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Reinventing Customization in Particle Simulation

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Discover a powerful new approach for DEM customization with unparalleled performance and usability

This presentation explores topics beyond traditional DEM (Discrete Element Method) simulation, showcasing the latest customization approach for material handling applications. 

You will get insight into Rocky DEM’s Application Programming Interface (API), which allows you to customize the application interface using pre- and post-processing API and to compute advanced custom models using the solver API. Rocky API is based on the most recent technology for customization and user experience integration, providing unique solver performance, usability, and portability.

What to expect from this webinar:

Discover how pre- and post-processing API is a great way to save time by automating repeatable tasks. Scripting gives you access to raw data and simulation results, so you can automate your case setup and post-processing steps, especially when you’re performing a complex analysis for many similar kinds of simulation cases. 

In addition, we discuss how the solver API enables custom physics such as new contact, joint models, body forces, and custom scalars. The solver API gives access to the simulation processing cycle to modify or develop a model on Rocky DEM solver components, such as boundary triangles, particles, joints, and contacts. The custom models attach to the Rocky solver similar to the way other embedded features do, all with no performance degradation.

This presentation covers:

  • Why DEM (Discrete Element Method) customization?
  • Pre- and post-processing APIs
    • Pre-processing API: Custom input and frozen elements
    • Post-processing API: Automatic calculation of Angle of Repose (AoR)
  • Solver APIs: custom models and physics
    • Contact and joint model example

Ahmad Haghnegahdar

Presented by:

Ahmad Haghnegahdar

Applications Engineer, Rocky DEM Business Unit at ESSS

Ahmad holds a Master of Science degree in Chemical Engineering from Oklahoma State University. He brings experience in analyzing multiphase and turbulent flows in the field of biomechanics. His prior roles included developing and optimizing chemical processes through data analysis tools. Given his diverse background from chemical to pharmaceuticals, Ahmad recognizes and understands the challenges engineers face in simulating multiphysics systems across many industries.

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