Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29490
Title: Property estimation of water/alcohol/ionic liquid ternary system: Density
Authors: Mehraban, M
Anbaz, MA
Shaahmadi, F
Bazooyar, B
Keywords: density;alcohol water;azeotropic mixture;ternary system;LSSVM;SVM;ANN;SCE
Issue Date: 9-May-2018
Publisher: Elsevier
Citation: Mehraban, M. et al. (2018) 'Property estimation of water/alcohol/ionic liquid ternary system: Density', Journal of Molecular Liquids, 264 pp. 88 - 97. doi: 10.1016/j.molliq.2018.05.033.
Abstract: One of the most highly important applications of ionic liquids is for separation of the components of water/alcohol azeotropic mixture. The use of ionic liquids for this purpose creates a ternary system for which the determination of thermodynamic behavior and physical properties is highly matter of interest in design and operation of effective separation plants. In this work, the density of the aqueous ionic liquid ternary system is modelled based on three intelligent connectionist approaches. For the modelling, 1663 experimental density data points for ternary systems including 17 different ionic liquids in four aqueous alcohols (methanol, ethanol, propanol, and pentanol) solution were analyzed and taken into account at temperature range [288–343] K and pressure ranges [100–3000] kPa. The Shuffled complex evolution (SCE) algorithm was employed for optimization of the model parameters and constants. Four statistical parameters of R2, AARD, RMSE and STD were calculated for the connectionist models to compare their performance in the degree of comprehensiveness and accuracy. The highly matched results of the modelling with experimental demonstrate that the intelligent approach provides a suitable replacement for conventional thermodynamic models and equation of states which need too many fitting parameters.
URI: https://bura.brunel.ac.uk/handle/2438/29490
DOI: https://doi.org/10.1016/j.molliq.2018.05.033
ISSN: 0167-7322
Other Identifiers: ORCiD: Bahamin Bazooyar https://orcid.org/0000-0002-7341-4509
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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