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Détail de l'auteur
Auteur Zahra Jeirani
Documents disponibles écrits par cet auteur
Affiner la recherchePrediction of water percolation threshold of a microemulsion uising electrical conductivity measurements and design of experiments / Zahra Jeirani in Industrial & engineering chemistry research, Vol. 51 N° 30 (Août 2012)
[article]
in Industrial & engineering chemistry research > Vol. 51 N° 30 (Août 2012) . - pp. 10147-10155
Titre : Prediction of water percolation threshold of a microemulsion uising electrical conductivity measurements and design of experiments Type de document : texte imprimé Auteurs : Zahra Jeirani, Auteur ; Badrul Mohamed Jan, Auteur ; Brahim Si Ali, Auteur Année de publication : 2012 Article en page(s) : pp. 10147-10155 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Experimental design Electrical conductivity Microemulsion Prédiction Résumé : This paper presents the estimation of water percolation threshold (φc) of a nonionic microemulsion by studying its conductivity (σ) as a function of water volume fraction (φ). The initial solution of alkyl polyglycosides/glyceryl monooleate/ n-octane/isopropyl alcohol with weight ratios of 3/3/2/2 was diluted by brine (1 wt % sodium chroride), and the electrical conductance was measured along the specific dilution line. One factor design (OFD), which is an approach embedded in Design of Experiments (DOE), was used to model the variation of d(logσ)/dφ with φ. A quadratic equation with natural logarithm transformation was then fitted and validated. The model was optimized to predict φc, the water volume fraction at which d(logσ)/dφ is a maximum. The predicted value of φc from the optimization of the model is 0.1245. In addition, fitting to the scaling law was conducted, and the value of φc from this theoretical model was 0.1212. Apparently, these values are in excellent agreement It is concluded that DOE can be used to estimate the value of φc for a microemulsion relatively precisely with less computation and restriction compared to the conventional fitting approach. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26201430 [article] Prediction of water percolation threshold of a microemulsion uising electrical conductivity measurements and design of experiments [texte imprimé] / Zahra Jeirani, Auteur ; Badrul Mohamed Jan, Auteur ; Brahim Si Ali, Auteur . - 2012 . - pp. 10147-10155.
Industrial chemistry
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 51 N° 30 (Août 2012) . - pp. 10147-10155
Mots-clés : Experimental design Electrical conductivity Microemulsion Prédiction Résumé : This paper presents the estimation of water percolation threshold (φc) of a nonionic microemulsion by studying its conductivity (σ) as a function of water volume fraction (φ). The initial solution of alkyl polyglycosides/glyceryl monooleate/ n-octane/isopropyl alcohol with weight ratios of 3/3/2/2 was diluted by brine (1 wt % sodium chroride), and the electrical conductance was measured along the specific dilution line. One factor design (OFD), which is an approach embedded in Design of Experiments (DOE), was used to model the variation of d(logσ)/dφ with φ. A quadratic equation with natural logarithm transformation was then fitted and validated. The model was optimized to predict φc, the water volume fraction at which d(logσ)/dφ is a maximum. The predicted value of φc from the optimization of the model is 0.1245. In addition, fitting to the scaling law was conducted, and the value of φc from this theoretical model was 0.1212. Apparently, these values are in excellent agreement It is concluded that DOE can be used to estimate the value of φc for a microemulsion relatively precisely with less computation and restriction compared to the conventional fitting approach. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26201430