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.
| Original language | English |
|---|---|
| Pages (from-to) | 2630-2643 |
| Number of pages | 14 |
| Journal | AICHE Journal |
| Volume | 63 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2017 |
| Externally published | Yes |
Keywords
- OpenFOAM
- fluid–particle flow
- kinetic theory of granular flow
- kinetic-based finite-volume methods
- quadrature-based moment methods