Signal analysis approach in two phase flow patterns detection through millichannels

Abstract In this paper, efforts have been made to identify the flow regimes and their transitions using pressure signals and optical probe signals in millichannels of diameter 4.2 mm. Observations are first made through high-speed videography, and then voltage signals from the optical probe and pressure transmitter are used to identify the different flow regimes. A statistical approach, the probability density function (PDF), has been used to analyze the signal data and draw conclusions about the flow regimes. Results show both methods are very effective in detecting flow regimes in non-transparent pipes. Both the pressure and optical probe methods show high potential for flow pattern recognition.

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Publication Details

Journal
International Journal of Chemical Reactor Engineering
Published
2025-09-19
DOI
https://doi.org/10.1515/ijcre-2025-0052
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
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article

Signal analysis approach in two phase flow patterns detection through millichannels

Amit K. Thakur, Amit Kumar
International Journal of Chemical Reactor Engineering
Fluid Dynamics and Mixing
article

Signal analysis approach in two phase flow patterns detection through millichannels

Amit K. Thakur, Amit Kumar
article en

Abstract

Abstract In this paper, efforts have been made to identify the flow regimes and their transitions using pressure signals and optical probe signals in millichannels of diameter 4.2 mm. Observations are first made through high-speed videography, and then voltage signals from the optical probe and pressure transmitter are used to identify the different flow regimes. A statistical approach, the probability density function (PDF), has been used to analyze the signal data and draw conclusions about the flow regimes. Results show both methods are very effective in detecting flow regimes in non-transparent pipes. Both the pressure and optical probe methods show high potential for flow pattern recognition.

International Journal of Chemical Reactor EngineeringVol. 23(10)
Nirma University (IN), University of Petroleum and Energy Studies (IN)
Openalex Percentile: Top 75%
Fluid Dynamics and Mixing
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