Physical SciencesEngineeringComputational Mechanics

Granular flow and fluidized beds

Granular materials — sand, powders, pharmaceutical tablets, grain — behave neither like a solid nor a liquid, and understanding how they flow, mix, and jam under applied forces is one of the central problems in computational mechanics. Researchers use discrete element method (DEM) simulations and continuum rheological models to track how billions of individual particles interact through contact forces, friction, and drag from surrounding gas, particularly in fluidized beds where an upward gas stream suspends solid particles and drives industrial processes from chemical reactors to drug manufacturing. A persistent challenge is bridging scales: particle-level collision physics must somehow translate into reliable macroscopic flow rules without prohibitive computational cost, and no universally accepted constitutive model yet captures the full range of granular behavior across dense, dilute, and transitional regimes. Active work focuses on coupling DEM with computational fluid dynamics for realistic gas-solid flow predictions and on using machine learning to accelerate simulations complex enough to guide continuous pharmaceutical processing.

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69,670
Total citations
1,123,996
Keywords
Granular FlowsDiscrete Particle SimulationFluidized BedsDEM ModelingParticle DynamicsRheology

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