Literature DB >> 32111020

Real-Time Detection of Slug Velocity in Microchannels.

Salvina Gagliano1, Giovanna Stella1, And Maide Bucolo1.   

Abstract

Microfluidics processes play a central role in the design of portable devices for biological and chemical samples analysis. The bottleneck in this technological evolution is the lack of low cost detection systems and control strategies easily adaptable in different operative conditions, able to guarantee the processes reproducibility and reliability, and suitable for on-chip applications. In this work, a methodology for velocity detection of two-phase flow is presented in microchannels. The approach presented is based on a low-cost optical signals monitoring setup. The slug flow generated by the interaction of two immiscible fluids {air and water} in two microchannels was investigated. To verify the reliability of the detection systems, the flow nonlinearity was enhanced by using curved geometries and microchannel diameter greater than 100 μ m . The optical signals were analyzed by using an approach in a time domain, to extract the slug velocity, and one in the frequency domain, to compute the slug frequency. It was possible to distinguish the water and air slugs velocity and frequency. A relation between these two parameters was also numerically established. The results obtained represent an important step in the design of non-invasive, low-cost portable systems for micro-flow analysis, in order to prove that the developed methodology was implemented to realize a platform, easy to be integrated in a System-on-a-Chip, for the real-time slug flow velocity detection. The platform performances were successfully validated in different operative conditions.

Entities:  

Keywords:  air–water flows; experimental study; optical signals monitoring; slug frequency; slug velocity

Year:  2020        PMID: 32111020     DOI: 10.3390/mi11030241

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   2.891


  2 in total

1.  Synchronization Theory-Based Analysis of Coupled Vibrations of Dual-Tube Coriolis Mass Flowmeters.

Authors:  Zhong-Xiang Li; Chun Hu; De-Zhi Zheng; Shang-Chun Fan
Journal:  Sensors (Basel)       Date:  2020-11-06       Impact factor: 3.576

2.  Dynamic Modeling and Experimental Validation of a Water Hydraulic Soft Manipulator Based on an Improved Newton-Euler Iterative Method.

Authors:  Yinglong Chen; Qiang Sun; Qiang Guo; Yongjun Gong
Journal:  Micromachines (Basel)       Date:  2022-01-14       Impact factor: 2.891

  2 in total

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