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首页> 外文期刊>Fluid Phase Equilibria >Prediction of the water/oil interfacial tension from molecular simulations using the coarse-grained SAFT-gamma Mie force field
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Prediction of the water/oil interfacial tension from molecular simulations using the coarse-grained SAFT-gamma Mie force field

机译:使用粗粒子Saft-Gamma Mie Force田预测分子模拟的水/油界面张力

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This work reports the award-winning entry for the Ninth Industrial Fluid Properties Simulation Challenge. This worldwide competition was set with the aim of assessing the capability of molecular simulation methods and force fields to accurately predict the interfacial tension of oil + water mixtures at high temperatures and pressures. The challenge focused on predicting the liquid-liquid interfacial tension of binary mixtures of dodecane + water, toluene + water and a 50:50 (wt%) mixture of dodecane:toluene + water at 1.825 MPa (250 psig) and temperatures from 110 to 170 degrees C. In our entry for the challenge, we employed coarse-grained intermolecular models parametrized via a top-down technique in which an accurate equation of state is used to link experimentally observed macroscopic properties of fluids with the force-field parameters. The state-of-the-art version of the statistical associating fluid theory (SAFT) for potentials of variable range as reformulated in terms of the Mie potential is employed here. Interfacial tensions are calculated through a direct method, where an elongated simulation cell is sampled through molecular dynamics in the isobaric-isothermal constant area ensemble (NP(zz)AT). The coarse-grained nature of the force field allows for the accelerated calculation of relatively large systems. The binary interaction parameters that describe the cross-interactions have been obtained in previous works by fitting to interfacial tensions of the constituent binaries at lower pressures and temperatures; these are taken as constant for all conditions and mixtures studied. After disclosure of the challenge results, we observe that the interfacial properties of the mixtures are described with an error of less than 5 mNim over the whole range of conditions, demonstrating the accuracy and transferability of the top-down SAFT-gamma Mie force field approach. (C) 2017 Elsevier B.V. All rights reserved.
机译:这项工作报告了第九个工业流体特性模拟挑战的屡获殊荣的进入。在全球范围内进行了旨在评估分子模拟方法和力场的能力,以准确地预测油+水混合物在高温和压力下的界面张力。挑战的重点是预测十二烷+水,甲苯+水和50:50(wt%)的十二烷:甲苯+水的二元混合物的液体液体界面张力:甲苯+水在1.825MPa(250psig)和110至0℃的温度下在我们的挑战入口中,我们采用粗粒细粒分子模型通过通过自上而下的技术参数化,其中使用精确的状态方程来将实验观察到的流体的宏观性能与力场参数进行链接。本文使用了在MIE电位方面重新制定的可变范围潜在的统计关联流体理论(SAFT)的最新版本。通过直接方法计算界面张力,通过直接的方法通过等离性恒定区域合奏(NP(ZZ))中的分子动力学来采样细长的模拟单元。力场的粗粒色性质允许加速计算相对大的系统。通过拟合在较低压力和温度下的构成二进制文件的界面张力,在先前的作用中获得了描述交叉相互作用的二元交互参数;这些常量对所研究的所有条件和混合物进行常数。在披露挑战结果之后,我们观察到混合物的界面性质描述于整个条件范围内小于5mnim的误差,展示了自上而下的Saft-Gamma Mie力场方法的准确性和可转换性。 (c)2017 Elsevier B.v.保留所有权利。

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