A single-camera, 3D scanning velocimetry system for quantifying active particle aggregations

Abstract

A three-dimensional (3D) scanning velocimetry system is applied to quantify the 3D configurations of particles and their surrounding volumetric, three-component velocity fields. The approach uses a translating laser sheet to rapidly scan through a volume of interest and sequentially illuminate slices of the flow containing both tracers seeded in the fluid and particles comprising the aggregation of interest. These image slices are captured by a single high-speed camera, encoding information about the third spatial dimension within the image time-series. Where previous implementations of scanning systems have been developed for either volumetric flow quantification or 3D object reconstruction, we evaluate the feasibility of accomplishing these tasks concurrently with a single camera, which can streamline data collection and analysis. The capability of the system was characterized using a study of induced vertical migrations of millimeter-scale brine shrimp (Artemia salina). Identification and reconstruction of individual swimmer bodies and 3D trajectories within the migrating aggregation were achieved up to the maximum number density studied presently, 8×10⁵ animals per m³. This number density is comparable to the densities of previous depth-averaged 2D measurements of similar migrations. Corresponding velocity measurements of the flow indicate that the technique is capable of resolving the 3D velocity field in and around the swimming aggregation. At these animal number densities, instances of coherent flow induced by the migrations were observed. The local animal number density field was computed for select instances and correlated to the local vertical velocity. A trend of increased localized downward velocity was observed in each case as the localized animal number densities increased from 0−2×10⁶ animals per m³. The accuracy of these flow measurements was confirmed in separate studies of a free jet at Re_D = 50 and a numerical experiment using a DNS flow field. The former experimentally verified the ability of the technique to measure each velocity component, while the latter quantified the flow reconstruction errors due to the presence of suspended particles.

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