How AbbVie Built Digital Twins to Understand Miscible Fluid Blending

Predicting real-time fluid mechanics within a physical mixing tank with a fidelity that rivals experimental data.

Pharmaceutical companies like AbbVie face unique mixing challenges in the manufacturing process, causing significant processing and scale-up issues. Where literature correlations, experiments, and numerical modeling fall short, CFD software excels.

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

The following case study follows findings from research featured in AAPS PharmSciTech, 2021.

Authors: John Thomas, Kushal Sinha, Gayathri Shivkumar, Lei Cao, Marina Funck, Sherwin Shang, Nandkishor K. Nere