Logo

Model for the prediction of separation profile of oil-in-water emulsion

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.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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.

Item Type:Article
Impact Factor:cited By 0
Uncontrolled Keywords:Emulsification; Forecasting; Kerosene; Models; Separation, Distilled water; Gravity separation; Liquid separation; Oil-in-water emulsions; Separation mechanism, Emulsions
Departments / MOR / COE:Research Institutes > Institute for Contaminant Management
ID Code:20578
Deposited By: Ahmad Suhairi
Deposited On:23 Jul 2018 05:11
Last Modified:11 Oct 2018 02:34

Repository Staff Only: item control page