A review of the application of non-intrusive infrared sensing for gas–liquid flow characterization

Journal article


Sarkodie, K, Fergusson-Rees, AJ and Diaz, P (2018). A review of the application of non-intrusive infrared sensing for gas–liquid flow characterization. The Journal of Computational Multiphase Flows. 10 (1), pp. 43-56. https://doi.org/10.1177/1757482X17748784
AuthorsSarkodie, K, Fergusson-Rees, AJ and Diaz, P
Abstract

This paper reviews the use of non-intrusive optical infrared sensing for gas–liquid flow characterisation in pipes. The application of signal analysis techniques to infrared-derived temporal signal outputs enables the objective determination of flow characteristics such as flow regimes, phase fractions and total pressure drops. Key considerations for improving the performance of infrared sensors are discussed. These include global and local measurements, ray divergence, effects of ambient light and temperature variations. Most experimental studies have reported consistent and excellent results for flow regime identifications and phase fraction estimation but with a few validating total pressures drop from correlations and direct pressure measurements. Other gaps in research were highlighted; these include the use of pipes sizes greater than 0.005m for experimentation under high superficial velocities conditions greater than 10 m/s. The capabilities of infrared sensing as a standalone measurement for flow metering were considered a possibility via an inferential approach for phase volumetric rates. More so, the derived infrared sensing flow characteristics could be combined with available pressure–volume–temperature correlations in estimating mass flow rates of each phase. As a future development, a conceptual modification to surface installations using a transparent opaque coupling is suggested to overcome the accessibility limitation of infrared light penetration for opaque pipes.

KeywordsOptical sensors, non-intrusive, infrared, phase fraction, flow regimes, pressure drop
Year2018
JournalThe Journal of Computational Multiphase Flows
Journal citation10 (1), pp. 43-56
PublisherSAGE Publications
Digital Object Identifier (DOI)https://doi.org/10.1177/1757482X17748784
Publication dates
Print02 Jan 2018
Publication process dates
Deposited23 May 2018
Accepted21 Nov 2017
Accepted author manuscript
License
File Access Level
Open
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https://openresearch.lsbu.ac.uk/item/86w47

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Jounal of CMF 2018, Vol. 10(1) 43-56, KS, AFR, PD.pdf
License: CC BY 4.0
File access level: Open

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