Improved CFD transport and boundary conditions models for low-inertia particles

Simulation of airborne nanoparticles transport, deposition and aggregation: Experimental validation of a CFD-QMOM approach

“…The particle deposition is taken into account by directly providing the theoretical flux of moments towards the wall. Following the "Dynamic Boundary Layer" model of Nerisson et al (2011), the concentration profile in the boundary layer is integrated, leading to the following expression of the deposition flux:…”

“…In practice, the bulk concentration   , b n L t appearing in equation (12) is chosen in the first near-wall cell. The size of this cell is specified as its center follows the constraint 30 y   , where y  is the dimensionless wall distance, according to the practical recommendation of Nerisson et al (2011). The implementation of the complete model into a commercial CFD solver is further detailed in Guichard et al (2014a).…”

Estimation of an aerosol source in forced ventilation through prior identification of a convolutive model

“…The flow studied in the cabin was incompressible, steady modeled by an averaged Navier turbulence model [19][20]. The variation in the particle concentration field was modeled by means of the drift-flux model [21] following the transport equation: The boundary condition for wall deposition of particles was modeled using the deposition law of Nerisson et al [22] which reads:…”

From Source to Dose

“…Based on the solution for handling the dispersed phase, there are two CFD modelling approaches for nanoparticle aerosol problems in workplaces: namely the Eulerian-Eulerian and the Eulerian-Lagrangian approaches [58]. Both approaches consider the carrier phase as a continuum in that the flow details of the carrier, such as velocity and pressure, are obtained by solving Navier-Stokes equations.…”