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A mechanistic model for the prediction of flow pattern transitions during separation of liquid-liquid pipe flows

Evripidou, Nikola; Avila, Carlos; Angeli, Panagiota; (2022) A mechanistic model for the prediction of flow pattern transitions during separation of liquid-liquid pipe flows. International Journal of Multiphase Flow , Article 104172. 10.1016/j.ijmultiphaseflow.2022.104172. (In press). Green open access

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Abstract

A one-dimensional mechanistic model that predicts the flow pattern transitions during the separation of dispersed liquid-liquid flows in horizontal pipes was developed. The model is able to capture the evolution along the pipe of the four characteristic layers that develop from initially dispersed flows of either oil-in-water or water-in-oil at a range of mixture velocities: a pure water layer at the bottom, a settling (flotation/sedimentation) layer, a dense-packed zone, and a pure oil layer on the top. Coalescence correlations from literature were included in the model to predict the drop growth due to binary drop coalescence and the coalescence rate of drops with their corresponding interface. The model predictions on the evolution of the heights of the different layers were partly compared against available experimental data obtained in a pilot scale two-phase flow facility using tap water and oil (828 kg m−3, 5.5 mPa s) as test fluids. It was shown that the evolution of the four characteristic layers depends on the rates of drop settling and drop-interface coalescence. Oil-in-water dispersions separated faster than water-in-oil ones, while dispersions with smaller drop-sizes were more likely to exhibit depletion of the dense-packed zone.

Type: Article
Title: A mechanistic model for the prediction of flow pattern transitions during separation of liquid-liquid pipe flows
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ijmultiphaseflow.2022.104172
Publisher version: https://doi.org/10.1016/j.ijmultiphaseflow.2022.10...
Language: English
Additional information: © 2022 The Authors. Published by Elsevier Ltd under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10151438
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