Imperial College London

ProfessorChristosMarkides

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Clean Energy Technologies
 
 
 
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Contact

 

+44 (0)20 7594 1601c.markides Website

 
 
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Location

 

404ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{An:2016:10.1615/MultScienTechn.2016018538,
author = {An, JS and Morgan, RG and Hale, CP and Zadrazil, I and Hewitt, GF and Markides, CN},
doi = {10.1615/MultScienTechn.2016018538},
journal = {Multiphase Science and Technology},
pages = {71--98},
title = {A three-phase slug flow investigation by tomographic dual-beam X-ray imaging: Slug frequency measurement and lessons for correlation development and application},
url = {http://dx.doi.org/10.1615/MultScienTechn.2016018538},
volume = {28},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - © 2016 by Begell House, Inc. New measurement data on three-phase (air-oil-water) slug flows are reported in a long (37 m), largediameter (3 in nominal, 77.9 mm bore) pipe, generated by using a nonintrusive technique based on a dual-beam X-ray tomography system. Based on this measurement data, the frequency of hydrodynamic slugs is determined at a position 30.6 m (∼400 diameters) downstream of the inlet and over a range of inlet flow conditions with superficial velocities: 2-6 m/s (air), 0-0.5 m/s (oil), 0-0.5 m/s (water), from which slug frequency trends specific to this three-phase flow system are identified and reported in the literature for the first time. The slug frequency data are subsequently used to examine the feasibility and reliability of using slightly modified versions of many of the current two-phase gas-liquid slug frequency correlations in order to predict the measured three-phase slug frequencies observed in the experiments. It is found that, in general, these correlations provide poor slug frequency predictions in the investigated flows; nevertheless, the correlations that tend to perform best are those that include terms that attempt to account for variations in the fluid properties. The approach presented in this paper provides a method for reasonable three-phase slug frequency prediction as a first approximation, although the accuracy of this prediction can be improved if the apparent liquid-liquid mixture-viscosity can be determined more reliably in situ. The data made available in the present paper are to the best knowledge of the authors not presently available in the literature, and can be used to develop and validate advanced multiphase flow models, beyond acting as a benchmark database for correlation checks and improvement, as is done here.
AU - An,JS
AU - Morgan,RG
AU - Hale,CP
AU - Zadrazil,I
AU - Hewitt,GF
AU - Markides,CN
DO - 10.1615/MultScienTechn.2016018538
EP - 98
PY - 2016///
SN - 0276-1459
SP - 71
TI - A three-phase slug flow investigation by tomographic dual-beam X-ray imaging: Slug frequency measurement and lessons for correlation development and application
T2 - Multiphase Science and Technology
UR - http://dx.doi.org/10.1615/MultScienTechn.2016018538
VL - 28
ER -