.

Technique is robust against experimental uncertainties.

Application reveals limitations of Scanning $$PIV in locating channel center.

Abstract

In Microscopic Particle Image Velocimetry ($\mu$PIV), velocity fields in microchannels are sampled over finite volumes within which the velocity fields themselves may vary significantly. In the past, this has limited measurements often to be only qualitative in nature, blind to velocity magnitudes. In the pursuit of quantitatively useful results, one has treated the effects of the finite volume as errors that must be corrected by means of ever more complicated processing techniques. Resulting measurements have limited robustness and require convoluted efforts to understand measurement uncertainties. To increase the simplicity and utility of $\mu$PIV measurements, we introduce a straightforward method, based directly on measurement, by which one can determine the size and shape of the volume over which moving fluids are sampled. By comparing measurements with simulation, we verify that this method enables quantitative measurement of velocity profiles across entire channels, as well as an understanding of experimental uncertainties. We show how the method permits measurement of an unknown flow rate through a channel of known geometry. We demonstrate the method to be robust against common sources of experimental uncertainty. We also apply the theory to model the technique of Scanning $\mu$PIV, which is often used to locate the center of a channel, and we show how and why it can in fact misidentify the center. The results have general implications for research and development that requires reliable, quantitative measurement of fluid flow on the micrometer scale and below.