Prediction of the Temperature-Dependent Thermal Conductivity and Shear Viscosity for Rigid Water Models

Author(s):  
Yijin Mao ◽  
Yuwen Zhang

The temperature-dependent thermal conductivity and shear viscosity of liquid water between 283 and 363 K are evaluated for eight rigid models with reverse nonequilibrium molecular dynamics (RNEMD). In comparison with experimental data, five-site models (TIP5P and TIP5P-Ew) have apparent advantages in estimating thermal conductivities than other rigid water models that overestimate the value by tens of percent. For shear viscosity, no single model can reproduce all experimental data; instead, five- and four-site models show their own strength in a certain temperature range. Meanwhile, all of the current rigid models obtain lower values than experimental data when temperature is lower than 298 K, while the TIP5P and TIP5P-Ew models can relatively accurately predict the values over others at a temperature range from 298 to 318 K. At a higher temperature range shear viscosity of liquid water can be reproduced with a four-site model (TIP4P-2005, TIP4P-Ew) fairly well.

Author(s):  
Yijin Mao ◽  
Yuwen Zhang

The temperature-dependent thermal conductivity and shear viscosity of liquid water between 283K and 363K are evaluated for eight rigid models with the reverse non-equilibrium molecular dynamics (RNEMD). The five-site models (TIP5P and TIP5P-Ew) have apparent advantages in estimating thermal conductivities than other rigid water models that overestimate the value by tens of percent. For shear viscosity, no single model can reproduce all experimental data; instead, five- and four-site models show their own strength in certain temperature range. Meanwhile, all of current rigid models obtain lower values than experimental data when temperature is lower than 298K, while TIP5P and TIP5P-Ew model can relatively accurately predict the values than others at temperature range from 298K to 318K. At higher temperature range, shear viscosity of liquid water can be reproduced with four-site model (TIP4P-2005, TIP4P-Ew) fairly well.


2011 ◽  
Vol 340 ◽  
pp. 34-39
Author(s):  
Hai Feng Zhang ◽  
Peng Xin Li ◽  
Li Qun He

Two Models for Estimating the Effective Thermal Conductivity (kE) of Multi-Phase Materials Are Comparatively Investigated. the First Model Is the Effective Medium Approximation (EMA), which Is Based on the Extension of the Percolation Theory. the Second Is the Randomly Mixed Model (RMM), a Numerical Method in which All Components Are Seen as Cubech_cubecucube in Shape and Are Randomly Dispersed inside the Space. Two Models Can Be Directly Applied to Multi-Phase Media without Empirical Parameters. Compared with Experimental Data of Food Materials in the Literature, Two Models both Give Good Estimations of the Temperature-Dependent KE.


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