Discrete Element Method Calibration with EDEM

Stephen Cole
Stephen Cole
Altair Employee
edited May 21 in Altair HyperWorks

Discrete Element Method Calibration with EDEM

Calibration or the use of calibrated models is an important component of any Altair® EDEM™ simulation.  This blog summarises the most common discrete element method calibration approach and outlines the resources available.

Why calibrate?

Bulk materials come in all shapes and forms, a material such as coal from one area of the world may behave differently from another part due to local conditions such as moisture content and humidity.  In addition the processing of this material may be different resulting in unique size distribution and amounts of fines and therefore different bulk behaviour.  For powders one companies processing methodology and additives may be different to another, resulting in unique material bulk behaviour.  For accurate numerical modelling of these materials calibration is required against a known experimental measurement.

For more in-depth calibration knowledge please join our regular training sessions or review one of our webinars:

For more background into EDEM we have a series of e-learning courses:

Calibration methodology

The typical calibration approach is to replicate the conditions of the process we wish to simulate in a small scale lab experiment, then through parameter variation and optimisation obtain our calibrated material model. Key steps are:

  • Understand and classify the material
  • Understand the process
  • Characterize the material with an experimental test
  • Reproduce the experimental test and analysis method in EDEM
  • Perform parameter optimization to replicate experimental result

Understand and classify the material

The best way to classify a material is to measure its size and size distribution as well as its shape and shape distribution.  What do we know about the material already, is this a cohesive or free flowing powder, a series of irregular shaped rocks or a semi-rigid solid block? 

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Coarse particulate solids can often be modelled at or close to the physical particle size with an approximation of the shape.

Fine particulates typically require a different approach as often it is not practical to model the required number of particles if the requirement is to model the complete system, the material is modelled using larger representative meso-scopic particles.

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Understand the process

We need to understand the process to determine if we can model this system directly or reduce the system down to a manageable level.  How many particles are in the system and how long do we need to simulate for?

What is happening in the system? Are the particles the dominant physics in the system or do we need to consider adding additional components such as :

We also need to know the stress state and flow regime in the system of interest.  Is this a semi-static hopper of material under pressure or a material or a dynamic free surface flow in a conveyor transfer system.  The stress state is critical in understanding which experimental test to choose.

Characterize the material with an experimental test

Once we understand the process and the material the appropriate test can be chosen. The larger particle types often are in a more free flowing system and the system can be captured with angle of repose and inclined plane tests.  Powders maybe dynamic and free flowing or semi-static and under high or low stress in which case the appropriate test needs to be selected.

Calibration tests for Powders

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Calibration tests for Soils

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Understanding the material and process also allows us to choose from one of the pre-defined already calibrated material models in EDEM:

Reproduce the experimental test and analysis method in EDEM

Finally we are ready to replicate the test, you can choose one of the tests mentioned above or create a custom test for the application. 

EDEM has a series of pre-defined tests with automated analysis. For an overview of the tests and kits available see:

The analysis method needs to match the experimental output, this is possible with the default analysis methods in EDEM or can be automated using EDEMpy.  The calibration kit includes pre-defined analysis scripts, for more information on EDEMpy see the e-learning:

Perform parameter optimization to replicate experimental result

The common approach is to run simulations of the test multiple times, varying the key interaction parameters each time to match the response of the simulation model to the physical measurement.

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HyperStudy is a powerful tool for parameterising and optimising EDEM models:

There are a number of tools to help you get started with this, for example:

If you are looking for further information on EDEM or other Altair products we have plenty more on Altair Community:

Altair Community EDEM

 

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