دورية أكاديمية

Designing an Efficient Surfactant–Polymer–Oil–Electrolyte System: A Multi-Objective Optimization Study

التفاصيل البيبلوغرافية
العنوان: Designing an Efficient Surfactant–Polymer–Oil–Electrolyte System: A Multi-Objective Optimization Study
المؤلفون: Nedjhioui, Mohammed, Nasrallah, Noureddine, Kebir, Mohammed, Tahraoui, Hichem, Bouallouche, Rachida, Assadi, Aymen Amin, Amrane, Abdeltif, Jaouadi, Bassem, Zhang, Jie, Mouni, Lotfi
المساهمون: Université Yahia Fares de Médéa, Université des Sciences et de la Technologie Houari Boumediene = University of Sciences and Technology Houari Boumediene Alger (USTHB), Centre de Recherche Scientifique et Technique en Analyses Physico-Chimiques (CRAPC), Université Ferhat-Abbas Sétif 1 Sétif (UFAS1), Institut des Sciences Chimiques de Rennes (ISCR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS), Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Université de Sfax, Université de Sfax - University of Sfax, Newcastle University Newcastle, Université Mohamed Akli Ouelhadj de Bouira (UMAOB), None
المصدر: ISSN: 2227-9717 ; Processes ; https://hal.science/hal-04164301Test ; Processes, 2023, 11 (5), pp.1314. ⟨10.3390/pr11051314⟩.
بيانات النشر: HAL CCSD
MDPI
سنة النشر: 2023
المجموعة: Université de Rennes 1: Publications scientifiques (HAL)
مصطلحات موضوعية: conductivity, full factorial design, interfacial tension, polymer, turbidity, viscosity, [CHIM]Chemical Sciences
الوصف: International audience ; This research aimed to study the effects of individual components on the physicochemical properties of systems composed of surfactants, polymers, oils, and electrolytes in order to maximize the recovery efficiency of kerosene while minimizing the impact on the environment and human health. Four independent factors, namely anionic surfactant sodium dodecylbenzene sulfonate (X1) (SDBS), oil (X2) (kerosene), water-soluble polymer poly(ethylene glycol) (X3) (PEG), and sodium chloride (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 taken as 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 determine the 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 result shows the efficiency of the model developed and the system used for the recovery of kerosene, while also having a positive effect on the protection of the environment. © 2023 by the authors.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: hal-04164301; https://hal.science/hal-04164301Test; https://hal.science/hal-04164301/documentTest; https://hal.science/hal-04164301/file/291C6DC2-9F97-4246-881B-5AAB35EE37BF.pdf%26pub_id%3D291499Test
DOI: 10.3390/pr11051314
الإتاحة: https://doi.org/10.3390/pr11051314Test
https://hal.science/hal-04164301Test
https://hal.science/hal-04164301/documentTest
https://hal.science/hal-04164301/file/291C6DC2-9F97-4246-881B-5AAB35EE37BF.pdf%26pub_id%3D291499Test
حقوق: http://creativecommons.org/licenses/byTest/ ; info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.68CD814A
قاعدة البيانات: BASE