High-resolution microscale velocity field measurement using light field particle image-tracking velocimetry

Abstract

Light field microparticle image velocimetry (LF-μPIV) can realize the three-dimensional (3D) microscale velocity field measurement, but the spatial resolution of the velocity field is low. Therefore, this study proposes a high-resolution LF particle image-tracking velocimetry (PIV–PTV) in combination with a cross-validation matching (CVM) algorithm. The proposed method performs motion compensation for the distribution of particle center position based on the low-resolution velocity field achieved by PIV and then conducts the CVM on tracer particles with the nearest neighbor method. The motion compensation reduces the particle displacement during the matching, while the CVM reduces the impact of missing particles on the matching accuracy. Thus, the proposed method enables precise tracking of individual particles at higher particle concentrations and improves the spatial resolution of the velocity field. Numerical simulations were conducted on the 3D displacement field reconstruction. The influence of interrogation window size, particle diameter, and concentration was analyzed. Experiments were conducted on the microscale 3D velocity field within the microchannel with right-angle bends. Results indicate that the proposed method provides the high-resolution measurement of the microscale 3D velocity field and improves the precision of the velocity field compared to the PTV at higher particle concentrations. It demonstrates that the proposed method outperforms PIV by 26% in resolution and PTV by 76% in precision at a higher particle concentration of 1.5 particles per microlens.

Micro-Scale Particle Tracking: From Conventional to Data-Driven Methods

“…Later, Gu et al [65] considered the diffraction issue neglected by geometrical optics in microscopes and improved the reconstruction efficiency with a low-rank decompositionbased deconvolution (LRDD) method. They also proposed a cross-validation matching (CVM) algorithm [66] to improve the performance of LF-µPIV/PTV under high particle image density conditions.…”

Impact of tracer particles on the electrolytic growth of hydrogen bubbles

“…Our reasoning focuses on the so far ignored detail that specific tracer particles were intentionally added to the electrolyte in order to enable the simultaneous measurements of temperature and electrolyte velocity in the referenced experiments of Massing et al 5 Particle image velocimetry (PIV) and particle tracking velocimetry (PTV) methods are standard techniques frequently used in fluid mechanics to measure the velocity field in liquid or gas flows. [15][16][17] In addition, they are also applied to multiphase flows, sometimes even to accurately determine the shape and the position of interfaces. [18][19][20][21] A possible impact of the particles on the interface is typically not considered, supported by the argument that the particle concentration is low.…”