CFD Modeling of PEPT Results of Particle Motion Trajectories in a Pipe over an Obstacle

Investigations of particle dispersion and deposition have found numerous attentions in recent years due to their recognizable importance and applications in food, chemical, and oil industries, as well as in science. These particles diffusion in laminar an d turbulent flows depends on different parameters including the pipeline characteristics, the properties of solid and liquid, and finally the operating conditions. These dependencies raise the complexity of analyzing two-phase processes where flow include s solid particles, bubbles, or droplets. Although, one-phase processes have been studied theoretically, numerically, and experimentally, the description of these two phase processes requires much more experimental and numerical investigations. Regarding t o experimental views, Positron Emission Tomographi (PET) and Positron Emission Particle Tracking (PEPT) are relatively new nuclear imaging techniques for visualizing the image of the fundamental elements in the process experiments which make it possible t o track particles inside the two-phase flow. In this regard, much of pioneering works have been done by university of Birmangam and the Technical university of Delft. Recently university of Groningen and university of Bergen have conducted a series of exp eriments to track particles, to investigate the two-phase flow patterns, and to study particles transport mechanisms spatially and temporally using PET and PEPT technologies. In this work, we investigate numerically and experimentally the hydrodynamic beh avior of relatively coarse particles flowing through a horizontal straight pipe over an obstacle. To provide a highly accurate numerical assessment of two- phase flow, we apply Large Eddy Simulation (LES) using STAR-CD to solve particle-coupled differenti al equations, in which the particles dynamics and interactions are modelled using Lagrangian Newtons second law differential equations. To confirm the skill of coupled model results and to provide better underst