Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4994608 | International Journal of Heat and Mass Transfer | 2017 | 14 Pages |
Abstract
The model developed in this study is a powerful tool to predict stagnant thermal conductivity of porous media widely applied in a broad range of science and engineering disciplines. The low computational time of this model makes it a unique tool to provide real-time updates of material properties for on-site applications or other computational models. Furthermore, the solid matrix and the filling fluid in the porous medium could be multi-phase mixtures or composite materials due to the statistical nature of the random walk model.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
Fangzhou Wang, Xianglin Li,