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Lookup NU author(s): Dr Jie ZhangORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
This research aimed to study the effects of individual components on the physicochemicalproperties of systems composed of surfactants, polymers, oils, and electrolytes in order to maximizethe recovery efficiency of kerosene while minimizing the impact on the environment and humanhealth. Four independent factors, namely anionic surfactant sodium dodecylbenzene sulfonate (X1)(SDBS), oil (X2) (kerosene), water-soluble polymer poly(ethylene glycol) (X3) (PEG), and sodiumchloride (X4) (NaCl), were studied using the full factorial design (FFD) model. Four output variables,namely conductivity (Y1), turbidity (Y2), viscosity (Y3), and interfacial tension (IFT) (Y4), were takenas the response variables. All four FFD models have high coefficients of determination and low errors.The developed models were used in a multi-objective optimization (MOO) framework to determinethe optimal conditions. The obtained optimal conditions are X1 = 0.01, X2 = 50, X3 = 5, and X4 = 0.1,with an error of 0.9414 between the predicted and experimental objective function values. This resultshows the efficiency of the model developed and the system used for the recovery of kerosene, whilealso having a positive effect on the protection of the environment.
Author(s): Nedjhioui M, Nasrallah N, Kebir M, Tahraoui H, Bouallouche R, Assadi AA, Amrane A, Jaouadi B, Zhang J, Mouni L
Publication type: Article
Publication status: Published
Journal: Processes
Year: 2023
Volume: 11
Issue: 5
Print publication date: 01/05/2023
Online publication date: 24/04/2023
Acceptance date: 20/04/2023
Date deposited: 04/07/2023
ISSN (electronic): 2227-9717
Publisher: MDPI
URL: https://doi.org/10.3390/pr11051314
DOI: 10.3390/pr11051314
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