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Article
Prediction of Extraction Efficiency in Rdc Column Using Artificial Neural Network

Authors: Chalak S. Omar --- Adil. A. A. Al-Hemiri
Journal: Journal of Engineering مجلة الهندسة ISSN: 17264073 25203339 Year: 2008 Volume: 14 Issue: 2 Pages: 2607-2621
Publisher: Baghdad University جامعة بغداد

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Abstract

An application of neural network technique was introduced in modeling extraction efficiency in RDC column, based on a data bank of around 352 data points collected in the open literature. Three models were made, using back-propagation algorithm, the extraction efficiency was found to be a function of seven dimensionless groups: Weber number (we), ( ), ( ), ( ), ( ), ( ) and ( ). Statistical analysis showed that the proposed models have an average absolute error (AARE) and standard deviation (SD) of 12.23% and 10.61% for the first model, 5.35% and 6.21% for the second model, 8.34% and 7.59% for the third model. The developed correlations also show better prediction over a wide range of operating conditions, physical properties and column geometry.


Article
Extraction of Phenol from Aqueous Solutions Using Bulk ionic Liquid Membranes

Authors: Sawsan A.M. Mohammed --- Mohammed Saadi Hameed
Journal: Iraqi Journal of Chemical and Petroleum Engineering المجلة العراقية للهندسة الكيمياوية وهندسة النفط ISSN: 19974884/E26180707 Year: 2016 Volume: 17 Issue: 1 Pages: 83-97
Publisher: Baghdad University جامعة بغداد

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Abstract

Room temperature ionic liquids show potential as an alternative to conventional organic membrane solvents mainly due to their properties of low vapour pressure, low volatility and they are often stable. In the present work, the technical feasibilities of room temperature ionic liquids as bulk liquid membranes for phenol removal were investigated experimentally. In this research several hydrophobic ionic liquids were synthesized at laboratory. These ionic liquids include (1-butyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide[Bmim][NTf2], 1-Hexyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide[Hmim][NTf2], 1-octyl-3-methylimidazolium bis (trifluoromethylsulfonyl)imide[Omim][NTf2],1‐butyl‐1‐methylimidazoliumhexafluorophosphate[Bmim][PF6], 1‐hexyl‐1‐methylimidazoliumhexafluorophosphate[Hmim][PF6], 1-butyl-1-methylpyrrolidinium bis (trifluoromethylsulfonyl) imide[Bmpyr][NTf2], and 1-octyl-3-methyl imidazolium tetra fluoroborate[Omim][BF4]. The distribution coefficients for phenol in these ionic liquids were measured at different pH values and found to be much larger than those in conventional solvents. Through the values of the distribution coefficients and the experiments that were conducted on bulk liquid membrane applying various types of prepared ionic liquids, 1-butyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide was selected as the best ionic liquid which gave the highest extraction and stripping efficiencies. The effect of several parameters, namely, feed phase pH(2-12), feed concentration(100-1000 ppm), NaOH concentration(0-0.5M), temperature (20-50oC), feed to membrane volume ratio (200-400ml/80ml ionic liquid) and stirring speeds(75-125 rpm) on the performance of the choosen ionic liquid membrane were also studied. The preliminary study showed that high phenol extraction and stripping efficiencies of 97% and 95% respectively were achieved by ionic liquid membrane with a minimum membrane loss which offers a better choice to organic membrane solvents.

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