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首页> 外文期刊>Fluid Phase Equilibria >Prediction of aliphatic and aromatic oil-water interfacial tension at temperatures 100 degrees C using COSMO-RS
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Prediction of aliphatic and aromatic oil-water interfacial tension at temperatures 100 degrees C using COSMO-RS

机译:在温度下预测脂族和芳香油 - 水界面张力的温度> 100摄氏度使用COSMO-RS

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As a contribution to the 9th Industrial Fluid Property Simulation Challenge on predicting interfacial tension between water and a set of non-polar oils at temperatures up to 170 degrees C we have used our first principles based model, which is based on density functional theory and uses COSMO-RS implicit solvent model thermodynamics. Our calculations predict that the oil-water interfacial tension starts to drop significantly for alkanes at temperatures above similar to 100 degrees C, and the oil-water interfacial tension drops significantly with increased temperature already above similar to 25 degrees C for aromatic oils. In the range 110-170 degrees C, the interfacial tension drops almost linearly with temperature at a rate of about -0.082 mN/m/K for dodecane and -0.147 mNimiK for toluene. Our method predicts that for any mix of dodecane and toluene, a linear interpolation of the interfacial tension with respect to the composition is a good approximation. The agreement of our predictions with the experimental data was overall satisfying, apart from a significant difference in the temperature dependence of the dodecane-water interfacial tension. We provide results derived from other experimental measurements suggesting that the large decrease measured by the challenge organizers may be erroneous. (C) 2017 Elsevier B.V. All rights reserved.
机译:作为第9次工业流体性能模拟挑战的贡献,即在高达170摄氏度的温度下预测水和一组非极性油之间的界面张力,我们已经利用了基于密度泛函理论和用途的基于基于原则的模型COSMO-RS隐式溶剂模型热力学。我们的计算预测油 - 水界面张力在高于100摄氏度的温度下的烷烃中开始显着下降,并且油 - 水界面张力显着下降,随着芳族油的25℃,较高的温度升高。在110-170摄氏度的范围内,界面张力几乎线性地用温度以约-0.082mn / m / k用于十二烷的速率下降,甲苯的-0.147mnimik。我们的方法预测,对于十二烷和甲苯的任何混合物,相对于组合物的界面张力的线性插值是良好的近似。除了十二烷 - 水界面张力的温度依赖性的显着差异之外,我们将预测与实验数据的预测达成一致。我们提供源自其他实验测量结果的结果,表明挑战组织者测量的大幅减少可能是错误的。 (c)2017 Elsevier B.v.保留所有权利。

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