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Majid Mohadesi

Majid Mohadesi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Faculty of Engineering
Address: Department of Chemical Engineering, Faculty of Engeenring, Kermanshah University of Technology (KUT), Imam Khomeini Highway, Kermanshah, Iran
Phone: 083-38305000 (1167, 1025)

Research

Title
Liquid-liquid equilibrium of a ternary system of water+ ethanol+ benzene or furfural in a micro-extractor: experimental investigation and thermodynamic modeling
Type
JournalPaper
Keywords
Micro-extractor, liquid-liquid equilibrium, thermodynamic modeling, NRTL, UNIQUAC
Year
2020
Journal SEPARATION SCIENCE AND TECHNOLOGY
DOI
Researchers Babak Aghel ، Majid Mohadesi ، Ashkan Gouran

Abstract

This study investigated liquid-liquid equilibrium of a ternary system of water+ ethanol+ benzene/furfural in a micro-scale reactor. Experiments were performed inside a T-shaped micro-mixer and then inside a microtube with a diameter of 0.8 mm at a residence time of 30 s. The variables of temperature (298.15 K and 313.15 K) and solvent (benzene/furfural) to feed (70 wt. % of water + 30 wt. % of ethanol) ratio were investigated between a range of 0.33 ml/ml to 3.00ml/ml. Based on the results, the optimal conditions for obtaining a suitable distribution coefficient and selectivity were achieved when using benzene as solvent at a temperature of 298.15 K with a benzene/feed ratio of 1.00 ml/ml. The experiments were carried out within different residence times (from 15 to 90 s) and using different types of micromixer (T-shaped and Y-shaped). The maximum distribution coefficient and selectivity were obtained using the T-shaped micro-mixer at a residence time of 60 s and also using the Y-shaped micro-mixer at a residence time of 75 s. Therefore, the performance of the T-shaped micro-mixer was better than Y-shaped micro-mixer. Finally, the data obtained from the liquid-liquid equilibrium system of water+ ethanol+ benzene/furfural were studied using NRTL and UNIQUAC models. The results showed the high accuracy of both models; the obtained RSMD of the NRTL and UNIQUAC models were 0.0067 and 0.0124, respectively.