Machine Learning Approaches for Prediction of Phase Equilibria in Poly (Ethylene Glycol) + Sodium Phosphate Aqueous Two-Phase Systems

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 225

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شناسه ملی سند علمی:

JR_IJCCE-39-6_017

تاریخ نمایه سازی: 17 خرداد 1404

چکیده مقاله:

In this research, liquid-liquid equilibrium (LLE) data were experimentally obtained for the ternary systems of (water + carboxylic acid + dipropyl ether) at T = ۲۹۸.۲ K and P = ۱۰۱.۳ kPa. The carboxylic acids used in this study were isobutyric acid, valeric acid, and isovaleric acid. All these systems are according to Treybal classification, Type-۲ systems because the two binary subsystems are partially miscible. The lowest distribution coefficients and separation factors were calculated for isobutyric acid (۴۰ and ۳۲۹, respectively). The authenticity of the experimental equilibrium data was identified from Hand and Othmer-Tobias correlations.  The experimental tie-line data were correlated by using the nonrandom two-liquid (NRTL) and universal quasi-chemical (UNIQUAC) activity coefficient models. RMSD values are between ۰.۰۱۱۲ and ۰.۰۱۵۵ for the NRTL model, and are between ۰.۰۰۸۳ and ۰.۰۱۵۳ for UNIQUAC model.

نویسندگان

Mohsen Pirdashti

Chemical Engineering Department, Faculty of Engineering, Shomal University, PO Box ۷۳۱ Amol, I.R. IRAN

Mojtaba Taheri

Chemical Engineering Department, Faculty of Engineering, Shomal University, PO Box ۷۳۱ Amol, I.R. IRAN

Elena-Niculina Dragoi

Faculty of Chemical Engineering and Environmental Protection "Cristofor Simionescu", "Gh. Asachi" Technical University, Bld Mangeron ۷۳, ۷۰۰۰۵۰, Iasi, ROMANIA

Silvia Curteanu

Faculty of Chemical Engineering and Environmental Protection "Cristofor Simionescu", "Gh. Asachi" Technical University, Bld Mangeron ۷۳, ۷۰۰۰۵۰, Iasi, ROMANIA

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