eprintid: 10587
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/05/87
datestamp: 2023-11-09 16:37:12
lastmod: 2023-11-09 16:37:12
status_changed: 2023-11-09 16:31:45
type: article
metadata_visibility: show
creators_name: Aleem, W.
creators_name: Mellon, N.
title: Model for the prediction of separation profile of oil-in-water emulsion
ispublished: pub
keywords: Emulsification; Forecasting; Kerosene; Models; Separation, Distilled water; Gravity separation; Liquid separation; Oil-in-water emulsions; Separation mechanism, Emulsions
note: cited By 12
abstract: This paper proposed a model that explains the separation mechanism of oil-in-water emulsion taking into account both creaming and coalescence processes. Oil-in-water emulsion separation experiments were performed in a batch separator using kerosene and distilled water. The predictions of the proposed model agreed well with the experimental results as well as previously published experimental data. The comparison between the proposed model and the previously published model showed that the proposed model has higher accuracy in predicting the separation profile of oil-in-water emulsion, with an accuracy of within 10. Thus the proposed model gives better representation of the oil-in-water emulsion separation process. © 2017 Taylor & Francis.
date: 2018
publisher: Taylor and Francis Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016117254&doi=10.1080%2f01932691.2017.1288132&partnerID=40&md5=cceab7d6087c12977175b1a85727e6a3
id_number: 10.1080/01932691.2017.1288132
full_text_status: none
publication: Journal of Dispersion Science and Technology
volume: 39
number: 1
pagerange: 8-17
refereed: TRUE
issn: 01932691
citation:   Aleem, W. and Mellon, N.  (2018) Model for the prediction of separation profile of oil-in-water emulsion.  Journal of Dispersion Science and Technology, 39 (1).  pp. 8-17.  ISSN 01932691