Applications

Filling and Recirculation Systems

Recirculation and jet-mixing systems present competition between blend time and residence time—along with strong spatial variations in fluid velocity. As a fully transient and three-dimensional solver, M-Star CFD is ideally suited to capture these complex physics.

CFD Modeling Capabilities for Recirculation Systems

M-Star CFD was built to run on millions and billions of lattice grid points. This allows you to model complex jet mixing 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.

Submitted to Chemical Engineering Science

Mixing in Large Tanks using Static and Rotating Jets

Read how the Department of Energy Savanna River National Lab uses M-Star CFD to optimize blending processes in nuclear storage vessels. In systems where physical experiment is not practical, M-Star CFD can be used to perform numerical experiments in silico.

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Predicting blend time in a 66,000 gallon tank agitated by a recirculating jet mixer

Webinar

Residence Time Distributions, Mean-Age Analysis, and Flow Characterization in Open Systems

M-Star President John Thomas presents a lively presentation on how to analyze flow through an open system. This includes computing residence time distributions, calculating mean-age distribution, and analyzing particle lifelines. This discussion is particularly relevant for continuous manufacturing, waste-water treatment, and HVAC systems.

Analyze flow through recirculation systems

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

Filling and Recirculation Systems

CFD Modeling Capabilities for Recirculation Systems

Latest Resources

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

Submitted to Chemical Engineering Science

Mixing in Large Tanks using Static and Rotating Jets

Webinar

Residence Time Distributions, Mean-Age Analysis, and Flow Characterization in Open Systems

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