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    Mohan Srinivasa

    Large eddy simulations were carried out for the flow around a hydrodynamically smooth, fixed circular cylinder at two Reynolds numbers, one at a subcritical Reynolds number (Re = 1.4 × 10) and the other at a supercritical Reynolds number... more
    Large eddy simulations were carried out for the flow around a hydrodynamically smooth, fixed circular cylinder at two Reynolds numbers, one at a subcritical Reynolds number (Re = 1.4 × 10) and the other at a supercritical Reynolds number (Re = 1.0 × 10). The computations ...
    Mathematical models of fluidized beds enable engineers to gain insight, and understanding of the various physical processes that occur in these reactors. Detailed engineering models of fluidized beds differ in how the particulate phase is... more
    Mathematical models of fluidized beds enable engineers to gain insight, and understanding of the various physical processes that occur in these reactors. Detailed engineering models of fluidized beds differ in how the particulate phase is described. In the Eulerian description, partial differential equations are derived by averaging the motion of particles over various configurations and time. In the Lagrangian description, particles or parcels are tracked individually using Newton’s laws of motion through the domain. In this talk, we will discuss an efficient Euler-Lagrange model for flow and chemical reactions for large scale fluidized beds. The Dense Discrete Phase Model (DDPM) with a soft sphere based model for handling contacts and collisions between particles (the Discrete Element Method, or DEM) is proving to be an efficient model to handle large fluidized beds in an efficient manner. In this model, the concept of parcels (which represent a collection of particles of the same...