Applications

Predict Mixing Processes Inside Agitated Tanks

Mixing processes in multi-fluid systems present a complicated competition between fluid inertia, viscosity, and buoyancy. M-Star CFD helps you model and predict real-time fluid mechanics in rheologically complex laminar, transitional, and turbulent systems.

CFD Modeling Capabilities for Agitated Tanks

M-Star CFD software was built to run on millions and billions of lattice grid points, helping you rapidly and accurately model complex physics simulations—such as transport physics and blending in two-fluid, density stratified systems.

Latest Resources

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

AAPS PharmSciTech

"A CFD Digital Twin to Understand Miscible Fluid Blending"

Read how AbbVie developed digital twins of multi-fluid agitated tanks using M-Star CFD. From these twins, the mixing and dilution processes of monoclonal antibody (mAb) drug substance was optimized in silico.

Video Tutorial

Predicting Blend Time in Simple Agitated Tanks

A step-by-step approach for predicting fluid blend times in simple agitated tanks. Although applied here to a single phase, fully turbulent system, the approach is general and can be applied to any mixing configuration.

How-To Guide

Choosing a Simulation Resolution: Agitated Tanks

Use M-Star CFD software to predict the effects of resolution on power number across a range or Reynolds numbers for multiple impellers. From this output, we will provide guidance on recommended simulation resolutions for agitated tanks.

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 Mixing Processes Inside Agitated Tanks

CFD Modeling Capabilities for Agitated Tanks

Latest Resources

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

AAPS PharmSciTech

"A CFD Digital Twin to Understand Miscible Fluid Blending"

Video Tutorial

Predicting Blend Time in Simple Agitated Tanks

How-To Guide

Choosing a Simulation Resolution: Agitated Tanks

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

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