| Issue |
EPJ Web Conf.
Volume 358, 2026
EFM25 – Energy & Fluid Mechanics 2025
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202635801014 | |
| Published online | 12 March 2026 | |
https://doi.org/10.1051/epjconf/202635801014
Study of the mixing mechanism of two miscible liquids via visualization and microPIV methodology
Laboratory of physical measurement, Institute for Nanomaterials, Advanced Technology and Innovation, Bendlova 1409/7, Liberec, Czech Republic
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 March 2026
Abstract
Reducing the channel dimensions within microfluidic systems enhances mass transfer efficiency and enables precise regulation of concentration gradients. A fundamental function of microfluidic devices is the mixing of miscible liquids. One proposed mechanism for liquid mixing in such systems is diffusion, which is predicated on the assumption that, given the low Reynolds numbers and laminar flow conditions typical of microfluidic environments, turbulence does not facilitate mixing. Nonetheless, the mixing efficiency observed is often significant and can be further augmented through the implementation of optimized geometric configurations. The primary methodology employed to assess liquid mixing efficacy involves visualization techniques, such as the use of dyed solutions. However, the visualized outcomes do not directly correlate with theoretical calculations of mixing time based on diffusion processes. This study focuses on the confluence of liquids within a Y-branch microchannel. Utilizing visualization methodologies and the micro–Particle Image Velocimetry (micro-PIV) technique, we aim to elucidate the parameters that influence and optimize effective mixing within this geometric configuration.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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