Applications

CFD-DEM Simulations

Particle-laden systems often require the simultaneous solution of the fluid field, particle fields, and interactions between the two phases. The GPU-based implementation of M-Star CFD software makes large-scale simulations of such systems accessible and practical.

Modeling Capabilities for CFD-DEM Simulations

M-Star CFD software was built to run on millions and billions of lattice grid points. This allows you to model complex multiphase solid/liquid systems accurately in time scale relevant to industrial design.

Latest Resources

See M-Star in action with on-demand webinars, demos and more.

Published in AiChE Journal

Predicting NJS using Lattice Boltzmann Simulation

Read how researchers at New Jersey Institute of Technology (NJIT) used M-Star CFD-DEM simulations to understand the physics driving particle suspension in agitated tanks.

Video Tutorial

Particle Blending and Suspension Modeling

Approaches for modeling two-fluid liquid/solid systems using M-Star particle simulation software. We consider both tracer and inertial particles and illustrate how these simulations can be used to predict residence time distributions, setting, etc.

How-To Guide

Custom Particle Variables Simulations

Learn how to use M-Star CFD software to configure custom particle variables to capture hydrodynamic conditions and gain valuable insight into the particles exposure to local fluid conditions.

Webinar

Particle Suspension, Settling, and Dissolution Processes

M-Star President John Thomas presents on particle suspension, settling, and dissolution processes.

Case Study

How AbbVie Built Digital Twins to Understand Miscible Fluid Blending

With M-Star CFD software, AbbVie built accelerated digital twins of a physical mixing tank to predict real-time fluid mechanics with a fidelity that rivals experimental data.

Case Study

Bristol Myers Squibb Predicts Mass & Oxygen Transfer in Bioreactors

BMS used M-Star CFD to build time dependent, bubble-resolved, two-phase models to investigate the real-time blending, and mass and oxygen transfer in stirred tank bioreactors.

Case Study

How Pfizer Leveraged Digital Twins to Create a Process Scale-Up Roadmap

Pfizer built digital twins with M-Star CFD to perform lab experiments in silico, accelerating the speed of manufacturing innovation and minimizing the scope of required supporting experimental studies.

Publication

Validating Lattice Boltzmann LES for Biopharma Equipment Characterization

Boehringer Ingelheim and the Institute of Multiphase Flows use M-Star CFD to apply transient LB LES to a 3L bioreactor system and compare results to a steady RANS simulation.

Applications

CFD-DEM Simulations

Modeling Capabilities for CFD-DEM Simulations

Latest Resources

See M-Star in action with on-demand webinars, demos and more.

Published in AiChE Journal

Predicting NJS using Lattice Boltzmann Simulation

Video Tutorial

Particle Blending and Suspension Modeling

How-To Guide

Custom Particle Variables Simulations

Webinar

Particle Suspension, Settling, and Dissolution Processes

Case Study

How AbbVie Built Digital Twins to Understand Miscible Fluid Blending

Case Study

Bristol Myers Squibb Predicts Mass & Oxygen Transfer in Bioreactors

Case Study

How Pfizer Leveraged Digital Twins to Create a Process Scale-Up Roadmap

Publication

Validating Lattice Boltzmann LES for Biopharma Equipment Characterization

Get Started with M-Star