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
复制标题
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
复制
发表时间:
2017
影响因子:
5.2
通讯作者:
J. Shiomi
中科院分区:
文献类型:
--
作者:
J. J. Cannon;T. Kawaguchi;T. Kaneko;T. Fuse;J. Shiomi
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.
影响因子:
1.7
作者:
P. Daivis;D. Evans
通讯作者:
D. Evans
影响因子:
3.3
作者:
Borys Szefczyk;M. Cordeiro
通讯作者:
M. Cordeiro
DOI:
--
发表时间:
2008
期刊:
Journal of Chemical Physics Vol.127
影响因子:
--
作者:
D. Torii;T. Nakano;and T. Ohara
通讯作者:
and T. Ohara