期刊
JOURNAL OF MOLECULAR LIQUIDS
卷 291, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.molliq.2019.111349
关键词
Ionic liquids; Nanofluid; Viscosity; Central composite design; Artificial neural network
The effect of viscosity on heat transfer behaviour is analyzed for binary mixtures (ionic liquid + water and nanofluid + water) over the base fluid (water). Viscosities of 1-butyl-3-methylimidazolium bromide with water under ambient pressure are studied at different concentrations (0.1-0.6% w/w) and temperatures (296-336 K). Viscosities of nanofluid (gamma-Al2O3/water) are estimated at the same concentration and temperature range and then compared with the ionic liquid solution. Viscosity of aqueous 1-butyl-3-methylimidazolium bromide solution increases with concentration and decreases with temperature. A similar trend is observed for gamma-Al2O3/water. In addition, a model is developed with response surface methodology and artificial neural network to predict the viscosity of 1-butyl-3-methylimidazolium bromide with water. (C) 2019 Elsevier B.V. All rights reserved.
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