TL;DR: In this paper, the dispersion and deposition of aerosol particles from a point source in a turbulent channel flow are studied, and an empirical mean velocity profile and experimental data for turbulent intensities are used in the analysis.
Abstract: The dispersion and deposition of particles from a point source in a turbulent channel flow are studied. An empirical mean velocity profile and the experimental data for turbulent intensities are used in the analysis. The instantaneous turbulence fluctuation is simulated as a continuous Gaussian random field, and an ensemble of particle trajectories is generated and statistically analyzed. A series of digital simulations for dispersion and deposition of aerosol particles of various sizes from point sources at different positions from the wall is performed. Effects of Brownian diffusion on particle dispersion are studied. The effects of variation in particle density and particle-surface interaction are also discussed.
TL;DR: In this paper, the Hosokawa powder tester and Copley tap density volumeter were used to assess the flowability of porous and non-porous powders in which particle size changes as a result of controlling the percentage of fine components in the mixtures.
TL;DR: In this article, a model for particle diffusion involving the profile of the nebula gas turbulence and the particle Schmidt number is developed, which is a function of particle size and density.
TL;DR: In this article, a new technique for measuring the relationship between electrical mobility and mass is described, and the density of spherical particles of known composition can be measured to within ∼5% with this approach.
Abstract: We describe a new technique for measuring the relationship between electrical mobility and mass. For spherical particles, the mass-mobility relationship can be used to determine particle density. For nonspherical particles, this relationship is affected by both the density and the dynamic shape factor; additional information would be required to determine either one. However, combinations of shape factors and densities that are consistent with measurements can be obtained. We show that the density of spherical particles of known composition can be measured to within ∼5% with this approach. We applied the technique to urban atmospheric aerosols of ∼0.1 and ∼0.3 w m in Atlanta, GA, during August 1999. The Atlanta data show that particles of a given mobility often have several distinct masses. Based on complementary measurements, we argue that the most abundant mass consists of spherical hygroscopic particles. The measured mass for these particles (assuming that they are spherical) fell into the range of 1.5...
TL;DR: In this article, a new time-dependent density functional approach is presented to study the relaxational dynamics of an assembly of interacting particles subject to thermal noise, where the changes in time of the density depend on the functional derivatives of the grand canonical free energy functional of the system.
Abstract: We present a new time-dependent density functional approach to study the relaxational dynamics of an assembly of interacting particles subject to thermal noise. Starting from the Langevin stochastic equations of motion for the velocities of the particles we are able by means of an approximated closure to derive a self-consistent deterministic equation for the temporal evolution of the average particle density. The closure is equivalent to assuming that the equal-time two-point correlation function out of equilibrium has the same properties as its equilibrium version. The changes in time of the density depend on the functional derivatives of the grand canonical free energy functional F[ρ] of the system. In particular the static solutions of the equation for the density correspond to the exact equilibrium profiles provided one is able to determine the exact form of F[ρ]. In order to assess the validity of our approach we performed a comparison between the Langevin dynamics and the dynamic density functional...