Reconstruction of the 3D pressure field and energy dissipation of a Taylor droplet from a μPIV measurement

In this study, we reconstruct the 3D pressure field and derive the 3D contributions of the energy dissipation from a 3D3C velocity field measurement of Taylor droplets moving in a horizontal microchannel (Ca-c = 0.0050, Re-c = 0.0519, Bo = 0.0043, lambda = eta(d)/eta(c) = 2.625). We divide the pressure field in a wall-proximate part and a core-flow to describe the phenomenology. At the wall, the pressure decreases expectedly in downstream direction. In contrast, we find a reversed pressure gradient in the core of the flow that drives the bypass flow of continuous phase through the corners (gutters) and causes the Taylor droplet's relative velocity between the faster droplet flow and the slower mean flow. Based on the pressure field, we quantify the driving pressure gradient of the bypass flow and verify a simple estimation method: the geometry of the gutter entrances delivers a Laplace pressure difference. As a direct measure for the viscous dissipation, we calculate the 3D distribution of work done on the flow elements, that is necessary to maintain the stationarity of the Taylor flow. The spatial integration of this distribution provides the overall dissipated energy and allows to identify and quantify different contributions from the individual fluid phases, from the wall-proximate layer and from the flow redirection due to presence of the droplet interface. For the first time, we provide deep insight into the 3D pressure field and the distribution of the energy dissipation in the Taylor flow based on experimentally acquired 3D3C velocity data. We provide the 3D pressure field of and the 3D distribution of work as supplementary material to enable a benchmark for CFD and numerical simulations. [GRAPHICS]

Automated summary

This study reconstructs the 3D pressure field and derives the 3D contributions of energy dissipation in Taylor flow based on experimentally acquired 3D3C velocity data. Through analyzing the pressure field, driving pressure gradients of bypass flow are quantified and a simple estimation method is verified. The 3D pressure field and distribution of work are provided as supplementary material for CFD and numerical simulations, enabling a benchmark for further studies.