Simcenter STAR-CCM+
Eulerian multiphase modeling in Simcenter STAR-CCM+

Course Code
Simcenter STAR-CCM+ 2020.2
User Level
Beginner to Intermediate
List Price
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Training Center Duration
2 Days
LIVE Online Duration
4 hours each day for 4 Days

After an introduction in general multiphase modeling approaches in CFD (Computational Fluid Dynamics), we present the various models available in Simcenter STAR-CCM+ to model multiphase flows. The focus of this course is then on the Eulerian Multiphase (EMP) model with its various options to model phase interactions. Starting with mono-dispersed flows in an areated mixing vessel we expand the application to flows with particles / bubbles of various sizes and finally, add dissolution mass transfer to the mix. Leaving flows restricted to only particles behind, we dip into flows with large scale interfaces. All concepts are discussed in presentations and practiced in labs. Some of the labs have detailed instructions, others invite the user to solve tasks to solidify the skills learned in the lessons. 


This course is intended for proficient STAR-CCM+ users who want to gain more insight into Eulerian multiphase modeling.


Required courses:

Participant needs a working knowledge of NX modeling, and a basic understanding of FEA and structural analysis.

  • Student Guide
  • Activity Material
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  • Differences in multiphase flows approaches, basic equations and forces on particles and bubbles
  • Locating parameters in Simcenter STAR-CCM+
  • Setup of simple Eulerian multiphase simulations:
    • Mono-dispersed bubbles
    • Poly-dispersed flows using the particle size distribution models
      • S-Gamma
      • A-MuSIG
  • Modeling free surfaces in a dispersed flow using  the multiple flow regime model
    • Large Scale Interfaces
    • Meshing in 2D and requirements
  • Modeling dissolution mass transfer
  • Modeling wall and bulk boiling
  • All concepts are presented theoretically and practically in labs
    • Detailed instructions labs
    • Objective-based labs where users solve tasks on their own