Unknown

Dataset Information

0

Semi-Empirical Estimation of Dean Flow Velocity in Curved Microchannels.


ABSTRACT: Curved and spiral microfluidic channels are widely used in particle and cell sorting applications. However, the average Dean velocity of secondary vortices which is an important design parameter in these devices cannot be estimated precisely with the current knowledge in the field. In this paper, we used co-flows of dyed liquids in curved microchannels with different radii of curvatures and monitored the lateral displacement of fluids using optical microscopy. A quantitative Switching Index parameter was then introduced to calculate the average Dean velocity in these channels. Additionally, we developed a validated numerical model to expand our investigations to elucidating the effects of channel hydraulic diameter, width, and height as well as fluid kinematic viscosity on Dean velocity. Accordingly, a non-dimensional comprehensive correlation was developed based on our numerical model and validated against experimental results. The proposed correlation can be used extensively for the design of curved microchannels for manipulation of fluids, particles, and biological substances in spiral microfluidic devices.

SUBMITTER: Bayat P 

PROVIDER: S-EPMC5651805 | biostudies-other | 2017 Oct

REPOSITORIES: biostudies-other

altmetric image

Publications

Semi-Empirical Estimation of Dean Flow Velocity in Curved Microchannels.

Bayat Pouriya P   Rezai Pouya P  

Scientific reports 20171020 1


Curved and spiral microfluidic channels are widely used in particle and cell sorting applications. However, the average Dean velocity of secondary vortices which is an important design parameter in these devices cannot be estimated precisely with the current knowledge in the field. In this paper, we used co-flows of dyed liquids in curved microchannels with different radii of curvatures and monitored the lateral displacement of fluids using optical microscopy. A quantitative Switching Index para  ...[more]

Similar Datasets

| S-EPMC7398472 | biostudies-literature
| S-EPMC7328375 | biostudies-literature
| S-EPMC7830345 | biostudies-literature
| S-EPMC3813940 | biostudies-literature
| S-EPMC5928254 | biostudies-literature
| S-EPMC7460915 | biostudies-literature
| S-EPMC8303296 | biostudies-literature
| S-EPMC4010388 | biostudies-other
| S-EPMC6907267 | biostudies-literature
| S-EPMC6330331 | biostudies-literature