首页> 外文期刊>Journal of Molecular Liquids >Experimental determination and predictive modelling of the mutual diffusion coefficients of water and ionic liquid 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate
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Experimental determination and predictive modelling of the mutual diffusion coefficients of water and ionic liquid 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate

机译:水和离子液体液体液体1-(2-羟基乙基)-3-甲基咪唑鎓四氟硼酸盐的互扩散系数的实验测定和预测建模

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Mutual diffusion coefficients of a binary mixture of water + ionic liquid 1-(2-hydroxyethyl)-3-methylimidazolium tetrafluoroborate have been investigated by means of experimental and predictive approaches. Optical digital interferometry has been employed to determine the mutual diffusion coefficients over the full ionic liquid mass fraction range and at four temperatures between 298.15 and 313.15 K. Moreover, the prediction ability of four different models has been tested. The influence of using different excess Gibbs energy (g(E)) models to calculate the relevant thermodynamics properties was also addressed. The mutual diffusion coefficient has a strong dependence on concentration and varies from 2 x 10(-10) to 127 x 10(-9 )m(2)s(-1). The concentration and temperature dependencies of the present experimental diffusion coefficients were correlated using empirical and predictive equations. The use of binary interaction parameter regressed from diffusion data instead of vapor-liquid equilibria improves considerably the prediction ability of the employed predictive models. Among the studied predictive models, the modified group contribution model provides the best results with an absolute relative deviation of 2.1%. Throughout the paper, thermodynamic and kinetic behavior of the mixture are analyzed for establishing an appropriate criterion for the screening of ionic liquids as working fluids for absorption refrigeration systems. (C) 2019 Elsevier B.V. All rights reserved.
机译:通过实验和预测方法研究了水+离子液体1-(2-羟基乙基)-3-甲基咪唑鎓四氟硼酸盐的互流量系数。已经采用光学数字干涉测定法以确定全离子液体质量分数范围内的互扩散系数,并且在298.15和313.15k之间的四个温度下。此外,已经测试了四种不同模型的预测能力。还解决了使用不同多余的GIBBS能量(G(e))模型来计算相关热力学性质的影响。互扩散系数具有强的浓度依赖性,并且不同于2×10( - 10)至127×10(-9)m(2)S(2)S(-1)。本实验扩散系数的浓度和温度依赖性使用经验和预测方程相关。使用从扩散数据代替蒸汽均衡的二进制交互参数的使用显着提高了所采用的预测模型的预测能力。在研究的预测模型中,修改的组贡献模型提供了绝对相对偏差为2.1%的最佳效果。在整个纸张中,分析混合物的热力学和动力学行为,用于建立适当的标准,用于筛选离子液体作为吸收制冷系统的工作流体。 (c)2019 Elsevier B.v.保留所有权利。

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