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首页> 外文期刊>Advances in colloid and interface science >Calculation of nanodrop profile from fluid density distribution
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Calculation of nanodrop profile from fluid density distribution

机译:从流体密度分布计算纳米液滴分布

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Two approaches are examined, which can be used to determine the drop profile from the fluid density distributions (FDDs) obtained on the basis of microscopic theories. For simplicity, only two-dimensional (cylindrical, or axisymmetrical) distributions are examined and it is assumed that the fluid is either in contact with a smooth solid or separated from the smooth solid by a lubricating liquid film. The first approach is based on the sharp-kink interface approximation in which the density of the liquid inside and the density of the vapor outside the drop are constant with the exception of the surface layer of the drop where the density is different from the above ones. In this case, the drop profile was calculated by minimizing the total potential energy of the system. The second approach is based on a nonuniform FDD obtained either by the density functional theory or molecular dynamics simulations. To determine the drop profile from such an FDD, which does not contain sharp interfaces, three procedures can be used. In the first two procedures, P1 and P2, the one-dimensional FDDs along straight lines which are parallel to the surface of the solid are extracted from the two-dimensional FDD. Each of those one-dimensional FDDs has a vapor liquid interface at which the fluid density changes from vapor-like to liquid-like values. Procedure P1 uses the locations of the equimolar dividing surfaces for the one-dimensional FDDs as points of the drop profile. Procedure P2 is based on the assumption that the fluid density is constant on the surface of the drop, that density being selected either arbitrarily or as a fluid density at the location of the equimolar dividing surface for one of the one-dimensional FDDs employed in procedure P1. In the third procedure, P3, which is suggested for the first time in this paper, the one-dimensional FDDs are taken along the straight lines passing through a selected point inside the drop (radial line). Then, the drop profile is calculated like in procedure P1. It is shown, that procedure P3 provides a drop profile which is more reasonable than the other ones. Relationship of the discussed procedures to those used in image analysis is briefly discussed. (C) 2016 Elsevier B.V. All rights reserved.
机译:检验了两种方法,可用于根据微观理论从流体密度分布(FDD)确定液滴分布。为简单起见,仅检查二维(圆柱或轴对称)分布,并假定流体与光滑固体接触或通过润滑液膜与光滑固体分离。第一种方法基于锐角界面近似,其中液滴内部的密度和液滴外部的蒸汽密度恒定,除了液滴的表层密度与上述密度不同。 。在这种情况下,通过最小化系统的总势能来计算跌落曲线。第二种方法基于通过密度泛函理论或分子动力学模拟获得的非均匀FDD。要从不包含尖锐接口的此类FDD确定丢弃配置文件,可以使用三个过程。在前两个过程P1和P2中,沿着平行于固体表面的直线的一维FDD从二维FDD中提取。这些一维FDD中的每一个都具有气液界面,在该界面处流体密度从类蒸气值变为类液值。程序P1使用一维FDD的等摩尔分隔面的位置作为墨滴轮廓的点。程序P2基于以下假设:液滴的表面上的流体密度是恒定的,对于该过程中使用的一维FDD之一,可以选择任意密度,也可以在等摩尔分隔面的位置选择流体密度。 P1。在本文中首次建议的第三种程序P3中,一维FDD沿着通过液滴内选定点(径向线)的直线获取。然后,像在程序P1中一样计算下降轮廓。示出的是,过程P3提供了比其他过程更合理的丢弃轮廓。简要讨论了所讨论程序与图像分析中所用程序之间的关系。 (C)2016 Elsevier B.V.保留所有权利。

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