Applications

Model Mass Transfer, Multiphase Fluid Flow & More in Bioreactors

Most biologic processes are developed in lab-scale tabletop bioreactors with small operating volumes. M-Star CFD helps you scale up processes from lab-scale to production-scale build with greater speed and fidelity than ever before.

CFD Modeling Capabilities for Bioreactors

M-Star CFD was built to handle simulations with millions of grid points and millions of individually tracked bubbles. This allows you to model complex bioreactor physics problems—including mass transfer, multiphase fluid flow, and more—accurately and in minutes.

Latest Resources

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

How-To Guide

Mixing Bioreactors with Bottom Mounted Impellers

Learn how to use M-Star CFD to predict the single fluid and multi-fluid mixing behavior of bioreactors across a variety of scales, fluid volumes, and impeller speeds.

Success Story

"A mechanistic approach for predicting mass transfer in bioreactors"

Read how M-Star worked with Bristol-Myers Squibb to develop and validate physics-based models for predicting mass transfer in sparged bioreactors at multiple scales.

Success Story

"Modeling mass transfer in stirred microbioreactors"

Pfizer works with M-Star to present a mechanistic in-silico approach for predicting mixing and mass transfer in a two-phase stirred tank bioreactor.

Webinar

Real-time CFD-Based Bioreactor Models with Integrated Process Control

M-Star President John Thomas highlights the transformative role of digital twins in reactor modeling, emphasizing a physics-based modeling approach over traditional methods.

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

Model Mass Transfer, Multiphase Fluid Flow & More in Bioreactors

CFD Modeling Capabilities for Bioreactors

Latest Resources

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

How-To Guide

Mixing Bioreactors with Bottom Mounted Impellers

Success Story

"A mechanistic approach for predicting mass transfer in bioreactors"​

Success Story

"Modeling mass transfer in stirred microbioreactors"​

Webinar

Real-time CFD-Based Bioreactor Models with Integrated Process Control

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

"A mechanistic approach for predicting mass transfer in bioreactors"

"Modeling mass transfer in stirred microbioreactors"