Understanding Fluidization: Two Approaches, Eulerian and Lagrangian
Thursday, June 5, 2014

Fluidization is a common phenomenon within the chemical process and pharmaceutical industries. It is the process by which particles under certain conditions are made to behave like fluid. This phenomenon is found in fluidized bed reactors, fluidized combustors, catalytic cracking and tablet coating.

Fluidization is a complex phenomenon to understand, visualize and perform experimental measurements. The design, operation and optimization of equipment using fluidization can indeed be difficult. A combination of observation, measurement and simulation can overcome and achieve this goal.

This webcast uses STAR-CCM+® to show two methods of simulating fluidized beds. The first method, based on the Eulerian approach with granular flow model, treats fluids as a continuous phase and solids as a dispersed phase. It is suitable for simulating equipment with wide ranging sets of conditions, including reactions. The discrete element modeling approach is a Lagrangian approach where the movements, particle-particle and particle-wall interactions, are modeled explicitly. It can include heat transfer as well as reactions.

Presenters review the basis and capabilities of these two different approaches with validation studies. A demonstration explores how a simulation with both of these methods can be setup. Also under review are some recent and future developments in the model capabilities to include complex physics in fluidization.

Ravindra Aglave
Thomas Eppinger
Kristian Debus
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