首页> 外文期刊>Journal of Chemical and Engineering Data: the ACS Journal for Data >Density, Surface Tension, and Viscosity of Ionic Liquids (1-Ethyl-3-methylimidazolium diethylphosphate and 1,3-Dimethylimidazolium dimethylphosphate) Aqueous Ternary Mixtures with MDEA
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Density, Surface Tension, and Viscosity of Ionic Liquids (1-Ethyl-3-methylimidazolium diethylphosphate and 1,3-Dimethylimidazolium dimethylphosphate) Aqueous Ternary Mixtures with MDEA

机译:离子液体(1-乙基-3-甲基咪唑二乙基磷酸和1,3-二甲基咪唑二甲基磷酸)与MDEA的三元水性混合物的密度,表面张力和粘度

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摘要

The density, surface tension, and viscosity of ionic liquids (1-ethyl-3-methylimidazolium diethylphosphate and 1,3-dimethylimidazolium dimethylphosphate) and ternary mixtures with aqueous MDEA, were measured over the whole concentrations range at various temperatures (293.15-343.15) K by using Anton Paar DMA 4500 densimeter, Kruss Processor Tensiometer K100, and R/S+ Brookfield rheometer. The experimental density and surface tension decrease linearly with mole fractions of ionic liquids. Data on viscosity demonstrates a temperature-dependence behavior, that decreased nonlinearly with temperature. Evaluations of the measured physicochemical properties were completed. The best correlation for density and surface tension data were linear fitting, while the viscosity data was obtained by polynomial regression. ILs mole fraction also influenced the experimental density, surface tension, and viscosity. The Jouyban-Acree model was used to correlate the physicochemical properties of the mixtures and pure compounds at different temperatures. The absolute percentage error (APER) for each correlations was less than 8 %, proving that this model accurately represents the physicochemical properties data.
机译:在各种温度下(293.15-343.15)在整个浓度范围内测量了离子液体(1-乙基-3-甲基咪唑二磷酸盐和1,3-二甲基咪唑二甲基磷酸盐)以及与MDEA水溶液的三元混合物的密度,表面张力和粘度。使用Anton Paar DMA 4500密度计,Kruss Processor Tensiometer K100和R / S + Brookfield流变仪测量K。实验密度和表面张力随离子液体的摩尔分数线性降低。粘度数据显示出温度依赖性行为,该行为随温度呈非线性下降。已完成对测得的理化性质的评估。密度和表面张力数据的最佳相关是线性拟合,而粘度数据是通过多项式回归获得的。 IL的摩尔分数也影响实验密度,表面张力和粘度。 Jouyban-Acree模型用于关联混合物和纯化合物在不同温度下的物理化学性质。每个相关性的绝对百分比误差(APER)均小于8%,证明该模型可以准确表示理化性质数据。

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