Scale-up of granular flows has traditionally relied on empiricism and observations. Over the past decade or so, however, computational modeling using the discrete element method (DEM) has turned solids handling practice from art to science. DEM is a modeling technique that treats bulk solids as a collections of large number of particles interacting with each other and their environment (such as fluids that may be present, mechanical elements in the equipment etc.). By treating each particle in the bulk solids flow as a ”discrete” or ”distinct” entity, DEM enables a more fundamentals-based approach to understanding granular flow, mixing and other associated physical phenomena. Being a ”particle-based” method, DEM is also more robust and stable from the perspective of setting up and running simulations. It is thus in sharp contrast to its counterparts in the ”continuum-based” approach to flow modeling (such as finite-volume and finite-element methods) which are somewhat hamstrung by complex models and numerical procedures.

SmartDEM - Tridiagonal’s DEM platform - is a computational tool developed with the express purpose of enabling process engineers to harness the power of DEM.
SmartDEM - Tridiagonal’s DEM platform - is a computational tool developed with the express purpose of enabling process engineers to harness the power of DEM.

Here are some reasons why you should consider using SmartDEM for your next bulk solids flow analysis

Easy-to-use

In addition to a robust flow solver, SmartDEM provides several user-friendly features including an interactive GUI, intuitive workflow, complex geometry capabilities, time-based event-simulation etc.

”Cloud”-friendly

SmartDEM is also easily deployed on cloud computing frameworks - enabling fast execution of solids flow simulations on hundreds of processors that are readily available. The lack of in-house computing infrastructure is no longer an impediment.

Powerful visualization and reporting

SmartDEM comes standard with a powerful suite of postprocessing and visualization tools. With these tools, users are able to quickly obtain actionable insight into their processes from simulation data.

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