Prediction of density of binary mixtures of ionic liquids with alcohols (methanol/ethanol/1-propanol) using artificial neural network

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

ASEAN Journal of Chemical Engineering

Volume

15

Issue

2

First Page

33

Last Page

50

Publication Date

1-1-2015

Abstract

Ionic liquids demonstrated successful potential applications in the industry most specifically as the new generation of solvents for catalysis and synthesis in chemical processes, thus knowledge of their physico-chemical properties is of great advantage. The present work presents a mathematical correlation that predicts density of binary mixtures of ionic liquids with various alcohols (ethanol/methanol/1-propanol). The artificial neural network algorithm was used to predict these properties based on the variations in temperature, mole fraction, number of carbon atoms in the cation, number of atoms in the anion, number of hydrogen atoms in the anion and number of carbon atoms in the alcohol. The data used for the calculations were taken from ILThermo Database. Total experimental data points of 1946 for the considered binaries were used to train the algorithm and to test the network obtained. The best neural network architecture determined was found to be 6-6-10-1 with a mean absolute error of 48.74 kg/m3. The resulting correlation satisfactorily represents the considered binary systems and can be used accurately for solvent related calculations requiring properties of these systems.© 2015, Gadjah Mada University. All rights reserved.

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Digitial Object Identifier (DOI)

10.22146/ajche.49685

Disciplines

Chemical Engineering

Keywords

Ionic solutions; Methanol; Propanols; Neural networks (Computer science)

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