INVESTIGADORES
BENITO Jesica Gisele
congresos y reuniones científicas
Título:
Monte Carlo model for particle resuspension phenomena
Autor/es:
BENITO, J. G.; R.O. UÑAC; I. IPPOLITO; A. M. VIDALES
Lugar:
Santiago
Reunión:
Workshop; Southern Workshop on Granular Materials SWGM 2015; 2015
Institución organizadora:
Universidad de Chile
Resumen:
Resuspension phenomena correspond to the process in which deposited particles on a surface are ?detached? from it through a given mechanism. Resuspension is present in a wide range of fields, such as airborne particles, reentraiment of sediments, human health, filtration systems and food industry. In particular, industrial applications involve obtaining perfectly clean surfaces for micro and nanoelectronic technology. Besides, the problem of resuspension causes serious difficulties in mining production and is essential in the study of radioactive particles released to theenvironment during nuclear accidents.In this work we present a simulation model based on the Monte Carlo (MC) method to describe the resuspension of particles deposited on a flat surface by the action of a turbulent air flow. The resuspension probability is evaluated from a balance between the moments of adhesion and the aerodynamic forces acting on each particle. Adhesion forces between particles and surface respond to a log-normal distribution, while the forces due to air flow follow a gaussian distribution.We perform a detailed comparison between the results obtained from this MC model with different previous experimental results. Despite its simplicity, we found that this model has a high capacity to describe the observed behavior of the resuspended particles fraction as a function of the air velocity. Finally, we discuss the model advantages and its ability to complement others existing models by incorporating the stochastic nature of the process.