| Title | Euler-euler anisotropic gaussian mesoscale simulation of homogeneous cluster-induced gas-particle turbulence |
| Publication Type | Journal Article |
| Year of Publication | 2017 |
| Authors | Kong, B, Fox, RO, Feng, H, Capecelatro, J, Patel, R, Desjardins, O, Fox, RO |
| Journal | Aiche Journal |
| Volume | 63 |
| Pagination | 2630-2643 |
| Date Published | 07 |
| Type of Article | Article |
| ISBN Number | 0001-1541 |
| Accession Number | WOS:000402909600012 |
| Keywords | dilute, dynamics, Engineering, equations, filtered 2-fluid models, finite-volume schemes, Fluid-particle flow, fluidized-bed, granular flows, Kinetic theory of granular flow, Kinetic-based finite-volume methods, kinetic-model, moment method, moment methods, OpenFOAM, Quadrature-based, solid flows |
| Abstract | An Euler-Euler anisotropic Gaussian approach (EE-AG) for simulating gas-particle flows, in which particle velocities are assumed to follow a multivariate anisotropic Gaussian distribution, is used to perform mesoscale simulations of homogeneous cluster-induced turbulence (CIT). A three-dimensional Gauss-Hermite quadrature formulation is used to calculate the kinetic flux for 10 velocity moments in a finite-volume framework. The particle-phase volume-fraction and momentum equations are coupled with the Eulerian solver for the gas phase. This approach is implemented in an open-source CFD package, OpenFOAM, and detailed simulation results are compared with previous Euler-Lagrange simulations in a domain size study of CIT. The results demonstrate that the proposed EE-AG methodology is able to produce comparable results to EL simulations, and this moment-based methodology can be used to perform accurate mesoscale simulations of dilute gas-particle flows. (c) 2017 American Institute of Chemical Engineers AIChE J, 63: 2630-2643, 2017 |
| DOI | 10.1002/aic.15686 |
| Custom 1 | Theory of Multiphase Flow |
