Abstract
The applications of ionic liquids solve a lot of major problems regarding green energy production and environment. Ionic liquids are solvents used as alternative to unfriendly traditional and hazardous solvents which reduces the negative impact to environment to a great extent. This study produced models to predict two of the basic physical properties of binary ionic liquid and ketone mixtures: density and speed of sound. The artificial neural network algorithm was used to predict these properties by varying the temperature, mole fraction, atom count in cation, methyl group count in cation, atom count in anion, hydrogen atom count in anion of ionic liquid and atom count in ketone. Total experimental data points of 2517 for density and 947 for speed of sound were used to train the algorithm and to test the network obtained. The optimum neural network structure determined for density and speed of sound of binary ionic liquid and ketone mixtures were 7-9-9-1 and 7-7-4-1 respectively; overall average percentage error of 2.45% and 2.17% respectively; and mean absolute error of 28.21 kg/m3 and 33.91 m/s respectively. The said algorithm was found applicable for the prediction of density and speed of sound of binary ionic liquid and ketone mixtures.
Highlights
Ionic liquids (ILs) are classified as highly useful compounds having very good properties such as being non-volatile and non-flammable, low toxicity and good solubility for various organic and inorganic materials
Adjustment of parameters was performed for different trial-and-error stage or epoch until the optimum neural network structure was achieved
The prediction was based on the knowledge of temperature, mole fraction, atom count in cation, methyl group count in cation, atom count in anion, hydrogen atom count in anion of IL and atom count in ketone for the compounds in the mixture
Summary
Ionic liquids (ILs) are classified as highly useful compounds having very good properties such as being non-volatile and non-flammable, low toxicity and good solubility for various organic and inorganic materials. ILs are considered as “designer solvents” and an alternative to hazardous organic solvents [3]. The use of these promising solvents as alternative to unfriendly traditional solvents reduces the negative impact on environment to a great extent. Previous studies are only limited to certain number of systems of ionic liquids like binary mixtures of ILs with water and alcohol. They only vary only one, two or three parameters like pressure, temperature and mole fraction while the effect of atom counts is disregarded. Other researches considered a certain temperature range but limited binary ILs only
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