Understanding decoupling mechanisms of liquid-mixture transport properties through regression analysis with structural perturbation

Understanding decoupling mechanisms of liquid-mixture transport properties through regression analysis with structural perturbation
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通过结构扰动回归分析了解液体混合物输运特性的解耦机制

DOI:
10.1016/j.ijheatmasstransfer.2016.09.046
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发表时间:
2017
影响因子:
5.2
通讯作者:
J. Shiomi
J. Shiomi
中科院分区:
工程技术2区
文献类型:
--
作者:
J. J. Cannon;T. Kawaguchi;T. Kaneko;T. Fuse;J. Shiomi

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液体热物理性质的优化对于工程应用很重要;通常通过混合两种或多种液体来实现。一个重要的问题是,属性往往是耦合的,如果一个属性的改善伴随着另一个属性的恶化,这可能是有问题的。因此,优化通常是属性之间的折衷,如果它们可以解耦,则可以得到增强。然而,这种解耦首先需要了解每个感兴趣的热物理性质的共同和不同的物理起源。在这里,我们介绍了一种新的方法来获得这样的理解,结合分子模拟为基础的结构扰动与正则化的统计分析。考虑到粘度和热导率的水-乙二醇混合物作为一个测试案例,我们确定的结构上的每一个属性的作用,并强调氢键可以在这样的解耦中发挥的重要作用。
Optimization of liquid thermophysical properties is important for engineering applications; often achieved by mixing two or more liquids. An important issue is that properties tend to be coupled, which can be problematic if improvement of one property is accompanied by deterioration in another. Therefore, optimization is typically a compromise between properties, and it could be enhanced if they could be decoupled. Such decoupling however first requires an understanding of the common and distinct physical origins of each thermophysical property of interest. Here, we introduce a new approach to gain such understanding, combining molecular-simulation-based structural perturbation with regularized statistical analysis. Considering viscosity and thermal conductivity of a water–glycol mixture as a test-case, we identify the role of structure on each property, and highlight the important role that hydrogen bonding can play in such decoupling.
DOI: 10.1080/00268979400100881
发表时间: 1994
期刊: Molecular Physics
影响因子: 1.7
作者:
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发表时间: 2011
影响因子: 3.3
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发表时间: 2008
期刊: Journal of Chemical Physics Vol.127
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