AAAR 32nd Annual Conference
September 30 - October 4, 2013
Oregon Convention Center
Portland, Oregon, USA
Abstract View
Predicting Porosity of Dust Cakes under General Conditions Via Brownian Simulation
GUSTAF LINDQUIST, Christopher Hogan Jr., David Y. H. Pui, University of Minnesota
Abstract Number: 48 Working Group: Aerosol Physics
Abstract The capture efficiency and pressure drop resulting from dust cake accumulation is strongly dependent on that dust cake’s porosity. Many papers have been published describing this dependence, but limited work has been done to predict the porosity in generalized circumstances. Porosity can be a function of many parameters, such as fluid temperature, fluid viscosity, particle size, particle density, and fluid face velocity. These parameters can be reduced to two dimensionless quantities: the diffusive Knudsen number, and the "thermal energy ratio", which is the ratio of the kinetic energy with thermal energy of a particle. Using a Brownian Dynamics simulation with these two numbers as input parameters, it is possible to create virtual dust cakes and model the resulting porosity and structure. By running such a simulation over a grid of these input parameters, a model can be constructed predicting the porosity as a function of said parameters.