Applications

Predict Two-Fluid Mixing and Droplet Dispersion

Two-fluid dispersion processes are crucial to many drug product and chemical manufacturing processes. M-Star CFD uses rigorous, first-principles modeling approaches for predicting droplet size distributions and dispersion physics.

CFD Modeling Capabilities

M-Star CFD was built to run on millions and billions of lattice grid points. This allows you to model complex two-fluid models more accurately and in minutes.

Latest Resources

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

Published in AiChE Journal

Predicting the Diameters of Droplets Produced in Turbulent Liquid-Liquid Dispersion

See how Boehringer Ingelheim uses M-Star CFD to understand the two-fluid mixing process and the relationship between droplet size distribution, fluid properties, and operating conditions.

Predicting the break-up of oil droplets in the trailing vortex of an impeller

Webinar

Two-phase Flows in Bioreactors and Fermentors

M-Star President John Thomas presents on predicting gas-liquid mass transfer rates in reactors using a bubble parcel model. Learn how lattice-Boltzmann simulations can optimize aeration and fluid flow in aerobic and microaerobic fermentation processes, enhancing productivity and predictive accuracy.

Gas-liquid mass transfer in a reactor using a bubble parcel model

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

Predict Two-Fluid Mixing and Droplet Dispersion

CFD Modeling Capabilities

Latest Resources

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

Published in AiChE Journal

Predicting the Diameters of Droplets Produced in Turbulent Liquid-Liquid Dispersion

Webinar

Two-phase Flows in Bioreactors and Fermentors

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