Session Rewind: From Particles to Performance: DEM‑CFD Simulation in Simcenter STAR‑CCM+

Webinar Rewind:

From Particles to Performance: DEM‑CFD Simulation in Simcenter STAR‑CCM+

Historically, simulating millions of particles alongside complex fluid streams was computationally expensive and difficult to configure. However, by calculating fluid-particle interactions—including momentum, heat, and mass transfer—concurrently, engineers can achieve unprecedented accuracy. This native integration enables highly accurate predictions of equipment wear, particle segregation, coating uniformity, and fluidization.

Understanding micro-level particle behavior translates directly to macro-level performance gains in applications like fluidized bed reactors, cyclone separators, and pneumatic conveying systems. During this session, real-world industrial use cases will demonstrate how integrated DEM-CFD simulations drive design innovation. Ultimately, adopting these advanced workflows drastically reduces physical prototyping costs while accelerating product time-to-market.

What You Will Learn:

• Master the Fundamentals: Gain a clear understanding of DEM and how it operates natively within the Simcenter STAR-CCM+ ecosystem.
  Explore Tightly Coupled Workflows: Learn how to set up and execute complex DEM-CFD simulations that account for two-way and four-way interactions between fluids and discrete particles.
• Leverage Advanced Modeling Techniques: Discover how to model intricate physics such as heat and mass transfer, particle breakage, cohesion, and complex non-spherical particle shapes.
• Analyze Industrial Use Cases: Review successful applications across various heavy industries, including pharmaceuticals, chemical processing, agriculture, mining, and heavy machinery manufacturing.
• Optimize Computational Performance: Learn expert best practices for meshing, scaling simulations, and reducing runtimes without sacrificing physical accuracy.

Who Should Attend:

• Simulation Engineers and Analysts working with granular materials or complex multiphase flows.
• Product Design Engineers aiming to optimize material-handling or processing equipment.
• Research and Development (R&D) professionals exploring advanced computational physics and digital twin technologies.
• Engineering Managers looking to improve their team’s simulation workflows and reduce reliance on physical testing